Clinical characteristics and risk factors associated with COVID-19 mortality in a non-Intensive Care Unit

The Coronavirus disease 2019 caused by a new Coronavirus (SARS-CoV-2) throughout the pandemic period has been characterised by a wide spectrum of clinical manifestations, courses, and outcomes. In particular, most patients with severe or critical symptoms re-quired hospitalization. The demographic and clinical characteristics of patients upon admission to the hospital, as well as pre-existing medical conditions, seem to have affected the clinical out-come. Predictive factors of inauspicious outcome in non-Intensive Care Unit hospitalized patients were investigated.

A retrospective, single-centre, observational study of 239 patients with confirmed COVID-19 disease admitted during the first waves of the pandemic to the Infectious Disease Operative Unit of a hospital in Southern Italy was conducted. Demographic characteristics, under-lying diseases, and clinical, laboratory, and radiological findings were collected from the patient's medical records. Information about in-hospital medications, days of admission, and out-come were also considered. Inferential statistical analysis was performed to evaluate the association between patients' characteristics upon hospital admission and during in-hospital length of stay and death.

Mean age was 67.8 ± 15.8 years; 137/239 (57.3%) patients were males, and 176 (73.6%) had at least one comorbidity. More than half of patients (55.3%) suffered from hypertension. The length of stay in hospital was 16.5 ± 9.9 days and mortality rate of 12.55%. In multivariable logistic regression analysis, predictors of mortality of COVID-19 patients included age (OR, 1.09; CI, 1.04-1.15), Chronic Kidney Disease (OR, 4.04; CI, 1.38-11.85), and need of High Flow Oxygen therapy (OR, 18.23; CI, 5.06-65.64).

Patients who died in the hospital had shorted length of stay than that of the surviving patients. Older age, pre-existent chronic renal disease and need of supplemental oxygen represented independent predictors of mortality in patients hospitalized in non-Intensive Care Unit with COVID-19. The determination of these factors allows retrospectively a greater understanding of the disease also in comparison with the successive epidemic waves.