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. Author manuscript; available in PMC: 2022 Aug 1.
Published in final edited form as: AIDS. 2021 Aug 1;35(10):1647–1655. doi: 10.1097/QAD.0000000000002920

HIV, HCV and Risk of New-Onset Left Ventricular Dysfunction: The Women’s Interagency HIV Study

Sanyog G SHITOLE a, Jason M LAZAR b, David B HANNA c, Ryung S KIM c, Kathryn ANASTOS d, Mario J GARCIA e, Phyllis C TIEN f, João A C LIMA g, Robert C KAPLAN c,h, Jorge R KIZER a,i
PMCID: PMC8286303  NIHMSID: NIHMS1693726  PMID: 33859109

Abstract

Background:

HIV and HCV have each been linked with cardiac dysfunction. Studies of HIV have often lacked appropriate controls and primarily involved men, while data for HCV are sparse.

Methods:

We performed repeat echocardiography over a median interval of 12 years in participants from the Women’s Interagency HIV Study in order to evaluate the relationships of HIV and HCV with incident left ventricular (LV) dysfunction (systolic or diastolic).

Results:

Of the 311 women included (age 39±9), 70% were HIV and 20% HCV positive. Forty three participants (13.8%) developed LV dysfunction, of which 79.1% was diastolic. Compared to participants with neither infection, the group with HIV-HCV coinfection showed a significantly increased risk of incident LV dysfunction after adjustment for risk factors (RR=2.96 [95% CI=1.05–8.31]), but associations for the HCV monoinfected and HIV monoinfected groups were not statistically significant (RR=2.54 [0.83–7.73] and RR=1.66 [0.65–4.25], respectively). Comparison of HCV-positive and HCV-negative women showed a significantly increased risk independent of covariates (RR=1.96 [1.02–3.77]), but this was not the case for HIV-positive vs. HIV-negative women (RR=1.43 [0.76–2.69]). There was no evidence of HCV-by-HIV interaction. A more restrictive definition of LV diastolic dysfunction led to fewer incident cases, but a similar, though non-significant, risk estimate for HCV.

Conclusions:

Among middle-aged women, HCV but not HIV infection was associated with a pronounced risk of incident LV dysfunction. Although the influence of residual confounding cannot be excluded, these findings bolster the potential benefits that could be realized by adopting recent recommendations for expanding HCV screening and treatment.

Keywords: HIV, HCV, LV Dysfunction

Introduction

Antiretroviral therapy (ART) has dramatically extended survival in people living with HIV (PLWH). Yet, for the 1.1 million PLWH in the U.S., as elsewhere, this enhanced longevity has been accompanied by pronounced comorbidities, including cardiovascular disease (CVD) [1]. PLWH have been reported to have an increased risk of coronary heart disease (CHD) [2, 3], heart failure (HF) [46], and sudden cardiac death [7]. Similarly, PLWH have been documented to have high prevalences of left ventricular (LV) systolic and diastolic dysfunction, with pooled estimates of 12.0% and 29.3%, respectively [8].

Chronic infection with HCV is also common, affecting 2.7 to 3.9 million Americans [9], and occurs more frequently in PLWH [10]. Direct-acting antiviral (DAA) medications have made HCV curable [11], prompting increased screening [12]. Apart from its hepatic sequelae, HCV has been linked to various extrahepatic manifestations, including atherosclerotic CVD [13], with HIV-HCV coinfection associated with a higher risk of CHD than HIV monoinfection [14]. Some reports have identified myocardial HCV in dilated and hypertrophic cardiomyopathy, but this has not been supported by others [15]. Moreover, longitudinal studies have not documented consistent associations between HCV and risk of HF [4, 16].

To date, most studies linking HIV to myocardial dysfunction have focused predominantly on men, and corresponding investigations of HCV are sparse. Available echocardiographic studies are primarily cross-sectional, and have either been uncontrolled or relied on healthy controls who lack cardiovascular risk factors enriched in PLWH. Furthermore, race-ethnic minorities, who bear a disproportionate burden of HIV and HCV in the U.S. [17, 18], remain understudied. To address these gaps, we undertook a longitudinal echocardiographic study within the Women’s Interagency HIV Study (WIHS) to test the hypothesis that HIV and HCV, alone and especially in combination, are associated with new-onset LV dysfunction.

Methods

WIHS is a multicenter study that enrolled women with, or at risk for, HIV infection in 1994–1995 and 2001–2002 at six U.S. sites [19, 20]. As previously detailed [19, 20], participants attended semiannual core visits where socio-demographic, lifestyle, and medical information was collected, along with biospecimens.

In a previous study, n=661 women from Bronx and Brooklyn underwent echocardiographic examinations in 2004–2005 [21]. We invited all women from this initial study to complete a follow-up echocardiogram, first as part of a pilot study (2014–2016), and then as part of the main study (2016–2018). Overall, n=371 participants women returned for follow-up echocardiography. The study received institutional review board approval.

WIHS participants received testing for HIV by immunoassay at every core visit and, if positive, confirmation by Western blot. Two women who seroconverted within 3 years of baseline were considered HIV positive for the present analyses. Women underwent testing for HCV serostatus and, if positive, HCV RNA at study entry in 1994–1995 (n=167) or 2001–02 (n=144). A minority (n=22) underwent repeat HCV RNA testing in 1996–2005. We considered participants positive for HCV infection if they were seropositive at the baseline echocardiogram, irrespective of HCV RNA result.

Procedures for baseline echocardiography (2004–05) have been reported [21]. Briefly, transthoracic echocardiograms were performed by a trained sonographer at the Bronx and Brooklyn sites using a Philips Sonos 5500 machine. Acquisition of two-dimensional, M-mode, and Doppler images followed a standardized protocol [22]. The follow-up echocardiographic examination (2014–2018) was conducted by trained sonographers using a similar protocol with Philips iE33 machines.

In both examinations, LV ejection fraction (EF) and left atrial (LA) volumne were determined by the biplane method of discs [23]. Transmitral Doppler imaging was performed at the leaflet tips. Tissue Doppler imaging obtained at the septal mitral annulus at baseline, and septal and lateral mitral annulus at follow-up echocardiography. Interpretations were completed blinded to clinical characteristics by a single echocardiographer for baseline (JML), and by two echocardiographers (JML, JRK) for follow-up echocardiograms. Inter-reader agreement was good to excellent: LVEF (intraclass correlation coefficient [ICC] 0.81), LA volume index (ICC 0.91), mitral E velocity (ICC 0.91), mitral A velocity (ICC 0.97), septal e’ velocity (ICC 0.90), peak tricuspid regurgitation velocity (ICC 0.78).

The outcome of interest was new-onset LV dysfunction, comprising systolic or diastolic dysfunction. LV systolic dysfunction (LVSD) was defined as LVEF<50%. For our primary outcome, given the young age of the population, we chose the less restrictive definition of LV diastolic dysfunction (LVDD) recommended by the ASE 2009 guidelines [24]. LVDD was defined as septal e’<8 cm/s or lateral e’<10 cm/s and LA volume index≥34 ml/m2. For our secondary outcome, we applied the stricter ASE 2016 recommendations to define LVDD [25]. Indeterminate cases with LV end-diastolic volume index >61 ml/m2 or LV mass index >95 g/m2 were classified as having LVDD.

Covariates were measured at the closest visit preceding baseline echocardiography. Race-ethnicity was defined by self-report, as was ever-history of drug use. Current smoking was defined by self-report of any ongoing smoking, and heavy alcohol use as >7 drinks/week. Hypertension, diabetes, and dyslipidemia were defined as previously reported [26]. History of myocardial infarction was obtained by self-report. Estimated glomerular filtration rate (eGFR), aspartate-aminotransferase-to-platelet ratio and fibrosis-4 scores were calculated using established formulas [2729]. Plasma HIV RNA was measured by commercial immunoassay (detection limit: 80 copies/ml). Plasma CD4+ T-cells were quantified by flow cytometry. HCV seropositivity and viremia were assessed by commercial assays.

We divided the cohort into neither-infected, HCV-monoinfected, HIV-monoinfected and HIV-HCV-coinfected groups, as done elsewhere [30]. We employed relative risk regression using a Poisson working model with a log-link function and robust standard errors to calculate risk ratios of new-onset LV dysfunction with the neither-infected group as referent. We adjusted for baseline covariates as follows. Model 1 adjusted for age, race-ethnicity and site. Model 2 additionally adjusted for current smoking, history of intravenous drug use (IDU) and history of heroin or cocaine use. There was no self-reported methamphetamine use. Model 3 further adjusted for hypertension, diabetes, and dyslipidemia. Subsequent models also adjusted for interval between scans, heavy alcohol use, eGFR, or liver fibrosis indices. We repeated the analyses comparing HIV-positive versus HIV-negative participants adjusting for HCV status, and vice versa. To assess for interaction between HIV and HCV, we included a cross-product term in Model 3. We used SAS 9.4 (Cary, NC) for all analyses. Two-tailed p<0.05 defined statistical significance.

Results

Of the n=290 original participants who did not return for follow-up echocardiography, n=86 died and n=204 were alive but did not participate. Compared with participants who completed a follow-up echocardiogram, those who died were older, had lower measures of body size and eGFR, more smoking and drug use, greater hypertension and liver fibrosis indices, and were more frequently HCV and HIV seropositive, the latter of greater severity and less well controlled (Supplementary Table 1). Participants who were alive but did not complete a follow-up echocardiogram were more comparable to those who did, but had lower heavy alcohol use, hypertension, dyslipidemia, and use of ART.

After exclusion of n=18 participants with baseline LV dysfunction and n=32 with incomplete baseline echocardiographic data, incident LV dysfunction was examined in n=321. Echocardiographic data were incomplete at follow-up in n=10, leaving n=311 for primary analyses.

Table 1 presents baseline characteristics stratified by HIV and HCV status. Compared to the neither-infected group, the HCV-monoinfected group was older, with higher current smoking, history of IDU and hypertension, Bronx-site enrollment, liver-fibrosis scores and use of renin-angiotensin-aldosterone-system antagonists, along with lower eGFR. In a similar comparison, the HIV-monoinfected group had greater dyslipidemia and liver fibrosis scores, while the HIV-HCV-coinfected group was older and had more ever-drug use. In comparison to neither-infected women, HIV-HCV coinfected women also had lower eGFR, higher liver-fibrosis indices, and were mostly from the Bronx. Among participants with HIV monoinfection and HIV-HCV coinfection, >4/5 were on ART, median CD4+ T-cell counts were ~450 cells/mm3, and >1/2 had detectable viremia. Of HCV-monoinfected women at baseline (n=16), n=6 (37%) had cleared HCV without treatment while n=10 (63%) had HCV viremia. For women with HIV-HCV coinfection at baseline (n=45), n=15 (33%) had cleared HCV without treatment while n=30 (67%) were HCV viremic.

Table 1.

Baseline Characteristics of the Cohort

Neither infected (n=76) HCV monoinfected (n=16) HIV monoinfected (n=174) HIV-HCV coinfected (n=45)
Age, years 38 (29, 43) 47 (41, 53)a 39 (33, 43) 47 (42, 53)a
Race-ethnicity, n (%)
 Non-Hispanic white 2 (2.6) 0 (0.0) 8 (4.6) 2 (4.4)
 Hispanic 17 (22.4) 8 (50.0) 36 (20.7) 20 (44.4)
 Non-Hispanic black 57 (75.0) 8 (50.0) 121 (69.5) 22 (48.9)
 Other 0 (0.0) 0 (0.0) 9 (5.2) 1 (2.2)
Site, n (%)
 Bronx 24 (31.6) 11 (68.8)a 49 (28.2) 25 (55.6)a
 Brooklyn 52 (68.4) 5 (31.3)a 125 (71.8) 20 (44.4)a
BMI, kg/m2 27.9 (24.7, 33.0) 31.0 (27.2, 40.2) 28.3 (24.8, 34.7) 26.6 (24.2, 28.9)
Current smoker, n (%) 35 (46.1) 13 (81.3)a 83 (47.7) 29 (64.4)
Heavy alcohol use, n (%) 8 (10.5) 1 (6.3) 14 (8.1) 2 (4.4)
History of injection drug use, n (%) 2 (2.6) 8 (50.0)a 1 (0.6) 31 (68.9)a
History of heroin or cocaine use, n (%) 32 (42.1) 11 (68.8) 71 (40.8) 36 (80.0)a
Diabetes, n (%) 17 (22.4) 7 (43.8) 44 (25.3) 14 (31.1)
Hypertension, n (%) 36 (47.4) 13 (81.3)a 96 (55.2) 26 (57.8)
Dyslipidemia, n (%) 50 (65.8) 9 (56.3) 137 (78.7)a 35 (77.8)
History of myocardial infarction, n (%) 1 (1.3) 2 (12.5) 1 (0.6) 0 (0.0)
eGFR, mL/min/1.73m2 109 (102, 125) 100 (85, 112)a 110 (94, 124) 95 (77, 114)a
APRI 0.14 (0.11, 0.17) 0.35 (0.20, 0.55)a 0.17 (0.13, 0.26)a 0.40 (0.24, 0.53)a
FIB-4 0.57 (0.48, 0.73) 1.15 (0.85, 1.74)a 0.79 (0.55, 1.05)a 1.31 (0.91, 1.92)a
RAAS-antagonist use, n (%) 7 (9.2) 5 (31.3)a 17 (9.8) 9 (20.0)
Beta-blocker use, n (%) 3 (4.0) 3 (18.8) 12 (6.9) 4 (8.9)
HIV-specific characteristicsb
 CD4+ T-cell count, cells/mm3 NA NA 480 (336, 737) 444 (261, 585)
 ART use, n (%) NA NA 145 (83.8) 39 (88.6)
 Detectable viral load, n (%) NA NA 107 (61.9) 25 (56.8)

Median (IQR) for continuous variables; n (%) for categorical variables;

a

p<0.05 when compared to neither-infected;

b

n=2 HIV seroconverters between baseline and follow-up dropped;

Pairwise differences in characteristics were determined using the Wilcoxon rank-sum, chi-square or Fisher’s exact test, as appropriate.

APRI=Aspartate aminotransferase to platelet ratio index; ART=Antiretroviral therapy; BMI=Body mass index; eGFR=Estimated glomerular filtration rate; FIB-4=Fibrosis-4 index; HCV=Hepatitis C virus; HIV=Human immunodeficiency virus; IQR=Interquartile range; NA=Not applicable; RAAS=Renin-angiotensin-aldosterone system.

The characteristics of the cohort by HIV and HCV status at follow-up echocardiography are given in Supplementary Table 2. The prevalence of cardiovascular, liver or kidney disease or their risk factors, along with use of renin-angiotensin-aldosterone-system antagonists and beta-blockers, generally increased as compared with baseline. By contrast, current smoking and heavy alcohol intake showed a decline between baseline and follow-up. Compared with baseline, HIV-monoinfected and HIV-HCV coinfected women showed numerically higher figures for ART use at 93% and 98%, median (IQR) CD4+ T-cell counts at 674 (453–858) and 571 (392–697) cells/mm3, and undetectable viral load at 72% and 71%, respectively.

The use of specific ART at baseline and follow-up is detailed in Supplementary Table 3. Among HIV-monoinfected and HIV-HCV-coinfected women at baseline, 70.5% and 79.6% were receiving nucleoside reverse transcriptase inhibitors (NRTIs), 26.6% and 29.6% non-nucleoside reverse transcriptase inhibitors (NNRTIs), and 45.7% and 59.1% protease inhibitors (PIs), respectively. These proportions were numerically higher for NRTIs and NNRTIs, but lower for PIs. In HIV-monoinfected and HIV-HCV-coinfected participants, follow-up use was 85.1% and 86.7% for NRTIs; 34.5% and 33.3% for NNRTIs; and 33.9% and 37.8% for PIs. There was also a corresponding shift to newer agents with lower side-effects.

There were 43 cases of new-onset LV dysfunction after a median (range) of 12.1 (8.1–13.6) years between scans. Of these incident cases, 9 (20.9%) had LVSD and 34 (79.1%) had isolated LVDD (ASE 2009 definition). Among women with incident LVSD, median (range) LVEF was 42% (37–49%). In those with isolated LVDD, 24 (70.6%) had grade I, 8 (23.5%) had grade II, and 2 (5.9%) had indeterminate grade. Figure 1 shows the proportions of incident LV dysfunction by HIV and HCV status. In comparison to the neither-infected group, the HCV-monoinfected and HIV-HCV-coinfected groups experienced significantly greater isolated LVDD and LVSD or LVDD.

Figure 1.

Figure 1.

Cumulative incidence of LV dysfunction – systolic, diastolic or either. *p<0.05 versus neither-infected group.

Adjusted relative risks of new-onset LV dysfunction as a primary outcome for participants with HIV or HCV or both compared with neither infection are shown in Figure 2. The HCV-monoinfected group was 3-fold more likely than the referent group to experience LV dysfunction in the minimally adjusted model. This risk estimate was attenuated to 2.5-fold and became non-significant after full adjustment. Meanwhile, the HIV-monoinfected group showed a risk ~1.7-times higher, which remained virtually unchanged and non-significant at all levels of adjustment. As for women with HIV-HCV-coinfection, this group was nearly 3-times more likely to experience LV dysfunction across the models, an association that remained significant after full adjustment. In these analyses, additional adjustment for time between scans, heavy alcohol use, eGFR, or liver fibrosis indices, did not attenuate the risk estimates (not shown).

Figure 2.

Figure 2.

Relative risk estimates of new-onset LV dysfunction (primary outcome) for HCV- and/or HIV-infected groups versus the neither-infected group. CI=Confidence interval; EF=Ejection fraction; HCV=Hepatitis C virus; HIV=Human immunodeficiency virus; LV=Left ventricular; RR=Relative risk. Model 1 adjusts for age, race-ethnicity, site; Model 2 additionally adjusts for smoking, injection drug use, heroin or cocaine use; Model 3 additionally adjusts for hypertension, diabetes, dyslipidemia.

For the secondary outcome of LV dysfunction (using the ASE 2016 definition for LVDD), n=346 baseline participants were included. Of these participants, n=28 developed new-onset LV dysfunction (n=9 [32.1%] LVSD, and n=19 [67.9%] isolated LVDD). Relative risks for the secondary outcome are shown in Supplementary Figure. The HCV-monoinfected group had a risk estimate 1.8-times higher than the neither-infected group in the minimally adjusted model, which was attenuated to 1.4-times higher in the fully adjusted model, but was non-significant at any level of adjustment. Compared with the referent, the HIV-monoinfected group had non-significant relative risks ranging from 0.9 to 1.0 across adjusted models. In turn, the HIV-HCV-coinfected group exhibited risk estimates approaching 2-fold higher than the neither-infected group across levels of adjustment, but these were not statistically significant.

Adjusted comparisons of HCV- or HIV-positive participants with their HCV- or HIV-negative counterparts for the primary outcome are shown in Table 2. After full adjustment, HCV was significantly associated with a 2-fold higher risk of new-onset LV dysfunction. The corresponding risk for HIV was ~1.4-fold higher, but this was not statistically significant. There was no evidence of interaction between HIV and HCV (pinteraction=0.572).

Table 2.

Relative Risk Estimates by HCV and HIV Infection Status for the Primary Outcome of New-Onset LV Dysfunction (Systolic Dysfunction [EF<50%] or Isolated Diastolic Dysfunction [ASE 2009])

Models New-Onset LV Systolic or Diastolic (ASE 2009) Dysfunction
HCV-positive vs HCV-negative HIV-positive vs HIV-negative
RR (95% CI) p RR (95% CI) p
Model 1 1.90 (1.05, 3.44) 0.035 1.29 (0.68, 2.45) 0.441
Model 2 1.96 (1.00, 3.83) 0.049 1.41 (0.75, 2.65) 0.287
Model 3 1.96 (1.02, 3.77) 0.044 1.43 (0.76, 2.69) 0.271

Model 1 adjusts for age, race-ethnicity, site; Model 2 additionally for smoking, intravenous drug use, heroin or cocaine use, HIV status (or HCV status); Model 3 additionally for hypertension, diabetes, dyslipidemia.

ASE=American Society of Echocardiography; CI=Confidence interval; EF=Ejection fraction; HCV=Hepatitis C virus; HIV=Human immunodeficiency virus; LV=Left ventricular; RR=Relative risk.

Findings for the secondary outcome are presented in Supplementary Table 4. HCV was associated with a 1.7-fold risk of LV dysfunction, whereas HIV was associated with 1.1-fold risk, but neither was statistically significant. No evidence of HIV-by-HCV interaction was detected (pinteraction=0.714).

Discussion

In this study of middle-aged women, we found that participants with HIV-HCV coinfection exhibited a 3-fold significantly greater risk of incident LV dysfunction after adjustment for risk factors than those with neither infection. Women with HCV monoinfection and HIV monoinfection showed 2.5 and 1.7-fold higher corresponding risks, respectively, but these were not statistically significant. Comparison of women with and without HCV, however, revealed a 2-fold significantly higher adjusted risk of new-onset LV dysfunction independent of, and without effect modification by, HIV. Similar comparison of women with and without HIV showed a 1.4-fold higher risk of incident LV dysfunction independent of HCV status, which was not statistically significant.

Previous clinical studies have linked HCV to risk of atherosclerotic CVD [31], and document a stronger association with incident CVD for HIV-HCV coinfection than HCV monoinfection [13]. A relationship between HCV and cardiac dysfunction was previously suggested by detection of HCV RNA in cardiac specimens from Japanese patients with dilated or hypertrophic cardiomyopathy, but subsequent cross-sectional studies in larger cohorts from Greece and Italy failed to confirm an HCV-cardiomyopathy association [15]. In a longitudinal U.S. study comprising mostly men with CHD, HCV seropositivity was positively associated with incident HF [16], but this was not replicated among U.S. veterans without prevalent CHD [4].

PLWH have likewise been shown to have increased risk of CVD [27], with imaging studies documenting high prevalences of LVSD and, particularly, LVDD [8]. Apart from a small study that found high incidence of LVDD in a small sample (n=60) of PLWH who underwent echocardiograms 4 years apart, existing imaging data are cross-sectional [32].

To our knowledge, this is the first long-term evaluation of LV function by repeat echocardiography among people with and without HIV or HCV, and the first of its kind in women. HIV-HCV-coinfected women emerged as the only group with a significant and strong association with new-onset LV dysfunction, but the corresponding risk estimate for HCV monoinfection, while not significant, was also of large magnitude. The comparison of HCV-positive and HCV-negative women also revealed a significant and sizable association with incident LV dysfunction, without evidence of interaction by HIV status. Hence, the present findings do not support a stronger risk for HIV-HCV coinfection than HCV monoinfection, but the relatively modest sample size precludes decisive evaluation.

Potential explanations for the documented HCV-associated risk of incident LV dysfunction include HCV’s association with high-risk behaviors [33]. HCV-positive participants in our study had higher smoking and substance use than HCV-negative participants, but the association persisted after adjustment for these factors. HCV is also associated with glucose dysregulation, which may in part account for its reported link to atherosclerosis [15]. Such atherosclerotic disease, together with HCV-associated vasculitis [34], can eventuate in cardiac dysfunction. While diabetes did not differ significantly by HCV status at baseline, there was significantly more diabetes in the HCV-positive than HCV-negative group (47.5% vs. 29.6%, p=0.008) at follow-up. Self-reported myocardial infarction, which was infrequent at baseline, was near-significantly higher in HCV-positive than HCV-negative women (8.2% vs. 2.8%, p=0.064) at follow-up. Because these events were not adjudicated, however, and their timing relative to the onset of LV dysfunction indeterminate, the contribution of CHD to the incident LV dysfunction observed is uncertain.

Another possible mechanism is HCV-induced kidney disease [34]. While adjustment for baseline eGFR did not meaningfully affect risk estimates, differences in eGFR persisted at follow-up. In addition, HCV cardiotropism and direct cytotoxic damage could play a role, as may immune-mediated mechanisms or inflammation affecting cardiomyocytes, coronary endothelium, or both [15]. Liver fibroinflammatory disease may also be important [35]. Liver fibrosis scores were higher at baseline and follow-up in HCV-positive women, but adjustment for baseline levels did not dampen the effect estimates.

We did not find a significant association for HIV and incident LV dysfunction. Although risk estimates were increased, 95% CIs were wide, indicating limited power. Although multiple studies have linked HIV to LV dysfunction (cross-sectionally) [8] and HF (longitudinally) [46], these have included small proportions of women. Imaging studies in particular have lacked HIV-negative controls with the closely matched behavioral and clinical risk profiles available in WIHS. Moreover, the relationship of HIV with CVD has been shown especially among people with low CD4+ T-cell counts or lacking viremic suppression [46]. Women not receiving ART, or having CD4+ T-cell depletion or unsuppressed viremia, were a minority at follow-up echocardiography.

Certain ART medications have adverse metabolic and cardiovascular effects, particularly early generation PI’s and NRTI’s [1]. Among the latter, drugs such as zidovudine, stavudine and didanosine have been linked to mitochondrial toxicity and LV dysfunction [36]. But such medications were largely replaced with newer agents during follow-up in our study. And, notwithstanding its off-target effects, ART has been shown to reduce cardiovascular events in HIV [1]. Thus, the predominance of ART in our sample likely contributed to the lack of an observable association between HIV and new-onset LV dysfunction, presumably by lessening the potential effects of HIV-related inflammation and immune activation on LV myocardium [36].

Given the young age of our population, we applied for our primary outcome the 2009 ASE definition of LVDD, which may involve a tradeoff of greater sensitivity for lower specificity compared with the 2016 ASE definition [25]. Still, our secondary outcome involving the 2016 ASE definition, with two-thirds as many cases of new-onset LV dysfunction, yielded increased, if attenuated and non-significant, risk estimates for HCV. Less restrictive definitions of LVDD have been applied previously in a population-based setting, showing that new-onset or progression of LVDD predicts development of HF [37]. Comparison to the foregoing cohort is limited by differences in demographic and clinical profiles, duration of follow-up, and assessment of LVDD. Yet, if we consider the frequencies of cumulative LVDD of 6.7% (ASE 2009 definition) and LVSD of 2.2% among participants with neither infection from our entire sample of n=371 women at follow-up echocardiography (median age 53 [IQR 47–58]), these are broadly similar to the cross-sectional prevalences of LVDD of 9.6% and LVSD of 1.0% reported for women aged 45–64 in that population [38].

Hence, our findings are of clinical significance, suggesting that women in early middle-age infected with HCV carry a substantial risk of future HF. Although HCV may be a surrogate for adverse factors that may have gone unmeasured or incompletely measured in our analysis, the present findings tend to validate recent recommendations for expanding HCV screening to all U.S. adults 18 to 79 [12]. Given the implications of chronic HCV not just for liver disease but for cardiac dysfunction, the high sustained virologic responses achievable by direct antiviral agents [11], and evidence that such responses improve liver-related [39] and cardiovascular outcomes [40], our findings further support the public health mission to eradicate HCV through increased allocation of resources for screening and treatment efforts.

The corresponding lack of association for HIV among mostly immunocompetent, virally suppressed women receiving ART at follow-up is also important. This finding suggests that as compared with similar women at risk of HIV, women with well-controlled HIV may be subject to lower risk of cardiac dysfunction and its consequences, as supported by prior studies mostly of men [4, 5].

Several limitations merit attention. Given its observational design, the present study cannot demonstrate causality. Our study’s sample size was relatively modest, such that our risk estimates lacked precision, and our comparisons had insufficient power to detect moderate effects for HIV or HIV-HCV interaction. Nor could we meanigfully evaluate the impact of HIV-specific factors on risk in the HIV-positive group. The small number of events also limited the number of covariates that could be fitted in multivariable models, and evaluation of causal intermediates. Even upon broad inclusion of covariates, there was no evidence of model overfitting, but we cannot exclude the influence of residual confounding on our findings.

We defined HCV status as both exposure and active infection in order to enhance power. Hence, our findings are likely to underestimate the association between chronic HCV infection and LV dysfunction, since HCV exposure without chronic infection or successful HCV treatment would tend to bias our results toward the null hypothesis.

For LV dysfunction, we combined both LVDD and LVSD, distinct but related forms of myocardial disease [41], to maximize power. Although moderate/severe LVSD does represent a different subtype of HF than its counterpart with preserved LV systolic function [42], most of the incident cases of LVSD were of mild severity. Further, most incident cases comprised LVDD, consistent with its greater prevalence in general cohorts and in PLWH [8]. Thus, the present findings support the view that HIV, HCV and associated risk factors lead primarily to early perturbations in cardiomyocyte function and myocardial interstitium in middle-aged women, manifest as abnormalities in LV relaxation and stiffness [43]. Absent ischemic or other insults resulting in major cardiomyocyte loss, such LV diastolic abnormalities largely predate development of reductions in LVEF, as is the case for preclinical stages of HF generally [41].

It is possible that some women may have developed incident LVSD or LVDD between the baseline and follow-up echocardiograms, which might have resolved before the follow-up assessment. We are unable to capture such instances due to the nature of the study design. Last, participants who returned for follow-up echocardiography were in better health, such that our findings are not necessarily generalizable to the broader population.

In conclusion, we found that HIV-HCV-coinfected women had markedly higher risk of incident LV dysfunction than uninfected women, an association that was seen generally for women with HCV, but not for women with HIV receiving ART. Additional study is warranted in larger populations to evaluate the association of HIV and HCV monoinfection with incident LV dysfunction, and to elucidate underlying mechanisms.

Supplementary Material

Supplemental Data File (.doc, .tif, pdf, etc.)

Funding:

This study was supported by R01 HL132794 (JRK, JL, RCK), K24 HL135413 (JRK), K24 AI 108516 (PCT) and K01 HL 137557 (DBH). Data in this manuscript were collected by the Womens Interagency HIV Study (WIHS), now the MACS/WIHS Combined Cohort Study (MWCCS). The contents of this publication are solely the responsibility of the authors and do not represent the official views of NIH. MWCCS (Principal Investigators): Bronx CRS (Kathryn Anastos and Anjali Sharma), U01-HL146204; Brooklyn CRS (Deborah Gustafson and Tracey Wilson), U01-HL146202; Data Analysis and Coordination Center (Gypsyamber D’Souza, Stephen Gange and Elizabeth Golub). The MWCCS is funded primarily by the National Heart, Lung, and Blood Institute (NHLBI), with additional co-funding from the Eunice Kennedy Shriver National Institute Of Child Health & Human Development (NICHD), National Institute On Aging (NIA), National Institute Of Dental & Craniofacial Research (NIDCR), National Institute Of Allergy And Infectious Diseases (NIAID), National Institute Of Neurological Disorders And Stroke (NINDS), National Institute Of Mental Health (NIMH), National Institute On Drug Abuse (NIDA), National Institute Of Nursing Research (NINR), National Cancer Institute (NCI), National Institute on Alcohol Abuse and Alcoholism (NIAAA), National Institute on Deafness and Other Communication Disorders (NIDCD), National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institute on Minority Health and Health Disparities (NIMHD), and in coordination and alignment with the research priorities of the National Institutes of Health, Office of AIDS Research (OAR). MWCCS data collection is also supported by UL1-TR000004 (UCSF CTSA), P30-AI-050409 (Atlanta CFAR), P30-AI-050410 (UNC CFAR), and P30-AI-027767 (UAB CFAR).

Footnotes

Conflict of interest: JRK: Stock ownership in Bristol-Myers Squibb, Johnson & Johnson, Medtronic, Merck and Pfizer. SGS, JML, DBH, RSK, KA, MJG, PCT, JACL, RCK: No conflict.

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