Your browser doesn't support javascript.
loading
Predictive Modeling for Functional Outcomes After All-Inside Arthroscopic Anterior Talofibular Ligament Repair of Chronic Ankle Instability.
Chen, Ziyi; Zhao, Yujie; Xue, Xiao'ao; Gu, Xicheng; Li, Yi; Hua, Yinghui.
Afiliación
  • Chen Z; Department of Sports Medicine, Huashan Hospital, Fudan University, Shanghai, China.
  • Zhao Y; Department of Nursing, Huashan Hospital, Fudan University, Shanghai, China.
  • Xue X; Department of Sports Medicine, Huashan Hospital, Fudan University, Shanghai, China.
  • Gu X; Department of Sports Medicine, Huashan Hospital, Fudan University, Shanghai, China.
  • Li Y; Department of Sports Medicine, Huashan Hospital, Fudan University, Shanghai, China.
  • Hua Y; Department of Sports Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Foot Ankle Int ; 45(8): 852-861, 2024 Aug.
Article en En | MEDLINE | ID: mdl-38798107
ABSTRACT

BACKGROUND:

Arthroscopic anterior talofibular ligament repair (AATFLR) is a surgical strategy to treat chronic ankle instability (CAI) patients. This study identified risk factors that influenced the functional outcomes of AATFLR for CAI and developed prognostic nomogram for predicting functional outcomes in future AATFLR cases.

METHODS:

Patients undergoing AATFLR from January 2016 to June 2022 with at least 10 months of follow-up were included in the study. The Karlsson Ankle Functional Score (KAFS) was evaluated preoperatively and at last follow-up visit. A total of 15 potential predictors including age, sex, body mass index, side affected, time from injury to surgery, sports-related injury, osteophyte, loose bodies, distal tibiofibular syndesmosis, ATFL avulsion fracture, Outerbridge classification of osteochondral lesions, postoperative immobilization method, ambulation time, walking time, and follow-up time, were recorded. We first used univariate binary logistic regression analysis to select the potential significant prognostic features, which were then subjected to the least absolute shrinkage and selection operator (LASSO) regression algorithm for final feature selection. A nomogram based on the regression model was developed to estimate the functional outcomes of patients. Models were validated internally using bootstrapping and externally by calculating their performance on a validation cohort.

RESULTS:

Overall, 200 ankles fit inclusion criteria. Of these 200, a total of 185 (92.5%) ankles were eligible and divided into development (n = 121) and validation (n = 64) cohorts. Four predictors were ultimately included in the prognostic nomogram model age, sex, sports-related injury, and postoperative immobilization method.

CONCLUSION:

We found in our cohort that the significant predictors of poorer functional outcomes of AATFLR were postoperative immobilization with lower-leg cast, female sex, non-sports-related ankle sprain, and increasing age. Prognostic nomograms were created.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Artroscopía / Ligamentos Laterales del Tobillo / Inestabilidad de la Articulación Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Foot Ankle Int Asunto de la revista: ORTOPEDIA Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Artroscopía / Ligamentos Laterales del Tobillo / Inestabilidad de la Articulación Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Foot Ankle Int Asunto de la revista: ORTOPEDIA Año: 2024 Tipo del documento: Article País de afiliación: China