Key result
Biopsychosocial stress markers including HRV identify fibromyalgia cases with ~87% specificity.
Why the study?
Fibromyalgia lacks clinical biomarkers, and assessing stress markers including heart rate variability from a biopsychosocial perspective may help identify the condition.
Do biopsychosocial stress markers, including heart rate variability, accurately identify fibromyalgia in women compared to pain-free controls?
Case-Control (n=94)
Do biopsychosocial stress markers, including heart rate variability, accurately identify fibromyalgia in women compared to pain-free controls?
Effect estimate: λ = 0.58 and λ = 0.59
p-value: p=< .00
A biopsychosocial approach incorporating heart rate variability, psychological distress, and social stress can help identify women with fibromyalgia with good sensitivity and specificity.
May support fibromyalgia identification in women; hypothesis-generating and requires prospective validation before clinical use.
BACKGROUND: Identification of fibromyalgia has been a challenge for healthcare professionals due to the lack of a clinical biomarker. A well-supported integrative hypothesis holds that this condition is a chronic pain problem partly caused by long-term dysregulation of stress response. Therefore, stress assessment from a biopsychosocial perspective may be a useful approach to recognizing fibromyalgia. PURPOSE: A cross-sectional case-control study was conducted to explore stress markers from a multidimensional perspective, including heart rate variability (as a biomarker of stress) as well as psychological distress and social stress. METHODS: Forty-seven women with fibromyalgia were recruited from support groups and another 47 were recruited as matched pain-free controls. Comparison and discriminant function analyses were performed. RESULTS: The data support the goodness of biopsychosocial stress markers in women with fibromyalgia, resulting in the identification of between 70% and 74.5% of fibromyalgia cases (sensitivity) and 85%-87% pain-free controls (specificity), with medium-high levels of fit (λ = 0.58 and λ = 0.59; p < .00). Women with fibromyalgia were characterized by high levels of psychological distress, social stress (disorder levels), and autonomic dysregulation. Although distress and social stress had a greater weight in discriminant functions, dysregulation in terms of low parasympathetic activity and high sympathetic activity at rest was also relevant. CONCLUSIONS: A biopsychosocial approach to stress with an objective biomarker such as heart rate variability may be a useful tool to identify and manage FM.
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Boyer et al. (2024) conducted a case-control in Fibromyalgia (n=94). Biopsychosocial stress markers (heart rate variability, psychological distress, social stress) vs. Pain-free controls was evaluated on Identification of fibromyalgia cases (sensitivity and specificity) (λ = 0.58 and λ = 0.59, p=< .00). Biopsychosocial stress markers, including heart rate variability, identified fibromyalgia cases with 70-74.5% sensitivity and 85-87% specificity (p < .00).
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