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Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
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Frequency and predictors of depression in congestive heart failure

Ibrahim Zahid1, Mishall Ahmed Baig1, Jaleed Ahmed Gilani2

  • 1Dow University of Health Sciences, Pakistan.

Indian Heart Journal
|January 1, 2019
PubMed

Insights

Depression is common in congestive heart failure (CHF) patients, affecting 60% of those studied. Key predictors include advanced heart failure stage, previous heart attack, and lifestyle factors, highlighting the urgent need for targeted interventions.

Area of Science:

  • Cardiology
  • Psychiatry
  • Public Health

Background:

  • Depression is a significant comorbidity in congestive heart failure (CHF) patients.
  • It is associated with increased morbidity and mortality.
  • Understanding depression predictors in CHF is crucial for timely identification and management.

Purpose of the Study:

  • To determine the frequency of depression in CHF patients.
  • To identify key predictors of depression within this population.

Main Methods:

  • A cross-sectional study involving 170 CHF patients.
  • Depression assessed using the Patient Health Questionnaire-9 (PHQ-9).
  • Data analyzed using SPSS v22 with significance set at p < 0.05.

Main Results:

  • 60% of CHF patients (102 out of 170) exhibited depression.
  • Mild depression was observed in 42%, moderate-to-severe in 58%.
  • Significant predictors included NYHA stage 3-4, prior myocardial infarction, living alone, lack of joint family, sedentary lifestyle, age ≥70, and recent hospitalization.

Conclusions:

  • Depression is highly prevalent in CHF patients.
  • Multiple clinical, social, and lifestyle factors are associated with depression in CHF.
  • Urgent attention and targeted interventions are necessary for this patient group.
Abstract

Keywords:
Congestive heart failureDepressionNYHA classification

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