CBS 2019
CBSMD教育中心
中 文

推荐文献

Abstract

Recommended Article

Management of Percutaneous Coronary Intervention Complications: Algorithms From the 2018 and 2019 Seattle Percutaneous Coronary Intervention Complications Conference Appropriate Use Criteria and Health Status Outcomes Following Chronic Total Occlusion Percutaneous Coronary Intervention: Insights From the OPEN-CTO Registry Association of Body Mass Index With Lifetime Risk of Cardiovascular Disease and Compression of Morbidity The Astronaut Cardiovascular Health and Risk Modification (Astro-CHARM) Coronary Calcium Atherosclerotic Cardiovascular Disease Risk Calculator Best Practices for the Prevention of Radial Artery Occlusion After Transradial Diagnostic Angiography and Intervention An International Consensus Paper Effects of Aspirin for Primary Prevention in Persons with Diabetes Mellitus A VOYAGER Meta-Analysis of the Impact of Statin Therapy on Low-Density Lipoprotein Cholesterol and Triglyceride Levels in Patients With Hypertriglyceridemia Randomized Comparison of Ridaforolimus-Eluting and Zotarolimus-Eluting Coronary Stents 2-Year Clinical Outcomes: From the BIONICS and NIREUS Trials

Original Research2017 May;89(6):955-963.

JOURNAL:Catheter Cardiovasc Interv. Article Link

Development and validation of a simple risk score to predict 30-day readmission after percutaneous coronary intervention in a cohort of medicare patients

Minges KE, Herrin J, Fiorilli PN et al. Keywords: Medicare; health care outcomes; percutaneous coronary intervention; quality improvement; risk stratification

ABSTRACT

OBJECTIVES - To develop a risk model that can be used to identify PCI patients at higher risk of readmission who may benefit from additional resources at the time of discharge.

 

BACKGROUND - A high proportion of patients undergoing PCI are readmitted within 30 days of discharge.

 

METHODS - The sample comprised patients aged 65 years who underwent PCI at a CathPCI Registry®-participating hospital and could be linked with 100% Medicare fee-for-service claims between 01/2007 and 12/2009. The sample (n = 388,078) was randomly divided into risk score development (n = 193,899) and validation (n = 194,179) cohorts. We did not count as readmissions those associated with staged revascularization procedures. Multivariable logistic regression models using stepwise selection models were estimated to identify variables independently associated with all-cause 30-day readmission.

 

RESULTS - The mean 30-day readmission rates for the development (11.36%) and validation (11.35%) cohorts were similar. In total, 19 variables were significantly associated with risk of 30-day readmission (P < 0.05), and model c-statistics were similar in the development (0.67) and validation (0.66) cohorts. The simple risk score based on 14 variables identified patients at high and low risk of readmission. Patients with a score of 13 (15.4% of sample) had more than an 18.5% risk of readmission, while patients with a score 6 (41.9% of sample) had less than an 8% risk of readmission.

 

CONCLUSION - Among PCI patients, risk of readmission can be estimated using clinical factors present at the time of the procedure. This risk score may guide clinical decision-making and resource allocation for PCI patients at the time of hospital discharge. © 2016 Wiley Periodicals, Inc.

 

© 2016 Wiley Periodicals, Inc.