Abstract
Background
Women with symptoms and signs of ischemia, preserved left ventricular ejection fraction (LVEF), and no obstructive coronary artery disease (CAD), often have coronary microvascular dysfunction (CMD), and are at risk of future heart failure with preserved ejection fraction (HFpEF). N-terminal pro-B-type natriuretic peptide (NT-proBNP) is used to evaluate HF and myocardial ischemia. Relationships between NT-proBNP and CMD are not well defined in this population.
Methods
We evaluated resting NT-proBNP levels in 208 women with symptoms and signs of ischemic heart disease, preserved LVEF and no obstructive CAD undergoing clinically indicated invasive coronary flow reserve (CFR) as a measure of CMD-related ischemia and resting left ventricular end-diastolic pressure (LVEDP). Chi-square testing was used for categorical variables and ANOVA or Kruskal-Wallis tests were used for continuous variables.
Results
Overall, 79% had an elevated resting LVEDP, and mean NT-proBNP was 115 ± 158 pg/mL. NT-proBNP levels correlated directly with age (r = 0.28, p = <0.0001), and indirectly with body mass index (r = -0.21, p = 0.0006), but did not independently associate with CFR. When stratified by NT-proBNP thresholds, higher NT-proBNP was initially associated with lower CFR, which did not persist with adjustment for multiple testing (p = 0.01 and 0.36, respectively).
Conclusion
Among women with symptoms and signs of ischemia, preserved LVEF, no obstructive CAD, and undergoing clinically indicated functional coronary angiography (FCA) for suspected CMD, while a majority had elevated resting LVEDP, we failed to find an independent association between CFR and NT-proBNP, although stratified clinical thresholds may relate to lower CFR. Further work is needed to investigate if these findings support the hypothesis that CMD-related ischemia may be a precursor to HFpEF.
Introduction
Women with symptoms and signs of myocardial ischemia, preserved left ventricular ejection fraction (LVEF), and no obstructive coronary artery disease (CAD), often have coronary microvascular dysfunction (CMD) [1]. While the mechanistic pathways of CMD are not fully understood, these women are at increased risk of major cardiovascular events, the most prevalent of which is hospitalization for heart failure with preserved ejection fraction (HFpEF) at longer term follow-up [2–4]. This finding has led to the hypothesis that ischemia due to CMD is precursor to the development of HFpEF [5,6].
To address this hypothesis, we investigated the relationship between CMD-related ischemia measured by coronary flow reserve (CFR) and N-terminal pro-B-type natriuretic peptide (NT-proBNP), an established biomarker of clinical heart failure [7–11], which is synthesized and secreted by ventricular cardiomyocytes under periods of increased myocardial wall stress and is also expressed in response to ischemia [12,13]. Further, NT-proBNP levels across a wide range of values non-diagnostic for heart failure (HF) predict mortality in patients with clinically stable CAD [14]. Because women with signs and symptoms of ischemic heart disease (IHD) without obstructive CAD often have elevated resting left ventricular end-diastolic pressures (LVEDP) [15,16] and are at risk for heart failure hospitalizations [2], we hypothesized that NT-proBNP is related to CMD-related ischemia. As part of the Women’s Ischemia Syndrome Evaluation—Coronary Vascular Dysfunction (WISE-CVD) Study, women were evaluated for CMD by clinically indicated invasive functional coronary angiography (FCA). We examined relations between NT-proBNP and CMD in the WISE-CVD women who underwent FCA.
Methods
We analyzed women with FCA in the National Heart, Lung and Blood Institute (NHLBI)-sponsored WISE-CVD Project (enrolled 2008–2015), a prospective cohort study aimed at improving pathophysiological understanding in women with IHD and angiographically no obstructive CAD. All studies were performed at Cedars-Sinai Medical Center, Los Angeles, or the University of Florida, Gainesville, where institutional review boards approved the project and all participants provided written informed consent.
Inclusion criteria for WISE-CVD included women ≥18 years old, with symptoms (chest pain, shortness of breath) and signs (abnormal stress testing) leading to a clinically determined coronary angiogram by a treating physician, preserved ejection fraction (LVEF >50%), and no history of heart failure, and no obstructive CAD, defined as ≥50% luminal diameter stenosis in ≥1 epicardial artery. Women in the current analysis also underwent clinically indicated FCA (n = 208). Exclusion criteria included acute coronary syndrome, prior percutaneous coronary intervention or bypass surgery, primary valvular heart disease, concurrent cardiogenic shock, chest pain with known non-ischemic pathogenesis, severe renal impairment, and cardiomyopathy (including hypertrophic cardiomyopathy). Participants underwent a baseline physical exam that included heart rate, blood pressure, height, weight, body mass index (BMI) determination, demographics and medical history.
Functional coronary angiography and invasive hemodynamic measurements
Invasive FCA, with vasoactive agents considered a reference standard for the diagnosis of CMD [17], was performed using a standardized protocol, including resting LVEDP prior to any provocative testing [17]. Briefly, a Doppler wire (Flowire, Volcano Inc) was placed in the proximal left anterior descending artery (LAD). Coronary micro- and macrovascular dilation and constriction pathways were then investigated by infusing intra-coronary adenosine, acetylcholine, and nitroglycerin directly into most often the LAD, as previously described [17,18]. Hemodynamic data, Doppler coronary blood flow (CBF) velocities, and coronary cine angiography were obtained after each infusion. Data were analyzed by the WISE core laboratory, masked to all clinical data. Coronary microvascular dilation dysfunction was defined as an adenosine-induced coronary flow reserve (CFR) <2.5, which we used as a measure of CMD-related ischemia, and has previously been show to predict adverse outcomes in a WISE [19] and other cohort studies [20]. We also evaluated coronary microvascular constriction dysfunction, defined as CBF change < 50% in response to acetylcholine [18], coronary macrovascular constriction dysfunction, defined as a lack of LAD diameter increase to intracoronary acetylcholine (ΔAch) [21], and coronary macrovascular dilation dysfunction, defined as a change in LAD diameter ≤ 20% in response to intracoronary nitroglycerin (ΔNTG). Clinically abnormal resting LVEDP was < 12 mmHg as previously defined [22–24].
Cardiac magnetic resonance imaging protocol
Cardiac magnetic resonance imaging (CMRI) was performed on all subjects in a supine position on a 1.5-Tesla CMRI scanner (Avanto: Siemens Healthcare, Erlangen, Germany) with ECG gating and a phase-array surface coil (CP Body Array Flex: Seimens Healthcare). A highly standardized protocol was used and included assessment of left ventricular morphology and function. Prior to the CMRI, an intravenous line placement was placed for the infusion of adenosine or regadenoson. Adenosine was used (set at 140mcg/kg/min) unless there was a contraindication to adenosine, in which case regadenoson was used (0.4 mg/5 mL). Pharmacological stress and rest first-pass myocardial perfusion imaging was obtained using gadolinium contrast agent set at 0.05mM/kg. Blood pressure and pulse oxygenation were monitored and recorded before, during and after infusion. A 12 lead ECG was recorded prior to and following the CMRI. CMRI images were downloaded to DIACOM formatted CDs and transmitted to CMRI core laboratory at Cedars-Sinai Medical Center.
NT-ProBNP
Venous blood samples were collected at rest during the baseline visit. Samples were frozen at -70⁰C and shipped for batch analyses at ICL laboratory (Mayo Clinic, Rochester, MN). NT-proBNP was measured by an automated double incubation sandwich assay on the Roche Cobas e411 (Roche Diagnostics, Indianapolis, IN 46250). Intra-assay coefficient of variation, at increasing NT-proBNP concentrations, are 2.2%, 1.1% and 0.8% at 56.9, 438 and 2092 pg/mL respectively. Inter-assay coefficient of variation is 7.8%, 3.0% and 2.5% at 36.1, 867 and 1986 pg/mL respectively. Clinical reference ranges vary for men versus women and for age; for our cohort of women with a mean age of 53 years, the clinical reference range was 5–155 pg/mL.
Statistical analysis
Baseline characteristics are summarized as mean ± standard deviation (SD). Pearson correlation using log NT-proBNP was performed for statistical analysis. NT-proBNP was log-transformed due to the skewed distribution in this cohort. Correlation was considered statistically significant if p was < 0.05. Additional NT-proBNP analysis were performed using clinically defined, thresholds, defined in prior studies to correlate with cardiovascular outcomes, according to NT-proBNP levels <100 pg/mL, 100–399 pg/mL, and ≥400 pg/mL [10,11,25–27]. Subject characteristics and measurements of CMD were analyzed in these subgroups. Fisher’s Exact test was used for categorical variables and Kruskal-Wallis tests were used for continuous variables. A Holm-Bonferroni multiple testing correction (ref) was used to adjust all the p-values from the tests among these three pre-defined BNP subgroups in Tables 1 and 2 [28].
Table 1. Baseline demographics.
Median and range, Mean±SD, or N (%) | n = 208 | NT-pro BNP <100pg/mL n = 144 | NT-pro BNP 100-399pg/mL n = 53 | NT-pro BNP ≥400pg/mL n = 11 | p-value | Holm adjusted p-value |
---|---|---|---|---|---|---|
Serum NT-proBNP pg/mL (median, range) | 65 (9, 1406) | 45 (9,98) | 153 (100, 373) | 510 (418, 1406) | - | - |
Age (years) | 53± 11 | 51 ± 11 | 58 ±10 | 61 ±13 | 0.0001 | 0.0043 |
BMI (kg/m2) | 31 ± 8 | 31.5 ± 8 | 29 ± 8 | 29 ± 6 | 0.07 | 1 |
Caucasian | 145 (70%) | 97 (67%) | 39 (74%) | 9 (83%) | 0.54 | 1 |
Post-menopausal | 135 (65%) | 86 (60%) | 39 (74%) | 10 (91%) | 0.04 | 1 |
History of Diabetes | 25 (12%) | 20 (14%) | 4 (8%) | 1 (9%) | 0.52 | 1 |
History of HTN | 79 (38%) | 48 (33%) | 25 (47%) | 6 (55%) | 0.10 | 1 |
History of DYS | 25 (12%) | 17 (12%) | 6 (11%) | 2 (18%) | 0.75 | 1 |
History of Tobacco use (current and former) | 92 (44%) | 63 (44%) | 22 (42%) | 7 (64%) | 0.40 | 1 |
Aspirin | 131 (63%) | 94 (65%) | 28 (53%) | 9 (82%) | 0.13 | 1 |
Statin | 70 (34%) | 46 (32%) | 20 (38%) | 4 (36%) | 0.73 | 1 |
ACE-I or ARB | 41 (20%) | 27 (19%) | 10 (19%) | 4 (36%) | 0.37 | 1 |
Beta Blocker | 49 (24%) | 28 (19%) | 18 (34%) | 3 (27%) | 0.09 | 1 |
Diuretics | 31 (15%) | 18 (13%) | 9 (17%) | 4 (36%) | 0.08 | 1 |
Hormone Therapy | 89 (43%) | 52 (36%) | 30 (57%) | 7 (64%) | 0.01 | 0.36 |
Systolic Blood Pressure (mmHg) | 128 ± 19 | 127 ± 18 | 128 ± 20 | 137 ± 20 | 0.20 | 1 |
Diastolic Blood Pressure (mmHg) | 71 ± 11 | 72 ± 11 | 68 ± 12 | 75 ± 13 | 0.06 | 1 |
Total Cholesterol (mg/dl) | 184 ± 41 | 184 ± 42 | 187 ± 35 | 165 ± 45 | 0.53 | 1 |
Low Density Lipoprotein (mg/dl) | 101 ± 33 | 103 ± 35 | 95 ± 28 | 97 ± 36 | 0.66 | 1 |
High Density Lipoprotein (mg/dl) | 58 ± 16 | 56 ± 15 | 64 ± 20 | 60 ± 7 | 0.13 | 1 |
Triglycerides (mg/dl) | 143 ± 134 | 146 ± 140 | 140 ± 129 | 99 ± 28 | 0.85 | 1 |
Fasting Glucose (mg/dl) | 98 ± 30 | 100 ± 34 | 93 ± 16 | 93 ± 13 | 0.69 | 1 |
Creatinine (mg/dl) | 0.85 ± 1.13 | 0.86 ± 1.32 | 0.84 ± 0.18 | 0.77 ± 0.12 | 0.01 | 0.36 |
Hemoglobin (g/dL) | 1 ± 2.1 | 13.2 ± 2.4 | 13 ± 1.1 | 13 ± 1.3 | 0.73 | 1 |
ACE-I = Angiotensin converting enzyme inhibitor, ARB = Angiotensin receptor blocker, BMI = body mass index, HTN = hypertension, DYS = dyslipidemia, NT-pro BNP = N-terminal pro-B-type natriuretic peptide. The tests for categorical variable comparisons across BNP categories was Fisher’s Exact test, the test for continuous variables was Kruskal-Wallis test (non-normal distribution or outliers).
Table 2. CMRI and CMD variables by NT-proBNP groups (n = 208).
Mean ±SD or % | NT-pro BNP <100 pg/mL n = 144 | NT-pro BNP 100–399 pg/mL n = 53 | NT-pro BNP ≥400 pg/mL n = 11 | p-value | Holm adjusted p-value | |
---|---|---|---|---|---|---|
FCA variables | ||||||
CFR | 2.7 ± 0.6 | 2.8 ± 0.6 | 2.6 ± 0.6 | 2.3 ± 0.7 | 0.01 | 0.36 |
CBF response (%) | 67.72 ± 90.35 | 73.52 ± 95.39 | 55.43 ± 71.12 | 31.91 ± 48.58 | 0.25 | 1 |
ΔAch (%) | -9.43 ± 20.07 | -10.75 ± 20.72 | -6.46 ± 17.84 | -6.15 ± 22.4 | 0.43 | 1 |
ΔNTG (%) | 5.08 ± 20.84 | 4.6 ± 20.87 | 6.75 ± 20.66 | 2.85 ± 23.61 | 0.80 | 1 |
LVEDP (mmHg) | 15 ± 5 | 15 ± 5 | 15 ± 5 | 16 ± 9 | 0.98 | 1 |
CMRI variables | ||||||
Ejection Fraction % | 67±7 | 67 ± 7 | 69 ± 8 | 65 ± 11 | 0.82 | 1 |
Left Ventricular Mass (g) | 95±18 | 95 ±18 | 89 ± 12 | 107 ± 30 | 0.07 | 1 |
End Diastolic Volume | 124±25 | 124±26 | 121±19 | 126±32 | 0.80 | 1 |
End Systolic Volume | 41±14 | 41±14 | 38±11 | 43±17 | 0.79 | 1 |
Stroke Volume | 83±18 | 83±17 | 83±15 | 83±30 | 0.86 | 1 |
Ach = acetylcholine, CBF = coronary blood flow, CFR = coronary flow reserve, FCA = functional coronary angiography, LVEDP = left ventricular end diastolic filling pressure, NTG = nitroglycerin, NT-pro BNP = N-terminal pro-B-type natriuretic peptide.
The tests for categorical variable comparisons across BNP categories was Fisher’s Exact test, the test for continuous variables Kruskal-Wallis test (non-normal distribution or outliers).
Multiple linear regression was used to assess the association of the outcome of log transformed NT-proBNP with CFR, adjusting for covariates listed subsequently. Regression analyses were conducted in stages as follows: Model I is unadjusted, Model II is adjusted for age, and body mass index, Model III is adjusted for age, body mass index, education level, fasting glucose, history of hypertension, history of diabetes, history of dyslipidemia, high-density lipoprotein, low-density lipoprotein, creatinine, systolic and diastolic blood pressure, heart rate, medications (antihypertensive, statin and diabetic medications), physical activity and smoking status. All analyses were done using SAS version 9.3 (SAS Institute, Cary, NC).
Results
Pertinent baseline characteristics are summarized for the total group and stratified by NT-proBNP levels (Table 1). Overall group median NT-proBNP was 69 pg/mL (range 9–1406 pg/mL) with 5% (n = 11/208) of subjects having an NT-proBNP >400 pg/mL. A subset of 186 women with complete LVEDP measurement demonstrated that 79% (n = 146/186) had an LVEDP (≥12mmHg), and 25% (n = 46/186) had an LVEDP >18mmHg. Log NT-proBNP directly correlated with age (r = 0.28, p = <0.0001), and inversely with BMI (r = -0.21, p = 0.0006), but not LVEDP.
Analysis using the pre-specified subgroup analysis of clinically-defined thresholds of NT-proBNP (<100, 100–399, and ≥400 pg/mL) [10,11,25–27] revealed graded direct relationships between higher NT-proBNP with age, post-menopausal status, hormone replacement therapy use, diastolic blood pressure and lower creatinine levels (Table 1). Further, higher NT-proBNP demonstrated a graded relationship with lower CFR (Table 2, Fig 1), although this did not remain statistically significant following multiple test adjustment (p = 0.01, and p = 0.36, respectively, Table 2). Notably, this was most evident in the small subgroup of 11 women above the clinically “abnormal” NT-proBNP threshold >400 mg/dL, where 6 (46%) had an abnormal resting LVEDP of >12 mmHg, and 6 (46%) had an abnormal CFR of <2.5.
Linear regression models showed no unadjusted linear association between log NT-proBNP and CFR (estimate -0.17 per unit increase in CFR, p = 0.14). There were consistent associations between log NT-proBNP and age and BMI, respectively, with CFR in the model. Increasing one year of age was associated with 0.029 increase in log NT proBNP (p<0.0001), adjusted for BMI and CFR. Further, an increase of one unit of BMI was associated with a 0.021 decrease in log NT-proBNP (p = 0.017), although CFR had a non-significant decreasing association with log NT proBNP (p = 0.12). Further adjustment by other factors did not show associations between CFR and log NT-proBNP.
Discussion
Among women with symptoms and signs of ischemia, preserved LVEF, no obstructive CAD, while a majority had elevated resting LVEDP, the current analyses do not support a strong association between CFR and NT-proBNP across the cohort. Although CFR indicative of CMD-related ischemia was lower in the small subgroup of women with elevated NTproBNP >400 mg/dL consistent with heart failure, this was not a common finding. Indeed, given the cohort exclusion criteria of preserved LVEF and no prior history of heart failure, this low prevalence is not surprising. Viewing the full cohort findings, our data suggest that further work is needed to test the hypothesis that CMD-related ischemia may be a precursor to HFpEF in this population.
Our analyses stratified by clinically relevant NT-proBNP levels demonstrating higher NT-proBNP associated with lower CFR are consistent prior reports. Specifically, in the Multi-Ethnic Study of Atherosclerosis (MESA) in a population with a wider range of flow reserve values, myocardial perfusion reserve in asymptomatic subjects free of overt CVD was inversely related to NT-proBNP, suggesting that subclinical CMD is related to elevated levels of NT-proBNP [29]. Notably, this MESA study demonstrated that one of the strongest predictors of NT-proBNP was older age, male sex, and diabetes. Conversely, the WISE-CVD population was middle-aged, all-female, with lower prevalence of diabetes and used CFR to evaluate CMD. However, both results suggest potential relations between CMD and NT-proBNP.
A more recent study by Hirakawa et al. [30] of clinically stable HF patients without obstructive CAD examined relationships between endothelial-independent CMD and plasma B-type natriuretic peptide (BNP) levels, as well as whether each measure correlated with myocardial fibrosis. Trans-cardiac BNP release was determined by sampling from the coronary sinus and aorta while cardiac magnetic resonance imaging evaluated the presence of myocardial scar (late gadolinium enhancement). These investigators also found CFR inversely correlated with plasma BNP levels and trans-cardiac BNP levels, however only among those with late gadolinium enhancement myocardial scar. A BNP level >180 pg/mL independently predicted CFR <2.5 in this population with confirmed heart failure [30]. This group previously reported endothelium-dependent microvascular dysfunction correlated with cardiac fibrosis in heart failure patients without obstructive CAD [31]. Our findings extend these observations, and suggest that ventricular scar and fibrosis may be the relatively greater contributors to future heart failure, compared to ischemia [32].
We found that women with higher NT-proBNP levels and lower CFR were more often post-menopausal and on hormone replacement therapy. There are conflicting data related to menopause and hormone replacement therapy and NT-proBNP. More recent studies have shown that post-menopausal status and estrogen use does not appear to be associated with increased levels of NT-proBNP [33,34]. Other baseline differences in our women with higher NT-proBNP included lower creatinine levels measured at baseline. This is in contrast to previous studies showing higher levels of NT-proBNP related to lower glomerular filtration rate [35,36]. This inconsistency could be due to our unique female-specific population, relatively small sample size, or other unknown factors, and underscore the need for research in women and sex-specific investigation.
In our cohort, while the majority had an elevated resting LVEDP, women with clinical heart failure were excluded, and few women (5%) met the clinical threshold “heart failure” level of NT-proBNP >400pg/mL. The exact mechanism for these elevated LVEDP measurements in these women is not understood. The women were on average overweight, over a third had history of hypertension and 12% diabetes. We have previously observed impaired ventricular diastolic function in women with CMD [37], which we have hypothesized contributes to the elevated LVEDP [37]. Elevated LVEDP is an independent predictor of future HF [38] and correlates with NT-proBNP [39,40]. Interestingly, LVEDP did not relate with NT-proBNP in this analysis, and thus it is possible that NT-proBNP requires a minimum LVEDP elevation or ischemia threshold to be surpassed to become elevated. Previous reports demonstrate poor relations between LVEDP and NT-proBNP in obese patients [41] which was evident in our cohort. This explanation is also consistent with previous reports in asymptomatic patients [39,40].
An NT-proBNP ≥ 400 pg/mL has been associated with higher rates of HF and cardiovascular events in patients with stable obstructive CAD. [11,26] and our results evaluated only the central parts of the curvilinear relationship between CFR and NT-proBNP [42], because healthy women and stage C and D of heart failure were not included in our cohort. However, all levels of NT-proBNP provide prognostic information on all-cause mortality, independent of invasive measures of left ventricular function and severity of obstructive CAD [14]. Our clinically relevant thresholds of NT-proBNP, were associated with reduced CFR, and these thresholds are independent predictors of clinical adverse events [2,43]. Our NT-proBNP positive relations to age and negative relation to BMI are also consistent with previous work [44–47]. Our current results extend these previous observations by demonstrating that relations between age and NT-proBNP appear to be maintained in women younger than previously studied [44,45], and contribute to knowledge gaps regarding CMD, a relatively newer recognized and increasing burden in women and men [48].
Limitations
Our study is limited by a relatively small sample size, especially those with NT-proBNP level ≥400 pg/dL due to our exclusion of heart failure, in our cohort of women with signs and symptoms of ischemia, preserved LVEF and no obstructive CAD. Because our study is a cross-sectional design of women with a high prevalence of CMD, with a limited range of coronary flow reserves, it is possible that we have underestimated the true extent of the associations. Specifically, we used linear regression analyses to assess the relationship between NT-proBNP and CFR which is curvilinear [42], due to our cohort not including reference control and Class C and D heart failure women. Serial measurements or even trans-myocardial gradients, may provide more detailed information about relations between CMD-related ischemia and NT-proBNP. It is possible that our results were influenced by medications known to lower NT-proBNP, including the use of ACE-inhibitor or angiotensin receptor blocker, beta blocker [49], and hormone replacement therapy that can increase NT-proBNP levels [50]. We purposely did not exclude women on these medications in our analysis because we believe that it is important to test the predictive value of NT-proBNP under “real-life” circumstances; nevertheless, medication use did enter the regression modeling. Further, the aim of the hypothesis testing done was to explore associations of the NT-proBNP in all the women with data available in this cohort. It was not a randomized clinical trial and no control group was available for analysis. We have added a Holm-Bonferroni multiple testing correction for all the hypothesis tests looking at differences among the categorical NT-proBNP subgroups for potential confounding. The only significant difference among these groups after applying this correction was in age. Finally, LVEDP and NT-proBNP were measured at fasting, resting conditions, while stress-LVEDP would be more sensitive and diagnostic for heart failure [51].
Conclusions
Among women with symptoms and signs of ischemia, preserved LVEF and no obstructive CAD, and undergoing clinically-indicated FCA for suspected CMD, while a majority had elevated resting LVEDP, we failed to find an association between CFR and NT-proBNP. CFR indicative of CMD-related ischemia was lower when stratified by clinical thresholds of NT-proBNP in the small subgroup of women with elevated NTproBNP >400 mg/dL consistent with heart failure, however this was not a common finding. Further work is needed to investigate if these findings support the hypothesis that CMD-related ischemia may be a precursor to HFpEF in this population and require further investigation.
Supporting information
Data Availability
All relevant data are within the manuscript and its Supporting Information files.
Funding Statement
This was supported by the National Heart, Lung and Blood Institute (NHLBI) under grant numbers N01HV68161, N01HV68162, N01HV68163, N01HV68164, U01HL64829, U01HL64914, U01HL64924, K23HL105787, T32HL69751, R01HL090957, R01HL33610, R01HL56921, UM1HL087366, R00HL124323, K23HL105787, K23HL125941, T32HL69751, K23HL127262; the National Institute on Aging (NIA) under grant number R03AG032631; the National Center for Research Resources (NCRR) under grant number M01RR000425; the National Center for Advancing Translational Sciences (NCATS) under grant numbers UL1TR000124, UL1TR000064, UL1TR001427. This work was also supported by grants from the Gustavus and Louis Pfeiffer Research Foundation, Danville, NJ; The Ladies Hospital Aid Society of Western Pennsylvania, Pittsburgh, PA; The Society for Women’s Health Research (SWHR), Washington, D.C.; QMED, Inc., Laurence Harbor, NJ; The Women's Guild of Cedars-Sinai, the Edythe L. Broad, the Constance Austin Women's Heart Research Fellowships, the Barbra Streisand Women's Cardiovascular Research and Education Program, the Linda Joy Pollin Women's Heart Health Program, the Erika J. Glazer Women's Heart Research Initiative, and The Adelson Family Foundation, Cedars-Sinai Medical Center, Los Angeles, CA; the Gatorade Trust and the PCORnet-One Florida Clinical Research Consortium CDRN-1501-26692, University of Florida, Gainesville, FL. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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