Risk-Adjusting Key Outcome Measures in a Clinical Quality PCI Registry: Development of a Highly Predictive Model Without the Need to Exclude High-Risk Conditions

Risk-Adjusting Key Outcome Measures in a Clinical Quality PCI Registry: Development of a Highly Predictive Model Without the Need to Exclude High-Risk Conditions

Objectives: This study sought to determine the most risk-adjustment model for 30-day all-cause mortality in order to report risk-adjusted outcomes. The study also explored whether the exclusion of extreme high-risk conditions of cardiogenic shock, intubated out-of-hospital cardiac arrest (OHCA), or...

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Bibliographic Details
Main Authors: Tacey, M., Dinh, D.T., Andrianopoulos, N., Brennan, A.L., Stub, D., Liew, D., Reid, Christopher, Duffy, S.J., Lefkovits, J.
Format: Journal Article
Language:English
Published: ELSEVIER SCIENCE INC 2019
Subjects:
Science & Technology
Life Sciences & Biomedicine
Cardiac & Cardiovascular Systems
Cardiovascular System & Cardiology
30-day mortality
clinical quality registry
percutaneous coronary intervention
risk-adjustment
PERCUTANEOUS CORONARY INTERVENTION
30-DAY MORTALITY
Aged
Aged, 80 and over
Cause of Death
Coronary Artery Disease
Female
Glomerular Filtration Rate
Health Status
Heart-Assist Devices
Humans
Intubation, Intratracheal
Male
Out-of-Hospital Cardiac Arrest
Percutaneous Coronary Intervention
Quality Indicators, Health Care
Registries
Reproducibility of Results
Risk Assessment
Risk Factors
Shock, Cardiogenic
Stroke Volume
Time Factors
Treatment Outcome
Ventricular Function, Left
Victoria
Online Access:http://purl.org/au-research/grants/nhmrc/1111170
http://hdl.handle.net/20.500.11937/93081

Internet

http://purl.org/au-research/grants/nhmrc/1111170
http://hdl.handle.net/20.500.11937/93081

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