Association of N-terminal pro-B natriuretic peptide with all-cause mortality and cardiovascular mortality in obese and non-obese populations and the development of a machine learning prediction model: National Health and Nutrition Examination Survey (NHANES) 1999-2004.

Journal: Diabetes, obesity & metabolism

PMID: 39239686

Abstract

AIMS: To explore the potential of N-terminal pro-B natriuretic peptide (NTproBNP) in identifying adverse outcomes, particularly cardiovascular adverse outcomes, in a population with obesity, and to establish a risk prediction model.

Authors

Han Zhou

Jiangsu Provincial Key Laboratory of Special Robot Technology, Hohai University, Changzhou, China.
Chen Yang

Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Jingjie Li

School of Nursing, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Lin Sun

College of Computer and Information Engineering, Henan Normal University, Xinxiang, China.

Keywords

Adult Aged Biomarkers Cardiovascular Diseases Cause of Death Female Humans Machine Learning Male Middle Aged Natriuretic Peptide, Brain Nutrition Surveys Obesity Peptide Fragments Predictive Value of Tests Proportional Hazards Models Risk Assessment United States

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View on PubMed Access via DOI PubMed (39239686)

Association of N-terminal pro-B natriuretic peptide with all-cause mortality and cardiovascular mortality in obese and non-obese populations and the development of a machine learning prediction model: National Health and Nutrition Examination Survey (NHANES) 1999-2004.

Abstract

Authors

Keywords

External Resources

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