Mortality and associated factors among people living with HIV admitted at a tertiary-care hospital in Uganda: a cross-sectional study.

BACKGROUND: Hospital admission outcomes for people living with HIV (PLHIV) in resource-limited settings are understudied. We describe in-hospital mortality and associated clinical-demographic factors among PLHIV admitted at a tertiary-level public hospital in Uganda. METHODS: We performed a cross-sectional analysis of routinely collected data for PLHIV admitted at Kiruddu National Referral Hospital between March 2020 and March 2023. We estimated the proportion of PLHIV who had died during hospitalization and performed logistic regression modelling to identify predictors of mortality. RESULTS: Of the 5,827 hospitalized PLHIV, the median age was 39 years (interquartile range [IQR] 31-49) and 3,293 (56.51%) were female. The median CD4 + cell count was 109 cells/µL (IQR 25-343). At admission, 3,710 (63.67%) were active on antiretroviral therapy (ART); 1,144 (19.63%) had interrupted ART > 3 months and 973 (16.70%) were ART naïve. In-hospital mortality was 26% (1,524) with a median time-to-death of 3 days (IQR 1-7). Factors associated with mortality (with adjusted odds ratios) included ART interruption, 1.33, 95% confidence intervals (CI) 1.13-1.57, p 0.001; CD4 + counts ≤ 200 cells/µL 1.59, 95%CI 1.33-1.91, p < 0.001; undocumented CD4 + cell count status 2.08, 95%CI 1.73-2.50, p < 0.001; impaired function status 7.35, 95%CI 6.42-8.41, p < 0.001; COVID-19 1.70, 95%CI 1.22-2.37, p 0.002; liver disease 1.77, 95%CI 1.36-2.30, p < 0.001; co-infections 1.53, 95%CI 1.32-1.78, p < 0.001; home address > 20 km from hospital 1.23, 95%CI 1.04-1.46, p 0.014; hospital readmission 0.7, 95%CI 0.56-0.88, p 0.002; chronic lung disease 0.62, 95%CI 0.41-0.92, p 0.019; and neurologic disease 0.46, 95%CI 0.32-0.68, p < 0.001. CONCLUSION: One in four admitted PLHIV die during hospitalization. Identification of risk factors (such as ART interruption, function impairment, low/undocumented CD4 + cell count), early diagnosis and treatment of co-infections and liver disease could improve outcomes.

Determinants to Continuation on Hiv Pre-exposure Propylaxis Among Female Sex Workers at a Referral Hospital in Uganda: a Mixed Methods Study Using Com-b Model.

Background: Female sex workers (FSWs) have the highest HIV prevalence in Uganda. Pre exposure prophylaxis (PrEP) has been recommended as part of the HIV combination prevention strategy, with improved patient initiation, but continuation on the service is low. We evaluated PrEP continuation among FSWs and explored potential determinants of PrEP continuation within a public referral hospital in Urban Uganda. Methods: An explanatory sequential mixed method study was conducted at Kiruddu National referral hospital in Uganda. Secondary data on social demographic characteristics and follow up outcomes of at least one year was collected for all FSWs who were initiated PrEP between May 2020 and April 2021.We used Kaplan-Meier survival analysis to evaluate continuation on PrEP from time of initiation and follow-up period. The capability, opportunity, and motivation to change behaviour model was used to explore perspectives and practices of FSWs (n = 24) and health care providers (n = 8) on continuation on PrEP among FSWs, using semi structured interviews. The qualitative data was deductively coded and analyzed thematically, categorizing the themes related to PrEP continuation as facilitators and barriers. Results: Of the 292 FSWs initiated on PrEP during this period, 101 (34.6) % were active on PrEP, 137 (46.9%) were lost to follow-up, 45 (15.4%) were no longer eligible to continue PrEP, eight (2.7%) were transferred out and one (0.3%) had died. Median survival time on PrEP was 15 months (Interquartile range IQR, 3-21). The continuation rates on PrEP at six (6) and 12 months were, 61.1% and 53.1%, respectively. Facilitators of PrEP continuation included awareness of risk associated with sex work, integration of PrEP with other HIV prevention services, presence of PrEP Peer support and use of Drop-in centers. The barriers included low community awareness about PrEP, high mobility of sex workers, substance abuse, and the unfavorable daytime clinic schedules. Conclusion: Continuation on PrEP remains low among FSWs. Interventions for PrEP continuation should address barriers such as low community awareness on PrEP, substance abuse and restrictive health facility policies for scale of the PrEP program among FSWs in Uganda. Integration of PrEP with other services and scale up of community PrEP delivery structures may improve its continuation.

Effect of COVID-19 pandemic on inpatient service utilization and patient outcomes in Uganda.

COVID-19 has had devastating effects on health systems but reports from sub-Saharan Africa are few. We compared inpatient admissions, diagnostic tests performed, clinical characteristics and inpatient mortality before and during the COVID-19 pandemic at an urban tertiary facility in Uganda. We conducted a retrospective chart review of patients admitted at Kiruddu National Referral Hospital in Uganda between January-July 2019 (before the pandemic) and January-July 2020 (during the pandemic). Of 3749 inpatients, 2014 (53.7%) were female, and 1582 (42.2%) had HIV. There was a 6.1% decline in admissions from 1932 in 2019 to 1817 in 2020. There were significantly fewer diagnostic tests performed in 2020 for malaria, tuberculosis, and diabetes. Overall, 649 (17.3%) patients died. Patients admitted during the COVID-19 pandemic (adjusted odds ratio [aOR] 1.2, 95% confidence interval [CI] 1.04-1.5, p = 0.018), patients aged ≥ 60 years (aOR 1.6, 95% CI 1.2-2.1, p = 0.001), HIV co-infected (aOR 1.5, 95% CI 1.2-1.9, p < 0.001), and those admitted as referrals (aOR 1.5, 95% CI 1.2-1.9, p < 0.001) had higher odds of dying. The COVID-19 pandemic disrupted inpatient service utilization and was associated with inpatient mortality. Policy makers need to build resilience in health systems in Africa to cope with future pandemics.

Incidence and predictors of first line antiretroviral regimen modification in western Kenya.

BACKGROUND: Limited antiretroviral treatment regimens in resource-limited settings require long-term sustainability of patients on the few available options. We evaluated the incidence and predictors of combined antiretroviral treatment (cART) modifications, in an outpatient cohort of 955 patients who initiated cART between January 2009 and January 2011 in western Kenya. METHODS: cART modification was defined as either first time single drug substitution or switch. Incidence rates were determined by Poisson regression and risk factor analysis assessed using multivariate Cox regression modeling. RESULTS: Over a median follow-up period of 10.7 months, 178 (18.7%) patients modified regimens (incidence rate (IR); 18.6 per 100 person years [95% CI: 16.2-21.8]). Toxicity was the most common cited reason (66.3%). In adjusted multivariate Cox piecewise regression model, WHO disease stage III/IV (aHR; 1.82, 95%CI: 1.25-2.66), stavudine (d4T) use (aHR; 2.21 95%CI: 1.49-3.30) and increase in age (aHR; 1.02, 95%CI: 1.0-1.04) were associated with increased risk of treatment modification within the first year post-cART. Zidovudine (AZT) and tenofovir (TDF) use had a reduced risk for modification (aHR; 0.60 95%CI: 0.38-0.96 and aHR; 0.51 95%CI: 0.29-0.91 respectively). Beyond one year of treatment, d4T use (aHR; 2.75, 95% CI: 1.25-6.05), baseline CD4 counts ≤350 cells/mm3 (aHR; 2.45, 95%CI: 1.14-5.26), increase in age (aHR; 1.05 95%CI: 1.02-1.07) and high baseline weight >60kg aHR; 2.69 95% CI: 1.58-4.59) were associated with risk of cART modification. CONCLUSIONS: Early treatment initiation at higher CD4 counts and avoiding d4T use may reduce treatment modification and subsequently improve sustainability of patients on the available limited options.

Long-term experience providing antiretroviral drugs in a fee-for-service HIV clinic in Uganda: evidence of extended virologic and CD4+ cell count responses.

OBJECTIVE: To describe the long-term experience of providing anti-retroviral (ARV) therapy, including CD4 cell count and virologic response, at St. Francis Hospital, Nsambya, Uganda. METHODS: The HIV clinic established in 1998 is a fee-for-service model where patients pay for ARVs. The care of patients who started ARVs from August 1, 1998 until October 31, 2000 was evaluated through December 31, 2002. Data were collected at the HIV clinic on standardized clinical forms. These patients had free CD4 cell count and viral load testing performed at times determined by the physician. All persons who had >/=1 CD4 cell count or viral load done >/=90 days after starting therapy were evaluated. RESULTS: Three hundred twenty-one patients (49% women, 66% ARV naive, median age = 38 years, median CD4 cell count = 79 cells/mm, and median viral load = 249,489 copies/mL) attended the HIV clinic. Two hundred sixty-three (82%) patients returned at least once after the initial visit, of whom 54 (21%) had an interruption in therapy for >1 year. One hundred thirty-five patients were in care in 2002, 69 were known to have died (9 of whom died in 2002), and 68 were lost to follow-up. The probability of remaining alive and in care at 1 year was 0.56 (95% confidence interval [CI]: 0.50-0.61), 0.46 (95% CI: 0.41-0.51) at 2 years, 0.40 (95% CI: 0.34-0.45) at 3 years, and 0.35 (95% CI: 0.29-0.41) at 4 years. In an on-treatment analysis, the median CD4 cell count increase during year 1 was +55 cells/mm, +112 cells/mm during year 2, +142 cells/mm during year 3, and +131 cells/mm during year 4. The median log viral load change from baseline during year 1 was -1.4 copies/mL, -1.32 copies/mL during year 2, -1.9 copies/mL during year 3, and -1.51 copies/mL during year 4. CONCLUSIONS: This fee-for-service HIV clinic providing ARV treatment has successfully operated and managed patients for more than 4 years. Those who survived and remained on therapy derived long-term virologic and immunologic responses to ARV drugs in a manner similar to that observed in industrialized countries. Strategies to reduce the financial burden and other barriers to uninterrupted care as well as incentives to increase such practice models should be further explored in the African context.