Automated quantitative thin slice volumetric low dose #CT analysis predicts disease severity in #COVID-19 patients

This study aimed to identify predictive (bio-)markers for COVID-19 severity derived from automated quantitative thin slice low dose volumetric CT analysis, clinical chemistry and lung function testing. MethodsSeventy-four COVID-19 patients admitted between March 16th and June 3rd 2020 to the Asklepios Lung Clinic Munich-Gauting, Germany, were included in the study. Patients were categorized in a non-severe group including patients hospitalized on general wards only and … Continue reading Automated quantitative thin slice volumetric low dose #CT analysis predicts disease severity in #COVID-19 patients

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Delayed #antibiotic prescribing for #respiratory tract infections: individual patient data meta-analysis

To assess the overall effect of delayed antibiotic prescribing on average symptom severity for patients with respiratory tract infections in the community, and to identify any factors modifying this effect. Design Systematic review and individual patient data meta-analysis. Data sources Cochrane Central Register of Controlled Trials, Ovid Medline, Ovid Embase, EBSCO CINAHL Plus, and Web of Science. Eligibility criteria for study selection Randomised controlled trials … Continue reading Delayed #antibiotic prescribing for #respiratory tract infections: individual patient data meta-analysis

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