Contribution of Behavioral Health Factors to Non-AIDS-Related Comorbidities: an Updated Review

Recommendations for empirical syndemics analyses: A stepwise methodological guide

Syndemic theory posits that co-occurring diseases interact in a manner that increases disease transmission, progression, and negative health outcomes. And that adverse socioeconomic and environmental conditions promote this disease or health condition clustering and interaction. The concept offers two important contributions to the health sciences. First, it positions socioeconomic, structural, and environmental conditions as central to disease burdens. Second, as a portmanteau - 'syn' for synergy and 'demic' for disease epidemics - syndemic theory indicates that in some cases diseases do not merely co-occur but synergistically interact to affect an outcome that is more than the accumulation of the individual disease effects. The difficulty in operationalizing these central elements has resulted in a divergence of scholarship from the centralizing principles of the theory towards a simpler accumulation perspective in which more conditions equate to worse health outcomes. In addition, all empirical syndemic assessments should include robust qualitative assessments of the dynamics, however, much syndemic scholarship focuses only on quantitative analyses. To address these issues, a five-step approach to quantitative analyses of syndemic arrangements is proposed: (1) identifying disease clusters within a defined population; (2) determining the relevant social and structural factors that support disease clustering; (3) determining if clusters are distinct by social/demographic groups within the population; (4) evaluating if the identified disease cluster contributes to worse health outcomes; and (5) assessing for synergy between clustering diseases. This stepwise strategy ensures not only a rigorous assessment of hypothesized syndemic interactions but also presents a closer alignment of scholarship with syndemics theory. As an illustration, the approach is applied to an assessment of a hypothesized HIV/cardiovascular disease syndemic in South Africa. While syndemics theory has proven valuable in guiding public health interventions and policy, progressive improvement must be made in the application of the theory to ensure that it continues to effectively inform comprehensive practice.

Psychosocial Syndemic Classes and Longitudinal Transition Patterns Among Sexual Minority men Living with or Without HIV in the Multicenter AIDS Cohort Study (MACS)

Mental health and substance use epidemics interact to create psychosocial syndemics, accelerating poor health outcomes. Using latent class and latent transition analyses, we identified psychosocial syndemic phenotypes and their longitudinal transition pathways among sexual minority men (SMM) in the Multicenter AIDS Cohort Study (MACS, n = 3,384, mean age 44, 29% non-Hispanic Black, 51% with HIV). Self-reported depressive symptoms and substance use indices (i.e., smoking, hazardous drinking, marijuana, stimulant, and popper use) at the index visit, 3-year and 6-year follow-up were used to model psychosocial syndemics. Four latent classes were identified: "poly-behavioral" (19.4%), "smoking and depression" (21.7%), "illicit drug use" (13.8%), and "no conditions" (45.1%). Across all classes, over 80% of SMM remained in that same class over the follow-ups. SMM who experienced certain psychosocial clusters (e.g., illicit drug use) were less likely to transition to a less complex class. These people could benefit from targeted public health intervention and greater access to treatment resources.

Association of CD4 + cell count and HIV viral load with risk of non-AIDS-defining cancers

OBJECTIVES

HIV-induced immunodeficiency contributes to an increased risk of non-AIDS-defining cancers (NADC). This study aims to identify the most predictive viral load (VL) or CD4 + measures of NADC risk among people with HIV (PWH).

DESIGN

Extracted from South Carolina electronic HIV reporting system, we studied adult PWH who were cancer-free at baseline and had at least 6 months of follow-up since HIV diagnosis between January 2005 and December 2020.

METHODS

Using multiple proportional hazards models, risk of NADC was investigated in relation to 12 measures of VL and CD4 + cell count at three different time intervals before NADC diagnosis. The best VL/CD4 + predictor(s) and final model were determined using Akaike's information criterion.

RESULTS

Among 10 413 eligible PWH, 449 (4.31%) developed at least one type of NADC. After adjusting for potential confounders, the best predictors of NADC were the proportion of days with viral suppression (hazard ratio [HR]: 0.47 (>25% and ≤50% vs. 0), 95% confidence interval [CI]: [0.28, 0.79]) and proportion of days with low CD4 + cell count (AIC = 7201.35) (HR: 12.28 (>75% vs. = 0), 95% CI: [9.29, 16.23]).

CONCLUSIONS

VL and CD4 + measures are strongly associated with risk of NADC. In analyses examining three time windows, proportion of days with low CD4 + cell count was the best CD4 + predictor for each time window. However, the best VL predictor varied across time windows. Thus, using the best combination of VL and CD4 + measures for a specific time window should be considered when predicting NADC risk.

Immune profiling in Puerto Rican injection drug users with and without HIV-1 infection

Antiretroviral therapy has been effective in suppressing HIV viral load and enabling people living with HIV to experience longer, more conventional lives. However, as people living with HIV are living longer, they are developing aging-related diseases prematurely and are more susceptible to comorbidities that have been linked to chronic inflammation. Coincident with HIV infection and aging, drug abuse has also been independently associated with gut dysbiosis, microbial translocation, and inflammation. Here, we hypothesized that injection drug use would exacerbate HIV-induced immune activation and inflammation, thereby intensifying immune dysfunction. We recruited 50 individuals not using injection drugs (36/50 HIV+) and 47 people who inject drugs (PWID, 12/47 HIV+). All but 3 of the HIV+ subjects were on antiretroviral therapy. Plasma immune profiles were characterized by immunoproteomics, and cellular immunophenotypes were assessed using mass cytometry. The immune profiles of HIV+/PWID-, HIV-/PWID+, and HIV+/PWID+ were each significantly different from controls; however, few differences between these groups were detected, and only 3 inflammatory mediators and 2 immune cell populations demonstrated a combinatorial effect of injection drug use and HIV infection. In conclusion, a comprehensive analysis of inflammatory mediators and cell immunophenotypes revealed remarkably similar patterns of immune dysfunction in HIV-infected individuals and in people who inject drugs with and without HIV-1 infection.

Excess cancer prevalence in men with HIV: A nationwide analysis of Medicaid data

BACKGROUND

Cancer is one of the most common comorbidities in men living with HIV (MLWH). However, little is known about the MLWH subgroups with the highest cancer burden to which cancer prevention efforts should be targeted. Because Medicaid is the most important source of insurance for MLWH, we evaluated the excess cancer prevalence in MLWH on Medicaid relative to their non-HIV counterparts.

METHODS

In this cross-sectional study using 2012 Medicaid Analytic eXtract data nationwide, we flagged the presence of HIV, 13 types of cancer, symptomatic HIV, and viral coinfections using codes from the International Classification of Diseases, Ninth Revision, Clinical Modification. The study population included individuals administratively noted to be of male sex (men), aged 18 to 64 years, with (n = 82,495) or without (n = 7,302,523) HIV. We developed log-binomial models with cancer as the outcome stratified by symptomatic status, age, and race/ethnicity.

RESULTS

Cancer prevalence was higher in MLWH than in men without HIV (adjusted prevalence ratio [APR], 1.84; 95% confidence interval [CI], 1.78-1.90) and was higher among those with symptomatic HIV (APR, 2.74; 95% CI, 2.52-2.97) than among those with asymptomatic HIV (APR, 1.73; 95% CI, 1.67-1.79). The highest APRs were observed for anal cancer in younger men, both in the symptomatic and asymptomatic groups: APR, 312.97; 95% CI, 210.27-465.84, and APR, 482.26; 95% CI, 390.67-595.32, respectively. In race/ethnicity strata, the highest APRs were among Hispanic men for anal cancer (APR, 198.53; 95% CI, 144.54-272.68) and for lymphoma (APR, 9.10; 95% CI, 7.80-10.63).

CONCLUSIONS

Given the Medicaid program's role in insuring MLWH, the current findings highlight the importance of the program's efforts to promote healthy behaviors and vaccination against human papillomavirus in all children and adolescents and to provide individualized cancer screening for MLWH.

Association of Syndemic Unhealthy Alcohol Use, Smoking, and Depressive Symptoms on Incident Cardiovascular Disease among Veterans With and Without HIV-Infection

Unhealthy alcohol use, smoking, and depressive symptoms are risk factors for cardiovascular disease (CVD). Little is known about their co-occurrence - termed a syndemic, defined as the synergistic effect of two or more conditions-on CVD risk in people with HIV (PWH). We used data from 5621 CVD-free participants (51% PWH) in the Veteran's Aging Cohort Study-8, a prospective, observational study of veterans followed from 2002 to 2014 to assess the association between this syndemic and incident CVD by HIV status. Diagnostic codes identified cases of CVD (acute myocardial infarction, stroke, heart failure, peripheral artery disease, and coronary revascularization). Validated measures of alcohol use, smoking, and depressive symptoms were used. Baseline number of syndemic conditions was categorized (0, 1, ≥ 2 conditions). Multivariable Cox Proportional Hazards regressions estimated risk of the syndemic (≥ 2 conditions) on incident CVD by HIV-status. There were 1149 cases of incident CVD (52% PWH) during the follow-up (median 10.1 years). Of the total sample, 64% met our syndemic definition. The syndemic was associated with greater risk for incident CVD among PWH (Hazard Ratio [HR] 1.87 [1.47-2.38], p < 0.001) and HIV-negative veterans (HR 1.70 [1.35-2.13], p < 0.001), compared to HIV-negative with zero conditions. Among those with the syndemic, CVD risk was not statistically significantly higher among PWH vs. HIV-negative (HR 1.10 [0.89, 1.37], p = .38). Given the high prevalence of this syndemic combined with excess risk of CVD, these findings support linked-screening and treatment efforts.

Differences in Multimorbidity among Cisgender Sexual Minority and Heterosexual Adults: Investigating Differences across Age-Groups

Objectives: Despite increased risk for chronic disease, there is limited research that has examined disparities in multimorbidity among sexual minority adults and whether these disparities differ by age. Methods: Data were from the 2014-2018 Behavioral Risk Factor Surveillance System. We used sex-stratified multinomial logistic regression to examine differences in multimorbidity between sexual minority and heterosexual cisgender adults and whether hypothesized differences varied across age-groups. Results: The sample included 687,151 adults. Gay, lesbian, and bisexual adults had higher odds of meeting criteria for multimorbidity than same-sex heterosexual adults. These disparities were greater among sexual minority adults under the age of 50 years. Only other non-heterosexual men over the age of 50 years and lesbian women over the age of 80 years were less likely to have multimorbidity than their same-sex heterosexual counterparts. Discussion: Health promotion interventions to reduce adverse health outcomes among sexual minorities across the life span are needed.

The relationship of smoking and unhealthy alcohol use to the HIV care continuum among people with HIV in an integrated health care system

INTRODUCTION

Smoking tobacco and unhealthy alcohol use may negatively influence HIV care continuum outcomes but have not been examined in combination.

METHODS

Participants were people with HIV (PWH) in Kaiser Permanente Northern California. Predictors included smoking status and unhealthy alcohol use (exceeding daily and/or weekly limits) reported by patients during primary care screening (index date). Outcomes were based on not achieving the following steps in the care continuum: linkage to HIV care (≥1 visit within 90 days of newly identified HIV diagnosis), retention (2+ in-person visits, 60+ days apart) and HIV RNA control (<75 copies/mL). Adjusted odds ratios (ORs) were obtained from separate logistic regression models for each outcome associated with smoking and unhealthy alcohol use independently and combined.

RESULTS

The overall sample (N = 8958) had a mean age of 48.0 years; was 91.3 % male; 54.0 % white, 17.6 % Latino, 15.1 % black, and 9.6 % other race/ethnicity. Smoking was associated with higher odds of not being linked to HIV care (OR = 1.60 [95 % CI 1.03-2.48]), not retained (OR = 1.30 [95 % CI 1.13-1.50]), and HIV RNA not in control (OR = 1.91 [95 % CI 1.60-2.27]). Alcohol measures were not independently associated with outcomes. The combination of unhealthy alcohol use and smoking (versus neither) was associated with higher odds of not being linked to care (OR = 2.83 [95 % CI 1.40-5.71]), although the interaction did not reach significance (p = 0.18).

CONCLUSIONS

In this large sample of PWH in an integrated health care system, smoking, both independently and in combination with unhealthy alcohol use, was associated with worse HIV care continuum outcomes.

Brain-derived neurotrophic factor (BDNF) is associated with depressive symptoms in older adults with HIV disease

Symptoms of depression are common among persons with HIV (PWH) and can have a significant impact on socioeconomic and personal well-being, but little is known about their neurobiological substrates in the context of HIV disease. This study examined the possible role of brain-derived neurotrophic factor (BDNF) in symptoms of depression and other aspects of mood in 109 PWH and 43 seronegative participants aged 50 and older. Participants completed the Profile of Mood States (POMS) which measured six dimensions of mood and was normatively adjusted for sex. A model controlling for medical comorbidities and substance use diagnoses among PWH showed a significant interaction between BDNF and POMS subscales. Planned post hoc analyses revealed that lower BDNF was only associated with higher scores on Depression-Dejection and Confusion-Bewilderment POMS subscales among PWH and at small-to-medium effect sizes. Lower levels of BDNF were associated with AIDS diagnoses and CD4 count, but not with viremia or duration of infection. BDNF levels did not differ between the PWH and HIV - samples, and there were no significant correlations between BDNF and any POMS variable in the HIV - group. Findings implicate BDNF in the neuropathophysiology of specific depressive symptoms in the context of HIV disease. Future studies may examine whether BDNF levels change over time, are sensitive to other aspects of mood disorders in HIV, and are associated with markers of HIV-associated neural injury.