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article-title
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Previous antibiotic exposure and antibiotic resistance of commensal Staphylococcus aureus in Spanish primary care
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A. Boada et al.
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alt-title
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Antibiotics and resistance of Staphylococcus aureus
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abstract
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Abstract
Introduction: Commensal flora of healthy people is becoming an important reservoir of resistant bacteria.
Objectives: To evaluate the relationship of previous antibiotic-dispensed and resistance pattern of strains of Staphylococcus aureus in primary care patients.
Methods: A cross-sectional study was carried out in seven primary care centres in Catalonia, Spain, from October 2010 to May 2011, as part of the APRES (The appropriateness of prescribing antibiotics in primary care in Europe concerning antibiotic resistance) study. Outpatients aged 4 or more who did not present an infectious disease and had not taken antibiotic or had not been hospitalised in the previous 3 months were invited to participate. Nasal swabs were collected for S. aureus culture, and antimicrobial susceptibility testing was carried out. Antibiotics dispensed boxes in the previous 4 years were extracted from Information System for Research in Primary Care.
Results: A total of 4,001 nasal swabs were collected, and 3,969 were tested for identification, 765 S. aureus were tested for resistance. Resistance rates to penicillin, azithromycin and methicillin were 87.1%, 11.6% and 1.3%, respectively, and a total of 10 MRSA strains were isolated (1.3%). Penicillin-resistant staphylococci were statistically significantly associated with the previous number of packages of penicillin dispensed (OR, 1.18; 95% CI, 1.04–1.35).
Conclusion: Although no causal inference is possible, an association was observed between previous antibiotic dispensation and isolation of resistant organisms in community-dwelling individuals, mainly between packages of penicillin and penicillin-resistant staphylococci.
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title
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Abstract
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p
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Introduction: Commensal flora of healthy people is becoming an important reservoir of resistant bacteria.
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p
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Objectives: To evaluate the relationship of previous antibiotic-dispensed and resistance pattern of strains of Staphylococcus aureus in primary care patients.
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p
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Methods: A cross-sectional study was carried out in seven primary care centres in Catalonia, Spain, from October 2010 to May 2011, as part of the APRES (The appropriateness of prescribing antibiotics in primary care in Europe concerning antibiotic resistance) study. Outpatients aged 4 or more who did not present an infectious disease and had not taken antibiotic or had not been hospitalised in the previous 3 months were invited to participate. Nasal swabs were collected for S. aureus culture, and antimicrobial susceptibility testing was carried out. Antibiotics dispensed boxes in the previous 4 years were extracted from Information System for Research in Primary Care.
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p
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Results: A total of 4,001 nasal swabs were collected, and 3,969 were tested for identification, 765 S. aureus were tested for resistance. Resistance rates to penicillin, azithromycin and methicillin were 87.1%, 11.6% and 1.3%, respectively, and a total of 10 MRSA strains were isolated (1.3%). Penicillin-resistant staphylococci were statistically significantly associated with the previous number of packages of penicillin dispensed (OR, 1.18; 95% CI, 1.04–1.35).
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Conclusion: Although no causal inference is possible, an association was observed between previous antibiotic dispensation and isolation of resistant organisms in community-dwelling individuals, mainly between packages of penicillin and penicillin-resistant staphylococci.
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body
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KEY MESSAGES
One-fifth of the individuals are carriers of Staphylococcus aureus, with the percentage being higher among children
Methicillin-resistant Staphylococcus aureus is still uncommon in primary care
A trend towards a relationship between the previous use of antibiotics and the isolation of resistant microorganisms in otherwise healthy carriers was observed in this study
Introduction
Approximately 85% of antibiotics in Spain are prescribed to outpatients, but information available on the antibiotic resistance profile is nearly exclusively based on specimens from hospitalised patients, mainly those with severe and invasive infectious diseases [1]. It is well established that the prevalence of resistance to antibiotics greatly depends on their use since increased consumption of these drugs may not only produce higher resistance at the individual patient level but may also spur greater resistance at the community level, which can harm individual patients. The relationship between antibiotic consumption and the emergence of resistant pathogenic germs is well established [1,2], but evidence about previous antibiotic use regarding the isolation of resistant commensal germs in otherwise healthy individuals is scarce.
Staphylococcus aureus is a commensal organism that is widely distributed in nature. Approximately 20%–30% of healthy people carry this organism, mostly in the nose [3]. Carriage of S. aureus rarely causes disease in healthy individuals, but it is associated with an increased risk for the emergence of infections in various populations. Individuals in the community mostly become infected with their own carriage strain [4]. Since the introduction of antibiotics, S. aureus has quickly become resistant to many relevant antibiotics such as β-lactams and macrolides [4,5]. Antibiotic-resistant strains, such as methicillin-resistant S. aureus (MRSA), have emerged as a significant threat in both the hospital and community settings [6]. Several studies in healthy individuals in the general population and in children or specific groups have shown resistance to S. aureus [7–12]. Therefore, studies on the probable association between consumption of antibiotics by the individual and resistance to S. aureus in the general population are needed.
The APRES (The appropriateness of prescribing antibiotics in primary care in Europe concerning antibiotic resistance) project aimed at providing information and recommendations on the appropriateness of prescribing antibiotics in primary health care in nine European countries and was funded by the European Commission [12]. Several papers on the prevalence of S. aureus and pneumococcus carriage, and the association with demographic variables and antibiotic resistance, have been published so far [10–15]. However, information about previous individual antibiotic exposure was only available in Spain.
Therefore, we evaluated the association between previous antibiotic reimbursement data with antibiotic resistance profiles in healthy individuals with nasal carriage of staphylococci in primary care in Catalonia (Spain).
Methods
We conducted a multi-centre cross-sectional study. The methodology of the APRES study has been described elsewhere [10,16]. Briefly, we studied the relationship of antibiotic prescription reimbursement data with the results of the samples collected during the APRES study of participants in 27 practices (18 GPs, eight paediatricians and one primary care nurse) from seven different primary healthcare centres in Catalonia in 2010–2011. Clinicians recruited patients aged 4 or more years who did not present any sign of infectious disease and had not taken any antibiotic or had not been admitted to any health centre in the previous 3 months. To obtain samples during the study period from October 2010 to May 2011, individuals were selected at a rate of about 12 patients per week in family medicine or nurse consultations and three patients per week in paediatric care consultations from Monday to Thursday. We did not register patients who declined to participate.
Nasal swabs were collected from all patients according to an established protocol [16,17]. Samples were sent to two different laboratories of the study area: Laboratori Clínic l’Hospitalet and Laboratori Clínic Bon Pastor. All the S. aureus isolated were tested in a central laboratory (Maastricht University Medical Centre, the Netherlands) for susceptibility to 12 antibiotics assumed to represent a range of commonly used antibiotic classes. The procedure included standardised microdilution tests and classification afterwards (resistant versus susceptible) was based on the breakpoints of the minimum inhibitory concentrations (MIC) of S. aureus defined in the 2017 guidelines of the European Committee on Antimicrobial Susceptibility Testing (EUCAST), published by the European Society of Clinical Microbiology and Infectious Diseases, the European Centre for Disease Prevention and Control and the European national breakpoints committees [17] (Table 1). Breakpoints for S. aureus have not changed since 2011. The genotypic structure of the isolated MRSA strains was established with the spa typing method [10].
Table 1. EUCAST definitions of clinical breakpoints issued by the 2017 European Committee on Antimicrobial Susceptibility Testing (EUCAST) and the number of isolates studied.
EUCAST breakpoints* Resistance of the samples collected from the carriers
Antibiotic S ≤ mg/L R > Mg/L S N (%) R N (%)
Penicillin 0.125 0.125 99 (12.9) 666 (87.1)
Oxacillin 0.25 2 755 (98.7) 10 (1.3)
Erythromycin 1 2 679 (88.8) 86 (11.2)
Azithromycin 1 2 676 (88.4) 89 (11.6)
Clindamycin 0.25 0.5 691 (90.3) 74 (9.7)
Ciprofloxacin1 1 1 747 (97.6) 18 (2.4)
Gentamicin 1 1 757 (99.0) 8 (1.0)
Tetracycline 1 2 751 (98.2) 14 (1.8)
Vancomycin 2 2 765 (100) 0 (-)
Linezolid 4 4 765 (100) 0 (-)
Daptomycin 1 1 765 (100) 0 (-)
S = susceptible; R = resistant.
* The figures correspond to the minimal inhibitory concentrations (MIC) in mg/L above, which germs are considered as resistant.
1 Breakpoints are based on high dose therapy (750 mg ×2). The boxes of antibiotics reimbursed in the previous 4 years were extracted from the Information System for Research in Primary Care (SIDIAP Database), which contains the computerized primary care medical records of approximately 80% of the Catalan population and data on dispensation of publically financed medication. Despite the availability of the daily defined dose (DDD) of the different antibacterial agents in the same 4-year period, we preferred the use of boxes as suggested by the European Centre for Disease Prevention and Control because of the difficulty of using DDDs for children, invalid for paediatric formulations [18].
Statistical analysis
Descriptive statistics were used to analyse the individuals’ characteristics and the antibiotic-resistance patterns of the staphylococci isolated. The prevalence of the resistance rates and the number of boxes of the different antibiotics prescribed in the previous 4 years were calculated. To evaluate the association of the previous number of boxes dispensed and the staphylococcal resistance patterns, a multivariate logistic regression analysis model was constructed with resistance of isolated S. aureus strain as the dependent variable and considering age, sex and number of boxes of the different antibiotics prescribed (according to the Anatomical Therapeutic Chemical Classification System) in the prior 4 years as independent variables. Adjusted odds ratios (ORs) with their 95% confidence interval (95% CI) were estimated. Antibiotics evaluated were penicillin, oxacillin, erythromycin, azithromycin, clindamycin, ciprofloxacin, gentamicin, tetracycline, vancomycin, linezolid and daptomycin. Differences were considered to be significant with P < 0.05.
The study was approved by the Research Ethics Committee IDIAP Jordi Gol Clinic (P10/55), and each participant voluntarily signed the informed consent. In the case of minors, the father or mother or legal guardian was the one who signed it.
Anonymity guaranteed and confidentiality, as well as the protection of data.
Results
Demographic characteristics
A total of 4,001 nasal swabs were collected, and 3,969 were tested for identification. Finally, 776 (19.6%) were S. aureus positive, of which 765 samples (19.3%) (95% CI, 18.1–20.5) were tested for resistance. The mean age of evaluated carriers was 43.2 years (SD: 23.1). Carriage was higher in children less than 14 (136 cases; 35.6%) than in individuals aged 15–64 (459 cases; 19.4%) and people more than 65 years old (170 positive cases; 14%). Among the 765 evaluated subjects colonised with S. aureus, 370 (48.2%) were male.
Antimicrobial susceptibility
Based on the antimicrobial susceptibility reports among the 765 evaluated S. aureus isolates, 10 (1.3%; 95% CI, 0.7%–2.4%) were classified as MRSA. The highest resistance rates were observed to penicillin, followed by azithromycin, erythromycin and clindamycin, with resistance percentages of 87.1%, 11.6%, 11.2%, and 9.7%, respectively. A total of 1.3% strains were resistant to oxacillin (Table 1); 83 strains did not exhibit any resistance to the antibiotics tested (10.8%).
Association with previous antibiotic exposure
Of the 765 individuals harbouring S. aureus strains, 208 were found not to have taken antibiotics in the previous 4 years (27.1%). Of the subjects, 18.1% had taken one box, 13.0% two boxes, 11.5% three boxes of antibiotics, and 30.3% more than three boxes. The mean number of boxes of antibiotics consumed in the previous 4 years was 3.3 (SD: 5.2 and range 0–66), with penicillin being the most frequent antibiotic taken (mean of 1.5 packages; SD: 2.3), followed by ophthalmological presentations including antibacterial drugs (mean of 0.5 containers; SD: 2.9) and topical antibiotics (0.3 boxes; SD: 0.8).
Although not statistically significant, a trend was shown in which patients who had more than one antibiotic dispensed in the previous 4 years tended to harbour more staphylococcal strains resistant to any antibiotic compared to those without using antibiotics (OR, 1.07; 95% CI, 0.99–1.16; P = 0.55). Isolation of penicillin-resistant staphylococci was significantly associated with the previous number of packages of penicillin (OR, 1.18; 95% CI, 1.04–1.35) but not with other antibiotics packages. No association was observed between the number of boxes among individuals harbouring S. aureus resistant to oxacillin, clindamycin or azithromycin. However, we did observe a statistically significant association between harbouring MRSA and the previous prescription of any antibiotics (OR, 1.6; 95% CI, 1.16–2.20) (Table 2).
Table 2. Association of the previous number of antibiotics boxes dispensed and the staphylococcal resistance. A multivariate logistic regression analysis model.
Variable 95% CI OR P value
Staphylococcus aureus resistance
Age (years) 0.98–1.00 0.99 0.24
Sex (women) 0.45–1.14 0.72 0.16
Any antibioticsa 0.99–1.16 1.07 0.55
Penicillin-resistant Staphylococcus aureus
Age (years) 0.99–1.01 1.00 0.76
Sex (women) 0.46–1.01 0.70 0.11
Penicillin packages (number) 1.04–1.35 1.18 0.01
Methicillin-resistant Staphylococcus aureus (MRSA)
Age (years) 0.99–1.05 1.02 0.22
Sex (women) 0.15–2.43 0.61 0.48
Any antibioticsa 1.16–2.20 1.60 <0.01
aHave taken one or more antibiotic boxes.
Discussion
Main findings
We found an average S. aureus nasal colonization rate of 19.3%. Except for the known high resistance against penicillin, the highest recorded resistance rate was found for azithromycin, and a total of 10 MRSA strains were isolated (1.3%). Despite not observing statistically significant differences, a trend towards a relationship between the dispensation of antibiotics in the previous 4 years and the isolation of resistant microorganisms in otherwise healthy carriers was observed in this study. However, a significant association was found between previous number of packages of penicillin dispensed and penicillin-resistant strains of S. aureus.
Limitations and strengths
There are a number of limitations to this study. Although the most important limitation of this study was that the fieldwork was conducted in 2010 and 2011, we used the current resistance breakpoints published in 2017. We do not think the results would have been different if the samples had been collected more recently, since the consumption of antibiotics in our country has been stable over the last years and the main aim of the present study was to determine a possible relationship between previous antibiotic exposure and the prevalence of relevant resistant strains in the noses of healthy individuals. On the other hand, since we carried out a cross-sectional study and compared the results of the resistance patterns of the staphylococci harboured with previous antibiotic exposure, we cannot infer any causality effect between antibiotic exposure and resistance. However, we were able to compare the number of boxes of antibiotics previously dispensed and the resistance patterns of commensal staphylococci in otherwise healthy individuals.
Another limitation of the study is the fact that we considered antibiotics dispensed in the previous 4 years. Prescription of antibiotics based on reimbursement data can mimic antibiotic consumption in most European countries, but is not true in southern European countries. A landmark paper published in 2007 with the use of sales data in 2002–2005 showed a difference between prescription and consumption of up to 30% in Spain, mainly due to the over-the-counter sale of antibiotics without a medical prescription and antibiotics prescribed by the private sector [19]. A higher antibiotic consumption would very likely have been associated with greater resistance rates to antibiotics.
Another weakness is that this study monitors colonisation at a single time-point, although colonisation is known to be variable over time and it should be differentiated between persistent and intermitted carriers [20]. Only nasal swab samples were used to determine S. aureus colonization status, as the study protocol did not include swabbing of extranasal body sites. While the prevalence might be underestimated by using nasal swabs, we assume our final sample of S. aureus to be representative of all carriage. We also assume that antimicrobial resistance patterns in the commensal flora of the nose are comparable with isolates of pathogenic staphylococci. However, for purposes of empirical treatment, data on resistance of pathogenic strains would also be required.
The greatest strength of this work is that it is a study in primary care patients. We are therefore able to extrapolate these results to what we observe in primary care.
Comparison with other studies
S. aureus and MRSA carriers
We found an average S. aureus nasal colonization rate of 19.3%, which is comparable to previously described colonization rates in the general population in Europe and the United States [21,22]. The low prevalence of MRSA isolates, 10 (1.3%) was also found to be consistent with studies from Europe. We observed a positive association between previous dispensation of any antibiotics and isolation of MRSA, but caution is needed as MRSA was only isolated in 1.3% of the individuals in our study. This is consistent with previous hospital studies where antibiotic surgical prophylaxis increases nasal carriage of antibiotic-resistant staphylococci [23]. Evidence seems to indicate that the endogenous microflora of the patient may be critical since clinical studies have found that S. aureus skin colonisation increases the risk of a subsequent infection by three-fold, and up to 80% of cases of staphylococcal bacteraemia are caused by strains identical to those in the patient’s nasal cavity [24]. Furthermore, patient colonisation with S. aureus is associated with a 2–9-fold increased risk of infection [25].
Antibiotic consumption and antibiotic-resistant association
The association between antibiotic consumption and antibiotic-resistant organisms has been widely observed, mainly for other respiratory tract pathogens. For instance, Granizo et al. observed a clear association between previous use of macrolides and β-lactam with erythromycin-resistant pneumococci in Spain [26]. Also, Malotra et al. note that azithromycin and erythromycin use increases resistance of streptococci in healthy carriers [27]. We already knew of the relationship between antibiotic prescribing and bacterial resistance in primary care when antibiotics were prescribed for respiratory or urinary infection [2]. Other studies have also shown an association between previous consumption of antibiotics and S. aureus resistance. For example, in a recent randomised controlled trial, Australian children diagnosed with bronchiectasis assigned to intermittent azithromycin consumption showed higher macrolide-resistant S. aureus carriage than those assigned to placebo [28].
The commensal flora of community-dwelling persons is, therefore, becoming an important reservoir of resistant bacteria. Fighting antibiotic resistance starts with the restricted use of antibiotics, leading to less selection pressure on the bacterial flora circulating in the population, but also on the commensal flora in an individual. Knowledge of the local resistance rates of the most common organisms to antibiotics is crucial for better prescribing of antibiotics. In a recent paper from the APRES project, van Bijnen et al. observed that many guidelines for skin infections do not contain data on local resistance [29]. GPs should be informed of the resistance profiles of the most frequent organisms causing infectious disease for more prudent use of antibiotics.
Conclusion
A statistically significant relationship was observed between the number of boxes of penicillin dispensed and staphylococcal resistance towards penicillin. Although a causal inference between previous exposure to antibiotics and acquisition of resistant organisms cannot be drawn in this study, we also observed a trend for a higher dispensation of boxes of antibiotics among individuals with resistant organisms compared to those with susceptible staphylococci.
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KEY MESSAGES
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KEY MESSAGES
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One-fifth of the individuals are carriers of Staphylococcus aureus, with the percentage being higher among children
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Methicillin-resistant Staphylococcus aureus is still uncommon in primary care
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p
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A trend towards a relationship between the previous use of antibiotics and the isolation of resistant microorganisms in otherwise healthy carriers was observed in this study
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Introduction
Approximately 85% of antibiotics in Spain are prescribed to outpatients, but information available on the antibiotic resistance profile is nearly exclusively based on specimens from hospitalised patients, mainly those with severe and invasive infectious diseases [1]. It is well established that the prevalence of resistance to antibiotics greatly depends on their use since increased consumption of these drugs may not only produce higher resistance at the individual patient level but may also spur greater resistance at the community level, which can harm individual patients. The relationship between antibiotic consumption and the emergence of resistant pathogenic germs is well established [1,2], but evidence about previous antibiotic use regarding the isolation of resistant commensal germs in otherwise healthy individuals is scarce.
Staphylococcus aureus is a commensal organism that is widely distributed in nature. Approximately 20%–30% of healthy people carry this organism, mostly in the nose [3]. Carriage of S. aureus rarely causes disease in healthy individuals, but it is associated with an increased risk for the emergence of infections in various populations. Individuals in the community mostly become infected with their own carriage strain [4]. Since the introduction of antibiotics, S. aureus has quickly become resistant to many relevant antibiotics such as β-lactams and macrolides [4,5]. Antibiotic-resistant strains, such as methicillin-resistant S. aureus (MRSA), have emerged as a significant threat in both the hospital and community settings [6]. Several studies in healthy individuals in the general population and in children or specific groups have shown resistance to S. aureus [7–12]. Therefore, studies on the probable association between consumption of antibiotics by the individual and resistance to S. aureus in the general population are needed.
The APRES (The appropriateness of prescribing antibiotics in primary care in Europe concerning antibiotic resistance) project aimed at providing information and recommendations on the appropriateness of prescribing antibiotics in primary health care in nine European countries and was funded by the European Commission [12]. Several papers on the prevalence of S. aureus and pneumococcus carriage, and the association with demographic variables and antibiotic resistance, have been published so far [10–15]. However, information about previous individual antibiotic exposure was only available in Spain.
Therefore, we evaluated the association between previous antibiotic reimbursement data with antibiotic resistance profiles in healthy individuals with nasal carriage of staphylococci in primary care in Catalonia (Spain).
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title
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Introduction
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p
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Approximately 85% of antibiotics in Spain are prescribed to outpatients, but information available on the antibiotic resistance profile is nearly exclusively based on specimens from hospitalised patients, mainly those with severe and invasive infectious diseases [1]. It is well established that the prevalence of resistance to antibiotics greatly depends on their use since increased consumption of these drugs may not only produce higher resistance at the individual patient level but may also spur greater resistance at the community level, which can harm individual patients. The relationship between antibiotic consumption and the emergence of resistant pathogenic germs is well established [1,2], but evidence about previous antibiotic use regarding the isolation of resistant commensal germs in otherwise healthy individuals is scarce.
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p
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Staphylococcus aureus is a commensal organism that is widely distributed in nature. Approximately 20%–30% of healthy people carry this organism, mostly in the nose [3]. Carriage of S. aureus rarely causes disease in healthy individuals, but it is associated with an increased risk for the emergence of infections in various populations. Individuals in the community mostly become infected with their own carriage strain [4]. Since the introduction of antibiotics, S. aureus has quickly become resistant to many relevant antibiotics such as β-lactams and macrolides [4,5]. Antibiotic-resistant strains, such as methicillin-resistant S. aureus (MRSA), have emerged as a significant threat in both the hospital and community settings [6]. Several studies in healthy individuals in the general population and in children or specific groups have shown resistance to S. aureus [7–12]. Therefore, studies on the probable association between consumption of antibiotics by the individual and resistance to S. aureus in the general population are needed.
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p
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The APRES (The appropriateness of prescribing antibiotics in primary care in Europe concerning antibiotic resistance) project aimed at providing information and recommendations on the appropriateness of prescribing antibiotics in primary health care in nine European countries and was funded by the European Commission [12]. Several papers on the prevalence of S. aureus and pneumococcus carriage, and the association with demographic variables and antibiotic resistance, have been published so far [10–15]. However, information about previous individual antibiotic exposure was only available in Spain.
|
|
p
|
Therefore, we evaluated the association between previous antibiotic reimbursement data with antibiotic resistance profiles in healthy individuals with nasal carriage of staphylococci in primary care in Catalonia (Spain).
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|
sec
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Methods
We conducted a multi-centre cross-sectional study. The methodology of the APRES study has been described elsewhere [10,16]. Briefly, we studied the relationship of antibiotic prescription reimbursement data with the results of the samples collected during the APRES study of participants in 27 practices (18 GPs, eight paediatricians and one primary care nurse) from seven different primary healthcare centres in Catalonia in 2010–2011. Clinicians recruited patients aged 4 or more years who did not present any sign of infectious disease and had not taken any antibiotic or had not been admitted to any health centre in the previous 3 months. To obtain samples during the study period from October 2010 to May 2011, individuals were selected at a rate of about 12 patients per week in family medicine or nurse consultations and three patients per week in paediatric care consultations from Monday to Thursday. We did not register patients who declined to participate.
Nasal swabs were collected from all patients according to an established protocol [16,17]. Samples were sent to two different laboratories of the study area: Laboratori Clínic l’Hospitalet and Laboratori Clínic Bon Pastor. All the S. aureus isolated were tested in a central laboratory (Maastricht University Medical Centre, the Netherlands) for susceptibility to 12 antibiotics assumed to represent a range of commonly used antibiotic classes. The procedure included standardised microdilution tests and classification afterwards (resistant versus susceptible) was based on the breakpoints of the minimum inhibitory concentrations (MIC) of S. aureus defined in the 2017 guidelines of the European Committee on Antimicrobial Susceptibility Testing (EUCAST), published by the European Society of Clinical Microbiology and Infectious Diseases, the European Centre for Disease Prevention and Control and the European national breakpoints committees [17] (Table 1). Breakpoints for S. aureus have not changed since 2011. The genotypic structure of the isolated MRSA strains was established with the spa typing method [10].
Table 1. EUCAST definitions of clinical breakpoints issued by the 2017 European Committee on Antimicrobial Susceptibility Testing (EUCAST) and the number of isolates studied.
EUCAST breakpoints* Resistance of the samples collected from the carriers
Antibiotic S ≤ mg/L R > Mg/L S N (%) R N (%)
Penicillin 0.125 0.125 99 (12.9) 666 (87.1)
Oxacillin 0.25 2 755 (98.7) 10 (1.3)
Erythromycin 1 2 679 (88.8) 86 (11.2)
Azithromycin 1 2 676 (88.4) 89 (11.6)
Clindamycin 0.25 0.5 691 (90.3) 74 (9.7)
Ciprofloxacin1 1 1 747 (97.6) 18 (2.4)
Gentamicin 1 1 757 (99.0) 8 (1.0)
Tetracycline 1 2 751 (98.2) 14 (1.8)
Vancomycin 2 2 765 (100) 0 (-)
Linezolid 4 4 765 (100) 0 (-)
Daptomycin 1 1 765 (100) 0 (-)
S = susceptible; R = resistant.
* The figures correspond to the minimal inhibitory concentrations (MIC) in mg/L above, which germs are considered as resistant.
1 Breakpoints are based on high dose therapy (750 mg ×2). The boxes of antibiotics reimbursed in the previous 4 years were extracted from the Information System for Research in Primary Care (SIDIAP Database), which contains the computerized primary care medical records of approximately 80% of the Catalan population and data on dispensation of publically financed medication. Despite the availability of the daily defined dose (DDD) of the different antibacterial agents in the same 4-year period, we preferred the use of boxes as suggested by the European Centre for Disease Prevention and Control because of the difficulty of using DDDs for children, invalid for paediatric formulations [18].
Statistical analysis
Descriptive statistics were used to analyse the individuals’ characteristics and the antibiotic-resistance patterns of the staphylococci isolated. The prevalence of the resistance rates and the number of boxes of the different antibiotics prescribed in the previous 4 years were calculated. To evaluate the association of the previous number of boxes dispensed and the staphylococcal resistance patterns, a multivariate logistic regression analysis model was constructed with resistance of isolated S. aureus strain as the dependent variable and considering age, sex and number of boxes of the different antibiotics prescribed (according to the Anatomical Therapeutic Chemical Classification System) in the prior 4 years as independent variables. Adjusted odds ratios (ORs) with their 95% confidence interval (95% CI) were estimated. Antibiotics evaluated were penicillin, oxacillin, erythromycin, azithromycin, clindamycin, ciprofloxacin, gentamicin, tetracycline, vancomycin, linezolid and daptomycin. Differences were considered to be significant with P < 0.05.
The study was approved by the Research Ethics Committee IDIAP Jordi Gol Clinic (P10/55), and each participant voluntarily signed the informed consent. In the case of minors, the father or mother or legal guardian was the one who signed it.
Anonymity guaranteed and confidentiality, as well as the protection of data.
|
|
title
|
Methods
|
|
p
|
We conducted a multi-centre cross-sectional study. The methodology of the APRES study has been described elsewhere [10,16]. Briefly, we studied the relationship of antibiotic prescription reimbursement data with the results of the samples collected during the APRES study of participants in 27 practices (18 GPs, eight paediatricians and one primary care nurse) from seven different primary healthcare centres in Catalonia in 2010–2011. Clinicians recruited patients aged 4 or more years who did not present any sign of infectious disease and had not taken any antibiotic or had not been admitted to any health centre in the previous 3 months. To obtain samples during the study period from October 2010 to May 2011, individuals were selected at a rate of about 12 patients per week in family medicine or nurse consultations and three patients per week in paediatric care consultations from Monday to Thursday. We did not register patients who declined to participate.
|
|
p
|
Nasal swabs were collected from all patients according to an established protocol [16,17]. Samples were sent to two different laboratories of the study area: Laboratori Clínic l’Hospitalet and Laboratori Clínic Bon Pastor. All the S. aureus isolated were tested in a central laboratory (Maastricht University Medical Centre, the Netherlands) for susceptibility to 12 antibiotics assumed to represent a range of commonly used antibiotic classes. The procedure included standardised microdilution tests and classification afterwards (resistant versus susceptible) was based on the breakpoints of the minimum inhibitory concentrations (MIC) of S. aureus defined in the 2017 guidelines of the European Committee on Antimicrobial Susceptibility Testing (EUCAST), published by the European Society of Clinical Microbiology and Infectious Diseases, the European Centre for Disease Prevention and Control and the European national breakpoints committees [17] (Table 1). Breakpoints for S. aureus have not changed since 2011. The genotypic structure of the isolated MRSA strains was established with the spa typing method [10].
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table-wrap
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Table 1. EUCAST definitions of clinical breakpoints issued by the 2017 European Committee on Antimicrobial Susceptibility Testing (EUCAST) and the number of isolates studied.
EUCAST breakpoints* Resistance of the samples collected from the carriers
Antibiotic S ≤ mg/L R > Mg/L S N (%) R N (%)
Penicillin 0.125 0.125 99 (12.9) 666 (87.1)
Oxacillin 0.25 2 755 (98.7) 10 (1.3)
Erythromycin 1 2 679 (88.8) 86 (11.2)
Azithromycin 1 2 676 (88.4) 89 (11.6)
Clindamycin 0.25 0.5 691 (90.3) 74 (9.7)
Ciprofloxacin1 1 1 747 (97.6) 18 (2.4)
Gentamicin 1 1 757 (99.0) 8 (1.0)
Tetracycline 1 2 751 (98.2) 14 (1.8)
Vancomycin 2 2 765 (100) 0 (-)
Linezolid 4 4 765 (100) 0 (-)
Daptomycin 1 1 765 (100) 0 (-)
S = susceptible; R = resistant.
* The figures correspond to the minimal inhibitory concentrations (MIC) in mg/L above, which germs are considered as resistant.
1 Breakpoints are based on high dose therapy (750 mg ×2).
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Table 1.
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EUCAST definitions of clinical breakpoints issued by the 2017 European Committee on Antimicrobial Susceptibility Testing (EUCAST) and the number of isolates studied.
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EUCAST definitions of clinical breakpoints issued by the 2017 European Committee on Antimicrobial Susceptibility Testing (EUCAST) and the number of isolates studied.
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table
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EUCAST breakpoints* Resistance of the samples collected from the carriers
Antibiotic S ≤ mg/L R > Mg/L S N (%) R N (%)
Penicillin 0.125 0.125 99 (12.9) 666 (87.1)
Oxacillin 0.25 2 755 (98.7) 10 (1.3)
Erythromycin 1 2 679 (88.8) 86 (11.2)
Azithromycin 1 2 676 (88.4) 89 (11.6)
Clindamycin 0.25 0.5 691 (90.3) 74 (9.7)
Ciprofloxacin1 1 1 747 (97.6) 18 (2.4)
Gentamicin 1 1 757 (99.0) 8 (1.0)
Tetracycline 1 2 751 (98.2) 14 (1.8)
Vancomycin 2 2 765 (100) 0 (-)
Linezolid 4 4 765 (100) 0 (-)
Daptomycin 1 1 765 (100) 0 (-)
|
|
tr
|
EUCAST breakpoints* Resistance of the samples collected from the carriers
|
|
th
|
|
|
th
|
EUCAST breakpoints*
|
|
th
|
Resistance of the samples collected from the carriers
|
|
tr
|
Antibiotic S ≤ mg/L R > Mg/L S N (%) R N (%)
|
|
th
|
Antibiotic
|
|
th
|
S ≤ mg/L
|
|
th
|
R > Mg/L
|
|
th
|
S N (%)
|
|
th
|
R N (%)
|
|
tr
|
Penicillin 0.125 0.125 99 (12.9) 666 (87.1)
|
|
td
|
Penicillin
|
|
td
|
0.125
|
|
td
|
0.125
|
|
td
|
99 (12.9)
|
|
td
|
666 (87.1)
|
|
tr
|
Oxacillin 0.25 2 755 (98.7) 10 (1.3)
|
|
td
|
Oxacillin
|
|
td
|
0.25
|
|
td
|
2
|
|
td
|
755 (98.7)
|
|
td
|
10 (1.3)
|
|
tr
|
Erythromycin 1 2 679 (88.8) 86 (11.2)
|
|
td
|
Erythromycin
|
|
td
|
1
|
|
td
|
2
|
|
td
|
679 (88.8)
|
|
td
|
86 (11.2)
|
|
tr
|
Azithromycin 1 2 676 (88.4) 89 (11.6)
|
|
td
|
Azithromycin
|
|
td
|
1
|
|
td
|
2
|
|
td
|
676 (88.4)
|
|
td
|
89 (11.6)
|
|
tr
|
Clindamycin 0.25 0.5 691 (90.3) 74 (9.7)
|
|
td
|
Clindamycin
|
|
td
|
0.25
|
|
td
|
0.5
|
|
td
|
691 (90.3)
|
|
td
|
74 (9.7)
|
|
tr
|
Ciprofloxacin1 1 1 747 (97.6) 18 (2.4)
|
|
td
|
Ciprofloxacin1
|
|
td
|
1
|
|
td
|
1
|
|
td
|
747 (97.6)
|
|
td
|
18 (2.4)
|
|
tr
|
Gentamicin 1 1 757 (99.0) 8 (1.0)
|
|
td
|
Gentamicin
|
|
td
|
1
|
|
td
|
1
|
|
td
|
757 (99.0)
|
|
td
|
8 (1.0)
|
|
tr
|
Tetracycline 1 2 751 (98.2) 14 (1.8)
|
|
td
|
Tetracycline
|
|
td
|
1
|
|
td
|
2
|
|
td
|
751 (98.2)
|
|
td
|
14 (1.8)
|
|
tr
|
Vancomycin 2 2 765 (100) 0 (-)
|
|
td
|
Vancomycin
|
|
td
|
2
|
|
td
|
2
|
|
td
|
765 (100)
|
|
td
|
0 (-)
|
|
tr
|
Linezolid 4 4 765 (100) 0 (-)
|
|
td
|
Linezolid
|
|
td
|
4
|
|
td
|
4
|
|
td
|
765 (100)
|
|
td
|
0 (-)
|
|
tr
|
Daptomycin 1 1 765 (100) 0 (-)
|
|
td
|
Daptomycin
|
|
td
|
1
|
|
td
|
1
|
|
td
|
765 (100)
|
|
td
|
0 (-)
|
|
table-wrap-foot
|
S = susceptible; R = resistant.
* The figures correspond to the minimal inhibitory concentrations (MIC) in mg/L above, which germs are considered as resistant.
1 Breakpoints are based on high dose therapy (750 mg ×2).
|
|
footnote
|
S = susceptible; R = resistant.
|
|
p
|
S = susceptible; R = resistant.
|
|
footnote
|
* The figures correspond to the minimal inhibitory concentrations (MIC) in mg/L above, which germs are considered as resistant.
|
|
label
|
*
|
|
p
|
The figures correspond to the minimal inhibitory concentrations (MIC) in mg/L above, which germs are considered as resistant.
|
|
footnote
|
1 Breakpoints are based on high dose therapy (750 mg ×2).
|
|
label
|
1
|
|
p
|
Breakpoints are based on high dose therapy (750 mg ×2).
|
|
p
|
The boxes of antibiotics reimbursed in the previous 4 years were extracted from the Information System for Research in Primary Care (SIDIAP Database), which contains the computerized primary care medical records of approximately 80% of the Catalan population and data on dispensation of publically financed medication. Despite the availability of the daily defined dose (DDD) of the different antibacterial agents in the same 4-year period, we preferred the use of boxes as suggested by the European Centre for Disease Prevention and Control because of the difficulty of using DDDs for children, invalid for paediatric formulations [18].
|
|
sec
|
Statistical analysis
Descriptive statistics were used to analyse the individuals’ characteristics and the antibiotic-resistance patterns of the staphylococci isolated. The prevalence of the resistance rates and the number of boxes of the different antibiotics prescribed in the previous 4 years were calculated. To evaluate the association of the previous number of boxes dispensed and the staphylococcal resistance patterns, a multivariate logistic regression analysis model was constructed with resistance of isolated S. aureus strain as the dependent variable and considering age, sex and number of boxes of the different antibiotics prescribed (according to the Anatomical Therapeutic Chemical Classification System) in the prior 4 years as independent variables. Adjusted odds ratios (ORs) with their 95% confidence interval (95% CI) were estimated. Antibiotics evaluated were penicillin, oxacillin, erythromycin, azithromycin, clindamycin, ciprofloxacin, gentamicin, tetracycline, vancomycin, linezolid and daptomycin. Differences were considered to be significant with P < 0.05.
The study was approved by the Research Ethics Committee IDIAP Jordi Gol Clinic (P10/55), and each participant voluntarily signed the informed consent. In the case of minors, the father or mother or legal guardian was the one who signed it.
Anonymity guaranteed and confidentiality, as well as the protection of data.
|
|
title
|
Statistical analysis
|
|
p
|
Descriptive statistics were used to analyse the individuals’ characteristics and the antibiotic-resistance patterns of the staphylococci isolated. The prevalence of the resistance rates and the number of boxes of the different antibiotics prescribed in the previous 4 years were calculated. To evaluate the association of the previous number of boxes dispensed and the staphylococcal resistance patterns, a multivariate logistic regression analysis model was constructed with resistance of isolated S. aureus strain as the dependent variable and considering age, sex and number of boxes of the different antibiotics prescribed (according to the Anatomical Therapeutic Chemical Classification System) in the prior 4 years as independent variables. Adjusted odds ratios (ORs) with their 95% confidence interval (95% CI) were estimated. Antibiotics evaluated were penicillin, oxacillin, erythromycin, azithromycin, clindamycin, ciprofloxacin, gentamicin, tetracycline, vancomycin, linezolid and daptomycin. Differences were considered to be significant with P < 0.05.
|
|
p
|
The study was approved by the Research Ethics Committee IDIAP Jordi Gol Clinic (P10/55), and each participant voluntarily signed the informed consent. In the case of minors, the father or mother or legal guardian was the one who signed it.
|
|
p
|
Anonymity guaranteed and confidentiality, as well as the protection of data.
|
|
sec
|
Results
Demographic characteristics
A total of 4,001 nasal swabs were collected, and 3,969 were tested for identification. Finally, 776 (19.6%) were S. aureus positive, of which 765 samples (19.3%) (95% CI, 18.1–20.5) were tested for resistance. The mean age of evaluated carriers was 43.2 years (SD: 23.1). Carriage was higher in children less than 14 (136 cases; 35.6%) than in individuals aged 15–64 (459 cases; 19.4%) and people more than 65 years old (170 positive cases; 14%). Among the 765 evaluated subjects colonised with S. aureus, 370 (48.2%) were male.
Antimicrobial susceptibility
Based on the antimicrobial susceptibility reports among the 765 evaluated S. aureus isolates, 10 (1.3%; 95% CI, 0.7%–2.4%) were classified as MRSA. The highest resistance rates were observed to penicillin, followed by azithromycin, erythromycin and clindamycin, with resistance percentages of 87.1%, 11.6%, 11.2%, and 9.7%, respectively. A total of 1.3% strains were resistant to oxacillin (Table 1); 83 strains did not exhibit any resistance to the antibiotics tested (10.8%).
Association with previous antibiotic exposure
Of the 765 individuals harbouring S. aureus strains, 208 were found not to have taken antibiotics in the previous 4 years (27.1%). Of the subjects, 18.1% had taken one box, 13.0% two boxes, 11.5% three boxes of antibiotics, and 30.3% more than three boxes. The mean number of boxes of antibiotics consumed in the previous 4 years was 3.3 (SD: 5.2 and range 0–66), with penicillin being the most frequent antibiotic taken (mean of 1.5 packages; SD: 2.3), followed by ophthalmological presentations including antibacterial drugs (mean of 0.5 containers; SD: 2.9) and topical antibiotics (0.3 boxes; SD: 0.8).
Although not statistically significant, a trend was shown in which patients who had more than one antibiotic dispensed in the previous 4 years tended to harbour more staphylococcal strains resistant to any antibiotic compared to those without using antibiotics (OR, 1.07; 95% CI, 0.99–1.16; P = 0.55). Isolation of penicillin-resistant staphylococci was significantly associated with the previous number of packages of penicillin (OR, 1.18; 95% CI, 1.04–1.35) but not with other antibiotics packages. No association was observed between the number of boxes among individuals harbouring S. aureus resistant to oxacillin, clindamycin or azithromycin. However, we did observe a statistically significant association between harbouring MRSA and the previous prescription of any antibiotics (OR, 1.6; 95% CI, 1.16–2.20) (Table 2).
Table 2. Association of the previous number of antibiotics boxes dispensed and the staphylococcal resistance. A multivariate logistic regression analysis model.
Variable 95% CI OR P value
Staphylococcus aureus resistance
Age (years) 0.98–1.00 0.99 0.24
Sex (women) 0.45–1.14 0.72 0.16
Any antibioticsa 0.99–1.16 1.07 0.55
Penicillin-resistant Staphylococcus aureus
Age (years) 0.99–1.01 1.00 0.76
Sex (women) 0.46–1.01 0.70 0.11
Penicillin packages (number) 1.04–1.35 1.18 0.01
Methicillin-resistant Staphylococcus aureus (MRSA)
Age (years) 0.99–1.05 1.02 0.22
Sex (women) 0.15–2.43 0.61 0.48
Any antibioticsa 1.16–2.20 1.60 <0.01
aHave taken one or more antibiotic boxes.
|
|
title
|
Results
|
|
sec
|
Demographic characteristics
A total of 4,001 nasal swabs were collected, and 3,969 were tested for identification. Finally, 776 (19.6%) were S. aureus positive, of which 765 samples (19.3%) (95% CI, 18.1–20.5) were tested for resistance. The mean age of evaluated carriers was 43.2 years (SD: 23.1). Carriage was higher in children less than 14 (136 cases; 35.6%) than in individuals aged 15–64 (459 cases; 19.4%) and people more than 65 years old (170 positive cases; 14%). Among the 765 evaluated subjects colonised with S. aureus, 370 (48.2%) were male.
|
|
title
|
Demographic characteristics
|
|
p
|
A total of 4,001 nasal swabs were collected, and 3,969 were tested for identification. Finally, 776 (19.6%) were S. aureus positive, of which 765 samples (19.3%) (95% CI, 18.1–20.5) were tested for resistance. The mean age of evaluated carriers was 43.2 years (SD: 23.1). Carriage was higher in children less than 14 (136 cases; 35.6%) than in individuals aged 15–64 (459 cases; 19.4%) and people more than 65 years old (170 positive cases; 14%). Among the 765 evaluated subjects colonised with S. aureus, 370 (48.2%) were male.
|
|
sec
|
Antimicrobial susceptibility
Based on the antimicrobial susceptibility reports among the 765 evaluated S. aureus isolates, 10 (1.3%; 95% CI, 0.7%–2.4%) were classified as MRSA. The highest resistance rates were observed to penicillin, followed by azithromycin, erythromycin and clindamycin, with resistance percentages of 87.1%, 11.6%, 11.2%, and 9.7%, respectively. A total of 1.3% strains were resistant to oxacillin (Table 1); 83 strains did not exhibit any resistance to the antibiotics tested (10.8%).
|
|
title
|
Antimicrobial susceptibility
|
|
p
|
Based on the antimicrobial susceptibility reports among the 765 evaluated S. aureus isolates, 10 (1.3%; 95% CI, 0.7%–2.4%) were classified as MRSA. The highest resistance rates were observed to penicillin, followed by azithromycin, erythromycin and clindamycin, with resistance percentages of 87.1%, 11.6%, 11.2%, and 9.7%, respectively. A total of 1.3% strains were resistant to oxacillin (Table 1); 83 strains did not exhibit any resistance to the antibiotics tested (10.8%).
|
|
sec
|
Association with previous antibiotic exposure
Of the 765 individuals harbouring S. aureus strains, 208 were found not to have taken antibiotics in the previous 4 years (27.1%). Of the subjects, 18.1% had taken one box, 13.0% two boxes, 11.5% three boxes of antibiotics, and 30.3% more than three boxes. The mean number of boxes of antibiotics consumed in the previous 4 years was 3.3 (SD: 5.2 and range 0–66), with penicillin being the most frequent antibiotic taken (mean of 1.5 packages; SD: 2.3), followed by ophthalmological presentations including antibacterial drugs (mean of 0.5 containers; SD: 2.9) and topical antibiotics (0.3 boxes; SD: 0.8).
Although not statistically significant, a trend was shown in which patients who had more than one antibiotic dispensed in the previous 4 years tended to harbour more staphylococcal strains resistant to any antibiotic compared to those without using antibiotics (OR, 1.07; 95% CI, 0.99–1.16; P = 0.55). Isolation of penicillin-resistant staphylococci was significantly associated with the previous number of packages of penicillin (OR, 1.18; 95% CI, 1.04–1.35) but not with other antibiotics packages. No association was observed between the number of boxes among individuals harbouring S. aureus resistant to oxacillin, clindamycin or azithromycin. However, we did observe a statistically significant association between harbouring MRSA and the previous prescription of any antibiotics (OR, 1.6; 95% CI, 1.16–2.20) (Table 2).
Table 2. Association of the previous number of antibiotics boxes dispensed and the staphylococcal resistance. A multivariate logistic regression analysis model.
Variable 95% CI OR P value
Staphylococcus aureus resistance
Age (years) 0.98–1.00 0.99 0.24
Sex (women) 0.45–1.14 0.72 0.16
Any antibioticsa 0.99–1.16 1.07 0.55
Penicillin-resistant Staphylococcus aureus
Age (years) 0.99–1.01 1.00 0.76
Sex (women) 0.46–1.01 0.70 0.11
Penicillin packages (number) 1.04–1.35 1.18 0.01
Methicillin-resistant Staphylococcus aureus (MRSA)
Age (years) 0.99–1.05 1.02 0.22
Sex (women) 0.15–2.43 0.61 0.48
Any antibioticsa 1.16–2.20 1.60 <0.01
aHave taken one or more antibiotic boxes.
|
|
title
|
Association with previous antibiotic exposure
|
|
p
|
Of the 765 individuals harbouring S. aureus strains, 208 were found not to have taken antibiotics in the previous 4 years (27.1%). Of the subjects, 18.1% had taken one box, 13.0% two boxes, 11.5% three boxes of antibiotics, and 30.3% more than three boxes. The mean number of boxes of antibiotics consumed in the previous 4 years was 3.3 (SD: 5.2 and range 0–66), with penicillin being the most frequent antibiotic taken (mean of 1.5 packages; SD: 2.3), followed by ophthalmological presentations including antibacterial drugs (mean of 0.5 containers; SD: 2.9) and topical antibiotics (0.3 boxes; SD: 0.8).
|
|
p
|
Although not statistically significant, a trend was shown in which patients who had more than one antibiotic dispensed in the previous 4 years tended to harbour more staphylococcal strains resistant to any antibiotic compared to those without using antibiotics (OR, 1.07; 95% CI, 0.99–1.16; P = 0.55). Isolation of penicillin-resistant staphylococci was significantly associated with the previous number of packages of penicillin (OR, 1.18; 95% CI, 1.04–1.35) but not with other antibiotics packages. No association was observed between the number of boxes among individuals harbouring S. aureus resistant to oxacillin, clindamycin or azithromycin. However, we did observe a statistically significant association between harbouring MRSA and the previous prescription of any antibiotics (OR, 1.6; 95% CI, 1.16–2.20) (Table 2).
|
|
table-wrap
|
Table 2. Association of the previous number of antibiotics boxes dispensed and the staphylococcal resistance. A multivariate logistic regression analysis model.
Variable 95% CI OR P value
Staphylococcus aureus resistance
Age (years) 0.98–1.00 0.99 0.24
Sex (women) 0.45–1.14 0.72 0.16
Any antibioticsa 0.99–1.16 1.07 0.55
Penicillin-resistant Staphylococcus aureus
Age (years) 0.99–1.01 1.00 0.76
Sex (women) 0.46–1.01 0.70 0.11
Penicillin packages (number) 1.04–1.35 1.18 0.01
Methicillin-resistant Staphylococcus aureus (MRSA)
Age (years) 0.99–1.05 1.02 0.22
Sex (women) 0.15–2.43 0.61 0.48
Any antibioticsa 1.16–2.20 1.60 <0.01
aHave taken one or more antibiotic boxes.
|
|
label
|
Table 2.
|
|
caption
|
Association of the previous number of antibiotics boxes dispensed and the staphylococcal resistance. A multivariate logistic regression analysis model.
|
|
p
|
Association of the previous number of antibiotics boxes dispensed and the staphylococcal resistance. A multivariate logistic regression analysis model.
|
|
table
|
Variable 95% CI OR P value
Staphylococcus aureus resistance
Age (years) 0.98–1.00 0.99 0.24
Sex (women) 0.45–1.14 0.72 0.16
Any antibioticsa 0.99–1.16 1.07 0.55
Penicillin-resistant Staphylococcus aureus
Age (years) 0.99–1.01 1.00 0.76
Sex (women) 0.46–1.01 0.70 0.11
Penicillin packages (number) 1.04–1.35 1.18 0.01
Methicillin-resistant Staphylococcus aureus (MRSA)
Age (years) 0.99–1.05 1.02 0.22
Sex (women) 0.15–2.43 0.61 0.48
Any antibioticsa 1.16–2.20 1.60 <0.01
|
|
tr
|
Variable 95% CI OR P value
|
|
th
|
Variable
|
|
th
|
95% CI
|
|
th
|
OR
|
|
th
|
P value
|
|
tr
|
Staphylococcus aureus resistance
|
|
td
|
Staphylococcus aureus resistance
|
|
tr
|
Age (years) 0.98–1.00 0.99 0.24
|
|
td
|
Age (years)
|
|
td
|
0.98–1.00
|
|
td
|
0.99
|
|
td
|
0.24
|
|
tr
|
Sex (women) 0.45–1.14 0.72 0.16
|
|
td
|
Sex (women)
|
|
td
|
0.45–1.14
|
|
td
|
0.72
|
|
td
|
0.16
|
|
tr
|
Any antibioticsa 0.99–1.16 1.07 0.55
|
|
td
|
Any antibioticsa
|
|
td
|
0.99–1.16
|
|
td
|
1.07
|
|
td
|
0.55
|
|
tr
|
Penicillin-resistant Staphylococcus aureus
|
|
td
|
Penicillin-resistant Staphylococcus aureus
|
|
tr
|
Age (years) 0.99–1.01 1.00 0.76
|
|
td
|
Age (years)
|
|
td
|
0.99–1.01
|
|
td
|
1.00
|
|
td
|
0.76
|
|
tr
|
Sex (women) 0.46–1.01 0.70 0.11
|
|
td
|
Sex (women)
|
|
td
|
0.46–1.01
|
|
td
|
0.70
|
|
td
|
0.11
|
|
tr
|
Penicillin packages (number) 1.04–1.35 1.18 0.01
|
|
td
|
Penicillin packages (number)
|
|
td
|
1.04–1.35
|
|
td
|
1.18
|
|
td
|
0.01
|
|
tr
|
Methicillin-resistant Staphylococcus aureus (MRSA)
|
|
td
|
Methicillin-resistant Staphylococcus aureus (MRSA)
|
|
tr
|
Age (years) 0.99–1.05 1.02 0.22
|
|
td
|
Age (years)
|
|
td
|
0.99–1.05
|
|
td
|
1.02
|
|
td
|
0.22
|
|
tr
|
Sex (women) 0.15–2.43 0.61 0.48
|
|
td
|
Sex (women)
|
|
td
|
0.15–2.43
|
|
td
|
0.61
|
|
td
|
0.48
|
|
tr
|
Any antibioticsa 1.16–2.20 1.60 <0.01
|
|
td
|
Any antibioticsa
|
|
td
|
1.16–2.20
|
|
td
|
1.60
|
|
td
|
<0.01
|
|
table-wrap-foot
|
aHave taken one or more antibiotic boxes.
|
|
footnote
|
aHave taken one or more antibiotic boxes.
|
|
p
|
aHave taken one or more antibiotic boxes.
|
|
sec
|
Discussion
Main findings
We found an average S. aureus nasal colonization rate of 19.3%. Except for the known high resistance against penicillin, the highest recorded resistance rate was found for azithromycin, and a total of 10 MRSA strains were isolated (1.3%). Despite not observing statistically significant differences, a trend towards a relationship between the dispensation of antibiotics in the previous 4 years and the isolation of resistant microorganisms in otherwise healthy carriers was observed in this study. However, a significant association was found between previous number of packages of penicillin dispensed and penicillin-resistant strains of S. aureus.
Limitations and strengths
There are a number of limitations to this study. Although the most important limitation of this study was that the fieldwork was conducted in 2010 and 2011, we used the current resistance breakpoints published in 2017. We do not think the results would have been different if the samples had been collected more recently, since the consumption of antibiotics in our country has been stable over the last years and the main aim of the present study was to determine a possible relationship between previous antibiotic exposure and the prevalence of relevant resistant strains in the noses of healthy individuals. On the other hand, since we carried out a cross-sectional study and compared the results of the resistance patterns of the staphylococci harboured with previous antibiotic exposure, we cannot infer any causality effect between antibiotic exposure and resistance. However, we were able to compare the number of boxes of antibiotics previously dispensed and the resistance patterns of commensal staphylococci in otherwise healthy individuals.
Another limitation of the study is the fact that we considered antibiotics dispensed in the previous 4 years. Prescription of antibiotics based on reimbursement data can mimic antibiotic consumption in most European countries, but is not true in southern European countries. A landmark paper published in 2007 with the use of sales data in 2002–2005 showed a difference between prescription and consumption of up to 30% in Spain, mainly due to the over-the-counter sale of antibiotics without a medical prescription and antibiotics prescribed by the private sector [19]. A higher antibiotic consumption would very likely have been associated with greater resistance rates to antibiotics.
Another weakness is that this study monitors colonisation at a single time-point, although colonisation is known to be variable over time and it should be differentiated between persistent and intermitted carriers [20]. Only nasal swab samples were used to determine S. aureus colonization status, as the study protocol did not include swabbing of extranasal body sites. While the prevalence might be underestimated by using nasal swabs, we assume our final sample of S. aureus to be representative of all carriage. We also assume that antimicrobial resistance patterns in the commensal flora of the nose are comparable with isolates of pathogenic staphylococci. However, for purposes of empirical treatment, data on resistance of pathogenic strains would also be required.
The greatest strength of this work is that it is a study in primary care patients. We are therefore able to extrapolate these results to what we observe in primary care.
Comparison with other studies
S. aureus and MRSA carriers
We found an average S. aureus nasal colonization rate of 19.3%, which is comparable to previously described colonization rates in the general population in Europe and the United States [21,22]. The low prevalence of MRSA isolates, 10 (1.3%) was also found to be consistent with studies from Europe. We observed a positive association between previous dispensation of any antibiotics and isolation of MRSA, but caution is needed as MRSA was only isolated in 1.3% of the individuals in our study. This is consistent with previous hospital studies where antibiotic surgical prophylaxis increases nasal carriage of antibiotic-resistant staphylococci [23]. Evidence seems to indicate that the endogenous microflora of the patient may be critical since clinical studies have found that S. aureus skin colonisation increases the risk of a subsequent infection by three-fold, and up to 80% of cases of staphylococcal bacteraemia are caused by strains identical to those in the patient’s nasal cavity [24]. Furthermore, patient colonisation with S. aureus is associated with a 2–9-fold increased risk of infection [25].
Antibiotic consumption and antibiotic-resistant association
The association between antibiotic consumption and antibiotic-resistant organisms has been widely observed, mainly for other respiratory tract pathogens. For instance, Granizo et al. observed a clear association between previous use of macrolides and β-lactam with erythromycin-resistant pneumococci in Spain [26]. Also, Malotra et al. note that azithromycin and erythromycin use increases resistance of streptococci in healthy carriers [27]. We already knew of the relationship between antibiotic prescribing and bacterial resistance in primary care when antibiotics were prescribed for respiratory or urinary infection [2]. Other studies have also shown an association between previous consumption of antibiotics and S. aureus resistance. For example, in a recent randomised controlled trial, Australian children diagnosed with bronchiectasis assigned to intermittent azithromycin consumption showed higher macrolide-resistant S. aureus carriage than those assigned to placebo [28].
The commensal flora of community-dwelling persons is, therefore, becoming an important reservoir of resistant bacteria. Fighting antibiotic resistance starts with the restricted use of antibiotics, leading to less selection pressure on the bacterial flora circulating in the population, but also on the commensal flora in an individual. Knowledge of the local resistance rates of the most common organisms to antibiotics is crucial for better prescribing of antibiotics. In a recent paper from the APRES project, van Bijnen et al. observed that many guidelines for skin infections do not contain data on local resistance [29]. GPs should be informed of the resistance profiles of the most frequent organisms causing infectious disease for more prudent use of antibiotics.
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Discussion
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Main findings
We found an average S. aureus nasal colonization rate of 19.3%. Except for the known high resistance against penicillin, the highest recorded resistance rate was found for azithromycin, and a total of 10 MRSA strains were isolated (1.3%). Despite not observing statistically significant differences, a trend towards a relationship between the dispensation of antibiotics in the previous 4 years and the isolation of resistant microorganisms in otherwise healthy carriers was observed in this study. However, a significant association was found between previous number of packages of penicillin dispensed and penicillin-resistant strains of S. aureus.
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title
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Main findings
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We found an average S. aureus nasal colonization rate of 19.3%. Except for the known high resistance against penicillin, the highest recorded resistance rate was found for azithromycin, and a total of 10 MRSA strains were isolated (1.3%). Despite not observing statistically significant differences, a trend towards a relationship between the dispensation of antibiotics in the previous 4 years and the isolation of resistant microorganisms in otherwise healthy carriers was observed in this study. However, a significant association was found between previous number of packages of penicillin dispensed and penicillin-resistant strains of S. aureus.
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Limitations and strengths
There are a number of limitations to this study. Although the most important limitation of this study was that the fieldwork was conducted in 2010 and 2011, we used the current resistance breakpoints published in 2017. We do not think the results would have been different if the samples had been collected more recently, since the consumption of antibiotics in our country has been stable over the last years and the main aim of the present study was to determine a possible relationship between previous antibiotic exposure and the prevalence of relevant resistant strains in the noses of healthy individuals. On the other hand, since we carried out a cross-sectional study and compared the results of the resistance patterns of the staphylococci harboured with previous antibiotic exposure, we cannot infer any causality effect between antibiotic exposure and resistance. However, we were able to compare the number of boxes of antibiotics previously dispensed and the resistance patterns of commensal staphylococci in otherwise healthy individuals.
Another limitation of the study is the fact that we considered antibiotics dispensed in the previous 4 years. Prescription of antibiotics based on reimbursement data can mimic antibiotic consumption in most European countries, but is not true in southern European countries. A landmark paper published in 2007 with the use of sales data in 2002–2005 showed a difference between prescription and consumption of up to 30% in Spain, mainly due to the over-the-counter sale of antibiotics without a medical prescription and antibiotics prescribed by the private sector [19]. A higher antibiotic consumption would very likely have been associated with greater resistance rates to antibiotics.
Another weakness is that this study monitors colonisation at a single time-point, although colonisation is known to be variable over time and it should be differentiated between persistent and intermitted carriers [20]. Only nasal swab samples were used to determine S. aureus colonization status, as the study protocol did not include swabbing of extranasal body sites. While the prevalence might be underestimated by using nasal swabs, we assume our final sample of S. aureus to be representative of all carriage. We also assume that antimicrobial resistance patterns in the commensal flora of the nose are comparable with isolates of pathogenic staphylococci. However, for purposes of empirical treatment, data on resistance of pathogenic strains would also be required.
The greatest strength of this work is that it is a study in primary care patients. We are therefore able to extrapolate these results to what we observe in primary care.
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Limitations and strengths
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There are a number of limitations to this study. Although the most important limitation of this study was that the fieldwork was conducted in 2010 and 2011, we used the current resistance breakpoints published in 2017. We do not think the results would have been different if the samples had been collected more recently, since the consumption of antibiotics in our country has been stable over the last years and the main aim of the present study was to determine a possible relationship between previous antibiotic exposure and the prevalence of relevant resistant strains in the noses of healthy individuals. On the other hand, since we carried out a cross-sectional study and compared the results of the resistance patterns of the staphylococci harboured with previous antibiotic exposure, we cannot infer any causality effect between antibiotic exposure and resistance. However, we were able to compare the number of boxes of antibiotics previously dispensed and the resistance patterns of commensal staphylococci in otherwise healthy individuals.
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p
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Another limitation of the study is the fact that we considered antibiotics dispensed in the previous 4 years. Prescription of antibiotics based on reimbursement data can mimic antibiotic consumption in most European countries, but is not true in southern European countries. A landmark paper published in 2007 with the use of sales data in 2002–2005 showed a difference between prescription and consumption of up to 30% in Spain, mainly due to the over-the-counter sale of antibiotics without a medical prescription and antibiotics prescribed by the private sector [19]. A higher antibiotic consumption would very likely have been associated with greater resistance rates to antibiotics.
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p
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Another weakness is that this study monitors colonisation at a single time-point, although colonisation is known to be variable over time and it should be differentiated between persistent and intermitted carriers [20]. Only nasal swab samples were used to determine S. aureus colonization status, as the study protocol did not include swabbing of extranasal body sites. While the prevalence might be underestimated by using nasal swabs, we assume our final sample of S. aureus to be representative of all carriage. We also assume that antimicrobial resistance patterns in the commensal flora of the nose are comparable with isolates of pathogenic staphylococci. However, for purposes of empirical treatment, data on resistance of pathogenic strains would also be required.
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The greatest strength of this work is that it is a study in primary care patients. We are therefore able to extrapolate these results to what we observe in primary care.
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Comparison with other studies
S. aureus and MRSA carriers
We found an average S. aureus nasal colonization rate of 19.3%, which is comparable to previously described colonization rates in the general population in Europe and the United States [21,22]. The low prevalence of MRSA isolates, 10 (1.3%) was also found to be consistent with studies from Europe. We observed a positive association between previous dispensation of any antibiotics and isolation of MRSA, but caution is needed as MRSA was only isolated in 1.3% of the individuals in our study. This is consistent with previous hospital studies where antibiotic surgical prophylaxis increases nasal carriage of antibiotic-resistant staphylococci [23]. Evidence seems to indicate that the endogenous microflora of the patient may be critical since clinical studies have found that S. aureus skin colonisation increases the risk of a subsequent infection by three-fold, and up to 80% of cases of staphylococcal bacteraemia are caused by strains identical to those in the patient’s nasal cavity [24]. Furthermore, patient colonisation with S. aureus is associated with a 2–9-fold increased risk of infection [25].
Antibiotic consumption and antibiotic-resistant association
The association between antibiotic consumption and antibiotic-resistant organisms has been widely observed, mainly for other respiratory tract pathogens. For instance, Granizo et al. observed a clear association between previous use of macrolides and β-lactam with erythromycin-resistant pneumococci in Spain [26]. Also, Malotra et al. note that azithromycin and erythromycin use increases resistance of streptococci in healthy carriers [27]. We already knew of the relationship between antibiotic prescribing and bacterial resistance in primary care when antibiotics were prescribed for respiratory or urinary infection [2]. Other studies have also shown an association between previous consumption of antibiotics and S. aureus resistance. For example, in a recent randomised controlled trial, Australian children diagnosed with bronchiectasis assigned to intermittent azithromycin consumption showed higher macrolide-resistant S. aureus carriage than those assigned to placebo [28].
The commensal flora of community-dwelling persons is, therefore, becoming an important reservoir of resistant bacteria. Fighting antibiotic resistance starts with the restricted use of antibiotics, leading to less selection pressure on the bacterial flora circulating in the population, but also on the commensal flora in an individual. Knowledge of the local resistance rates of the most common organisms to antibiotics is crucial for better prescribing of antibiotics. In a recent paper from the APRES project, van Bijnen et al. observed that many guidelines for skin infections do not contain data on local resistance [29]. GPs should be informed of the resistance profiles of the most frequent organisms causing infectious disease for more prudent use of antibiotics.
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title
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Comparison with other studies
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S. aureus and MRSA carriers
We found an average S. aureus nasal colonization rate of 19.3%, which is comparable to previously described colonization rates in the general population in Europe and the United States [21,22]. The low prevalence of MRSA isolates, 10 (1.3%) was also found to be consistent with studies from Europe. We observed a positive association between previous dispensation of any antibiotics and isolation of MRSA, but caution is needed as MRSA was only isolated in 1.3% of the individuals in our study. This is consistent with previous hospital studies where antibiotic surgical prophylaxis increases nasal carriage of antibiotic-resistant staphylococci [23]. Evidence seems to indicate that the endogenous microflora of the patient may be critical since clinical studies have found that S. aureus skin colonisation increases the risk of a subsequent infection by three-fold, and up to 80% of cases of staphylococcal bacteraemia are caused by strains identical to those in the patient’s nasal cavity [24]. Furthermore, patient colonisation with S. aureus is associated with a 2–9-fold increased risk of infection [25].
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title
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S. aureus and MRSA carriers
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p
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We found an average S. aureus nasal colonization rate of 19.3%, which is comparable to previously described colonization rates in the general population in Europe and the United States [21,22]. The low prevalence of MRSA isolates, 10 (1.3%) was also found to be consistent with studies from Europe. We observed a positive association between previous dispensation of any antibiotics and isolation of MRSA, but caution is needed as MRSA was only isolated in 1.3% of the individuals in our study. This is consistent with previous hospital studies where antibiotic surgical prophylaxis increases nasal carriage of antibiotic-resistant staphylococci [23]. Evidence seems to indicate that the endogenous microflora of the patient may be critical since clinical studies have found that S. aureus skin colonisation increases the risk of a subsequent infection by three-fold, and up to 80% of cases of staphylococcal bacteraemia are caused by strains identical to those in the patient’s nasal cavity [24]. Furthermore, patient colonisation with S. aureus is associated with a 2–9-fold increased risk of infection [25].
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Antibiotic consumption and antibiotic-resistant association
The association between antibiotic consumption and antibiotic-resistant organisms has been widely observed, mainly for other respiratory tract pathogens. For instance, Granizo et al. observed a clear association between previous use of macrolides and β-lactam with erythromycin-resistant pneumococci in Spain [26]. Also, Malotra et al. note that azithromycin and erythromycin use increases resistance of streptococci in healthy carriers [27]. We already knew of the relationship between antibiotic prescribing and bacterial resistance in primary care when antibiotics were prescribed for respiratory or urinary infection [2]. Other studies have also shown an association between previous consumption of antibiotics and S. aureus resistance. For example, in a recent randomised controlled trial, Australian children diagnosed with bronchiectasis assigned to intermittent azithromycin consumption showed higher macrolide-resistant S. aureus carriage than those assigned to placebo [28].
The commensal flora of community-dwelling persons is, therefore, becoming an important reservoir of resistant bacteria. Fighting antibiotic resistance starts with the restricted use of antibiotics, leading to less selection pressure on the bacterial flora circulating in the population, but also on the commensal flora in an individual. Knowledge of the local resistance rates of the most common organisms to antibiotics is crucial for better prescribing of antibiotics. In a recent paper from the APRES project, van Bijnen et al. observed that many guidelines for skin infections do not contain data on local resistance [29]. GPs should be informed of the resistance profiles of the most frequent organisms causing infectious disease for more prudent use of antibiotics.
|
|
title
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Antibiotic consumption and antibiotic-resistant association
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p
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The association between antibiotic consumption and antibiotic-resistant organisms has been widely observed, mainly for other respiratory tract pathogens. For instance, Granizo et al. observed a clear association between previous use of macrolides and β-lactam with erythromycin-resistant pneumococci in Spain [26]. Also, Malotra et al. note that azithromycin and erythromycin use increases resistance of streptococci in healthy carriers [27]. We already knew of the relationship between antibiotic prescribing and bacterial resistance in primary care when antibiotics were prescribed for respiratory or urinary infection [2]. Other studies have also shown an association between previous consumption of antibiotics and S. aureus resistance. For example, in a recent randomised controlled trial, Australian children diagnosed with bronchiectasis assigned to intermittent azithromycin consumption showed higher macrolide-resistant S. aureus carriage than those assigned to placebo [28].
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p
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The commensal flora of community-dwelling persons is, therefore, becoming an important reservoir of resistant bacteria. Fighting antibiotic resistance starts with the restricted use of antibiotics, leading to less selection pressure on the bacterial flora circulating in the population, but also on the commensal flora in an individual. Knowledge of the local resistance rates of the most common organisms to antibiotics is crucial for better prescribing of antibiotics. In a recent paper from the APRES project, van Bijnen et al. observed that many guidelines for skin infections do not contain data on local resistance [29]. GPs should be informed of the resistance profiles of the most frequent organisms causing infectious disease for more prudent use of antibiotics.
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Conclusion
A statistically significant relationship was observed between the number of boxes of penicillin dispensed and staphylococcal resistance towards penicillin. Although a causal inference between previous exposure to antibiotics and acquisition of resistant organisms cannot be drawn in this study, we also observed a trend for a higher dispensation of boxes of antibiotics among individuals with resistant organisms compared to those with susceptible staphylococci.
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Conclusion
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A statistically significant relationship was observed between the number of boxes of penicillin dispensed and staphylococcal resistance towards penicillin. Although a causal inference between previous exposure to antibiotics and acquisition of resistant organisms cannot be drawn in this study, we also observed a trend for a higher dispensation of boxes of antibiotics among individuals with resistant organisms compared to those with susceptible staphylococci.
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Acknowledgements
We acknowledge the patients, GPs, paediatricians and the nurse who participated in this study as well as the contribution of Jesús Almeda, Rosa Morros, Rosa Juvé, Pere Simonet, Laura Prats and Edurne Zabaleta in developing the project. We would also like to thank Francois Schellevis, Mike Pringle, Ellen Stobberingh, Herman Goossens and Gilles Hebbrecht who conducted and coordinated the APRES project and Samuel Coenen for his contribution to the protocol.
List of physicians and nurse participating in this study: Guinardó Primary Care Centre, Barcelona: M. Carme Casanovas Fuste, Jordi Nadal Echevarría, Antonia Herrera Ruiz, M. Asunción Altaba Barceló, Albert Boada Valmaseda. Congrés Primary Care Centre, Barcelona: Natalia López Pareja, M. Ángeles Salvador Millán. Santa Eulàlia Sud,Primary Care Centre L’Hospitalet del Llobregat: Xavier Mas Garriga, Isabel Zamora Casas, Immaculada Cid, Francisco Javier Cañamares Barroso. Viladecans 2 Primary Care Centre, Viladecans: Pere J. Simonet Aineto, Rosa Villafáfila Ferrero, Noelia Esplugas Muñoz, Estefania Sanjuán Sanchís, M. Jesús Llobera Bauza, Concepció García Peláez. Corbera Primary Acre Centre, Corbera de Llobregat: Luis Altmann Muller, Ana M. Embid García. La Gavarra Primary Care Centre, Cornellà del Llobregat: Marta Soler Costa, Jordi Argimon Font, Raquel Martos Medina. Sant Ildefons Primary Care Centre, Cornellà del Llobregat: Manuel Álvarez Fernández, Marta Rosario D'Lacoste Farre, Eulalia Ruiz Gil, Amparo Pallarés Sancho-Tello, Josep Balaguer Martínez.
This work has been carried out under the doctorate programme of the Universitat Autònoma de Barcelona of the doctoral student Albert Boada Valmaseda
Disclosure statement
The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.
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Acknowledgements
We acknowledge the patients, GPs, paediatricians and the nurse who participated in this study as well as the contribution of Jesús Almeda, Rosa Morros, Rosa Juvé, Pere Simonet, Laura Prats and Edurne Zabaleta in developing the project. We would also like to thank Francois Schellevis, Mike Pringle, Ellen Stobberingh, Herman Goossens and Gilles Hebbrecht who conducted and coordinated the APRES project and Samuel Coenen for his contribution to the protocol.
List of physicians and nurse participating in this study: Guinardó Primary Care Centre, Barcelona: M. Carme Casanovas Fuste, Jordi Nadal Echevarría, Antonia Herrera Ruiz, M. Asunción Altaba Barceló, Albert Boada Valmaseda. Congrés Primary Care Centre, Barcelona: Natalia López Pareja, M. Ángeles Salvador Millán. Santa Eulàlia Sud,Primary Care Centre L’Hospitalet del Llobregat: Xavier Mas Garriga, Isabel Zamora Casas, Immaculada Cid, Francisco Javier Cañamares Barroso. Viladecans 2 Primary Care Centre, Viladecans: Pere J. Simonet Aineto, Rosa Villafáfila Ferrero, Noelia Esplugas Muñoz, Estefania Sanjuán Sanchís, M. Jesús Llobera Bauza, Concepció García Peláez. Corbera Primary Acre Centre, Corbera de Llobregat: Luis Altmann Muller, Ana M. Embid García. La Gavarra Primary Care Centre, Cornellà del Llobregat: Marta Soler Costa, Jordi Argimon Font, Raquel Martos Medina. Sant Ildefons Primary Care Centre, Cornellà del Llobregat: Manuel Álvarez Fernández, Marta Rosario D'Lacoste Farre, Eulalia Ruiz Gil, Amparo Pallarés Sancho-Tello, Josep Balaguer Martínez.
This work has been carried out under the doctorate programme of the Universitat Autònoma de Barcelona of the doctoral student Albert Boada Valmaseda
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Acknowledgements
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We acknowledge the patients, GPs, paediatricians and the nurse who participated in this study as well as the contribution of Jesús Almeda, Rosa Morros, Rosa Juvé, Pere Simonet, Laura Prats and Edurne Zabaleta in developing the project. We would also like to thank Francois Schellevis, Mike Pringle, Ellen Stobberingh, Herman Goossens and Gilles Hebbrecht who conducted and coordinated the APRES project and Samuel Coenen for his contribution to the protocol.
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p
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List of physicians and nurse participating in this study: Guinardó Primary Care Centre, Barcelona: M. Carme Casanovas Fuste, Jordi Nadal Echevarría, Antonia Herrera Ruiz, M. Asunción Altaba Barceló, Albert Boada Valmaseda. Congrés Primary Care Centre, Barcelona: Natalia López Pareja, M. Ángeles Salvador Millán. Santa Eulàlia Sud,Primary Care Centre L’Hospitalet del Llobregat: Xavier Mas Garriga, Isabel Zamora Casas, Immaculada Cid, Francisco Javier Cañamares Barroso. Viladecans 2 Primary Care Centre, Viladecans: Pere J. Simonet Aineto, Rosa Villafáfila Ferrero, Noelia Esplugas Muñoz, Estefania Sanjuán Sanchís, M. Jesús Llobera Bauza, Concepció García Peláez. Corbera Primary Acre Centre, Corbera de Llobregat: Luis Altmann Muller, Ana M. Embid García. La Gavarra Primary Care Centre, Cornellà del Llobregat: Marta Soler Costa, Jordi Argimon Font, Raquel Martos Medina. Sant Ildefons Primary Care Centre, Cornellà del Llobregat: Manuel Álvarez Fernández, Marta Rosario D'Lacoste Farre, Eulalia Ruiz Gil, Amparo Pallarés Sancho-Tello, Josep Balaguer Martínez.
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This work has been carried out under the doctorate programme of the Universitat Autònoma de Barcelona of the doctoral student Albert Boada Valmaseda
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Disclosure statement
The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.
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Disclosure statement
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The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.
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