Clinical risk prediction models for the prognosis and management of acute coronary syndromes
| Autor: | David Brieger, Keith A.A. Fox, Andrew T. Yan, Shaun G. Goodman, Hourmazd Haghbayan, Chris P Gale, Derek P. Chew |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Acute coronary syndrome Population 030204 cardiovascular system & hematology Coronary Angiography Risk Assessment 03 medical and health sciences 0302 clinical medicine Risk Factors medicine Humans 030212 general & internal medicine Acute Coronary Syndrome Intensive care medicine education education.field_of_study Framingham Risk Score business.industry Health Policy Prognosis medicine.disease Patient management Invasive coronary angiography Clinical Practice Cardiology and Cardiovascular Medicine business Clinical risk factor Predictive modelling |
| Zdroj: | European Heart Journal - Quality of Care and Clinical Outcomes. 7:222-228 |
| ISSN: | 2058-1742 2058-5225 |
| DOI: | 10.1093/ehjqcco/qcab018 |
| Popis: | Patients with acute coronary syndromes (ACS), particularly non-ST-segment elevation ACS, represent a spectrum of patients at variable risk of short- and long-term adverse clinical outcomes. Accurate prognostic assessment in this population requires the simultaneous consideration of multiple clinical and laboratory variables which may be under-recognized by the treating physicians, leading to an observed risk-treatment paradox in the use of invasive and pharmacological therapies. The routine application of established clinical risk scores, such as the Global Registry of Acute Coronary Events risk score, is recommended by major international clinical practice guidelines for structured risk stratification at the time of presentation, but uptake remains inconsistent. This article discusses the methodology of designing, deriving, and validating clinical risk scores, reviews the major validated risk scores for assessing prognosis in ACS, and examines their role in guiding clinical decision-making in ACS management, especially the timing of invasive coronary angiography. We also discuss emerging data on the impact of the routine use of such risk scores on patient management and clinical outcomes, as well as future directions for investigation in this field. |
| Databáze: | OpenAIRE |
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