KMID : 0363120190320020120
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Korean Journal of Pain 2019 Volume.32 No. 2 p.120 ~ p.128
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Fibromyalgia diagnostic model derived from combination of American College of Rheumatology 1990 and 2011 criteria
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Ghavidel-Parsa Banafsheh
Bidari Ali Hajiabbasi Asghar Shenavar Irandokht Ghalehbaghi Babak Sanaei Omid
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Abstract
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Background: We aimed to explore the American College of Rheumatology (ACR) 1990 and 2011 fibromyalgia (FM) classification criteria¡¯s items and the components of Fibromyalgia Impact Questionnaire (FIQ) to identify features best discriminating FM features. Finally, we developed a combined FM diagnostic (C-FM) model using the FM¡¯s key features.
Methods: The means and frequency on tender points (TPs), ACR 2011 components and FIQ items were calculated in the FM and non-FM (osteoarthritis [OA] and non-OA) patients. Then, two-step multiple logistic regression analysis was performed to order these variables according to their maximal statistical contribution in predicting group membership. Partial correlations assessed their unique contribution, and two-group discriminant analysis provided a classification table. Using receiver operator characteristic analyses, we determined the sensitivity and specificity of the final model.
Results: A total of 172 patients with FM, 75 with OA and 21 with periarthritis or regional pain syndromes were enrolled. Two steps multiple logistic regression analysis identified 8 key features of FM which accounted for 64.8% of variance associated with FM group membership: lateral epicondyle TP with variance percentages (36.9%), neck pain (14.5%), fatigue (4.7%), insomnia (3%), upper back pain (2.2%), shoulder pain (1.5%), gluteal TP (1.2%), and FIQ fatigue (0.9%). The C-FM model demonstrated a 91.4% correct classification rate, 91.9% for sensitivity and 91.7% for specificity.
Conclusions: The C-FM model can accurately detect FM patients among other pain disorders. Re-inclusion of TPs along with saving of FM main symptoms in the C-FM model is a unique feature of this model.
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KEYWORD
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Chronic pain, Discriminant analysis, Fatigue, Fibromyalgia, Logistic models, Neck pain, Osteoarthritis, Periarthritis, Sensitivity and specificity, Shoulder pain, Sleep initiation and maintenance disorders, Survey and questionnaires
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