Thrombolysis in myocardial infarction risk index predicts one-year mortality in patients with heart failure: an analysis of the SELFIE-TR study

التفاصيل البيبلوغرافية
العنوان: Thrombolysis in myocardial infarction risk index predicts one-year mortality in patients with heart failure: an analysis of the SELFIE-TR study
المؤلفون: Ural, Dilek, Guvenc, Tolga Sinan, Guvenc, Rengin Cetin, YILMAZ, MEHMET BİRHAN, ÇAVUŞOĞLU, YÜKSEL
المساهمون: İstinye Üniversitesi, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Guvenc, Tolga Sinan, EZI-1664-2022
بيانات النشر: KARGER, 2022.
سنة النشر: 2022
مصطلحات موضوعية: Heart Failure, Thrombolysis in Myocardial Infarction Risk Index, Mortality
الوصف: Objective: Predicting outcomes is an essential part of evaluation in patients with heart failure (HF). While there are multiple individual laboratory and imaging variables, as well as risk scores available for this purpose, they are seldom useful during the initial evaluation. In this analysis, we aimed to understand predictive usefulness of Thrombosis in Myocardial Infarction Risk Index (TIMI-RI), a simple index that is calculated at bedside using three commonly available variables, using data from a multicenter HF registry. Subjects and Methods: A total of 728 patients from 23 centers were included to this analysis. Data on hospitalizations and mortality were collected by direct interviews, phone calls and electronic databases. TIMI-RI was calculated as defined before. Patients were divided into three equal tertiles to perform analyses. Results: Rehospitalization for HF was significantly higher in patients within the 3rd tertile, and 33.5% of patients within the 3rd tertile were dead within one-year follow up as compared to 14.5% of patients within the 1st tertile and 15.6% patients within the 2nd tertile (p
وصف الملف: application/pdf
اللغة: English
تدمد: 0008-6215
URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5531e1d8124efd682fcde9ed2a598cf5
https://hdl.handle.net/20.500.12713/3323
Rights: OPEN
رقم الانضمام: edsair.dedup.wf.001..5531e1d8124efd682fcde9ed2a598cf5
قاعدة البيانات: OpenAIRE