Logo-jcvtr
Submitted: 06 Feb 2021
Revision: 07 Feb 2022
Accepted: 14 Feb 2022
ePublished: 12 Mar 2022
EndNote EndNote

(Enw Format - Win & Mac)

BibTeX BibTeX

(Bib Format - Win & Mac)

Bookends Bookends

(Ris Format - Mac only)

EasyBib EasyBib

(Ris Format - Win & Mac)

Medlars Medlars

(Txt Format - Win & Mac)

Mendeley Web Mendeley Web
Mendeley Mendeley

(Ris Format - Win & Mac)

Papers Papers

(Ris Format - Win & Mac)

ProCite ProCite

(Ris Format - Win & Mac)

Reference Manager Reference Manager

(Ris Format - Win only)

Refworks Refworks

(Refworks Format - Win & Mac)

Zotero Zotero

(Ris Format - Firefox Plugin)

J Cardiovasc Thorac Res. 2022;14(1): 11-17.
doi: 10.34172/jcvtr.2022.08
PMID: 35620751
PMCID: PMC9106947
Scopus ID: 85132131775
  Abstract View: 969
  PDF Download: 891
  Full Text View: 121

Original Article

Predictors of readmission in hospitalized heart failure patients

Nasim Naderi 1 ORCID logo, Maryam Chenaghlou 2* ORCID logo, Marzieh Mirtajaddini 1, Zeinab Norouzi 1, Nasibeh Mohammadi 1,3, Ahmad Amin 1, Sepideh Taghavi 1, Hamidreza Pasha 1, Reza Golpira 1

1 Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran ,Iran
2 Cardiovascular Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
3 Zanjan University of Medical Sciences, Zanjan, Iran
*Corresponding Author: *Corresponding Author: Maryam Chenaghlou, Email: , Email: mchenaghlou@yahoo.com

Abstract

Introduction: Heart failure(HF) related hospitalization constitutes a significant proportion of healthcare cost. Unchanging rates of readmission during recent years, shows the importance of addressing this problem.
Methods: Patients admitted with heart failure diagnosis in our institution during April 2018to August 2018 were selected. Clinical, para-clinical and imaging data were recorded. All included patients were followed up for 6 months. The primary endpoints of the study were prevalence of early readmission and the predictors of that. Secondary end points were in-hospital and 6-month post-discharge mortality rate and late readmission rate.
Results: After excluding 94 patients due to missing data, 428 patients were selected. Mean age of patients was 58.5 years (±17.4) and 61% of patients were male. During follow-up, 99patients (24%) were readmitted. Early re-admission (30-day) occurred in 27 of the patients(6.6%). The predictors of readmission were older age ( P=0.006), lower LVEF (P <0.0001), higher body weight (P=0.01), ICD/CRT implantation ( P=0.001), Lower sodium ( P=0.01), higher Pro-BNP(P=0.01), Higher WBC count (P=0.01) and higher BUN level (P=0.02). Independent predictors of early readmission were history of device implantation (P=0.007), lower LVEF (P=0.016), QRS duration more than 120 ms (P=0.037), higher levels of BUN (P=0.008), higher levels of Pro-BNP(P=0.037) and higher levels of uric acid (P=0.035). Secondary end points including in-hospital and 6-month post-discharge mortality occurred in 11% and 14.4% of patients respectively.
Conclusion: Lower age of our heart failure patients and high prevalence of ischemic cardiomyopathy, necessitate focusing on more preventable factors related to heart failure.


First Name
Last Name
Email Address
Comments
Security code


Abstract View: 970

Your browser does not support the canvas element.


PDF Download: 891

Your browser does not support the canvas element.


Full Text View: 121

Your browser does not support the canvas element.