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Abstract Title
NT-proBNP Outperforms Traditional Biomarkers in Predicting Cardiovascular-Kidney Events and Mortality in Multi-ethnic Asian Adults with Type 2 Diabetes
Presentation Type
Poster Presentation
Type Reference
Scientific Research Abstract
Abstract Category
Diabetes
Author's Information
Number of Authors (including submitting/presenting author) *
11
No more than 15 authors can be listed (as per the Good Publication Practice (GPP) Guidelines).
Please ensure the authors are listed in the right order.
Co-author 1
Yong Mong Bee bee.yong.mong@singhealth.com.sg Singapore General Hospital Department of Endocrinology Singapore Singapore * Duke-National University of Singapore Medical School Medicine Academic Clinical Programme Singapore Singapore
Co-author 2
Gek Hsiang Lim lim.gek.hsiang@sgh.com.sg Singapore General Hospital Health Services Research Unit Singapore Singapore -
Co-author 3
Si Yu Tan tan.si.yu@sgh.com.sg Singapore General Hospital Department of Clinical Pathology Singapore Singapore -
Co-author 4
Jayme Sau Yeng Wong jayme.wong.s.y@sgh.com.sg Singapore General Hospital Department of Clinical Pathology Singapore Singapore -
Co-author 5
Chin Pin Yeo yeo.chin.pin@singhealth.com.sg Singapore General Hospital Department of Clinical Pathology Singapore Singapore - Duke-National University of Singapore Medical School Pathology Academic Clinical Programme Singapore Singapore
Co-author 6
George Boon Bee Goh goh.boon.bee@singhealth.com.sg Singapore General Hospital Department of Gastroenterology and Hepatology Singapore Singapore - Duke-National University of Singapore Medical School Medicine Academic Clinical Programme Singapore Singapore
Co-author 7
Hong Chang Tan tan.hong.chang@singhealth.com.sg Singapore General Hospital Department of Endocrinology Singapore Singapore - Duke-National University of Singapore Medical School Medicine Academic Clinical Programme Singapore Singapore
Co-author 8
Jia Liang Kwek kwek.jia.liang@singhealth.com.sg Singapore General Hospital Department of Renal Medicine Singapore Singapore - Duke-National University of Singapore Medical School Medicine Academic Clinical Programme Singapore Singapore
Co-author 9
Feiqiong Huang feiqiong@us2.ai Us2.ai NA Singapore Singapore -
Co-author 10
Chanchal Chandramouli chanchal@duke-nus.edu.sg National Heart Centre Singapore Department of Cardiology Singapore Singapore - Duke-National University of Singapore Medical School Cardiovascular Sciences Academic Clinical Programme Singapore Singapore
Co-author 11
Carolyn Su Ping Lam carolyn.lam@duke-nus.edu.sg National Heart Centre Singapore Department of Cardiology Singapore Singapore - Duke-National University of Singapore Medical School Cardiovascular Sciences Academic Clinical Programme Singapore Singapore
Co-author 12
Co-author 13
Co-author 14
Co-author 15
Abstract Content
Background and aims *
N-terminal pro B-type natriuretic peptide (NT-proBNP) is a well-established marker of myocardial stress and heart failure, but its value for predicting broader cardiovascular-kidney outcomes in multi-ethnic Asian populations with type 2 diabetes (T2D) remains unclear. This study aimed to compare the predictive performance of NT-proBNP with traditional biomarkers (high-sensitivity C-reactive protein, troponin-T, albuminuria, and HbA1c) for cardiovascular-kidney events and all-cause mortality in this population.
Methods *
In this prospective, single-centre cohort study, adults (≥40 years) with T2D and no prior history of heart failure were enrolled and followed for up to 5 years. Baseline demographics, clinical characteristics, biomarker levels, laboratory results, electrocardiogram, and echocardiographic parameters were collected. This interim analysis included events within the first year. Association between NT-proBNP and a composite outcome [death, hospitalisation for heart failure (HHF), myocardial infarction, stroke, coronary revascularisation, and lower limb amputation or revascularisation) was assessed using logistic regression. The predictive value of NT-proBNP versus traditional biomarkers for composite outcome, all-cause mortality, 4-point major adverse cardiovascular events (MACE) (cardiovascular death, HHF, myocardial infarction, stroke), HHF, and kidney failure (eGFR <15 ml/min/1.73m², dialysis or transplantation) was evaluated using Cox regression and time-dependent receiver operating characteristic analyses. All biomarkers were log-transformed before analysis.
Results *
Of 1,200 participants [mean age 61.5 ± 9.3 years; 55.7% male; median diabetes duration 14 years (interquartile range, IQR 7-21)], 72.6% were Chinese, 16.2% Asian Indian, and 8.3% Malay. The median NT-proBNP level was 37.7 pg/ml (IQR 18.8-81.1), and 15.4% of participants had NT-proBNP ≥125 pg/ml. After one year, 42 cardiovascular events (including 6 HHF), 7 kidney failures, and 8 deaths were recorded. After adjusting for covariates, NT-proBNP was significantly associated with the composite outcome (HR 1.94; 95% CI 1.52-2.46). NT-proBNP and troponin-T showed superior discrimination for the composite outcome and 4-point MACE compared to other biomarkers (refer to Figure 1). NT-proBNP showed the highest predictive accuracy for all-cause mortality and HHF, while NT-proBNP, troponin-T, and albuminuria were strong predictors of kidney failure. The optimal NT-proBNP cut-off based on Youden’s index for predicting the composite outcome was 60.4 pg/ml (sensitivity 68.3%, specificity 66.6%).
Conclusions *
NT-proBNP outperformed traditional biomarkers in predicting cardiovascular-kidney events and mortality in multi-ethnic Asian adults with T2D. These results support incorporating NT-proBNP into risk stratification protocols for improved clinical management.
Keyword(s)
Type 2 diabetes, NT-proBNP, cardiovascular disease, heart failure, kidney failure, mortality
Figure 1
https://storage.unitedwebnetwork.com/files/1305/bfcaae0affa13fedc1b601588105159b.png
Figure 1 Caption
Figure 1. C index of biomarkers for predicting cardiovascular-kidney events and mortality
Total Word Count
389
Presenting Author First Name
Yong Mong
Presenting Author Last Name
Bee
Presenting Author Email
bee.yong.mong@singhealth.com.sg
Country (Internal Use)
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