Personality construct as a biomarker in fibromyalgia: A narrative review from an autonomic rehabilitation perspective

被引:2
|
作者
Kulshreshtha, Poorvi [1 ]
Deepak, Kishore Kumar [1 ,2 ]
机构
[1] AIIMS Rishikesh, Dept Physiol, Rishikesh 249203, Uttarakhand, India
[2] IIT Delhi, Dept CBME, New Delhi, India
关键词
Artificial intelligence; autonomic nervous system; biomarkers; chronic pain; diagnosis; personality; CHRONIC PAIN; SOCIAL SUPPORT; COPING STYLES; BRAIN; ALEXITHYMIA; MODULATION; RESPONSES; PROFILES; TRAITS; STRESS;
D O I
10.3233/BMR-220353
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
BACKGROUND: The heterogeneity of symptoms and ineffective treatment raise questions about the current diagnostic criteria of fibromyalgia (FM). Misdiagnosis of FM often leads to less than efficacious treatment and poor quality of life. OBJECTIVE: This article reviews relevant evidence-based literature on personality traits in FM patients with an autonomic dysfunction perspective based on a hierarchical model to explain the utility of considering the personality trait in FM diagnosis. METHODS: A narrative review of articles concerning chronic pain, FM, and personality traits with respect to autonomic dysfunction in FM was conducted after extensive relevant literature searches. RESULTS: Reports discussing the predisposing factors, including coping styles, anger, suicide risk, a lack of physical activity and social support, in maintaining persistent pain in FM exist. Relationships between pain duration and severity and personality traits like neuroticism and extraversion have been reported. Coexisting clinical manifestations of FM like sleep disorders, anxiety, and intestinal irritability indicate autonomic dysfunction. CONCLUSIONS: This article lays out a constructive framework for individualized and personalized medicine for the effective rehabilitation of FM patients. The quest to find a definitive diagnosis of FM should include personality biomarkers that might translate into personalized medicine. An individualistic approach may bank upon artificial intelligence algorithms for both diagnostic as well as prognostic purposes in FM.
引用
收藏
页码:1251 / 1260
页数:10
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