Gait analysis with smart insoles can identify patients at risk of tibial shaft fracture nonunion as early as six weeks after surgery: longitudinal and cross-sectional study

BackgroundNonunion, a common and detrimental complication of tibial shaft fractures, is usually diagnosed via X-ray-based imaging. Unfortunately, it often takes months of observation until the indication for revision surgery or other interventions is given, which is why additional methods are desira...

Full description

Saved in:
Bibliographic Details
Main Authors: Elke Warmerdam, Marcel Orth, Max Müller, Tim Pohlemann, Bergita Ganse
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2025.1536738/full
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1839655876483350528
author Elke Warmerdam
Marcel Orth
Max Müller
Tim Pohlemann
Bergita Ganse
Bergita Ganse
author_facet Elke Warmerdam
Marcel Orth
Max Müller
Tim Pohlemann
Bergita Ganse
Bergita Ganse
author_sort Elke Warmerdam
collection DOAJ
description BackgroundNonunion, a common and detrimental complication of tibial shaft fractures, is usually diagnosed via X-ray-based imaging. Unfortunately, it often takes months of observation until the indication for revision surgery or other interventions is given, which is why additional methods are desirable to enhance the ability to predict and prevent nonunion earlier.ObjectiveAs gait patterns and subjective outcomes obtained by questionnaires improved during regular fracture healing, the aim of this study was to determine whether gait analyses with instrumented insoles and patient-reported outcome measurement information system (PROMIS) questionnaires could be used to detect patients at risk of developing nonunion during the healing phase after tibial shaft fracture.MethodsData were collected from a longitudinal and a cross-sectional tibial fracture cohort via gait analysis with instrumented insoles (OpenGO, Moticon GmbH, Munich, Germany) and in addition via PROMIS questionnaires. The gait parameters included pressure, temporal, angular velocity and acceleration-related parameters. The PROMIS covered the global health, physical function and pain questionnaires. Comparisons between patients with and without union were performed at 1 week, 6 weeks, 3 months and 6 months after surgery.ResultsSix-month postoperative radiographs revealed nonunion in seven of 18 longitudinally assessed patients and in four patients who underwent a single assessment after nonunion diagnosis. Overall gait patterns, primarily reflected by temporal and pressure distribution parameters, differed significantly between patients with and without union from 6 weeks onward. These differences between union and nonunion patients were detected via gait patterns significantly earlier than by radiographs or PROMIS questionnaires. In detail, 6 weeks after surgery, 16 out of the 33 gait parameters were significantly different between the longitudinal union and longitudinal nonunion groups. Three months after surgery, the center of pressure width (p = 0.022), stride time (p = 0.035), stride frequency (p = 0.008), maximal angular velocity (p = 0.014), and asymmetry of the maximal angular velocity (p = 0.035) differed significantly between the longitudinal union and longitudinal nonunion groups.ConclusionGait analysis with instrumented insoles can be used to detect patients at high risk of developing nonunion of a tibial shaft fracture already 6 weeks postoperative.
format Article
id doaj-art-b1fca6afd29e43cbb3fdffe368ccb6e4
institution Matheson Library
issn 2296-4185
language English
publishDate 2025-06-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Bioengineering and Biotechnology
spelling doaj-art-b1fca6afd29e43cbb3fdffe368ccb6e42025-06-25T05:25:10ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852025-06-011310.3389/fbioe.2025.15367381536738Gait analysis with smart insoles can identify patients at risk of tibial shaft fracture nonunion as early as six weeks after surgery: longitudinal and cross-sectional studyElke Warmerdam0Marcel Orth1Max Müller2Tim Pohlemann3Bergita Ganse4Bergita Ganse5Werner Siemens-Endowed Chair for Innovative Implant Development (Fracture Healing), Departments and Institutes of Surgery, Saarland University, Homburg, GermanyDepartment of Trauma, Hand and Reconstructive Surgery, Departments and Institutes of Surgery, Saarland University, Homburg, GermanyDepartment of Trauma, Hand and Reconstructive Surgery, Departments and Institutes of Surgery, Saarland University, Homburg, GermanyDepartment of Trauma, Hand and Reconstructive Surgery, Departments and Institutes of Surgery, Saarland University, Homburg, GermanyWerner Siemens-Endowed Chair for Innovative Implant Development (Fracture Healing), Departments and Institutes of Surgery, Saarland University, Homburg, GermanyDepartment of Trauma, Hand and Reconstructive Surgery, Departments and Institutes of Surgery, Saarland University, Homburg, GermanyBackgroundNonunion, a common and detrimental complication of tibial shaft fractures, is usually diagnosed via X-ray-based imaging. Unfortunately, it often takes months of observation until the indication for revision surgery or other interventions is given, which is why additional methods are desirable to enhance the ability to predict and prevent nonunion earlier.ObjectiveAs gait patterns and subjective outcomes obtained by questionnaires improved during regular fracture healing, the aim of this study was to determine whether gait analyses with instrumented insoles and patient-reported outcome measurement information system (PROMIS) questionnaires could be used to detect patients at risk of developing nonunion during the healing phase after tibial shaft fracture.MethodsData were collected from a longitudinal and a cross-sectional tibial fracture cohort via gait analysis with instrumented insoles (OpenGO, Moticon GmbH, Munich, Germany) and in addition via PROMIS questionnaires. The gait parameters included pressure, temporal, angular velocity and acceleration-related parameters. The PROMIS covered the global health, physical function and pain questionnaires. Comparisons between patients with and without union were performed at 1 week, 6 weeks, 3 months and 6 months after surgery.ResultsSix-month postoperative radiographs revealed nonunion in seven of 18 longitudinally assessed patients and in four patients who underwent a single assessment after nonunion diagnosis. Overall gait patterns, primarily reflected by temporal and pressure distribution parameters, differed significantly between patients with and without union from 6 weeks onward. These differences between union and nonunion patients were detected via gait patterns significantly earlier than by radiographs or PROMIS questionnaires. In detail, 6 weeks after surgery, 16 out of the 33 gait parameters were significantly different between the longitudinal union and longitudinal nonunion groups. Three months after surgery, the center of pressure width (p = 0.022), stride time (p = 0.035), stride frequency (p = 0.008), maximal angular velocity (p = 0.014), and asymmetry of the maximal angular velocity (p = 0.035) differed significantly between the longitudinal union and longitudinal nonunion groups.ConclusionGait analysis with instrumented insoles can be used to detect patients at high risk of developing nonunion of a tibial shaft fracture already 6 weeks postoperative.https://www.frontiersin.org/articles/10.3389/fbioe.2025.1536738/fullbone regenerationdiaphyseal fracturefracture monitoringorthopaedic traumapatient-reported outcome measuresplantar pressure
spellingShingle Elke Warmerdam
Marcel Orth
Max Müller
Tim Pohlemann
Bergita Ganse
Bergita Ganse
Gait analysis with smart insoles can identify patients at risk of tibial shaft fracture nonunion as early as six weeks after surgery: longitudinal and cross-sectional study
Frontiers in Bioengineering and Biotechnology
bone regeneration
diaphyseal fracture
fracture monitoring
orthopaedic trauma
patient-reported outcome measures
plantar pressure
title Gait analysis with smart insoles can identify patients at risk of tibial shaft fracture nonunion as early as six weeks after surgery: longitudinal and cross-sectional study
title_full Gait analysis with smart insoles can identify patients at risk of tibial shaft fracture nonunion as early as six weeks after surgery: longitudinal and cross-sectional study
title_fullStr Gait analysis with smart insoles can identify patients at risk of tibial shaft fracture nonunion as early as six weeks after surgery: longitudinal and cross-sectional study
title_full_unstemmed Gait analysis with smart insoles can identify patients at risk of tibial shaft fracture nonunion as early as six weeks after surgery: longitudinal and cross-sectional study
title_short Gait analysis with smart insoles can identify patients at risk of tibial shaft fracture nonunion as early as six weeks after surgery: longitudinal and cross-sectional study
title_sort gait analysis with smart insoles can identify patients at risk of tibial shaft fracture nonunion as early as six weeks after surgery longitudinal and cross sectional study
topic bone regeneration
diaphyseal fracture
fracture monitoring
orthopaedic trauma
patient-reported outcome measures
plantar pressure
url https://www.frontiersin.org/articles/10.3389/fbioe.2025.1536738/full
work_keys_str_mv AT elkewarmerdam gaitanalysiswithsmartinsolescanidentifypatientsatriskoftibialshaftfracturenonunionasearlyassixweeksaftersurgerylongitudinalandcrosssectionalstudy
AT marcelorth gaitanalysiswithsmartinsolescanidentifypatientsatriskoftibialshaftfracturenonunionasearlyassixweeksaftersurgerylongitudinalandcrosssectionalstudy
AT maxmuller gaitanalysiswithsmartinsolescanidentifypatientsatriskoftibialshaftfracturenonunionasearlyassixweeksaftersurgerylongitudinalandcrosssectionalstudy
AT timpohlemann gaitanalysiswithsmartinsolescanidentifypatientsatriskoftibialshaftfracturenonunionasearlyassixweeksaftersurgerylongitudinalandcrosssectionalstudy
AT bergitaganse gaitanalysiswithsmartinsolescanidentifypatientsatriskoftibialshaftfracturenonunionasearlyassixweeksaftersurgerylongitudinalandcrosssectionalstudy
AT bergitaganse gaitanalysiswithsmartinsolescanidentifypatientsatriskoftibialshaftfracturenonunionasearlyassixweeksaftersurgerylongitudinalandcrosssectionalstudy