Association between preoperative lipid profiles and new‐onset diabetes after transplantation in Chinese kidney transplant recipients: A retrospective cohort study

التفاصيل البيبلوغرافية
العنوان: Association between preoperative lipid profiles and new‐onset diabetes after transplantation in Chinese kidney transplant recipients: A retrospective cohort study
المؤلفون: Dong Zhu, Yinqiu Yang, Jian Gao, Chaoyang Lv, Tongyu Zhu, Yangli Ye, Ming Xu, Mingxiang Yu, Minling Chen, Jing Liang, Jina Wang, Ruiming Rong
المصدر: Journal of Clinical Laboratory Analysis
بيانات النشر: Wiley, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Male, 0301 basic medicine, Clinical Biochemistry, 0302 clinical medicine, Risk Factors, Interquartile range, Immunology and Allergy, new‐onset diabetes after transplantation, Research Articles, Kidney transplantation, total cholesterol, Hazard ratio, low‐density lipoprotein cholesterol, Hematology, Middle Aged, Lipids, Medical Laboratory Technology, 030220 oncology & carcinogenesis, Preoperative Period, Female, lipids (amino acids, peptides, and proteins), Research Article, Adult, Microbiology (medical), non‐high‐density lipoprotein cholesterol, medicine.medical_specialty, kidney transplantation, 03 medical and health sciences, Asian People, Diabetes mellitus, Internal medicine, Diabetes Mellitus, medicine, Humans, Triglycerides, Retrospective Studies, business.industry, Proportional hazards model, Cholesterol, HDL, Biochemistry (medical), Public Health, Environmental and Occupational Health, Retrospective cohort study, Cholesterol, LDL, medicine.disease, Transplant Recipients, Confidence interval, Transplantation, 030104 developmental biology, Multivariate Analysis, business, Follow-Up Studies
الوصف: Background This study investigated the association between the preoperative lipid profiles and new‐onset diabetes after transplantation (NODAT) in Chinese kidney transplant recipients (KTRs). Methods In this study, of 1140 KTRs registered between January 1993 and March 2018 in Zhongshan Hospital, Fudan University, 449 were enrolled. Clinical data, obtained through a chart review of the patient records in the medical record system, were evaluated, and NODAT was diagnosed based on the American Diabetes Association guidelines. Multivariate Cox regression analysis was conducted to determine whether the preoperative lipid profiles in KTRs were independently associated with NODAT incidence. The preoperative lipid profiles were analyzed as continuous variables and grouped into tertiles. Smooth curve fitting was used to confirm the linear associations. Results During a median follow‐up of 28.03 (interquartile range 12.00–84.23) months, 104 of the 449 (23.16%) participants developed NODAT. The multivariate model analysis, adjusted for all potential covariates, showed that increased values of the following parameters were associated with NODAT (hazard ratio, 95% confidence interval): preoperative total cholesterol (TC; 1.25, 1.09–1.58, p = 0.0495), low‐density lipoprotein cholesterol (LDL‐C; 1.33, 1.02–1.75, p = 0.0352), non‐high‐density lipoprotein cholesterol (non‐HDL‐C; 1.41, 1.09–1.82, p = 0.0084), TC/HDL‐C (1.28, 1.06–1.54, p = 0.0109), and non‐HDL‐C/HDL‐C (1.26, 1.05–1.52, p = 0.0138). However, the association between the preoperative triglyceride, HDL‐C, or TG/HDL‐C and NODAT was not significant. Conclusions Preoperative TC, LDL‐C, non‐HDL‐C, TC/HDL‐C, and non‐HDL‐C/HDL‐C were independent risk factors for NODAT.
The relationship between preoperative lipid profiles and NODAT. The area between two dotted lines is expressed as a 95% confidence interval. Each point shows the preoperative lipid level and is connected to form a continuous line. Preoperative TC, LDL‐C, non‐HDL‐C, TC/HDL‐C, and non‐HDL‐C/HDL‐C are independent risk factors for NODAT. However, the association between preoperative TG, HDL‐C, or TG/HDL‐C and NODAT was not significant.
تدمد: 1098-2825
0887-8013
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2218570b5d348dea4eec106938820591Test
https://doi.org/10.1002/jcla.23867Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....2218570b5d348dea4eec106938820591
قاعدة البيانات: OpenAIRE