PMC:7242185 / 2210-4332 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/7242185","sourcedb":"PMC","sourceid":"7242185","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7242185","text":"Methods\nThis is a multicentre, observational, retrospective study involving 3 high-volume centres distributed in northern and central Italy. Epidemiologic data of consecutive patients with ACS admitted in March 2019, and March 2020 were anonymously extracted and entered into a dedicated database. Data collections included procedural results and in-hospital outcomes.\nThe “case period” was set in the month of March because it was when the severe social containing measures were adopted. The rate of ACS-related hospitalization during March 2020 was compared with the rate in the control period (March 2019). Subanalyses comprised the rate of ACS type (ST-elevation myocardial infarction [STEMI], non–ST-elevation myocardial infarction [NSTEMI] and STEMI with a time-to-reperfusion delay \u003e24 hours), the delay between admission to percutaneous coronary intervention (PCI) and symptoms to PCI. Risk of NSTEMI was stratified using the Thrombolysis in Myocardial Infarction (TIMI) score. Time to reperfusion, basal admission, and peak high-sensitivity troponin level, as well as left-ventricular ejection fraction (LVEF) at discharge and in hospital mortality were also collected and compared. Patients signed informed consents for data collection, and the study was conducted according to the Declaration of Helsinki.\n\nStatistical analysis\nContinuous variables were expressed as mean + standard deviation, whereas categorical variables were presented as numbers and percentages. Distributions of continuous variables were examined for skewness and were logarithmically transformed as appropriate. Continuous variables with normal distribution were compared using the unpaired Student’s t-test. Nonparametric continuous variables were compared using the U Mann-Whitney test. Categorical variables were compared using the χ2 test. Incidence rate (IR) for ACS related hospitalization was calculated by dividing the number of cumulative events by the number of days for both time periods. A P value \u003c 0.05 was considered statistically significant. Statistical analysis was performed using SPSS 26 (IBM Corporation, Armonk, 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