Archives of Orthopaedic and Trauma Surgery

, Volume 134, Issue 8, pp 1065–1071 | Cite as

How does reverse shoulder replacement change the range of motion in activities of daily living in patients with cuff tear arthropathy? A prospective optical 3D motion analysis study

  • Michael W. Maier
  • Mira Caspers
  • Felix Zeifang
  • Thomas Dreher
  • Matthias C. Klotz
  • Sebastian I. Wolf
  • Philip Kasten
Orthopaedic Surgery



Reverse total shoulder arthroplasty (RSA) can improve function in cuff tear arthropathy (CTA) shoulders, but limited exact data are available about the maximum values in 3D motion analysis, and as to how improvements translate into the normal range of motion (ROM) in activities of daily living (ADLs).


This study included nine consecutive patients (n = 9) who received RSA for CTA without muscle transfers. We measured shoulder movement by a novel 3D motion analysis using the Heidelberg upper extremity model (HUX) which can eliminate compensatory movements of the scapula, and the trunk. The measurement included active maximum values, and four ADLs.


Comparing the pre- to the 1-year postoperative status, RSA was associated with a significant increase in the mean maximum values for active flexion of about 43° (SD ± 31) from 66° to 109° (p = 0.001), for active abduction of about 37° (SD ± 26) from 57° to 94° (p = 0.001), and for the active adduction of about 28° (SD ± 10) from 5° to 33° (p = 0.002). Comparing the preoperative to the postoperative ROM in the ADLs in flexion/extension, ROM improved significantly in all ADLs, in abduction/adduction in three of four ADLs. No significant changes were observed in internal/external rotation in any ADLs.


RSA improves the active maximum ROM for flexion, abduction, and adduction. The patients are able to take advantage of this ROM increase in ADLs in flexion and in most ADL in abduction, but only in trend in internal and external rotation.

Level of evidence

Level IV, Case Series with no comparison group.


Reverse shoulder arthroplasty Outcome Cuff tear arthropathy 3D video analysis Marker-based system Upper extremity Biomechanic model 



We thank the research fund of the Department of Orthopaedic and Trauma Surgery of the University of Heidelberg for the financial support of the study. Furthermore, we would like to thank the motion analysis team of the University of Heidelberg, especially Oliver Rettig and Waltraud Schuster, for the practical support during the study. This study was funded by the Research fund of the Department of Orthopaedic and Trauma Surgery of the Hospital of the University of Heidelberg.

Conflict of interest

All authors, their immediate family, and any research foundation with which they are affiliated did not receive any financial payments or other benefits from any commercial entity related to the subject of this article.

Ethical standards

The local ethics committee approved the study (S-305/2007) and all patients consented to the study.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Michael W. Maier
    • 1
  • Mira Caspers
    • 1
  • Felix Zeifang
    • 1
  • Thomas Dreher
    • 1
  • Matthias C. Klotz
    • 1
  • Sebastian I. Wolf
    • 1
  • Philip Kasten
    • 2
  1. 1.Clinic for Orthopedics and Trauma SurgeryHeidelberg University HospitalHeidelbergGermany
  2. 2.Carl-Gustav Carus University of DresdenDresdenGermany

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