Development and External Validation of Nomogram to Identify Risk Factors for CHD in T2DM in the Population of Northwestern China

Qi Meng,1,2,* Jing Yang,1,2 Fei Wang,1,2 Cheng Li,3 Guoyao Sang,4 Hua Liu,1,2 Di Shen,1,2 Jinxia Zhang,1,2 Sheng Jiang,1,2,* Aibibai Yusufu,1,2,* Guoli Du1,2,* 1State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia,...

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Main Authors: Meng Q, Yang J, Wang F, Li C, Sang G, Liu H, Shen D, Zhang J, Jiang S, Yusufu A, Du G
Format: Article
Language:English
Published: Dove Medical Press 2023-05-01
Series:Diabetes, Metabolic Syndrome and Obesity
Subjects:
Online Access:https://www.dovepress.com/development-and-external-validation-of-nomogram-to-identify-risk-facto-peer-reviewed-fulltext-article-DMSO
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author Meng Q
Yang J
Wang F
Li C
Sang G
Liu H
Shen D
Zhang J
Jiang S
Yusufu A
Du G
author_facet Meng Q
Yang J
Wang F
Li C
Sang G
Liu H
Shen D
Zhang J
Jiang S
Yusufu A
Du G
author_sort Meng Q
collection DOAJ
description Qi Meng,1,2,* Jing Yang,1,2 Fei Wang,1,2 Cheng Li,3 Guoyao Sang,4 Hua Liu,1,2 Di Shen,1,2 Jinxia Zhang,1,2 Sheng Jiang,1,2,* Aibibai Yusufu,1,2,* Guoli Du1,2,* 1State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Urumqi, People’s Republic of China; 2Department of Endocrinology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, People’s Republic of China; 3Laboratory Medicine Diagnostic Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, People’s Republic of China; 4Data Statistics and Analysis Center of Operation Management Department, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, People’s Republic of China*These authors contributed equally to this workCorrespondence: Guoli Du; Aibibai Yusufu, Department of Endocrinology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830000, People’s Republic of China, Email genemagic@126.com; hebibe@163.comPurpose: Cardiovascular disease is the leading cause of mortality in patients with type 2 diabetes mellitus (T2DM). This study aimed to develop and validate a nomogram for predicting the risk factors for coronary heart disease (CHD) in T2DM in the population of northwestern China.Patients and Methods: The records of 2357 T2DM patients who were treated in the First Affiliated Hospital of Xinjiang Medical University from July 2021 to July 2022 were reviewed. After some data (n =239) were excluded, 2118 participants were included in the study and randomly divided into a training set (n =1483) and a validation set (n = 635) at a ratio of 3:1. Univariate and stepwise regression analysis was performed to screen risk factors and develop predictive models. The results of logistic regression are presented through a nomogram. The C-index, receiver operating characteristic (ROC) curve, calibration plot, and decision curve analysis (DCA) were employed to verify the distinction, calibration, and clinical practicality of the model.Results: The stepwise logistic regression analysis suggested that independent factors in patients with T2DM combined with CHD were age, gender, hypertension (HTN), glycated hemoglobin (HbA1c), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), and Uygur, which were associated with the occurrence of CHD. The nomogram demonstrated good discrimination with a C-index of 0.771 (95% CI, 0.741, 0.800) in the training set and 0.785 (95% CI, 0.743, 0.828) in the validation set. The area under curve (AUC) of the ROC curves were 0.771 (95% CI, 0.741, 0.800) and 0.785 (95% CI, 0.743, 0.828) in the training and validation sets, respectively. The nomogram was well-calibrated. The DCA revealed that the nomogram was clinically valuable.Conclusion: A nomogram based on 7 clinical characteristics was developed to predict CHD in patients with T2DM.Keywords: nomogram, coronary heart disease, type 2 diabetes mellitus, ethnicity, risk factor
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spelling doaj.art-a4f072c789124e69922cb3dffe4597462023-05-04T19:14:20ZengDove Medical PressDiabetes, Metabolic Syndrome and Obesity1178-70072023-05-01Volume 161271128283511Development and External Validation of Nomogram to Identify Risk Factors for CHD in T2DM in the Population of Northwestern ChinaMeng QYang JWang FLi CSang GLiu HShen DZhang JJiang SYusufu ADu GQi Meng,1,2,* Jing Yang,1,2 Fei Wang,1,2 Cheng Li,3 Guoyao Sang,4 Hua Liu,1,2 Di Shen,1,2 Jinxia Zhang,1,2 Sheng Jiang,1,2,* Aibibai Yusufu,1,2,* Guoli Du1,2,* 1State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Urumqi, People’s Republic of China; 2Department of Endocrinology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, People’s Republic of China; 3Laboratory Medicine Diagnostic Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, People’s Republic of China; 4Data Statistics and Analysis Center of Operation Management Department, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, People’s Republic of China*These authors contributed equally to this workCorrespondence: Guoli Du; Aibibai Yusufu, Department of Endocrinology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830000, People’s Republic of China, Email genemagic@126.com; hebibe@163.comPurpose: Cardiovascular disease is the leading cause of mortality in patients with type 2 diabetes mellitus (T2DM). This study aimed to develop and validate a nomogram for predicting the risk factors for coronary heart disease (CHD) in T2DM in the population of northwestern China.Patients and Methods: The records of 2357 T2DM patients who were treated in the First Affiliated Hospital of Xinjiang Medical University from July 2021 to July 2022 were reviewed. After some data (n =239) were excluded, 2118 participants were included in the study and randomly divided into a training set (n =1483) and a validation set (n = 635) at a ratio of 3:1. Univariate and stepwise regression analysis was performed to screen risk factors and develop predictive models. The results of logistic regression are presented through a nomogram. The C-index, receiver operating characteristic (ROC) curve, calibration plot, and decision curve analysis (DCA) were employed to verify the distinction, calibration, and clinical practicality of the model.Results: The stepwise logistic regression analysis suggested that independent factors in patients with T2DM combined with CHD were age, gender, hypertension (HTN), glycated hemoglobin (HbA1c), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), and Uygur, which were associated with the occurrence of CHD. The nomogram demonstrated good discrimination with a C-index of 0.771 (95% CI, 0.741, 0.800) in the training set and 0.785 (95% CI, 0.743, 0.828) in the validation set. The area under curve (AUC) of the ROC curves were 0.771 (95% CI, 0.741, 0.800) and 0.785 (95% CI, 0.743, 0.828) in the training and validation sets, respectively. The nomogram was well-calibrated. The DCA revealed that the nomogram was clinically valuable.Conclusion: A nomogram based on 7 clinical characteristics was developed to predict CHD in patients with T2DM.Keywords: nomogram, coronary heart disease, type 2 diabetes mellitus, ethnicity, risk factorhttps://www.dovepress.com/development-and-external-validation-of-nomogram-to-identify-risk-facto-peer-reviewed-fulltext-article-DMSOnomogramcoronary heart diseasetype 2 diabetes mellitusethnicityrisk factor
spellingShingle Meng Q
Yang J
Wang F
Li C
Sang G
Liu H
Shen D
Zhang J
Jiang S
Yusufu A
Du G
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
nomogram
coronary heart disease
type 2 diabetes mellitus
ethnicity
risk factor
title Development and External Validation of Nomogram to Identify Risk Factors for CHD in T2DM in the Population of Northwestern China
title_full Development and External Validation of Nomogram to Identify Risk Factors for CHD in T2DM in the Population of Northwestern China
title_fullStr Development and External Validation of Nomogram to Identify Risk Factors for CHD in T2DM in the Population of Northwestern China
title_full_unstemmed Development and External Validation of Nomogram to Identify Risk Factors for CHD in T2DM in the Population of Northwestern China
title_short Development and External Validation of Nomogram to Identify Risk Factors for CHD in T2DM in the Population of Northwestern China
title_sort development and external validation of nomogram to identify risk factors for chd in t2dm in the population of northwestern china
topic nomogram
coronary heart disease
type 2 diabetes mellitus
ethnicity
risk factor
url https://www.dovepress.com/development-and-external-validation-of-nomogram-to-identify-risk-facto-peer-reviewed-fulltext-article-DMSO
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