Deterioration of Nutritional Status and Its Negative Association with Depression Among Older HIV-Infected Asian Population: A Four-Year Longitudinal Study.

There is limited evidence about the long-term changes in nutritional status among the elderly people living with human immunodeficiency virus (PLWH). We aimed to investigate the changes in nutritional status and related factors over 4 years in the elderly PLWH. The longitudinal study was conducted prospectively among 250 PLWH, 50 years of age and older, receiving antiretroviral therapy (ART). The Mini Nutritional Assessment (MNA) and Thai Depression Scale (TDS) to assess nutritional status and depression, respectively, were performed at the outpatient clinic both at baseline and 4-year follow-up. Majority were male (60.8%) with median age of 58 years. The median CD4 was 612.5 cells/mm3 and 98% had HIV RNA <50 copies/mL. Median duration of ART was 20 years. Median body mass index was 23.1 kg/m2. The most common ART were rilpivirine (45.2%) and dolutegravir (18.8%). Fifty-one patients (20.4%) deteriorated in nutritional status and mean MNA scores declined (25.8 vs. 24.8, p < .001) at follow-up period. In multivariate analysis, high TDS scores (odds ratio [OR], 1.33; 95% confidence interval [CI], 1.17-1.52), polypharmacy (OR, 1.35; 95% CI, 1.10-1.65), and high-density lipoprotein cholesterol (HDL-C) levels (OR, 1.04; 95% CI, 1.01-1.07) were associated factors of deterioration in nutritional status. In this 4-year longitudinal follow-up, 20% of the aging PLWH have deterioration of nutritional status. High TDS scores (depression), polypharmacy, and high HDL-C were significantly associated with declining nutritional status. Our findings highlight the importance of screening and monitoring nutritional and depression status in routine HIV treatment and care for geriatric HIV-infected population.

Incident Liver Cirrhosis, Associated Factors, and Cardiovascular Disease Risks Among People Living With HIV: A Longitudinal Study.

OBJECTIVES: We investigated the incidence and associated factors of liver cirrhosis and cardiovascular disease risks among people living with HIV (PLHIV) in a Thai cohort. DESIGN: A prospective cohort analysis. METHODS: Participants with at least one reliable transient elastography measurement during follow-up, who had pretreatment alanine transaminase, AST, and platelet count at HIV treatment initiation were included. Liver cirrhosis was defined as AST to Platelet Ratio Index >1.5 or fibrosis-4 (FIB-4) >3.25 or liver stiffness by transient elastography >12.5 kPa and confirmed by imaging or liver biopsy. Competing-risk regression was used to identify factors associated with liver cirrhosis. Time-updated 10-year atherosclerotic CVD (ASCVD) risks were compared between PLHIV with or without liver cirrhosis. RESULTS: A total of 1069 participants (33% women, 9% hepatitis C virus, and 16% hepatitis B virus) with the median age and CD4 at cART initiation of 32 years and 240 cells/mm3 were included. During 8232 person-years, 124 (12%) developed liver cirrhosis after a median of 6.9 (2.4-13.7) follow-up years [incidence, 1.5 (95% confidence interval: 1.3 to 1.8) per 100 person-years]. In multivariable analysis, the factors independently associated with liver cirrhosis were time-updated HIV viremia, hepatitis B virus, and hepatitis C virus coinfection, diabetes mellitus, high-density lipoproteins <40 mg/mL, and d4T exposure. The median time-updated 10-year ASCVD risk score was statistically higher among cirrhotic PLHIV vs. noncirrhosis [4.9% (interquartile range, 2.3-9.7) vs. 2.4% (interquartile range, 1.3-4.9), P < 0.001]. CONCLUSION: PLHIV with metabolic diseases were more likely to develop liver cirrhosis, independent of hepatitis coinfections, and ASCVD risks were higher among cirrhotic individuals.

Higher Proportion of Abnormal Nutritional Status Among Well-Suppressed HIV-Infected Elderly Asians Compared to HIV-Negative Individuals.

Older adults face physiological, psychological, social, and economic changes, which may impair nutritional status, making the body vulnerable to illness and adverse clinical outcomes. Little is known regarding the nutritional status among elderly people living with HIV (PLHIV). We aimed to study the prevalence of malnutrition and the associated factors in a Thai aging cohort. A cross-sectional study was conducted among PLHIV >50 years of age on long-term antiretroviral therapy and HIV-negative controls, frequency matched by sex and age in Bangkok, Thailand. Nutritional status was assessed by the Mini Nutrition Assessment (MNA) tool. Abnormal nutritional status was defined as MNA score <24 (malnutrition and at risk of malnutrition). Body composition was measured by bioelectrical impedance analysis using Body Composition Analyzer. Demographic and disease-related factors were assessed for their association with abnormal nutrition status using multivariable logistic regression. There were 349 PLHIV and 103 HIV-uninfected controls, with median age 55 years. The majority were male (63%) with median body mass index (BMI) of 23.4 kg/m2. PLHIV had lower BMI [median, 23.1 (IQR, 20.8-25.2) vs. 25.3 (22.3-28.7) kg/m2, p < .001], lower fat percent [22.8% vs. 26.3%, p < .001] and lower fat mass [14.2 vs. 16.9 kg, p < .001] and higher abnormal nutritional status (18.05% vs. 6.8%, p = .005) than controls. In the multivariate model, older age (adjusted odds ratio [aOR], 1.06, 95% confident interval [CI]: 1.01-1.12, p = .03), positive HIV status (aOR, 2.67, 95% CI: 1.07-6.65, p = .036), diabetes mellitus (aOR, 2.21, 95% CI: 1.003-4.87, p = .049), lower fat mass (aOR, 0.70, 95%CI: 0.57-0.86, p < .001), and lower BMI (aOR, 0.63, 95% CI: 0.51-0.78, p < .001) were independently associated with abnormal nutritional status. PLHIV had higher risks for abnormal nutritional status compared with HIV-uninfected individuals. Regular screening and monitoring of nutritional status among PLHIV may promote better health outcomes.

New-onset diabetes in HIV-treated adults: predictors, long-term renal and cardiovascular outcomes.

OBJECTIVE: To determine the incidence and risk factors for developing diabetes mellitus in a cohort of Thai HIV-infected patients on long-term combination antiretroviral therapy (cART). DESIGN: Prospective study conducted between July 1996 and 30 April 2015. METHODS: A total of 1748 patients (60% men) who did not have diabetes mellitus prior to ART were assessed twice a year. Incident diabetes mellitus was defined as either having two consecutive fasting glucose levels more than 126 mg/dl, or reporting antidiabetes mellitus medication/diabetes mellitus diagnosis after starting cART. Incidence rates were calculated per 1000 person-year follow-up. Multivariate Cox regression was used to determine risk factors for the development of diabetes mellitus. RESULTS: During a median follow-up of 9 years (16 274 person-year of follow-up), 123 patients developed new-onset diabetes mellitus, resulting in an incidence rate of 7.6 (95% confidence interval 6.3-9) per 1000 person-year of follow-up. From the multivariate models, age more than 35 years, male sex, BMI at least 25 kg/m, family history of diabetes, abnormal waist circumference, lipodystrophy and exposure to didanosine were significantly associated with incident diabetes mellitus. The diabetes mellitus group had higher mortality rate (8.1 vs. 4.1%, P = 0.04). A significantly higher proportion diabetes vs. nondiabetes patients developed cardiovascular and cerebrovascular complications (8.9 vs. 3.6%, P = 0.008) or chronic kidney disease stage III (estimated glomerular filtration rate <60 ml/min/1.73 m) (15.3 vs. 1.9%, P < 0.001) over total follow-up. CONCLUSION: In addition to traditional risk factors, lipodystrophy and use of didanosine were strongly associated with development of incident diabetes. Given the higher rate of cardiovascular-cerebrovascular complications and chronic kidney disease among patients with diabetes mellitus, careful assessment and appropriate management of diabetes mellitus are essential.

Factors associated with daily tenofovir exposure in Thai subjects taking combination antiretroviral therapy.

Tenofovir (TFV) exposure is associated with antiretroviral efficacy and risk of kidney disease. There is evidence of high interindividual variability of the pharmacokinetics of TFV. The effect of several clinical conditions on the pharmacokinetics of TFV has been observed and may partly explain its variability. We assessed factors influencing the pharmacokinetics of TFV in Thai patients. Thirty participants (50% female) taking efavirenz- or ritonavir-boosted protease inhibitor-based regimens were investigated. Intensive pharmacokinetic sampling was performed over 24 h. Multivariate geometric mean regression models adjusted for covariates with p ≤ 0.2 in univariate analysis were developed. The median age was 41 years. Five participants [three taking a protease inhibitor (PI) and two taking efavirenz (EFV)] had mild renal dysfunction [estimated glomerular filtration rate (eGFR) 60-90 ml/min/1.73 m(2); range 72-89]. TFV AUC0-24 was 23% (95% CI 1-49%; p=0.04) higher in those taking PI vs. EFV, 39% (95% CI 5-84%; p=0.02) higher in those with mild renal dysfunction, and reduced by 16% (95% CI 5-26%; p=0.008) with each 10 kg body weight increase, after adjusting for sex and duration of TFV exposure. In PI-treated subjects TFV AUC0-24 increased by 3% (0.3-6%; p=0.03) for each mg·h/liter increase in ritonavir (RTV) AUC0-24 after adjusting for sex, weight, mild renal impairment, and proximal renal tubular dysfunction. Significantly higher TFV exposures were independently associated with PI regimens, mild renal impairment, lower body weight, and increasing RTV AUC0-24. Clinicians should be aware of the effect of these factors on TFV exposure when this drug is prescribed.

Motivational interviewing targeting risk behaviors for youth living with HIV in Thailand.

Healthy Choices, a four-session motivational interviewing-based intervention, reduces risk behaviors among US youth living with HIV (YLWH). We randomized 110 Thai YLWH (16-25 years) to receive either Healthy Choices or time-matched health education (Control) over 12 weeks. Risk behaviors were assessed at baseline, 1, and 6 months post-session. The pilot study was not powered for between-group differences; there were no statistical differences in sexual risks, alcohol use, and antiretroviral adherence between the two groups at any visit. In within-group analyses, Healthy Choices group demonstrated decreases in the proportion of HIV-negative partners (20 vs 8.2%, P = 0.03) and HIV sexual risk scores (4.3 vs 3.3, P = 0.04), and increased trends in the proportion of protected sex (57 vs 76.3%, P = 0.07) from baseline to 1 month post-session. These changes were not sustained 6 months later. No changes were observed in Control group. Healthy Choices has potential to improve sexual risks among Thai YLWH.