Literature DB >> 28576264

Causes and Predictors of 30-Day Readmissions in Atrial Fibrillation (from the Nationwide Readmissions Database).

Muhammad Bilal Munir1, Michael S Sharbaugh2, Shahzad Ahmad2, Shantanu Patil2, Kathan Mehta2, Andrew D Althouse2, Samir Saba2.   

Abstract

Atrial fibrillation (AF) is the most common cause of arrhythmia-related hospitalizations. We assessed 30-day readmissions in patients admitted with AF in a national sample of US population. Data were extracted from Nationwide Readmissions Database for the calendar year 2013. Patients with primary discharge diagnosis of AF were identified by the International Classification of Diseases, Ninth Revision, Clinical Modification, code 427.31. Patients who died during hospitalization and those <18 years were excluded. Our primary outcome was 30-day readmission rate. Causes and independent predictors of 30-day readmissions were examined. We identified 388,340 patients admitted with AF, of whom 58,634 patients (15.1%) were readmitted within 30 days. Patients who were readmitted tended to be older and have a higher burden of co-morbidities. AF and heart failure were the main causes of 30-day readmissions in our cohort. Advanced age, female gender, and multiple co-morbidities were independently associated with 30-day readmissions. In conclusion, 15% of patients admitted for AF were readmitted within 30 days. More than 1/3 of these readmissions were for AF or heart failure.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28576264     DOI: 10.1016/j.amjcard.2017.04.040

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  6 in total

1.  Sex-differences in post-discharge outcomes among patients hospitalized for atrial fibrillation.

Authors:  Bindu Kalesan; Amartya Kundu; Aditya Vaze; Elizabeth Pino; Allan J Walkey; Ramachandran S Vasan; David D McManus
Journal:  Clin Cardiol       Date:  2018-12-19       Impact factor: 2.882

2.  Early (0-7 day) and late (8-30 day) readmission predictors in acute coronary syndrome, atrial fibrillation, and congestive heart failure patients.

Authors:  George Cholack; Joshua Garfein; Josh Errickson; Rachel Krallman; Daniel Montgomery; Eva Kline-Rogers; Kim Eagle; Melvyn Rubenfire; Sherry Bumpus; Geoffrey D Barnes
Journal:  Hosp Pract (1995)       Date:  2021-09-12

3.  Outcomes and Resource Utilization Associated With Readmissions After Atrial Fibrillation Hospitalizations.

Authors:  Byomesh Tripathi; Varunsiri Atti; Varun Kumar; Vamsidhar Naraparaju; Purnima Sharma; Shilpkumar Arora; Ewelina Wojtaszek; Radha Gopalan; Konstantinos C Siontis; Bernard J Gersh; Abhishek Deshmukh
Journal:  J Am Heart Assoc       Date:  2019-09-19       Impact factor: 5.501

4.  Comparison of readmissions among hospitalized nonvalvular atrial fibrillation patients treated with oral anticoagulants in the United States.

Authors:  Steven Deitelzweig; Christine L Baker; Amol D Dhamane; Jack Mardekian; Oluwaseyi Dina; Lisa Rosenblatt; Cristina Russ; Tayla Poretta; Melissa Lingohr-Smith; Jay Lin
Journal:  J Drug Assess       Date:  2020-04-24

5.  Causes and Predictors of Readmission in Patients With Atrial Fibrillation Undergoing Catheter Ablation: A National Population-Based Cohort Study.

Authors:  Shilpkumar Arora; Sopan Lahewala; Byomesh Tripathi; Varshil Mehta; Varun Kumar; Divya Chandramohan; Alejandro Lemor; Mihir Dave; Nileshkumar Patel; Nilay V Patel; Ghanshyam Palamaner Subash Shantha; Juan Viles-Gonzalez; Abhishek Deshmukh
Journal:  J Am Heart Assoc       Date:  2018-06-15       Impact factor: 5.501

Review 6.  Remote Monitoring of Implantable Cardioverter-Defibrillators, Cardiac Resynchronization Therapy and Permanent Pacemakers: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2018-10-24
  6 in total

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