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Abstract Background Although aging and being of African descent are well-known risk factors for masked uncontrolled hypertension (MUCH), data on MUCH among elderly black sub-Saharan Africans (BSSA) are limited. Furthermore, it is unclear whether the determinants of MUCH in younger individuals differ from those in the elderly. Objective This study aimed to determine the prevalence and risk factors associated with MUCH in both elderly and younger BSSA individuals. Methods In this study, 168 patients with treated hypertension were assessed for medical history, clinical examination, fundoscopy, echocardiography, and laboratory data. All patients underwent ambulatory blood pressure (BP) monitoring for 24 h. MUCH was diagnosed if the average 24-h mean BP ≥ 130/80 mmHg, the daytime mean BP ≥ 135/85 mmHg, and/or the nighttime mean BP ≥ 120/70 mmHg, despite controlled clinic BP (≤ 140/90 mmHg). Logistic regression analysis was performed to assess independent factors associated with MUCH, including elderly and younger adults separately. P-values

Background: Rapid recognition and early medical intervention are essential to reduce stroke-related mortality and long-term disability. This study aimed to evaluate awareness of stroke symptoms/signs and determine factors delaying the hospital arrival of patients with acute stroke in Kinshasa. Methods: Patients with stroke and/or accompanying family members were interviewed using a standard questionnaire, and their medical records were reviewed. Factors independently associated with a late arrival (≥4.5 h) to the hospital were identified using the logistic regression test in forward multivariate analysis. Results: Overall, 202 patients with an average age of 57.9 ± 13.1 years were included. Only 27 (13.4%) patients immediately associated the initial symptoms with a stroke episode. Delayed hospital arrival was observed in 180 (89.1%) patients. Unmarried status (adjusted odds ratio [aOR], 2.29; 95% confidence interval [CI], 1.17–4.88; p = 0.007), low education level (aOR, 2.29; 95% CI, (1.12–5.10; p = 0,014), absence of impaired consciousness (aOR, 3.12; 95% CI, 1.52–4.43; p = 0.005), absence of a history of hypertention (aOR, 1.85; 95% CI, 1.18–3.78; p = 0.041), absence of a history of diabetes (aOR, 1.93; 95% CI, 1.15–4.58; p = 0.013), heavy alcohol consumption (aOR, 1.83; 95% CI, 1.12–2.83; p = 0.045), absence of a severe to very severe stroke (aOR, 4.93; 95% CI, 0.82–1.01; p = 0.002), and presence of ischemic stroke (aOR, 2.93; 95% CI, 1.54–4.59; p = 0.001) were identified as independent determinants of delayed hospital arrival. Conclusions: This study depicted a low stroke awareness rate and a much longer prehospital delay than evidence-based guidelines recommend and identified eight factors that public health actions could target to promote the earliest management of stroke.

Abstract Background Despite it being a global pandemic, there is little research examining the clinical features of severe COVID-19 in sub-Saharan Africa. This study aims to identify predictors of mortality in COVID-19 patients at Kinshasa Medical Center (KMC). Methods In this retrospective, observational, cohort study carried out at the Kinshasa Medical Center (KMC) between March 10, 2020 and July 10, 2020, we included all adult inpatients (≥ 18 years old) with a positive COVID-19 PCR result. The end point of the study was survival. The study population was dichotomized into survivors and non-survivors group. Kaplan–Meier plot was used for survival analyses. The Log-Rank test was employed to compare the survival curves. Predictors of mortality were identified by Cox regression models. The significance level of p value was set at 0.05. Results 432 patients with confirmed COVID-19 were identified and only 106 (24.5%) patients with moderate, severe or critical illness (mean age 55.6 ± 13.2 years old, 80.2% were male) were included in this study, of whom 34 (32%) died during their hospitalisation. The main complications of the patients included ARDS in 59/66 (89.4%) patients, coagulopathy in 35/93 (37.6%) patients, acute cardiac injury in 24/98 (24.5%) patients, AKI in 15/74 (20.3%) patients and secondary infection in 12/81 (14.8%) patients. The independent predictors of mortality were found to be age [aHR 1.38; 95% CI 1.10–1.82], AKI stage 3 [aHR 2.51; 95% CI 1.33–6.80], proteinuria [aHR 2.60; 95% CI 1.40–6.42], respiratory rate [aHR 1.42; 95% CI 1.09–1.92] and procalcitonin [aHR 1.08; 95% CI 1.03–1.14]. The median survival time of the entire group was 12 days. The cumulative survival rate of COVID-19 patients was 86.9%, 65.0% and 19.9% respectively at 5, 10 and 20 days. Levels of creatinine (p = 0.012), were clearly elevated in non-survivors compared with survivors throughout the clinical course and increased deterioration. Conclusion Mortality rate of COVID-19 patients is high, particularly in intubated patients and is associated with age, respiratory rate, proteinuria, procalcitonin and acute kidney injury.