Role of oxidative balance score in staging and mortality risk of cardiovascular-kidney-metabolic syndrome: Insights from traditional and machine learning approaches

IF 11.9 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Redox Biology Pub Date : 2025-04-01 Epub Date: 2025-03-07 DOI:10.1016/j.redox.2025.103588
Yang Chen , Shuang Wu , Hongyu Liu , Ziyi Zhong , Tommaso Bucci , Yimeng Wang , Manlin Zhao , Yang Liu , Zhengkun Yang , Ying Gue , Garry McDowell , Bi Huang , Gregory Y.H. Lip
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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.

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氧化平衡评分在心血管-肾-代谢综合征的分期和死亡风险中的作用:来自传统和机器学习方法的见解
目的探讨氧化平衡评分(OBS)在心血管-肾-代谢综合征(CKM)分期和死亡风险中的作用。方法本研究数据来源于1999-2018年全国健康与营养检查调查。我们使用多项逻辑回归进行了横断面分析,以调查OBS和CKM分期之间的关系。采用Cox比例风险模型评估OBS对CKM患者死亡结局的影响。此外,还进行了中介分析,探讨OBS是否介导了特定预测因子(Life’s Simple 7评分[LS7]、全身免疫炎症指数[SII]、虚弱评分)与死亡率结局之间的关系。然后,开发了机器学习模型来对CKM的3/4期进行分类,并预测全因死亡率,使用SHapley加性解释值来解释OBS成分的贡献。结果共纳入21,609例受试者(CKM 20,319例,中位[IQR]年龄:52.0[38.0-65.0]岁,男性54.3%,中位[IQR]随访时间:9.4[5.3-14.1]年)。较低的OBS四分位数与晚期CKM分期相关。此外,与OBS的Q4相比,较低的OBS四分位数与死亡风险增加有关(全因死亡率: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;心血管死亡率: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;非心血管疾病死亡率,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), OBS的最佳风险分层阈值为22。此外,OBS介导的SII、LS7、虚弱评分对死亡结局的影响(范围为4.25% - 32.85%)。此外,光梯度增强机在预测CKM晚期分期(曲线下面积:0.905)和全因死亡率(曲线下面积:0.875)方面表现最佳。可替宁增加了风险,而镁、维生素B6和体育活动则有保护作用。本研究强调了OBS作为CKM的风险分层工具,强调氧化应激在CKM分期和死亡风险管理中的作用。
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来源期刊
Redox Biology
Redox Biology BIOCHEMISTRY & MOLECULAR BIOLOGY-
CiteScore
19.90
自引率
3.50%
发文量
318
审稿时长
25 days
期刊介绍: Redox Biology is the official journal of the Society for Redox Biology and Medicine and the Society for Free Radical Research-Europe. It is also affiliated with the International Society for Free Radical Research (SFRRI). This journal serves as a platform for publishing pioneering research, innovative methods, and comprehensive review articles in the field of redox biology, encompassing both health and disease. Redox Biology welcomes various forms of contributions, including research articles (short or full communications), methods, mini-reviews, and commentaries. Through its diverse range of published content, Redox Biology aims to foster advancements and insights in the understanding of redox biology and its implications.
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