Chinese General Practice ›› 2022, Vol. 25 ›› Issue (26): 3232-3239.DOI: 10.12114/j.issn.1007-9572.2022.0337

Special Issue: 老年问题最新文章合集 肥胖最新文章合集

• Original Research • Previous Articles     Next Articles

Influencing Factors of TyG and Its Combination with Obesity Indicators for New-onset Ischemic Stroke in Middle-aged and Elderly Population: a 10-year Follow-up Prospective Cohort Study

  

  1. 1. Department of Endocrinology, the Affiliated Hospital of Southwest Medical University, Luzhou 646000, China
    2. Department of Cardiology, Luzhou People's Hospital, Luzhou 646000, China
  • Received:2022-04-02 Revised:2022-05-30 Published:2022-09-15 Online:2022-07-06
  • Contact: Qin WAN
  • About author:
    MIAO Y, WANG Y, YAN P J, et al. Influencing factors of TyG and its combination with obesity indicators for new-onset ischemic stroke in middle-aged and elderly population: a 10-year follow-up prospective cohort study[J]. Chinese General Practice, 2022, 25 (26) : 3232-3239.

甘油三酯葡萄糖指数及其结合肥胖指标与中老年人群新发缺血性脑卒中的关系:一项追踪10年的前瞻性队列研究

  

  1. 1.646000 四川省泸州市,西南医科大学附属医院内分泌科
    2.646000 四川省泸州市人民医院心内科
  • 通讯作者: 万沁
  • 作者简介:
    作者贡献:缪莹提出研究理念,负责数据收集、数据整理、论文撰写;汪宇负责数据整理、提供统计学设计思路、协助编辑与修改;晏丕军进行统计计算和可行性分析、数据整理;白雪、陈攀负责数据收集;万沁进行项目管理、思路指导、提供资源,对文章监督管理和审查。 缪莹,汪宇,晏丕军,等.甘油三酯葡萄糖指数及其结合肥胖指标与中老年人群新发缺血性脑卒中的关系:一项追踪10年的前瞻性队列研究[J].中国全科医学,2022,25(26):3232-3239.[www.chinagp.net]
  • 基金资助:
    国家重点研发计划资助项目(20160901200)——代谢性疾病专项队列研究

Abstract:

Background

In recent decades, ischemic stroke is increasingly prevalent, which has become the second leading cause of death and disability in the world. Insulin resistance and obesity are closely related to the development of ischemic stroke. At present, a number of studies have confirmed that obesity is associated with a variety of metabolic diseases and the role of insulin resistance played in the pathogenesis. But it is still unclear whether TyG, an indicator of insulin resistance, and TyG combined with obesity indicators can be used to predict ischemic stroke.

Objective

To assess the influencing factors of TyG, and its combination with different obesity indicators for new-onset ischemic stroke in a cohort of middle-aged and elderly people during a 10-year follow-up .

Methods

A prospective cohort design was used. The cohort included 9 406 middle-aged and elderly individuals who attended the 2011 Epidemiological Survey on Cancer Risk in Type 2 Diabetics conducted in six communities in Luzhou (including Qiancao, Xiaoshi, Longmatan, Baolaiqiao, Dashanping and Yutang) . Baseline data were collected, including TyG and its combination with different obesity indicators〔TyG-waist circumference (WC) , TyG-waist-to-height-ratio (WHtR) , TyG-body mass index (BMI) , and TyG-waist-to-hip-ratio (WHR) 〕. A 5-year follow-up initiated since June to November 2016, and a 10-year follow-up initiated since April to June 2021 were conducted, with new-onset ischemic stroke incidence (obtained through Luzhou Health Commission and Luzhou Center for Disease Control & Prevention) as an endpoint. For assessing the predictive value of baseline TyG, TyG-WC, TyG-WHtR, TyG-BMI, and TyG-WHR for new-onset ischemic stroke, patients were divided into quartiles of TyG〔Q1 (n=2 351) , Q2 (n=2 351) , Q3 (n=2 352) , Q4 (n=2 352) 〕, quartiles of TyG-WC〔Q1 (n=2 351) , Q2 (n=2 352) , Q3 (n=2 352) , Q4 (n=2 351) 〕, quartiles of TyG-WHtR〔Q1 (n=2 349) , Q2 (n=2 349) , Q3 (n=2 348) , Q4 (n=2 348) 〕, and quartiles of TyG-BMI〔Q1 (n=2 351) , Q2 (n=2 352) , Q3 (n=2 352) , Q4 (n=2 351) 〕, quartiles of TyG-WHR〔Q1 (n=2 343) , Q2 (n=2 343) , Q3 (n=2 342) , Q4 (n=2 342) 〕, respectively. Multivariate Logistic regression analysis was used to explore the relationship between TyG, TYG-WC, TYG-WTHR, TYG-BMI, TYG-WHR and new ischemic stroke in the elderly.

Results

During the follow-up period, 527 (5.6%) of the 9 406 middle-aged and elderly people had new-onset ischemic stroke. After adjusting for multiple confounding variables, multivariate Logistic regression analysis showed that the risk of new ischemic stroke in the fourth quartile group of TyG was 1.569 times higher than that in the first quartile group of TyG〔OR=1.569, 95%CI (1.007, 2.437) , P=0.046〕. The risk of new ischemic stroke increased by a factor of 1.467, 2.012, and 2.132 in the second, third and fourth quartile groups of TyG-WC〔 OR=1.467, 95%CI (1.010, 2.131) , P=0.044; OR=2.012, 95%CI (1.270, 3.187) , P=0.003; OR=2.132, 95%CI (1.119, 4.063) , P=0.021〕compared with that in the first quartile group of TyG-WC. The risk of new ischemic stroke increased by a factor of 1.481, 1.548, and 1.705 in the second, third and fourth quartile groups of TyG-BMI 〔OR=1.481, 95%CI (1.071, 2.048) , P=0.018; OR=1.548, 95%CI (1.066, 2.247) , P=0.022; OR=1.705, 95%CI (1.054, 2.759) , P=0.030〕compared with that in the first quartile group of TyG-BMI.

Conclusion

The risk of new-onset ischemic stroke in middle-aged and elderly type 2 diabetics in Luzhou increased with the elevation of TyG-WC and TyG-BMI, so TyG-WC and TyG-BMI may be predictors of new-onset ischemic stroke in this population.

Key words: Stroke, Triglyceride-glucose index, Insulin resistance, Obesity, Middle aged, Aged, Cohort studies, Prospective studies, Root cause analysis

摘要: 背景 近几十年来,缺血性脑卒中的患病率逐年上升,已成为全球致死、致残的第2大原因;胰岛素抵抗及肥胖与缺血性脑卒中的发生、发展关系密切,目前多项研究已经证实了肥胖与多种代谢性疾病的相关性以及胰岛素抵抗在其中的作用,而反映胰岛素抵抗的指标——甘油三酯葡萄糖指数(TyG)及其与肥胖指标结合后是否能用于预测缺血性脑卒中的发生,目前尚不清楚。目的 通过队列研究分析TyG及其结合肥胖指标与中老年人群10年新发缺血性脑卒中的关系。方法 本研究为前瞻性队列研究。选取2011年参与2型糖尿病患者肿瘤发生风险的流行病学调查研究的泸州地区(茜草社区、小市社区、龙马潭社区、宝来桥社区、大山坪社区、鱼塘社区)9 406例中老年人为研究队列。收集其基线资料,其中包括TyG及其肥胖结合指标〔TyG-腰围(WC)、TyG-腰围身高比(WtHR)、TyG-体质指数(BMI)、TyG-腰臀比(WHR)〕,并于2016年6—11月进行5年随访,2021年4—6月进行10年随访;截至随访结束,通过泸州市卫生健康委员会、泸州市疾病控制中心的信息判断该研究队列新发缺血性脑卒中发生情况。依据基线TyG四分位数将中老年人分为第1~4四分位组,各组例数依次为2 351、2 351、2 352、2 352例;依据基线TyG-WC四分位数将中老年人分为第1~4四分位组,各组例数依次为2 351、2 352、2 352、2 351例。依据基线TyG-WtHR四分位数将中老年人分为第1~4四分位组,各组例数依次为2 349、2 349、2 348、2 348例。依据基线TyG-BMI四分位数将中老年人分为第1~4四分位组,各组例数依次为2 351、2 352、2 352、2 351例。依据基线TyG-WHR四分位数将中老年人分为第1~4四分位组,各组例数依次为2 343、2 343、2 342、2 342例。采用多因素Logistic回归分析探究TyG及TyG-WC、TyG-WtHR、TyG-BMI、TyG-WHR与老年人新发缺血性脑卒中的关系。结果 随访10年,9 406例中老年人中新发缺血性脑卒中527例,新发缺血性脑卒中发生率为5.6%。在调整了多项变量后,多因素Logistic回归分析结果显示,TyG第4四分位组相较于第1四分位组是中老年人新发缺血性脑卒中的危险因素〔OR=1.569,95%CI(1.007,2.437),P=0.046〕;TyG-WC第2、3、4四分位组相较于第1四分位组是中老年人新发缺血性脑卒中的危险因素〔TyG-WC第2四分位组:OR=1.467,95%CI(1.010,2.131),P=0.044;TyG-WC第3四分位组:OR=2.012,95%CI(1.270,3.187),P=0.003;TyG-WC第4四分位组:OR=2.132,95%CI(1.119,4.063),P=0.021〕;TyG-BMI第2、3、4四分位组相较于第1四分位组是中老年人新发缺血性脑卒中的危险因素〔TyG-BMI第2四分位组:OR=1.481,95%CI(1.071,2.048),P=0.018;TyG-BMI第3四分位组:OR=1.548,95%CI(1.066,2.247),P=0.022;TyG-BMI第4四分位组:OR=1.705,95%CI(1.054,2.759),P=0.030〕。结论 10年随访结果示,随着TyG-WC、TyG-BMI升高,泸州地区中老年人新发缺血性脑卒中发生风险增高。TyG-WC、TyG-BMI或可成为预测中老年人新发缺血性脑卒中的预测因子。

关键词: 缺血性脑卒中, 甘油三酯葡萄糖指数, 胰岛素抵抗, 肥胖, 中年人, 老年人, 队列研究, 前瞻性研究, 影响因素分析