Literature DB >> 34366138

Predicting 1-Year Mortality on Admission Using the Mayo Cardiac Intensive Care Unit Admission Risk Score.

Thomas J Breen1, Mitchell Padkins1, Courtney E Bennett2, Nandan S Anavekar3, Joseph G Murphy3, Malcolm R Bell3, Gregory W Barsness3, Jacob C Jentzer4.   

Abstract

OBJECTIVE: To determine whether the Mayo Cardiac Intensive Care Unit (CICU) Admission Risk Score (M-CARS) accurately predicts 1-year mortality.
METHODS: We retrospectively reviewed adult CICU patients admitted from January 1, 2007, through April 30, 2018, and calculated M-CARS using admission data. We examined the association between admission M-CARS, as continuous and categorical variables, and 1-year mortality.
RESULTS: This study included 12,428 unique patients with a mean age of 67.6±15.2 years (4686 [37.7%] female). A total of 2839 patients (22.8%) died within 1 year of admission, including 1149 (9.2%) hospital deaths and 1690 (15.0%) of the 11,279 hospital survivors. The 1-year survival decreased incrementally as a function of increasing M-CARS (P<.001), and all components of M-CARS were significant predictors of 1-year mortality (P<.001). The 1-year survival among hospital survivors decreased incrementally as a function of increasing M-CARS for scores below 3 (all P<.001); however, there was no further decrease in 1-year survival for hospital survivors with M-CARS of 3 or more (P=.99). The M-CARS components associated with 1-year mortality among hospital survivors included blood urea nitrogen, red blood cell distribution width, Braden skin score, and respiratory failure (all P<.001).
CONCLUSION: M-CARS predicted 1-year mortality among CICU admissions, with a plateau effect at high M-CARS of 3 or more for hospital survivors. Significant added predictors of 1-year mortality among hospital survivors included markers of frailty and chronic illness.
Copyright © 2021 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2021        PMID: 34366138     DOI: 10.1016/j.mayocp.2021.01.031

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  3 in total

Review 1.  Mortality Prediction in Cardiac Intensive Care Unit Patients: A Systematic Review of Existing and Artificial Intelligence Augmented Approaches.

Authors:  Nikita Rafie; Jacob C Jentzer; Peter A Noseworthy; Anthony H Kashou
Journal:  Front Artif Intell       Date:  2022-05-31

2.  The Association Between High CHA2DS2-VASc Scores and Short and Long-Term Mortality for Coronary Care Unit Patients.

Authors:  Long Cheng; Sheng Kang; Li Lin; Hairong Wang
Journal:  Clin Appl Thromb Hemost       Date:  2022 Jan-Dec       Impact factor: 3.512

3.  D-Dimer as a Prognostic Factor in a Tertiary Center Intensive Coronary Care Unit.

Authors:  Moshe Rav Acha; Louay Taha; Anna Turyan; Rivka Farkash; Feras Bayya; Mohammad Karmi; Yoed Steinmetz; Fauzi Fadi Shaheen; Nimrod Perel; Kamal Hamayel; Nir Levi; Hani Karameh; Ariella Tvito; Michael Glikson; Elad Asher
Journal:  Clin Appl Thromb Hemost       Date:  2022 Jan-Dec       Impact factor: 3.512

  3 in total

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