Associations of insulin resistance and beta-cell function with abnormal lipid profile in newly diagnosed diabetes

被引:15
作者
Tang, Xiaohan [1 ]
Yan, Xiang [1 ]
Zhou, Houde [2 ]
Huang, Gan [1 ]
Niu, Xiaohong [3 ]
Jiang, Hongwei [4 ,5 ]
Su, Heng [6 ]
Yang, Xilin [7 ]
Li, Xia [1 ,8 ]
Zhou, Zhiguang [1 ]
机构
[1] Second Xiangya Hosp Cent South Univ, Natl Clin Res Ctr Metab Dis, Minist Educ, Dept Metab & Endocrinol,Key Lab Diabet Immunol Cen, Changsha 410011, Hunan, Peoples R China
[2] Second Xiangya Hosp Cent South Univ, Natl Clin Res Ctr Metab Dis, Dept Metab & Endocrinol, Hunan Prov Key Lab Metab Bone Dis, Changsha 410011, Hunan, Peoples R China
[3] Heji Hosp Affiliated Changzhi Med Coll, Dept Endocrinol, Changzhi 046000, Shanxi, Peoples R China
[4] Affiliated Hosp 1, Dept Endocrinol, Luoyang 471003, Henan, Peoples R China
[5] Coll Clin Med Henan Univ Sci & Technol, Luoyang 471003, Henan, Peoples R China
[6] Peoples Hosp Yunnan 1, Affiliated Hosp Kunming Univ Sci & Technol, Dept Endocrinol, Kunming 650032, Yunnan, Peoples R China
[7] Tianjin Med Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, Tianjin 300070, Peoples R China
[8] Second Xiangya Hosp Cent South Univ, Dept Metab & Endocrinol, 139,Renmin Middle Rd,Furong Dist, Changsha 410011, Hunan, Peoples R China
基金
国家重点研发计划;
关键词
Beta-cell function; Dyslipidemia; Insulin resistance; Type; 1; diabetes; 2; CARDIOVASCULAR-DISEASE; TYPE-1; DYSLIPIDEMIA; LIPOPROTEINS; MULTICENTER; MORTALITY; MELLITUS; HDL;
D O I
10.1097/CM9.0000000000002075
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background:Abnormal lipids are strong predictors of cardiovascular disease in type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM). However, the potential associations of insulin resistance (IR) and beta-cell function (BCF) with abnormal lipids in newly diagnosed T1DM or T2DM patients are not fully understood.Methods:A cross-sectional survey of 15,928 participants was conducted. Homeostasis model assessment and postprandial C-peptide levels were used to estimate IR and BCF. A restricted cubic spline (RCS) nested in binary logistic regression was used to examine the associations of IR and BCF with abnormal lipids.Results:High triglyceride (TG), low high-density lipoprotein cholesterol, and high low-density lipoprotein cholesterol (LDL-C) accounted for 49.7%, 47.8%, and 59.2% of the participants, respectively. In multivariable analysis, high IR was associated with an increased risk of high TGs (P for trend <0.001) in T1DM and is associated with an elevated risk of high TG and low HDL-C (all P for trend <0.01) in T2DM. Low BCF was not associated with risks of dyslipidemia in patients with T1DM or T2DM after adjustment for potential confounders.Conclusion:High IR had different associations with the risk of dyslipidemia in newly diagnosed T1DM and T2DM patients, suggesting that early treatment that improves IR may benefit abnormal lipid metabolism.
引用
收藏
页码:2554 / 2562
页数:9
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