Literature DB >> 16204745

The Mayo Clinic Risk Score predicts in-hospital mortality following primary angioplasty.

Sridhar Sampath Kumar1, Abdissa Negassa, E Scott Monrad, V S Srinivas.   

Abstract

BACKGROUND: The Mayo Clinic Risk Score (MCRS) is a validated numeric score that predicts outcome following primary percutaneous coronary intervention (PCI).
PURPOSE: We evaluated the ability of MCRS to risk stratify patients undergoing primary angioplasty.
METHODS: Patients undergoing primary angioplasty within 6 hours of the onset of chest pain in the New York State percutaneous coronary intervention reporting system (n = 3,005) had their MCRS calculated using predictive variables: age, presence of cardiogenic shock, renal failure, class III-IV congestive heart failure, left main coronary disease and multivessel coronary disease. All patients were presumed to have intra-coronary thrombus and undergoing an urgent/emergent procedure. Based on the MCRS, patients were classified into five risk categories: very low-risk (MCRS < 5), low risk (6-8), moderate (9-11), high (12-14) and very high risk (15-25).
RESULTS: The mean age of the study population was 62 years, 70% were male; stents were used in 89% and glycoprotein IIb/IIIa antagonists in 72%. The prevalence of cardiogenic shock, multivessel disease and left main disease was higher in patients with MCRS > 12. Overall in-hospital mortality following primary angioplasty was 4.7%; it was 0% in the very low-risk category, 0.9% in the low-risk category, 3.2% in the moderate-risk category, 10.7% in the high-risk category, and 25.1% in the very high-risk category (p < 0.0001). The higher-risk MCRS category predicted increased risk even when 317 (10.5%) patients with cardiogenic shock were excluded from the analysis. The overall c-statistic for the prediction of in-hospital mortality by MCRS was 0.85.
CONCLUSION: Increasing MCRS predicts in-hospital mortality following primary angioplasty.

Entities:  

Mesh:

Year:  2005        PMID: 16204745

Source DB:  PubMed          Journal:  J Invasive Cardiol        ISSN: 1042-3931            Impact factor:   2.022


  3 in total

1.  Tree-structured risk stratification of in-hospital mortality after percutaneous coronary intervention for acute myocardial infarction: a report from the New York State percutaneous coronary intervention database.

Authors:  Abdissa Negassa; E Scott Monrad; Ji Yon Bang; Vankeepuram S Srinivas
Journal:  Am Heart J       Date:  2007-08       Impact factor: 4.749

2.  Prediction of length of stay following elective percutaneous coronary intervention.

Authors:  Abdissa Negassa; E Scott Monrad
Journal:  ISRN Surg       Date:  2011-07-18

3.  Determinants of In-Hospital Mortality After Percutaneous Coronary Intervention: A Machine Learning Approach.

Authors:  Subhi J Al'Aref; Gurpreet Singh; Alexander R van Rosendael; Kranthi K Kolli; Xiaoyue Ma; Gabriel Maliakal; Mohit Pandey; Bejamin C Lee; Jing Wang; Zhuoran Xu; Yiye Zhang; James K Min; S Chiu Wong; Robert M Minutello
Journal:  J Am Heart Assoc       Date:  2019-03-05       Impact factor: 5.501

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.