AI Article Synopsis
- - The study aimed to create predictive models for recovery in patients who had hip fracture surgery, focusing on their ability to walk three months post-operation.
- - It involved 275 patients over the age of 50, assessing factors like age and walking ability before and after surgery, to develop two models for predicting ambulation recovery.
- - Results indicated that age and prior walking ability are key predictors of recovery, with the models demonstrating strong accuracy, helping clinicians identify patients needing targeted rehab support.
Article Abstract
Objective: To develop models for predicting postoperative ambulation recovery at 3 months following fragility hip fracture surgery.
Design: Cross-sectional study.
Subjects: Fragility hip fracture patients aged ≥ 50 years who underwent operative treatment and completed a 3-month follow-up.
Methods: Potential predictors were collected from eligible patients, while ambulation at 3 months after injury was assessed using the modified functional ambulation classification. These factors were used to develop the Hip Fracture Short-Term Ambulation Prediction, consisting of 2 models: Model 1 for postoperative ambulation and Model 2 for preinjury status recovery.
Results: Among the 275 patients, 55 (20.0%) achieved good ambulation, and 59 (21.5%) returned to their preinjury status at 3 months. Age, preinjury ambulatory status, and discharge ambulatory status were identified as significant predictors of 3-month postoperative ambulation. The tool presented (Models 1 and 2) showed strong performance (area under the curve of 0.86 and 0.85, respectively) and good internal validity.
Conclusions: Age, preinjury ambulatory status, and discharge ambulatory status significantly predict postoperative ambulation and preinjury status recovery at 3 months after fragility hip fracture surgery. The tool presented may aid clinicians in identifying patients who could benefit from targeted rehabilitation interventions during this crucial period.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11541808 | PMC |
| http://dx.doi.org/10.2340/jrm.v56.40780 | DOI Listing |
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