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Updated: Jan 13, 2026

Lower Limb Biomechanical Analysis of Healthy Participants
Published on: April 15, 2020
Distinct Patient Characteristics and Risk Profiles in Upper vs. Lower Leg Fractures: Insights from a Comprehensive
Felix Erne1,2, Christoph Ihle1,3, Sabrina Ehnert1
1Siegfried Weller Research Institute, BG Unfallklinik, Department of Trauma and Reconstructive Surgery, Eberhard Karls University Tuebingen, Schnarrenbergstr. 95, 72076 Tuebingen, Germany.
Internal factors like immobility and malnutrition increase surgical complication risks for lower-extremity fractures. Injury severity is also a key predictor, offering targets for improved patient outcomes.
Area of Science:
- Orthopedic Surgery
- Trauma Surgery
- Patient Outcomes Research
Background:
- Surgical treatment of lower-extremity fractures carries risks of postoperative complications.
- Pre-existing comorbidities and injury severity significantly influence surgical outcomes.
Purpose of the Study:
- To investigate the association between internal and external factors with postoperative complication rates.
- To identify key predictors for complicated postoperative courses in lower-extremity fracture patients.
Main Methods:
- Prospective study of 416 patients with lower extremity long bone fractures at a Level I trauma center (2014-2018).
- Systematic evaluation of comorbidities, age, malnutrition, and mobility.
- Classification of injury severity (Abbreviated Injury Scale), fracture type/location (AO/OTA), and complications (Clavien-Dindo).
Main Results:
- Immobility and malnutrition were significantly associated with increased complication rates.
- Injury severity showed a positive correlation with complications.
- Heart failure and chronic heart disease were identified as significant risk factors, particularly for femoral and lower leg fractures, respectively.
Conclusions:
- Immobility and malnutrition are significant, potentially modifiable risk factors for postoperative complications.
- Injury severity is a promising predictor of complication risk in patients with leg fractures.
- Validated classification systems can aid in predictive modeling for surgical outcomes.
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