WP2 Maastricht

Adult patients with suspected or confirmed COVID-19 who contacted their GP or out-of-hours service for a face-to-face consultation were included. Data on patient characteristics and physical examination were recorded retrospectively in a case report form (CRF ). A logistic regression model was developed to predict hospital admission with COVID-19 within 14 days.

Candidate predictors included demographic data, comorbidities, and symptoms. Model performance was evaluated using the C-statistic, calibration plots, and net benefit. Regional internal-external validation was used, in addition to a temporal external validation. 4806 patients were included in the development cohort and dataset.

Their median age was 56 (IQR 40 to 70), 56.4% were female. The median duration of complaints at the first visit was 7 days (IQR 2.5 to 14 days). The majority of patients presented with dyspnoea (64.4%) or a cough (63.8%).

Being male, auscultation abnormalities, confusion, cough, haemoptysis, stomach complaints, headache, chronic kidney disease, lower oxygen saturation and higher body temperature increase the probability of hospital admission.