The Prognostic Value of Preoperative Patient-Reported Function and Psychological Characteristics on Early Outcomes Following Trapeziectomy With Ligament Reconstruction Tendon Interposition for Treatment of Thumb Carpometacarpal Osteoarthritis

Kazmers, Nikolas H.; Grasu, Beatrice L.; Presson, Angela P.; Ou, Zhining; Henrie, Nicholas; Tyser, Andrew R.

doi:10.1016/j.jhsa.2019.11.016

Cited by 7 publications

(4 citation statements)

References 30 publications

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Section: Function Modelmentioning

confidence: 99%

“…Although some studies have reported prognostic factors influencing the outcome of surgical treatment of CMC1 OA [2,12,26,36], the development of a prediction model is new. One study examined the prognostic value of preoperative patient-reported disability and psychological characteristics for early postoperative outcomes with a mean follow-up of 14 weeks [26]. The authors found that patients with greater preoperative disability experienced more improvement after surgery but did not find an association between psychological factors and outcomes.…”

Section: Function Modelmentioning

confidence: 99%

“…This would help in the decision-making process, help manage patients' expectations, and assist clinicians in determining which patients will benefit from surgery; this may lead to better preoperative patient selection and may improve the likelihood that patients will be pleased with their surgical results [34]. However, determining which patients will benefit from surgical treatment is challenging because many factors may influence outcomes, such as demographics, clinical characteristics, and psychosocial profiles [12,26,36,47]. Thus, developing and implementing tools that accurately predict clinical improvement would be valuable.…”

Section: Introductionmentioning

confidence: 99%

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Machine Learning Can be Used to Predict Function but Not Pain After Surgery for Thumb Carpometacarpal Osteoarthritis

Loos

Hoogendam

Souer³

et al. 2022

Clin Orthop Relat Res

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Background Surgery for thumb carpometacarpal osteoarthritis is offered to patients who do not benefit from nonoperative treatment. Although surgery is generally successful in reducing symptoms, not all patients benefit. Predicting clinical improvement after surgery could provide decision support and enhance preoperative patient selection.Questions/purposes This study aimed to develop and validate prediction models for clinically important improvement in (1) pain and (2) hand function 12 months after surgery for thumb carpometacarpal osteoarthritis. Methods Between November 2011 and June 2020, 2653 patients were surgically treated for thumb carpometacarpal a Members of the Hand-Wrist Study Group are listed in an Appendix at the end of this article. Each author certifies that there are no funding or commercial associations (consultancies, stock ownership, equity interest, patent/licensing arrangements, etc.) that might pose a conflict of interest in connection with the submitted article related to the author or any immediate family members. All ICMJE Conflict of Interest Forms for authors and Clinical Orthopaedics and Related Research® editors and board members are on file with the publication and can be viewed on request. Clinical Orthopaedics and Related Research® neither advocates nor endorses the use of any treatment, drug, or device. Readers are encouraged to always seek additional information, including FDA approval status, of any drug or device before clinical use.

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Section: Function Modelmentioning

confidence: 99%

Section: Function Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Machine Learning Can be Used to Predict Function but Not Pain After Surgery for Thumb Carpometacarpal Osteoarthritis

Loos

Hoogendam

Souer³

et al. 2022

Clin Orthop Relat Res

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“… 22 – 27 Additionally, biopsychosocial factors have been associated with worse PROs in the early recovery period following distal radius fracture, thumb carpometacarpal arthroplasty, and a variety of elective upper-extremity surgeries. 21 , 28 , 29 Although possibly related to outcomes, these factors have not been studied in the context of elbow dislocation.…”

mentioning

confidence: 99%

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

Horst

Stephens

Wei

et al. 2021

Journal of Hand Surgery Global Online

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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.

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The Problem of Collinearity in Mental Health and Patient Reported Outcome Research

Teunis

Jayakumar

Ring

2021

The Journal of Hand Surgery

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The Prognostic Value of Preoperative Patient-Reported Function and Psychological Characteristics on Early Outcomes Following Trapeziectomy With Ligament Reconstruction Tendon Interposition for Treatment of Thumb Carpometacarpal Osteoarthritis

Cited by 7 publications

References 30 publications

Machine Learning Can be Used to Predict Function but Not Pain After Surgery for Thumb Carpometacarpal Osteoarthritis

Machine Learning Can be Used to Predict Function but Not Pain After Surgery for Thumb Carpometacarpal Osteoarthritis

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

The Problem of Collinearity in Mental Health and Patient Reported Outcome Research

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