Determinants of mortality among hospitalized patients with COVID-19 during first and second waves of the pandemic: A retrospective cohort study from an isolation center in Kano, Nigeria.

BACKGROUND: Coronavirus disease 2019 (COVID-19) has emerged as an important cause of morbidity and mortality worldwide. The aim of this study is to identify the clinical predictors of mortality among patients with COVID-19 pneumonia during first and second waves in a treatment center in northwestern Nigeria. METHODS: This was a retrospective cohort study of 195 patients hospitalized with COVID-19 between April 2020 to March 2021 at a designated COVID-19 isolation center in Kano State, Northwest Nigeria. Data were summarized using frequencies and percentages. Unadjusted odds ratios and 95% confidence intervals and p-values were obtained. To determine independent determinants of mortality, we performed a stepwise multivariate logistic regression model. RESULTS: Of 195 patients studied, 21(10.77%) patients died. Males comprised 158 (81.03%) of the study population. In the adjusted stepwise logistic regression analysis, age>64 years (OR = 9.476, 95% CI: 2.181-41.165), second wave of the pandemic (OR = 49.340, 95% CI:6.222-391.247), cardiac complications (OR = 24.984, 95% CI: 3.618-172.508), hypertension (OR = 5.831, 95% CI:1.413-24.065) and lowest systolic blood pressure while on admission greater than or equal to 90mmHg were independent predictors of mortality (OR = 0.111, 95%CI: 0.021-0.581). CONCLUSION: Strategies targeted to prioritize needed care to patients with identified factors that predict mortality might improve patient outcome.

Metabolic syndrome among HIV infected patients: A comparative cross sectional study in northwestern Nigeria.

INTRODUCTION: The increasing availability of antiretroviral drugs has made HIV-positive patients to live longer, and conditions that are associated with longevity such as metabolic syndrome and other cardiovascular related conditions have become relevant in them. This is less well studied among African populations. Therefore the study aimed at estimating and comparing the prevalence of and associated risk factors for the metabolic syndrome (MS) among African HIV infected patients. METHOD: In this comparative cross-sectional study, we analyzed the data of 300 participants matched for age and gender who satisfied the inclusion criteria with half of the subjects on HAART, while the other half was HAART naïve. The MS was diagnosed using ATP-III criteria. RESULTS: The mean age of the patients was 34.8±9.9years. The majority of the patients were females 64%. The prevalence of MS among HAART-exposed patients was found to be 19.3%, while it was 5.3% among HAART naïve patients (p=0.001). Raised triglyceride and elevated blood pressure were the criteria with the highest occurrence among HAART-exposed, 82.8% for each. Advanced age, longer duration of HIV diagnosis and HAART exposure, increased BMI, weight gain after HAART exposure, exposure to PIs and increased mean CD4 cell count were found to be significantly associated with MS (p<0.05). However, only age (OR 4.3, 95% CI 1.6-11.8, p=0.005) and BMI (OR 4.2, 95% CI 1.5-11.9, p=0.007) were found to be independently associated with the development of MS. CONCLUSION: Exposure to HAART particularly protease inhibitor based regimen increases the risk of MS among HIV-infected patients.