Details

Autor(en) / Beteiligte

• Rodríguez-Molinero, Alejandro
• Gálvez-Barrón, César
• Miñarro, Antonio
• Macho, Oscar
• López, Gabriela F
• Robles, Maria Teresa
• Dapena, María Dolores
• Martínez, Sergi
• Milà Ràfols, Núria
• Monaco, Ernesto E
• Hidalgo García, Antonio
• Tan, Wenbin

Titel

Association between COVID-19 prognosis and disease presentation, comorbidities and chronic treatment of hospitalized patients

Ist Teil von

• PloS one, 2020-10, Vol.15 (10), p.e0239571-e0239571

Ort / Verlag

United States: Public Library of Science

Erscheinungsjahr

2020

Quelle

Electronic Journals Library

Beschreibungen/Notizen

• The rapid pandemic expansion of the disease caused by the new SARS-CoV-2 virus has compromised health systems worldwide. Knowledge of prognostic factors in affected patients can help optimize care. The objective of this study was to analyze the relationship between the prognosis of COVID-19 and the form of presentation of the disease, the previous pathologies of patients and their chronic treatments. This was an observational study on a cohort of 418 patients admitted to three regional hospitals in Catalonia (Spain). As primary outcomes, severe disease (need for oxygen therapy via nonrebreather mask or mechanical ventilation) and death were studied. Multivariate binary logistic regression models were performed to study the association between the different factors and the results. Advanced age, male sex and obesity were independent markers of poor prognosis. The most frequent presenting symptom was fever, while dyspnea was associated with severe disease and the presence of cough with greater survival. Low oxygen saturation in the emergency room, elevated CRP in the emergency room and initial radiological involvement were all related to worse prognosis. The presence of eosinophilia (% of eosinophils) was an independent marker of less severe disease. This study identified the most robust markers of poor prognosis for COVID-19. These results can help to correctly stratify patients at the beginning of hospitalization based on the risk of developing severe disease.