The frequency of psychiatric disorder co-morbidities in patients with fibromyalgia: A cross-sectional study in Iran

Applying the Somatic Symptom Disorder Diagnosis to Individuals with Fibromyalgia: Strengths and Limitations

Amidst broad changes to the somatic disorder diagnoses, DSM-IV pain disorder was absorbed into DSM-5's somatic symptom disorder (SSD) as a specifier. However, clinical research testing of its use for the chronic pain population has been limited and its utility remains inconclusive. Using the exemplar of fibromyalgia, this article evaluates the validity, reliability, clinical utility, and acceptability of the SSD pain specifier. The diagnosis appears to have moderate validity but low specificity for the fibromyalgia population. The pain specifier has neither undergone sufficient field testing nor been evaluated for use by medical providers, with available data suggesting low reliability. Further research is needed to establish clinical utility via assessment of differential treatment outcomes. Concerns about social, legal, and economic consequences of classifying pain patients with a mental health diagnosis are outstanding. The current SSD criteria should be used with caution among the fibromyalgia patient population until its application for chronic pain has been further researched.

Personality Disorders and Traits of ABC Clusters in Fibromyalgia in a Neurological Setting

BACKGROUND

Evidence suggests that there is substantial comorbidity between fibromyalgia and Axis II pathology (i.e., personality disorders-PDs). The aim of the current study was to find out the exact cluster (A, B, C) of PDs or traits that are more prominent in FM and may be predictors of FM diagnosis.

METHODS

Data from 86 subjects (53 with FM and 33 controls without FM) were analyzed in an observational, cross-sectional, comparative study in a neurological setting. The assessment of categorical PDs and traits was performed independently with the Structured Clinical Interview for Personality Disorders (SCID-II). Binary logistic regression was used to determine FM predictors among PD traits.

RESULTS

Compared with controls, FM patients had a higher rate of PD diagnoses (56.7 vs. 18.2%, p < 0.001). However, the rate was significantly higher only for borderline PD diagnosis (28.3% vs. 6.1% p < 0.05). The binary logistic regression analysis showed that schizotypal and schizoid (cluster A), borderline (cluster B), and dependent (cluster C) personality traits may be significant predictors of fibromyalgia (Nagelkerke R2 = 0.415).

CONCLUSIONS

Our results may reflect the association of FM with personality traits of all three PD clusters: A (eccentric), B (dramatic), and C (anxious). However, the most consistent evidence seems to be for borderline PD.