[1]汪丽,鱼馨文,陈艳艳,等.非高密度脂蛋白-胆固醇与主要心电图异常的相关性分析[J].国际内分泌代谢杂志,2023,43(03):237-241.[doi:10.3760/cma.j.cn121383-20230106-01012]
　Wang Li,Yu Xinwen,Chen Yanyan,et al.Association of non-high-density lipoprotein cholesterol with major abnormal electrocardiogram[J].International Journal of Endocrinology and Metabolism,2023,43(03):237-241.[doi:10.3760/cma.j.cn121383-20230106-01012]
点击复制

非高密度脂蛋白-胆固醇与主要心电图异常的相关性分析()
分享到：

《国际内分泌代谢杂志》[ISSN:1673-4157/CN:12-1383/R]

卷:
43
期数:
2023年03期
页码:
237-241
栏目:
论著
出版日期:
2023-05-20

文章信息/Info

Title:
Association of non-high-density lipoprotein cholesterol with major abnormal electrocardiogram
作者:
汪丽1; 鱼馨文2; 陈艳艳1; 徐谦1; 姬秋和1
1空军军医大学第一附属医院内分泌科,西安 710032; 2空军军医大学第二附属医院内分泌科,西安 710038
Author(s):
Wang Li1;  Yu Xinwen2;  Chen Yanyan1;  Xu Qian1;  Ji Qiuhe1.
1Department of Endocrinology, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China; 2Department of Endocrinology, the Second Affiliated Hospital of Air Force Medical University, Xi'an 710038, China
关键词:
非高密度脂蛋白-胆固醇;  主要心电图异常;  明尼苏达编码;  心血管疾病
Keywords:
Non-high-density lipoprotein cholesterol;  Major abnormal electrocardiogram;  Minnesota code;  Cardiovascular disease
DOI:
10.3760/cma.j.cn121383-20230106-01012
摘要:
目的 探讨中国成年人群不同非高密度脂蛋白-胆固醇(non-HDL-C)水平与明尼苏达代码指示的主要心电图异常(MA-ECG)之间的关系。方法 从2007—2008年中国糖尿病和代谢紊乱研究中,筛选出资料齐全的34 000人,采用χ2检验、单因素方差分析比较不同组别各项指标及MA-ECG占比的差异。采用Logistic回归分析non-HDL-C与MA-ECG及其各编码的相关性,并评估各危险因素与non-HDL-C对MA-ECG发生风险有无交互作用。结果 随着non-HDL-C水平的上升,MA-ECG占比也显著升高。校正混杂因素后,non-HDL-C与MA-ECG的发生独立相关; 1-和4-、5-代码发生风险与non-HDL-C显著正相关,6-和8-代码发生风险则与non-HDL-C呈负相关; 年龄、体重指数、高血压均对non-HDL-C与MA-ECG间的相关性存在交互作用。结论 Non-HDL-C水平升高是MA-ECG的独立危险因素,提示应早期关注non-HDL-C水平升高的人群,及时做心电图筛查,尽早发现CVD高危风险个体并予以干预。
Abstract:
Objective We aimed to analyze the association between non-high-density lipoprotein cholesterol(non-HDL-C)level and Minnesota code-indicated major electrocardiogram abnormality(MA-ECG)among Chinese adult population.Methods From the Chinese Diabetes and Metabolic Disorders study from 2007 to 2008, 34,000 people with complete data were screened, and one-way ANOVA and χ2 test were performed to make comparisons of the differences of each index and the percentage of MA-ECG among different groups. Logistic regression was used to analyse the correlation of non-HDL-C with MA-ECG and each MA-ECG Minnesota code. And the interaction of each risk factor with non-HDL-C on the risk of MA-ECG was also assessed.Results As non-HDL-C levels increased, the percentage of MA-ECG also increased significantly. Logistic regression analysis showed that non-HDL-C was independently associated with MA-ECG after correcting for confounding factors; the risk of 1- and 4- and 5-code occurrence was significantly positively correlated with non-HDL-C, while the risk of 6- and 8-code occurrence was negatively correlated with non-HDL-C; age, body mass index, and hypertension were all interacted with the correlation between non-HDL-C and MA-ECG.Conclusion Elevated non-HDL-C levels are an independent risk factor for MA-ECG, suggesting early attention to those with elevated non-HDL-C levels and timely ECG screening to identify and intervene early in individuals at high risk of CVD.

参考文献/References:

[1] NCD Risk Factor Collaboration(NCD-RisC).Repositioning of the global epicentre of nonoptimal cholesterol[J].Nature,2020,582(7810):73-77.DOI:10.1038/s41586-020-2338-1.
[2] Hu H,Fukunaga A,Yokoya T,et al.Non-high-density lipoprotein cholesterol and risk of cardiovascular disease:the Japan epidemiology collaboration on occupational health study[J].J Atheroscler Thromb,2022,29(9):1295-1306.DOI:10.5551/jat.63118.
[3] 李雪梅,刘长福,贺晓丹.非高密度脂蛋白胆固醇与冠状动脉病变Gensini积分的相关性[J].中西医结合心脑血管病杂志,2022,20(17): 3218-3223.DOI:10.12102/j.issn.1672-1349.2022.17.030.
[4] Blackburn H,Keys A,Simonson E,et al.The electrocardiogram in population studies.A classification system[J].Circulation,1960,21:1160-1175.DOI:10.1161/01.cir.21.6.1160.
[5] Horibe H,Kasagi F,Kagaya M,et al.A nineteen-year cohort study on the relationship of electrocardiographic findings to all cause mortality among subjects in the national survey on circulatory disorders,NIPPON DATA80[J].J Epidemiol,2005,15(4):125-134.DOI:10.2188/jea.15.125.
[6] Yang W,Lu J,Weng J,et al. Prevalence of diabetes among men and women in China[J].N Engl J Med,2010,362(12):1090-1101.DOI:10.1056/NEJMoa0908292.
[7] Relationship of blood pressure,serum cholesterol,smoking habit,relative weight and ECG abnormalities to incidence of major coronary events:final report of the pooling project.The pooling project research group[J].J Chronic Dis,1978,31(4):201-306.DOI:10.1016/0021-9681(78)90073-5.
[8] Nordestgaard BG,Langsted A,Mora S,et al.Fasting is not routinely required for determination of a lipid profile:clinical and laboratory implications including flagging at desirable concentration cutpoints-A joint consensus statement from the European Atherosclerosis Society and European Federation of Clinical Chemistry and Laboratory Medicine[J].Clin Chem,2016,62(7):930-946.DOI:10.1373/clinchem.2016.258897.
[9] Nijpels G,van der Heijden AAWA,Elders P,et al.The interobserver agreement of ECG abnormalities using Minnesota codes in people with type 2 diabetes [J].PLoS One,2021,16(8):e0255466.DOI:10.1371/journal.pone.0255466.
[10] 中国肥胖问题工作组.中国成人超重和肥胖症预防与控制指南(节录)[J].营养学报,2004,4(12):1-4.DOI:10.13325/j.cnki.acta.nutr.sin.2004.01.001.
[11] Sniderman AD,Thanassoulis G,Glavinovic T,et al.Apolipoprotein B particles and cardiovascular disease:a narrative review[J].JAMA Cardiol,2019,4(12):1287-1295.DOI:10.1001/jamacardio.2019.3780.
[12] Li X,Gao L,Wang Z,et al.Lipid profile and incidence of atrial fibrillation: a prospective cohort study in China[J].Clin Cardiol,2018,41(3):314-320.DOI:10.1002/clc.22864.
[13] Guan B,Li X,Xue W,et al.Blood lipid profiles and risk of atrial fibrillation:a systematic review and meta-analysis of cohort studies[J].J Clin Lipidol,2020,14(1):133-142.e3.DOI:10.1016/j.jacl.2019.12.002.

备注/Memo

备注/Memo:
通信作者:姬秋和,Email:jqiuhe@fmmu.edu.cn
基金项目:陕西省重点研发计划(2017ZDCXL-SF-02-01)
更新日期/Last Update: 2023-05-20