P57-T Relationship of adiposity indices with carpal tunnel syndrome: A clinical and electrophysiological evaluation. Issue 7 (July 2019)

• Record Type: Journal Article
• Authors: Habib, Syed; Alanazy, Mohammad
• Is Part Of: Clinical neurophysiology. Volume 130:Issue 7(2019:Jul.)
• Page Start: e55
• Page End: e56
• Publication Date: 2019-07
• Subjects: Neurophysiology -- Periodicals; Electroencephalography -- Periodicals; Electromyography -- Periodicals; Neurology -- Periodicals; 612.8
• DOI: 10.1016/j.clinph.2019.04.420
• Languages: English
• ISSNs: 1388-2457

Abstract

Abstract : Background: Since body mass index (BMI) is a poor indicator of adiposity therefore more accurate measures of obesity such as total and segmental body composition relationships with carpal tunnel syndrome (CTS) need further studies. We aimed to study the relationship of adiposity indices with electrophysiological and clinical features of CTS. Methods: We studied 103 hands in a total of 61 patients (mean age 54 ± 5 years) with clinical CTS. All patients underwent nerve conduction studies (NCS) and body composition analysis by bio-impedance analysis. Patients were grouped according to BMI, total body adiposity, visceral fat rating and segmental adiposity in the upper limbs. NCS parameters, clinical features were compared between different groups. Results: CTS severity score correlated significantly with BMI ( r = .343, p < 0.001), body fat% [BF%] ( r = .363, p < 0.001), total fat mass [TFM] ( r = .421, p < 0.001), visceral fat scores [VFS] ( r = .569, p < 0.001), [arm fat] AF% ( r = .299, p < 0.01) and [arm fat mass] AFM ( r = .374, p < 0.001). CTS by NCS correlated significantly with BMI ( r = .431, p < 0.001), BF% ( r = .371, p < 0.001), TFM ( r = .394, p < 0.001), visceral fat scores ( r = .394, p < 0.001), AF% ( r = .392, p < 0.01) and AFM (.403, p < 0.001). ROC analysis revealed that CTS severity was predicted significantly by BMI, TFM, VFR and AFM with AUC.702, .746, .795 and.726. VFS predicted severity (Stand β = 0.613, P < 0.001) and delayed latency (Stand β = 0.317, P < 0.05). Conclusions: Body adiposity indices are significantly related with clinical severity of CTS and electro-physiological parameters especially visceral adiposity. Large scale prospective studies are required to explore the true predictive value of body composition in CTS.