| Literature DB >> 28298847 |
Firosh Khan1, Abdulkhader Shehna2, Sivaramakrishnan Ramesh3, Kakkassery Sankaran Sandhya1, Reji Paul4.
Abstract
AIM: Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy and is one of the most common requests for electrodiagnosis. We aimed to note the relationship of subjective symptom severity of CTS, with objective electrophysiological severity and psychological status of patients. PATIENTS AND METHODS: One hundred and forty-four consecutive patients of CTS referred to neurophysiology laboratory of a tertiary care hospital over 1 year were prospectively studied. Boston CTS Assessment Questionnaire (BCTSAQ) and visual analog scale (VAS) were used to assess subjective symptom severity. Psychological status was assessed by Hospital Anxiety and Depression Scale (HADS). Electrophysiological severity of CTS was estimated by median motor distal latency and median to ulnar peak sensory latency difference across the wrist. Each parameter in both hands was scored from 0 to 3 depending on the severity grade, and a composite electrophysiological severity score (CEPSS) was calculated for each patient by summing up the scores in both hands. Statistical analysis was done by Spearman's rank correlation test.Entities:
Keywords: Carpal tunnel syndrome; composite electrophysiology score; psychological status
Year: 2017 PMID: 28298847 PMCID: PMC5341273 DOI: 10.4103/0972-2327.199909
Source DB: PubMed Journal: Ann Indian Acad Neurol ISSN: 0972-2327 Impact factor: 1.383
A brief description about Boston Carpal Tunnel Syndrome Assessment Questionnaire, visual analog scale, and Hospital Anxiety and Depression Scale
Figure 1Scoring of the severity of the electrophysiology variables: Median motor distal latency and palm-wrist sensory peak latency difference. Composite electrophysiology severity score is calculated by adding of individual scores of distal latency and palm-wrist sensory peak latency difference from right and left hands
Figure 2Plot of the composite electrophysiology severity score of patients
Statistical analysis of different variables