Prediction of acute-coronary-syndrome using newly-defined R2-CHA2DS2-VASc score among patients with chest pain
| Autor: | Shilo Lotan, Sydney Benchetrit, Guy Topaz, Tali Zitman-Gal, Keren Cohen-Hagai, Yona Kitay-Cohen, David Pereg, Elad Ben-Zvi |
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| Rok vydání: | 2021 |
| Předmět: |
Acute coronary syndrome
medicine.medical_specialty business.industry Adverse outcomes Medical record Renal function 030204 cardiovascular system & hematology medicine.disease Chest pain 03 medical and health sciences 0302 clinical medicine Internal medicine Risk stratification CHA2DS2–VASc score medicine Clinical endpoint Cardiology 030212 general & internal medicine medicine.symptom Cardiology and Cardiovascular Medicine business |
| Zdroj: | Journal of Cardiology. 77:370-374 |
| ISSN: | 0914-5087 |
| Popis: | Background Chest-pain patients with no evidence of acute coronary syndrome might still be at risk for adverse outcomes. Adding renal function to the classic scoring of CHADS and CHA2DS2 VASC may improve risk stratification of chest-pain patients discharged from internal medicine wards after acute coronary syndrome (ACS) rule-out. Methods We accessed medical records of patients admitted to internal medicine wards during 2010–2016 and discharged following ACS rule-out. A R2CHA2DS2-VASc score model that included higher scores as kidney function deteriorated was calculated and compared to CHADS and CHA2DS2 VASC scores. The primary endpoint was the composite of 30-day ACS and mortality. One-year ACS and 1-year mortality were the secondary endpoints. The study included 12,449 patients, stratified into three risk groups according to their R2CHA2DS2-VASc score. Results Participants were stratified into 3 groups according to R2CHA2DS2-VASc score. R2CHA2DS2-VASc score predicted better the composite outcome of ACS and 30-day and 1-year mortality after discharge (OR: 4, 95%, CI 2.3–7, p Conclusions The R2CHA2DS2-VASc score is a better predictor of short- and long-term cardiovascular morbidity and mortality after hospital discharge. |
| Databáze: | OpenAIRE |
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