ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020
Nomogram Based on Risk Factors for Type 2 Diabetes Mellitus Patients with Coronary Heart Disease.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Narrative review of the development of an ischaemic heart disease prognostic scoring tool (i-IHD score) among patients with type 2 diabetes mellitus in Malaysia.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2026Review
- Analysis risk factors of long-term adverse outcomes and a prediction nomogram for coronary artery disease patients underwent fractional flow reserve.International journal of medical sciences · 2025Article
- Development and validation of a nomogram to predict mortality risk in patients with ischemic heart disease.Frontiers in cardiovascular medicine · 2023Article
- Development and External Validation of Nomogram to Identify Risk Factors for CHD in T2DM in the Population of Northwestern China.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Article
- Abnormal expression of long non-coding RNA rhabdomyosarcoma 2-associated transcript (RMST) participates in the pathological mechanism of atherosclerosis by regulating miR-224-3p.Bioengineered · 2022Article
- Prediction of Atrial Fibrillation in Hospitalized Elderly Patients With Coronary Heart Disease and Type 2 Diabetes Mellitus Using Machine Learning: A Multicenter Retrospective Study.Frontiers in public health · 2022Article
- Nomogram based on multimodal echocardiography for assessing the evolution of diabetic cardiomyopathy in diabetic patients with normal cardiac function.Frontiers in cardiovascular medicine · 2022Article
- Predictive nomogram for coronary heart disease in patients with type 2 diabetes mellitus.Frontiers in cardiovascular medicine · 2022Article
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5 authors.
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Abstract
introductionThis study aimed to study risk factors for coronary heart disease (CHD) in type 2 diabetes mellitus (T2DM) patients and establish a clinical prediction model. RESEARCH DESIGN AND
methodsA total of 3402 T2DM patients were diagnosed by clinical doctors and recorded in the electronic medical record system (EMRS) of six Community Health Center Hospitals from 2015 to 2017, including the communities of Huamu, Jinyang, Yinhang, Siping, Sanlin and Daqiao. From September 2018 to September 2019, 3361 patients (41 patients were missing) were investigated using a questionnaire, physical examination, and biochemical index test. After excluding the uncompleted data, 3214 participants were included in the study and randomly divided into a training set (n = 2252) and a validation set (n = 962) at a ratio of 3:1. Through lead absolute shrinkage and selection operator (LASSO) regression analysis and logistic regression analysis of the training set, risk factors were determined and included in a nomogram. The C-index, receiver operating characteristic (ROC) curve, calibration plot and decision curve analysis (DCA) were used to validate the distinction, calibration and clinical practicality of the model.
resultsAge, T2DM duration, hypertension (HTN), hyperuricaemia (HUA), body mass index (BMI), glycosylated haemoglobin A1c (HbA1c), high-density lipoprotein (HDL-C) and low-density lipoprotein (LDL-C) were significant factors in this study. The C-index was 0.750 (0.724-0.776) based on the training set and 0.767 (0.726-0.808) based on the validation set. Through ROC analysis, the set area was 0.750 for the training set and 0.755 for the validation set. The calibration test indicated that the S:P of the prediction model was 0.982 in the training set and 0.499 in the validation set. The decision curve analysis showed that the threshold probability of the model was 16-69% in the training set and 16-73% in the validation set.
conclusionBased on community surveys and data analysis, a prediction model of CHD in T2DM patients was established.
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