PMID- 38390180 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20240224 IS - 2405-8440 (Print) IS - 2405-8440 (Electronic) IS - 2405-8440 (Linking) VI - 10 IP - 4 DP - 2024 Feb 29 TI - Risk factor analysis and nomogram for predicting gastroparesis in patients with type 2 diabetes mellitus. PG - e26221 LID - 10.1016/j.heliyon.2024.e26221 [doi] LID - e26221 AB - PURPOSE: The incidence of gastroparesis is higher in individuals diagnosed with type 2 diabetes mellitus (T2DM) compared to the healthy individuals. Our study aimed to explore the risk factors for gastroparesis in T2DM and to establish a clinical prediction model (nomogram). METHODS: Our study enlisted 694 patients with T2DM from two medical centers over a period of time. From January 2020 to December 2022, 347 and 149 patients were recruited from the Beilun branch of Zhejiang University's First Affiliated Hospital in the training and internal validation cohorts, respectively. The external validation cohort consisted of 198 patients who were enrolled at Nanchang University's First Affiliated Hospital from October 2020 to September 2021. We conducted univariate and multivariate logistic regression analyses to select the risk factors for gastroparesis in patients with T2DM; subsequently,we developed a nomogram model. The performance of the nomogram was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC), calibration curve, and decision curve analysis(DCA). RESULTS: Four clinical variables, including age, regular exercise, glycated hemoglobin level(HbA1c), and Helicobacter pylori (H. pylori) infection, were identified and included in the model. The model demonstrated excellent discrimination, with an AUC of 0.951 (95% CI = 0.925-0.978) in the training group, and 0.910 (95% CI = 0.859-0.961) and 0.875 (95% CI = 0.813-0.937) in the internal and external validation groups, respectively. The calibration curve showed good consistency between prediction of the model and observed gastroparesis. The DCA also demonstrated good clinical efficacy. CONCLUSION: The nomogram model developed in this study showed good performance in predicting gastroparesis in patients with T2DM. CI - (c) 2024 The Authors. Published by Elsevier Ltd. FAU - Yuan, Hai-Liang AU - Yuan HL AD - Department of Gastroenterology, Beilun Branch of the First Affiliated Hospital of Zhejiang University, Ningbo, China. AD - The Precision Medicine Laboratory, Beilun Branch of the First Affiliated Hospital of Zhejiang University, Ningbo, China. FAU - Zhang, Xian AU - Zhang X AD - Department of Endocrinology, the First Affiliated Hospital of Nanchang University, Nanchang, China. FAU - Chu, Wei-Wei AU - Chu WW AD - Department of Gastroenterology, Beilun Branch of the First Affiliated Hospital of Zhejiang University, Ningbo, China. FAU - Lin, Guan-Bin AU - Lin GB AD - Department of Gastroenterology, Beilun Branch of the First Affiliated Hospital of Zhejiang University, Ningbo, China. FAU - Xu, Chun-Xia AU - Xu CX AD - Department of Gastroenterology, Beilun Branch of the First Affiliated Hospital of Zhejiang University, Ningbo, China. LA - eng PT - Journal Article DEP - 20240214 PL - England TA - Heliyon JT - Heliyon JID - 101672560 PMC - PMC10881375 OTO - NOTNLM OT - Gastroparesis OT - Model OT - Nomogram OT - Prediction OT - Type 2 diabetes mellitus COIS- The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. EDAT- 2024/02/23 06:43 MHDA- 2024/02/23 06:44 PMCR- 2024/02/14 CRDT- 2024/02/23 03:52 PHST- 2023/11/12 00:00 [received] PHST- 2024/02/06 00:00 [revised] PHST- 2024/02/08 00:00 [accepted] PHST- 2024/02/23 06:44 [medline] PHST- 2024/02/23 06:43 [pubmed] PHST- 2024/02/23 03:52 [entrez] PHST- 2024/02/14 00:00 [pmc-release] AID - S2405-8440(24)02252-7 [pii] AID - e26221 [pii] AID - 10.1016/j.heliyon.2024.e26221 [doi] PST - epublish SO - Heliyon. 2024 Feb 14;10(4):e26221. doi: 10.1016/j.heliyon.2024.e26221. eCollection 2024 Feb 29.