Details

Autor(en) / Beteiligte

• Ioannou, Petros
• Kofteridis, Diamantis P
• Alexakis, Konstantinos
• Koutserimpas, Christos
• Papakitsou, Ioanna
• Maraki, Sofia
• Samonis, George

Titel

Candida Species Isolation from Hospitalized Patients with COVID-19-A Retrospective Study

Ist Teil von

• Diagnostics (Basel), 2022-12, Vol.12 (12), p.3065

Ort / Verlag

Switzerland: MDPI AG

Erscheinungsjahr

2022

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• Coronavirus disease 2019 (COVID-19), a disease characterized by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has so far led to hundreds of millions of infections and millions of deaths. Fungal infections are known to complicate COVID-19 patients and are associated with significant morbidity and mortality. The aim of this study was to assess the incidence of positive cultures for spp. among patients hospitalized with COVID-19, describe their characteristics and identify factors associated with overall mortality in this patient population. Hospitalized COVID-19 patients with spp. isolation were retrospectively assessed and their clinical, laboratory and microbiological characteristics were assessed and evaluated. In total, 69 patients with COVID-19 had a positive culture for spp., representing a rate of 4.5% among all hospitalized COVID-19 patients. Their median age was 78 years (IQR 67-85 years) and 44.9% were male. Hospitalized patients with COVID-19 and spp. isolation who died were older, were more likely to have a diagnosis of dementia, and had higher Charlson comorbidity index, higher score and higher 4C score. score was identified with a multivariate logistic regression analysis model to be independently associated with mortality. The most commonly identified species was , followed by and and the most common source was the urine, even though in most cases the positive culture was not associated with a true infection. Thus, score may be used in COVID-19 patients with isolation of spp. from different body specimens for mortality risk stratification.