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[A nested case-control study on relationship of traditional and combined lipid metabolism indexes with incidence of diabetes].
Bai, Z; Zhang, D S; Zhang, R; Yin, C; Wang, R N; Huang, W Y; Ding, J; Yang, J L; Huang, P Y; Liu, N; Wang, Y F; Cheng, N; Bai, Y N.
Afiliación
  • Bai Z; Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China.
  • Zhang DS; Workers' Hospital of Jinchuan Group, Jinchang 737100, China.
  • Zhang R; Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China.
  • Yin C; Workers' Hospital of Jinchuan Group, Jinchang 737100, China.
  • Wang RN; Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China.
  • Huang WY; Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China.
  • Ding J; Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China.
  • Yang JL; Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China.
  • Huang PY; Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China.
  • Liu N; Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China.
  • Wang YF; Workers' Hospital of Jinchuan Group, Jinchang 737100, China.
  • Cheng N; School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China.
  • Bai YN; Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China.
Zhonghua Liu Xing Bing Xue Za Zhi ; 42(4): 656-661, 2021 Apr 10.
Article en Zh | MEDLINE | ID: mdl-34814446
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diabetes Mellitus / Metabolismo de los Lípidos Tipo de estudio: Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diabetes Mellitus / Metabolismo de los Lípidos Tipo de estudio: Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: China