心脏代谢指数与高尿酸血症发病风险的关联性研究
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(佳木斯大学公共卫生学院,黑龙江省佳木斯市 154007)

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瞿菽含,硕士研究生,研究方向为高尿酸血症病因学研究,E-mail:shuhanqushq@163.com。通信作者邱洪斌,教授,博士研究生导师,研究方向为痛风和高尿酸血症病因及发病机制研究,E-mail:qiuhongbin@jmsu.edu.cn。

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基金项目:

黑龙江省自然科学基金重点项目(ZD2022H006);黑龙江省博士后科学基金项目(LBH-Q21047);佳木斯大学国家基金培育项目(JMSUGPZR2022-022);痛风病因学与功能食品研究创新团队、黑龙江省北药与功能食品优势特色学科建设项目(HLJTSXK-2022-03);佳木斯大学科技创新团队项目(cxtd202101)


Association between cardiometabolic index and risk of hyperuricemia
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Department of Public Health, Jiamusi University, Jiamusi, Heilongjiang 154007, China)

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    目的]探索中国健康与养老追踪调查项目中45岁以上人群心脏代谢指数与高尿酸血症发病风险的关联性。 [方法]纳入2011年—2015年中国健康与养老追踪调查数据,采用前瞻性队列研究设计,以2011年数据为基线,于2015年随访高尿酸血症结局。采用Cox比例风险回归模型分析45岁以上人群心脏代谢指数与高尿酸血症发病风险的关联性,采用ROC曲线分析心脏代谢指数对高尿酸血症发病风险的预测价值。 [结果]3 002名研究对象中,调整相关混杂因素后,男性中最高心脏代谢指数组高尿酸血症发病风险是最低心脏代谢指数组的3.12倍(P<0.001),HR值为3.120,95%CI为1.606~6.062;女性中最高心脏代谢指数组高尿酸血症发病风险是最低心脏代谢指数组的为2.128倍(P<0.05),HR值为2.128,95%CI为1.060~4.272;且高尿酸血症发病风险随心脏代谢指数的增加而增加。ROC曲线分析显示,心脏代谢指数预测高尿酸血症发病风险的曲线下面积为0.618(95%CI:0.580~0.656),最佳截断值为0.433,灵敏度为46.97%,特异度为72.94%。 [结论]心脏代谢指数与高尿酸血症发病风险呈正相关。维持低心脏代谢指数状态对预防高尿酸血症有益。提示心脏代谢指数可作为高尿酸血症的鉴别因子。

    Abstract:

    Aim To explore the association between cardiometabolic index and hyperuricemia risk in people over 45 years of age in China Health and Retirement Longitudinal Study. Methods Data from the China Health and Retirement Longitudinal Study in 2011 and 2015 were included in this prospective cohort study. The 2011 data were used as the baseline and the outcomes of hyperuricemia were followed up in 2015. The Cox proportional hazard model was used to analyze the association between cardiometabolic index and the risk of hyperuricemia. ROC curve was used to analyze the predictive value of cardiometabolic index for the risk of hyperuricemia. Results Among 3 002 subjects, after adjusting for relevant confounders, the risk of hyperuricemia in the highest cardiometabolic index group was 3.12 times (P<0.001) that in the lowest cardiometabolic index group in males, and HR was 3.0,5%CI was 1.606~6.062; in females was 2.128 times (P<0.05) that in the lowest cardiometabolic index group, respectively, and HR was 2.8,5%CI was 1.060~4.272; the risk of hyperuricemia increased with the increase of cardiometabolic index. ROC curve analysis showed that the curve of cardiometabolic index for predicting the risk of hyperuricemia was 0.618 (95%CI:0.580~0.656), the best cutoff value was 0.433, the sensitivity was 46.97%, and the specificity was 72.94%. Conclusions The cardiometabolic index is positively correlated with the risk of hyperuricemia. Maintaining a low cardiometabolic index is beneficial to prevent hyperuricemia. It is suggested that cardiometabolic index may be an identification factor of hyperuricemia.

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瞿菽含,张艺潆,邱洪斌.心脏代谢指数与高尿酸血症发病风险的关联性研究[J].中国动脉硬化杂志,2023,31(6):505~509.

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  • 收稿日期:2022-12-13
  • 最后修改日期:2023-02-07
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  • 在线发布日期: 2023-06-12