Literature DB >> 25690269

Enhancing clinically-relevant shoulder function assessment using only essential movements.

C Pichonnaz1, E Lécureux, J-P Bassin, C Duc, A Farron, K Aminian, B M Jolles, N Gleeson.   

Abstract

Kinematic functional evaluation with body-worn sensors provides discriminative and responsive scores after shoulder surgery, but the optimal movements' combination has not yet been scientifically investigated. The aim of this study was the development of a simplified shoulder function kinematic score including only essential movements. The P Score, a seven-movement kinematic score developed on 31 healthy participants and 35 patients before surgery and at 3, 6 and 12 months after shoulder surgery, served as a reference. Principal component analysis and multiple regression were used to create simplified scoring models. The candidate models were compared to the reference score. ROC curve for shoulder pathology detection and correlations with clinical questionnaires were calculated. The B-B Score (hand to the Back and hand upwards as to change a Bulb) showed no difference to the P Score in time*score interaction (P > .05) and its relation with the reference score was highly linear (R(2) > .97). Absolute value of correlations with clinical questionnaires ranged from 0.51 to 0.77. Sensitivity was 97% and specificity 94%. The B-B and reference scores are equivalent for the measurement of group responses. The validated simplified scoring model presents practical advantages that facilitate the objective evaluation of shoulder function in clinical practice.

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Year:  2015        PMID: 25690269     DOI: 10.1088/0967-3334/36/3/547

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  3 in total

1.  Heightened clinical utility of smartphone versus body-worn inertial system for shoulder function B-B score.

Authors:  Claude Pichonnaz; Kamiar Aminian; Céline Ancey; Hervé Jaccard; Estelle Lécureux; Cyntia Duc; Alain Farron; Brigitte M Jolles; Nigel Gleeson
Journal:  PLoS One       Date:  2017-03-20       Impact factor: 3.240

2.  Measurement properties of the smartphone-based B-B Score in current shoulder pathologies.

Authors:  Claude Pichonnaz; Cyntia Duc; Nigel Gleeson; Céline Ancey; Hervé Jaccard; Estelle Lécureux; Alain Farron; Brigitte M Jolles; Kamiar Aminian
Journal:  Sensors (Basel)       Date:  2015-10-22       Impact factor: 3.576

3.  Reliability of a Smartphone Compared With an Inertial Sensor to Measure Shoulder Mobility: Cross-Sectional Study.

Authors:  Cristina Roldán-Jiménez; Jaime Martin-Martin; Antonio I Cuesta-Vargas
Journal:  JMIR Mhealth Uhealth       Date:  2019-09-06       Impact factor: 4.773

  3 in total

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