Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis.

OBJECTIVES: Validated diagnostic interviews are required to classify depression status and estimate prevalence of disorder, but screening tools are often used instead. We used individual participant data meta-analysis to compare prevalence based on standard Hospital Anxiety and Depression Scale - depression subscale (HADS-D) cutoffs of ≥8 and ≥11 versus Structured Clinical Interview for DSM (SCID) major depression and determined if an alternative HADS-D cutoff could more accurately estimate prevalence. METHODS: We searched Medline, Medline In-Process & Other Non-Indexed Citations via Ovid, PsycINFO, and Web of Science (inception-July 11, 2016) for studies comparing HADS-D scores to SCID major depression status. Pooled prevalence and pooled differences in prevalence for HADS-D cutoffs versus SCID major depression were estimated. RESULTS: 6005 participants (689 SCID major depression cases) from 41 primary studies were included. Pooled prevalence was 24.5% (95% Confidence Interval (CI): 20.5%, 29.0%) for HADS-D ≥8, 10.7% (95% CI: 8.3%, 13.8%) for HADS-D ≥11, and 11.6% (95% CI: 9.2%, 14.6%) for SCID major depression. HADS-D ≥11 was closest to SCID major depression prevalence, but the 95% prediction interval for the difference that could be expected for HADS-D ≥11 versus SCID in a new study was -21.1% to 19.5%. CONCLUSIONS: HADS-D ≥8 substantially overestimates depression prevalence. Of all possible cutoff thresholds, HADS-D ≥11 was closest to the SCID, but there was substantial heterogeneity in the difference between HADS-D ≥11 and SCID-based estimates. HADS-D should not be used as a substitute for a validated diagnostic interview.

Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale - Depression subscale scores: An individual participant data meta-analysis of 73 primary studies.

OBJECTIVE: Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). METHODS: Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and Mini International Neuropsychiatric Interview (MINI), controlling for HADS-D scores and participant characteristics with and without an interaction term between interview and HADS-D scores. RESULTS: There were 15,856 participants (1942 [12%] with major depression) from 73 studies, including 15,335 (97%) non-psychiatric medical patients, 164 (1%) partners of medical patients, and 357 (2%) healthy adults. The MINI (27 studies, 7345 participants, 1066 major depression cases) classified participants as having major depression more often than the CIDI (10 studies, 3023 participants, 269 cases) (adjusted odds ratio [aOR] = 1.70 (0.84, 3.43)) and the semi-structured SCID (36 studies, 5488 participants, 607 cases) (aOR = 1.52 (1.01, 2.30)). The odds ratio for major depression classification with the CIDI was less likely to increase as HADS-D scores increased than for the SCID (interaction aOR = 0.92 (0.88, 0.96)). CONCLUSION: Compared to the SCID, the MINI may diagnose more participants as having major depression, and the CIDI may be less responsive to symptom severity.

Is poststroke depression a major depression?

BACKGROUND: Poststroke depression (PSD) is the most common neuropsychiatric consequence of stroke. A large number of studies have focused on the pathogenesis of PSD, but only a few aimed to characterize its psychopathology; these studies yielded results that are difficult to compare because of the different methods utilized. The current study aimed to characterize the symptom profile of PSD in an attempt to better understand the disease and allow a more accurate diagnosis. METHODS: The study sample comprised 64 patients divided into three groups: stroke patients without diagnosis of depression (n = 33), stroke patients diagnosed with PSD (PSD group, n = 14) and patients diagnosed with major depression (MD) but with no clinical comorbidity (MD group, n = 17). All patients were diagnosed using the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I). The initial diagnostic interview was complemented by the Mini Mental State Examination (MMSE), the Rankin Scale, and four scales for the assessment of the intensity of symptoms of anxiety and depression: the Beck Depression Inventory (BDI), the Hospital Anxiety and Depression General Scale (HADS), the Hamilton Depression Rating Scale (HAM-D) and the Hamilton Rating Scale for Anxiety (HAM-A). The Star Plot, a graphical method of data visualization, was used to analyze the results. The t test was used for independent samples (two-tailed analysis). RESULTS: As measured by the BDI, HAM-D and HAM-A scales and HADS depression subscale, the average total scores of symptoms for the sample of patients diagnosed with MD without clinical comorbidity was significantly higher than that of the PSD patients (p < 0.05). Similar results were obtained by plotting the BDI data on Star Plot. The PSD patients showed mild typical depressive symptoms such as less depressed mood, anhedonia, disinterest, guilt, negative thoughts, depreciation, suicidal ideation and anxiety, when evaluated by the HAM-A scale. Moreover, the somatic symptoms of depression did not lead to increased diagnosis of major depression in stroke patients. CONCLUSIONS: The results indicate that the PSD clinical picture comprised, in general, symptoms of mild/moderate intensity, especially those considered as pillars for the diagnosis of depression: depressed mood, loss of pleasure and lack of interest. Given the imprecision of boundaries that separate the clinical forms of depression from subclinical and nonpathological forms, or even from the concepts of demoralization and adjustment disorders, we situate PSD in a complex biopsychosocial context in which a better understanding of its psychopathological profile could provide diagnostic and therapeutic alternatives best suited to the difficult reality experienced by stroke patients.