Clinical characteristics of COVID-19 patients hospitalized at Clinique Ngaliema, a public hospital in Kinshasa, in the Democratic Republic of Congo: A retrospective cohort study.

ObjectivesTo describe the clinical characteristics of patients infected with SARS-CoV-2 at Clinique Ngaliema, a public hospital, in Kinshasa, in the Democratic Republic of Congo (DRC).MethodsThis retrospective study analyzed medical records including socio-demographics, past medical history, clinical manifestation, comorbidities, laboratory data, treatment and disease outcome of 160 hospitalized COVID-19 patients, with confirmed result of SARS-CoV-2 viral infection.ResultsThe median age of patients was 54 years (IQR: 38-64), and there was no significant gender difference (51% of male). The most common comorbidities were hypertension (55 [34%]), diabetes (31 [19%]) and obesity (13 [8%]). Fever (93 [58%]), cough (92 [57%]), fatigue (87 [54%]), shortness of breath (72 [45%]) and myalgia (33 [21%]) were the most common symptoms, upon admission. Patients were categorized into mild (92 [57%]), moderate (19 [12%]) and severe (49 [31%]). Severe patients were older and were more likely to have comorbidities, compared to mild ones. The majority of patients (92% [147 of 160]) patients received hydroxychloroquine or chloroquine phosphate. Regression model revealed that older age, lower SpO2, higher heart rate and elevated AST at admission were all risk factors associated with in-hospital death. The prevalence of COVID-19 and malaria co-infection was 0.63% and 70 (44%) of all patients received antimalarial treatment before hospitalization.ConclusionOur findings indicated that the epidemiological and clinical feature of COVID-19 patients in Kinshasa are broadly similar to previous reports from other settings. Older age, lower SpO2, tachycardia, and elevated AST could help to identify patients at higher risk of death at an early stage of the illness. Plasmodium spp co-infection was not common in hospitalized COVID-19 patients

Prevalence and determinants of Hepatitis C Virus Infection and Genotypes in Chronic Hemodialysis Patients in Kinshasa: Prévalence et déterminants de l’infection par le virus de l’hépatite C et génotypes chez les hémodialysés chroniques, à Kinshasa

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. 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