Risk factors for mortality in COVID-19 patients in sub-Saharan Africa: A systematic review and meta-analysis.

AIM: Mortality rates of coronavirus-2019 (COVID-19) disease continue to increase worldwide and in Africa. In this study, we aimed to summarize the available results on the association between sociodemographic, clinical, biological, and comorbidity factors and the risk of mortality due to COVID-19 in sub-Saharan Africa. METHODS: We followed the PRISMA checklist (S1 Checklist). We searched PubMed, Google Scholar, and European PMC between January 1, 2020, and September 23, 2021. We included observational studies with Subjects had to be laboratory-confirmed COVID-19 patients; had to report risk factors or predictors of mortality in COVID-19 patients, Studies had to be published in English, include multivariate analysis, and be conducted in the sub-Saharan region. Exclusion criteria included case reports, review articles, commentaries, errata, protocols, abstracts, reports, letters to the editor, and repeat studies. The methodological quality of the studies included in this meta-analysis was assessed using the methodological items for nonrandomized studies (MINORS). Pooled hazard ratios (HR) or odds ratios (OR) and 95% confidence intervals (CI) were calculated separately to identify mortality risk. In addition, publication bias and subgroup analysis were assessed. RESULTS AND DISCUSSION: Twelve studies with a total of 43598 patients met the inclusion criteria. The outcomes of interest were mortality. The results of the analysis showed that the pooled prevalence of mortality in COVID-19 patients was 4.8%. Older people showed an increased risk of mortality from SARS-Cov-2. The pooled hazard ratio (pHR) and odds ratio (pOR) were 9.01 (95% CI; 6.30-11.71) and 1.04 (95% CI; 1.02-1.06), respectively. A significant association was found between COVID-19 mortality and men (pOR = 1.52; 95% CI 1.04-2). In addition, the risk of mortality in patients hospitalized with COVID-19 infection was strongly influenced by chronic kidney disease (CKD), hypertension, severe or critical infection on admission, cough, and dyspnea. The major limitations of the present study are that the data in the meta-analysis came mainly from studies that were published, which may lead to publication bias, and that the causal relationship between risk factors and poor outcome in patients with COVID-19 cannot be confirmed because of the inherent limitations of the observational study. CONCLUSIONS: Advanced age, male sex, CKD, hypertension, severe or critical condition on admission, cough, and dyspnea are clinical risk factors for fatal outcomes associated with coronavirus. These findings could be used for research, control, and prevention of the disease and could help providers take appropriate measures and improve clinical outcomes in these patients.

Retention in care and predictors of attrition among HIV-infected patients who started antiretroviral therapy in Kinshasa, DRC, before and after the implementation of the 'treat-all' strategy.

The retention of patients in care is a key pillar of the continuum of HIV care. It has been suggested that the implementation of a "treat-all" strategy may favor attrition (death or lost to follow-up, as opposed to retention), specifically in the subgroup of asymptomatic people living with HIV (PLWH) with high CD4 counts. Attrition in HIV care could mitigate the success of universal antiretroviral therapy (ART) in resource-limited settings. We performed a retrospective study of PLWH at least 15 years old initiating ART in 85 HIV care centers in Kinshasa, Democratic Republic of Congo (DRC), between 2010 and 2019, with the objective of measuring attrition and to define factors associated with it. Sociodemographic and clinical characteristics recorded at ART initiation included sex, age, weight, height, WHO HIV stage, pregnancy, baseline CD4 cell count, start date of ART, and baseline and last ART regimen. Attrition was defined as death or loss to follow-up (LTFU). LTFU was defined as "not presenting to an HIV care center for at least 180 days after the date of a last missed visit, without a notification of death or transfer". Kaplan-Meier curves were used to present attrition data, and mixed effects Cox regression models determined factors associated with attrition. The results compared were before and after the implementation of the "treat-all" strategy. A total of 15,762 PLWH were included in the study. Overall, retention in HIV care was 83% at twelve months and 77% after two years of follow-up. The risk of attrition increased with advanced HIV disease and the size of the HIV care center. Time to ART initiation greater than seven days after diagnosis and Cotrimoxazole prophylaxis was associated with a reduced risk of attrition. The implementation of the "treat-all" strategy modified the clinical characteristics of PLWH toward higher CD4 cell counts and a greater proportion of patients at WHO stages I and II at treatment initiation. Initiation of ART after the implementation of the 'treat all" strategy was associated with higher attrition (p<0.0001) and higher LTFU (p<0.0001). Attrition has remained high in recent years. The implementation of the "treat-all" strategy was associated with higher attrition and LTFU in our study. Interventions to improve early and ongoing commitment to care are needed, with specific attention to high-risk groups to improve ART coverage and limit HIV transmission.

Diabetes Mellitus is Associated With Higher COVID-19 Mortality Rates in Sub-Saharan Africa: A Systematic Review and Meta-analysis.

The rate of COVID-19-related mortality among patients with diabetes mellitus in Sub-Saharan Africa (SSA) is unknown. The current study aimed to determine the mortality rate of COVID-19 among diabetes patients in SSA. We performed a systematic review of research articles until July 1, 2021. A literature review was conducted in accordance with the PRISMA guidelines to gather relevant data. A random effects model was used to calculate odds ratios and 95% confidence intervals (CIs). We used Egger's tests and Begg's funnel plot to examine publication bias. The mortality rate of 7778 COVID-19 patients was analyzed using data from seven studies. The I2 test was used to determine the heterogeneity between studies. The meta-analysis revealed that diabetes mellitus was linked to a 1.39-fold increase in the risk of death among COVID-19 inpatients (95% CI: 1.02-1.76). According to our findings, there was no significant heterogeneity between studies, and there was no publication bias. The present review describes an association between diabetes mellitus and the risk of COVID-19 mortality in SSA.

Prevalence and Outcomes of COVID -19 Patients with Happy Hypoxia: A Systematic Review.

Background: In Coronavirus disease 2019 (COVID-19), some patients have low oxygen saturation without any dyspnea. This has been termed "happy hypoxia." No worldwide prevalence survey of this phenomenon has been conducted. This review aimed to summarize information on the prevalence, risk factors, and outcomes of patients with happy hypoxia to improve their management. Methods: We conducted a systematic search of electronic databases for all studies published up to April 30, 2022. We included high-quality studies using the Newcastle-Ottawa Scale (NOS) tool for qualitative assessment of searches. The prevalence of happy hypoxia, as well as the mortality rate of patients with happy hypoxia, were estimated by pooled analysis and heterogeneity by I2. Results: Of the 25,086 COVID-19 patients from the 7 studies, the prevalence of happy hypoxia ranged from 4.8 to 65%. The pooled prevalence was 6%. Happy hypoxia was associated with age > 65 years, male sex, body mass index (BMI)> 25 kg/m2, smoking, chronic obstructive pulmonary disease, diabetes mellitus, high respiratory rate, and high d-dimer. Mortality ranged from 01 to 45.4%. The pooled mortality was 2%. In 2 studies, patients with dyspnea were admitted to intensive care more often than those with happy hypoxia. One study reported that the length of stay in intensive care did not differ between patients with dyspnea and those with happy hypoxia at admission. One study reported the need for extracorporeal membrane oxygenation (ECMO) in patients with happy hypoxia. Conclusion: The pooled prevalence and mortality of patients with happy hypoxia were not very high. Happy hypoxia was associated with advanced age and comorbidities. Some patients were admitted to the intensive care unit, although fewer than dyspneic patients. Its early detection and management should improve the prognosis.

Factors associated with death in COVID-19 patients over 60 years of age at Kinshasa University Hospital, Democratic Republic of Congo (DRC).

Introduction: the objectives of the present study were to determine the mortality rate in patients over 60 years of age with COVID-19 and to identify risk factors. Methods: the present historical cohort study took place at the Kinshasa University Hospital (KUH), DRC. Older patients admitted from March 2020 to May 2021 and diagnosed COVID-19 positive at the laboratory were selected. The relationship between clinical and biological risk factors, treatment, and in-hospital mortality was modeled using Cox regression. Results: of two hundred and twenty-two patients at least 60 years old, 97 died, for a mortality rate of 43.69%. The median age was 70 years (64-74) with extremes of 60 to 88 years. Low oxygen saturation of < 90% (aHR 1.69; 95% CI [1.03-2.77]; p=0.038) was an independent predictor of mortality. The risk of death was reduced with corticosteroid use (aHR 0.54; 95% CI [0.40-0.75]; p=0.01) and anticoagulant treatment (aHR 0.53; 95% CI [0.38-0.73]; p=0.01). Conclusion: mortality was high in seniors during COVID-19 and low oxygen saturation on admission was a risk factor for mortality. Corticosteroid therapy and anticoagulation were protective factors. These should be considered in management to reduce mortality.

Mortality associated with COVID-19 and hypertension in sub-Saharan Africa. A systematic review and meta-analysis.

Hypertension is a common comorbidity in COVID-19 patients. However, little data is available on mortality in COVID-19 patients with hypertension in sub-Saharan Africa (SSA). Herein, the authors conducted a systematic review of research articles published from January 1, 2020 to July 1, 2021. Our aim was to evaluate the magnitude of COVID-19 mortality in patients with hypertension in SSA. Following the PRISMA guidelines, two independent investigators conducted the literature review to collect relevant data. The authors used a random effect model to estimate the odds ratio, or hazard ratio, with a 95% confidence interval (CI). Furthermore, the authors used Egger's tests to check for publication bias. For mortality analysis, the authors included data on 29 945 COVID-19 patients from seven publications. The authors assessed the heterogeneity across studies with the I2 test. Finally, the pooled analysis revealed that hypertension was associated with an increased odds of mortality among COVID-19 inpatients (OR 1.32; 95% CI, 1.13-1.50). Our analysis revealed neither substantial heterogeneity across studies nor a publication bias. Therefore, our prespecified results provided new evidence that hypertension could increase the risk of mortality from COVID-19 in SSA.

[Determinants of non-compliance with antiretroviral therapy in adult patients in Kinshasa]. / Déterminants de la non-observance au traitement antirétroviral chez l'adulte à Kinshasa.

INTRODUCTION: the purpose of this study was to identify the determinants of non-compliance of persons living with HIV with antiretroviral treatment in Kinshasa. METHODS: we conducted a cross-sectional study in Kinshasa from 1st May to 31st August 2015. The study population was composed of patients aged at least 18 years living with HIV who had been treated with antiretroviral drugs for at least 3 months. Adherence Index (subjective method) and prescription refills (objective method) were used to assess compliance. Determinants of non-compliance were identified by logistic regression model. RESULTS: the 400 patients living with HIV had a median age of 43 years (18-75). Global non-compliance rate was 25.5%. Objective non-compliance rate was higher than that of subjective non-compliance (29% vs 21%, p = 0.01). Payment for consultation [adjusted odds ratio (AOR): 1.70; 95% confidence interval (95% CI): 1.02-2.81; p = 0.042), adverse reactions (AOR: 2.23; 95% CI: 1.33-3.75; p = 0.002) and the lack of awareness that missing a dose may worsen disease (AOR: 4.16; 95% CI: 1.04-16.68; p = 0.045) were determinants of non-compliance. Having trusted person was a protective factor versus non-compliance (AOR: 0.54; 95% CI: 0.39-0.93; p = 0.004). CONCLUSION: the rate of non-compliance with antiretroviral treatment is high in Kinshasa. The evaluation of determinants is necessary to establish strategies for improving compliance.

Predictors of mortality in COVID-19 patients at Kinshasa University Hospital, Democratic Republic of the Congo, from March to June 2020.

INTRODUCTION: since the 1st case of coronavirus disease 2019 (COVID-19) in Kinshasa on March 10th2020, 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.