Chen, Y, Wu, S, Liu, H, Zhong, Z, Bucci, T, Wang, Y, Zhao, M, Liu, Y, Yang, Z, Gue, Y, McDowell, G, Huang, B and Lip, GYH (2025) Role of oxidative balance score in staging and mortality risk of cardiovascular-kidney-metabolic syndrome: Insights from traditional and machine learning approaches. Redox biology, 81.

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Abstract

Objectives To evaluate the roles of oxidative balance score (OBS) in staging and mortality risk of cardiovascular-kidney-metabolic syndrome (CKM). Methods Data of this study were from the National Health and Nutrition Examination Survey 1999–2018. We performed cross-sectional analyses using multinomial logistic regression to investigate the relationship between OBS and CKM staging. Cox proportional hazards models were used to assess the impact of OBS on mortality outcomes in CKM patients. Additionally, mediation analyses were performed to explore whether OBS mediated the relationships between specific predictors (Life's Simple 7 score [LS7], systemic immune-inflammation index [SII], frailty score) and mortality outcomes. Then, machine learning models were developed to classify CKM stages 3/4 and predict all-cause mortality, with SHapley Additive exPlanations values used to interpret the contribution of OBS components. Results 21,609 participants were included (20,319 CKM, median [IQR] age: 52.0 [38.0–65.0] years, 54.3% male, median [IQR] follow-up: 9.4 [5.3–14.1] years). Lower OBS quartiles were associated with advanced CKM staging. Moreover, lower OBS quartiles were related to increased mortality risk, compared to Q4 of OBS (all-cause mortality: Q1: HR 1.31, 95% CI 1.18–1.46, Q2: HR 1.27, 95% CI 1.14–1.42, Q3: HR 1.18, 95% CI 1.06–1.32; cardiovascular mortality: Q1: HR 1.44, 95% CI 1.16–1.79, Q2: HR 1.39, 95% CI 1.11–1.74, Q3: HR 1.26, 95% CI 1.01–1.57; non-cardiovascular mortality, Q1: HR 1.27, 95% CI 1.12–1.44, Q2: HR 1.23, 95% CI 1.08–1.40, Q3: HR 1.16, 95% CI 1.02–1.31), with optimal risk stratification threshold for OBS was 22. Additionally, OBS mediated (ranging 4.25%–32.85 %) effects of SII, LS7, frailty scores on mortality outcomes. Moreover, light gradient boosting machine achieved the highest performance for predicting advanced CKM staging (area under curve: 0.905) and all-cause mortality (area under curve: 0.875). Cotinine increased risk, while magnesium, vitamin B6, physical activity were protective. Conclusions This study highlights OBS as a risk stratification tool for CKM, emphasizing oxidative stress's role in CKM staging and mortality risk management.

Item Type:	Article
Uncontrolled Keywords:	Humans; Cardiovascular Diseases; Nutrition Surveys; Proportional Hazards Models; Risk Factors; Cross-Sectional Studies; Oxidative Stress; Adult; Aged; Middle Aged; Female; Male; Cardio-Renal Syndrome; Machine Learning; Metabolic Syndrome; Cardiovascular-kidney-metabolic syndrome; Mortality; Oxidative balance score; Oxidative stress; Risk stratification; Humans; Machine Learning; Male; Female; Metabolic Syndrome; Middle Aged; Adult; Cross-Sectional Studies; Aged; Oxidative Stress; Nutrition Surveys; Risk Factors; Cardio-Renal Syndrome; Cardiovascular Diseases; Proportional Hazards Models; 3101 Biochemistry and Cell Biology; 3404 Medicinal and Biomolecular Chemistry; 34 Chemical Sciences; 31 Biological Sciences; Prevention; Nutrition; Cardiovascular; Machine Learning and Artificial Intelligence; Humans; Machine Learning; Male; Female; Metabolic Syndrome; Middle Aged; Adult; Cross-Sectional Studies; Aged; Oxidative Stress; Nutrition Surveys; Risk Factors; Cardio-Renal Syndrome; Cardiovascular Diseases; Proportional Hazards Models; 0601 Biochemistry and Cell Biology; 1101 Medical Biochemistry and Metabolomics; 1115 Pharmacology and Pharmaceutical Sciences; 3101 Biochemistry and cell biology; 3404 Medicinal and biomolecular chemistry
Subjects:	Q Science > QH Natural history > QH301 Biology
Divisions:	Pharmacy and Biomolecular Sciences
Publisher:	Elsevier
SWORD Depositor:	A Symplectic
Date Deposited:	02 Apr 2025 15:00
Last Modified:	02 Apr 2025 15:00
DOI or ID number:	10.1016/j.redox.2025.103588
URI:	https://researchonline.ljmu.ac.uk/id/eprint/26078

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