Publication

Gait characteristics and their discriminative power in geriatric patients with and without cognitive impairment

Kikkert, L. H. J. C., Vuillerme, N., van Campen, J. P., Appels, B. A., Hortobagyi, T. & Lamoth, C. J. 15-Aug-2017 In : Journal of Neuroengineering and Rehabilitation. 14, 10 p., 84

Research output: Scientific - peer-reviewArticle

APA

Kikkert, L. H. J. C., Vuillerme, N., van Campen, J. P., Appels, B. A., Hortobagyi, T., & Lamoth, C. J. (2017). Gait characteristics and their discriminative power in geriatric patients with and without cognitive impairment. Journal of Neuroengineering and Rehabilitation, 14, [84]. DOI: 10.1186/s12984-017-0297-z

Author

Kikkert, Lisette H. J. C.; Vuillerme, Nicolas; van Campen, Jos P.; Appels, Bregje A.; Hortobagyi, Tibor; Lamoth, Claudine J. / Gait characteristics and their discriminative power in geriatric patients with and without cognitive impairment.

In: Journal of Neuroengineering and Rehabilitation, Vol. 14, 84, 15.08.2017.

Research output: Scientific - peer-reviewArticle

Harvard

Kikkert, LHJC, Vuillerme, N, van Campen, JP, Appels, BA, Hortobagyi, T & Lamoth, CJ 2017, 'Gait characteristics and their discriminative power in geriatric patients with and without cognitive impairment' Journal of Neuroengineering and Rehabilitation, vol 14, 84. DOI: 10.1186/s12984-017-0297-z

Standard

Gait characteristics and their discriminative power in geriatric patients with and without cognitive impairment. / Kikkert, Lisette H. J. C.; Vuillerme, Nicolas; van Campen, Jos P.; Appels, Bregje A.; Hortobagyi, Tibor; Lamoth, Claudine J.

In: Journal of Neuroengineering and Rehabilitation, Vol. 14, 84, 15.08.2017.

Research output: Scientific - peer-reviewArticle

Vancouver

Kikkert LHJC, Vuillerme N, van Campen JP, Appels BA, Hortobagyi T, Lamoth CJ. Gait characteristics and their discriminative power in geriatric patients with and without cognitive impairment. Journal of Neuroengineering and Rehabilitation. 2017 Aug 15;14. 84. Available from, DOI: 10.1186/s12984-017-0297-z


BibTeX

@article{c52420d19e2843d885cc09d0081d0f78,
title = "Gait characteristics and their discriminative power in geriatric patients with and without cognitive impairment",
abstract = "Background: A detailed gait analysis (e.g., measures related to speed, self-affinity, stability, and variability) can help to unravel the underlying causes of gait dysfunction, and identify cognitive impairment. However, because geriatric patients present with multiple conditions that also affect gait, results from healthy old adults cannot easily be extrapolated to geriatric patients. Hence, we (1) quantified gait outcomes based on dynamical systems theory, and (2) determined their discriminative power in three groups: healthy old adults, geriatric patients with-and geriatric patients without cognitive impairment.Methods: For the present cross-sectional study, 25 healthy old adults recruited from community (65 +/- 5.5 years), and 70 geriatric patients with (n = 39) and without (n = 31) cognitive impairment from the geriatric dayclinic of the MC Slotervaart hospital in Amsterdam (80 +/- 6.6 years) were included. Participants walked for 3 min during single- and dual-tasking at self-selected speed while 3D trunk accelerations were registered with an IPod touch G4. We quantified 23 gait outcomes that reflect multiple gait aspects. A multivariate model was built using Partial Least Square-Discriminant Analysis (PLS-DA) that best modelled participant group from gait outcomes.Results: For single-task walking, the PLS-DA model consisted of 4 Latent Variables that explained 63 and 41% of the variance in gait outcomes and group, respectively. Outcomes related to speed, regularity, predictability, and stability of trunk accelerations revealed with the highest discriminative power (VIP > 1). A high proportion of healthy old adults (96 and 93% for single- and dual-task, respectively) was correctly classified based on the gait outcomes. The discrimination of geriatric patients with and without cognitive impairment was poor, with 57% (single- task) and 64% (dual-task) of the patients misclassified.Conclusions: While geriatric patients vs. healthy old adults walked slower, and less regular, predictable, and stable, we found no differences in gait between geriatric patients with and without cognitive impairment. The effects of multiple comorbidities on geriatric patients' gait possibly causes a 'floor-effect', with no room for further deterioration when patients develop cognitive impairment. An accurate identification of cognitive status thus necessitates a multifactorial approach.",
keywords = "Gait dynamics, Cognitive impairment, Multivariate analysis, IPod touch, Trunk accelerations, Discriminant analysis, Geriatric patients, EXECUTIVE FUNCTION, POSTURAL CONTROL, TRIAXIAL ACCELEROMETER, ALZHEIMERS-DISEASE, OLDER-ADULTS, FALL-RISK, WALKING, VARIABILITY, STABILITY, METAANALYSIS",
author = "Kikkert, {Lisette H. J. C.} and Nicolas Vuillerme and {van Campen}, {Jos P.} and Appels, {Bregje A.} and Tibor Hortobagyi and Lamoth, {Claudine J.}",
year = "2017",
month = "8",
doi = "10.1186/s12984-017-0297-z",
volume = "14",
journal = "Journal of Neuroengineering and Rehabilitation",
issn = "1743-0003",
publisher = "BioMed Central Ltd.",

}

RIS

TY - JOUR

T1 - Gait characteristics and their discriminative power in geriatric patients with and without cognitive impairment

AU - Kikkert,Lisette H. J. C.

AU - Vuillerme,Nicolas

AU - van Campen,Jos P.

AU - Appels,Bregje A.

AU - Hortobagyi,Tibor

AU - Lamoth,Claudine J.

PY - 2017/8/15

Y1 - 2017/8/15

N2 - Background: A detailed gait analysis (e.g., measures related to speed, self-affinity, stability, and variability) can help to unravel the underlying causes of gait dysfunction, and identify cognitive impairment. However, because geriatric patients present with multiple conditions that also affect gait, results from healthy old adults cannot easily be extrapolated to geriatric patients. Hence, we (1) quantified gait outcomes based on dynamical systems theory, and (2) determined their discriminative power in three groups: healthy old adults, geriatric patients with-and geriatric patients without cognitive impairment.Methods: For the present cross-sectional study, 25 healthy old adults recruited from community (65 +/- 5.5 years), and 70 geriatric patients with (n = 39) and without (n = 31) cognitive impairment from the geriatric dayclinic of the MC Slotervaart hospital in Amsterdam (80 +/- 6.6 years) were included. Participants walked for 3 min during single- and dual-tasking at self-selected speed while 3D trunk accelerations were registered with an IPod touch G4. We quantified 23 gait outcomes that reflect multiple gait aspects. A multivariate model was built using Partial Least Square-Discriminant Analysis (PLS-DA) that best modelled participant group from gait outcomes.Results: For single-task walking, the PLS-DA model consisted of 4 Latent Variables that explained 63 and 41% of the variance in gait outcomes and group, respectively. Outcomes related to speed, regularity, predictability, and stability of trunk accelerations revealed with the highest discriminative power (VIP > 1). A high proportion of healthy old adults (96 and 93% for single- and dual-task, respectively) was correctly classified based on the gait outcomes. The discrimination of geriatric patients with and without cognitive impairment was poor, with 57% (single- task) and 64% (dual-task) of the patients misclassified.Conclusions: While geriatric patients vs. healthy old adults walked slower, and less regular, predictable, and stable, we found no differences in gait between geriatric patients with and without cognitive impairment. The effects of multiple comorbidities on geriatric patients' gait possibly causes a 'floor-effect', with no room for further deterioration when patients develop cognitive impairment. An accurate identification of cognitive status thus necessitates a multifactorial approach.

AB - Background: A detailed gait analysis (e.g., measures related to speed, self-affinity, stability, and variability) can help to unravel the underlying causes of gait dysfunction, and identify cognitive impairment. However, because geriatric patients present with multiple conditions that also affect gait, results from healthy old adults cannot easily be extrapolated to geriatric patients. Hence, we (1) quantified gait outcomes based on dynamical systems theory, and (2) determined their discriminative power in three groups: healthy old adults, geriatric patients with-and geriatric patients without cognitive impairment.Methods: For the present cross-sectional study, 25 healthy old adults recruited from community (65 +/- 5.5 years), and 70 geriatric patients with (n = 39) and without (n = 31) cognitive impairment from the geriatric dayclinic of the MC Slotervaart hospital in Amsterdam (80 +/- 6.6 years) were included. Participants walked for 3 min during single- and dual-tasking at self-selected speed while 3D trunk accelerations were registered with an IPod touch G4. We quantified 23 gait outcomes that reflect multiple gait aspects. A multivariate model was built using Partial Least Square-Discriminant Analysis (PLS-DA) that best modelled participant group from gait outcomes.Results: For single-task walking, the PLS-DA model consisted of 4 Latent Variables that explained 63 and 41% of the variance in gait outcomes and group, respectively. Outcomes related to speed, regularity, predictability, and stability of trunk accelerations revealed with the highest discriminative power (VIP > 1). A high proportion of healthy old adults (96 and 93% for single- and dual-task, respectively) was correctly classified based on the gait outcomes. The discrimination of geriatric patients with and without cognitive impairment was poor, with 57% (single- task) and 64% (dual-task) of the patients misclassified.Conclusions: While geriatric patients vs. healthy old adults walked slower, and less regular, predictable, and stable, we found no differences in gait between geriatric patients with and without cognitive impairment. The effects of multiple comorbidities on geriatric patients' gait possibly causes a 'floor-effect', with no room for further deterioration when patients develop cognitive impairment. An accurate identification of cognitive status thus necessitates a multifactorial approach.

KW - Gait dynamics

KW - Cognitive impairment

KW - Multivariate analysis

KW - IPod touch

KW - Trunk accelerations

KW - Discriminant analysis

KW - Geriatric patients

KW - EXECUTIVE FUNCTION

KW - POSTURAL CONTROL

KW - TRIAXIAL ACCELEROMETER

KW - ALZHEIMERS-DISEASE

KW - OLDER-ADULTS

KW - FALL-RISK

KW - WALKING

KW - VARIABILITY

KW - STABILITY

KW - METAANALYSIS

U2 - 10.1186/s12984-017-0297-z

DO - 10.1186/s12984-017-0297-z

M3 - Article

VL - 14

JO - Journal of Neuroengineering and Rehabilitation

T2 - Journal of Neuroengineering and Rehabilitation

JF - Journal of Neuroengineering and Rehabilitation

SN - 1743-0003

M1 - 84

ER -

ID: 47264649