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Use of depression rating scales in chronic fatigue syndrome
1Academic Department of Psychological Medicine, GKT School of Medicine and Institute of Psychiatry, Weston Education Centre, Cutcombe Road, London SE5 9RJ, United Kingdom.
Insights
Standard depression scales may be inaccurate for chronic fatigue syndrome (CFS) patients. This study found optimal cut-offs for the General Health Questionnaire (GHQ), Hamilton Depression Scale (HAM-D), and Hospital Anxiety and Depression Scale (HADS-D) in CFS populations.
Area of Science:
- Psychiatry
- Clinical Psychology
- Medical Research
Background:
- Chronic Fatigue Syndrome (CFS) is a complex condition often accompanied by psychiatric comorbidities.
- Accurate assessment of depression is crucial for effective management of CFS patients.
- Existing depression rating scales may require validation in specific patient populations like those with CFS.
Purpose of the Study:
- To evaluate the performance of three common depression rating scales: General Health Questionnaire (GHQ), Hamilton Depression Scale (HAM-D), and Hospital Anxiety and Depression Scale (HADS-D).
- To determine the optimal cut-off scores for these scales in a hospital-based sample of patients diagnosed with Chronic Fatigue Syndrome (CFS).
- To assess the diagnostic accuracy of these scales against a structured clinical interview (SCID-P).
Main Methods:
- Sixty-one patients meeting CDC criteria for CFS were recruited.
- Participants completed the GHQ, HAM-D, and HADS-D.
- Psychiatric status was assessed using the Structured Clinical Interview for DSM-III-R. DISORDERS: Patient version (SCID-P), and Receiver Operating Characteristic (ROC) curves were generated for each scale.
Main Results:
- Thirty-one percent of CFS patients were diagnosed with depression via SCID-P.
- The GHQ and HAM-D overestimated depression prevalence using standard cut-offs.
- The HADS-D underestimated depression prevalence.
- Optimal cut-offs were identified as 7/8 for GHQ, 13/14 for HAM-D, and 8/9 for HADS-D.
Conclusions:
- Standard cut-off scores for the GHQ, HAM-D, and HADS-D may not be suitable for identifying depression in CFS patients within a tertiary care setting.
- Revised cut-off points are recommended for improved accuracy in this population.
- Further research may be needed to refine diagnostic tools for CFS patients.
Objective:
The aim of this study was to examine the performance of three commonly used depression rating scales in a hospital sample of patients with chronic fatigue syndrome (CFS).
Methods:
Sixty-one patients with CDC criteria for CFS completed the General Health Questionnaire (GHQ), the Hamilton Depression Scale (HAM-D) and the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). Current psychiatric status was assessed using the Structured Clinical Interview for DSM-III-R. DISORDERS: Patient version (SCID-P). Receiver operating curves were drawn for each of the depression rating scales.
Results:
Thirty-one percent of the patients were depressed according to the SCID-P. Using the standard cut-offs, both GHQ and HAM-D overestimated the number of depressed patients, whilst the HADS-D underestimated the number. The receiver operating curves suggest that the optimum cut-offs for GHQ, HAM-D and HADS-D in this population are 7/8, 13/14 and 8/9, respectively.
Conclusions:
Standard cutoffs may not be appropriate when using depression rating scales in CFS patients in a tertiary care setting.
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Depressive Disorders: MDD and Dysthymia
Depression: Overview