Second-Line Switch to Dolutegravir for Treatment of HIV Infection.

BACKGROUND: Data to inform the switch from a ritonavir-boosted protease inhibitor (PI) to dolutegravir in patients living with human immunodeficiency virus (HIV) infection who do not have genotype information and who have viral suppression with second-line therapy containing a ritonavir-boosted PI have been limited. METHODS: In a prospective, multicenter, open-label trial conducted at four sites in Kenya, we randomly assigned, in a 1:1 ratio, previously treated patients without genotype information who had viral suppression while receiving treatment containing a ritonavir-boosted PI to either switch to dolutegravir or continue the current regimen. The primary end point was a plasma HIV type 1 RNA level of at least 50 copies per milliliter at week 48, assessed on the basis of the Food and Drug Administration snapshot algorithm. The noninferiority margin for the between-group difference in the percentage of participants who met the primary end point was 4 percentage points. Safety up to week 48 was assessed. RESULTS: A total of 795 participants were enrolled, with 398 assigned to switch to dolutegravir and 397 assigned to continue taking their ritonavir-boosted PI; 791 participants (397 in the dolutegravir group and 394 in the ritonavir-boosted PI group) were included in the intention-to-treat exposed population. At week 48, a total of 20 participants (5.0%) in the dolutegravir group and 20 (5.1%) in the ritonavir-boosted PI group met the primary end point (difference, -0.04 percentage points; 95% confidence interval, -3.1 to 3.0), a result that met the criterion for noninferiority. No mutations conferring resistance to dolutegravir or the ritonavir-boosted PI were detected at the time of treatment failure. The incidence of treatment-related grade 3 or 4 adverse events was similar in the dolutegravir group and the ritonavir-boosted PI group (5.7% and 6.9%, respectively). CONCLUSIONS: In previously treated patients with viral suppression for whom there were no data regarding the presence of drug-resistance mutations, dolutegravir treatment was noninferior to a regimen containing a ritonavir-boosted PI when the patients were switched from a ritonavir-boosted PI-based regimen. (Funded by ViiV Healthcare; 2SD ClinicalTrials.gov number, NCT04229290.).

High rates of kidney impairment among older people (≥ 60 years) living with HIV on first-line antiretroviral therapy at screening for a clinical trial in Kenya.

BACKGROUND: There is a paucity of data on kidney impairment among older people living with HIV (PLWH). We evaluated kidney function among PLWH age ≥ 60 years on first-line antiretroviral (ARV) therapy during screening for a clinical trial in Kenya. METHODS: The bictegravir/emtricitabine/tenofovir alafenamide (B/F/TAF) Elderly Study is an open-label, randomized, active-controlled, non-inferiority trial conducted at two sites in Kenya. Potential participants were screened for study entry if they were at least 60 years old, had been on ARVs for at least 24 weeks and had no history of treatment failure. At screening, participants had samples collected for serum creatinine and estimated glomerular filtration rate (eGFR) was calculated using the Chronic Kidney Disease Epidemiology Collaboration 2021 equation. RESULTS: Between January and April 2022, 714 participants were screened and had creatinine measured. All participants were black, 54.1% were female and the median age was 64 years (range 60 to 87 years). Most participants (666 [93.3%]) were on tenofovir disoproxil fumarate-containing regimens, 711 (99.6%) were on dolutegravir-containing regimens, and only 2 (0.3%) were on a regimen with a ritonavir-boosted protease inhibitor. Most participants (686 [96.6%]) were virally suppressed. Treatment for comorbidities was common, with 175 (24.5%) on treatment for hypertension and 39 (5.5%) on treatment for diabetes mellitus. The median eGFR was 64.7 mL/min/1.73m2, and 289 (40.5%) participants had an eGFR < 60 mL/min/1.73m2. In multivariate analysis, factors associated with lower eGFR were female gender (p<0.001), being on treatment for hypertension (p<0.001) and nadir CD4 count < 50 cells/µL (p = 0.008). CONCLUSIONS: Our study identified high rates of impaired kidney function among elderly PLHW in Kenya, which highlights the importance of routine assessment of kidney function and the need to address modifiable risk factors, use of appropriate ARVs, and management of kidney disease in this population.

Patient perceptions of facilitators and barriers to reducing hazardous alcohol use among people living with HIV in East Africa.

BACKGROUND: Hazardous alcohol use among people living with HIV is associated with poor outcomes and increased morbidity and mortality. Understanding the hazardous drinking experiences of people living with HIV is needed to reduce their alcohol use. METHODS: We conducted 60 interviews among people living with HIV in East Africa with hazardous drinking histories. Interviews and Alcohol Use Disorder Identification Test (AUDIT) scores were conducted 41 - 60 months after their baseline assessment of alcohol use to identify facilitators and barriers to reduced alcohol use over time. RESULTS: People living with HIV who stopped or reduced hazardous drinking were primarily motivated by their HIV condition and desire for longevity. Facilitators of reduced drinking included health care workers' recommendations to reduce drinking (despite little counseling and no referrals) and social support. In those continuing to drink at hazardous levels, barriers to reduced drinking were stress, social environment, alcohol accessibility and alcohol dependency. CONCLUSIONS: Interventions that capacity-build professional and lay health care workers with the skills and resources to decrease problematic alcohol use, along with alcohol cessation in peer support structures, should be explored.

Enhancing accreditation outcomes for medical laboratories on the Strengthening Laboratory Management Toward Accreditation programme in Kenya via a rapid results initiative.

Background: Since 2010, Kenya has used SLIPTA to prepare and improve quality management systems in medical laboratories to achieve ISO 15189 accreditation. However, less than 10% of enrolled laboratories had done so in the initial seven years of SLMTA implementation. Objective: We described Kenya's experience in accelerating medical laboratories on SLMTA to attain ISO 15189 accreditation. Methods: From March 2017 to July 2017, an aggressive top-down approach through high-level management stakeholder engagement for buy-in, needs-based expedited SLIPTA mentorship and on-site support as a rapid results initiative (RRI) was implemented in 39 laboratories whose quality improvement process had stagnated for 2-7 years. In July 2017, SLIPTA baseline and exit audit average scores on quality essential elements were compared to assess performance. Results: After RRI, laboratories achieving greater than a 2-star SLMTA rating increased significantly from 15 (38%) at baseline to 33 (85%) (p < 0.001). Overall, 34/39 (87%) laboratories received ISO 15189 accreditation within two years of RRI, leading to a 330% increase in the number of accredited laboratories in Kenya. The most improved of the 12 quality system essentials were Equipment Management (mean increase 95% CI: 5.31 ± 1.89) and Facilities and Biosafety (mean increase [95% CI: 4.05 ± 1.78]) (both: p < 0.0001). Information Management and Corrective Action Management remained the most challenging to improve, despite RRI interventions. Conclusion: High-level advocacy and targeted mentorship through RRI dramatically improved laboratory accreditation in Kenya. Similar approaches of strengthening SLIPTA implementation could improve SLMTA outcomes in other countries with similar challenges.

First cases of SARS-CoV-2 infection and secondary transmission in Kisumu, Kenya.

We investigated the first 152 laboratory-confirmed SARS-CoV-2 cases (125 primary and 27 secondary) and their 248 close contacts in Kisumu County, Kenya. Conducted June 10-October 8, 2020, this study included interviews and sample collection at enrolment and 14-21 days later. Median age was 35 years (IQR 28-44); 69.0% reported COVID-19 related symptoms, most commonly cough (60.0%), headache (55.2%), fever (53.3%) and loss of taste or smell (43.8%). One in five were hospitalized, 34.4% >25 years of age had at least one comorbidity, and all deaths had comorbidities. Adults ≥25 years with a comorbidity were 3.15 (95% CI 1.37-7.26) times more likely to have been hospitalized or died than participants without a comorbidity. Infectious comorbidities included HIV, tuberculosis, and malaria, but no current cases of influenza, respiratory syncytial virus, dengue fever, leptospirosis or chikungunya were identified. Thirteen (10.4%) of the 125 primary infections transmitted COVID-19 to 27 close contacts, 158 (63.7%) of whom resided or worked within the same household. Thirty-one percent (4 of 13) of those who transmitted COVID-19 to secondary cases were health care workers; no known secondary transmissions occurred between health care workers. This rapid assessment early in the course of the COVID-19 pandemic identified some context-specific characteristics which conflicted with the national line-listing of cases, and which have been substantiated in the year since. These included over two-thirds of cases reporting the development of symptoms during the two weeks after diagnosis, compared to the 7% of cases reported nationally; over half of cases reporting headaches, and nearly half of all cases reporting loss of taste and smell, none of which were reported at the time by the World Health Organization to be common symptoms. This study highlights the importance of rapid in-depth assessments of outbreaks in understanding the local epidemiology and response measures required.

They are likely to be there: using a family-centered index testing approach to identify children living with HIV in Kenya.

In Kenya, only half of children with a parent living with HIV have been tested for HIV. The effectiveness of family-centered index testing to identify children (0-14 years) living with HIV was examined. A retrospective record review was conducted among adult index patients newly enrolled in HIV care between May and July 2015; family testing, results, and linkage to treatment outcomes were followed through May 2016 at 60 high-volume clinics in Kenya. Chi square test compared yield (percentage of HIV tests positive) among children tested through family-centered index testing, outpatient and inpatient testing. Review of 1937 index client charts led to 3005 eligible children identified for testing. Of 2848 (94.8%) children tested through family-centered index testing, 127 (4.5%) had HIV diagnosed, 100 (78.7%) were linked to care, and 85 of those eligible (91.4%) initiated antiretroviral therapy (ART).Family testing resulted in higher yield compared to inpatient (1.8%, p < 0.001) or outpatient testing (1.6%, p < 0.001). The absolute number of children living with HIV identified was highest with outpatient testing. The relative contribution of testing approach to total children identified with HIV was outpatient testing (69%), family testing (26%), and inpatient testing (5%). The family testing approach demonstrated promise in achieving the first two "90s" (identification and ART initiation) of the 90-90-90 targets for children, with additional effort required to improve linkage from testing to treatment.

A pseudo-likelihood method for estimating misclassification probabilities in competing-risks settings when true-event data are partially observed.

Outcome misclassification occurs frequently in binary-outcome studies and can result in biased estimation of quantities such as the incidence, prevalence, cause-specific hazards, cumulative incidence functions, and so forth. A number of remedies have been proposed to address the potential misclassification of the outcomes in such data. The majority of these remedies lie in the estimation of misclassification probabilities, which are in turn used to adjust analyses for outcome misclassification. A number of authors advocate using a gold-standard procedure on a sample internal to the study to learn about the extent of the misclassification. With this type of internal validation, the problem of quantifying the misclassification also becomes a missing data problem as, by design, the true outcomes are only ascertained on a subset of the entire study sample. Although, the process of estimating misclassification probabilities appears simple conceptually, the estimation methods proposed so far have several methodological and practical shortcomings. Most methods rely on missing outcome data to be missing completely at random (MCAR), a rather stringent assumption which is unlikely to hold in practice. Some of the existing methods also tend to be computationally-intensive. To address these issues, we propose a computationally-efficient, easy-to-implement, pseudo-likelihood estimator of the misclassification probabilities under a missing at random (MAR) assumption, in studies with an available internal-validation sample. We present the estimator through the lens of studies with competing-risks outcomes, though the estimator extends beyond this setting. We describe the consistency and asymptotic distributional properties of the resulting estimator, and derive a closed-form estimator of its variance. The finite-sample performance of this estimator is evaluated via simulations. Using data from a real-world study with competing-risks outcomes, we illustrate how the proposed method can be used to estimate misclassification probabilities. We also show how the estimated misclassification probabilities can be used in an external study to adjust for possible misclassification bias when modeling cumulative incidence functions.

Nonparametric estimation of the cumulative incidence function under outcome misclassification using external validation data.

Misclassification of outcomes or event types is common in health sciences research and can lead to serious bias when estimating the cumulative incidence functions in settings with competing risks. Recent work has shown how to estimate nonparametric cumulative incidence functions in the presence of nondifferential outcome misclassification when the misclassification probabilities are known. Here, we extend this approach to account for misclassification that is differential with respect to important predictors of the outcome using misclassification probabilities estimated from external validation data. Moreover, we propose a bootstrap approach in which the observations from both the main study data and the external validation study are resampled to allow the uncertainty in the misclassification probabilities to propagate through the analysis into the final confidence intervals, ensuring appropriate confidence interval coverage probabilities. The proposed estimator is shown to be uniformly consistent and simulation studies indicate that both the estimator and the standard error estimation approach perform well in finite samples. The methodology is applied to estimate the cumulative incidence of death and disengagement from HIV care in a large cohort of HIV infected individuals in sub-Saharan Africa, where a significant death underreporting issue leads to outcome misclassification. This analysis uses external validation data from a separate study conducted in the same country.

Correction: Adoption of routine virologic testing and predictors of virologic failure among HIV-infected children on antiretroviral treatment in western Kenya.

[This corrects the article DOI: 10.1371/journal.pone.0200242.].

Adoption of routine virologic testing and predictors of virologic failure among HIV-infected children on antiretroviral treatment in western Kenya.

BACKGROUND: Access to routine virologic monitoring, critical to ensuring treatment success, remains limited in low- and middle-income countries. We report on implementation of routine viral load (VL) monitoring and risk factors for virologic failure among HIV-infected children on antiretroviral treatment (ART) in Western Kenya. METHODS: Routine VL testing was introduced in western Kenya in November 2013. We performed a case-control study among 1190 HIV-infected children ≤15 years on ART who underwent routine VL testing June 2014-May 2015. A random sample of 98 cases (virologic failure define as VL >1000 cps/mL) and 201 controls (VL <1000 cps/mL) from five facilities in three high HIV prevalence counties in Kenya were followed for a minimum of 12 months. Data from patient charts were analyzed using logistic regression to determine factors associated with failure to attain virologic suppression at initial routine and subsequent VL testing among cases. RESULTS: Overall, 1190 (94%) children with a median age of 8 years underwent routine VL testing of whom (37%) had virological failure. Among the 299 cases and controls, WHO stage, baseline CD4 count and time since ART initiation were not associated with virologic failure during the follow-up period. In multivariable analysis, unsuppressed children at initial test were more likely to be male (adjusted Odds Ratio (aOR) 2.1, 95% Confidence Interval (CI) 2.1-3.6) and have had an ART regimen change (aOR 2.0, CI 1.0-3.7) than controls. Of the two-thirds of children 201/299 who had a subsequent VL performed, VL suppression was greater among those suppressed at initial test 126/135 (93.3%) compared to children with virologic failure 15/66 (22.7%, p<0.0001). Among those failing at first test who achieved viral suppression in follow up, 12/15 (80%) were on a protease inhibitor (PI)-based regimen. In the multivariable analysis of children with subsequent VL testing, children on PI-based 2nd line regimens were 10-fold more likely to achieve viral suppression than children on first-line NNRTI-based ART (adjusted Odds Ratio [aOR] 0.1; 95%CI 0.0-0.4). CONCLUSION: Coverage of initial routine viral load testing among children on ART in western Kenya is high. However, subsequent testing and virologic suppression are low in children with virologic failure on initial routine viral load test. There is an urgent need to improve management and viral load monitoring of children living with HIV experiencing treatment failure to ensure improved long-term outcomes.

Factors Associated with Uptake of HIV Test Results in a Nationally Representative Population-Based AIDS Indicator Survey.

Population-based surveys with HIV testing in settings with low testing coverage provide opportunities for participants to learn their HIV status. Survey participants (15-64 years) in a 2007 nationally representative population-based HIV serologic survey in Kenya received a voucher to collect HIV test results at health facilities 6 weeks after blood draw. Logistic regression models were fitted to identify predictors of individual and couple collection of results. Of 15,853 adults consenting to blood draw, 7,222 (46.7%) collected HIV test results (46.5% men, 46.8% women). A third (39.5%) of HIV-infected adults who were unaware of their infection and 48.2% of those who had never been tested learned their HIV status during KAIS. Individual collection of HIV results was associated with older age, with the highest odds among adults aged 60-64 years (adjusted odds ratio [AOR], 1.6, 95% confidence interval [CI] 1.2-2.1); rural residence (AOR 1.8, 95%CI 1.2-2.6); and residence outside Nairobi, with the highest odds in the sparsely populated North Eastern province (AOR 8.0, 95%CI 2.9-21.8). Of 2,685 married/cohabiting couples, 18.5% collected results as a couple. Couples in Eastern province and in the second and middle wealth quintiles were more likely to collect results than those in Nairobi (AOR 3.2, 95%CI 1.1-9.4) and the lowest wealth quintile (second AOR 1.5, 95%CI 1.1-2.3; middle AOR 1.6, 95% CI 1.2-2.3, respectively. Many participants including those living with HIV learned their HIV status in KAIS. Future surveys need to address low uptake of results among youth, urban residents, couples and those with undiagnosed HIV infection.