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Establishing the predictive validity and determining cutoff values of the capabilities of upper extremity test for predicting activities of daily living independence in cervical spinal cord injury

Abstract

Study design

Retrospective observational study.

Objectives

The Capabilities of the Upper Extremity Test (CUE-T) is a tool that assesses upper limb function in detail among individuals with cervical spinal cord injury (CSCI). We aimed to evaluate the predictive validity of the CUE-T for independence in activities of daily living (ADL) at discharge.

Setting

Spinal cord injury rehabilitation center in Chiba, Japan.

Methods

The cutoff value for independence in ADL (six self-care items of the spinal cord independence measure III [SCIM Ⅲ]) at the time of discharge from a rehabilitation center was calculated based on the results of the CUE-T conducted within 3 months of injury for individuals with CSCI. We defined a SCIM item score of ≤ 1 as dependence and ≥ 2 as independence. Analyses were performed using a receiver operating characteristic curve; the cutoff value was calculated using the Youden index. Bootstrapping was used for internal validation.

Results

Data were collected from 44 individuals with CSCI (median age: 59.0 [interquartile range, 50.8–67.3] years; men: 38, women: 6; American Spinal Injury Association Impairment Scale A/B: 7; C/D: 37). The cutoff values for the SCIM III self-care items ranged from 13–61 points. All area under the curves were 0.8 or greater, which was similar to the results obtained using bootstrapping.

Conclusions

The CUE-T cutoff values calculated in this study showed good predictive ability and reproducibility and were clinically useful. These results demonstrate the high predictive validity of the CUE-T.

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Fig. 1: Flow diagram of the study sample.
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Fig. 2: ROC curve for each activity.
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Data availability

The data generated and/or analyzed during this study are not publicly available owing to the lack of participant consent for public sharing. However, these data may be made available by the corresponding author upon request.

References

  1. Lu Y, Shang Z, Zhang W, Pang M, Hu X, Dai Y, et al. Global incidence and characteristics of spinal cord injury since 2000–2021: a systematic review and meta-analysis. BMC Med. 2024;22:285.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Miyakoshi N, Suda K, Kudo D, Sakai H, Nakagawa Y, Mikami Y, et al. A nationwide survey on the incidence and characteristics of traumatic spinal cord injury in Japan in 2018. Spinal Cord. 2021;59:626–34.

    Article  PubMed  Google Scholar 

  3. Anderson KIMD. Targeting recovery: priorities of the spinal cord-injured population. J Neurotrauma. 2004;21:1371–83.

    Article  PubMed  Google Scholar 

  4. Simpson LA, Eng JJ, Hsieh JTC, Wolfe DL. The health and life priorities of individuals with spinal cord injury: a systematic review. J Neurotrauma. 2012;29:1548–55.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Kirshblum S, Snider B, Eren F, Guest J. Characterizing natural recovery after traumatic spinal cord injury. J Neurotrauma. 2021;38:1267–84.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Javeed S, Greenberg JK, Zhang JK, Dibble CF, Khalifeh JM, Liu Y, et al. Derivation and validation of a clinical prediction rule for upper limb functional outcomes after traumatic cervical spinal cord injury. JAMA Netw open. 2022;5:E2247949.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Van Middendorp JJ, Hosman AJ, Donders ART, Pouw MH, Ditunno JF, Curt A, et al. A clinical prediction rule for ambulation outcomes after traumatic spinal cord injury: A longitudinal cohort study. Lancet. 2011;377:1004–10.

    Article  PubMed  Google Scholar 

  8. Hasegawa T, Uchiyama Y, Uemura K, Harada Y, Sugiyama M, Tanaka H. Physical impairment and walking function required for community ambulation in patients with cervical incomplete spinal cord injury. Spinal Cord. 2014;52:396–9.

    Article  CAS  PubMed  Google Scholar 

  9. Jones LAT, Bryden A, Wheeler TL, Tansey KE, Anderson KD, Beattie MS, et al. Considerations and recommendations for selection and utilization of upper extremity clinical outcome assessments in human spinal cord injury trials. Spinal Cord. 2018;56:414–25.

    Article  PubMed  Google Scholar 

  10. Marino RJ, Sinko R, Bryden A, Backus D, Chen D, Nemunaitis GA, et al. Comparison of responsiveness and minimal clinically important difference of the capabilities of upper extremity test (CUE-T) and the graded redefined assessment of strength, sensibility and prehension (GRASSP). Top Spinal Cord Inj Rehabil. 2018;24:227–38.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Marino RJ, Kern SB, Leiby B, Schmidt-Read M, Mulcahey MJ. Reliability and validity of the capabilities of upper extremity test (CUE-T) in subjects with chronic spinal cord injury. J Spinal Cord Med. 2015;38:498–504.

    Article  PubMed  Google Scholar 

  12. Jimbo K, Miyata K, Yuine H, Takahama K, Yoshimura T, Shiba H, et al. Verification of the minimal clinically important difference of the capabilities of upper extremity test in patients with subacute spinal cord injury. J Spinal Cord Med. 2023;48:613–20.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Mokkink LB, Terwee CB, Patrick DL, Alonso J, Stratford PW, Knol DL, et al. The COSMIN checklist for assessing the methodological quality of studies on measurement properties of health status measurement instruments: an international Delphi study. Qual Life Res. 2010;19:539–49.

    Article  PubMed  PubMed Central  Google Scholar 

  14. American Spinal Injury Association (ASIA): International Standards for Neurological Classification of SCI (ISNCSCI) Worksheet. 2026. https://asia-spinalinjury.org/international-standards-neurological-classification-sci-isncsci-worksheet/.

  15. Marino RJ, Patrick M, Albright W, Leiby BE, Mulcahey M, Schmidt-Read M, et al. Development of an objective test of upper-limb function in tetraplegia: the capabilities of upper extremity test. Am J Phys Med Rehabil. 2012;91:478–86.

    Article  PubMed  Google Scholar 

  16. Thomas Jefferson University: CUE-T Manual, Japanese Version. 2025. https://www.jefferson.edu/content/dam/academic/rehabilitation-sciences/com/cue-t/1update_cue_t_manual2016_v1.1_publicversion_2018_Japanese%20%20version2.pdf.

  17. Catz A, Itzkovich M, Tesio L, Biering-Sorensen F, Weeks C, Laramee MT, et al. A multicenter international study on the spinal cord independence measure, version III: Rasch psychometric validation. Spinal Cord. 2007;45:275–91.

    Article  CAS  PubMed  Google Scholar 

  18. Obuchowski NA, Lieber ML, Wians FH. ROC curves in clinical chemistry: uses, misuses, and possible solutions. Clin Chem. 2004;50:1118–25.

    Article  CAS  PubMed  Google Scholar 

  19. Becker S, Bode M, Brockmann K, Gasser T, Michaelis K, Solbrig S, et al. Cognitive-Driven activities of daily living impairment as a predictor for dementia in parkinson disease: a longitudinal cohort study. Neurology. 2022;99:E2548–60.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Peball M, Krismer F, Knaus HG, Djamshidian A, Werkmann M, Carbone F, et al. Non-Motor symptoms in parkinson’s disease are reduced by nabilone. Ann Neurol. 2020;88:712–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Cohen J. A power primer. Psychol Bull. 1992;112:155–9.

    Article  CAS  PubMed  Google Scholar 

  22. Jimbo K, Miyata K, Yuine H, Takahama K, Yoshimura T, Shiba H, et al. Classification of upper-limb dysfunction severity and prediction of independence in activities of daily living after cervical spinal-cord injury. Spinal Cord. 2024;62:507–13.

    Article  PubMed  Google Scholar 

  23. Unai K, Uemura O, Takemura R, Kawakami M, Liu M. Association between SCIM III total scores and individual item scores to predict independence with ADLs in persons with spinal cord injury. Arch Rehabil Res Clin Transl. 2019;1:100029.

    PubMed  PubMed Central  Google Scholar 

  24. Fawcett JW, Curt A, Steeves JD, Coleman WP, Tuszynski MH, Lammertse D, et al. Guidelines for the conduct of clinical trials for spinal cord injury as developed by the ICCP panel: Spontaneous recovery after spinal cord injury and statistical power needed for therapeutic clinical trials. Spinal Cord. 2007;45:190–205.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

The authors would like to express their gratitude to the staff at Chiba Rehabilitation Center for their help with data collection and other activities. We would like to thank Editage (http://www.editage.jp/) for English language editing. Some of the Graphical Abstracts included in this study were generated with the assistance of artificial intelligence (AI).

Funding

There are no funding sources to report for this study.

Author information

Authors and Affiliations

Authors

Contributions

All authors were involved in the research design and preparation of this manuscript. Kazumasa Jimbo, Kousuke Takahama, Tomohiro Yoshimura, Taichi Yasumori, Takashi Murayama, and Naohisa Kikuchi were substantially involved in data collection at the Chiba Rehabilitation Center and in creating the data collection manual. Kazumasa Jimbo, Kousuke Takahama, and Tomohiro Yoshimura were involved in the post-collection data analysis.

Corresponding author

Correspondence to Kazumasa Jimbo.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethical approval

This study was approved by the Ethical Review Committee of the Chiba Rehabilitation Center (approval no. Medical 7-8). All protocols were conducted in accordance with the principles of the Declaration of Helsinki. As this was a retrospective study, the participants provided informed consent, with opt-out options available within the hospital or on the hospital’s website. All applicable institutional and government regulations concerning the ethical use of human volunteers were followed during this study.

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Jimbo, K., Takahama, K., Yoshimura, T. et al. Establishing the predictive validity and determining cutoff values of the capabilities of upper extremity test for predicting activities of daily living independence in cervical spinal cord injury. Spinal Cord (2026). https://doi.org/10.1038/s41393-026-01221-1

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