Journal article
Effects of Varying Case Definition on Carpal Tunnel Syndrome Prevalence Estimates in a Pooled Cohort
Archives of physical medicine and rehabilitation, Vol.95(12), pp.2320-2326
12/2014
DOI: 10.1016/j.apmr.2014.08.004
PMCID: PMC4342110
PMID: 25175160
Abstract
To analyze differences in carpal tunnel syndrome (CTS) prevalence using a combination of electrodiagnostic studies (EDSs) and symptoms using EDS criteria varied across a range of cutpoints and compared with symptoms in both ≥1 and ≥2 median nerve–served digits.
Pooled data from 5 prospective cohorts.
Hand-intensive industrial settings, including manufacturing, assembly, production, service, construction, and health care.
Employed, working-age participants who are able to provide consent and undergo EDS testing (N=3130).
None.
CTS prevalence was estimated while varying the thresholds for median sensory latency, median motor latency, and transcarpal delta latency difference. EDS criteria examined included the following: median sensory latency of 3.3 to 4.1 milliseconds, median motor latency of 4.1 to 4.9 milliseconds, and median-ulnar sensory difference of 0.4 to 1.2 milliseconds. EDS criteria were combined with symptoms in ≥1 or ≥2 median nerve–served digits. EDS criteria from other published studies were applied to allow for comparison.
CTS prevalence ranged from 6.3% to 11.7%. CTS prevalence estimates changed most per millisecond of sensory latency compared with motor latency or transcarpal delta. CTS prevalence decreased by 0.9% to 2.0% if the criteria required symptoms in 2 digits instead of 1.
There are meaningful differences in CTS prevalence when different EDS criteria are applied. The digital sensory latency criteria result in the largest variance in prevalence.
Details
- Title: Subtitle
- Effects of Varying Case Definition on Carpal Tunnel Syndrome Prevalence Estimates in a Pooled Cohort
- Creators
- Matthew S. Thiese - University of UtahFred Gerr - University of IowaKurt T. Hegmann - University of UtahCarisa Harris-Adamson - Samuel Merritt UniversityAnn Marie Dale - Washington University in St. LouisBradley Evanoff - Washington University in St. LouisEllen A. Eisen - University of California, BerkeleyJay Kapellusch - University of Wisconsin–MilwaukeeArun Garg - University of Wisconsin–MilwaukeeSusan Burt - National Institute for Occupational Safety and HealthStephen Bao - United States Department of StateBarbara Silverstein - United States Department of StateLinda Merlino - University of IowaDavid Rempel - University of California, San Francisco
- Resource Type
- Journal article
- Publication Details
- Archives of physical medicine and rehabilitation, Vol.95(12), pp.2320-2326
- DOI
- 10.1016/j.apmr.2014.08.004
- PMID
- 25175160
- PMCID
- PMC4342110
- NLM abbreviation
- Arch Phys Med Rehabil
- ISSN
- 0003-9993
- eISSN
- 1532-821X
- Publisher
- Elsevier Inc
- Grant note
- T42/CCT810426-10 / National Institute for Occupational Safety and Health Education and Research Center National Center for Research Resources (http://dx.doi.org/10.13039/100000097) R01-OH009712 / National Institute for Occupational Safety and Health (http://dx.doi.org/10.13039/100000125) UL1 RR024992 / National Institutes of Health (http://dx.doi.org/10.13039/100000002) National Institutes of Health Roadmap for Medical Research
- Language
- English
- Date published
- 12/2014
- Academic Unit
- Occupational and Environmental Health; Epidemiology
- Record Identifier
- 9984364415202771
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