PMID- 36523225 OWN - NLM STAT- MEDLINE DCOM- 20221219 LR - 20221222 IS - 2044-6055 (Electronic) IS - 2044-6055 (Linking) VI - 12 IP - 12 DP - 2022 Dec 13 TI - External validation of the risk prediction model for early diabetic kidney disease in Taiwan population: a retrospective cohort study. PG - e059139 LID - 10.1136/bmjopen-2021-059139 [doi] LID - e059139 AB - OBJECTIVES: This study aims to independently and externally validate the Risk Prediction Model for Diabetic Kidney Disease (RPM-DKD) in patients with type 2 diabetes mellitus (T2DM). DESIGN: This is a retrospective cohort study. SETTING: Outpatient clinics at Lee's United Clinics, Taiwan, China. PARTICIPANTS: A total of 2504 patients (average age 55.44 years, SD, 7.49 years) and 4455 patients (average age 57.88 years, SD, 8.80 years) were included for analysis in the DKD prediction and progression prediction cohorts, respectively. EXPOSURE: The predicted risk for DKD and DKD progression for each patient were all calculated using the RPM-DKD. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome measure was overall incidence of DKD. Secondary outcomes included DKD progression. The discrimination, calibration and precision of the RPM-DKD score were assessed. RESULTS: The DKD prediction cohort and progression prediction cohort consisted of patients with 2504 and 4455 T2DM, respectively. The RPM-DKD examined in this study showed moderately discriminative ability with area under the curve ranged from 0.636 to 0.681 for the occurrence of DKD and 0.620 to 0.654 for the progression of DKD. The Hosmer-Lemeshow chi(2) test indicted the RPM-DKD was not well calibrated for predicting the occurrence of DKD and overestimated the progression of DKD. The precision for predicting the occurrence and progression of DKD were 43.2% and 42.2%, respectively. CONCLUSIONS: On external validation, the RPM-DKD cannot accurately predict the risk of DKD occurrence and progression in patients with T2DM. CI - (c) Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. FAU - Sun, Zhenzhen AU - Sun Z AD - Hainan Clinical Research Center for metabolic disease, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China. AD - Nursing College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China. FAU - Wang, Kun AU - Wang K AD - Nursing College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China. FAU - Miller, Joshua D AU - Miller JD AD - Department of Medicine, Stony Brook University Renaissance School of Medicine, Stony Brook, New York, USA. FAU - Yuan, Xiaodan AU - Yuan X AD - Department of Public Health, Affiliated Hospital of Integrated Traditional Chinese and Western, Nanjing, China. FAU - Lee, Yau-Jiunn AU - Lee YJ AD - Department of Endocrinology, Lee's Clinic, Taiwan, China. FAU - Lou, Qingqing AU - Lou Q AUID- ORCID: 0000-0002-4743-0900 AD - Hainan Clinical Research Center for metabolic disease, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China 2444890144@qq.com. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20221213 PL - England TA - BMJ Open JT - BMJ open JID - 101552874 SB - IM MH - Humans MH - Middle Aged MH - *Diabetic Nephropathies/epidemiology MH - *Diabetes Mellitus, Type 2/complications/epidemiology MH - Retrospective Studies MH - Taiwan/epidemiology MH - Risk Factors PMC - PMC9748925 OTO - NOTNLM OT - DIABETES & ENDOCRINOLOGY OT - Diabetic nephropathy & vascular disease OT - General diabetes COIS- Competing interests: None declared. EDAT- 2022/12/17 06:00 MHDA- 2022/12/20 06:00 PMCR- 2022/12/13 CRDT- 2022/12/16 02:03 PHST- 2022/12/16 02:03 [entrez] PHST- 2022/12/17 06:00 [pubmed] PHST- 2022/12/20 06:00 [medline] PHST- 2022/12/13 00:00 [pmc-release] AID - bmjopen-2021-059139 [pii] AID - 10.1136/bmjopen-2021-059139 [doi] PST - epublish SO - BMJ Open. 2022 Dec 13;12(12):e059139. doi: 10.1136/bmjopen-2021-059139.