Novel CHA2DS2-VASc-HSF is Superior to CHADS2 and CHA2DS2-VASc Score to Predict the Risk of Severe Coronary Artery Disease
BACKGROUND: Various risk scoring methods are available to predict the severity of coronary artery disease (CAD). However, the majority of them are complex and require advanced technologies, thus limiting its usage in primary care settings. CHA2DS2-VASc-HSF is a novel risk scoring which we develop fr...
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Open Access Macedonian Journal of Medical Sciences
2020
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Online Access: | https://repository.unair.ac.id/112954/1/Novel%20CHA2DS2.pdf https://repository.unair.ac.id/112954/2/Novel%20CHA2DS2.pdf https://repository.unair.ac.id/112954/3/Novel%20CHA2DS2-VASc-HSF%20is%20Superiorto%20CHADS%20and%20CHA2DS%20-VASc%20Score%20to%20Predict%20the%20Risk%20of%20Severe%20Coronary%20Artery%20Disease.pdf https://repository.unair.ac.id/112954/4/NovelCHA2DS2-VASc-HSF%20is.pdf https://repository.unair.ac.id/112954/ https://oamjms.eu/index.php/mjms/article/view/3393 https://doi.org/10.3889/oamjms.2020.3393 |
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id-langga.1129542021-12-28T08:07:01Z https://repository.unair.ac.id/112954/ Novel CHA2DS2-VASc-HSF is Superior to CHADS2 and CHA2DS2-VASc Score to Predict the Risk of Severe Coronary Artery Disease Andrianto, - Benny Jovie, - Makhyan Jibril Al-Farabi, - Parama Gandi, - Khubay Alvia Shonafi, - Rofida Lathifah, - R Medicine (General) RC666-701 Diseases of the circulatory (Cardiovascular) system BACKGROUND: Various risk scoring methods are available to predict the severity of coronary artery disease (CAD). However, the majority of them are complex and require advanced technologies, thus limiting its usage in primary care settings. CHA2DS2-VASc-HSF is a novel risk scoring which we develop from CHA2DS2-VASc score. AIM: We hypothesize that CHA2DS2-VASc-HSF is predictive for the risk of severe CAD, and we compare its validity with previously established CHADS2 and CHA2DS2-VASc score. MATERIALS AND METHODS: A total of 210 patients who underwent elective coronary angiography were enrolled in our study. Anthropometric, laboratory, angiographic findings, and patient history were obtained from medical records and used to calculate CHA2DS2-VASc-HSF score. Severe CAD defined as coronary artery occlusion with the Gensini score of ≥20. Statistical analyses were done using SPSS 25.0 and MedCalc 18.2.1. RESULTS: This research showed that the patient with severe CAD has significantly higher CHADS2, CHA2DS2-VASc, and CHA2DS2-VASc-HSF score compared to normal and mild CAD (p < 0.001). CHADS2, CHA2DS2-VASc, and CHA2DS2-VASc-HSF correlated significantly with the CAD severity (r = 0.315, p ≤ 0.001; r = 0.395, p ≤ 0.001; r = 0.612, p ≤ 0.001, respectively). CHA2DS2-VASc-HSF may predict the risk of severe CAD independent from other variables (odds ratio = 2.540; 95% confidence interval = 1.794–3.595; p = 0.002) with the cutoff value of ≥2.5 (sensitivity = 81.4% and specificity = 68.1%). Pairwise comparison of receiver operating characteristic curves showed that CHA2DS2-VASc-HSF was superior to predict severe CAD. CONCLUSIONS: CHA2DS2-VASc-HSF scores may predict the risk of severe CAD better than CHADS2 and CHA2DS2-VASc score. This score may easily be used in primary care physicians to predict the risk of severe CAD and provide an early referral to the cardiologist. Open Access Macedonian Journal of Medical Sciences 2020 Article PeerReviewed text en https://repository.unair.ac.id/112954/1/Novel%20CHA2DS2.pdf text en https://repository.unair.ac.id/112954/2/Novel%20CHA2DS2.pdf text en https://repository.unair.ac.id/112954/3/Novel%20CHA2DS2-VASc-HSF%20is%20Superiorto%20CHADS%20and%20CHA2DS%20-VASc%20Score%20to%20Predict%20the%20Risk%20of%20Severe%20Coronary%20Artery%20Disease.pdf text en https://repository.unair.ac.id/112954/4/NovelCHA2DS2-VASc-HSF%20is.pdf Andrianto, - and Benny Jovie, - and Makhyan Jibril Al-Farabi, - and Parama Gandi, - and Khubay Alvia Shonafi, - and Rofida Lathifah, - (2020) Novel CHA2DS2-VASc-HSF is Superior to CHADS2 and CHA2DS2-VASc Score to Predict the Risk of Severe Coronary Artery Disease. Open Access Macedonia Journal of Medical Sciences, 8 (B). pp. 451-456. ISSN 1857-9655 https://oamjms.eu/index.php/mjms/article/view/3393 https://doi.org/10.3889/oamjms.2020.3393 |
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R Medicine (General) RC666-701 Diseases of the circulatory (Cardiovascular) system Andrianto, - Benny Jovie, - Makhyan Jibril Al-Farabi, - Parama Gandi, - Khubay Alvia Shonafi, - Rofida Lathifah, - Novel CHA2DS2-VASc-HSF is Superior to CHADS2 and CHA2DS2-VASc Score to Predict the Risk of Severe Coronary Artery Disease |
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BACKGROUND: Various risk scoring methods are available to predict the severity of coronary artery disease (CAD). However, the majority of them are complex and require advanced technologies, thus limiting its usage in primary care settings. CHA2DS2-VASc-HSF is a novel risk scoring which we develop from CHA2DS2-VASc score. AIM: We hypothesize that CHA2DS2-VASc-HSF is predictive for the risk of severe CAD, and we compare its validity with previously established CHADS2 and CHA2DS2-VASc score. MATERIALS AND METHODS: A total of 210 patients who underwent elective coronary angiography were enrolled in our study. Anthropometric, laboratory, angiographic findings, and patient history were obtained from medical records and used to calculate CHA2DS2-VASc-HSF score. Severe CAD defined as coronary artery occlusion with the Gensini score of ≥20. Statistical analyses were done using SPSS 25.0 and MedCalc 18.2.1. RESULTS: This research showed that the patient with severe CAD has significantly higher CHADS2, CHA2DS2-VASc, and CHA2DS2-VASc-HSF score compared to normal and mild CAD (p < 0.001). CHADS2, CHA2DS2-VASc, and CHA2DS2-VASc-HSF correlated significantly with the CAD severity (r = 0.315, p ≤ 0.001; r = 0.395, p ≤ 0.001; r = 0.612, p ≤ 0.001, respectively). CHA2DS2-VASc-HSF may predict the risk of severe CAD independent from other variables (odds ratio = 2.540; 95% confidence interval = 1.794–3.595; p = 0.002) with the cutoff value of ≥2.5 (sensitivity = 81.4% and specificity = 68.1%). Pairwise comparison of receiver operating characteristic curves showed that CHA2DS2-VASc-HSF was superior to predict severe CAD. CONCLUSIONS: CHA2DS2-VASc-HSF scores may predict the risk of severe CAD better than CHADS2 and CHA2DS2-VASc score. This score may easily be used in primary care physicians to predict the risk of severe CAD and provide an early referral to the cardiologist. |
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Article PeerReviewed |
author |
Andrianto, - Benny Jovie, - Makhyan Jibril Al-Farabi, - Parama Gandi, - Khubay Alvia Shonafi, - Rofida Lathifah, - |
author_facet |
Andrianto, - Benny Jovie, - Makhyan Jibril Al-Farabi, - Parama Gandi, - Khubay Alvia Shonafi, - Rofida Lathifah, - |
author_sort |
Andrianto, - |
title |
Novel CHA2DS2-VASc-HSF is Superior to CHADS2 and CHA2DS2-VASc Score to Predict the Risk of Severe Coronary Artery Disease |
title_short |
Novel CHA2DS2-VASc-HSF is Superior to CHADS2 and CHA2DS2-VASc Score to Predict the Risk of Severe Coronary Artery Disease |
title_full |
Novel CHA2DS2-VASc-HSF is Superior to CHADS2 and CHA2DS2-VASc Score to Predict the Risk of Severe Coronary Artery Disease |
title_fullStr |
Novel CHA2DS2-VASc-HSF is Superior to CHADS2 and CHA2DS2-VASc Score to Predict the Risk of Severe Coronary Artery Disease |
title_full_unstemmed |
Novel CHA2DS2-VASc-HSF is Superior to CHADS2 and CHA2DS2-VASc Score to Predict the Risk of Severe Coronary Artery Disease |
title_sort |
novel cha2ds2-vasc-hsf is superior to chads2 and cha2ds2-vasc score to predict the risk of severe coronary artery disease |
publisher |
Open Access Macedonian Journal of Medical Sciences |
publishDate |
2020 |
url |
https://repository.unair.ac.id/112954/1/Novel%20CHA2DS2.pdf https://repository.unair.ac.id/112954/2/Novel%20CHA2DS2.pdf https://repository.unair.ac.id/112954/3/Novel%20CHA2DS2-VASc-HSF%20is%20Superiorto%20CHADS%20and%20CHA2DS%20-VASc%20Score%20to%20Predict%20the%20Risk%20of%20Severe%20Coronary%20Artery%20Disease.pdf https://repository.unair.ac.id/112954/4/NovelCHA2DS2-VASc-HSF%20is.pdf https://repository.unair.ac.id/112954/ https://oamjms.eu/index.php/mjms/article/view/3393 https://doi.org/10.3889/oamjms.2020.3393 |
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1720462140380282880 |