Predicting Contralateral Surgery for Trapeziometacarpal Arthrosis Within 5 Years.
Artificial intelligence
TMC arthritis
logistic regression
machine learning
predictive models
Journal
The Journal of hand surgery
ISSN: 1531-6564
Titre abrégé: J Hand Surg Am
Pays: United States
ID NLM: 7609631
Informations de publication
Date de publication:
13 Feb 2024
13 Feb 2024
Historique:
received:
27
06
2023
revised:
23
12
2023
accepted:
11
01
2024
medline:
13
2
2024
pubmed:
13
2
2024
entrez:
13
2
2024
Statut:
aheadofprint
Résumé
Symptomatic trapeziometacarpal (TMC) joint arthritis is a common cause of hand pain. It is unknown how many patients ultimately elect to have bilateral surgery for TMC arthritis. In this study, we assessed the frequency and predictive factors for contralateral TMC surgery in patients who underwent prior TMC surgery. We identified 712 patients who underwent primary surgery for TMC arthritis with a follow-up period of 5 years. We collected demographic, surgical, and follow-up data. Prediction models for contralateral surgery using a training and testing data set were created with multivariable logistic regression and random forest classifier algorithms. At the time of initial surgery, 230 patients had bilateral thumb pain (32%), but only 153 patients ultimately had an operation for TMC arthritis on the contralateral side within 5 years (21% of 712 total patients and 67% of 230 patients with bilateral pain). Common predictive factors between both models for contralateral surgery were younger age (odds ratio [OR] = 0.95; 95% confidence interval [CI], 0.93-0.98), bilateral thumb pain (OR = 3.76; 95% CI, 2.52-5.65), and anxiety disorders (OR = 1.84; 95% CI, 1.11-3.03). In our study, we found that the rate of contralateral surgery was 21% in patients who underwent prior TMC surgery. Predictive factors for future contralateral surgery included younger age, bilateral thumb pain, and anxiety disorder at the time of initial surgery. Prognostic II.
Identifiants
pubmed: 38349285
pii: S0363-5023(24)00006-6
doi: 10.1016/j.jhsa.2024.01.003
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2024 American Society for Surgery of the Hand. Published by Elsevier Inc. All rights reserved.