Development and validation of a novel nomogram to predict coronary artery calcification: a single center study
Abstract Objective To identify the factors influencing coronary artery calcification (CAC), develop a predictive model for CAC, and evaluate its effectiveness. Methods This retrospective study included 1,526 patients who underwent coronary CT scans at our hospital between January 2020 and October 20...
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BMC
2025-07-01
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| Series: | European Journal of Medical Research |
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| Online Access: | https://doi.org/10.1186/s40001-025-02887-8 |
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| author | Xiangnan Shen Xia Li Fang He Honglei Su Hongtao He Guobin Kang |
| author_facet | Xiangnan Shen Xia Li Fang He Honglei Su Hongtao He Guobin Kang |
| author_sort | Xiangnan Shen |
| collection | DOAJ |
| description | Abstract Objective To identify the factors influencing coronary artery calcification (CAC), develop a predictive model for CAC, and evaluate its effectiveness. Methods This retrospective study included 1,526 patients who underwent coronary CT scans at our hospital between January 2020 and October 2024. Patient data included basic demographic information (age, sex, BMI, smoking, alcohol consumption, hypertension, coronary artery disease, hyperlipidemia, diabetes, cerebrovascular disease, etc.) and laboratory test results (TSH, FT4, FT3, LDL, HDL, VLDL, TG, TCHO, etc.). Lasso and logistic regression analyses were conducted to identify significant factors, and a nomogram was developed. The model's performance was evaluated using calibration plots, ROC curves, AUC values, and decision curve analysis (DCA). Results Univariate analysis showed that the non-calcification group had a longer history of hyperlipidemia and alcohol consumption, and higher triglyceride levels. In the calcification group, patients were older, predominantly male, had higher triglyceride blood glucose index (TyG) levels, and had longer durations of coronary artery disease, hypertension, diabetes, cerebral infarction, and smoking (P< 0.05). Multivariate analysis revealed that age, sex, and the duration of coronary artery disease, hypertension, diabetes, hyperlipidemia, smoking, and alcohol consumption were significantly associated with coronary artery calcification (P< 0.05). Conclusion This study identified sex, age, and the duration of coronary artery disease, hypertension, diabetes, hyperlipidemia, smoking, and alcohol consumption as key factors influencing coronary artery calcification. The predictive model developed using these factors demonstrated strong predictive performance. |
| format | Article |
| id | doaj-art-0d4750d0cf7d4e6d9cf91bb93d4d2db2 |
| institution | Kabale University |
| issn | 2047-783X |
| language | English |
| publishDate | 2025-07-01 |
| publisher | BMC |
| record_format | Article |
| series | European Journal of Medical Research |
| spelling | doaj-art-0d4750d0cf7d4e6d9cf91bb93d4d2db22025-08-20T04:01:56ZengBMCEuropean Journal of Medical Research2047-783X2025-07-013011910.1186/s40001-025-02887-8Development and validation of a novel nomogram to predict coronary artery calcification: a single center studyXiangnan Shen0Xia Li1Fang He2Honglei Su3Hongtao He4Guobin Kang5Department of Orthopedics 2, Hebei Provincial Hospital of Chinese Medicine/The First Affiliated Hospital of Hebei University of Chinese MedicineDepartment of Cardiology 1, Hebei Provincial Hospital of Chinese Medicine/The First Affiliated Hospital of Hebei University of Chinese MedicineMedical Service, Hebei Provincial Hospital of Chinese Medicine/The First Affiliated Hospital of Hebei University of Chinese MedicineInternal Department One, Xinle Hospital of Traditional Chinese MedicineDepartment of Cardiology 1, Hebei Provincial Hospital of Chinese Medicine/The First Affiliated Hospital of Hebei University of Chinese MedicineDepartment of Cardiology 1, Hebei Provincial Hospital of Chinese Medicine/The First Affiliated Hospital of Hebei University of Chinese MedicineAbstract Objective To identify the factors influencing coronary artery calcification (CAC), develop a predictive model for CAC, and evaluate its effectiveness. Methods This retrospective study included 1,526 patients who underwent coronary CT scans at our hospital between January 2020 and October 2024. Patient data included basic demographic information (age, sex, BMI, smoking, alcohol consumption, hypertension, coronary artery disease, hyperlipidemia, diabetes, cerebrovascular disease, etc.) and laboratory test results (TSH, FT4, FT3, LDL, HDL, VLDL, TG, TCHO, etc.). Lasso and logistic regression analyses were conducted to identify significant factors, and a nomogram was developed. The model's performance was evaluated using calibration plots, ROC curves, AUC values, and decision curve analysis (DCA). Results Univariate analysis showed that the non-calcification group had a longer history of hyperlipidemia and alcohol consumption, and higher triglyceride levels. In the calcification group, patients were older, predominantly male, had higher triglyceride blood glucose index (TyG) levels, and had longer durations of coronary artery disease, hypertension, diabetes, cerebral infarction, and smoking (P< 0.05). Multivariate analysis revealed that age, sex, and the duration of coronary artery disease, hypertension, diabetes, hyperlipidemia, smoking, and alcohol consumption were significantly associated with coronary artery calcification (P< 0.05). Conclusion This study identified sex, age, and the duration of coronary artery disease, hypertension, diabetes, hyperlipidemia, smoking, and alcohol consumption as key factors influencing coronary artery calcification. The predictive model developed using these factors demonstrated strong predictive performance.https://doi.org/10.1186/s40001-025-02887-8Coronary artery calcificationInfluencing factorsNomogramTyGPrediction |
| spellingShingle | Xiangnan Shen Xia Li Fang He Honglei Su Hongtao He Guobin Kang Development and validation of a novel nomogram to predict coronary artery calcification: a single center study European Journal of Medical Research Coronary artery calcification Influencing factors Nomogram TyG Prediction |
| title | Development and validation of a novel nomogram to predict coronary artery calcification: a single center study |
| title_full | Development and validation of a novel nomogram to predict coronary artery calcification: a single center study |
| title_fullStr | Development and validation of a novel nomogram to predict coronary artery calcification: a single center study |
| title_full_unstemmed | Development and validation of a novel nomogram to predict coronary artery calcification: a single center study |
| title_short | Development and validation of a novel nomogram to predict coronary artery calcification: a single center study |
| title_sort | development and validation of a novel nomogram to predict coronary artery calcification a single center study |
| topic | Coronary artery calcification Influencing factors Nomogram TyG Prediction |
| url | https://doi.org/10.1186/s40001-025-02887-8 |
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