6533b82cfe1ef96bd1290115

RESEARCH PRODUCT

Neuromuscular control during gait in people with haemophilic arthropathy

Mauricio CerdaCarlos Cruz-montecinosCarlos Cruz-montecinosCarlos Cruz-montecinosHuub MaasSofía Pérez-alenda

subject

AdultMalemedicine.medical_specialtyhaemophiliaElectromyographyWalking030204 cardiovascular system & hematologyKnee Jointsurface electromyographyHaemophiliaHemophilia AHemophilia BSeverity of Illness Indexknee joint03 medical and health sciencesYoung Adult0302 clinical medicinePhysical medicine and rehabilitationSDG 3 - Good Health and Well-beingneuromuscular controlmedicineCluster AnalysisHumansankle jointMuscle SkeletalGaitGenetics (clinical)medicine.diagnostic_testbusiness.industryElectromyographymuscle synergyMotor controlHematologyGeneral MedicineExplained variationmedicine.diseaseGaitmedicine.anatomical_structureCase-Control Studies/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingAnkleNeuromuscular controlJoint Diseasesbusinesshuman activities030215 immunology

description

Introduction: Effects of haemophilic arthropathy on neuromuscular control during gait are currently unknown. Aims: (a) To assess how haemophilic arthropathy affects the complexity of neuromuscular control during gait; (b) To investigate the relationship between complexity of neuromuscular control and joint impairment. Methods: Thirteen control subjects (CG) walked overground at their preferred and a slow velocity and thirteen people with haemophilic arthropathy (PWHA) walking at their preferred velocity. Surface electromyography (EMG) was collected from eleven leg muscles. Electromyography variance explained by muscle synergies (sets of co-activated muscles that can be recruited by a single signal) was calculated by the total variance accounted (tVAF). Three measures were used to evaluate complexity of neuromuscular control: (a) the number of synergies required for tVAF > 90%, (b) tVAF as a function of the number of muscle synergies, and (c) the dynamic motor control index (Walk-DMC). Impairment of ankle and knee joints was determined by the Haemophilia Joint Health Score (HJHS). Results: The same number of the muscle synergies was found for each group (P > 0.05). For both walking velocities tested, tVAF1 was higher in PHWA (P < 0.05). The Walk-DMC of PWHA was lower than that of the CG for both walking velocities (P < 0.05). For PWHA, no significant correlation was found between HJHS (sum knee and ankle) and Walk-DMC index (r = −0.32, P = 0.28). Conclusions: These results indicate differences between PWHA and CG in the neuromuscular control of gait. The Walk-DMC and tVAF1 may be useful measures to assess changes in neuromuscular control in response to treatment.

10.1111/hae.13697https://research.vu.nl/en/publications/2f52dcfb-4a44-48ae-aa78-ec68eefddb90