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dc.contributor.authorAudigé, Laurent-
dc.contributor.authorAghlmandi, Soheila-
dc.contributor.authorGrobet, Cécile-
dc.contributor.authorStojanov, Thomas-
dc.contributor.authorMüller, Andreas M.-
dc.contributor.authorFelsch, Quinten-
dc.contributor.authorGleich, Johannes-
dc.contributor.authorFlury, Matthias-
dc.contributor.authorScheibel, Markus-
dc.date.accessioned2022-02-17T10:09:59Z-
dc.date.available2022-02-17T10:09:59Z-
dc.date.issued2021-
dc.identifier.issn0363-5465de_CH
dc.identifier.issn1552-3365de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/24239-
dc.description.abstractBackground: Postoperative shoulder stiffness (POSS) is a prevalent adverse event after arthroscopic rotator cuff repair (ARCR) that is associated with major limitations in everyday activities and prolonged rehabilitation. Purpose/Hypothesis: The purpose was to develop a predictive model for determining the risk of POSS within 6 months after primary ARCR. We hypothesized that sufficient discrimination ability of such a model could be achieved using a local institutional database. Study Design: Case-control study; Level of evidence, 3. Methods: Consecutive primary ARCRs documented in a local clinical registry between 2013 and 2017 were included, and patients who experienced POSS before the final clinical 6-month follow-up were identified. A total of 29 prognostic factor candidates were considered, including patient-related factors (n = 7), disease-related factors (n = 9), rotator cuff integrity factors (n = 6), and operative details (n = 7). We used imputed data for the primary analysis, and a sensitivity analysis was conducted using complete case data. Logistic regression was applied to develop a model based on clinical relevance and statistical criteria. To avoid overfitting in the multivariable model, highly correlated predictors were not included together in any model. A final prognostic model with a maximum of 8 prognostic factors was considered. The model’s predictive accuracy was assessed by the area under the receiver operating characteristic curve (AUC). Internal validation was performed using bootstrapping. Results: Of 1330 ARCR cases (N = 1330 patients), 112 (8.4%) patients had POSS. Our final model had a moderate predictive ability with an AUC of 0.67. The predicted risks of POSS ranged from 2.3% to 38.9% and were significantly higher in women; patients with partial tears, low baseline passive shoulder abduction, and lack of tendon degeneration; and when no acromioplasty was performed. Conclusion: A prognostic model for POSS was developed for patients with ARCR, offering a personalized risk evaluation to support the future decision process for surgery and rehabilitation.de_CH
dc.language.isoende_CH
dc.publisherSagede_CH
dc.relation.ispartofThe American Journal of Sports Medicinede_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectCapsulitisde_CH
dc.subjectArthroscopyde_CH
dc.subjectCase-Control studyde_CH
dc.subjectRetrospective studyde_CH
dc.subjectRotator cuff tearde_CH
dc.subjectSurgeryde_CH
dc.subjectComplicationde_CH
dc.subjectShoulder stiffnessde_CH
dc.subjectFrozen shoulderde_CH
dc.subjectRisk factorde_CH
dc.subjectPredictionde_CH
dc.subjectDiscriminationde_CH
dc.subjectRegistry Databasede_CH
dc.subject.ddc617.5: Orthopädische Chirurgiede_CH
dc.titlePrediction of shoulder stiffness after arthroscopic rotator cuff repairde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
zhaw.organisationalunitWinterthurer Institut für Gesundheitsökonomie (WIG)de_CH
dc.identifier.doi10.1177/03635465211028980de_CH
dc.identifier.pmid34310220de_CH
zhaw.funding.euNode_CH
zhaw.issue11de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end3039de_CH
zhaw.pages.start3030de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume49de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Management and Law

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Audigé, L., Aghlmandi, S., Grobet, C., Stojanov, T., Müller, A. M., Felsch, Q., Gleich, J., Flury, M., & Scheibel, M. (2021). Prediction of shoulder stiffness after arthroscopic rotator cuff repair. The American Journal of Sports Medicine, 49(11), 3030–3039. https://doi.org/10.1177/03635465211028980
Audigé, L. et al. (2021) ‘Prediction of shoulder stiffness after arthroscopic rotator cuff repair’, The American Journal of Sports Medicine, 49(11), pp. 3030–3039. Available at: https://doi.org/10.1177/03635465211028980.
L. Audigé et al., “Prediction of shoulder stiffness after arthroscopic rotator cuff repair,” The American Journal of Sports Medicine, vol. 49, no. 11, pp. 3030–3039, 2021, doi: 10.1177/03635465211028980.
AUDIGÉ, Laurent, Soheila AGHLMANDI, Cécile GROBET, Thomas STOJANOV, Andreas M. MÜLLER, Quinten FELSCH, Johannes GLEICH, Matthias FLURY und Markus SCHEIBEL, 2021. Prediction of shoulder stiffness after arthroscopic rotator cuff repair. The American Journal of Sports Medicine. 2021. Bd. 49, Nr. 11, S. 3030–3039. DOI 10.1177/03635465211028980
Audigé, Laurent, Soheila Aghlmandi, Cécile Grobet, Thomas Stojanov, Andreas M. Müller, Quinten Felsch, Johannes Gleich, Matthias Flury, and Markus Scheibel. 2021. “Prediction of Shoulder Stiffness after Arthroscopic Rotator Cuff Repair.” The American Journal of Sports Medicine 49 (11): 3030–39. https://doi.org/10.1177/03635465211028980.
Audigé, Laurent, et al. “Prediction of Shoulder Stiffness after Arthroscopic Rotator Cuff Repair.” The American Journal of Sports Medicine, vol. 49, no. 11, 2021, pp. 3030–39, https://doi.org/10.1177/03635465211028980.


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