دورية أكاديمية
Optimized Risk Score to Predict Mortality in Patients With Cardiogenic Shock in the Cardiac Intensive Care Unit.
العنوان: | Optimized Risk Score to Predict Mortality in Patients With Cardiogenic Shock in the Cardiac Intensive Care Unit. |
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المؤلفون: | Yamga E; Department of Medicine Centre Hospitalier de l'Université de Montréal (CHUM) Montreal QC Canada., Mantena S; Harvard Medical School Boston MA USA., Rosen D; Johns Hopkins School of Medicine Baltimore MD USA., Bucholz EM; University of Colorado School of Medicine Aurora CO USA.; Heart Institute, Children's Hospital of Colorado Aurora CO USA., Yeh RW; Harvard Medical School Boston MA USA.; Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Division of Cardiology Beth Israel Deaconess Medical Center Boston MA USA., Celi LA; Harvard Medical School Boston MA USA.; Laboratory for Computational Physiology, MIT Institute for Medical Engineering and Science, Massachusetts Institute of Technology Cambridge MA USA.; Department of Biostatistics, Harvard T.H. Chan School of Public Health Boston MA USA., Ustun B; Halıcıoğlu Data Science Institute University of California San Diego CA USA., Butala NM; University of Colorado School of Medicine Aurora CO USA.; Rocky Mountain Regional VA Medical Center Aurora CO USA. |
المصدر: | Journal of the American Heart Association [J Am Heart Assoc] 2023 Jul 04; Vol. 12 (13), pp. e029232. Date of Electronic Publication: 2023 Jun 22. |
نوع المنشور: | Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, Non-U.S. Gov't |
اللغة: | English |
بيانات الدورية: | Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 101580524 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2047-9980 (Electronic) Linking ISSN: 20479980 NLM ISO Abbreviation: J Am Heart Assoc Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: Oxford : Wiley-Blackwell |
مواضيع طبية MeSH: | Shock, Cardiogenic*/diagnosis , Shock, Cardiogenic*/therapy , Intensive Care Units*, Adult ; Humans ; Middle Aged ; Retrospective Studies ; Risk Factors ; Hospital Mortality |
مستخلص: | Background Mortality prediction in critically ill patients with cardiogenic shock can guide triage and selection of potentially high-risk treatment options. Methods and Results We developed and externally validated a checklist risk score to predict in-hospital mortality among adults admitted to the cardiac intensive care unit with Society for Cardiovascular Angiography & Interventions Shock Stage C or greater cardiogenic shock using 2 real-world data sets and Risk-Calibrated Super-sparse Linear Integer Modeling (RiskSLIM). We compared this model to those developed using conventional penalized logistic regression and published cardiogenic shock and intensive care unit mortality prediction models. There were 8815 patients in our training cohort (in-hospital mortality 13.4%) and 2237 patients in our validation cohort (in-hospital mortality 22.8%), and there were 39 candidate predictor variables. The final risk score (termed BOS,MA |
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معلومات مُعتمدة: | T32 GM007753 United States GM NIGMS NIH HHS; T32 GM144273 United States GM NIGMS NIH HHS; U54 HG012510 United States HG NHGRI NIH HHS |
فهرسة مساهمة: | Keywords: CICU; SCAI shock; cardiogenic shock; machine learning; mortality; risk score |
تواريخ الأحداث: | Date Created: 20230622 Date Completed: 20230706 Latest Revision: 20240312 |
رمز التحديث: | 20240312 |
مُعرف محوري في PubMed: | PMC10356069 |
DOI: | 10.1161/JAHA.122.029232 |
PMID: | 37345819 |
قاعدة البيانات: | MEDLINE |
تدمد: | 2047-9980 |
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DOI: | 10.1161/JAHA.122.029232 |