Prediction of obstructive coronary artery disease in patients undergoing heart valve surgery: A cross-sectional study in a tertiary care hospital
Introduction: Estimating the probability of obstructive coronary artery disease in patients undergoing noncoronary cardiac surgery should be considered compulsory. Our study sought to evaluate the prevalence of obstructive coronary artery disease in patients undergoing valvular heart surgery and to...
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| Format: | Article |
| Language: | English |
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Tabriz University of Medical Sciences
2023-03-01
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| Series: | Journal of Cardiovascular and Thoracic Research |
| Subjects: | |
| Online Access: | https://jcvtr.tbzmed.ac.ir/PDF/jcvtr-15-57.pdf |
| _version_ | 1797805536762134528 |
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| author | Sy Van Hoang Hai Phuong Nguyen Tran Kha Minh Nguyen Phong Thanh Tran Khoa Le Anh Huynh Nghia Thuong Nguyen |
| author_facet | Sy Van Hoang Hai Phuong Nguyen Tran Kha Minh Nguyen Phong Thanh Tran Khoa Le Anh Huynh Nghia Thuong Nguyen |
| author_sort | Sy Van Hoang |
| collection | DOAJ |
| description | Introduction: Estimating the probability of obstructive coronary artery disease in patients undergoing noncoronary cardiac surgery should be considered compulsory. Our study sought to evaluate the prevalence of obstructive coronary artery disease in patients undergoing valvular heart surgery and to utilize predictive methodology of concomitant obstructive coronary artery disease in these patients. Methods: The retrospective study cohort was derived from a tertiary care hospital registry of patients undergoing coronary angiogram prior to valvular heart operations. Decision tree, logistic regression, and support vector machine models were built to predict the probability of the appearance of obstructive coronary artery disease. A total of 367 patients from 2016 to 2019 were analyzed. Results: The mean age of the study population was 57.3±9.3 years, 45.2% of the patients were male. Of 367 patients, 76 (21%) patients had obstructive coronary artery disease. The decision tree, logistics regression, and support vector machine models had an area under the curve of 72% (95% CI: 62% - 81%), 67% (95% CI: 56% - 77%), and 78% (95% CI: 68% - 87%), respectively. Multivariate analysis indicated that hypertension (OR 1.98; P=0.032), diabetes (OR 2.32; P=0.040), age (OR 1.05; P=0.006), and typical angina (OR 5.46; P<0.001) had significant role in predicting the presence of obstructive coronary artery disease. Conclusion: Our study revealed that approximately one-fifth of patients who underwent valvular heart surgery had concomitant obstructive coronary artery disease. The support vector machine model showed the highest accuracy compared to the other model. |
| first_indexed | 2024-03-13T05:52:33Z |
| format | Article |
| id | doaj.art-17535131f40a4eb1870e6b9b0581a892 |
| institution | Directory Open Access Journal |
| issn | 2008-5117 2008-6830 |
| language | English |
| last_indexed | 2024-03-13T05:52:33Z |
| publishDate | 2023-03-01 |
| publisher | Tabriz University of Medical Sciences |
| record_format | Article |
| series | Journal of Cardiovascular and Thoracic Research |
| spelling | doaj.art-17535131f40a4eb1870e6b9b0581a8922023-06-13T08:31:46ZengTabriz University of Medical SciencesJournal of Cardiovascular and Thoracic Research2008-51172008-68302023-03-01151576410.34172/jcvtr.2023.30557jcvtr-30557Prediction of obstructive coronary artery disease in patients undergoing heart valve surgery: A cross-sectional study in a tertiary care hospitalSy Van Hoang0Hai Phuong Nguyen Tran1Kha Minh Nguyen2Phong Thanh Tran3Khoa Le Anh Huynh4Nghia Thuong Nguyen5Department of Internal Medicine, Faculty of Medicine, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City 700000, VietnamDepartment of Cardiology Intervention, Cho Ray Hospital, Ho Chi Minh City 700000, VietnamDepartment of Internal Medicine, Faculty of Medicine, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City 700000, VietnamDepartment of Cardiology, Can Tho Central General Hospital, Can Tho City 900000, VietnamDepartment of Biostatistics, Virginia Commonwealth University School of Medicine, Virginia, USADepartment of Cardiology Intervention, Cho Ray Hospital, Ho Chi Minh City 700000, VietnamIntroduction: Estimating the probability of obstructive coronary artery disease in patients undergoing noncoronary cardiac surgery should be considered compulsory. Our study sought to evaluate the prevalence of obstructive coronary artery disease in patients undergoing valvular heart surgery and to utilize predictive methodology of concomitant obstructive coronary artery disease in these patients. Methods: The retrospective study cohort was derived from a tertiary care hospital registry of patients undergoing coronary angiogram prior to valvular heart operations. Decision tree, logistic regression, and support vector machine models were built to predict the probability of the appearance of obstructive coronary artery disease. A total of 367 patients from 2016 to 2019 were analyzed. Results: The mean age of the study population was 57.3±9.3 years, 45.2% of the patients were male. Of 367 patients, 76 (21%) patients had obstructive coronary artery disease. The decision tree, logistics regression, and support vector machine models had an area under the curve of 72% (95% CI: 62% - 81%), 67% (95% CI: 56% - 77%), and 78% (95% CI: 68% - 87%), respectively. Multivariate analysis indicated that hypertension (OR 1.98; P=0.032), diabetes (OR 2.32; P=0.040), age (OR 1.05; P=0.006), and typical angina (OR 5.46; P<0.001) had significant role in predicting the presence of obstructive coronary artery disease. Conclusion: Our study revealed that approximately one-fifth of patients who underwent valvular heart surgery had concomitant obstructive coronary artery disease. The support vector machine model showed the highest accuracy compared to the other model.https://jcvtr.tbzmed.ac.ir/PDF/jcvtr-15-57.pdfobstructive coronary artery diseasevalvular heart surgerysupport vector machinelogistic regressiondecision tree |
| spellingShingle | Sy Van Hoang Hai Phuong Nguyen Tran Kha Minh Nguyen Phong Thanh Tran Khoa Le Anh Huynh Nghia Thuong Nguyen Prediction of obstructive coronary artery disease in patients undergoing heart valve surgery: A cross-sectional study in a tertiary care hospital Journal of Cardiovascular and Thoracic Research obstructive coronary artery disease valvular heart surgery support vector machine logistic regression decision tree |
| title | Prediction of obstructive coronary artery disease in patients undergoing heart valve surgery: A cross-sectional study in a tertiary care hospital |
| title_full | Prediction of obstructive coronary artery disease in patients undergoing heart valve surgery: A cross-sectional study in a tertiary care hospital |
| title_fullStr | Prediction of obstructive coronary artery disease in patients undergoing heart valve surgery: A cross-sectional study in a tertiary care hospital |
| title_full_unstemmed | Prediction of obstructive coronary artery disease in patients undergoing heart valve surgery: A cross-sectional study in a tertiary care hospital |
| title_short | Prediction of obstructive coronary artery disease in patients undergoing heart valve surgery: A cross-sectional study in a tertiary care hospital |
| title_sort | prediction of obstructive coronary artery disease in patients undergoing heart valve surgery a cross sectional study in a tertiary care hospital |
| topic | obstructive coronary artery disease valvular heart surgery support vector machine logistic regression decision tree |
| url | https://jcvtr.tbzmed.ac.ir/PDF/jcvtr-15-57.pdf |
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