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Usefulness of a personalized algorithm‐based discharge checklist in patients hospitalized for acute heart failure
- Source :
- ESC Heart Failure, ESC Heart Failure, Vol 7, Iss 3, Pp 1217-1223 (2020)
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- Aims The aim of this study is to evaluate the usefulness of a personalized discharge checklist (PCL) based on simple baseline characteristics on mortality, readmission for heart failure (HF), and quality of care in patients hospitalized for acute HF. Methods and results We designed an algorithm to generate PCL, based on 2016 HF European Society of Cardiology Guidelines and the screening of common comorbidities in elderly HF patients. We prospectively included 139 patients hospitalized for HF from May 2018 to October 2018. A PCL was fulfilled for each patient at admission and 24 to 48 hours before the planned discharge. A control cohort of 182 consecutive patients was retrospectively included from May 2017 to October 2017. The primary composite endpoint was mortality or readmission for HF at 6 months. The secondary endpoints were mortality, readmission for HF, and quality of care (evidence‐based medications, management of HF comorbidities, and planned care plan). There was no difference among baseline characteristics between PCL and control cohorts; mean age was 78.1 ± 12.2 vs. 79.0 ± 12.5 years old (P = 0.46) and 61 patients (43.9%) vs. 63 (34.6%) had HF with left ventricular ejection fraction (LVEF)
- Subjects :
- lcsh:Diseases of the circulatory (Cardiovascular) system
Short Communication
Population
Subgroup analysis
030204 cardiovascular system & hematology
Ventricular Function, Left
03 medical and health sciences
0302 clinical medicine
Cause of Death
medicine
Clinical endpoint
Humans
030212 general & internal medicine
Discharge checklist
education
Aged
Retrospective Studies
Aged, 80 and over
Heart Failure
education.field_of_study
Ejection fraction
business.industry
Hazard ratio
Stroke Volume
medicine.disease
Patient Discharge
Confidence interval
Checklist
lcsh:RC666-701
Heart failure
Cohort
Cardiology and Cardiovascular Medicine
business
Algorithm
Algorithms
Subjects
Details
- ISSN :
- 20555822
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- ESC Heart Failure
- Accession number :
- edsair.doi.dedup.....28c5bedc015693d843078026afc99878