11/10/2023 0 Comments Grace timi score calculator![]() The study endpoint was all-cause mortality and a composite endpoint of death, myocardial (re-)infarction, or stroke. 1, 2Īll of the included patients were followed up for at least 3 years or until the occurrence of a major event. Information regarding the long-term prognostic value of RSs may remind patients and physicians of the importance of adherence to secondary prevention measures as recommended by guidelines. The aims of this study were to compare the performance of TIMI and GRACE RSs in the risk stratification of Chinese patients with myocardial infarction (MI), and to examine whether these RSs, when calculated on admission, could be used to predict long-term (up to 3 years) outcomes. Furthermore, current knowledge about whether the application of these RSs can indeed predict long-term outcomes is inadequate. Although these RSs have been externally validated in Western countries, their com-parative performance in Asian populations has not been studied in detail. In addition, they were developed initially to predict short-term prognoses. These two RSs, however, were developed by enrolling patients mostly from countries in North America, South America and Europe, with only Australia and New Zealand providing data from Asian countries to the GRACE registry. This scoreis derived from a more representative community-based registry. The second most commonly used score is the Global Registry of Acute Coronary Events (GRACE) risk model, 5 which uses eight variables and is applicable to the entire spectrum of ACS. For non-ST-segment elevation myocardial infarction (NSTEMI), the TIMI score is based on seven clinical indicators with scores ranging from 0 to 7. For ST-segment elevation myocardial infarction (STEMI), the TIMI score is based on eight clinical indicators available on admission with scores ranging from 0 to 14. The most widely used RS is the thrombolysis in myocardial infarction (TIMI) algorithm, 3, 4 which is simple to calculate and is derived from selected clinical-trial cohorts. Furthermore, stratification of the risk of ACS using tools such as risk scores (RSs) is recommended by practice guidelines. 1 Identifying high-risk patients, and hence selecting those who would benefit from more aggressive treatment, is essential for the management of ACS. Despite advances in treatment, acute coronary syndrome (ACS) is still associated with significant mortality.
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