ArticleThe American journal of cardiology2016
Performance of the GRACE Risk Score 2.0 Simplified Algorithm for Predicting 1-Year Death After Hospitalization for an Acute Coronary Syndrome in a Contemporary Multiracial Cohort.
Article in The American journal of cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 55 citations in OpenAlex.
- A contrast-enhanced CMR-based risk score integrating microvascular obstruction and intramyocardial hemorrhage extent for prognostic evaluation.Insights into imaging · 2026Article
- Non-ST-Elevation Myocardial Infarction: A Heterogeneous Syndrome with Evolving Management-A Narrative Review.Biomedicines · 2026Review
- Machine learning redevelopment of GRACE, ACEF, and TIMI scores for 6-month mortality.Frontiers in artificial intelligence · 2026Article
- Article
- Association between the age-to-serum albumin ratio and all-cause mortality in patients with acute myocardial infarction: a retrospective cohort study.Frontiers in cardiovascular medicine · 2025Article
- Diagnostic and prognostic role of serum interleukin-6 and carotid ultrasonography to detect subclinical atherosclerosis in patients with RA and ANCA-associated vasculitis.Rheumatology international · 2024Article
- Risk Prediction Models for Ischemic Cardiovascular Outcomes in Patients with Acute Coronary Syndrome.Reviews in cardiovascular medicine · 2023Review
- A Machine Learning-Based Applied Prediction Model for Identification of Acute Coronary Syndrome (ACS) Outcomes and Mortality in Patients during the Hospital Stay.Sensors (Basel, Switzerland) · 2023Article
- External validation of the GRACE risk score and the risk-treatment paradox in patients with acute coronary syndrome.Open heart · 2022Article
- Diagnostic Model of In-Hospital Mortality in Patients with Acute ST-Segment Elevation Myocardial Infarction Used Artificial Intelligence Methods.Cardiology research and practice · 2022Article
- Contemporary Review of Risk Scores in Prediction of Coronary and Cardiovascular Deaths.Current cardiology reports · 2022Review
- Association of Prolonged Emergency Department Length of Stay with Adverse Events in Patients with Non-ST-Elevation Acute Coronary Syndrome.Open access emergency medicine : OAEM · 2022Article
- Article
- Risk Prediction of Cardiovascular Events by Exploration of Molecular Data with Explainable Artificial Intelligence.International journal of molecular sciences · 2021Review
- Article
- Clinical impact of estimated plasma volume status and its additive effect with the GRACE risk score on in-hospital and long-term mortality for acute myocardial infarction.International journal of cardiology. Heart & vasculature · 2021Article
- Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention.Journal of thoracic disease · 2020Review
- Defining and managing patients with non-ST-elevation myocardial infarction: Sorting through type 1 vs other types.Clinical cardiology · 2020Review
- Machine learning for predicting cardiac events: what does the future hold?Expert review of cardiovascular therapy · 2020Review
- Long-Term Clinical Outcomes for Non-ST Elevation Acute Coronary Syndrome Patients with High-Risk Angiographic Findings Undergoing Percutaneous Coronary Intervention.Journal of interventional cardiology · 2020Article
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Authors and funding
14 authors at 4 institutions in 2 countries.
Funding
Abstract
The GRACE Risk Score is a well-validated tool for estimating short- and long-term risk in acute coronary syndrome (ACS). GRACE Risk Score 2.0 substitutes several variables that may be unavailable to clinicians and, thus, limit use of the GRACE Risk Score. GRACE Risk Score 2.0 performed well in the original GRACE cohort. We sought to validate its performance in a contemporary multiracial ACS cohort, in particular in black patients with ACS. We evaluated the performance of the GRACE Risk Score 2.0 simplified algorithm for predicting 1-year mortality in 2,131 participants in Transitions, Risks, and Actions in Coronary Events Center for Outcomes Research and Education (TRACE-CORE), a multiracial cohort of patients discharged alive after an ACS in 2011 to 2013 from 6 hospitals in Massachusetts and Georgia. The median age of study participants was 61 years, 67% were men, and 16% were black. Half (51%) of the patients experienced a non-ST-segment elevation myocardial infarction (NSTEMI) and 18% STEMI. Eighty patients (3.8%) died within 12 months of discharge. The GRACE Risk Score 2.0 simplified algorithm demonstrated excellent model discrimination for predicting 1-year mortality after hospital discharge in the TRACE-CORE cohort (c-index = 0.77). The c-index was 0.94 in patients with STEMI, 0.78 in those with NSTEMI, and 0.87 in black patients with ACS. In conclusion, the GRACE Risk Score 2.0 simplified algorithm for predicting 1-year mortality exhibited excellent model discrimination across the spectrum of ACS types and racial/ethnic subgroups and, thus, may be a helpful tool to guide routine clinical care for patients with ACS.
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