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Osteoporosis is common in human immunodeficiency virus (HIV)—infected persons. The etiology of osteoporosis in HIV-infected patients is likely multifactorial, involving traditional risk factors such as low body weight, hypogonadism, and smoking, as well as direct effects of chronic HIV infection and antiretroviral therapy. Emerging evidence suggests that the increasing prevalence of osteoporosis in HIV-infected persons translates into a higher risk of fracture, likely leading to excess morbidity and mortality as the HIV-infected population ages. This review addresses the epidemiology of osteoporosis, discusses the causes of low bone mineral density in HIV-infected persons, including the impact of specific antiretroviral therapies, and offers recommendations on screening and treating vitamin D deficiency and osteoporosis.

Background. Fat gain after antiretroviral therapy (ART) occurs, and its association with protease inhibitors (PIs) is unclear. Methods. Peripheral and central fat depots and lean mass were measured using standardized and centrally read abdominal CT scans and whole-body dual-energy absorptiometry scans over a 96-week period in human immunodeficiency virus (HIV)–infected treatment-naive participants. The patients were randomized to tenofovir-emtricitabine (TDF/FTC) plus atazanavir-ritonavir (ATV/r), darunavir-ritonavir (DRV/r), or raltegravir (RAL) in ACTG A5260s, a substudy of A5257. Within arm changes were assessed with signed-rank tests. The 96-week percentage changes in fat and lean mass in the 2 PI arms were not different, thus the PI arms were combined and compared to the RAL arm. Associations between baseline biomarkers and changes in body composition were assessed. All analyses used linear regression models. Results. 328 patients were randomized (90% male, 44% white non-Hispanic). The median age was 36 years, HIV-1 RNA 4.6 log 10 copies/mL, and CD4 349 cells/μL. Overall, at week 96, increases in limb fat (13.4%), subcutaneous (19.9%) and visceral abdominal fat (25.8%), trunk fat (18%), and lean mass (1.8%) were apparent (P< .001 for changes within each arm). Changes for all fat and lean outcomes were not different between the PI arms or between the RAL and the combined PI arms. Higher baseline HIV-1 RNA levels were associated with greater gains in peripheral and central fat. Conclusions. In treatment-naive participants initiating ART with TDF/FTC, no differences in lean mass and regional fat were found with RAL when compared with ATV/r or DRV/r over 96 weeks. Clinical Trials Registration. NCT00811954 and NCT00851799.

Frailty is associated with morbidity and premature mortality among elderly HIV-uninfected adults, but the determinants and consequences of frailty in HIV-infected populations remain unclear. We evaluated the correlates of frailty, and the impact of frailty on mortality in a cohort of aging injection drug users (IDUs). Frailty was assessed using standard criteria among HIV-infected and uninfected IDUs in 6-month intervals from 2005 to 2008. Generalized linear mixed-model analyses assessed correlates of frailty. Cox proportional hazards models estimated risk for all-cause mortality. Of 1230 participants at baseline, the median age was 48 years and 29% were HIV-infected; the frailty prevalence was 12.3%. In multivariable analysis of 3,365 frailty measures, HIV-infected IDUs had an increased likelihood of frailty (OR, 1.66; 95% CI, 1.24-2.21) compared to HIV-uninfected IDUs; the association was strongest (OR, 2.37; 95% CI, 1.62-3.48) among HIV-infected IDUs with advanced HIV disease (CD4<350 cells/mm3 and detectable HIV RNA). No significant association was seen with less advanced disease. Sociodemographic factors, comorbidity, depressive symptoms, and prescription drug abuse were also independently associated with frailty. Mortality risk was increased with frailty alone (HR 2.63, 95% CI, 1.23-5.66), HIV infection alone (HR 3.29, 95% CI, 1.85-5.88), and being both HIV-infected and frail (HR, 7.06; 95%CI 3.49-14.3). Frailty was strongly associated with advanced HIV disease, but IDUs with well-controlled HIV had a similar prevalence to HIV-uninfected IDUs. Frailty was independently associated with mortality, with a marked increase in mortality risk for IDUs with both frailty and HIV infection.

OBJECTIVE: To determine whether systemic inflammation after initiation of HIV-antiretroviral therapy (ART) is associated with the development of diabetes. RESEARCH DESIGN AND METHODS: We conducted a nested case-control study, comparing 55 previously ART-naive individuals who developed diabetes 48 weeks after ART initiation (case subjects) with 55 individuals who did not develop diabetes during a comparable follow-up (control subjects), matched on baseline BMI and race/ethnicity. Stored plasma samples at treatment initiation (week 0) and 1 year later (week 48) were assayed for levels of high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6), and the soluble receptors of tumor necrosis factor-α (sTNFR1 and sTNFR2). RESULTS: Case subjects were older than control subjects (median age 41 vs. 37 years, P = 0.001), but the groups were otherwise comparable. Median levels for all markers, except hs-CRP, decreased from week 0 to week 48. Subjects with higher levels of hs-CRP, sTNFR1, and sTNFR2 at 48 weeks had an increased odds of subsequent diabetes, after adjustment for baseline marker level, age, BMI at week 48, CD4 count at week 48 (< vs. >200 cells/mm³), and indinavir use (all Ptrend [less-than or equal to] 0.05). After further adjustment for week 48 glucose, effects were attenuated and only sTNFR1 remained significant (odds ratio, highest quartile vs. lowest 23.2 [95% CI 1.28-423], P = 0.03). CONCLUSIONS: Inflammatory markers 48 weeks after ART initiation were associated with increased risk of diabetes. These findings suggest that systemic inflammation may contribute to diabetes pathogenesis among HIV-infected patients.

People living with HIV are at higher risk of heart failure and associated left atrial remodeling compared to people without HIV. Mechanisms are unclear but have been linked to inflammation and premature aging. Here we obtain plasma proteomics concurrently with cardiac magnetic resonance imaging in two independent study populations to identify parallels between HIV-related and aging-related immune dysfunction that could contribute to atrial remodeling and clinical heart failure. We discover a plasma proteomic signature that may in part reflect or contribute to HIV-associated atrial remodeling, many features of which are associated with older age and time to incident heart failure among an independent community-based cohort without HIV. This proteomic profile was statistically enriched for immune checkpoint proteins, tumor necrosis factor signaling, ephrin signaling, and extracellular matrix organization, identifying possible shared pathways in HIV and aging that may contribute to risk of heart failure. Mechanisms underlying excess risk of heart failure among people with HIV are unclear. Here, the authors identify a proteomic signature enriched in immune activation and extracellular matrix remodeling that may reflect shared pathways in HIV and aging that contribute to risk of heart failure.

Chronic hepatitis C virus (HCV) infection has been associated with osteoporosis and fragility fracture, which may be mediated by increased systemic inflammation, especially in HIV-HCV co-infection. Treatment with direct-acting antivirals (DAA) eradicates HCV and decreases inflammation, but the impact on bone parameters has not been studied. We recruited individuals with HCV infection with and without HIV co-infection who initiated DAA, and a demographically matched reference group without HIV or HCV, on whom dual-energy X-ray absorptiometry (DXA) scans were performed at baseline. All participants with HCV who displayed sustained virologic response were included and underwent a follow up visit with DXA between 52 and 134 weeks after baseline to measure bone mineral density at the lumbar spine (LS), femoral neck (FN), and total hip (TH), as well as the trabecular bone score (TBS), a bone quality measure. Bone turnover markers (BTM) and inflammatory biomarkers were also measured at baseline and the follow-up visit. We compared the change in inflammatory biomarkers and bone outcomes over time between the groups. The group with HCV (41 mono-infected, 18 people with HIV/HCV co-infection) had a median age of 54 years; 61% were male and 76% were African American. Population characteristics were similar in the reference group (n=53). At baseline, soluble receptor for TNFα 1 and 2 (sTNFR-1/sTNFR-2) and sCD163 concentrations, but not interleukin-6, were higher in participants with HCV infection compared to the reference group. After a median follow-up period of 60 weeks, HCV cure was associated with decreases in sTNFR1, sTNFR2 and sCD163 concentrations. However, we observed no statistically significant changes in BMD, TBS or BTM after HCV treatment compared to the reference population. Among those with HCV, participants with HIV co-infection showed a significant increase in the bone formation marker P1NP (p<0.007) and trends toward greater increases in LS and TH BMD (p<0.08 for both) after HCV cure. HCV cure using DAA was associated with a decrease in systemic inflammation without changes in bone parameters. The significant increase in bone formation markers observed in HIV/HCV co-infected individuals suggests potential bone recovery in this high-risk group, warranting investigation in larger long-term studies.

Skeletal muscle wasting, or sarcopenia, affects a significant proportion of patients undergoing transcatheter aortic valve replacement (TAVR). However, its influence on post-TAVR recovery and 1-year health-related quality of life (HR-QOL) remains unknown. We examined the relationship between skeletal muscle index (SMI), post-TAVR length of hospital stay (LOS), and 1-year QOL. The study sample consisted of 300 consecutive patients undergoing TAVR from 2012 to 2018 who had pre-TAVR computed tomographic scans suitable for analysis of body composition. Skeletal muscle mass was quantified as cm2 of skeletal mass per m2 of body surface area from the cross-sectional computed tomographic image at the third lumbar vertebra. Sarcopenia was defined using established sex-specific cutoffs (women: SMI < 39 cm2/m2; men: < 55 cm2/m2). Multivariable linear regression analysis was used to determine the relationship between SMI, LOS, and HR-QOL using the Kansas City Cardiomyopathy Questionnaire. Sarcopenia was present in most (59%) patients and associated with older age (82 vs 76 years; P < .001) and lower body mass index (27 vs 33 kg/m2; P < .001). There were no other differences in baseline clinical or echocardiographic characteristics among the 4 quartiles of SMI. SMI was positively correlated with LOS and 1-year QOL. After adjusting for age, gender, race, and body mass index, SMI remained a significant predictor of both LOS (P = .01) and 1-year QOL (P = .012). For every 10 cm2/m2 higher SMI, there was an 8-point increase in Kansas City Cardiomyopathy Questionnaire score, a difference that is clinically meaningful. Sarcopenia is prevalent in TAVR patients. Higher SMI is associated with shorter LOS and better 1-year HR-QOL. To achieve optimal TAVR benefits, further study into how body composition influences post-TAVR recovery and durable improvement in QOL is warranted.

Here, we describe vision health in aging adults living with HIV (PLWH) and comparable people without HIV (PWOH) from the MACS/WIHS Combined Cohort Study (MWCCS). PLWH and PWOH aged 60 years and older were recruited from Baltimore/Washington, DC, from September 2021 to September 2023. Exact matching and sample weights were used to create age-balanced comparisons. Visual impairment (VA worse than 20/40 after refraction or CS worse than 1.50 logCS in the better eye) and the presence of eye pathology were assessed. We studied 74 PLWH (97% virally suppressed) and 65 PWOH, aged 61 to 79 years, 36% Black, and 87% male. For PLWH and PWOH, distance VA impairment was noted in 4% vs. 1%, respectively, and uncorrected refractive error in 15% vs. 5%. More than half had signs of dry eye disease (63% for PLWH and 51% for PWOH). About half of PLWH had developed at least an early stage of cataract, compared to 20% of PWOH. Posterior chamber abnormalities were observed in 4% and 0%, and glaucomatous changes in 19% and 25% of PLWH and PWOH, respectively. The need for eyecare was high among this sample of PLWH with viral suppression and PWOH.

Background An increased risk of diabetes mellitus (DM) after COVID-19 has been reported in the United States, Europe, and Asia. The burden of COVID-related DM has yet to be described in Africa, where the overall risk of DM has been increasing rapidly. Our objective was to compare the prevalence of pre-DM and DM in Nigerian individuals with a history of COVID-19 to individuals without known COVID-19 infection. Methods We undertook a retrospective cohort study with 256 individuals with a past medical history of COVID-19 with no history of pre-DM or DM and 256 individuals without a history of COVID-19 or pre-DM/DM. Participants were categorized as pre-DM (fasting capillary glucose 100–125 mg/dL) or DM (fasting capillary glucose ≥ 126 mg/dL). We employed univariate and multivariable logistic regression to identify key predictors and adjust for confounders related to hyperglycaemia risk factors. Additionally, we used multinomial logistic regression to analyze the relationship between COVID-19 history and diabetes status, distinguishing between normal, pre-diabetic, and diabetic glucose levels. All models were adjusted for age, gender, hypertension, physical activity, central adiposity, and family history of DM. Results Compared to the control group, those with a history of COVID-19 had a similar median age (38 vs. 40 years, p  = 0.84), had a higher proportion of men (63% vs. 49%), and had a lower prevalence of central adiposity (waist: hip ratio ≥ 0.90 for males and WHR ≥ 0.85 for females) (48% vs. 56.3%, p  = 0.06). Of the 256 with a history of COVID-19, 44 (17%) required in-patient care. The median (interquartile range) time interval between COVID-19 diagnosis and the glycaemic assessment was 19 (IQR: 14, 24) months. Pre-DM prevalence was 27% in the post-COVID-19 group and 4% in the control group, whereas the prevalence of DM was 7% in the post-COVID-19 group and 2% in the control group. After multivariable adjustment, the odds of pre-DM were 8.12 (95% confidence interval (CI): 3.98, 16.58; p  < 0.001) higher, and the odds of DM were 3.97 (95% CI: 1.16, 13.63) higher in those with a history of COVID-19 compared to controls. In the adjusted multinomial logistic regression analysis, individuals with a history of COVID-19 exhibited significantly elevated risks for pre-diabetes (RRR = 7.55, 95% CI: 3.76–15.17) and diabetes (RRR = 3.44, 95% CI: 1.01–11.71) compared to those without COVID-19. Conclusion Previous COVID-19 was found to be a risk factor for prevalent pre-diabetes and diabetes mellitus in Nigeria. More intensive screening for DM in those with a history of COVID-19 should be considered.

Lower muscle density on computed tomography (CT) provides a measure of fatty infiltration of muscle, an aspect of muscle quality that has been associated with metabolic abnormalities, weakness, decreased mobility, and increased fracture risk in older adults. We assessed the cross-sectional relationship between HIV serostatus, age, thigh muscle attenuation, and thigh muscle cross-sectional area (CSA). Mean CT-quantified Hounsfield units (HU) of the thigh muscle bundle and CSA were evaluated in 368 HIV-infected and 145 HIV-uninfected men enrolled in the Multicenter AIDS Cohort Study (MACS) Cardiovascular Substudy using multivariable linear regression. Models all were adjusted for HIV serostatus, age, race, and body mass index (BMI); each model was further adjusted for covariates that differed by HIV serostatus, including insulin resistance, hepatitis C, malignancy, smoking, alcohol use, and self-reported limitation in physical activity. HIV-infected men had greater thigh muscle CSA (p<0.001) but lower muscle density (p<0.001) compared to HIV-uninfected men. Muscle density remained lower in HIV-infected men (p = 0.001) when abdominal visceral adiposity, and thigh subcutaneous adipose tissue area were substituted for BMI in a multivariable model. Muscle density decreased by 0.16 HU per year (p<0.001) of increasing age among the HIV-infected men, but not in the HIV-uninfected men (HIV x age interaction -0.20 HU; p = 0.002). HIV-infected men had lower thigh muscle density compared to HIV-uninfected men, and a more pronounced decline with increasing age, indicative of greater fatty infiltration. These findings suggest that lower muscle quality among HIV-infected persons may be a risk factor for impairments in physical function with aging.