Internal medicine journal · 2026
Key predictors of carpal tunnel syndrome: insights from a large electrophysiologically confirmed cohort.
СтатьяНазвание и аннотация: Перевод в очереди
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Koysuren Aydan, Osmanbeyoglu Aytekin, Duran Selcen, Celikbilek Asuman
Аннотация
OBJECTIVE: We evaluated the relationships between demographic, metabolic and biochemical risk factors and the presence, localisation and severity of carpal tunnel syndrome (CTS) in a large Turkish cohort.
METHODS: In total, 3144 participants were retrospectively included in this 2-year study. Among these, 1458 had an electrophysiologically confirmed diagnosis of CTS, while the remaining 1686 individuals served as the control group. Demographic characteristics, comorbidities and biochemical parameters were recorded for all participants. The CTS patients were further stratified by electrophysiological severity and the anatomical localisation of the involvement.
RESULTS: The median age (57 vs 48 years) and body mass index (BMI) (30.6 vs 27.9 kg/m2) were significantly higher in the CTS group. Regarding comorbidities, diabetes mellitus (DM), hypertension (HT) and hyperlipidemia were more frequent among CTS patients, with these differences persisting in severe cases. Furthermore, advanced age and the presence of DM and HT were more prevalent in the bilateral CTS subgroup. In a multivariate model, age and BMI remained independently associated with the presence of CTS.
CONCLUSIONS: Advanced age and high BMI were confirmed as independent predictors of CTS, whereas female sex was not. Furthermore, components of metabolic syndrome were the most common comorbidities identified in this Turkish cohort.
METHODS: In total, 3144 participants were retrospectively included in this 2-year study. Among these, 1458 had an electrophysiologically confirmed diagnosis of CTS, while the remaining 1686 individuals served as the control group. Demographic characteristics, comorbidities and biochemical parameters were recorded for all participants. The CTS patients were further stratified by electrophysiological severity and the anatomical localisation of the involvement.
RESULTS: The median age (57 vs 48 years) and body mass index (BMI) (30.6 vs 27.9 kg/m2) were significantly higher in the CTS group. Regarding comorbidities, diabetes mellitus (DM), hypertension (HT) and hyperlipidemia were more frequent among CTS patients, with these differences persisting in severe cases. Furthermore, advanced age and the presence of DM and HT were more prevalent in the bilateral CTS subgroup. In a multivariate model, age and BMI remained independently associated with the presence of CTS.
CONCLUSIONS: Advanced age and high BMI were confirmed as independent predictors of CTS, whereas female sex was not. Furthermore, components of metabolic syndrome were the most common comorbidities identified in this Turkish cohort.