Skip to main content
Canadian Family Physician logoLink to Canadian Family Physician
. 2010 Jul;56(7):e250–e254.

Suspected carpal tunnel syndrome

Do nerve conduction study results and symptoms match?

Syndrome du tunnel carpien suspecté

Regina M Taylor-Gjevre 1,, John A Gjevre 1, Bindu Nair 1
PMCID: PMC2922827  PMID: 20631260

ABSTRACT

OBJECTIVE

To evaluate the diagnostic utility of nerve conduction studies (NCSs) by examining a population with a high pretest probability of carpal tunnel syndrome (CTS), including bilaterally and unilaterally symptomatic patients.

DESIGN

Comparison of the results of NCSs with the results of prospective, pre-NCS, self-administered questionnaires of patients with clinical diagnoses of CTS referred for confirmatory NCSs.

SETTING

A tertiary care hospital neuro-electrophysiology laboratory.

PARTICIPANTS

The study population consisted of 211 patients, 156 (73.9%) of whom were female. Population mean (range) age was 46.7 (21 to 88) years. Mean (range) symptom duration was 29.3 (1 to 300) months.

MAIN OUTCOME MEASURES

Patient-reported symptom localization and NCS results.

RESULTS

Results of NCSs were normal in 83 (39.3%) patients, were consistent with CTS in 121 (57.3%) patients, and suggested non-CTS abnormalities in 7 (3.3%) patients. Bilateral symptoms were reported by 139 (65.9%) patients, and isolated unilateral symptoms were reported by 72 (34.1%) patients. Those reporting bilateral symptoms had the highest agreement with NCS results at 38.8%. Unilateral NCS abnormalities were seen in 18.0% of those reporting bilateral hand symptoms. Discordant findings, either bilateral or opposite-side neuropathies, were seen in 25.6% of those reporting isolated right-sided symptoms, and in 55.2% of those reporting isolated left-sided symptoms. Based on these data the sensitivity of the NCS results was 49.1%, with a specificity of 62.5%. The positive predictive value was 86.4%, and the negative predictive value was 20.2%. Overall accuracy was 51.4%. Likelihood ratios were 1.3 with positive results, and 0.8 with negative results.

CONCLUSION

In our study population NCS results did little to alter the pretest probability of CTS. Physicians using NCSs for verification of clinical diagnosis should be aware of potential limitations.


Diagnosis of carpal tunnel syndrome (CTS) is based on the patient’s history, findings of a physical examination, and often electrodiagnostic testing. Unfortunately, diagnostic confirmation can be a clinical challenge. It is well recognized that physical examination maneuvers have limitations in sensitivity and specificity.16 Comparable sensitivity and specificity have been reported for use of the patient self-reported symptom hand diagram.7 Nerve conduction studies (NCSs) are often thought to provide desirable objective evidence of median mononeuropathy in the diagnosis of CTS. However, their utility as a diagnostic criterion standard has been called into question by several investigators.811

In this study, we wished to further evaluate the diagnostic utility of NCSs by examining the relationship between patient symptoms and electrophysiologic data. We studied a population with a high pretest probability of CTS who were referred for NCSs for diagnostic confirmation. This population consisted of both bilaterally symptomatic and unilaterally symptomatic patients. We compared the reported localization of symptoms and symptom-function severity scores with NCS results.

METHODS

This was a single-site, prospective study of patients who had been referred for NCSs during an 11-month period. Our NCS requisition form requires referring physicians to indicate specifically whether CTS is the clinical diagnosis. Patients whose requisitions indicated this to be so were invited to participate in this self-administered survey. Informed consent was obtained from all participants. Patients completed the questionnaire just before their scheduled NCSs. The questionnaire included demographic data, lateralization of symptoms, hand dominance, symptom duration, and the Levine CTS scoring instrument.12 All NCS results were interpreted by a qualified neurologist. The interpreting neurologist and the electrophysiology technologist conducting the NCSs were blinded to survey responses.

The Levine CTS scoring instrument is a self-administered instrument for measuring symptoms and function in CTS patients.12 It is a validated tool with excellent reproducibility, responsiveness, and internal consistency. Minimum and maximum cumulative symptom scores are 11 and 55, respectively; minimum and maximum cumulative function scores are 8 and 40, respectively. Higher scores are associated with greater severity of disease.

Our clinical neuro-electrodiagnostic laboratory employed the Nicolet Viking IVP for NCSs. Bilateral studies are the standard in our laboratory, regardless of whether patients report unilateral or bilateral symptoms. A positive NCS result for CTS was defined as demonstrating 1 or more of the following characteristics1315:

  • median motor nerve latency greater than 4.2 milliseconds,

  • median sensory nerve latency greater than 3.7 milliseconds,

  • orthodromic median palmar sensory nerve latency (8 cm) greater than 2.2 milliseconds, or

  • antedromic wrist to palm (7 cm) median sensory nerve distal latency (from wrist to digit 3 to palm to digit 3) greater than 2 milliseconds.

Statistical analyses were performed using the Statistical Package for the Social Sciences software (SPSS, version 12.0). Independent 2-tailed t tests were employed for 2-group comparisons of continuous data; χ2 testing was used to evaluate frequency data. Corrections for multiple testing were performed using the Bonferroni method.

The sample size was calculated based on an estimate from pilot data that 30% of patients would have unilateral symptoms. Therefore 15% of hands tested by NCS would be asymptomatic. The proportion of symptomatic hands expected to have positive NCS results was 0.5; the proportion of asymptomatic hands expected to have positive NCS results was 0.2.16 A 2-sided α was set at .01 and a β at .1. The calculation, allowing for an unequal allocation ratio, required a minimum of 141 patients, 44 with unilateral symptoms, and 97 with bilateral symptoms. A further allowance was added in anticipation of some patients failing to fully complete the questionnaire, resulting a target sample size of 200 patients for this study.17

Approval for this study was obtained from the University of Saskatchewan’s Behavioural Research Ethics Board.

RESULTS

We identified 240 patients undergoing NCS for assessment of median neuropathy at the carpal tunnel during the recruitment period and invited each of them to participate in the study. A total of 211 patients (156 women and 55 men) completed the questionnaire and gave consent for access to their medical records. Of these 211 patients, 187 (88.6%) had been referred by family physicians, and 24 (11.4%) by other specialists (neurologists, rheumatologists, or hand surgeons). Mean age was 46.4 years (range 21 to 88 years) for women and 44.9 years (range 23 to 83 years) for men. The right hand was dominant in 191 of 211 (90.5%) patients. Bilateral symptoms were reported by 139 (65.9%) patients, isolated right-hand symptoms by 43 (20.4%) patients, and isolated left-hand symptoms by 29 (13.7%) patients. The mean reported duration of symptoms was 29.3 months and the median duration was 14 months (range 1 to 300).

The NCS results were interpreted as normal for 83 (39.3%) patients, confirmed median mononeuropathy in 1 or both wrists for 121 (57.3%) patients, and were positive for non–median neuropathic abnormalities in 7 (3.3%) patients. For purposes of analysis, the 121 patients with electrophysiologic support for a diagnosis of CTS in 1 or both wrists were regarded as the positive group and the 90 patients with normal results or with non-median neuropathic abnormalities were regarded as the negative group. Comparisons of the characteristics between the groups with positive and negative NCS results are outlined in Table 1.

Table 1.

Comparison of groups with positive and negative NCS results

VARIABLE POSITIVE NCS RESULTS N = 121 NEGATIVE NCS RESULTS N = 90 PVALUE (2-TAILED) 95% CI
Mean (SD) age, y 49.08 (12.92) 43.54 (10.45) .001 −8.81 to −2.26
Male, % 27.3 24.4 .643 NC
Mean (SD) symptom duration, mo 33.07 (49.53) 24.21(25.63) .095 −19.26 to 1.55
Mean (SD) BMI 30.61 (6.82) 27.45 (5.5) < .001 −4.89 to −1.43
Mean (SD) Levine symptomatic score* 29.82 (7.46) 27.34 (7.01) .016 −4.50 to −0.47
Mean (SD) Levine functional score* 15.40 (5.52) 14.58 (4.87) .267 −2.27 to 0.63
Missed work, %(n = 29) 55.2 44.8 .855 NC
WCB cases, % (n = 13) 38.5 61.5 .215 NC

BMI—body mass index, CI—confidence interval, NC—not calculated, NCS—nerve conduction study, SD—standard deviation, WCB—Workers’ Compensation Board.

*

Minimum and maximum cumulative symptom scores on the Levine scoring instrument are 11 and 55, respectively; minimum and maximum cumulative function scores are 8 and 40, respectively. Higher scores are associated with greater severity of disease.

Not significant when corrected for multiple comparisons.

When we compared the lateralization of hand symptoms and NCS results, we saw that regardless of whether hand symptoms were unilateral or bilateral, between 31.0% and 44.2% of the NCS results were negative. The group reporting bilateral symptoms had the highest degree of agreement with the NCS results at 38.8%. Unilateral NCS abnormalities were seen in 18.0% of the patients reporting bilateral hand symptoms. Discordant findings, either bilateral median neuropathies or isolated opposite-side neuropathies were seen in 25.6% of those reporting isolated right-sided symptoms, and in 55.2% of those reporting isolated left-sided symptoms. Table 2 outlines the NCS results by symptom lateralization category and hand dominance.

Table 2.

Comparison of patient symptom lateralization and NCS results

PATIENT CHARACTERISTICS NCS RESULTS
BILATERAL POSITIVE N (%) ISOLATED RIGHT POSITIVE N (%) ISOLATED LEFT POSITIVE N (%) BILATERAL NEGATIVE N (%) OTHER NON-CTS ABNORMALITY N (%)
Lateralization of symptoms
  • Bilateral (n = 139) 54 (38.8) 15 (10.8) 10 (7.2) 55 (39.6) 5 (3.6)
  • Isolated right side (n = 43) 11 (25.6) 11 (25.6) 0 19 (44.2) 2 (4.7)
  • Isolated left side (n = 29) 13 (44.8) 3 (10.3) 4 (13.8) 9 (31.0) 0
  • Total (N = 211) 78 (37.0) 29 (13.7) 14 (6.6) 83 (39.3) 7 (3.3)
Hand dominance
  • Right (n = 191) 69 (36.1) 26 (13.6) 14 (7.3) 75 (39.3) 7 (3.7)
  • Left (n = 20) 9 (45.0) 3 (15.0) 0 8 (40.0) 0

CTS—carpal tunnel syndrome, NCS—nerve conduction study.

Examination of these data by individual hands is outlined in Table 3, where again symptoms are compared with NCS results. From these data, we see that the sensitivity of the NCS results was 49.1%, with a specificity of 62.5%. Given the origin of the patient population, we expected a high positive predictive value, which was found to be 86.4%. The negative predictive value was low at 20.2%. The overall accuracy of the NCS results in this population was 51.4%. The likelihood ratios are also close to 1 for both test results, at 1.3 with a positive result, and 0.8 with a negative result.

Table 3.

Comparison of symptomatic hand count with NCS results

NCS RESULTS SYMPTOMATIC HAND
TOTAL LIKELIHOOD RATIOS
YES NO
Positive 172 27 199 1.3
Negative 178 45 223 0.8
Total 350 72 422 NA

NA—not applicable, NCS—nerve conduction study.

DISCUSSION

In our study population, we found the overall accuracy of the NCS to be about 50% when comparing symptom lateralization with NCS results, with likelihood ratios close to 1 for both positive and negative results. These findings are consistent with previous population studies by Homan et al and Atroshi et al, and suggest that NCSs do little to alter the pretest probability of CTS in these patients.9,16 Further comparison between patients with positive and negative NCS results did not reveal any significant differences in symptomatic scores (P > .016, not significant when corrected for multiple comparisons), functional scores (P = .267), duration of symptoms (P = .095), missed work (P = .855), or sex (P = .643). In keeping with previous studies, those with positive NCS results were older and had higher body mass indexes than those with negative study results.18,19 What then is the appropriate application of NCS in the process of diagnostic confirmation or exclusion? Nerve conduction studies provide valuable information but should not be viewed as a diagnostic criterion standard, particularly if the clinician’s confidence is high for a diagnosis of CTS.

Limitations

This study has several potential limitations. The study population consisted of patients clinically diagnosed with CTS and generally referred by their family physicians for confirmatory NCS. It is possible that patients for whom a clinical diagnosis of CTS was made with a higher degree of confidence were not ever referred for NCS, thereby biasing the study sample, reducing the pretest probability, and limiting the generalizability of the observations. However, the percentage of positive NCS results was 57%, which is consistent with Atroshi’s observations from his wider population studies.16 It could also be argued that using patient symptoms as the standard by which to judge NCS results is problematic. However, these study patients are a select population with clinical diagnoses of CTS referred specifically for confirmatory NCS. Additionally, in the absence of an existing true objective criterion standard, patient symptoms and clinical diagnoses are the means by which medical and surgical treatment choices are made.20

Variation in the electrophysiologic criteria for median mononeuropathy might give rise to greater or lesser likelihood ratios. Our criteria were chosen to represent moderate, neither overly permissive nor restrictive, parameters of definition.

Another consideration with any study of a chronic process taken at a single time point is the possibility of future progression. Particularly in the population with unilateral symptoms and bilaterally positive NCS results, a preclinical CTS state could exist. Over time the symptoms might reach concordance with the NCS results in these patients. However, it should be observed that at the time of data collection, the mean symptom duration in our study population was longer than 2 years. Published follow-up studies of populations screened for CTS by Werner et al and Nathan et al have not shown conversion to a symptomatic state in most previously asymptomatic median mononeuropathies.21,22

Conclusion

In our study population, the NCS results did little to alter the pretest probability of CTS. These findings are consistent with previously published observations.11 Physicians using NCS to verify clinical diagnoses should be aware of potential limitations to such testing. Future development of NCSs incorporating a provocative component might improve objective identification of dynamic and functional CTS states.

EDITOR’S KEY POINTS

  • Although carpal tunnel syndrome is the most common compressive neuropathy, there is no clear-cut consensus on the best diagnostic criteria for it.

  • Nerve conduction study results do not substantially modify the pretest probability of carpal tunnel syndrome in patients referred for confirmatory studies.

POINTS DE REPÈRE DU RÉDACTEUR

  • Même si le syndrome du tunnel carpien est la neuropathie canalaire la plus frÉquente, on ne s’entend pas vraiment sur le meilleur critère permettant son diagnostic.

  • Les résultats des études de conduction nerveuse ne modifient pas beaucoup les probabilités d’un syndrome du tunnel carpien présentes avant le test chez les patients envoyés pour confirmation de diagnostic.

Footnotes

This article is eligible for Mainpro-M1 credits. To earn credits, go to www.cfp.ca and click on the Mainpro link.

This article has been peer reviewed.

Cet article a fait l’objet d’une révision par des pairs.

Contributors

Drs Taylor-Gjevre, Gjevre, and Nair contributed to concept and design of the study; data gathering, analysis, and interpretation; and preparing the manuscript for submission.

Competing interests

None declared

References

  • 1.Massy-Westropp N, Grimmer K, Bain G. A systematic review of the clinical diagnostic tests for carpal tunnel syndrome. J Hand Surg. 2000;25(1):120–7. doi: 10.1053/jhsu.2000.jhsu025a0120. [DOI] [PubMed] [Google Scholar]
  • 2.Katz JN, Larson MG, Sabra A, Krarup C, Stirrat CR, Sethi R, et al. The carpal tunnel syndrome: diagnostic utility of the history and physical examination findings. Ann Intern Med. 1990;112(5):321–7. doi: 10.7326/0003-4819-112-5-321. [DOI] [PubMed] [Google Scholar]
  • 3.Gellman H, Gelberman RH, Tan AM, Botte MJ. Carpal tunnel syndrome. An evaluation of the provocative diagnostic tests. J Bone Joint Surg Am. 1986;68(5):735–7. [PubMed] [Google Scholar]
  • 4.Stewart JD, Eisen A. Tinel’s sign and the carpal tunnel syndrome. BMJ. 1978;2(6145):1125–6. doi: 10.1136/bmj.2.6145.1125-a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.El Miedany Y, Ashour S, Youssef S, Mehanna A, Meky FA. Clinical diagnosis of carpal tunnel syndrome: old tests—new concepts. Joint Bone Spine. 2008;75(4):451–7. doi: 10.1016/j.jbspin.2007.09.014. Epub 2008 May 2. [DOI] [PubMed] [Google Scholar]
  • 6.Boland RA, Kiernan MC. Assessing the accuracy of a combination of clinical tests for identifying carpal tunnel syndrome. J Clin Neurosci. 2009;16(7):929–33. doi: 10.1016/j.jocn.2008.09.004. Epub 2009 Mar 27. [DOI] [PubMed] [Google Scholar]
  • 7.Katz JN, Stirrat CF, Larson MG, Fossel AH, Eaton HM, Liang MH. A self-administered hand symptom diagram for the diagnosis and epidemiologic study of carpal tunnel syndrome. J Rheumatol. 1990;17(11):1495–8. [PubMed] [Google Scholar]
  • 8.Concannon MJ, Gainor B, Petroski GF, Puckett CL. The predictive value of electrodiagnostic studies in carpal tunnel syndrome. Plast Reconstr Surg. 1997;100(6):1452–8. doi: 10.1097/00006534-199711000-00011. [DOI] [PubMed] [Google Scholar]
  • 9.Homan MM, Franzblau A, Werner RA, Albers JW, Armstrong TJ, Bromberg MB. Agreement between symptom surveys, physical examination procedures and electrodiagnostic findings for the carpal tunnel syndrome. Scand J Work Environ Health. 1999;25(2):115–24. doi: 10.5271/sjweh.413. [DOI] [PubMed] [Google Scholar]
  • 10.Franzblau A, Werner RA. What is carpal tunnel syndrome? JAMA. 1999;282(2):186–7. doi: 10.1001/jama.282.2.186. [DOI] [PubMed] [Google Scholar]
  • 11.Graham B. The value added by electrodiagnostic testing in the diagnosis of carpal tunnel syndrome. J Bone Joint Surg Am. 2008;90(12):2587–93. doi: 10.2106/JBJS.G.01362. [DOI] [PubMed] [Google Scholar]
  • 12.Levine DW, Simmons BP, Koris MJ, Daltroy LH, Hohl GG, Fossel AH, et al. A self-administered questionnaire for the assessment of severity of symptoms and functional status in carpal tunnel syndrome. J Bone Joint Surg Am. 1993;75(11):1585–92. doi: 10.2106/00004623-199311000-00002. [DOI] [PubMed] [Google Scholar]
  • 13.Stevens JC. AAEE minimonograph #26: the electrodiagnosis of carpal tunnel syndrome. Muscle Nerve. 1987;10(2):99–113. doi: 10.1002/mus.880100202. [DOI] [PubMed] [Google Scholar]
  • 14.Melvin JL, Schuchmann JA, Lanese RR. Diagnostic specificity of motor and sensory nerve conduction variables in the carpal tunnel syndrome. Arch Phys Med Rehabil. 1973;54(2):69–74. [PubMed] [Google Scholar]
  • 15.Kimura J. Electrodiagnosis in diseases of nerve and muscle: principles and practice. 3rd ed. New York, NY: Oxford University Press; 2001. Median nerve; pp. 719–24. [Google Scholar]
  • 16.Atroshi I, Gummesson C, Johnsson R, Ornstein E, Ranstam J, Rosén I. Prevalence of carpal tunnel syndrome in a general population. JAMA. 1999;282(2):153–8. doi: 10.1001/jama.282.2.153. [DOI] [PubMed] [Google Scholar]
  • 17.Campbell MJ, Julious SA, Altman DG. Estimating sample sizes for binary, ordered categorical and continuous outcomes in two group comparisons. BMJ. 1995;311(7013):1145–8. doi: 10.1136/bmj.311.7013.1145. Erratum in: BMJ 1996;312(7023):96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Ferry S, Hannaford P, Warskyj M, Lewis M, Croft P. Carpal tunnel syndrome: a nested case-control study of risk factors in women. Am J Epidemiol. 2000;151(6):566–74. doi: 10.1093/oxfordjournals.aje.a010244. [DOI] [PubMed] [Google Scholar]
  • 19.Vessey MP, Villard-Mackintosh L, Yeates D. Epidemiology of carpal tunnel syndrome in women of childbearing age. Findings in a large cohort study. Int J Epidemiol. 1990;19(3):655–9. doi: 10.1093/ije/19.3.655. [DOI] [PubMed] [Google Scholar]
  • 20.Taylor-Gjevre RM, Gjevre JA, Strueby L, Boyle CA, Nair B, Sibley JT. Treatments for carpal tunnel syndrome. Who does what, when … and why? Can Fam Physician. 2007;53:1186–90. [PMC free article] [PubMed] [Google Scholar]
  • 21.Werner RA, Franzblau A, Albers JW, Buchele H, Armstrong TJ. Use of screening nerve conduction studies for predicting future carpal tunnel syndrome. Occup Environ Med. 1997;54(2):96–100. doi: 10.1136/oem.54.2.96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Nathan PA, Keniston RC, Myers LD, Meadows KD, Lockwood RS. Natural history of median nerve sensory conduction in industry: relationship to symptoms and carpal tunnel syndrome in 558 hands over 11 years. Muscle Nerve. 1998;21(6):711–21. doi: 10.1002/(sici)1097-4598(199806)21:6<711::aid-mus2>3.0.co;2-a. [DOI] [PubMed] [Google Scholar]

Articles from Canadian Family Physician are provided here courtesy of College of Family Physicians of Canada

RESOURCES