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      Association of Long-term Change in N-Terminal Pro–B-Type Natriuretic Peptide With Incident Heart Failure and Death

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          Abstract

          Importance

          Most studies, especially in primary prevention patients, have evaluated N-terminal B-type natriuretic peptide (NT-proBNP) at one time point. Evaluation of change in NT-proBNP may improve risk stratification for incident cardiovascular events.

          Objective

          To assess the association between change in NT-proBNP and risk for incident heart failure (HF) and death.

          Design, Setting, and Participants

          Participants were recruited from 4 US communities enrolled in the Atherosclerosis Risk in Community (ARIC) study. Individuals who attended ARIC visits 2 and 4 (approximately 6 years apart) with measurements of NT-proBNP and without prevalent HF were included. Assays of NT-proBNP were conducted between 2011 and 2013, and analysis took place between July 2021 and October 2022.

          Exposures

          The primary exposure variable was NT-proBNP change between visits 2 and 4, modeled as change categories (<125 pg/mL or ≥125 pg/mL) and as percent change.

          Main Outcomes and Measures

          The primary outcome measures were incident HF hospitalization and all-cause death. The association between changes in cardiovascular risk factors with change in NT-proBNP was further assessed.

          Results

          A total of 9776 individuals (mean [SD] age, 57.1 [5.7] years at visit 2; 5523 [56.5%] women) were included in the study. Compared with participants with NT-proBNP level less than 125 pg/mL at both visits, participants with NT-proBNP level of 125 pg/mL or higher at both visits had an increase in incident HF (adjusted hazard ratio [HR], 2.40 [95% CI, 2.00-2.88]) and mortality risk (HR, 1.68 [95% CI, 1.47-1.91). Participants with NT-proBNP levels of 125 pg/mL or higher at visit 2 and less than 125 pg/mL at visit 4 had similar risk for HF and death (HR, 1.01 [95% CI, 0.71-1.43]; HR, 0.79 [95% CI, 0.61-1.01]) compared with the group with NT-proBNP levels of less than 125 pg/mL at both visits. The percent change in NT-proBNP was positively associated with HF and death (HR, 1.06 [95% CI, 1.02-1.10]; HR, 1.05 [95% CI, 1.03-1.08] per 1-SD increase, respectively). Change in systolic blood pressure, low-density lipoprotein cholesterol, triglyceride level, body mass index, and estimated glomerular filtration rate were significantly associated with change in NT-proBNP.

          Conclusions and Relevance

          In this study, 6-year change in NT-proBNP reflected dynamic change in risk for HF events and death among community-dwelling adults without prevalent clinical HF. These results support the utility of serial NT-proBNP measurements to improve risk stratification of patients with pre-HF.

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          Most cited references35

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          A new equation to estimate glomerular filtration rate.

          Equations to estimate glomerular filtration rate (GFR) are routinely used to assess kidney function. Current equations have limited precision and systematically underestimate measured GFR at higher values. To develop a new estimating equation for GFR: the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Cross-sectional analysis with separate pooled data sets for equation development and validation and a representative sample of the U.S. population for prevalence estimates. Research studies and clinical populations ("studies") with measured GFR and NHANES (National Health and Nutrition Examination Survey), 1999 to 2006. 8254 participants in 10 studies (equation development data set) and 3896 participants in 16 studies (validation data set). Prevalence estimates were based on 16,032 participants in NHANES. GFR, measured as the clearance of exogenous filtration markers (iothalamate in the development data set; iothalamate and other markers in the validation data set), and linear regression to estimate the logarithm of measured GFR from standardized creatinine levels, sex, race, and age. In the validation data set, the CKD-EPI equation performed better than the Modification of Diet in Renal Disease Study equation, especially at higher GFR (P < 0.001 for all subsequent comparisons), with less bias (median difference between measured and estimated GFR, 2.5 vs. 5.5 mL/min per 1.73 m(2)), improved precision (interquartile range [IQR] of the differences, 16.6 vs. 18.3 mL/min per 1.73 m(2)), and greater accuracy (percentage of estimated GFR within 30% of measured GFR, 84.1% vs. 80.6%). In NHANES, the median estimated GFR was 94.5 mL/min per 1.73 m(2) (IQR, 79.7 to 108.1) vs. 85.0 (IQR, 72.9 to 98.5) mL/min per 1.73 m(2), and the prevalence of chronic kidney disease was 11.5% (95% CI, 10.6% to 12.4%) versus 13.1% (CI, 12.1% to 14.0%). The sample contained a limited number of elderly people and racial and ethnic minorities with measured GFR. The CKD-EPI creatinine equation is more accurate than the Modification of Diet in Renal Disease Study equation and could replace it for routine clinical use. National Institute of Diabetes and Digestive and Kidney Diseases.
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              2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines

              The “2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure” replaces the “2013 ACCF/AHA Guideline for the Management of Heart Failure” and the “2017 ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure.” The 2022 guideline is intended to provide patient-centric recommendations for clinicians to prevent, diagnose, and manage patients with heart failure. A comprehensive literature search was conducted from May 2020 to December 2020, encompassing studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (PubMed), EMBASE, the Cochrane Collaboration, the Agency for Healthcare Research and Quality, and other relevant databases. Additional relevant clinical trials and research studies, published through September 2021, were also considered. This guideline was harmonized with other American Heart Association/American College of Cardiology guidelines published through December 2021. Heart failure remains a leading cause of morbidity and mortality globally. The 2022 heart failure guideline provides recommendations based on contemporary evidence for the treatment of these patients. The recommendations present an evidence-based approach to managing patients with heart failure, with the intent to improve quality of care and align with patients’ interests. Many recommendations from the earlier heart failure guidelines have been updated with new evidence, and new recommendations have been created when supported by published data. Value statements are provided for certain treatments with high-quality published economic analyses.
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                Author and article information

                Journal
                JAMA Cardiology
                JAMA Cardiol
                American Medical Association (AMA)
                2380-6583
                February 08 2023
                Affiliations
                [1 ]Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas
                [2 ]now with Houston Methodist DeBakey Heart & Vascular Center, Houston, Texas
                [3 ]Division of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine, Houston, Texas
                [4 ]Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins Bayview Medical Center, Baltimore, Maryland
                [5 ]Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
                [6 ]Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
                [7 ]Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
                [8 ]Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
                Article
                10.1001/jamacardio.2022.5309
                36753229
                4d5f88b9-2791-417f-b3eb-8e489d5b05ec
                © 2023
                History

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