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. Author manuscript; available in PMC: 2015 Feb 26.
Published in final edited form as: Arch Phys Med Rehabil. 2014 Aug 28;95(12):2320–2326. doi: 10.1016/j.apmr.2014.08.004

Effects of Varying Case Definition on Carpal Tunnel Syndrome Prevalence Estimates in a Pooled Cohort

Matthew S Thiese a, Fred Gerr b, Kurt T Hegmann a, Carisa Harris-Adamson c, Ann Marie Dale d, Bradley Evanoff d, Ellen A Eisen e, Jay Kapellusch f, Arun Garg f, Susan Burt g, Stephen Bao h, Barbara Silverstein h, Linda Merlino b, David Rempel i
PMCID: PMC4342110  NIHMSID: NIHMS646622  PMID: 25175160

Abstract

Objective

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.

Design

Pooled data from 5 prospective cohorts.

Setting

Hand-intensive industrial settings, including manufacturing, assembly, production, service, construction, and health care.

Participants

Employed, working-age participants who are able to provide consent and undergo EDS testing (N=3130).

Interventions

None.

Main Outcome Measures

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.

Results

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.

Conclusions

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.

Keywords: Carpal tunnel syndrome, Diagnostic techniques and procedures, Electrodiagnosis, Prevalence, Rehabilitation, Standards


Carpal tunnel syndrome (CTS) is a common and costly musculoskeletal disorder with annual U.S. costs estimated at $2 billion.1 Prevalence has been estimated at 1.5% to 5.8% in the general population, with higher prevalence rates in specific sub-populations.27

The case definition of CTS used in epidemiologic research often includes documentation of dysesthesias in the median nerve distribution of the hand and electrodiagnostic study (EDS) results consistent with median nerve mononeuropathy at the wrist.8 Clinical studies often rely on similar criteria, but they may also use a more detailed medical history, presence of nocturnal symptoms, and additional diagnostic maneuvers. However, diagnostic maneuvers (eg, Phalen or Hoffman-Tinel test) contribute relatively little to the predictive value.912

Prior studies have used a variety of criteria for evaluating the slowing of median nerve conduction results consistent with CTS.1324 Nerve conduction outcomes are a continuous measure reported as either latency (ms) or velocity (m/s). Therefore, when using nerve conduction outcomes to distinguish results that are consistent with CTS from those that are not, investigators must select a cutpoint or threshold at which to dichotomize the distributions. Such values have ranged from 3.4 to 4.0 milliseconds for median sensory nerve latencies, 4.0 to 4.6 milliseconds for median motor nerve latencies, and 0.3 to 1.0 millisecond for the median-ulnar nerve sensory latency difference (transcarpal delta).2,21,2533 There appears to be no consensus on optimal EDS criteria for CTS in either epidemiologic or clinical settings. Research is also relatively sparse regarding the impacts of varying EDS criteria on observed disease prevalence.1719,31,3438

The purpose of this study was to evaluate the effect of a range of EDS criteria in combination with 2 symptom criteria on observed CTS prevalence in a large population of workers from a wide range of industries and across multiple regions of the United States.

Methods

Study design

Data from 5 prospective cohort studies that used comparable methods and have been previously described were pooled for the current analyses.37,3943 In short, all studies were prospective cohort studies enrolling workers in a variety of industrial settings. The common objective of these studies was to quantify relationships between EDS factors and two case definitions of CTS. These analyses are of cross-sectional baseline symptoms data and dominant hand EDS measures in all participants, regardless of symptomology. All primary data were available and used; therefore, this is a pooled analysis of original data, not a meta-analysis of published mean values. Institutional review boards approved each of the 5 individual studies, and written consent was obtained from all study participants prior to their enrollment and participation.

Participants

Study participants were ≥18 years old, able to provide consent, and currently employed in a broad variety of industrial settings in which the enrolled workers performed a wide range of hand-intensive activities. Industrial settings included manufacturing, production, service, construction, and health care. Data collection for these studies’ baseline enrollments were conducted from 2001 to 2006. A total of 4321 subjects were enrolled.

All studies were approved by the appropriate institutional review board and were performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and all subsequent amendments. All participants provided informed consent prior to participation.

Baseline questionnaires collected information on demographics, medical history, psychosocial factors, work history, and musculoskeletal symptoms. EDSs of the median motor nerve and median sensory nerve and the ipsilateral ulnar sensory nerve across the wrist were collected in the dominant hand on all participants regardless of symptoms at the time of enrollment.

Participants were excluded from these analyses if they were missing baseline symptoms or had invalid EDS latency results (n=856, 19.4%).

Symptoms data collection

Most participants had symptoms recorded by digit in the first (thumb), second (index finger), third (middle finger), and fourth (ring finger) digits. Symptoms in the fifth digit were not used in these analyses. In 2 studies, a hand symptom diagram was used to collect symptom location and characteristics in all but the fourth digit (eg, tingling, numbness, pain).44 In the remaining 4 studies, symptoms were recorded during standard interviews conducted by a medical professional. For the purpose of the current analyses, 2 symptom criteria were applied separately: tingling, numbness, burning, or pain in ≥1 median innervated digit (thumb, index, middle, ring), and these symptoms in ≥2 median innervated digits.

EDS measures

All study sites collected 3 measures often used to characterize median nerve function at the wrist: median sensory nerve latency, median motor nerve latency, and the difference between the median and ulnar nerve sensory latencies across the wrist (transcarpal delta). All sensory latencies were peak measures, and all motor latencies were onset measures. All EDSs were performed unilaterally on the dominant hands. Three study groups used conventional clinical electrophysiology/electromyography equipment (XLTEK NeuroMax 1002,a Cadwell 6200A,b Teca Synergy N2c), and 2 studies used a portable nerve testing device (NC-statd). The NC-stat has preconfigured sensors on the electrodes to accommodate different hand dimensions. The specific model numbers used were NC-S51, NC-S52, and NC-S53 for small, medium, and large median motor and sensory latencies and NC-S61 and NC-S62 for right and left ulnar motor and sensory latencies, respectively. Each sensor has anatomic locations to facilitate ease of use, and strict cleaning procedure was followed per the manufacturer’s recommendations. The NC-stat has demonstrated agreement with conventional EDS devices for measures of median motor and sensory nerve latencies.4550 EDSs were performed according to standard electrodiagnostic testing protocols.14 Stratified analyses comparing distributions of symptoms and EDS criteria by study showed no statistically significant differences between electro-diagnostic testing devices across the 5 studies; therefore, all data were pooled into a single dataset for analyses.

Most sensory latency values were measured at the standard distance of 14cm; however, some hands were too small. If not measured at 14cm, they were standardized to a 14-cm distance. No motor latencies were corrected. All median sensory measures were antidromic. Skin temperature was measured prior to testing, and hands were warmed to a minimum skin temperature of 30°C to 32°C by 4 of the 5 study groups included in the analyses. Regression analyses were used to adjust latency values to a standard temperature of 32°C as described in a prior publication.39 Nominal changes were observed when temperature correction was applied.

CTS case definitions

An analysis was conducted by calculating the prevalence of CTS over a range of EDS threshold (ie, cutoff) values in combination with each of the 2 symptom-based criteria: symptoms in ≥1 digits and symptoms in ≥2 digits. Only 1 of the 3 EDS measures was varied at the time, while the others were held constant at an a priori selected reference value. For example, median sensory and median motor latencies were held at 3.7 and 4.5 milliseconds, respectively, whereas the transcarpal delta varied from 0.4 to 1.2 milliseconds, in 0.1-millisecond increments. Consequently, a set of 6 analyses were conducted (ie, 3 EDS criteria by 2 symptom criteria). The reference values used for these calculations were 3.7 milliseconds for median sensory latency, 4.5 milliseconds for median motor latency, and 0.8 millisecond for transcarpal delta latency. These reference values were selected based on criteria commonly used in prior publications.

For the analyses, median sensory latency, median motor latency, and transcarpal delta latency thresholds were each varied separately in 0.1-millisecond intervals up to 0.4 millisecond above and below the reference values, for a total of 9 threshold values each. For example, given the reference value of 3.7 milliseconds for the median sensory latency, the prevalence of CTS was estimated for median sensory latency values ranging from 3.3 to 4.1 milliseconds, in 0.1-millisecond intervals, for each of the 2 symptom-based criteria while holding the reference values for motor latency at 4.5 milliseconds and the transcarpal delta latency at 0.8 millisecond. Similarly, median motor nerve latency values were varied from 4.1 to 4.9 milliseconds, and transcarpal delta latency values were varied from 0.4 to 1.2 milliseconds.

The CTS case definitions used symptoms (eg, numbness, tingling, burning, pain) in either ≥1 or ≥2 digits innervated by the median nerve and the specific EDS criteria previously described. CTS prevalence was also calculated based on EDS criteria used in prior studies to allow for comparison.1324

Results

Data from a total of 3130 participants were included in these pooled analyses. Demographic characteristics of the pooled sample are provided in table 1. Both sexes were well represented (women: n=1523, 48.7%), and the mean body mass index (28.5kg/m2) indicates that a large proportion of participants were overweight or obese. Approximately half (50.3%) were lifelong nonsmokers. Relatively few, 115 (3.7%) and 156 (5.0%), had physician-diagnosed diabetes mellitus or thyroid disorder, respectively.

Table 1.

Demographic data for the sample of 3061 participants

Characteristic Value
Age (y) 37.5±11.9
Female 1523 (48.7)
Body mass index (kg/m2) 28.5±6.3
Diabetes mellitus 115 (3.7)
Thyroid disorder 156 (5.0)
Smoking
 Current 956 (30.7)
 Past 601 (19.3)
 Never 1573 (50.3)
Median sensory latency (ms) 3.48±0.64
Median motor latency (ms) 3.86±0.75
Transcarpal delta (ms) 0.42±0.49

NOTE. Values are mean ± SD or n (%).

The estimated prevalence of CTS for each of the 6 analyses is reported in figure 1 and ranged from 6.3% to 11.7%. As expected, the lowest cutpoint values for sensory latency, motor latency, and transcarpal delta each yielded the highest number of observed cases. Substantial differences in prevalence were observed as each cutpoint value was increased. The largest change in relative prevalence occurred when varying the sensory latency, whereas the smallest change in relative prevalence occurred when varying the motor latency. As expected, the observed CTS prevalence for symptoms in ≥1 digit was between 0.9% and 2.0% higher than the prevalence requiring symptoms in ≥2 digits.

Fig. 1.

Fig. 1

Prevalence of CTS in a pooled working population when varying the EDS criteria of sensory latency, motor latency or transcarpal delta by 0.1 millisecond. The reference values for sensory were 3.7 milliseconds, motor 4.5 milliseconds, and transcarpal delta 0.8 millisecond.

In addition, prior published criteria for EDS thresholds consistent with CTS were applied to the pooled data sample of the current study to calculate CTS prevalence (table 2). The prevalence rates ranged nearly 2-fold, from 5.9% to 11.6%, depending on the EDS criteria and symptom definition used (eg, ≥1 digit or ≥2 digits).

Table 2.

CTS prevalence estimates using the study’s pooled data based on previously published EDS criteria

Previously Published EDS Criteria
Prevalence in Pooled Study
Study Median Sensory Latency (ms) Median Motor Latency (ms) Transcarpal Delta (ms) Symptoms in ≥1 Digit (%) Symptoms in ≥2 Digits (%)
Uncini et al13 * 4.2 0.5 8.91 7.64
Charles et al16 * 4.5 0.5 8.21 7.09
Seror17 3.4 4.0 0.4 11.60 9.65
Stevens18 3.5 4.6 0.3 11.21 9.46
Jablecki et al14 3.4 4.1 * 10.89 9.11
Wong et al19 * 4.0 0.5 9.58 8.15
Wong et al20 * 4.0 0.4 10.03 8.50
Kimura et al24 3.5 4.5 * 9.52 8.24
Salerno et al21 4.0 * 0.8 6.55 5.88
Makanji et al22 3.6 4.4 * 9.04 7.83
Werner et al15 * * 0.5 7.60 6.58
Armstrong et al23 3.4 4.4 0.7 10.83 9.07
*

No cutpoint listed for this criterion.

Lowest criterion.

Highest criterion.

For reference purposes, the prevalence rates were also calculated using only 1 EDS measure instead of all 3 (eg, sensory, motor, transcarpal delta) (table 3). The prevalence rates are therefore lower than in figure 1.

Table 3.

Prevalence of CTS based on individual EDS criterion applied to these pooled data

Latency No Symptoms Symptoms in ≥1 Digit Symptoms in ≥2 Digits
Sensory latency
 3.3ms 1365 (43.6) 364 (11.6) 302 (9.7)
 3.4ms 1153 (36.8) 332 (10.6) 280 (9.0)
 3.5ms 946 (30.2) 295 (9.4) 257 (8.2)
 3.6ms 787 (25.1) 275 (8.8) 240 (7.7)
 3.7ms 636 (20.3) 255 (8.2) 222 (7.1)
 3.8ms 525 (16.8) 217 (6.9) 195 (6.2)
 3.9ms 419 (13.4) 197 (6.3) 179 (5.7)
 4.0ms 349 (11.2) 182 (5.8) 167 (5.3)
 4.1ms 280 (9.0) 166 (5.3) 154 (4.9)
Motor latency
 4.1ms 714 (22.8) 219 (7.0) 188 (6.0)
 4.2ms 588 (18.8) 193 (6.2) 169 (5.4)
 4.3ms 515 (16.5) 183 (5.9) 162 (5.2)
 4.4ms 408 (13.0) 156 (5.0) 140 (4.5)
 4.5ms 344 (11.0) 140 (4.5) 125 (4.0)
 4.6ms 293 (9.4) 127 (4.1) 113 (3.6)
 4.7ms 261 (8.3) 116 (3.7) 106 (3.4)
 4.8ms 221 (7.1) 105 (3.4) 96 (3.1)
 4.9ms 176 (5.6) 92 (2.9) 84 (2.7)
Transcarpal delta
 0.4ms 761 (24.3) 265 (8.5) 229 (7.3)
 0.5ms 571 (18.2) 238 (7.6) 206 (6.6)
 0.6ms 468 (15.0) 210 (6.7) 181 (5.8)
 0.7ms 374 (12.0) 182 (5.8) 161 (5.1)
 0.8ms 302 (9.7) 171 (5.5) 151 (4.8)
 0.9ms 239 (7.6) 148 (4.7) 134 (4.3)
 1.0ms 205 (6.6) 128 (4.1) 117 (3.7)
 1.1ms 174 (5.6) 113 (3.6) 104 (3.3)
 1.2ms 147 (4.7) 99 (3.2) 91 (2.9)

NOTE. Values are n (%).

Discussion

These results suggest that varying the threshold of the median motor nerve latency or the transcarpal delta latency has less effect, per millisecond of change, on observed CTS prevalence than varying the threshold of the median sensory nerve latency. In this population of industrial workers, changes to the median sensory nerve latency criterion has more than 3-fold greater impact on the observed CTS prevalence than changes to either the median motor nerve latency or transcarpal delta latency. The effects of changing the cutpoints in this study were also not linear. The largest effects were observed over changes to the lower cutpoint values.

Although it is known qualitatively that changes in EDS cut-points will result in changes in the observed prevalence of CTS, our study findings quantify these effects across a range of values for 3 common EDS metrics in a large and representative sample. To our knowledge, these effects have not been quantified before. These results help to illuminate the extent to which the variability of CTS prevalence reported in the published literature may be solely attributed to differences in CTS case definition criteria.

The estimated prevalence of CTS decreased by between 0.9% and 2.0% when comparing the symptom criterion from paresthesias or pain in ≥1 digits with paresthesias or pain in ≥2 digits, regardless of the EDS criteria used. Few studies evaluating CTS provide sufficient description of case definitions to allow for differentiation between symptoms in ≥1 and ≥2 median nerve–served digits. Most published case definitions of CTS in peer-reviewed research rely on combinations of symptoms in ≥1 of multiple areas, including the fifth digit (not normally innervated by the median sensory nerve) and the hand and wrist.5153

Analysis of a subset of data where sites reported pain or burning independently of numbness or tingling was performed to evaluate differences in estimated prevalence when including pain or burning as a symptom criteria. When using numbness or tingling in the median nerve–served digits alone, there was a reduction of prevalence by 11.5% to 8.7%. Of the prevalent cases in the subset analysis, 2.8% were symptomatic for pain or burning and did not report numbness or tingling in the median nerve–served digits. Therefore, these data suggest that when restricting the case definition to numbness or tingling symptoms, prevalence will decrease by approximately 25%.

A study of 1646 hands of 824 workers reported a prevalence of abnormal EDSs of 12.2% when applying a transcarpal delta value of 0.5 millisecond and 5.1% for a transcarpal delta value of 0.8 millisecond.54 When combined with any symptoms of the wrist, hands, or digits on 3 occasions over the last year, the prevalence for a transcarpal delta of 0.5 millisecond was reduced from 12.2% to 6.7%. A study of 1079 dentists used case definitions with a threshold for the transcarpal delta of 0.5 or 0.8 millisecond in combination with a median sensory latency >3.7 milliseconds and reported abnormal EDS prevalence of 13.0% and 6.7%, respectively.55 When abnormal EDS findings were combined with any symptom in the hand or digits, the reported prevalence rates were 4.8% and 2.9%, respectively. These are lower prevalence values than observed in our study, likely because the subjects of our study performed hand-intensive work, were more obese, and were at a higher risk than dentists for CTS. However, the difference in prevalence of 1.9% (4.8%–2.9%) between the transcarpal delta thresholds of 0.5 and 0.8 millisecond is similar to the differences of 1.9% (symptoms in ≥1 digit) and 1.8% (symptoms in ≥2 digits) observed in our study.

There were large differences in observed prevalence across the EDS criteria used in this study. The difference in prevalence, when varying the sensory latency from 3.3 to 4.1 milliseconds, may have a substantial impact on researchers’ abilities to accurately differentiate relations within studies evaluating potential risk factors or treatments for CTS. Selection of EDS criteria with maximum specificity to accurately diagnose true cases while not sacrificing sensitivity is needed. Strict EDS criteria would lead to lower prevalence estimates but may yield more accurate measures of disease than if less stringent EDS criteria were used. Conversely, less stringent EDS criteria will increase case numbers and study power but may lead to more false-positive cases and case misclassification and therefore may result in erroneous conclusions. This difference may partially explain different findings in studies evaluating risk factors for CTS.2 There also exists the possibility of directional misclassification in either direction, dependent on the criteria and symptoms, therefore allowing for bias. Careful, a priori consideration of the appropriate cutpoints to use, which balance sensitivity and specificity, may have a meaningful impact on study findings.

Additionally, there are meaningful implications regarding prevalence measures of CTS. Differences in EDS criteria and the resulting prevalence may have a meaningful impact on the proportion of those with a positive test result who are truly positive (positive predictive value), the proportion of those with a negative test result who are truly negative (negative predictive value), and the number needed to treat. Other authors have hypothesized that there may be a meaningful difference in case counts depending on the EDS criteria used. Werner and Andary34 discuss the potential impact of varying EDS criteria. These data quantify these differences in a large population of workers and allow for more direct comparisons between prior published studies.

Much of the literature has focused on the discussion relating to transcarpal delta measurements for the removal of potential intrapersonal variation by using an internal comparison between the median and ulnar nerve. The abnormal classification threshold for this value has increased over time from 0.3 millisecond in the 1980s, to 0.4 and 0.5 millisecond in the 1990s, to as high as 1.0 millisecond for patients who are mildly diabetic.18,21,2533,56 Although the transcarpal delta is an important measure in the diagnosis of CTS, additional EDS measures have not received the same level of consideration in the literature. These data support further scrutiny of the sensory latency criterion, in addition to the transcarpal delta criterion, relating to clinical manifestation of symptoms in both ≥1 and ≥2 median nerve–served digits.

Study limitations

Differences in symptomology between studies blur the potential relation between EDS criteria and the CTS case definition. Some studies include symptoms only in digits 1 through 3, whereas others rely on digits 1 through 4. When restricting these data to digits 1 through 3, there were no meaningful differences in trends (data not shown); however, prevalence measures were uniformly slightly lower. Differentiation between symptom criteria of digits 1 through 3 compared with digits 1 through 4 in future studies may further illustrate relations between EDS criteria and the CTS case definition.

Future research in this field will help to clarify the impacts of the CTS case definition on prevalence estimates in other populations and the impacts of these differences on CTS incidence. Although these data suggest that changing the cutpoint for motor latency or the transcarpal delta has relatively little effect on prevalence estimates, this may not be true in all populations and remains to be replicated. In these data there are multiple factors that have a relatively large impact on CTS prevalence estimates. These factors include the number of symptomatic digits and sensory latency cutpoint values used for CTS case definition. These differences are yet to be evaluated in incidence cases from prospective data.

Conclusions

There were meaningful differences in observed CTS prevalence in a pooled cohort of working individuals over a range of commonly used values to classify EDS as consistent with CTS. The effects on estimated CTS prevalence were greatest for the median sensory latency when compared with the median motor latency or trans-carpal delta. These results allow readers to quantify at least some of the variance observed in published studies of CTS prevalence.

Acknowledgments

Supported by the National Institute for Occupational Safety and Health (grant no. R01-OH009712); National Institute for Occupational Safety and Health Education and Research Center (training grant no. T42/CCT810426-10); National Center for Research Resources, a component of the National Institutes of Health; and National Institutes of Health Roadmap for Medical Research (grant no. UL1 RR024992).

We thank the dozens of technicians, assistants, and other research personnel from the research study groups for their many years of work that made the collection of the data for this article possible.

List of abbreviations

CTS

carpal tunnel syndrome

EDS

electrodiagnostic study

Footnotes

a

XLTEK NeuroMax 1002; Natus Medical Incorporated, 5900 First Ave S, Seattle, WA 98108.

b

Cadwell 6200A; Cadwell Laboratories, Inc, 909 N Kellogg, Kennewick, WA 99336.

c

Teca Synergy N2; Oxford Instruments, 12 Skyline Dr, Ste 230, Hawthorne, NY 10532-2133.

d

NC-stat; NeuroMetrix, Inc, 62 4th Ave, Waltham, MA 02451.

The article’s contents are solely the responsibility of the authors and do not necessarily represent the official view of the National Institute for Occupational Safety and Health, National Center for Research Resources, or National Institutes of Health.

Disclosures: Two of the sites involved in this consortium had electrodiagnostic supplies donated by Neurometrix. There are no other disclosures.

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