文章摘要
白朝,张德生,张瑞,尹春,王若楠,黄文雅,丁婕,杨景丽,黄佩瑶,柳念,王玉峰,程宁,白亚娜.传统及联合脂质代谢指标与糖尿病发病关系的巢式病例对照研究[J].中华流行病学杂志,2021,42(4):656-661
传统及联合脂质代谢指标与糖尿病发病关系的巢式病例对照研究
A nested case-control study on relationship of traditional and combined lipid metabolism indexes with incidence of diabetes
收稿日期:2020-04-01  出版日期:2021-04-22
DOI:10.3760/cma.j.cn112338-20200401-00490
中文关键词: 糖尿病  脂质代谢  巢式病例对照研究
英文关键词: Diabetes  Lipid metabolism  Nested case-control study
基金项目:兰州大学“一带一路”专项(2018ldbrzd008);美国国立卫生研究院(1R01ES029082)
作者单位E-mail
白朝 兰州大学公共卫生学院流行病与卫生统计学研究所 730000  
张德生 金川集团职工医院, 金昌 737100  
张瑞 兰州大学公共卫生学院流行病与卫生统计学研究所 730000  
尹春 金川集团职工医院, 金昌 737100  
王若楠 兰州大学公共卫生学院流行病与卫生统计学研究所 730000  
黄文雅 兰州大学公共卫生学院流行病与卫生统计学研究所 730000  
丁婕 兰州大学公共卫生学院流行病与卫生统计学研究所 730000  
杨景丽 兰州大学公共卫生学院流行病与卫生统计学研究所 730000  
黄佩瑶 兰州大学公共卫生学院流行病与卫生统计学研究所 730000  
柳念 兰州大学公共卫生学院流行病与卫生统计学研究所 730000  
王玉峰 金川集团职工医院, 金昌 737100  
程宁 兰州大学基础医学院 730000  
白亚娜 兰州大学公共卫生学院流行病与卫生统计学研究所 730000 baiyana@lzu.edu.cn 
摘要点击次数: 4453
全文下载次数: 1614
中文摘要:
      目的 探讨脂质参数与糖尿病发病的关系,并将传统脂质参数与联合脂质参数进行比较,以期探讨、识别和预测糖尿病患者的最佳替代指标。方法 以金昌队列为基础,采用巢式病例对照研究方法,排除恶性肿瘤和相关内分泌、循环系统疾病后抽取随访期内新发糖尿病者1 025例作为病例组,然后按照年龄±2岁、性别进行1:1匹配获得对照组1 025例,进而研究脂质参数与糖尿病的关系。结果 传统脂质参数中,TG、TC和LDL-C水平的第四分位数组的糖尿病发病风险较高,分别是第一分位数组的14.00倍(95%CI:9.73~20.15)、2.15倍(95%CI:1.65~2.79)和1.66倍(95%CI:1.29~2.14),HDL-C水平的第四分位数组的糖尿病发病风险是第一分位数组的0.21倍(95%CI:0.15~0.28)。联合脂质参数中,TG/HDL-C、TC/HDL-C、LDL-C/HDL-C和非HDL-C水平的第四分位数组的糖尿病发病风险较高,分别是第一分位数组的14.86倍(95%CI:10.35~21.34)、8.12倍(95%CI:5.94~11.01)、5.85倍(95%CI:4.34~7.88)和5.20倍(95%CI:3.85~7.03)。TG、TC、HDL-C、LDL-C、TG/HDL-C、TC/HDL-C、LDL-C/HDL-C、非HDL-C的受试者工作特征曲线下面积分别为0.76(95%CI:0.74~0.78)、0.59(95%CI:0.57~0.61)、0.67(95%CI:0.65~0.69)、0.57(95%CI:0.55~0.59)、0.77(95%CI:0.75~0.78)、0.73(95%CI:0.71~0.75)、0.69(95%CI:0.67~0.71)、0.66(95%CI:0.64~0.68);预测糖尿病的最佳切点分别为1.40、4.70、1.28、3.25、1.17、3.43、2.46、3.58 mmol/L。结论 脂质代谢紊乱是糖尿病的危险因素。TG和TG/HDL-C是较好的糖尿病预测指标。
英文摘要:
      Objective To explore the relationship between lipid indicators and the incidence of diabetes, and to compare the diabetes prediction and identification power of traditional lipid combined lipid indicators, in order to explore the best alternative indicators for identifying and predicting diabetes. Methods Based on the Jinchang cohort, a nested case-control study was conducted in 1 025 new cases of diabetes after excluding patients with malignant tumor and related endocrine, circulatory system disease, then an age (±2 years), gender matched 1:1 control group of 1 025 cases was set to analyze the relationship between the incidence of diabetes and lipid parameters. Results Among the traditional lipid parameters, the fourth quartile of TG, TC, and LDL-C indicated higher risks of developing diabetes, which was 14.00 times (95%CI:9.73-20.15), 2.15 times (95%CI:1.65-2.79) and 1.66 times (95%CI:1.29-2.14) than that of the first quartile, respectively. The risk of developing diabetes indicated by the fourth quartile of HDL-C was 0.21 times than that indicated by the first quartile (95%CI:0.15-0.28). In the combined lipid parameters, the fourth quartile of TG/HDL-C, TC/HDL-C, LDL-C/HDL-C and non-HDL-C indicated higher risks of developing diabetes, which was 14.86 times (95%CI:10.35-21.34), 8.12 times (95%CI:5.94-11.01), 5.85 times (95%CI:4.34-7.88) and 5.20 times (95%CI:3.85-7.03) than that indicated by the first quartile, respectively. The areas under the ROC curve of TG, TC, HDL-C, LDL-C, TG/HDL-C, TC/HDL-C, LDL-C/HDL-C and non-HDL-C were 0.76 (95%CI:0.74-0.78), 0.59 (95%CI:0.57-0.61), 0.67 (95%CI:0.65-0.69), 0.57 (95%CI:0.55-0.59), 0.77 (95%CI:0.75-0.78), 0.73 (95%CI:0.71-0.75), 0.69 (95%CI:0.67-0.71) and 0.66 (95%CI:0.64-0.68), respectively. The optimal diabetes predicting point cuts of TG, TC, HDL-C, LDL-C, TG/HDL-C, TC/HDL-C, LDL-C/HDL-C and non-HDL-C were 1.40, 4.70, 1.28, 3.25, 1.17, 3.43, 2.46, and 3.58 mmol/L, respectively. Conclusions Lipid metabolic disorder is a risk factor for diabetes. TG and TG/HDL-C are the good lipid metabolism indicators for the prediction of diabetic.
查看全文   Html全文     查看/发表评论  下载PDF阅读器
关闭