Predictors of Rehospitalization in Patients with Chronic Heart Failure a Single Center Study in Moroccan Patients

Couissi, A. and Ettagmouti, Y. and Boutaleb, A. and Ettachfini, T. and Habbal, R. (2023) Predictors of Rehospitalization in Patients with Chronic Heart Failure a Single Center Study in Moroccan Patients. Cardiology and Angiology: An International Journal. pp. 110-113. ISSN 2347-520X

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Abstract

Chronic heart failure (HF) is a major problem of public health in Morocco with few studies exploring HF particularities in this country where the prevalence of HF is estimated to be around 2.2%.

Objective: The aim of this study was to evaluate the correlation between frequency of rehospitalization in our population with age, left ventricular ejection fraction (LVEF), heart rate (HR), and QRS duration, Since the number of rehospitalizations is strongly correlated to mortality as shown by many studies.

Materials and Methods: Patients with HF were enrolled in this retrospective case control study regardless of their LVEF, patients with recent (<3months) myocardial infarction were excluded. They were all examined and questioned in the heart failure unit of our hospital between the period of October 2022 and December 2022. The correlations were calculated by PEARSON index using R Statistical Software.

Results: 224 patients were included. The mean patient age was 59 years (57.2-63;IC 95%) with a male predominance of 60.1 % (56.8-71; IC 95%). 35.5% and 32.2% of patients were treated for hypertension and diabetes respectively. The mean LVEF was 35.2% (33.96-36.91;IC 95%). A positive correlation was found between rehospitalization frequency and age and high heart rate (+ 0.42 p = 0,04;+0.322, p<0.005) respectively . Conversely a negative correlation was found with LVEF (-0.312, p<0.005) while there was a positive correlation with QRS duration but without significance (+0.162 , p=0.03).

Conclusion: This study shows strong correlation between rehospitalization and advanced age, higher HR and lower LVEF.

Item Type: Article
Subjects: GO for STM > Medical Science
Depositing User: Unnamed user with email support@goforstm.com
Date Deposited: 16 May 2023 12:29
Last Modified: 17 Jan 2024 03:46
URI: http://archive.article4submit.com/id/eprint/854

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