PMID- 34724145 OWN - NLM STAT- MEDLINE DCOM- 20220613 LR - 20220716 IS - 1573-2584 (Electronic) IS - 0301-1623 (Print) IS - 0301-1623 (Linking) VI - 54 IP - 7 DP - 2022 Jul TI - Scoring model to predict risk of chronic kidney disease in Chinese health screening examinees with type 2 diabetes. PG - 1629-1639 LID - 10.1007/s11255-021-03045-9 [doi] AB - PURPOSE: As health screening continues to increase in China, there is an opportunity to integrate a large number of demographic as well as subjective and objective clinical data into risk prediction modeling. The aim of this study was to develop and validate a prediction model for chronic kidney disease (CKD) in Chinese health screening examinees with type 2 diabetes mellitus (T2DM). METHODS: We conducted a retrospective cohort study consisting of 2051 Chinese T2DM patients between 35 and 78 years old who were enrolled in the XY3CKD Follow-up Program between 2009 and 2010. All participants were randomly assigned into a derivation set or a validation set at a 2:1 ratio. Cox proportional hazards regression model was selected for the analysis of risk factors for the development of the proposed risk model of CKD. We established a prediction model with a scoring system following the steps proposed by the Framingham Heart Study. RESULTS: The mean follow-up was 8.52 years, with a total of 315 (23.20%) and 189 (27.27%) incident CKD cases in the derivation set and validation set, respectively. We identified the following risk factors: age, gender, body mass index, duration of type 2 diabetes, variation of fasting blood glucose, stroke, and hypertension. The points were summed to obtain individual scores (from 0 to 15). The areas under the curve of 3-, 5- and 10-year CKD risks were 0.843, 0.799 and 0.780 in the derivation set and 0.871, 0.803 and 0.785 in the validation set, respectively. CONCLUSIONS: The proposed scoring system is a promising tool for further application of assisting Chinese medical staff for early prevention of T2DM complications among health screening examinees. CI - (c) 2021. The Author(s). FAU - Cao, Xia AU - Cao X AD - Department of Health Management, Health Management Research Center of Central South University, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan Province, China. FAU - Yang, Binfang AU - Yang B AD - Department of Health Management, Health Management Research Center of Central South University, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan Province, China. FAU - Zhou, Jiansong AU - Zhou J AUID- ORCID: 0000-0003-1058-8218 AD - Department of Psychiatry & Mental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, China. jasonzhou75@163.com. LA - eng GR - 2017JJ3470/Natural Science Foundation of Hunan Province/ GR - 71804199/National Natural Science Foundation of China/ PT - Journal Article PT - Randomized Controlled Trial DEP - 20211101 PL - Netherlands TA - Int Urol Nephrol JT - International urology and nephrology JID - 0262521 SB - IM MH - Adult MH - Aged MH - China/epidemiology MH - *Diabetes Mellitus, Type 2/diagnosis/epidemiology MH - Humans MH - Middle Aged MH - *Renal Insufficiency, Chronic/complications/diagnosis/epidemiology MH - Retrospective Studies MH - Risk Factors PMC - PMC9184348 OTO - NOTNLM OT - Chronic kidney disease (CKD) OT - Prediction model OT - Risk factors OT - Type 2 diabetes COIS- The authors have declared that no conflict of interest exists. EDAT- 2021/11/02 06:00 MHDA- 2022/06/14 06:00 PMCR- 2021/11/01 CRDT- 2021/11/01 16:55 PHST- 2020/07/24 00:00 [received] PHST- 2021/10/24 00:00 [accepted] PHST- 2021/11/02 06:00 [pubmed] PHST- 2022/06/14 06:00 [medline] PHST- 2021/11/01 16:55 [entrez] PHST- 2021/11/01 00:00 [pmc-release] AID - 10.1007/s11255-021-03045-9 [pii] AID - 3045 [pii] AID - 10.1007/s11255-021-03045-9 [doi] PST - ppublish SO - Int Urol Nephrol. 2022 Jul;54(7):1629-1639. doi: 10.1007/s11255-021-03045-9. Epub 2021 Nov 1.