Abstract
Objectives To validate the Global Registry of Acute Coronary Events (GRACE) risk score and examine the extent and impact of the risk-treatment paradox in contemporary patients with acute coronary syndrome (ACS). Methods Data from 5015 patients with ACS enrolled in the FORCE-ACS registry between January 2015 and December 2019 were used for model validation. The performance of the GRACE risk score for predicting in-hospital and 1-year mortality was evaluated based on indices of model discrimination and calibration. Differences in the delivery of guideline-recommended care among patients who survived hospitalisation (n=4911) per GRACE risk stratum were assessed and the association with postdischarge mortality was examined. Results Discriminative power of the GRACE risk score was good for predicting in-hospital (c-statistic: 0.86; 95% CI: 0.83 to 0.90) and 1-year mortality (c-statistic: 0.82; 95% CI: 0.79 to 0.84). However, the GRACE risk score overestimated the absolute in-hospital and 1-year mortality risk (Hosmer-Lemeshow goodness-of-fit test p<0.01). Intermediate-risk and high-risk patients were 12% and 29% less likely to receive optimal guideline-recommended care compared with low-risk patients, respectively. Optimal guideline-recommended care was associated with lower mortality in intermediate- and high-risk patients. Conclusions The GRACE risk score identified patients at higher risk for in-hospital and 1-year mortality, but overestimated absolute risk levels in contemporary patients. Optimal guideline-recommended care was associated with lower mortality in intermediate-risk and high-risk patients, but was less likely to be delivered with increasing mortality risk.
| Original language | English |
|---|---|
| Article number | e001984 |
| Number of pages | 11 |
| Journal | Open Heart |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Mar 2022 |
Keywords
- Acute Coronary Syndrome/diagnosis
- Aftercare
- Humans
- Patient Discharge
- Registries
- Risk Assessment
- Risk Factors
- MORTALITY
- MANAGEMENT
- PERFORMANCE
- ADHERENCE
- PREDICTION
- ESC
- OUTCOMES
- ST-SEGMENT ELEVATION
- ELEVATION MYOCARDIAL-INFARCTION
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