Abstract
Background:
HIV is an independent risk factor for heart failure (HF). However, the association of HIV severity with incident HF, and the potential interaction with sex, are incompletely understood.
Setting:
Integrated healthcare system
Methods:
We conducted a cohort study of people with HIV (PWH) and matched people without HIV (PWoH), all aged ≥ 21 years and with no prior HF. Poisson regression was used to compare incident HF by HIV status, with PWH stratified by severity of HIV infection (defined by recent [<6 months] CD4 count, nadir CD4 count, or recent HIV RNA level). Models were adjusted for sociodemographic characteristics, substance use, and HF risk factors. Analyses were conducted for men and women combined, then by sex.
Results:
The study included 38,868 PWH and 386,569 PWoH (mean baseline age=41.0±10.8 years; 88% men). Compared with PWoH, incident HF risk was higher among PWH with lower recent CD4 (200–499 cells/μl, adjusted rate ratio [aRR]=1.82, [95% CI=1.50–2.21] and <200 cells/μl, aRR=3.26 [2.47–4.30]) and a low nadir CD4 (<200 cells/μl, aRR=1.56 [1.37–1.79]), but not among PWH with normal CD4 (≥500 cells/μl, aRR=1.14 [0.90–1.44]). Higher incident HF risk was observed among PWH at all HIV RNA levels, with greater HF risk at higher HIV RNA levels. The excess HF risk associated with low CD4 (recent or nadir) and high HIV RNA was stronger among women than men (p-interactions=0.05, 0.08, and 0.01, respectively).
Conclusions:
Given the association of HIV severity with HF, optimizing HIV treatment and management may be important for HF prevention among PWH.
Keywords: heart failure, HIV, gender, cardiovascular disease, outcomes
INTRODUCTION
As people with HIV (PWH) live longer lifespans on antiretroviral therapy (ART)1, heart failure (HF) has become a major chronic health issue2–4. PWH have an estimated 1.5- to 3-fold higher risk of developing HF than HIV-uninfected individuals, and the prevalence of comorbid HF is rising4–6. This increased risk does not appear to be fully explained by the higher prevalence of traditional HF risk factors (e.g. smoking) among PWH, disparities in prevention or treatment of cardiovascular disease, interim acute coronary syndrome events, or adverse effects of current generation ART for HIV treatment4, 6. Rather, accumulating evidence indicate that the severity of HIV infection and degree of HIV control may be key influential factors in HF risk.
Several epidemiologic studies have reported that HF risk is greatest among PWH who have HIV-related immunosuppression or high HIV viremia7–11. In addition, the systemic immune activation/inflammation observed in HIV infection are hypothesized to affect men and women differently, potentially resulting in more pronounced HF risk among women with HIV12–15, as has been observed with other cardiovascular events16–19. However, sex differences in HF risk among PWH have received little attention in the literature since prior studies have been conducted either exclusively or predominantly among men19. Studies of HF risk among women with HIV have confirmed increased HF risk compared with HIV-uninfected women15, but most prior studies have lacked male comparators and/or analyses of PWH stratified by HIV severity20–23. To our knowledge, no prior large-scale epidemiologic studies have evaluated how HIV severity may differentially affect risk of HF in men and women.
Prior studies of HIV severity and HF have also been limited by cross-sectional study design, lack of longitudinal measurements of HIV biomarkers, lack of a comparable HIV-uninfected reference group, and/or insufficient data on confounding factors for HF such as substance use. While the pathophysiological link between HIV-mediated immune dysfunction and HF remains unclear, characterizing subgroups of PWH at greatest risk for HF could inform strategies for targeted HF risk assessment or early intervention. The objectives of this study were to describe differences in incident HF risk by HIV severity and assess sex-specific risk of HF by HIV severity among members of a U.S. healthcare system. The study described here builds on prior work in this study population which found 1.73-fold elevated risk of incident HF among PWH compared to their uninfected counterparts but did not examine HF risk by HIV severity and sex6.
METHODS
Study design, setting and population
We conducted a retrospective cohort study in adults (≥21 years old) who were members of Kaiser Permanente (KP) integrated healthcare delivery systems in Northern California, Southern California, and Mid-Atlantic States (Maryland, Virginia, Washington D.C.) between 2000 and 2016. KP provides comprehensive inpatient and outpatient services to a diverse patient population demographically representative of the general insured population in its service areas24. Cardiovascular disease prevention is implemented KP-wide via electronic health record (EHR)-based prompts for cholesterol and blood pressure monitoring, diabetes follow-up, weight management, and smoking cessation counseling at clinic visits25. All clinical sites in the study are part of the Cardiovascular Research Network Heart Failure Consortium, a research collaboration comprised of U.S. health systems with standardized methods for ascertainment of HF and cardiovascular disease risk factors26.
PWH were identified from regional KP HIV registries, which capture all known HIV cases within KP by monitoring the EHR for indicators of HIV infection in laboratory, pharmacy, and patient encounter databases. People without HIV (PWoH) were frequency-matched 10:1 to PWH by age±2 years, sex, race/ethnicity, medical facility, and first year of follow-up. People were excluded from the study if they had a prior diagnosis of HF. The study was approved by the KP Northern California Institutional Review Board (IRB). KP Southern California and KP Mid-Atlantic States ceded to the KP Northern California IRB. Waiver of informed consent was obtained given the retrospective, data-only nature of the study.
Participant follow-up
Baseline for PWH was defined as January 1, 2000, their 21st birthday, or the date of entry into the HIV registry, whichever was latest. Baseline for PWoH was January 1st of the year in which they were selected as part of the frequency-matching process. To allow ≥6 months to have elapsed between the first documented CD4 and HIV RNA measures and assessment of incident HF, HF follow-up for all participants began 6 months after baseline. Follow-up ended on the day of first identified HF within KP, health plan disenrollment, death, or last day of the study (December 31, 2016).
Outcome
The outcome of interest was incident HF of any type. Diagnoses of HF were identified in the EHR using International Classification of Diseases, Ninth or Tenth Edition (ICD-9/10) diagnosis codes: 398.91, 402.x1, 404.x1, 404.x3, 428.x/I09.81, I11.0, I13.10, I12.0, I50. People were considered to have HF if they had: 1) at least 1 primary discharge diagnosis of HF, or, 2) at least 3 ambulatory visits with a diagnosis of HF where at least one of the three diagnoses was made by a cardiologist. This definition has been used in studies of the general KP population and has been confirmed to have a high (>95%) positive predictive value for HF27–31. People diagnosed with HF <6 months after baseline were considered to have prevalent HF and were excluded from analyses.
Exposure
The primary exposure was the severity of HIV infection, defined using measures of recent CD4 count, nadir CD4 count and recent HIV RNA level. For baseline measures of recent CD4 and recent HIV RNA, we used the measure closest to, but within 6 months before and up to 14 days after, baseline date. Throughout follow-up, CD4 and HIV RNA measures were time-updated so that the most recent laboratory measure was used. Further, all CD4 and HIV RNA measures were lagged so that they occurred ≥6 months before each time of HF assessment. If laboratory values were missing, the most recent CD4 and HIV RNA value was used as long as the measurement was taken within the past 12 months. PWH without any CD4 or HIV RNA measurements within the past 12 months were excluded from all models.
Covariates
Sociodemographic and clinical data were obtained from the EHR. Sociodemographic covariates included age, sex, race/ethnicity, and annual household income (estimated using U.S. Census residential block-level data). Clinical characteristics included body mass index, self-reported smoking, and comorbidities known to be associated with HF, including cardiovascular disease (unstable angina, acute myocardial infarction, coronary artery disease, and stroke), hypertension, dyslipidemia, diabetes mellitus, alcohol use disorder, and other drug use disorder. Comorbidities were identified using ICD codes, Current Procedural Terminology (CPT) codes, laboratory results, vital signs, and/or documentation of specific therapies received based on approaches and ICD codes previously described6, 29, 32. Alcohol use disorders and other drug use disorders were diagnosed in the clinic setting by KPNC providers, and smoking status was routinely assessed by medical assistants during outpatient visits. All clinical factors were collected longitudinally.
Analyses
Rate ratios (RR) of incident HF by HIV severity were estimated using Poisson regression, with PWH stratified by recent CD4 count, nadir CD4 count, or recent HIV RNA level and each stratum compared with PWoH. All analyses were conducted for both sexes combined, then stratified by sex. Covariate-adjusted models included terms for sociodemographic and clinical factors. To test for differences in the association of HIV and HF by sex, we examined models with a term for the HIV severity*sex interaction. Analyses were conducted using SAS, version 9.4 (Cary, NC).
RESULTS
Baseline characteristics
The study included 38,868 PWH and 386,569 matched PWoH. The mean baseline age was 41.0±10.8 years, 88% of participants were men, and 38% self-reported as White (Table 1). Prevalent HF was identified in 49 PWH and 199 PWoH; these individuals were excluded from analyses. PWH were more likely than PWoH to have a history of smoking, alcohol use disorder, or other drug use disorder and were less likely to be obese or have diagnosed hypertension, dyslipidemia, or diabetes at baseline (Table 1). There was no significant difference in prevalence of pre-existing cardiovascular disease by HIV status at baseline. Compared with men with HIV, women with HIV were more likely to be obese and have hypertension or diabetes but were less likely to have dyslipidemia or a history of substance use (Table 2). Men and women with HIV had equal likelihood of pre-existing cardiovascular disease.
Table 1.
Characteristics of study participants at baseline, by HIV status
| Characteristica | With HIV N=38,868 n (%) |
Without HIV n=386,569 n (%) |
|---|---|---|
| Female | 4,743 (12.2) | 47,450 (12.3) |
| Age, mean (SD), years | 41.0 (10.8) | 41.0 (10.8) |
| Other/Unknown | 6,477 (16.7) | 64,409 (16.7) |
| Low annual household incomeb | 4,213 (14.6) | 32,865 (10.4) |
| Body mass index ≥30 kg/m2 | 1,990 (5.1) | 47,940 (12.4) |
| Cardiovascular diseasec | 158 (0.4) | 1,757 (0.5) |
| Hypertension | 2,678 (6.9) | 45,219 (11.7) |
| Diabetes Mellitus | 1,277 (3.3) | 20,040 (5.2) |
| Dyslipidemia | 3,135 (8.1) | 58,638 (15.2) |
| Ever smoker | 15,528 (40.0) | 116,103 (30.0) |
| Ever alcohol use disorderd | 4,223 (10.9) | 28,947 (7.5) |
| Ever other drug use disorderd | 6,068 (15.6) | 20,534 (5.3) |
Abbreviation: SD=standard deviation
Age, sex and race/ethnicity were matching factors.
Defined as U.S. Census block group neighborhood-level average income less than $35,000 annually (https://www.payingforseniorcare.com/federal-poverty-level). Table shows % of known; 11% of people with HIV and 9% of people without HIV had unknown neighborhood-level income.
Cardiovascular disease included prior unstable angina, acute myocardial infarction, coronary artery disease, and stroke.
Alcohol and other drug use disorders were identified using ICD-9 and ICD-10 diagnoses in the electronic health record.
Table 2.
Characteristics of study participants at baseline, by sex and HIV status
| Characteristic | Men N=373,244 |
Women N=52,193 |
||
|---|---|---|---|---|
| With HIV N=34,125 n (%) |
Without HIV N=339,119 n (%) |
With HIV N=4,743 n (%) |
Without HIV N=47,450 n (%) |
|
| Age, mean (SD), years | 41.5 (10.8) | 41.5 (10.8) | 40.8 (10.9) | 40.8 (10.8) |
| Other/Unknown | 5,545 (16.3) | 55,058 (16.2) | 932 (19.7) | 9,324 (19.7) |
| Low annual household incomea | 3,646 (14.2) | 28,939 (10.3) | 567 (17.2) | 3,926 (11.1) |
| Body mass index ≥30 kg/m2 | 1,470 (4.3) | 40,144 (11.8) | 520 (11.0) | 7,796 (16.4) |
| Cardiovascular diseaseb | 141 (0.4) | 1,644 (0.5) | 17 (0.4) | 113 (0.2) |
| Hypertension | 2,125 (6.2) | 38,326 (11.3) | 553 (11.7) | 6,893 (14.5) |
| Dyslipidemia | 2,790 (8.2) | 52,784 (15.6) | 345 (7.3) | 5,854 (12.3) |
| Diabetes Mellitus | 1,033 (3.0) | 17,465 (5.2) | 244 (5.1) | 2,575 (5.4) |
| Ever smoker | 13,968 (40.9) | 105,427 (31.1) | 1,560 (32.9) | 10,676 (22.5) |
| Ever alcohol use disorderc | 3,893 (11.4) | 27,448 (8.1) | 330 (7.0) | 1,499 (3.2) |
| Ever other drug use disorderc | 5,535 (16.2) | 18,950 (5.6) | 533 (11.2) | 1,584 (3.3) |
Abbreviation: SD=standard deviation
Defined as U.S. Census block group neighborhood-level average income less than $35,000 annually (https://www.payingforseniorcare.com/federal-poverty-level). Table shows % of known. 25% of men with HIV, 17% of men without HIV, 30% of women with HIV, and 26% of women without HIV had unknown neighborhood-level income.
Cardiovascular disease included prior unstable angina, acute myocardial infarction, coronary artery disease, and stroke.
Alcohol and other drug use disorders were identified using ICD-9 and ICD-10 diagnoses in the electronic health record.
Risk of HF by HIV severity
During mean follow-up of 5.2±5.2 years for PWH and 6.0±5.4 years for PWoH, 230 PWH and 3,298 PWoH developed incident HF. Compared with PWoH, HF risk was higher among PWH with lower recent CD4 count (200–499 cells/μl, adjusted rate ratio [aRR]=1.82, [95% CI=1.50–2.21] and <200 cells/μl, aRR=3.26, [2.47–4.30]) and a low nadir CD4 count (<200 cells/μl, aRR=1.56, [1.37–1.79]; Figure). PWH with recent CD4 ≥500 cells/μl and nadir CD4 ≥200 cells/μl did not have significantly higher risk of HF compared with PWoH. HF risk was higher among PWH regardless of HIV RNA level but was greatest among PWH with HIV RNA ≥10,000 copies/ml (aRR=2.62, [1.98–3.47]; Figure).
Figure. Adjusted rate ratios of incident heart failure in people with HIV, by HIV severity, compared with people without HIV.

Adjusted rate ratios (aRR) and 95% confidence intervals (CI) comparing incident heart failure risk in people with HIV (PWH) and people without HIV (PWoH), with stratification among PWH by (a) recent CD4; (b) nadir CD4; and (c) recent HIV RNA levels. Poisson models were adjusted for sex, age, race/ethnicity, neighborhood-level income, obesity, cardiovascular disease, hypertension, diabetes mellitus, hyperlipidemia, ever smoking, ever alcohol use disorder, and ever drug use disorder. Reference group for all aRRs were PWoH. CD4 and HIV RNA measures were time-updated.
Sex-stratified analyses
There were 192 HF cases among men with HIV, 3,002 HF cases among men without HIV, 38 HF cases among women with HIV, and 296 HF cases among women without HIV. Like in analyses with both sexes combined, men and women with HIV with lower recent CD4 count (<500 cells/μl) and lower nadir CD4 count (<200 cells/μl) had higher risk of incident HF compared with PWoH. This risk was more pronounced among women than men (p-interaction=0.05 for sex*recent CD4 and p-interaction=0.08 for sex*nadir CD4; Table 3). Similarly, the association of higher HIV RNA with higher HF risk was more pronounced among women (p-interaction, sex*recent HIV RNA=0.01; Table 3).
Table 3.
Sex-specific adjusted rate ratios of incident heart failure in people with HIV, by HIV severity, compared with people without HIV
| HIV severitya | Men N=373,244 |
Women N=52,193 |
|||||
|---|---|---|---|---|---|---|---|
| Cases of HF | Adjustedb RR (95% CI) | p | Cases of HF | Adjustedb RR (95% CI) | p | P for interaction | |
| Recent CD4 (cells/μl) | |||||||
| PWoH | 3,002 | Reference | 296 | Reference | |||
| PWH, ≥500 | 60 | 1.09 (0.84–1.40) | 0.54 | 12 | 1.50 (0.84–2.68) | 0.18 | |
| PWH, 200–499 | 90 | 1.71 (1.39–2.12) | <0.001 | 16 | 2.80 (1.68–4.66) | <0.001 | 0.05 |
| PWH, <200 | 42 | 2.97 (2.19–4.04) | <0.001 | 10 | 5.30 (2.80–10.05) | <0.001 | |
| Nadir CD4 (cells/μl) | |||||||
| PWoH | 3,002 | Reference | 296 | Reference | |||
| PWH, ≥500 | 21 | 0.94 (0.61–1.44) | 0.77 | 4 | 1.38 (0.51–3.70) | 0.52 | |
| PWH, 200–499 | 100 | 0.93 (0.76–1.14) | 0.50 | 16 | 1.39 (0.84–2.32) | 0.20 | 0.08 |
| PWH, <200 | 207 | 1.50 (1.30–1.73) | <0.001 | 31 | 2.17 (1.48–3.17) | <0.001 | |
| Recent HIV RNA (copies/ml) | |||||||
| PWoH | 3,002 | Reference | 296 | Reference | |||
| PWH, ≤200 | 115 | 1.41 (1.17–1.70) | <0.001 | 13 | 1.33 (0.76–2.34) | 0.31 | |
| PWH, 201–9,999 | 40 | 1.70 (1.25–2.33) | <0.001 | 12 | 3.47 (1.93–6.25) | <0.001 | 0.01 |
| PWH, ≥10,000 | 37 | 2.70 (1.59–3.05) | <0.001 | 13 | 5.54 (3.15–9.76) | <0.001 | |
Abbreviations: HF=heart failure, RR=rate ratios, CI=confidence interval, PWH=people with HIV, PWoH=people without HIV
Reference: People without HIV (3,002 cases of HF among men without HIV; 296 cases of HF among women without HIV); Recent CD4 and recent HIV RNA measures were time-updated.
Poisson models were adjusted for sex, age, race/ethnicity, neighborhood-level income, obesity, cardiovascular disease, hypertension, diabetes mellitus, hyperlipidemia, ever smoking, ever alcohol use disorder, and ever drug use disorder.
DISCUSSION
In this study of PWH and matched PWoH, PWH with lower recent CD4 count or higher recent HIV viremia were at greatest risk of developing HF even after accounting for sociodemographics and clinical cardiovascular risk factors. Recent CD4 count was more strongly associated with HF than nadir CD4 count. Notably, preserved immunity (recent CD4 count ≥500 cells/μl and nadir CD4 count ≥200 cells/μl) was not associated with increased HF risk. The association of elevated HF risk with low CD4 or high HIV RNA was stronger among women than men. Our data also suggest that women with HIV and normal CD4 counts may remain at elevated risk for HF. Given the independent association of HIV severity with HF risk, effective treatment and management of HIV – including timely HIV diagnosis, prompt ART initiation, and promotion of ART adherence – may be important for primary prevention of HF. Increased attention to sex-specific risk factors for HF among PWH, and an improved understanding of underlying pathological mechanisms, will also be critical to HF prevention efforts given that women with HIV were at higher risk of HF than men with HIV.
Consistent with prior studies, we found that HIV-related immunodeficiency and detectable HIV viremia were associated with higher HF risk7–11, 23. Moreover, we demonstrated elevated HF risk in a longitudinal cohort across multiple HIV measures, including recent and nadir CD4 count as well as HIV RNA level. Given that our study was conducted among PWH and demographically-matched PWoH, with analytic adjustment for behavioral factors and comorbidities, our findings support the hypothesis that HF risk among PWH is more reflective of HIV-related immunodeficiency and immune activation than the effects of substance use, aging, or accumulating age-associated conditions. Non-modifiable HIV-related factors may also contribute, including chronic HIV-mediated inflammation, which has been hypothesized to increase the likelihood of myocardial dysfunction4. Elevated HF risk among PWH in some other settings has been attributed, in part, to suboptimal treatment of cardiovascular disease2, 8, 19. While we did not specifically examine cardiovascular disease management in this analysis, we previously showed that the excess HF risk in PWH was not explained by differential use of cardiopreventive therapies in our study setting15, and PWH had similar or superior cardiovascular disease risk profiles, including comparable uptake of lipid-lowering and hypertension therapy, compared with matched PWoH25.
Our study population was primarily men, but its large size enabled analyses of sex differences in the association of HIV severity with HF, building on prior studies which have been underpowered for male-to-female comparisons7–11. Although we interpret our sex-stratified results with caution given the available sample size, our analyses were adequately powered and mirrored the pattern of increasing HF risk with increasing HF severity from overall analyses but with distinctly stronger associations among women. Poor HIV control was more strongly associated with increased risk of HF among women than men, concordant with the hypothesis that the impacts of HIV-related immunodeficiency are differential by sex and can lead to enhanced HF risk among women with HIV12–14. Observed differences in HF risk by sex may also be partially explained by sex-specific variation in cardiovascular aging, cardiometabolic risk factors, and pathophysiology of cardiovascular disease33–37. Some conditions unique to women – for example, pre-eclampsia, gestational diabetes, polycystic ovary syndrome, and early menopause – can cause distinct patterns of metabolic dysregulation which increase cardiovascular disease risk34, 37–39.
Our results have clinical implications in the current era of immediate ART initiation and improved ART regimens40, 41. Nadir CD4 count was not as strongly associated with HF as recent CD4 count, highlighting ART initiation and adherence as central modifiable factors in HF risk, regardless of prior immunodeficiency or suboptimal HIV treatment. As ART use becomes more widespread, the epidemiology of HF is anticipated to change; specifically, HF with preserved ejection fraction will likely become the predominant HF type in virally-suppressed HIV populations3, 4, 15. Since this type of HF has fewer evidence-based pharmacologic treatment options and lower treatment success36, 42, effective interventions for primary prevention of HF will become increasingly important. Notably, women are approximately twice as likely as men to develop HF with preserved ejection fraction9, 22, 42. With regard to sex-specific prevention of HF among PWH, women with treated HIV are also more likely than HIV-uninfected women to have pre-HF phenotypes characterized by diffuse myocardial fibrosis and reduced diastolic function, along with higher levels of circulating inflammatory markers that may promote myocardial damage43. These potentially reversible HF precursors represent opportunities for early intervention among women with HIV, who experience higher rates of HF hospitalization, longer HF hospital stays, and higher mortality than HIV-uninfected women15, 22, 43.
Overall, by identifying PWH most likely to develop HF, we contribute to current discussions on approaches to modify HF risk and optimize cardiac care in aging HIV populations2, 4. There is accumulating evidence that HIV severity influences HF risk, but still-limited knowledge on its physiological underpinnings and longer-term effects. Potential HF prevention methods include early identification of subclinical myocardial damage using biomarkers associated with HF among PWH, pharmacotherapeutic options to minimize HIV-related inflammation, and EHR-based HF risk prediction to help clinicians better identify HF risk in selected populations2, 4. The link between HIV severity and HF also justifies increased investment in strengthening the HIV care continuum, which focuses on increasing HIV diagnosis and engagement/retention in care, ART initiation, and viral suppression44, 45. In addition to improving HIV-related outcomes, leveraging HIV care infrastructure to support expansion of cardiovascular disease prevention efforts for PWH could have positive impacts on cardiac health in this population2, 46.
This study had several limitations. First, data were collected in routine clinical care and may have been affected by residual confounding due to factors not fully captured in the EHR such as diet quality and physical activity patterns. Second, while analyses adjusted for diagnoses of prior cardiovascular disease, diabetes mellitus, and dyslipidemia, we did not assess treatment for these conditions. The prevalence of these conditions was similar or lower among PWH compared with PWoH and thus is unlikely to have changed the direction of associations. Third, without data on the type or duration of ART use among PWH, we could not evaluate differences in HF risk among PWH who took ART regimens associated with lipodystrophy or cardiac side effects. However, the main goal of this study was to evaluate HF by HIV status across levels of HIV severity, and ART side effects would likely have been modest compared to the effects of diabetes and other comorbidities which were already included in adjusted models. Fourth, due to the overall low number of PWH who developed HF (n=230), we were unable to evaluate the association of HF with HIV severity by ART treatment era. However, in exploratory analyses, we found only 34 cases of HF among PWH who started study follow-up on January 1, 2010 or later, suggesting that ART improvements and better HIV control are linked to reduced HF risk in more recent years. Lastly, we did not stratify analyses by HF etiology (i.e., ischemic vs. non-ischemic) or degree of systolic dysfunction (i.e., reduced vs. preserved) but recognize that HF is a heterogeneous syndrome and that the epidemiology of HF may be rapidly evolving in more contemporary cohorts. Importantly, future larger studies powered to perform analyses of HIV severity and HF risk stratified by both sex and HF type would be important given known sex differences across HF subtypes.
This study builds methodologically on prior studies7–11 in several ways, including: 1) use of time-updated and recent (i.e., less than 6 months old) CD4 and HIV RNA measures, which ensured evaluation of HIV severity within clinically-appropriate timeframes, 2) lagged analyses to ensure HIV measures preceded HF events by at least 6 months, which limited false associations due to reverse causality (i.e. HF influencing the HIV measure), 3) adjustment for time-updated comorbidity and substance use-related covariates, which accounted for changing epidemiology of cardiovascular risk factors over time, and 4) evaluation of HF risk across multiple measures of HIV severity, stratified according to clinically-relevant levels of CD4 and HIV RNA. Other strengths of the study included the large population of PWH and well-matched PWoH within the same setting, an HIV population that reflected the racial/ethnic diversity of the HIV population in the underlying community47–51, use of a previously validated HF definition, and relatively large number of HF cases among women which enabled analyses of HF risk stratified by sex.
In summary, we found that HIV immunodeficiency and viremia were independent risk factors for incident HF. PWH who had lower CD4 count or higher HIV viremia were at greater risk of HF than PWoH, with stronger associations observed among women with HIV than men with HIV. In addition to addressing traditional cardiovascular risk factors, optimizing HIV management could be important for effective HF reduction among PWH.
Conflicts of Interest and Source of Support:
No conflicts of interest were declared for all authors. This work was supported by grants from the National Heart, Lung and Blood Institute [grant number R01 HL132640 to A.S.G./M.J.S. and grant number K23 HL150159 to A.P.A.] and the National Institute of Allergy and Infectious Diseases [grant number K01 AI157849 to J.O.L.].
Footnotes
Conference Presentations: Preliminary results were presented at the Conference on Retroviruses and Opportunistic Infections 2020; Boston, MA; March 8–11, 2020.
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