Clinical characteristics and predictors of death among hospitalized patients infected with SARS‑CoV‑2 in Sicily, Italy: A retrospective observational study

• DOI: 10.3892/br.2022.1517
• Publication Date: 2022-03-01T12:59:45Z
• Authors: Federica Cosentino; Vittoria Moscatt; Andrea Marino; Alessio Pampaloni; Daniele Scuderi; Manuela Ceccarelli; Francesco Benanti; Maria Gussio; Licia Larocca; Vincenzo Boscia; Giovanni Vinci; Aldo Zagami; Anna Onorante; Gaetano Lupo; Salvatore Torrisi; Silvana Grasso; Roberto Bruno; Carmelo Iacobello; Salvatore Bonfante; Luigi Guarneri; Antonio Cascio; Antonella Franco; Rossella Del Vecchio; Maria Di Rosolini; Alfredo Pulvirenti; Damiano Larnè; Giuseppe Nunnari; Benedetto Celesia; Bruno Cacopardo
• Keywords: Lymphocytopenia; Pandemic; Neutrophilia

Since late December 2019, severe acute respiratory syndrome coronavirus 2 has spread across the world, which resulted in World Health Organization declaring a global pandemic. Coronavirus disease 2019 (COVID-19) presents highly variable spectrum with regard to severity of illness. Most infected individuals exhibit mild moderate illness (81%); however, 14% have serious and 5% develop distress (ARDS), requiring intensive care support. The mortality rate COVID-19 continues rise world. Data regarding predictors patients COVID 19 are still scarce but being actively investigated. present multicenter retrospective observational study provides complete description demographic clinical characteristics, comorbidities laboratory abnormalities population 421 hospitalized recruited eight infectious units Southern Italy (Sicily) aim identifying baseline characteristics predisposing critical or death. In this study, older age, pre-existing certain changes markers (such as neutrophilia, lymphocytopenia increased C-reactive protein levels) at time admission were associated higher risk mortality. Male sex, on other hand, was not significantly Symptoms such fatigue, number co-pathologies use continuous positive airway pressure most significant contributors estimation prognosis. Further research is required better characterize epidemiological features COVID-19, understand related death new effective therapeutic strategies.