Bioelectrical Impedance Parameters as Predictors of Functional Outcomes in Patients Undergoing Rehabilitation After Femoral Fracture Surgery: A Pilot Study

Elderly patients with femoral fractures need specific rehabilitation after surgery that aims to improve their self-reliance and life quality, reducing their mortality rate. Although worsening patient body composition increased the risk of an unfavourable prognosis, it remains unclear whether evaluating bioelectrical impedance analysis (BIA) parameters can predict any functional recovery. A longitudinal design was conducted on 45 elders (84.59 ± 7.18 years, 75.6% female) who underwent femoral surgery to examine BIA features as rehabilitation biomarkers. The patient’s body composition, assessed by anthropometry and bioimpedance analysis (BIA), and self-reliance were evaluated three times during follow-up in both healthy and surgical lower limbs. The ANCOVA test, adjusted for gender and side of surgery, found improvements in daily living activities, while only thigh circumferences decreased over time. Regarding the BIA, the surgical leg showed a wider decrement in bioelectrical resistance (R), whereas the bioelectric reactance (Xc) exhibited similar trends. Females who underwent surgery on their dominant leg showed significant changes (p < 0.001) in bioimpedance vectorial analysis (BIVA), with a linear trend from baseline to postoperative time, while males exhibited beneficial variations only between baseline and time 2 (p < 0.01). Geriatric patients exhibit characteristic traits that require additional attention. BIA may be a feasible and non-invasive method for monitoring patient prognosis and reducing national health system costs.

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Publication Details

Journal
Applied Sciences
Published
2025-12-23
DOI
https://doi.org/10.3390/app16010158
Primary Topic
Body Composition Measurement Techniques
Type
article
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article

Bioelectrical Impedance Parameters as Predictors of Functional Outcomes in Patients Undergoing Rehabilitation After Femoral Fracture Surgery: A Pilot Study

Orietta Valentini, Alessia Grigoletto, Federica Moro, Sabrina Gabrielli et al.
Applied Sciences
Body Composition Measurement Techniques
article

Bioelectrical Impedance Parameters as Predictors of Functional Outcomes in Patients Undergoing Rehabilitation After Femoral Fracture Surgery: A Pilot Study

Orietta Valentini, Alessia Grigoletto, Federica Moro, Sabrina Gabrielli, Mario Mauro, Stefania Toselli, Sofia Marini, Stefania Bandini, Angela Cappelletti
article en

Abstract

Elderly patients with femoral fractures need specific rehabilitation after surgery that aims to improve their self-reliance and life quality, reducing their mortality rate. Although worsening patient body composition increased the risk of an unfavourable prognosis, it remains unclear whether evaluating bioelectrical impedance analysis (BIA) parameters can predict any functional recovery. A longitudinal design was conducted on 45 elders (84.59 ± 7.18 years, 75.6% female) who underwent femoral surgery to examine BIA features as rehabilitation biomarkers. The patient’s body composition, assessed by anthropometry and bioimpedance analysis (BIA), and self-reliance were evaluated three times during follow-up in both healthy and surgical lower limbs. The ANCOVA test, adjusted for gender and side of surgery, found improvements in daily living activities, while only thigh circumferences decreased over time. Regarding the BIA, the surgical leg showed a wider decrement in bioelectrical resistance (R), whereas the bioelectric reactance (Xc) exhibited similar trends. Females who underwent surgery on their dominant leg showed significant changes (p < 0.001) in bioimpedance vectorial analysis (BIVA), with a linear trend from baseline to postoperative time, while males exhibited beneficial variations only between baseline and time 2 (p < 0.01). Geriatric patients exhibit characteristic traits that require additional attention. BIA may be a feasible and non-invasive method for monitoring patient prognosis and reducing national health system costs.

Applied SciencesVol. 16(1)
University of Chieti-Pescara (IT), Sacmi (Italy) (IT), University of Bologna (IT)
Good health and well-being
Openalex Percentile: Top 34%
Body Composition Measurement Techniques
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