Development of a clinical prediction rule for the diagnosis of cubital tunnel syndrome in Thai wheelchair users
Creators: name: Kitisak, Kittipong
name: Tongprasert, Siam
name: Luengutaisilp, Niracha
name: Phinyo, Phichayut
name: Atthakomol, Pichitchai
name: Nantasukasem, Kulanan
name: Buntragulpoontawee, Montana
Publisher: name: Taylor & Francis
Year: 2025
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Hematology

description: To develop and internally validate a clinical prediction rule (CPR) for diagnosing cubital tunnel syndrome (CuTS) in wheelchair users. To the authors’ knowledge, no prior diagnostic CPR for CuTS was developed. Participants were wheelchair users with spinal cord injuries/lesions aged ≥20 years. All underwent clinical examinations and electrodiagnostic studies. Clinical endpoint was a confirmed CuTS diagnosis; clinical symptoms and positive electrodiagnostic criteria. The CPR was developed using multivariable logistic regression with backward elimination. Coefficients of the selected predictors were converted into scores by division of the lowest coefficient and then rounded off to the closest integer. Internal validation was performed using bootstrap technique. The model’s discriminative ability and calibration performance were evaluated. Seventy-seven wheelchair users (142 arms) were included, 28(19.7%) arms had CuTS. Multivariable analysis identified three statistically significant predictors for the final diagnostic model: numbness or tingling in the fourth (ulnar half) and fifth fingers, grip weakness and a positive elbow flexion test; "The CuTS-3 Diagnostic Score" (CuTS-3). The CuTS-3 demonstrated good discriminative ability; area under the receiver operating characteristic (AuROC) = 0.88 (95%CI: 0.82–0.95) and calibration. The bootstrap performance adjusted for the estimated optimism for the clinical endpoint was 0.869 (95%CI 0.797–0.946). A cut-off score of ≥2 was suggested for diagnosis as it showed good sensitivity (89.3%) and specificity (78.1%). The CuTS-3 is a simple and well-performing diagnostic CPR. General clinical use is encouraged to help detecting and providing timely CuTS management. In the future, the model would benefit from external validation in different population. The CuTS-3 was developed specifically for wheelchair users with good discriminative ability and calibration performance.The CuTS-3 can be applied in routine clinical settings regardless of the clinical expertise level, as it contains only three simple predictors.The CuTS-3 score results can also be applied for guiding management decision.The CuTS-3 could be included in a long-term follow-up program for early intervention to prevent further disabilities in wheelchair users. The CuTS-3 was developed specifically for wheelchair users with good discriminative ability and calibration performance. The CuTS-3 can be applied in routine clinical settings regardless of the clinical expertise level, as it contains only three simple predictors. The CuTS-3 score results can also be applied for guiding management decision. The CuTS-3 could be included in a long-term follow-up program for early intervention to prevent further disabilities in wheelchair users.