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
Context and objective. The steady increase in the number of chronic hemodialysis patients in sub-Saharan Africa (SSA) calls for improved management of those patients. The present study aimed to determine the frequency of hepatitis C virus (HCV) infection, the prevalent genotypes, and the risk factors associated with HCV in hemodialysis patients in Kinshasa (DR Congo). Methods. A cross-sectional study was conducted from February to June 2018 in all hemodialysis centers in Kinshasa. Blood samples were collected from 127 chronic hemodialysis patients and tested for the presence of antibodies against HCV. The HCV genotype was identified by real-time polymerase chain reaction (RT- PCR). Results. Twenty-two (17.3 %) patients were positive for anti-HCV antibodies, ranging from 0 % to 52.9 % in different centers. Genotype 4 was detected in 18/22 (81.8 %), followed by genotype 2 in 2/22 (9.1%), and both genotypes 2 and 4 in one patient (4.5%). One patient had an undetermined genotype (4.5 %). Having received at least 4 transfusions [7,21 (1,09- 10,61); p=0.040)], not being under EPO treatment [5,81(1,47-12,96); p=0.012)], being on hemodialysis for at least 14 months [3,63(1,60-5,05); p=0.035)]and being dialyzed in an overloaded center [2,06(0,83-5,86); p=0.073)] were associated with a greater risk of HCV infection. Conclusion. This high HCV prevalence (17.3 %) represents a substantial health burden in HD patients from Kinshasa, DR Congo. It is largely driven by the number of blood transfusions, the duration time in hemodialysis. Observations from the present study underscore the need of reducing the number of blood transfusions in people on dialysis through the administration of erythropoietin, given the unaffordable cost of HCV therapy for most individuals in DR Congo.
Contexte et Objectifs. Le nombre des patients hémodialisés en Afrique subsaharienne en constante augmentation ; justifiant de ce fait une meilleure prise en charge de ces patients. La présente étude détermine la prévalence de l'infection par le virus de l'hépatite C en en determinant les génotypes ainsi que les facteurs y associés dans ce groupe de patients. Méthodes. 127 patients hémodialisés chroniques ont subis des tests sérologiques à la recherche des anticorps anti-VHC dans plusieurs centres de Kinshasa de février à juin 2018. Le génotype viral a été déterminé par la RT-PCR. Résultats. La fréquence des anticorps anti-VHC a varié de 0 à 52,9 % dans ce groupe. Les génotypes le plus fréquents ont été le 4 (18/22) et le 2 (2/22) ; étant sumultanément rétrouvé chez un patient, et indéterminé chez un autre sujet. Avoir reçu au moins 4 transfusions [7,21 (1,09-10,61; p=0.040)], ne pas être sous EPO [5,81(1,47-12,96); p=0.012)], être en hémodialyse depuis au moins 14 mois [3,63(1,60- 5,05); p=0.035)] et être dialysé dans un centre surchargé [2,06 (0,83-5,86); p=0.073)] étaient associés à un risque plus élevé d'infection par le VHC. Conclusion. Ses principaux déterminants sont : le nombre des transfusions sanguines et la durée d'HD ; d'où la nécessité de réduire les transfusions sanguines chez les sujets dialysés par l'administration d'EPO, étant donné le coût prohibitif du traitement contre le VHC dans notre contexte
Subject(s)
Humans , Male , Female , Epidemiologic Factors , Hepacivirus , Genotype , Prevalence , Renal DialysisABSTRACT
Les patients en hémodialyse présente un risqué élevé d'infection à SARS-Cov-2. Les stratégies préventives doivent donc être mises en place pour réduire le risque de transmission de la maladie en hémodialyse parmi lesquelles, l'éducation du staff médical ainsi que des patients, le screening de la maladie à COVID-19 ainsi que la séparation des patients infectés ou symptomatiques des non infectés