Aim: This study analyzes the epidemiological distribution and the clinical-electric co-relation in carpal tunnel syndrome (CTS).
Methods:100 consecutive patients referred to our out-patient service for carpal tunnel syndrome were included in this study. The clinical examination of the stage of CTS and electrophysiological study (EPS) was conducted and the BCTQ questionnaire was administered with an average of 15 minutes for each. The link between the electrical stage and the total points of the questionnaire was analyzed by the Bivariate Correlation analysis by finding the Pearson coefficient and the level of significance according to the Two-Tailed test of significance.
Results: It was found that the female-male ratio was 3.5 to 1 with the predominance of the age 51-60 -year-old. 35% were overweight and 17% were obese. The first predominant symptoms were paresthesia, tingling sensation in their fingertips and pain, which prevailed at night. It was seen that the highest percentage was in those with not more than secondary education. There was no significant relation with family history and CTS. The most common comorbidities were arterial hypertension and rheumatoid arthritis. 43% were referred to the neurologist by the family doctor. In the bivariate analysis a statistically significant link was found with p<0.01 with positive correlation r=0.311for the right hand and p <0.01, r = 0.345 for the left hand.
Conclusions: There is still a considerable number of patients diagnosed at an advanced stage, with faded opportunity for maximal benefit from timely treatment. This syndrome is more frequent in women with BMI> 25 and in certain professions that request repetitive flexion of the grip. Family doctor should be more alert on diagnosing this common syndrome in an early stage.
2. Ridvan Alimehmeti, Florian Dashi, M Demneri, M. Petrela. Carpal tunnel syndrome. 06, november 2014. The BMJ.
3. Masatoshi Yunoki, Takahiro Kanda, Kenta Suzuki. Importance of recognizing carpal tunnel syndrome for neurosurgeons: A review. Tokyo: PubMed, 2017. 64
4. Cara McDonagh, Michael Alexander, David Kane. The role of ultrasaund in the diagnosis and management of carpal tunnel syndrome: A new paradigm. Oxfort : s.n., 2015. 54(1),9-19.
5. Finestone HM, Woodbury GM, Collavini T, Marchuk Y, Maryniak O. Severe carpal tunnel syndrome. clinical and electrodiagnostic outcome of surgical and conservative treatment. Muscle and Nerve, 19, 237–9.
6.American Association of Electrodiagnostic Medicine, American Academy of Neurology, American Academy of Physical Medicine and Rehabilitation. Practice parameter for electrodiagnostic studies in carpal tunnel syndrome: summary statement.Muscle Nerve 1993:16.
7. Kent and Canterbury Hosppital, Jeremy Blandm, John Wiley. A neurophysiological grading scale for carpal tunnel syndrome. England: Medline, PubMed, 2000, August. 1280-3.
8. Braun RM, Jackson WJ. Electrical studies as a prognostic factor in the surgical treatment of carpal tunnel syndrome. J. Hand Surgery. 9. Nathan PA, Meadows KD, Doyle LS. Relationship of age and sex to sensory conduction of the median nerve at the carpal tunnel and association of slowed conduction with symptoms. Muscle and Nerve. 1149-53.
10. Werner RA, et al. The relationship between body mass index and the diagnosis of carpal tunnel syndrome. s.l.: PubMed. 632-6. 11. Landau ME, et al., barner KC, Campbell WW. Effect of body mass index on ulnar nerve conduction velocity, ulnar neuropathy at the elbow and carpal tunnel syndrome. s.l: PubMed, 2005. 65
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