Predictive factors of mortality in patients with COVID-19 in Guinea: analysis of the first 140 cases admitted to intensive care unit

Autor: M’mah Lamine Camara, Abdourhamane Dine Traoré, Jean-Marc Roméo Abékan, Abdoulaye Touré, Boubacar Atigou Dramé, Luc Kouessi Sossa, Almamy Bangoura, Sow Mamadou Saliou, Mariame Mohamed Camara, Axel Irvin Edemessi, Djiki Camara, Joseph Donamou, Amadou Yalla Camara
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Pan African Medical Journal; Vol. 38 No. 1 (2021)
The Pan African Medical Journal
ISSN: 1937-8688
Popis: Introduction:the objective was to identify the predictive factors contributing to COVID-related deaths in Intensive Care Unit. Methods:this was a 4-month (12thMarch to 12thJuly 2020) cross sectional study carried out in the intensive care unit of the COVID treatment center of Donka National Hospital, the only hospital with a COVID intensive care unit in Guinea. Results:during our period of study 140 patients were hospitalized in the COVID intensive care unit and 35 patients died (25%). In univariate analysis, the occurrence of death was associated with: confusional syndrome (p 60 years (p=0.047). In multivariate analysis, the factors predictive of mortality were: Acute Respiratory Distress Syndrome (ARDS) (OR= 6.33, 95% CI [1.66-29]; p=0.007), a Brescia score ≥ 2 (OR =5.8, 95% CI [1.7-19.2]; p=0.004) and admission delay (OR =5.6, 95% CI [1.8-17.5]; p=0.003). Conclusion:our study shows that the acute respiratory distress syndrome, then the Brescia score ≥ 2, and finally the time to admission to intensive care were all associated with an increased risk of death for patients. These results are different from those reported in Asia, Europe and North America.
Databáze: OpenAIRE