Gait Patterns in Hemiplegic Patients with Equinus Foot Deformity

Manca, M.; Ferraresi, G.; Cosma, M.; Cavazzuti, L.; Morelli, Moreno; Benedetti, M.G.

doi:10.1155/2014/939316

Cited by 31 publications

(30 citation statements)

References 22 publications

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“…Hierarchical cluster analysis was performed using Ward’s method, described as particularly robust in identifying functional patterns 92 . Variables were z-standardised and the Euclidian distance used as measure of dissimilarity 93 , 94 . The optimal number of clusters was determined by the R ratio, a measure of intra-cluster variability.…”

Section: Methodsmentioning

confidence: 99%

Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time

Filli

Sutter

Easthope

et al. 2018

Sci Rep

106

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Gait dysfunction is a common and relevant symptom in multiple sclerosis (MS). This study aimed to profile gait pathology in gait-impaired patients with MS using comprehensive 3D gait analysis and clinical walking tests. Thirty-seven patients with MS walked on the treadmill at their individual, sustainable speed while 20 healthy control subjects walked at all the different patient’s paces, allowing for comparisons independent of walking velocity. Kinematic analysis revealed pronounced restrictions in knee and ankle joint excursion, increased gait variability and asymmetry along with impaired dynamic stability in patients. The most discriminative single gait parameter, differentiating patients from controls with an accuracy of 83.3% (χ2 test; p = 0.0001), was reduced knee range of motion. Based on hierarchical cluster and principal component analysis, three principal pathological gait patterns were identified: a spastic-paretic, an ataxia-like, and an unstable gait. Follow-up assessments after 1 year indicated deterioration of walking function, particularly in patients with spastic-paretic gait patterns. Our findings suggest that impaired knee/ankle control is common in patients with MS. Personalised gait profiles and clustering algorithms may be promising tools for stratifying patients and to inform patient-tailored exercise programs. Responsive, objective outcome measures are important for monitoring disease progression and treatment effects in MS trials.

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Section: Methodsmentioning

confidence: 99%

Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time

Filli

Sutter

Easthope

et al. 2018

Sci Rep

106

View full text Add to dashboard Cite

show abstract

“…It has been proved that the instability of the ankle joint will give rise to the articular stress changes, thus accelerating the degeneration of the cartilage, which is considered the main pathological factor for long-term traumatic osteoarthritis [10]. Since the salvage surgery such as ankle replacement or ankle joint fusion is the only option for those posttraumatic osteoarthritis with severe comminuted damage, it is worthy to obtain the anatomical reduction when the first surgery is performed to prevent potential posttraumatic osteoarthritis [11].…”

Section: Discussionmentioning

confidence: 99%

The Assessment of the Reduction Algorithm in the Treatment for “Logsplitter” Injury

Shou

Adhikary

Zou

et al. 2020

BioMed Research International

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As a rare and exceptional injury with significant syndesmotic disruption, the outcome of Logsplitter injury remains poor and unfavorable. In this study, we retrospectively investigated the relationship between the intraoperative reduction quality and the prognosis such as the posttraumatic osteoarthritis to help surgeons achieve better functional outcomes for this high-energy transsyndesmotic ankle fracture dislocation. From January 2015 to February 2019, 31 patients (average 37:6 ± 9:4 years with 19 male and 12 female) diagnosed with the Logsplitter injury were treated by ORIF procedure and enrolled in our study. Particularly, nine vital radiographic parameters including medial clear space, talocrural angle, superior clear space, tibiofibular clear space, tibiofibular overlap, talar tilt, coin sign, tibial medial malleolus angle, and fibular lateral malleolus angle were measured from a postoperative film (AP and mortise view). Next, we compared the clinical outcome by using range of ankle motion, AOFAS scores, Burwell-Charnley score system, and Kellergen-Lawrence criteria from the patients who obtained the intraoperative anatomical reduction with those who failed. Our results showed that AOFAS score with all the patients was 79:33 ± 5:82 at the final follow-up. 14 (45.1%) of 31 patients were observed with radiographic posttraumatic arthritis of the ankle joint with an average Kellgren-Lawrence score of 1:75 ± 1:6 at final follow-up. Most importantly, our results proved that there were significant differences between the patients eligible for anatomical reduction quality with those who failed with regard to OA rate (33.3% vs. 85.7%, P = 0:003) and AOFAS scores (75:33 ± 6:53 vs. 66:89 ± 4:28, P = 0:037) at the final followup. Furthermore, the functional outcome after the operation showed an increased range of motion of the ankle joint of the patients obtained anatomical reduction compared with those who failed (P < 0:05). In this study, the significant discrepancy with regard to the functional outcomes was observed between the acceptable and unacceptable radiographic parameters, indicating that the quality of intraoperative reduction is scientifically significant and thus can be utilized as the major factor to predict the clinical outcomes for Logsplitter injuries. Moreover, this reduction algorithm arising from our study can also be applied to other ankle fractures and dislocation involving syndesmotic complex.

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“…As well as the walking speed, its acceleration is different between healthy people and elderly and/or disabled people [23], [24]. It is also known that the anteversion of pelvis becomes smaller and left-right asymmetric due to the hemiplegia arthrosis [25].…”

Section: Related Workmentioning

confidence: 99%

Classification of Gait Anomaly due to Lesion Using Full-Body Gait Motions

Higashiguchi

Shimoyama

Ukita

et al. 2017

IEICE Trans. Inf. & Syst.

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SUMMARYThis paper proposes a method for evaluating a physical gait motion based on a 3D human skeleton measured by a depth sensor. While similar methods measure and evaluate the motion of only a part of interest (e.g., knee), the proposed method comprehensively evaluates the motion of the full body. The gait motions with a variety of physical disabilities due to lesioned body parts are recorded and modeled in advance for gait anomaly detection. This detection is achieved by finding lesioned parts a set of pose features extracted from gait sequences. In experiments, the proposed features extracted from the full body allowed us to identify where a subject was injured with 83.1% accuracy by using the model optimized for the individual. The superiority of the full-body features was validated in in contrast to local features extracted from only a body part of interest (77.1% by lower-body features and 65% by upper-body features). Furthermore, the effectiveness of the proposed full-body features was also validated with single universal model used for all subjects; 55.2%, 44.7%, and 35.5% by the full-body, lower-body, and upper-body features, respectively.

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Gait Patterns in Hemiplegic Patients with Equinus Foot Deformity

Cited by 31 publications

References 22 publications

Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time

Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time

The Assessment of the Reduction Algorithm in the Treatment for “Logsplitter” Injury

Classification of Gait Anomaly due to Lesion Using Full-Body Gait Motions

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