Ambulation recovery prediction after hip fracture surgery using the Hip Fracture Short-Term Ambulation Prediction tool.
Nath Adulkasem, Pojchong Chotiyarnwong, Ekasame Vanitcharoenkul and 1 others
PMID 39482980WHAT IT FOUND
Three simple factors predict hip fracture recovery at three months.
Age, pre-injury walking ability, and discharge walking status accurately forecast who will regain independence or their baseline mobility, helping therapists plan discharge and home modifications.
Key findings
01The Hip-SAP prediction model, using only age, pre-injury ambulation status, and discharge ambulation status, accurately predicted both return to pre-injury ambulation and good postoperative ambulation (MFAC VI or VII) at three months.
02Only 20.0% of patients achieved good postoperative ambulation (MFAC ≥ 6) and 21.5% regained their pre-injury ambulatory status at three months.
03The model's predictive accuracy was validated internally, with Area Under the Curve (AUC) values of 0.86 for predicting good ambulation and 0.85 for predicting return to pre-injury status.
STILL TO COME
How it was doneWhat they foundWhat it means for PTsWhat it means for OTs
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What it does not show
The study was conducted at a single institute, which may restrict the generalizability of the Hip-SAP tool to other populations or healthcare settings. The initial sample size estimation assumed a 40% return to pre-injury ambulation rate, but the actual rate was only approximately 20%, which could affect the model's ability to identify some predictor associations. Important factors such as cognitive status and the time to first ambulation were not recorded, although they are known to influence functional outcomes. The tool provides predictions but does not include a specific cutoff probability or direct recommendations for which patients need specialized rehabilitation protocols. External validation is needed to confirm the tool's accuracy in different clinical contexts.
Declared interests
The study was preregistered with the Thai Clinical Trials Registry. The text does not explicitly state funding sources or conflicts of interest for the authors, but notes that data were collected from the institute’s Fracture Liaison Service registry.
The easy way to misread this
Do not use the prediction tool to deny rehabilitation intensity. The model predicts statistical likelihoods at three months, not an absolute ceiling for recovery. A patient predicted to have a low chance of returning to pre-injury status may still achieve significant functional gains with intensive therapy, and the tool does not specify cutoffs for who benefits from specialized protocols.