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Prognostic Factors Affecting Long-Term Outcomes After Elbow Dislocation: A Longitudinal Cohort Study

PURPOSE: To describe patient-reported outcomes following simple elbow dislocation and to identify the baseline factors that predict outcomes. METHODS: Adult patients treated with a closed reduction for a simple elbow dislocation with or without minor fracture (coronoid avulsion, radial head fracture...

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Autores principales: van der Horst, Anna S., Stephens, Andrew R., Wei, Guo, Presson, Angela P., Tashjian, Robert Z., Kazmers, Nikolas H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496876/
https://www.ncbi.nlm.nih.gov/pubmed/34632352
http://dx.doi.org/10.1016/j.jhsg.2021.05.011
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author van der Horst, Anna S.
Stephens, Andrew R.
Wei, Guo
Presson, Angela P.
Tashjian, Robert Z.
Kazmers, Nikolas H.
author_facet van der Horst, Anna S.
Stephens, Andrew R.
Wei, Guo
Presson, Angela P.
Tashjian, Robert Z.
Kazmers, Nikolas H.
author_sort van der Horst, Anna S.
collection PubMed
description PURPOSE: To describe patient-reported outcomes following simple elbow dislocation and to identify the baseline factors that predict outcomes. METHODS: Adult patients treated with a closed reduction for a simple elbow dislocation with or without minor fracture (coronoid avulsion, radial head fracture, or epicondyle avulsion) from 2000 to 2018 completed outcome instruments including Disabilities of the Arm, Shoulder and Hand (QuickDASH) via Research Electronic Data Capture. Descriptive statistics were calculated. Univariate followed by multivariate Tobit regression models were used to determine factors associated with clinical outcomes on QuickDASH. Social deprivation was measured using the Area Deprivation Index. Patients with additional upper-extremity injuries or associated major fractures (Monteggia or terrible triad injuries, distal humerus fractures, etc) were excluded. RESULTS: At a mean follow-up of 67.5 months, 95% (38/40) of patients reported satisfaction with treatment, and clinical outcomes were good (QuickDASH 9.0 ± 14.8). Univariate analysis showed that higher Area Deprivation Index, older age, female sex, high-energy mechanism of injury, and worker’s compensation (WC) or Medicare insurance status (vs commercial) was associated with significantly worse QuickDASH scores at follow-up. Early therapy, dominant elbow involvement, presence of minor fractures (minimally displaced radial head, coronoid tip, or epicondylar avulsion fractures), race, and treating service did not influence outcomes in univariate analyses. Multivariate analysis demonstrated a significant association between increased social deprivation, WC insurance, and Medicare insurance and worse QuickDASH scores while controlling for new upper-extremity injury, age, sex, and mechanism of injury. CONCLUSIONS: Outcomes and treatment satisfaction following simple elbow dislocation are generally good but are significantly worse for the patients with greater levels of social deprivation and WC or Medicare insurance. Although surgeons should be aware of the possibility that specific subsets of patients may benefit from early therapy, this factor did not appear to influence long-term outcomes in this small cohort. TYPE OF STUDY/LEVEL OF EVIDENCE: Prognostic III.
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spelling pubmed-84968762021-10-07 Prognostic Factors Affecting Long-Term Outcomes After Elbow Dislocation: A Longitudinal Cohort Study van der Horst, Anna S. Stephens, Andrew R. Wei, Guo Presson, Angela P. Tashjian, Robert Z. Kazmers, Nikolas H. J Hand Surg Glob Online Original Research PURPOSE: To describe patient-reported outcomes following simple elbow dislocation and to identify the baseline factors that predict outcomes. METHODS: Adult patients treated with a closed reduction for a simple elbow dislocation with or without minor fracture (coronoid avulsion, radial head fracture, or epicondyle avulsion) from 2000 to 2018 completed outcome instruments including Disabilities of the Arm, Shoulder and Hand (QuickDASH) via Research Electronic Data Capture. Descriptive statistics were calculated. Univariate followed by multivariate Tobit regression models were used to determine factors associated with clinical outcomes on QuickDASH. Social deprivation was measured using the Area Deprivation Index. Patients with additional upper-extremity injuries or associated major fractures (Monteggia or terrible triad injuries, distal humerus fractures, etc) were excluded. RESULTS: At a mean follow-up of 67.5 months, 95% (38/40) of patients reported satisfaction with treatment, and clinical outcomes were good (QuickDASH 9.0 ± 14.8). Univariate analysis showed that higher Area Deprivation Index, older age, female sex, high-energy mechanism of injury, and worker’s compensation (WC) or Medicare insurance status (vs commercial) was associated with significantly worse QuickDASH scores at follow-up. Early therapy, dominant elbow involvement, presence of minor fractures (minimally displaced radial head, coronoid tip, or epicondylar avulsion fractures), race, and treating service did not influence outcomes in univariate analyses. Multivariate analysis demonstrated a significant association between increased social deprivation, WC insurance, and Medicare insurance and worse QuickDASH scores while controlling for new upper-extremity injury, age, sex, and mechanism of injury. CONCLUSIONS: Outcomes and treatment satisfaction following simple elbow dislocation are generally good but are significantly worse for the patients with greater levels of social deprivation and WC or Medicare insurance. Although surgeons should be aware of the possibility that specific subsets of patients may benefit from early therapy, this factor did not appear to influence long-term outcomes in this small cohort. TYPE OF STUDY/LEVEL OF EVIDENCE: Prognostic III. Elsevier 2021-06-24 /pmc/articles/PMC8496876/ /pubmed/34632352 http://dx.doi.org/10.1016/j.jhsg.2021.05.011 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research
van der Horst, Anna S.
Stephens, Andrew R.
Wei, Guo
Presson, Angela P.
Tashjian, Robert Z.
Kazmers, Nikolas H.
Prognostic Factors Affecting Long-Term Outcomes After Elbow Dislocation: A Longitudinal Cohort Study
title Prognostic Factors Affecting Long-Term Outcomes After Elbow Dislocation: A Longitudinal Cohort Study
title_full Prognostic Factors Affecting Long-Term Outcomes After Elbow Dislocation: A Longitudinal Cohort Study
title_fullStr Prognostic Factors Affecting Long-Term Outcomes After Elbow Dislocation: A Longitudinal Cohort Study
title_full_unstemmed Prognostic Factors Affecting Long-Term Outcomes After Elbow Dislocation: A Longitudinal Cohort Study
title_short Prognostic Factors Affecting Long-Term Outcomes After Elbow Dislocation: A Longitudinal Cohort Study
title_sort prognostic factors affecting long-term outcomes after elbow dislocation: a longitudinal cohort study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496876/
https://www.ncbi.nlm.nih.gov/pubmed/34632352
http://dx.doi.org/10.1016/j.jhsg.2021.05.011
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