scholarly journals Serum Bicarbonate Is Associated with Heart Failure in the Multi-Ethnic Study of Atherosclerosis

2016 ◽  
Vol 45 (2) ◽  
pp. 118-126 ◽  
Author(s):  
Jessica B. Kendrick ◽  
Leila Zelnick ◽  
Michel B. Chonchol ◽  
David Siscovick ◽  
Andrew N. Hoofnagle ◽  
...  

Background: Low serum bicarbonate concentrations are associated with mortality and kidney disease progression. Data regarding associations between bicarbonate and cardiovascular disease (CVD) are scarce. Methods: We performed a cohort study of 6,229 adult participants from the Multi-Ethnic Study of Atherosclerosis, a community-based cohort free of CVD at baseline. Serum bicarbonate was measured at baseline. Cardiovascular outcomes were defined as: (1) subclinical CVD (left ventricular mass [LVM] and aortic pulse pressure [PP] measured at baseline), (2) incident atherosclerotic cardiovascular events (CVE; composite of myocardial infarction, resuscitated cardiac arrest, stroke, coronary heart disease death, and stroke death), and (3) incident heart failure. Results: During a median (interquartile range) follow-up of 8.5 (7.7-8.6) years, 331 (5.3%) participants had an incident CVE and 174 (2.8%) developed incident heart failure. We stratified analyses by use of diuretics because we observed a significant interaction between diuretic use and bicarbonate with study outcomes. Among diuretic nonusers, with adjustment, bicarbonate ≥25 mEq/L was associated with an estimated 3.0 g greater LVM (95% CI 0.5-5.0) and 1.0 mm Hg higher aortic PP (95% CI 0.4-2.0) compared to bicarbonate 23-24 mEq/L. Each 1 mEq/L of bicarbonate increase was associated with a 13% higher risk of incident heart failure (hazards ratio 1.13, 95% CI 1.01-2.11). Among diuretic users, higher bicarbonate was not associated with CVD. Bicarbonate was not associated with incident atherosclerotic CVE irrespective of diuretic use. Conclusion: Among nonusers of diuretics in a large community-based study, higher serum bicarbonate concentrations are associated with subclinical CVD and new heart failure.

2017 ◽  
Vol 20 (7) ◽  
pp. 1106-1114 ◽  
Author(s):  
Tor Biering-Sørensen ◽  
Gabriela Querejeta Roca ◽  
Sheila M. Hegde ◽  
Amil M. Shah ◽  
Brian Claggett ◽  
...  

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Michael M Hammond ◽  
Amy Krefman ◽  
Hongyan Ning ◽  
Norrina B Allen ◽  
Sanjiv J Shah ◽  
...  

Introduction: Indices of cardiac structure and function, such as left ventricular (LV) mass and ejection fraction (EF), have individually been associated with development of incident heart failure (HF). Identifying HF risk groups (or phenogroups) based on imaging parameters may help inform distinct imaging phenotypes to target for prevention. Objectives: To identify phenogroups based on cardiovascular magnetic resonance imaging (cMRI) parameters in participants free of cardiovascular disease at baseline and examine longitudinal risk of incident HF. Methods: We included participants from the Multi-Ethnic Study of Atherosclerosis (MESA) who had completed baseline cMRI between 2000 and 2002. We applied latent class analysis to define phenogroups based on cMRI parameters of right ventricular and LV structure and function (including circumferential strain) at baseline (using the Bayesian Information Criterion as well as visual inspection). We used Cox-proportional hazard models to assess the association between membership in a phenogroup and risk of incident HF adjusted for age, sex, race, hypertension, diabetes, and hyperlipidemia. Results: Of 1484 participants, 48% were female and mean age was 65 (10) years. Over a median follow-up of 13 years, a total of 91 incident HF events occurred. We identified 3 distinct phenogroups that differed in terms of cardiac structure and function. Adjusted hazards ratio (95% confidence interval) for incident HF was higher among participants in Group 3 (2.08 [1.17, 3.71]) and Group 2 (2.24 [1.15, 4.37]), compared with Group 1 as the referent ( Table ). Conclusion: Phenogroups based on cMRI were differentially associated with risk of HF. Classification of cardiovascular imaging phenogroups integrating traditional and strain parameters within the normal range may be useful in identifying risk for HF; further validation is required before implementation.


2015 ◽  
Vol 21 (8) ◽  
pp. S84 ◽  
Author(s):  
Tor Biering-Sørensen ◽  
Gabriela Querejeta Roca ◽  
Sheila Hegde ◽  
Amil Shah ◽  
Brian Clagett ◽  
...  

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