biostudies-literatureUnknown55(1)Hao M<h4>Objective</h4>Diabetes mellitus complicated with heart failure has high mortality and morbidity, but no reliable diagnoses and treatments are available. This study aimed to develop and verify a new model nomogram based on clinical parameters to predict diastolic cardiac dysfunction in patients with Type 2 diabetes mellitus (T2DM).<h4>Methods</h4>3030 patients with T2DM underwent Doppler echocardiography at the First Affiliated Hospital of Shenzhen University between January 2014 and December 2021. The patients were divided into the training dataset (<i>n</i> = 1701) and the verification dataset (<i>n</i> = 1329). In this study, a predictive diastolic cardiac dysfunction nomogram is developed using multivariable logical regression analysis, which contains the candidates selected in a miAnnals of medicine766-777https://www.ebi.ac.uk/biostudies/studies/S-EPMC10798288biostudies-literatureNovel model predicts diastolic cardiac dysfunction in type 2 diabetes.PMC10798288Liu XFang XLi HZhou LLv LHao MHuang XYan DGuo TfalseNovel model predicts diastolic cardiac dysfunction in type 2 diabetes.<h4>Objective</h4>Diabetes mellitus complicated with heart failure has high mortality and morbidity, but no reliable diagnoses and treatments are available. This study aimed to develop and verify a new model nomogram based on clinical parameters to predict diastolic cardiac dysfunction in patients with Type 2 diabetes mellitus (T2DM).<h4>Methods</h4>3030 patients with T2DM underwent Doppler echocardiography at the First Affiliated Hospital of Shenzhen University between January 2014 and December 2021. The patients were divided into the training dataset (<i>n</i> = 1701) and the verification dataset (<i>n</i> = 1329). In this study, a predictive diastolic cardiac dysfunction nomogram is developed using multivariable logical regression analysis, which contains the candidates selected in a mi2023-01-01T00:00:00Z2023 Dec2025-04-04T14:16:36.877Z2025-04-04T14:16:36.877ZS-EPMC107982883690824010.1080/07853890.2023.2180154