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Background Prolonged exposure to HIV and anti-retroviral therapy (ART) has been linked with endothelial cell activation which subsequently predisposes people living with HIV (PLWH) to cardiovascular diseases. Serum biomarkers of endothelial cell activation such as E-Selectin and endothelial cell-specific molecule-1 (ESM-1) could aid in early detection of PLWH at a risk of cardiovascular diseases. However, there is a paucity of data on these biomarkers like E-selectin and endothelial cell-specific molecule-1 (ESM-1) among PLWH on long term ART (≥ 10 years) in Uganda. The aim of this study is to determine the serum levels of these biomarkers in this population. Methods This was a cross-sectional study where we randomly sampled 73 stored serum samples of PLWH who were enrolled in the Infectious Diseases Institute (IDI) ART long term (ALT cohort). We measured serum levels of E-selectin and ESM-1 by ELISA. Data was summarized using median and interquartile range. Inferential statistics were performed to determine predictors of elevated levels of E-selectin. Results Of the 73 samples analyzed, 38 (52.1%) were from female participants. The mean age was 54 ± 9.0 years. Twenty participants (27.4%) had a history of smoking while 52 (71.2%) had a history of alcohol intake. Twenty-five (34.3%) of the participants were overweight whereas 4 (5.6%) were obese. Fifty-four (74%) had an undetectable viral load (≤ 0 copies/ml) and the mean duration of ART at the time of sampling (2014/2015) was 10.4 ± 0.4 years. While serum levels of ESM-1 were not detectable in any of our samples, the median E-selectin levels was 147.6 μm/L ranging from 8.44 μm/L and 1,979.36 μm/L. Sixty-seven participants (91.8%) had elevated levels of E-selectin (> 39 μm/L). CD4 count > 500 cells/µl compared to lower counts was a predictor of elevated levels of E-Selectin (adjusted Odd Ratio 12.5, 95% CI (1.03 — 149.95, p Conclusions The majority (91.8%) of PLWH on long term ART had elevated levels of E-selectin. Having high CD4 count (> 500 cells/µl) was predictive of elevated levels of E-Selectin. Future work should longitudinally assess the trend of levels of E-selectin and ESM-1 while assessing for cardiovascular diseases endpoint.

Dear Editor, African Health Sciences Journal,This year, 2022, Makerere University will be celebrating 100 years of existence. As current lung science/medicine experts, we felt it as important to trace the University’s contribution to lung science and medicine. In this letter, we trace and describe some of the early work done by Makerere University/Mulago Hospital affiliated scientists, identify prominent players in lung science over the 100 years, and present the university’s scholarly contribution to this field, as available in online databases. We include both Makerere University and Mulago Hospital affiliated scientists, because for many years, staff of these two institutions have worked together in teaching, research and patient care.

Background Over 80% of the morbidity and mortality related to non-communicable diseases (NCDs) occurs in low-income and middle-income countries (LMICs). Community health workers (CHWs) may improve disease control and medication adherence among patients with NCDs in LMICs, particularly in sub-Saharan African settings. In Uganda, and the majority of LMICs, management of uncontrolled hypertension remains limited in constrained health systems. Intervening at the primary care level, using CHWs to improve medical treatment outcomes has not been well studied. We aim to determine the effectiveness of a CHW-led intervention in blood pressure control among confirmed hypertensive patients and patient-related factors associated with uncontrolled hypertension. Methods We will conduct a stepped-wedge cluster randomized controlled trial study of 869 adult patients with hypertension attending two NCD clinics to test the effectiveness, acceptability, and fidelity of a CHW-led intervention. The multi-component intervention will be centered on monthly household visits by trained CHWs for a period of 1 year, consisting of the following: (1) blood pressure and sugar monitoring, (2) BMI monitoring, (3) cardiovascular disease risk assessment, (4) using checklists to guide monitoring and referral to clinics, and (5) healthy lifestyle counseling and education. During home visits, CHWs will remind patients of follow-up visits. We will measure blood pressure at baseline and 3-monthly for the entire cohort. We will conduct individual-level mixed effects analyses of study data, adjusting for time and clustering by patient and community. Conclusion The results of this study will inform community delivered HTN management across a range of LMIC settings. Trial registration ClinicalTrials.govNCT05068505. Registered on October 6, 2021.

ObjectivesThere is growing recognition around the importance of multimorbidity in low-income and middle-income country (LMIC) settings, and specifically the need for pragmatic intervention studies to reduce the risk of developing multimorbidity, and of mitigating the complications and progression of multimorbidity in LMICs. One of many challenges in completing such research has been the selection of appropriate outcomes measures. A 2018 Delphi exercise to develop a core-outcome set for multimorbidity research did not specifically address the challenges of multimorbidity in LMICs where the global burden is greatest, patterns of disease often differ and health systems are frequently fragmented. We, therefore, aimed to summarise and critically review outcome measures suitable for studies investigating mitigation of multimorbidity in LMIC settings.SettingLMIC.ParticipantsPeople with multimorbidity.Outcome measuresIdentification of all outcome measures.ResultsWe present a critical review of outcome measures across eight domains: mortality, quality of life, function, health economics, healthcare access and utilisation, treatment burden, measures of ‘Healthy Living’ and self-efficacy and social functioning.ConclusionsStudies in multimorbidity are necessarily diverse and thus different outcome measures will be appropriate for different study designs. Presenting the diversity of outcome measures across domains should provide a useful summary for researchers, encourage the use of multiple domains in multimorbidity research, and provoke debate and progress in the field.