Literature DB >> 28038819

Patterns of inpatient care for acute myocardial infarction and 30-day, 3-month and 1-year cardiac diseases readmission rates in Spain.

Luis Rodriguez-Padial1, Francisco J Elola2, Cristina Fernández-Pérez3, José L Bernal4, Andrés Iñiguez5, José V Segura6, Vicente Bertomeu7.   

Abstract

BACKGROUND: Acute myocardial infarction (AMI) is a common cause of hospital discharges and readmissions. Readmissions may indicate poor patient care and avoidable health expenditure, being key in quality improvement strategies. Our aim was to analyse cardiac diseases (CDs) readmissions in patients with AMI in Spain.
METHODS: A retrospective analysis of 33,538 hospital discharges with AMI being the "principal diagnosis" at hospitals of the Spanish National Health System in 2012 was performed using administrative data. We developed a logistic regression model and calculated 30-day, 3-month and 1-year CDs risk-standardized readmission rates (RSRRs) using a multivariate mixed model.
RESULTS: Variables of the model (AMI location, age, previous angina pectoris/myocardial infarction or acute coronary syndrome, chronic kidney disease, rheumatic valvular disease, diabetes mellitus, vascular disease, female sex, chronic pulmonary disease, and anemia) were able to predict 30-day, 3-month and 1-year readmission rates and RSRRs after AMI (5.4%, 9.3% and 20.2%, respectively). For RSRRs the area under the ROC curve was 0.74 (p=0.0037), 0.77 (p=0.0041), and 0.73 (p=0.0025) for 1, 3months and 1-year readmission rate, respectively. Angioplasty, cardiology as the medical unit responsible for the discharge and a higher volume of activity (>204 AMI) were all significantly (p<0.001) associated with lower mortality, risk of development of heart failure and RSRRs.
CONCLUSIONS: Angioplasty, cardiology as the medical unit responsible for the discharge and a higher volume of activity explain variability in CDs readmission rates after AMI, which can have implications for strategies to reduce readmissions rates.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Acute myocardial infarction; Logistic model; Readmission rate

Mesh:

Year:  2016        PMID: 28038819     DOI: 10.1016/j.ijcard.2016.12.121

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  3 in total

1.  Acute Myocardial Infarction Readmission Risk Prediction Models: A Systematic Review of Model Performance.

Authors:  Lauren N Smith; Anil N Makam; Douglas Darden; Helen Mayo; Sandeep R Das; Ethan A Halm; Oanh Kieu Nguyen
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2018-01

2.  The prevalence of 30-day readmission after acute myocardial infarction: A systematic review and meta-analysis.

Authors:  Huijie Wang; Ting Zhao; Xiaoliang Wei; Huifang Lu; Xiufang Lin
Journal:  Clin Cardiol       Date:  2019-08-12       Impact factor: 2.882

3.  Development and Validation of a Risk Prediction Model for 1-Year Readmission Among Young Adults Hospitalized for Acute Myocardial Infarction.

Authors:  Rachel P Dreyer; Valeria Raparelli; Sui W Tsang; Gail D'Onofrio; Nancy Lorenze; Catherine F Xie; Mary Geda; Louise Pilote; Terrence E Murphy
Journal:  J Am Heart Assoc       Date:  2021-09-13       Impact factor: 5.501

  3 in total

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