2021
DOI: 10.1016/j.jchf.2021.05.014
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NT-proBNP for Risk Prediction in Heart Failure

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Cited by 30 publications
(25 citation statements)
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References 47 publications
(45 reference statements)
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“…NT-proBNP levels are inversely correlated with body mass index, and clinicians should take this into consideration when observing values in pregnancy. 34 Our findings were similar when taking into account body mass index, and although our cohort was mostly normal/mildly overweight before pregnancy (80%), 20% were obese suggesting that the changes in NT-proBNP observed through pregnancy and between subgroups are likely widely applicable. The majority of women (98%) in this cohort have normal renal function; therefore, our findings should not be extrapolated to women with renal dysfunction.…”
Section: Discussionsupporting
confidence: 76%
“…NT-proBNP levels are inversely correlated with body mass index, and clinicians should take this into consideration when observing values in pregnancy. 34 Our findings were similar when taking into account body mass index, and although our cohort was mostly normal/mildly overweight before pregnancy (80%), 20% were obese suggesting that the changes in NT-proBNP observed through pregnancy and between subgroups are likely widely applicable. The majority of women (98%) in this cohort have normal renal function; therefore, our findings should not be extrapolated to women with renal dysfunction.…”
Section: Discussionsupporting
confidence: 76%
“…Then, Cox proportional hazards regression analysis was used to determine the multivariable-adjusted association of SHS exposure time with incident HF (any, HFrEF, HFpEF, and HF of ischaemic and non-ischaemic origins) in the self-report cohort and in the cohort subset. Covariates used in the model were chosen based on previously published associations with active smoking and HF, [30][31][32][33][34][35][36] which included age, sex, race/ethnicity, education level, income status, health insurance status, BMI, tobacco pack-years, alcohol intake status, diabetes status, hypertension status, CKD status, total cholesterol, statin use, physical activity, hs-CRP (log e transformed), NT-proBNP (log e transformed), the use of antipsychotics or tricyclic antidepressants, and urinary creatinine (for the cohort subset only). Since hypertension accounted for more than half of the HF events in the MESA study, 37 and urinary cotinine excretion may be lower in CKD, 38 both hypertension and CKD were crucial confounders of the association.…”
Section: Discussionmentioning
confidence: 99%
“…Future investigations focused on HFpEF risk among individuals with obesity to elucidate the role of BMI-specific cutoffs for natriuretic peptide assessment, as well as the identification of other specific biomarkers or noninvasive surrogates of early hemodynamic HFpEF will be important. 13 Additionally, the role of evolving medical therapies in individuals with hemodynamic HFpEF without overt rest congestion remains to be studied.…”
Section: Discussionmentioning
confidence: 99%
“…12 Additionally, NT-proBNP (N-terminal pro-B-type natriuretic peptide) values are consistently lower in the setting of obesity, limiting biochemical corroboration of HFpEF diagnosis. 10,13 Finally, echocardiographic assessment may be more challenging in the setting of obesity due to limited acoustic windows, as well as underestimation of circulatory congestion using traditional measures of diastolic function. 14 In this study, we sought to investigate the prevalence of clinically unrecognized HFpEF among a sample of adults with obesity and exertional dyspnea without known clinical HFpEF or underlying cardiovascular disease (CVD).…”
mentioning
confidence: 99%