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Related Experiment Videos

Cortisol suppression index: a further evaluation.

W W Zung, W H Denton, S Mahorney

    The Journal of Clinical Psychiatry
    |October 1, 1984
    PubMed
    Summary
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    The cortisol suppression index (CSI) can improve major depression detection in psychiatric patients. A 4 p.m. CSI identified 71% of patients, outperforming the dexamethasone suppression test (DST) alone.

    Area of Science:

    • Endocrinology
    • Psychiatry
    • Clinical Diagnostics

    Background:

    • The cortisol suppression index (CSI) is a ratio of pre- to post-dexamethasone plasma cortisol.
    • Previous research indicated the 8 a.m. CSI identified 66% of psychiatric inpatients with major depression.

    Purpose of the Study:

    • To evaluate the utility of a 4 p.m. CSI in identifying major depression in psychiatric inpatients.
    • To compare the diagnostic accuracy of the 4 p.m. CSI with the traditional dexamethasone suppression test (DST) criteria.

    Main Methods:

    • The study involved psychiatric inpatients diagnosed with major depression.
    • Cortisol levels were measured before and after dexamethasone administration.
    • The cortisol suppression index (CSI) was calculated as the ratio of pre- to post-dexamethasone plasma cortisol concentrations.

    Related Experiment Videos

  • The diagnostic performance of the 4 p.m. CSI was compared to DST criteria alone.

    • Main Results:

    • The 4 p.m. CSI identified 71% of psychiatric inpatients with major depression.
    • This diagnostic accuracy surpassed the 53% identification rate achieved using DST criteria alone.
    • The findings provide further validation for the use of the CSI in depression assessment.

    Conclusions:

    • The 4 p.m. CSI demonstrates enhanced utility in detecting major depression among psychiatric inpatients.
    • The CSI shows promise as a more effective diagnostic tool compared to DST alone.
    • Further research is recommended to explore the full clinical utility of the CSI for improving major depression detection.