ABSTRACT
Context and objective In intensive care units (ICU), clinicians have little information to identify COVID-19 patients at high risk of poor prognosis requiring intubation. Considering the clinical and biological parameters of the patients during their admission to ICU, we determined the incidence of a pejorative evolution requiring intubation, and secondarily we searched among the starting parameters, which were predictors of the intubation during follow-up Methods We conducted a monocentric retrospective cohort study of adult patients admitted for moderate, severe or critical COVID-19/WHO clinical classification, during the first two waves of the pandemic in Kinshasa/DR Congo. Our primary end point was the incidence of intubation. Potential predictors of intubation were determined by the Cox regression analysis. The relative risk of death was assessed according to treatment with mechanical ventilation. (intubation) Results We included 219 patients (average age of 56.8 ±15.2 years; 75 % men), respectively 37 % in the 1st and 63 % in the 2nd wave of the pandemic.Cumulative incidence of intubation was 24% (1stwave: 26% vs 2nd wave: 24%). One-third of intubations were performed on the first 3 days versus two-thirds beyond the third day. The Cox's regression model showed that among data from the 1st day of ICU admission, those predicting intubation were: age (Hazard ratio: 1.025, CI 95%: 1.005-1.044), obesity (HR: 4.808; CI 95%: 2.660-8.696), corticosteroid therapy (HR: 0.313, CI 95%: 0.102-0.965), ROX index < 4.88 (HR: 2.024, CI 95 %: 1.003-4.080) and black race (HR: 0.502, CI 95%: 0.272-0.928). In total, 54 deaths (25 % of patients) were recorded with a higher relative risk (18.8) in intubated patients. Conclusion A quarter of COVID-19 patients admitted to ICU could worsen and be intubated. The majority of intubations were performed after the third day of admission and mortality was high. The predictors of intubation that have been identified can help anticipate management by being proactive
Subject(s)
Humans , COVID-19 , Incidence , Intensive Care Units , IntubationABSTRACT
Le monde entier fait face à une crise sanitaire sans précédent due à la pandémie de maladie à virus SARS-COV-2 alias COVID-19. Malgré les connaissances très incomplètes sur la COVID-19, on a constaté une contagiosité interhumaine élevée au début de la pandémie actuelle, et on estime que chaque nouveau cas de COVID-19 infecte en moyenne deux à trois personnes. En conséquence, la stratégie de lutte contre la pandémie à COVID-19 qui ébranle nos sociétés passe nécessairement par une intensification des tests de détection de l'infection. Ces tests diagnostiques de la COVID-19 sont un outil essentiel pour suivre la propagation de la pandémie. Ainsi, l'objectif de la présente revue de la littérature est d'aborder le diagnostic de l'infection à Coronavirus (COVID-19) en s'attardant sur les tests de diagnostic, leurs atouts et leurs limites. Il y a deux catégories de test : ceux qui recherchent la présence directe du virus ou de ses fragments, et ceux qui recherchent les anticorps résultant de l'infection par le virus du COVID-19. Le test real time Reverse Transcriptase Polymerase chain reaction (rt-RT-PCR) reste le gold standard pour le diagnostic de la COVID-19. Sa sensibilité sur les écouvillons nasopharyngés semble élevée, mais des faux négatifs peuvent se produire, avec une fréquence incertaine (environ 30% des cas). Les tests sérologiques détectent les anticorps spécifiques du SARSCoV-2. Ils permettent l'identification des individus qui ont été infectés par le virus, se sont rétablis, et ont développé, en théorie, une réponse immunitaire efficace contre le virus. Ils constituent des tests d'orientation diagnostique de la COVID19. A ce jour, aucun de ces tests n'est fiable à 100 %, mais, utilisés par un personnel médical qualifié et en combinaison, ils permettent l'identification de la majorité des individus infectés et immunisés
Subject(s)
COVID-19 , Coronavirus Infections/diagnosis , Democratic Republic of the Congo , Polymerase Chain Reaction , SerologyABSTRACT
Introduction: since the 1st case of coronavirus disease 2019 (COVID-19) in Kinshasa on March 10th 2020, mortality risk factors have not yet been reported. The objectives of the present study were to assess survival and to identify predictors of mortality in COVID-19 patients at Kinshasa University Hospital.Methods: a retrospective cohort study was conducted, 141 COVID-19 patients admitted at the Kinshasa University Hospital from March 23 to June 15, 2020 were included in the study. Kaplan Meier's method was used to described survival. Predictors of mortality were identified by COX regression models.Results: of the 141 patients admitted with COVID-19, 67.4 % were men (sex ratio 2H:1F); their average age was 49.6±16.5 years. The mortality rate in hospitalized patients with COVID-19 was 29% during the study period with 70% deceased within 24 hours of admission. Survival was decreased with the presence of hypertension, diabetes mellitus, low blood oxygen saturation (BOS), severe or critical stage disease. In multivariate analysis, age between 40 and 59 years [adjusted Hazard Ratio (aHR): 4.07; 95% CI: 1.16 - 8.30], age at least 60 years (aHR: 6.65; 95% CI: 1.48-8.88), severe or critical COVID-19 (aHR: 14.05; 95% CI: 6.3-15.67) and presence of dyspnea (aHR: 5.67; 95% CI: 1.46-21.98) were independently and significantly associated with the risk of death.Conclusion: older age, severe or critical COVID-19 and dyspnea on admission were potential predictors of mortality in patients with COVID-19. These predictors may help clinicians identify patients with a poor prognosis