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Published on: September 22, 2023
CHADS2, CHA2DS2-VASc and R2CHADS2 scores predict mortality in patients with coronary artery disease
Fang-Yang Huang1, Bao-Tao Huang1, Xiao-Bo Pu1
1Department of Cardiology, West China Hospital, Sichuan University, 37 Guoxue Street, Chengdu, 610041, Sichuan, China.
Insights
The CHA2DS2-VASc and R2CHADS2 scores offer superior prediction of mortality in coronary artery disease (CAD) patients compared to the CHADS2 score. These validated risk scores improve risk classification and aid in patient management.
Area of Science:
- Cardiology
- Clinical Risk Stratification
- Outcome Prediction
Background:
- Coronary artery disease (CAD) patients require accurate prognostic tools.
- Existing risk scores like CHADS2 may not fully capture mortality risk in CAD.
- The predictive performance of CHA2DS2-VASc and R2CHADS2 in CAD needs further investigation.
Purpose of the Study:
- To evaluate and compare the prognostic performance of CHADS2, CHA2DS2-VASc, and R2CHADS2 scores in patients with angiographically obstructive coronary artery disease (CAD).
- To assess the ability of these scores to predict all-cause and cardiovascular death.
Main Methods:
- Prospective enrollment of 3295 patients with obstructive CAD.
- Evaluation of risk score performance using Cox hazards models.
- Comparison of predictive values via C statistics, net reclassification improvement (NRI), and integrated discrimination improvement (IDI).
Main Results:
- CHA2DS2-VASc and R2CHADS2 scores demonstrated significantly better discrimination and reclassification for mortality compared to the CHADS2 score.
- Event rates for death and cardiovascular death increased with higher scores across all three systems (P < 0.001).
- CHA2DS2-VASc and R2CHADS2 showed comparable predictive ability to the GRACE score.
Conclusions:
- CHA2DS2-VASc and R2CHADS2 are robust prognostic tools for predicting mortality in CAD patients.
- These scores offer improved risk stratification over the traditional CHADS2 score.
- Their use can aid clinicians in managing CAD patients more effectively.
Abstract:
Few studies to date address the predictive ability of CHA2DS2-VASc and R2CHADS2 in CAD patients. Our aim is to investigate the prognostic performance of CHADS2, CHA2DS2-VASc and R2CHADS2 scores in patients with coronary artery disease (CAD). Angiographically obstructive CAD patients were enrolled. The prognostic performance of the three risk scores was evaluated using Cox hazards models. In addition, we compared their predictive values by calculating C statistics, net reclassification improvement (NRI) and integrated discrimination improvement (IDI). The endpoints are death from any cause and cardiovascular death. Of 3295 subjects with CAD, the mean CHADS2, CHA2DS2-VASc and R2CHADS2 scores are 1.2 ± 1.0, 2.4 ± 1.4, and 1.6 ± 1.4, respectively. The CHADS2-guided risk classification is markedly distinct from CHA2DS-2-VASc- and R2CHADS2-guided ones. Over a median follow-up of 24 months, a total of 290 (rate 4.00/100 person-year) deaths occurred, and 163 (rate 2.2/100 person-year) were attributed to cardiovascular deaths. Event rates increase by CHADS2, CHA2DS2-VASc and R2CHADS2 (P for trend <0.001). The multivariate analyses show 60, 111 and 82% higher risk of mortality per unit increase of CHADS2, CHA2DS2-VASc and R2CHADS2 scores, respectively. Comparing with CHADS2 score (c-statistic = 0.61), CHA2DS2-VASc (c-statistic 0.65, NRI 0.52 and IDI 0.06, P for all <0.05) and R2CHADS2 (c-statistic 0.66, NRI 0.43 and IDI 0.09, P for all <0.05) scores provide better discrimination and reclassification for mortality. Also, CHA2DS2-VASc and R2CHADS2 have comparable predictive ability of mortality to the GRACE score. The CHADS2, CHA2DS2-VASc and R2CHADS2 scores are simple yet robust prognostic tools in CAD patients.
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