JOT - 2026-04-09 - Journal Article
Do amputation characteristics predict outcomes measures and infections after osseointegration surgery?
Rivera JA, Bozzay AB, Souza JM, Potter BK, Forsberg JA
Topics
Key Takeaway
In 54 transfemoral amputees undergoing osseointegration, lower limb-loss-adjusted BMI was the strongest predictor of improved patient-reported outcomes and fewer infections at 2 years, explaining up to 26% of variance in PROMIS Pain scores (R²=0.26, p<0.001).
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Summary
This study asked which baseline amputation characteristics predict patient-reported outcomes and infection rates after transfemoral osseointegration at a single military medical center. Generalized linear models with AIC-guided backward elimination evaluated age at amputation, residual femur length, time with limb loss, age at osseointegration, and limb-loss-adjusted BMI as predictors. Adjusted BMI consistently emerged as the dominant predictor across Q-TFA Global (R²=0.06, p=0.05), Q-TFA Problem (R²=0.07, p=0.03), PROMIS Pain Interference (R²=0.25, p<0.001), PROMIS Pain Behavior (R²=0.26, p<0.001), physical function, prosthesis use, and infection count.
Key Limitation
The R² values for most outcome models are low (0.06–0.26), indicating that adjusted BMI, while statistically significant, explains only a modest fraction of outcome variance, and unmeasured confounders likely dominate.
Original Abstract
OBJECTIVE
To determine which patient characteristics are associated with patient-reported outcomes and infection outcomes after transfemoral osseointegration surgery.
METHODS
Design: Single-center retrospective study.
SETTING
Walter Reed National Military Medical Center, Bethesda, MD.
PATIENT SELECTION CRITERIA
Patients who underwent unilateral or bilateral transfemoral osseointegration surgery and completed 2-year follow-up.Outcome Measures and Comparisons: Baseline patient characteristics (age at primary amputation, time living with limb loss, residual femur length, age at osseointegration surgery, and limb-loss-adjusted body mass index [BMI]) were evaluated as predictors of change in patient-reported outcomes from baseline to 2-year follow-up (Q-TFA domains, PROMIS domains, and patient-reported prosthesis use) and of infection outcomes (any infection and number of infections), using generalized linear models with AIC-guided backward elimination and adjustment for amputation laterality (unilateral vs bilateral).
RESULTS
There were 54 patients included (37 unilateral and 17 bilateral) who completed 2-year follow-up. The unilateral cohort had a mean age of 41.1 years (range, 24-72) and was predominantly male (33 males, 4 females), whereas the bilateral cohort had a mean age of 33.6 years (range, 26-41) and consisted entirely of male patients. Adjusted BMI best predicted changes in Q-TFA Global (R2 = 0.06, F(1,48) = 3.8, p = 0.05) and Problem scores (R2 = 0.07, F(1,48) = 4.7, p = 0.03), as well as PROMIS Pain Interference (R2 = 0.25, F(1,50) = 17.8, p < 0.001) and Pain Behavior scores (R2 = 0.26, F(1,50) = 18.7, p < 0.001) between baseline and 2-year follow-up. Adjusted BMI also best predicted changes in Q-TFA Prosthetic Use, PROMIS Physical Function, and prosthesis use time. Adjusted BMI was the strongest predictor of the number of infections.
CONCLUSION
Among unilateral and bilateral transfemoral amputees undergoing osseointegration surgery with 2-year follow-up, lower adjusted BMI was associated with improved patient-reported outcomes and fewer infection events. Differences between unilateral and bilateral amputees suggest amputation laterality may modify postoperative outcomes.
LEVEL OF EVIDENCE
Therapeutic Level III.