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Background: A few months after the COVID-19 pandemic onset, knowledge of SARS-CoV-2 infection and outcomes and treatments blew up. This paper aimed to evaluate the features of a Tuscany COVID-19 hospitalized cohort and to identify risk factors for COVID-19 severity. Methods: This retrospective observational COVID-19 cohort study (1 March 2020–1 March 2021) was conducted on patients ≥ 18 years old, admitted to Tuscany Hospital, and subjected to follow-up within 12 months after discharge. Patients were enrolled at Pisana, Senese and Careggi University Hospitals, and South East, North West, and Center Local Hospitals. Results: 2888 patients (M = 58.5%, mean age = 66.2 years) were enrolled, of whom 14.3% (N = 413) were admitted to an intensive care unit. Smokers were 25%, and overweight and obese 65%. The most used drugs were corticosteroids, antacids, antibiotics, and antithrombotics, all antiviral drugs, with slight differences between 2020 and 2021. A strong association was found between outcomes of evolution towards critical COVID-19 (non-invasive mechanical ventilation (NIV) and/or admission to intensive care) and smoking (RR = 4.91), ex-smoking (RR = 3.48), overweight (RR = 1.30), obese subjects (RR = 1.62), comorbidities (aRR = 1.38). The alteration of liver enzymes (aspartate aminotransferase, alanine aminotransferase, or gamma-glutamyl transpeptidase) was associated with NIV (aOR = 2.28). Conclusions: Our cohort, characterized by patients with a mean age of 66.2 years, showed 65% of patients were overweight and obese. Smoking/ex-smoking, overweight/obesity, and other comorbidities were associated with COVID-19 adverse outcomes. The findings also demonstrated that alterations in liver enzymes were associated with worse outcomes. [ABSTRACT FROM AUTHOR]

This study was aimed to investigate the effects of computerized decision support system in improving the prescription of drugs for cardiovascular prevention. A total of 197 Italian general practitioners were randomly allocated to receive either the alerting computerized decision support system integrated into standard software (intervention arm) or the standard software alone (control arm). Data on 21230 patients with diabetes, 3956 with acute myocardial infarction, and 2158 with stroke were analysed. The proportion of patients prescribed with cardiovascular drugs and days of drug–drug interaction exposure were evaluated. Computerized decision support system significantly increased the proportion of patients with diabetes prescribed with antiplatelet drugs (intervention: +2.7% vs. control: +0.15%; p < 0.001) or lipidlowering drugs (+4.2% vs. +2.8%; p = 0.001). A statistically significant decrease in days of potential interactions has been observed only among patients with stroke (−1.2 vs. −0.5 days/person-year; p = 0.001). In conclusion, computerized decision support system significantly increased the use of recommended cardiovascular drugs in diabetic patients, but it did not influence the exposure to potential interactions [ABSTRACT FROM AUTHOR]