Minimal detectable change of kinematic and spatiotemporal parameters in patients with chronic stroke across three sessions of gait analysis
•First calculation of MDC gait’s parameters of both phases in chronic stroke patients.•A familiarization session of gait analysis should be done to reduce MDC values.•Raw data were reliable except for hip range of motion between visit 1 and visit 2. Three-dimensional gait analysis is the gold standa...
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Veröffentlicht in: | Human movement science 2019-04, Vol.64, p.101-107 |
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description | •First calculation of MDC gait’s parameters of both phases in chronic stroke patients.•A familiarization session of gait analysis should be done to reduce MDC values.•Raw data were reliable except for hip range of motion between visit 1 and visit 2.
Three-dimensional gait analysis is the gold standard for gait-assessment in patients with stroke. This technique is commonly used to assess the effect of treatment on gait parameters. In clinical practice, three gait analyses are usually carried out (baseline, after treatment and follow-up), the objectives were to define the reproducibility and the Minimum Detectable Change (MDC) for gait parameters in stance and swing measured using 3D-gait analysis, and to assess changes in MDC across three repeated 3D-gait analyses. Three gait analyses (V1, V2 and V3) were performed at 7-day intervals in twenty-six patients with chronic stroke. Kinematic data (in the sagittal plane, during swing and stance) and spatiotemporal data were evaluated for the paretic limb. Reliability was tested using repeated measures ANOVA with a Tukey post hoc test, and the MDC values were calculated for each parameter. Only the range of hip motion during swing changed significantly between V1 and V2, but no other kinematic parameters changed. No significant differences were observed for the spatiotemporal parameters. MDC values were always higher during the V1vsV2 comparison for both kinematic and spatiotemporal parameters. This is the first study to evaluate the MDC for kinematic and spatiotemporal parameters during stance and swing. Reliability of kinematic and spatiotemporal data across sessions was very good over the three sessions. MDC values were the lowest between V2 and V3 for most parameters. Use of the MDC will allow clinicians to more accurately determine the effect of treatments. |
doi_str_mv | 10.1016/j.humov.2019.01.011 |
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Three-dimensional gait analysis is the gold standard for gait-assessment in patients with stroke. This technique is commonly used to assess the effect of treatment on gait parameters. In clinical practice, three gait analyses are usually carried out (baseline, after treatment and follow-up), the objectives were to define the reproducibility and the Minimum Detectable Change (MDC) for gait parameters in stance and swing measured using 3D-gait analysis, and to assess changes in MDC across three repeated 3D-gait analyses. Three gait analyses (V1, V2 and V3) were performed at 7-day intervals in twenty-six patients with chronic stroke. Kinematic data (in the sagittal plane, during swing and stance) and spatiotemporal data were evaluated for the paretic limb. Reliability was tested using repeated measures ANOVA with a Tukey post hoc test, and the MDC values were calculated for each parameter. Only the range of hip motion during swing changed significantly between V1 and V2, but no other kinematic parameters changed. No significant differences were observed for the spatiotemporal parameters. MDC values were always higher during the V1vsV2 comparison for both kinematic and spatiotemporal parameters. This is the first study to evaluate the MDC for kinematic and spatiotemporal parameters during stance and swing. Reliability of kinematic and spatiotemporal data across sessions was very good over the three sessions. MDC values were the lowest between V2 and V3 for most parameters. Use of the MDC will allow clinicians to more accurately determine the effect of treatments.</description><identifier>ISSN: 0167-9457</identifier><identifier>EISSN: 1872-7646</identifier><identifier>DOI: 10.1016/j.humov.2019.01.011</identifier><identifier>PMID: 30710860</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Gait analysis ; Life Sciences ; Minimum Detectable Change ; Reproducibility ; Stroke</subject><ispartof>Human movement science, 2019-04, Vol.64, p.101-107</ispartof><rights>2019 Elsevier B.V.</rights><rights>Copyright © 2019 Elsevier B.V. All rights reserved.</rights><rights>Attribution - NonCommercial</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-2e17e999aaa84319b055062d91d1ca9dd73f0f824d63b97ec14f377bc4d4c2243</citedby><cites>FETCH-LOGICAL-c438t-2e17e999aaa84319b055062d91d1ca9dd73f0f824d63b97ec14f377bc4d4c2243</cites><orcidid>0000-0002-8733-2512</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.humov.2019.01.011$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30710860$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.univ-cotedazur.fr/hal-02528923$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Geiger, M.</creatorcontrib><creatorcontrib>Supiot, A.</creatorcontrib><creatorcontrib>Pradon, D.</creatorcontrib><creatorcontrib>Do, M.-C.</creatorcontrib><creatorcontrib>Zory, R.</creatorcontrib><creatorcontrib>Roche, N.</creatorcontrib><title>Minimal detectable change of kinematic and spatiotemporal parameters in patients with chronic stroke across three sessions of gait analysis</title><title>Human movement science</title><addtitle>Hum Mov Sci</addtitle><description>•First calculation of MDC gait’s parameters of both phases in chronic stroke patients.•A familiarization session of gait analysis should be done to reduce MDC values.•Raw data were reliable except for hip range of motion between visit 1 and visit 2.
Three-dimensional gait analysis is the gold standard for gait-assessment in patients with stroke. This technique is commonly used to assess the effect of treatment on gait parameters. In clinical practice, three gait analyses are usually carried out (baseline, after treatment and follow-up), the objectives were to define the reproducibility and the Minimum Detectable Change (MDC) for gait parameters in stance and swing measured using 3D-gait analysis, and to assess changes in MDC across three repeated 3D-gait analyses. Three gait analyses (V1, V2 and V3) were performed at 7-day intervals in twenty-six patients with chronic stroke. Kinematic data (in the sagittal plane, during swing and stance) and spatiotemporal data were evaluated for the paretic limb. Reliability was tested using repeated measures ANOVA with a Tukey post hoc test, and the MDC values were calculated for each parameter. Only the range of hip motion during swing changed significantly between V1 and V2, but no other kinematic parameters changed. No significant differences were observed for the spatiotemporal parameters. MDC values were always higher during the V1vsV2 comparison for both kinematic and spatiotemporal parameters. This is the first study to evaluate the MDC for kinematic and spatiotemporal parameters during stance and swing. Reliability of kinematic and spatiotemporal data across sessions was very good over the three sessions. MDC values were the lowest between V2 and V3 for most parameters. Use of the MDC will allow clinicians to more accurately determine the effect of treatments.</description><subject>Gait analysis</subject><subject>Life Sciences</subject><subject>Minimum Detectable Change</subject><subject>Reproducibility</subject><subject>Stroke</subject><issn>0167-9457</issn><issn>1872-7646</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kc1u1DAUhS0EokPhCZCQl7DI1H8TxwsWVUUp0lRs2rXl2DeNp0kcbM9UfYa-NE6ndIl0JVv2d8_RvQehz5SsKaH12W7d78dwWDNC1ZrQUvQNWtFGskrWon6LVoWSlRIbeYI-pLQjhNRCiPfohBNJSVOTFXq69pMfzYAdZLDZtANg25vpDnDo8L2fYDTZW2wmh9NcriHDOIdYOmYTzVi6YsJ-wssfTDnhB5_7IhHDVNpSjuEesLExpIRzHwFwgpR8mNJicGd8LtpmeEw-fUTvOjMk-PRynqLbyx83F1fV9vfPXxfn28oK3uSKAZWglDLGNIJT1ZLNhtTMKeqoNco5yTvSNUy4mrdKgqWi41K2VjhhGRP8FH076vZm0HMs48dHHYzXV-dbvbwRtmGNYvxAC_v1yM4x_NlDynr0ycIwmAnCPmlGpRKKsZoXlB_R52EjdK_alOglMb3Tz4npJTFNaKnF4MuLwb4dwb32_IuoAN-PAJSVHDxEnWzZtAXnY0lMu-D_a_AXkm6qtw</recordid><startdate>20190401</startdate><enddate>20190401</enddate><creator>Geiger, M.</creator><creator>Supiot, A.</creator><creator>Pradon, D.</creator><creator>Do, M.-C.</creator><creator>Zory, R.</creator><creator>Roche, N.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-8733-2512</orcidid></search><sort><creationdate>20190401</creationdate><title>Minimal detectable change of kinematic and spatiotemporal parameters in patients with chronic stroke across three sessions of gait analysis</title><author>Geiger, M. ; Supiot, A. ; Pradon, D. ; Do, M.-C. ; Zory, R. ; Roche, N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-2e17e999aaa84319b055062d91d1ca9dd73f0f824d63b97ec14f377bc4d4c2243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Gait analysis</topic><topic>Life Sciences</topic><topic>Minimum Detectable Change</topic><topic>Reproducibility</topic><topic>Stroke</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Geiger, M.</creatorcontrib><creatorcontrib>Supiot, A.</creatorcontrib><creatorcontrib>Pradon, D.</creatorcontrib><creatorcontrib>Do, M.-C.</creatorcontrib><creatorcontrib>Zory, R.</creatorcontrib><creatorcontrib>Roche, N.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Human movement science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Geiger, M.</au><au>Supiot, A.</au><au>Pradon, D.</au><au>Do, M.-C.</au><au>Zory, R.</au><au>Roche, N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Minimal detectable change of kinematic and spatiotemporal parameters in patients with chronic stroke across three sessions of gait analysis</atitle><jtitle>Human movement science</jtitle><addtitle>Hum Mov Sci</addtitle><date>2019-04-01</date><risdate>2019</risdate><volume>64</volume><spage>101</spage><epage>107</epage><pages>101-107</pages><issn>0167-9457</issn><eissn>1872-7646</eissn><abstract>•First calculation of MDC gait’s parameters of both phases in chronic stroke patients.•A familiarization session of gait analysis should be done to reduce MDC values.•Raw data were reliable except for hip range of motion between visit 1 and visit 2.
Three-dimensional gait analysis is the gold standard for gait-assessment in patients with stroke. This technique is commonly used to assess the effect of treatment on gait parameters. In clinical practice, three gait analyses are usually carried out (baseline, after treatment and follow-up), the objectives were to define the reproducibility and the Minimum Detectable Change (MDC) for gait parameters in stance and swing measured using 3D-gait analysis, and to assess changes in MDC across three repeated 3D-gait analyses. Three gait analyses (V1, V2 and V3) were performed at 7-day intervals in twenty-six patients with chronic stroke. Kinematic data (in the sagittal plane, during swing and stance) and spatiotemporal data were evaluated for the paretic limb. Reliability was tested using repeated measures ANOVA with a Tukey post hoc test, and the MDC values were calculated for each parameter. Only the range of hip motion during swing changed significantly between V1 and V2, but no other kinematic parameters changed. No significant differences were observed for the spatiotemporal parameters. MDC values were always higher during the V1vsV2 comparison for both kinematic and spatiotemporal parameters. This is the first study to evaluate the MDC for kinematic and spatiotemporal parameters during stance and swing. Reliability of kinematic and spatiotemporal data across sessions was very good over the three sessions. MDC values were the lowest between V2 and V3 for most parameters. Use of the MDC will allow clinicians to more accurately determine the effect of treatments.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>30710860</pmid><doi>10.1016/j.humov.2019.01.011</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-8733-2512</orcidid><oa>free_for_read</oa></addata></record> |
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title | Minimal detectable change of kinematic and spatiotemporal parameters in patients with chronic stroke across three sessions of gait analysis |
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