Task Shifting for Scale-up of HIV Care: Evaluation of Nurse-Centered Antiretroviral Treatment at Rural Health Centers in Rwanda

Fabienne Shumbusho and colleagues evaluate a task-shifting model of nurse-centered antiretroviral treatment prescribing in rural primary health centers in Rwanda and find that nurses can effectively and safely prescribe ART when given adequate training, mentoring, and support

Metabolic causes of liver disease among adults living with HIV from low- and middle-income countries: a cross-sectional study.

INTRODUCTION Liver disease is a leading cause of morbidity and mortality among persons living with HIV (PLHIV). While chronic viral hepatitis has been extensively studied in low- and middle-income countries (LMICs), there is limited information about the burden of metabolic disorders on liver disease in PLHIV. METHODS We conducted a cross-sectional analysis of baseline data collected between October 2020 and July 2022 from the IeDEA-Sentinel Research Network, a prospective cohort enrolling PLHIV ≥40 years on antiretroviral treatment (ART) for ≥6 months from eight clinics in Asia, Americas, and central, East, southern and West Africa. Clinical assessments, laboratory testing on fasting blood samples and liver stiffness measurement (LSM)/controlled attenuation parameter (CAP) by vibration-controlled transient elastography were performed. Multivariable logistic regression models assessed factors associated with liver fibrosis (LSM ≥7.1 kPa) and steatosis (CAP ≥248 dB/m). Population attributable fraction (PAF) of each variable associated with significant liver fibrosis was estimated using Levin's formula. RESULTS Overall, 2120 PLHIV (56% female, median age 50 [interquartile range: 45-56] years) were included. The prevalence of obesity was 19%, 12% had type 2 diabetes mellitus (T2DM), 29% had hypertension and 53% had dyslipidaemia. The overall prevalence of liver fibrosis and steatosis was 7.6% (95% confidence interval [CI] 6.1-8.4) and 28.4% (95% CI 26.5-30.7), respectively, with regional variability. Male sex at birth (odds ratio [OR] 1.62, CI 1.10-2.40), overweight/obesity (OR = 2.50, 95% CI 1.69-3.75), T2DM (OR 2.26, 95% CI 1.46-3.47) and prolonged exposure to didanosine (OR 3.13, 95% CI 1.46-6.49) were associated with liver fibrosis. Overweight/obesity and T2DM accounted for 42% and 11% of the PAF for liver fibrosis, while HBsAg and anti-HCV accounted for 3% and 1%, respectively. Factors associated with steatosis included overweight/obesity (OR 4.25, 95% CI 3.29-5.51), T2DM (OR 2.06, 95% CI 1.47-2.88), prolonged exposure to stavudine (OR 1.69, 95% CI 1.27-2.26) and dyslipidaemia (OR 1.68, 95% CI 1.31-2.16). CONCLUSIONS Metabolic disorders were significant risk factors for liver disease among PLHIV in LMICs. Early recognition of metabolic disorders risk factors might be helpful to guide clinical and lifestyle interventions. Further prospective studies are needed to determine the causative natures of these findings

Model-estimated mean change in CD4 cell count and weight after initiation of ART, by baseline WHO stage (<i>n</i> = 404).

<p>Models also control for site, age, gender, and ART regimen (AZT-containing and/or NVP-containing). CD4 model also controls for baseline weight, dichotomized at the gender-specific median. Excludes 30 patients who either died or were transferred prior to the 6-mo visit/measurement.</p

Kaplan-Meier plot showing retention into care for the 435 patients started on treatment.

<p>Kaplan-Meier plot showing retention into care for the 435 patients started on treatment.</p

Demographic and clinical characteristics of patients enrolled into the pilot study.

<p>Data reported as either frequency (percent) or as median (IQR).</p

Correctness of eligibility assessment and completeness of patient record at intake and during follow-up of patients started on antiretroviral treatment (<i>n</i> = 1,076).

a<p><i>n</i> = 435 unless stated otherwise.</p>b<p>Only for female patients (date of last menstrual periods, contraceptive use; pregnancy and breastfeeding status); considered complete if all questions adequately addressed.</p>c<p>Eligibility could not be determined for three patients since baseline WHO stage or CD4 count not documented.</p>d<p>Only considering patients starting ART at least 1 mo prior to data collection.</p>e<p>Excluding one site where data on adherence were recorded differently.</p>f<p>Within 3 mo of the time point.</p

Training and supervision activities within the pilot project.

a<p>Given the shortage of MDs at one district hospital, the FHI MD temporarily functioned as the district MD at two intervention sites.</p><p>OI, opportunistic infections.</p

Kaplan-Meier plots showing mortality of 435 patients after initiation of ART by baseline WHO clinical stage (left) and CD4 cell count (right).

<p>Kaplan-Meier plots showing mortality of 435 patients after initiation of ART by baseline WHO clinical stage (left) and CD4 cell count (right).</p

Time to complete hepatitis C cascade of care among patients identified during mass screening campaigns in rural Rwanda: a retrospective cohort study

Background Since the discovery of direct-acting antivirals, treatment for hepatitis C virus (HCV) is increasingly accessible in low-resource settings, but quality of care in these settings is not known. We described progression through the cascade of care among individuals who screened positive for HCV antibodies during a mass screening campaign in Kirehe and Kayonza, two rural Rwandan districts, in September 2019. Methods This retrospective cohort study used routine clinical data to assess proportions of participants completing each stage of the cascade of care, including: (a) screening positive on rapid diagnostic test; (b) return of initial viral load results; (c) detectable viral load; (d) treatment assessment; (e) treatment initiation; (f) return of sustained virological response (SVR12) results; and (g) achieving SVR12. We proposed three indicators to assess timely care provision and used medians and interquartile ranges (IQR) to describe the time to complete the cascade of care. Results Overall, 666 participants screened HCV positive, among them, 452 (68.1%) were female and median age was 61 years (IQR: 47, 70). Viral load results were returned for 537 (80.6%) participants of whom 448 (83.4%) had detectable viral loads. Of these, 398 (88.8%) were assessed for treatment, 394 (99%) were initiated, but only 222 (56.3%) had results returned for SVR12. Among those with SVR12 results, 208 (93.7%) achieved SVR12. When assessing timely care provision, we found 65.9% (95% CI: 62.0, 69.7) of initial viral load results were returned ≤ 30 days of screening; 45% (95% CI: 40.1, 49.8) of people with detectable viral load completed treatment assessment ≤ 90 days of initial viral load results; and 12.5% (95% CI: 9.2, 16.3) of SVR12 results were returned ≤ 210 days of treatment initiation among those who initiated treatment. The overall median time from screening to SVR12 assessment was 437 days. Conclusion Despite high rates of SVR12 among those who completed all stages of the cascade of care, we identified gaps and delays in the treatment cascade. Improving communication between viral load testing hubs and health facilities could reduce the turn-around time for viral load testing, and actively monitor timeliness of care provision could improve quality of HCV care.Medicine, Faculty ofNon UBCPopulation and Public Health (SPPH), School ofReviewedFacultyResearche