4 research outputs found
Contributions of pulmonary hypertension to HIV-related cardiac dysfunction
AbstractBackground/AimTo evaluate the prevalence of pulmonary hypertension among patients living with HIV/AIDS and to determine its contribution to cardiac dysfunction.MethodA hospital based cross sectional study was carried out over a 6-month period at the Jos University Teaching Hospital. The subjects were 200 confirmed HIV positive patients, ≥18 years of age who consented to the study. Physical examination, laboratory investigations, 2 dimensional and Doppler echocardiography were conducted on the subjects.ResultsThe mean age of the patients was 38 ± 9 years, and there were 142 females (71%).Females were younger, mean age 36 ± 8 years versus 41 ± 10 years for males (p-value <0.01). The median CD4 cell count was 312 cells/μl, there were no homosexual or intravenous drug user among the subjects.Eight of the subjects had pulmonary hypertension, with a case prevalence of 4%, and this had no relationship to CD4 cell count. Both systolic and diastolic functions were worse in subjects with pulmonary hypertension, with a negative correlation between mean pulmonary arterial systolic pressure (mPASP) and parameters like ejection fraction (r = −0.28, p-value 0.0003), fractional shortening (r = −0.21, p-value 0.003), deceleration time (r = −0.13. p-value 0.09).ConclusionImmune-suppression affects the cardiac function adversely and coexisting pulmonary hypertension contributes to poor systolic and diastolic function in affected patients. The subtle nature of presentation of pulmonary hypertension and other cardiac dysfunctions in HIV/AIDS patients demand a high-index of suspicion and early intervention if detected, to ensure better care for these emerging threats to our patients
Hepatitis B Co-Infection is Associated with Poorer Survival of HIV-Infected Patients on Highly Active Antiretroviral Therapy in West Africa
Background: Hepatitis B has been reported to be high in HIV-infected African populations. However, the impact of this co-infection on the survival of HIV-infected Africans on long-term highly active antiretroviral therapy (HAART) remains poorly characterised. We investigated the impact of HBV/HIV co-infection on survival of HIV infected patients undergoing antiretroviral therapy in a West African population. Methods: This was a clinic-based cohort study of HIV-infected adults enrolled in Nigeria, West Africa. Study subjects (9,758) were screened for hepatitis B and hepatitis C at HAART initiation. Kaplan-Meier survival and Cox proportional hazards models were used to estimate probability of survival and to identify predictors of mortality respectively, based on hepatitis B surface antigen status. All patients had signed an informed written consent before enrolment into the study; and we additionally obtained permission for secondary use of data from the Harvard institutional review board. Results: Patients were followed up for a median of 41 months (interquartile range: 30–62 months) during which, 181 (1.9%) patients died. Most of the deaths; 143 (79.0%) occurred prior to availability of Tenofovir. Among those that were on antiretroviral therapy, hepatitis B co-infected patients experienced a significantly lower survival than HIV mono-infected patients at 74 months of follow up (94% vs. 97%; p=0.0097). Generally, hepatitis B co-infection: HBsAg-positive/HIV-positive (Hazards Rate [HR]; 1.5: 95% CI 1.09–2.11), co-morbid tuberculosis (HR; 2.2: 95% CI 1.57–2.96) and male gender (HR; 1.5: 95% CI 1.08–2.00) were significantly predictive of mortality. Categorising the patients based on use of Tenofovir, HBV infection failed to become a predictor of mortality among those on Tenofovir-containing HAART. Conclusions: HBsAg-positive status was associated with reduced survival and was an independent predictor of mortality in this African HIV cohort on HAART. However, Tenofovir annulled the impact of HBV on mortality of HIV patients in the present study cohort
Building Big Data Platform for End-to-End Analytics Experience in Academic Environment
ABSTRACT: The goal of this study is to highlight the skills that students could gain from experiencing end-to-end analytics on big data platforms in the academic environment in order to meet real world expectations. After almost two decades, many industries realized that incorporating the fields of computer science, statistics, and machine learning to big data produced the competitive advantage and internal development needed. Beyond the business industries, data science is increasingly becoming the foundation of projects in a variety of domains e.g., health, manufacturing, and policy. This creates a wide range of expectations regarding recent data science graduates. PURPOSE: To promote departmental consideration for incorporating big data activity in courses. PROCEDURES: A data lake infrastructure was built for large scale analyses. Data from different sources was stored to distribute storage system within data lake. The data was then extracted out of the distributed database and prepare the dataset for the analysis. The exploratory data analysis was performed on the airline on-time performance data and the local climatological data. OUTCOME: The learning outcomes involve experiencing the process of handling big data within data lake and understanding the pros and cons of big data infrastructure in analysis. IMPACT: This study will serve as course projects that covers the techniques involved in the extraction of big data and analytics for the courses in the data science and analytics programs. Enabling such skills in future students will create a stronger background to meet the expectations of the industry
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Prevalence of and risk factors for pulmonary tuberculosis among newly diagnosed HIV-1 infected Nigerian children
Introduction: Studies on the prevalence of and risk factors for tuberculosis (TB) among newly diagnosed human immunodeficiency virus (HIV)-infected children in sub-Saharan Africa are scarce and in Nigeria there is paucity of reported data. We determined the prevalence of and risk factors for pulmonary TB (PTB) in newly diagnosed (treatment-naïve) HIV-1 infected children at the pediatric HIV clinic of the Jos University Teaching Hospital (JUTH) in Nigeria. Methods: We performed a retrospective analysis of 876 children, aged 2 months – 13 years, diagnosed with HIV-1 infection between July 2005 and December 2012, of which 286 were diagnosed with PTB at presentation after TB screening. The study site was the AIDS Prevention Initiative in Nigeria (APIN)-supported Pediatric HIV clinic at JUTH, Jos. A multivariate forward logistic regression modelling was used to identify risk factors for PTB-HIV co-infection. Results: The prevalence of PTB-HIV co-infection was 32% (286/876). Severe immunosuppression (SI) and World Health Organization (WHO) HIV clinical stage 3/4 were identified as independent risk factors for PTB-HIV co-infection in HIV infected children. The odds of PTB-HIV co-infection was increased two-fold in HIV-infected children with WHO clinical stage 3/4 compared to those with stage 1/2 (adjusted odds ratio (AOR) 1.76 [1.31-2.37], p<0.001) and 1.5-fold in children with SI compared to those without SI (AOR 1.52 [1.12-2.06], p=0.007). Conclusion: In our setting, the burden of PTB was high among newly diagnosed HIV-infected children, and late WHO HIV clinical stage and severe immunosuppression were associated with PTB-HIV co-infection. Therefore there is a clear need to improve strategies for early diagnosis of both HIV and PTB to optimize clinical outcomes