Correlation between hospitalized patients' demographics, symptoms, comorbidities, and COVID-19 pandemic in Bahia, Brazil.

Autor: Márcio C F Macedo, Isabelle M Pinheiro, Caio J L Carvalho, Hilda C J R Fraga, Isaac P C Araujo, Simone S Montes, Otávio A C Araujo, Lucas A Alves, Hugo Saba, Márcio L V Araújo, Ivonete T L Queiroz, Romilson L Sampaio, Márcia S P L Souza, Ana Claudia F N da Silva, Antonio C S Souza
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: PLoS ONE, Vol 15, Iss 12, p e0243966 (2020)
Druh dokumentu: article
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0243966
Popis: In this paper, we provide a retrospective cohort study with patients that have been hospitalized for general or intensive care unit admission due to COVID-19, between March 3 and July 29, 2020, in the state of Bahia, Brazil. We aim to correlate those patients' demographics, symptoms and comorbidities, with the risk of mortality from COVID-19, length of hospital stay, and time from diagnosis to definitive outcome. On the basis of a dataset provided by the Health Secretary of the State of Bahia, we selected 3,896 hospitalized patients from a total of 154,868 COVID-19 patients that included non-hospitalized patients and patients with invalid registration in the dataset. Then, we statistically analyzed whether there was a significant correlation between the patient record data and the COVID-19 pandemic, and our main findings reinforced by the use of a multivariable logistic regression were that older age (Odds Ratio [OR] = 1.03, 95% Confidence Interval [CI] = 1.03-1.04, p-value (p)
Databáze: Directory of Open Access Journals
Nepřihlášeným uživatelům se plný text nezobrazuje