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[Algorithm of anxiety-depressive disorders detection in patients with coronary heart disease in general clinical

S N Kozlova, E V Shliakhto, A V Golubev

    Terapevticheskii Arkhiv
    |March 31, 2011
    PubMed

    Insights

    A new diagnostic algorithm can identify anxiodepressive disorders (ADD) in coronary patients using simple questionnaires. This tool aids general practitioners in early detection without needing specialists.

    Area of Science:

    • Cardiology
    • Psychiatry
    • Medical Diagnostics

    Context:

    • Coronary patients frequently experience comorbid anxiodepressive disorders (ADD).
    • Early detection of ADD in cardiac patients is crucial for effective management.
    • General therapeutic practice often lacks specialized psychiatric support for these patients.

    Purpose:

    • To develop and validate a diagnostic algorithm for detecting anxiodepressive disorders (ADD) in patients with coronary heart disease.
    • To create a multifactor model for ADD detection using clinical, anamnestic, and socioeconomic parameters.
    • To enable early identification of ADD in primary care settings.

    Summary:

    • A diagnostic algorithm was developed using multiple logistic regression on data from 163 coronary patients.
    • Key predictors for ADD included past anxiety/depression, recent stress, alcohol consumption, and disease perception.
    • The algorithm provides a diagnostic tool for ADD in coronary patients within general practice.

    Impact:

    • Facilitates early and accessible diagnosis of anxiodepressive disorders in coronary patients.
    • Empowers general practitioners to manage ADD without immediate referral to specialists.
    • Potentially improves patient outcomes by enabling timely intervention for comorbid mental health conditions.
    Abstract

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