[1]唐超 汪汉 邬振宇 罗猛 张震.累积C反应蛋白/高密度脂蛋白胆固醇比率与关节炎患者全因死亡的关联：来自CHARLS的纵向队列研究[J].心血管病学进展,2025,(1):86.[doi:10.16806/j.cnki.issn.1004-3934.2025.01.018]
　TANG Chao,WANG Han,WU Zhenyu,et al.Association Between Cumulative C-reactive Protein/high-density Lipoprotein Cholesterol Ratio and all-cause Mortality in Patients with Arthritis:a Longitudinal Cohort Study from CHARLS[J].Advances in Cardiovascular Diseases,2025,(1):86.[doi:10.16806/j.cnki.issn.1004-3934.2025.01.018]
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累积C反应蛋白/高密度脂蛋白胆固醇比率与关节炎患者全因死亡的关联：来自CHARLS的纵向队列研究()
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《心血管病学进展》[ISSN:51-1187/R/CN:1004-3934]

卷:
期数:
2025年1期
页码:
86
栏目:
论著
出版日期:
2025-01-25

文章信息/Info

Title:
Association Between Cumulative C-reactive Protein/high-density Lipoprotein Cholesterol Ratio and all-cause Mortality in Patients with Arthritis:a Longitudinal Cohort Study from CHARLS
作者:
唐超 汪汉 邬振宇 罗猛 张震
(西南交通大学附属医院 成都市第三人民医院心血管内科,四川 成都 610031)
Author(s):
TANG Chao; WANG Han; WU Zhenyu; LUO Meng; ZHANG Zhen
(Affiliated Hospital of Southwest Jiaotong University,Department of cardiology,Third People’s Hospital of Chengdu,Chengdu 610031, Sichuan, China)
关键词:
C反应蛋白; 高密度脂蛋白胆固醇; 关节炎; 中老年
Keywords:
C-reactive protein;  High density lipoprotein cholesterol;  Arthritis;  Middle aged and elderly people
DOI:
10.16806/j.cnki.issn.1004-3934.2025.01.018
摘要:
目的 探讨 中国中老年人群中累积C反应蛋白/高密度脂蛋白胆固醇比率（cumCHR）与关节炎患者全因死亡风险的关联。方法 数据来源于中国健康与养老追踪调查数据库。通过Boruta分析筛选出重要变量后，采用多因素非条件logistics回归模型评估cumCHR与关节炎患者全因死亡风险之间的关联。采用限制性立方样条回归模型分析cumCHR与关节炎患者全因死亡风险的剂量-反应关系。再应用中介分析评估体重指数在二者之间的中介效应。结果 共1 855例研究对象纳入分析。通过Boruta分析筛选出8个重要变量（年龄、cumCHR、基线C-反应蛋白、血红蛋白、收缩压、舒张压、性别、高密度脂蛋白胆固醇）。多因素logistics回归模型结果显示，无论在模型2（OR=2.29，95% CI 1.18～4.45）还是模型3（ OR=2.35，95% CI 1.20～4.59）中，cumCHR均与关节炎患者全因死亡风险升高有关。限制性立方样条回归模型结果显示，cumCHR与全因死亡呈“L”曲线关系；当cumCHR＜254时，与全因死亡密切相关。中介分析显示体重指数可能充当cumCHR与全因死亡之间的中介因子。结论 cumCHR与关节炎 患者的全因死亡风险密切相关，呈非线性关系，提示动态监测cumCHR对于识别高死亡风险的关节炎患者极其重要。
Abstract:
Objective To explore the association between cumulative C-reactive protein/high-density lipoprotein cholesterol ratio (cumCHR) and all-cause mortality risk in arthritis patients among middle aged and elderly Chinese population. Methods Data were sourced from the China Health and Retirement Longitudinal Study database. After screening for important variables using Boruta analysis, a multivariable unconditional logistic regression model was employed to evaluate the association between cumCHR and all-cause mortality risk in arthritis patients. A restricted cubic spline regression model was used to analyze the dose-response relationship between cumCHR and all-cause mortality risk in arthritis patients. Additionally, mediation analysis was conducted to assess the mediating effect of body mass index between the two. Results A total of 1,855 subjects were included in the analysis. Eight important variables (age, cumCHR, baseline C-reactive protein, hemoglobin, systolic blood pressure, diastolic blood pressure, gender, and high-density lipoprotein cholesterol) were identified through Boruta analysis. The multivariable unconditional logistic regression model showed that cumCHR was associated with increased all-cause mortality risk in arthritis patients, both in Model 2 (OR=2.29, 95% CI 1.18～4.45) and Model 3 (OR=2.35, 95% CI 1.20～4.59). The restricted cubic spline regression model revealed an "L"-shaped curve relationship between cumCHR and all-cause mortality, with a strong association observed when cumCHR was less than 254. Mediation analysis suggested that body mass index may serve as a mediator between cumCHR and all-cause mortality. Conclusion The cumCHR is closely related to the risk of all-cause mortality in arthritis, showing a nonlinear relationship, suggesting that dynamic monitoring of cumCHR is extremely important for identifying patients with arthritis at high risk of death.

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更新日期/Last Update: 2025-02-26