Determining kidney function-specific thresholds for N-terminal pro-B-type natriuretic peptide in heart failure risk prediction among patients with chronic kidney disease: a multicentre, observational, cohort study

医学 利钠肽 心力衰竭 肾脏疾病 观察研究 肾功能 内科学 队列 队列研究 心脏病学
作者
Yi Lu,Junzhe Chen,Ruixuan Chen,Andrew Fanuel Lukwaro,Shiyu Zhou,Yuxin Luo,Sheng Nie,Ying Tang
出处
期刊:Heart [BMJ]
卷期号:111 (17): 828-834 被引量:2
标识
DOI:10.1136/heartjnl-2024-324679
摘要

BACKGROUND: Elevated N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels are common in patients with chronic kidney disease (CKD), but uniform thresholds derived from the general population may not accurately predict heart failure (HF) risk across stages of kidney function. This study aimed to determine whether thresholds specific to kidney function categories improve HF risk prediction in CKD. METHODS: This retrospective cohort study used data from the China Renal Data System, including 18 261 patients with CKD without prior HF. Kidney function-specific thresholds for NT-proBNP were established based on estimated glomerular filtration rate (eGFR) categories, and associations with HF risk were assessed using multivariable Cox proportional hazard models. The predictive value of these thresholds was compared with a uniform threshold of 125 pg/mL using Net Reclassification Improvement (NRI). RESULTS: Elevated NT-proBNP was observed in 67% of patients using the uniform threshold compared with 23% when using eGFR-specific thresholds. Optimal NT-proBNP thresholds increased with declining kidney function, reaching the highest level in stage 5 CKD (eGFR <15 mL/min/1.73 m²). eGFR-specific thresholds significantly improved HF risk prediction, with NRI gains of 19% to 55% across stages 1 to 5, while the uniform threshold added no predictive value for patients with stage 5 CKD. CONCLUSIONS: In patients with CKD, NT-proBNP levels must be interpreted in the context of kidney function, as eGFR-specific thresholds provide superior HF risk stratification. These findings support adopting kidney function-adjusted thresholds rather than a uniform cut-off to improve HF risk prediction.
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