Virological failure and HIV drug resistance among adults living with HIV on second-line antiretroviral therapy in the Asia-Pacific.

OBJECTIVES: To assess second-line antiretroviral therapy (ART) virological failure and HIV drug resistance-associated mutations (RAMs), in support of third-line regimen planning in Asia. METHODS: Adults > 18 years of age on second-line ART for ≥ 6 months were eligible. Cross-sectional data on HIV viral load (VL) and genotypic resistance testing were collected or testing was conducted between July 2015 and May 2017 at 12 Asia-Pacific sites. Virological failure (VF) was defined as VL > 1000 copies/mL with a second VL > 1000 copies/mL within 3-6 months. FASTA files were submitted to Stanford University HIV Drug Resistance Database and RAMs were compared against the IAS-USA 2019 mutations list. VF risk factors were analysed using logistic regression. RESULTS: Of 1378 patients, 74% were male and 70% acquired HIV through heterosexual exposure. At second-line switch, median [interquartile range (IQR)] age was 37 (32-42) years and median (IQR) CD4 count was 103 (43.5-229.5) cells/µL; 93% received regimens with boosted protease inhibitors (PIs). Median duration on second line was 3 years. Among 101 patients (7%) with VF, CD4 count > 200 cells/µL at switch [odds ratio (OR) = 0.36, 95% confidence interval (CI): 0.17-0.77 vs. CD4 ≤ 50) and HIV exposure through male-male sex (OR = 0.32, 95% CI: 0.17-0.64 vs. heterosexual) or injecting drug use (OR = 0.24, 95% CI: 0.12-0.49) were associated with reduced VF. Of 41 (41%) patients with resistance data, 80% had at least one RAM to nonnucleoside reverse transcriptase inhibitors (NNRTIs), 63% to NRTIs, and 35% to PIs. Of those with PI RAMs, 71% had two or more. CONCLUSIONS: There were low proportions with VF and significant RAMs in our cohort, reflecting the durability of current second-line regimens.

Association of body mass index with immune recovery, virological failure and cardiovascular disease risk among people living with HIV.

OBJECTIVES: We conducted a longitudinal cohort analysis to evaluate the association of pre-treatment body mass index (BMI) with CD4 recovery, virological failure (VF) and cardiovascular risk disease (CVD) markers among people living with HIV (PLHIV). METHODS: Participants who were enrolled between January 2003 and March 2019 in a regional Asia HIV cohort with weight and height measurements prior to antiretroviral therapy (ART) initiation were included. Factors associated with mean CD4 increase were analysed using repeated-measures linear regression. Time to first VF after 6 months on ART and time to first development of CVD risk markers were analysed using Cox regression models. Sensitivity analyses were done adjusting for Asian BMI thresholds. RESULTS: Of 4993 PLHIV (66% male), 62% had pre-treatment BMI in the normal range (18.5-25.0 kg/m2 ), while 26%, 10% and 2% were underweight (< 18.5 kg/m2 ), overweight (25-30 kg/m2) and obese (> 30 kg/m2 ), respectively. Both higher baseline and time-updated BMI were associated with larger CD4 gains compared with normal BMI. After adjusting for Asian BMI thresholds, higher baseline BMIs of 23-27.5 and > 27.5 kg/m2 were associated with larger CD4 increases of 15.6 cells/µL [95% confidence interval (CI): 2.9-28.3] and 28.8 cells/µL (95% CI: 6.6-50.9), respectively, compared with normal BMI (18.5-23 kg/m2 ). PLHIV with BMIs of 25-30 and > 30 kg/m2 were 1.27 times (95% CI: 1.10-1.47) and 1.61 times (95% CI: 1.13-2.24) more likely to develop CVD risk factors. No relationship between pre-treatment BMI and VF was observed. CONCLUSIONS: High pre-treatment BMI was associated with better immune reconstitution and CVD risk factor development in an Asian PLHIV cohort.

Human papillomavirus 16 (HPV16) and HPV52 E6-specific immunity in HIV-infected adults on combination antiretroviral therapy.

OBJECTIVES: Human papillomavirus (HPV)-associated cancers disproportionately affect those infected with HIV despite effective combination antiretroviral therapy (cART). The primary aim of this study was to quantify HPV16 and HPV52 E6-specific interferon (IFN)-γ enzyme-linked immunospot (ELISPOT) T-cell responses, a correlate of protective immunity, in the first year following cART initiation and subsequently in those patients with suboptimal (sIR) and optimal (oIR) immune reconstitution. METHODS: Ninety-four HIV-infected patients were recruited to the study; a longitudinal cohort of patients recruited just prior to commencing cART and followed up for 48 weeks (n = 27), and a cross-sectional cohort (n = 67) consisting of patients with sIR (CD4 T-cell count < 350 cells/µL) and oIR (CD4 T-cell count > 500 cells/µL) after a minimum of 2 years on cART. Controls (n = 29) consisted of HIV-negative individuals. IFN-γ ELISPOT responses against HPV16 and HPV52 E6 were correlated to clinical characteristics, anal and oral HPV carriage, T-cell maturational subsets, markers of activation, senescence and T-regulatory cells. RESULTS: HPV16 and HPV52 E6-specific T-cell responses were detected in only one of 27 patients (3.7%) during the initial phase of immune recovery. After at least 2 years of cART, those who achieved oIR had significantly higher E6-specific responses (9 of 34; 26.5%) compared with those with sIR (2 of 32; 6.3%) (P = 0.029). Apart from higher CD4 T-cell counts and lower CD4 T-cell activation, no other immunological correlates were associated with the detection of HPV16 and HPV52 E6-specific responses. CONCLUSIONS: HPV16 and HPV52 E6-specific IFN-γ T-cell responses, a correlate of protective immunity, were detected more frequently among HIV-infected patients who achieved optimal immune recovery on cART (26.5%) compared with those with suboptimal recovery (6.3%).

Significant Psychosocial Influence in Frail People Living with HIV Independent of Frailty Instrument Used.

BACKGROUND: Antiretroviral therapy (ART) usage among people living with HIV (PLWH) has led to significant mortality declines and increasing lifespan. However, high incidence and early onset of aging-related conditions such as frailty, pose as a new threat to this population. OBJECTIVES: We aimed to characterize frailty by comparing health domains consisting of psychosocial, functional and physical deficits between frail PLWH and matched uninfected controls; identify associated risk factors and the impact on negative health outcomes including mortality risk score, quality of life, healthcare utilization, functional disability and history of falls among virally suppressed PLWH. DESIGN: Cross-sectional study. SETTING: Infectious disease clinic in a tertiary institution. PARTICIPANTS: Individuals aged >25 years, on ART >12 months, not pregnant and without acute illness; multi-ethnic, Asian. MEASUREMENTS: Frailty instruments included Frailty phenotype (FP), FRAIL scale (FS) and Frailty index (FI). FI health deficits were categorized into health domains (psychosocial, functional and physical) and used as standard comparator to characterize frailty. Health domains of frail PLWH were compared with frail matched, uninfected controls. Regression analyses were applied to explore associated risk factors and health-related frailty outcomes. RESULTS: We recruited 336 PLWH. Majority were male (83%), Chinese (71%) with CD4+ count 561 (397-738) cells/µl. Frailty prevalence among PLWH were 7% (FP); 16% (FS) and 22% (FI). Proportions of psychosocial, functional, and physical domains were similarly distributed among frail PLWH measured by different frailty instruments. When compared with matched controls, psychosocial dominance was significant among the PLWH, but not in functional and physical domains. Identified frailty risk factors included poor nutritional status, higher CD4+ count nadir, depression, metabolic syndrome, higher highly sensitive C-reactive protein (hsCRP) and history of AIDS-defining illness (ADI). Frailty influenced the risk for negative health outcomes including increased mortality risk scores, poor quality of life (QOL), frequent healthcare utilization and increased functional disability (p<0.05). CONCLUSIONS: This study highlighted the importance of psychosocial influence in the development of frailty among treated PLWH in a multi-ethnic, Asian setting.