PMC:7156291 / 1951-23523 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/7156291","sourcedb":"PMC","sourceid":"7156291","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7156291","text":"Introduction\nAfter multiple cases of pneumonia of unknown etiology were reported in Wuhan, China, in December of 2019, a novel coronavirus was identified in January 2020 and officially named coronavirus disease 19 (COVID-19) by the World Health Organization (WHO) on February 11. Coronavirus infections in human mostly cause mild respiratory tract infections; however, different strains of coronaviruses were also responsible for severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) [1–3].\nMany of the early cases occurred in those with exposure to the Huanan Seafood Market in Wuhan [2], but the infection has since spread, particularly as many residents left Wuhan for the extended holidays around the lunar new year prior to government shutdown of the city on January 23. The outbreak of COVID-19 has been declared a global health emergency by the WHO on January 30. As of February 17, 2020, confirmed cases of COVID-19 has been reported in 29 countries and territories; the majority of reported cases remain within China with 803 out of 71,356 cases outside of mainland China, initially in patients who have traveled to China and their close contacts [4]. However, the development of a pandemic seems unavoidable given the natural evolution of the disease, making it a worldwide health problem.\nCommon presenting symptoms for patients with confirmed infection include fever, cough, and myalgia and fatigue [1–3]. Typical laboratory findings on admission include normal leucocytes in majority of patients and decreased lymphocytes in 35% of patients [2]. According to published reports, common CT findings consist of bilateral patchy ground glass opacities with peripheral predominance [5, 6]. As the disease progresses, consolidation becomes more common [6]. Acute respiratory distress syndromes (ARDS) develop in up to 30% of patients [1]. Intrathoracic lymphadenopathy and pleural effusions are uncommon findings [2, 5]. Chest radiographic (CXR) findings include bilateral patchy opacities [3, 7] though CXRs are considered unreliable in detecting early phase of the pneumonia [8]. Negative chest CTs have been reported in 14% of patients in one study [5]. Only a small number of cases with follow-up imaging have been reported thus far [6, 9]. Therefore, we evaluated serial CT pneumonia in patients with mild COVID-19 outside of Wuhan to elucidate the evolution of CT features with correlation to clinical findings.\n\nMaterials and methods\n\nPatients\nA retrospective review of patient data and imaging studies was approved by the institutional review board. No patient consent was required for this HIPAA-compliant study.\nBetween January 22 and February 8, 2020, 88 patients with COVID-19 were identified from six hospitals in Shaanxi Province in China, which is approximately 800 km northwest of Wuhan. The inclusion criteria were as follows: (1) patients with COVID-19 confirmed by at least one positive nucleic acid test performed at the Center for Disease Control and Prevention in Shaanxi Province in China and (2) patients who underwent baseline and at least one follow-up chest CT. According to the WHO, patients are divided into six types: uncomplicated illness, mild pneumonia, severe pneumonia, acute respiratory distress syndrome, sepsis, and septic shock [10]. All the patients were treated based on a standard diagnosis and treatment criteria for COVID-19 which includes initiation of antivirals, interferon, Chinese herbal medications, supplemental oxygen as needed, and hospitalization.\n\nImage acquisition\nCT scans of the chest were acquired on 16- to 64-multidector CT scanners (Philips Brilliant 16, Philips Healthcare; GE LightSpeed 16, GE Healthcare; GE VCT LightSpeed 64, GE Healthcare; Somatom Sensation 64, Siemens Healthcare; Somatom AS, Siemens Healthcare; Somatom Spirit, Siemens Healthcare; GE Optima 680, GE Healthcare). The CT parameters were as follows: 120 kVp, current intelligent control (auto mA) of 30–300 mA, and slice thickness reconstructions of 0.6–3.0 mm. All CT examinations were performed without intravenous contrast material.\n\nData collection and evaluation\nThe medical records of patients were reviewed to determine the demographic data, medical history, exposure history, clinical symptoms, laboratory findings, and time of disease onset. The date of disease onset was defined as patients’ reported date of symptom onset. The time intervals, in days, between each CT scan and disease onset were determined and categorized into five groups (days 0–3, days 4–7, days 8–10, days 11–14, and days 15–21).\nCT images were reviewed independently by two thoracic radiologists each with 10 years of experience. Differences were resolved by discussion to reach consensus. Similar to a previously published report [6], CT findings including the presence and distribution of ground glass opacities (GGO), consolidation, linear opacities, discrete pulmonary nodules, pleural effusion, lymphadenopathy, and cavitation were evaluated. Degree of lobar involvement and overall lung total severity score were recorded. Each of the five lung lobes was assessed for degree or area of involvement and assigned a score of 0 for 0% lobe involvement, 1 for 1–25% lobe involvement, 2 for 26–50% lobe involvement, 3 for 51–75% lobe involvement, or 4 for 76–100% lobe involvement. An overall lung total severity score was reached by summing the five lobe scores (range of possible scores, 0–20) [5].\n\nStatistical analysis\nContinuous variables were represented as means and standard deviations, while categorical variables were expressed as counts and percentages. Differences of CT characteristics, lobar involvement, and overall total severity score among different time intervals were statistically compared by the chi-square test or analysis of variance (ANOVA). Linear regression analysis was further used to characterize the linear evolution trends of the variables that were significant at the above analysis.\nStatistical analysis was performed by using R software (version 3.6.0; http://www.Rproject.org). The packages in R that were used in this study are “gmodels” packages. All p values were considered statistically significant at p \u003c 0.05.\n\nResults\n\nPatient demographics\nOf 88 patients in the study cohort, 51 (58.0%) were male and 37 (42.0%) were female; mean age was 42.7 years (range, 4–82 years). Fifty-three (60.2%) patients had 2 CTs, 24 (27.2%) had 3 CTs, and 11 (12.5%) had 4 or more CTs. The mean time interval between symptom onset and baseline CT was 5.5 ± 3.5 days (range, 1–15 days). Five (5.7%) patients in the study cohort were known to have been discharged from the hospital. All of the patients had mild pneumonia based on the WHO definition [10].\nThe demographics of the study cohort are detailed in Table 1. Patients with exposure history (recent travel to Wuhan or contact with infected patient) accounted for 85.2% of study cohort. Fever (84.1%) and cough (56.8%) were the most common presenting symptoms. Low lymphocyte and white cell counts were observed in 26.4% and 25.0% of patients, while high C-reactive protein was observed in 55.0% of patients.\nTable 1 Patient demographics and laboratory test results\nCharacteristic Patient with NCP (n = 88)\nAge (years)a 42.7 ± 14.5\nAge group (years)\n  \u003c 15 2 (2.3)\n  15–44 48 (54.5)\n  45–64 28 (31.8)\n  ≥ 65 10 (11.4)\nMale sex 51 (58.0)\nExposure history\n  Recent travel to Wuhan 45 (51.1)\n  Contact with infected patient 30 (34.1)\n  Unknown exposure 13 (14.8)\nInitial symptoms\n  Fever 74 (84.1)\n  Cough 50 (56.8)\n  Expectoration 19 (21.6)\n  Fatigue 15 (17.0)\n  Chest distress and/or shortness of breath 12 (13.6)\n  Pharyngalgia 10 (11.4)\n  Muscle soreness 7 (8.0)\n  Headache 5 (5.7)\n  Nausea and/or vomiting 0 (0)\n  Diarrhea 0 (0)\n  No obvious symptoms 3 (3.4)\nLaboratory testing at initial hospital visitb\n  White blood cell count (–, ↑, ↓) 62 (70.5), 4 (4.5), 22 (25.0)\n  Lymphocyte count (–, ↑, ↓) 62 (71.3), 2 (2.3), 23 (26.4)\n  Percent lymphocytes (–, ↑, ↓) 55 (62.5), 7 (8.0), 26 (29.5)\n  Percent neutrophilic granulocyte (–, ↑, ↓) 59 (67.1), 17 (19.3), 12 (13.6)\n  Percent monocytes (–, ↑, ↓) 59 (67.1), 26 (29.5), 3 (3.4)\n  Hemoglobin (–, ↑, ↓) 68 (77.3), 8 (9.1), 12 (13.6)\n  ALT (–, ↑, ↓) 70 (79.5), 16 (18.2), 2 (2.3)\n  AST (–, ↑, ↓) 73 (83.0), 15 (17.0), 0 (0)\n  Creatine kinase (–, ↑, ↓) 73 (84.9), 4 (4.6), 9 (10.5)\n  C-reactive protein (–, ↑, ↓) 36 (45.0), 44 (55.0), 0 (0)\nUnless otherwise indicated, data are reported as the number of patients, with percentages in parentheses\nALT alanine aminotransferase, AST aspartate aminotransferase\naData are reported as the mean ± standard derivation\nbThe signs –, ↑, and ↓ represent within, above, and below normal ranges of laboratory results, respectively. Normal ranges of white blood cell count, lymphocyte count, percent lymphocytes, percent neutrophilic granulocyte, percent monocytes, ALT, AST, creatine kinase, hemoglobin, and C-reactive protein were 3.5–9.5 × 109/L, 1.10–3.20 × 109/L, 20–50%, 3.0–10.0%, 40–75%, 115–150 g/L, 7–40 U/L, 13–35 U/L, 40–200 U/L, and 0–10 mg/L, respectively\n\nEvolution of CT findings in patients with COVID-19\n\nEvolution of CT characteristics of pulmonary lesions\nFigure 1 depicts the evolution of CT features of pulmonary lesions in different time intervals from disease onset. Significant differences were found among the time intervals in the proportion of pulmonary lesions that are (1) pure GGO (χ2 = 37.97, p = 0.01), (2) mixed attenuation (GGO and consolidation) (χ2 = 12.80, p \u003c 0.01), (3) mixed attenuation with reticular/linear opacities (χ2 = 20.57, p \u003c 0.01), and (4) consolidation with reticular/linear opacities (χ2 = 32.49, p \u003c 0.01) and pure consolidation (χ2 = 10.37, p = 0.03). A significant linear decrease in the proportions of pure GGO lesions (y = 0.55–0.08x, p \u003c 0.01) and mixed attenuation lesions (y = 0.31–0.03x, p = 0.01) and a significant linear increase in the proportions of lesion with reticular/linear opacities (mixed attenuation + linear opacities (y = 0.08 + 0.04x, p \u003c 0.01) and consolidation + linear opacities (y = − 0.03 + 0.04x, p \u003c 0.01)) were observed over time.\nFig. 1 Evolution of CT characteristics of pulmonary lesions in patients with COVID-19. The time intervals after disease onset (days) were divided into 5 groups, i.e., days 0–3 (lesion number = 114), days 4–7 (lesion number = 241), days 8–10 (lesion number = 189), days 11–14 (lesion number = 178), and days 15–21 (lesion number = 95). GGO, ground glass opacities; mixed attenuation = ground glass opacities + consolidation\n\nEvolution of lobar distribution in patients with COVID-19\nNo statistically significant difference was found in the lobar distribution of pulmonary findings over different time intervals from symptom onset, but some trends were observed. For example, the proportion of patients with fewer than 3 lobes affected decreased in the first 10 days (Fig. 2a). The proportion of patients with three or more affected lobes was higher in all of the time intervals analyzed. Bilateral involvement was more prevalent than unilateral involvement with a trend toward an increase in the proportion of patients with bilateral CT abnormalities in the first 2 weeks after disease onset (Fig. 2b). Lower lobes have higher rates of involvement than the others, but the differences are not statistically significant (Fig. 2c).\nFig. 2 Evolution of lobar distribution of the (a) number of lobe affected, (b) unilateral and bilateral lobes affected, and (c) lung lobe affected in patients with COVID-19 within 21 days after disease onset. The time after disease onset (day) is categorized as 5 groups, i.e., days 0–3 (patient number = 37), days 4–7 (patient number = 69), days 8–10 (patient number = 53), days 11–14 (patient number = 49), and days 15–21 (patient number = 25)\n\nEvolution of CT findings in patients with COVID-19\nThe initial CTs of 4 out of 88 (4.5%) patients were negative. Two of these four patients had their baseline CT during days 1–3, one during days 4–7, and one during days 8–10 of disease. Subsequently, CT images of one patient remained negative even during days 8–10, and other patients developed CT abnormalities.\nThere were significant differences between the time interval groups after disease onset in proportions of patients with both GGO and consolidation (χ2 = 22.2, p \u003c 0.01) and the combination of GGO, consolidation, and linear opacities (χ2 = 21.5, p \u003c 0.01) (Table 2). A proportion of patients with GGO and consolidation presented a decreasing trend during the 21 days after disease onset (y = 0.48–0.09x, p \u003c 0.01), while a proportion of patient with all three findings including ground glass opacities, consolidation, and linear opacities presented an increasing trend (y = 0.12–0.11x, p \u003c 0.01). No significant difference was found in the proportions of patients with other CT findings or total lung severity score.\nTable 2 Evolution of CT findings and total lung severity scores of patients with COVID-19 within 21 days after disease onset\nCharacteristic Time after disease onset χ2 p value\nDays 0–3 (n = 37) Days 4–7 (n = 69) Days 8–10 (n = 53) Days 11–14 (n = 49) Days 15–21 (n = 25)\nPulmonary opacities\n  GGO only 8 (21.6) 13 (18.8) 7 (13.2) 4 (8.2) 1 (4.0) 6.6 0.16\n  GGO and consolidation 12 (32.4) 26 (37.7) 8 (15.1) 5 (10.1) 1 (4.0) 22.2 \u003c 0.01\n  GGO and linear opacities 2 (5.4) 2 (2.9) 4 (7.5) 2 (4.1) 2 (8.0) 1.87 0.76\n  Consolidation only 1 (2.8) 6 (8.7) 3 (5.7) 4 (8.2) 1 (4.0) 1.98 0.74\n  Consolidation and linear opacities 0 (0) 2 (2.9) 4 (7.5) 4 (8.2) 3 (12.0) 6.0 0.19\n  GGO, consolidation, and linear opacities 12 (32.4) 19 (27.5) 25 (47.2) 30 (61.2) 17 (68.0) 21.5 \u003c 0.01\n  Negative CT 2 (5.4) 1 (1.5) 2 (3.8) 0 (0.0) 0 (0.0) 4.3 0.36\nOther findings\n  Discrete pulmonary nodules 4 (10.8) 4 (5.8) 3 (5.7) 1 (2.0) 0 (0) 4.8 0.36\n  Pleural effusion 0 (0) 0 (0) 0 (0) 0 (0) 0 (0) – –\n  Lymphadenopathy 0 (0) 0 (0) 0 (0) 0 (0) 0 (0) – –\n  Cavitation 3 (8.1) 3 (4.3) 1 (1.9) 2 (4.1) 1 (4.0) 2.1 0.72\nTotal lung severity score\n  Mean ± SD 3.9 ± 2.7 4.8 ± 2.9 4.9 ± 2.8 5.3 ± 3.3 5.2 ± 2.8 – 0.29\n  Median (range) 4 (0–10) 5 (0–12) 5 (0–11) 5 (1–13) 5 (1–11) – –\nNumbers in parentheses are percentages\nn number of patients, GGO ground glass opacities\nNone of the patients had pleural effusions or intrathoracic lymphadenopathy during the follow-up period. Some of the patients had cavitation on CT, but these are thought to represent pre-existing conditions as none of the patients in the study cohort developed cavitation on follow-up CT.\nFigures 3 and 4 show the evolution of CT findings of two patients with COVID-19 pneumonia.\nFig. 3 A 54-year-old woman with exposure to a COVID-infected patient presented with fever, cough, and low back pain for 2 days and remains hospitalized. a–c CT shows left lower lobe GGO on day 2. The total severity score is 1. d–f CT on day 7 shows a significant increase in GGO in both lungs. The severity score of the left lower lobe is 2. The total severity score is 5. g–i CT on day 9 shows bilateral GGO and subpleural consolidation. The severity score of the left lower lobe is 3. The total severity score is 9. j–l CT on day 11 shows diffuse GGO and linear opacities (thick arrow). The severity score of the left lower lobe is 4. The total severity score is 12\nFig. 4 A 24-year-old man with exposure to a COVID-infected patient presented with fever and cough for 1 day and remains hospitalized currently. a–e CT scan shows GGO in the subpleural left lower lobe on day 1 (thick arrow). The overall total severity score is 1. f–j CT on day 4 shows enlarging GGO in left lower lobes (thick arrow). The overall total severity score is 3. k–o CT on day 8 shows increased GGO in bilateral lower lobes. The total severity score was 5. p–t CT obtained on day 11 shows bilateral ground glass opacities and linear opacities (thick arrow). The overall total severity score was 7. u–y CT obtained on day 15 shows improvement of bilateral lower lobe GGO and atoll sign (thick arrow). The overall total severity score is 5\n\nDiscussion\nPatient demographics in terms of age and gender distributions are similar to other published studies [5, 6]. Clinical symptoms and laboratory findings also match those of other initial reports with smaller cohorts [5, 6] with fever and cough in the majority of the patients. The majority patients had normal white blood cell count and lymphocyte counts at presentation though 26.4% of lymphocyte counts below normal range. Of patients in this study, 85.2% had traveled from Wuhan or known contacts with infected individuals. Notably, 14.8% of patients in this study based in Shaanxi did not have known or identifiable exposures. The source of infection may become increasingly difficult to identify if the disease becomes more widespread.\nDepending on the severity of clinical symptoms, patients do not always present within the first few days of symptom onset. In our study cohort, the interval between symptom onset and first chest CT ranged from 1 to 15 days. Hence, familiarity with evolution of CT findings is useful to radiologists. Ground glass opacities are the most common CT findings within 0–3 days of symptom onsets as described in other published reports focused on initial presentations [11]. Over time, GGO remains a common finding and consolidation occurs with higher frequencies than in the early phase of disease, which means the disease is progressing rapidly. It is different from what happened with SARS [12]. Frequency of consolidation decreases 2 weeks after symptom onset. Reticulations and linear opacities, signs of interstitial involvement, and fibrosis become increasing prevalent later in the disease course. The total severity score shows a slight decrease in the third week. Cavitations were present in a small percentage of patients and likely present pre-existing conditions as none of the patients in the study cohort were observed to develop cavitation during the course of COVID-19. Lymphadenopathy and pleural effusions were absent on all the CTs analyzed, even on scans obtained 15–21 days after symptom onset. These findings are also similar to other reports [5]. Also similar to other published studies [13], we have observed a lower lobe predominance of pulmonary involvement. Bilateral involvement is found in the majority of patients though a significant number of patients do have unilateral involvement. Awareness of a significant minority of patients with only unilateral findings on CT at various time intervals is important so that radiologists do not exclude the possibility of COVID-19 simply because the findings were unilateral. Finally, in some patients, the CT findings can be minimal or even negative.\nIn areas outside of China, influenza remains significantly more prevalent at the current time. Common imaging findings of influenza virus–associated pneumonia include GGO, consolidation, and a combination of both. Pleural effusion, if present, is usually minimal, and lymphadenopathy is rare [14, 15]. Organizing pneumonia has also been reported [16]. There are recent publications that have suggested that CT findings of COVID-19 are similar to the organizing pneumonia (OP) pattern observed from post viral or atypical infections and other etiologies [17]. Despite a study discussing the nonspecific nature of COVID-19 pneumonia [18], a recent publication suggests that radiologists are able to differentiate COVID-19 from other viral pneumonia on CT [5, 6, 18, 19]. Laboratory testing for the novel coronavirus is time-consuming, and there are reports of shortage of test kits in some locations [20]. As we learned increasingly, initial laboratory tests for coronavirus can be falsely negative [20]. Therefore, the presence of suspicious CT findings in patients, correlated with a number of days after symptom onset, should prompt repeat laboratory testing and consideration of respiratory isolation in patients with appropriate travel and exposure history.\nLimitations of our study include the retrospective nature of the study where all patients in the cohort presented to healthcare setting for evaluation. It is possible that there are infected individuals within the population with subclinical or mild clinical symptoms who did not present for care and the findings reported here are skewed toward those who were more symptomatic. Additionally, many of the more critically ill patients were transferred to other hospitals which were not included in this study. Our data were collected from six sites with variable CT scanning parameters though the data heterogeneity reflects the different practice parameters and settings. The patients did not have CT studies at regular intervals as often is the case in the clinical setting where the timing of imaging is dependent on the clinical course and different for each patient. Finally, even though the study describes evolution of CT findings, the chronic alterations in the pulmonary parenchyma remain to be determined. A longer follow-up would be needed.\nIn conclusion, CT findings of patients with mild COVID-19 outside of Wuhan include predominance of GGO in the early phase with an increase in the frequency of consolidation and linear opacities over the 3 weeks post onset of symptoms. A small percentage of patients can have no or minimal CT abnormalities. 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