Convergent Validity of the Timed Walking Tests with Functional Ambulatory Category in Subacute Stroke
Determining the walking ability of post-stroke patients is crucial for the design of rehabilitation programs and the correct functional information to give to patients and their caregivers at their return home after a neurorehabilitation program. We aimed to assess the convergent validity of three d...
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| Format: | Article |
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MDPI AG
2023-07-01
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| Series: | Brain Sciences |
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| Online Access: | https://www.mdpi.com/2076-3425/13/7/1089 |
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| author | Alex Martino Cinnera Serena Marrano Daniela De Bartolo Marco Iosa Alessio Bisirri Enza Leone Alessandro Stefani Giacomo Koch Irene Ciancarelli Stefano Paolucci Giovanni Morone |
| author_facet | Alex Martino Cinnera Serena Marrano Daniela De Bartolo Marco Iosa Alessio Bisirri Enza Leone Alessandro Stefani Giacomo Koch Irene Ciancarelli Stefano Paolucci Giovanni Morone |
| author_sort | Alex Martino Cinnera |
| collection | DOAJ |
| description | Determining the walking ability of post-stroke patients is crucial for the design of rehabilitation programs and the correct functional information to give to patients and their caregivers at their return home after a neurorehabilitation program. We aimed to assess the convergent validity of three different walking tests: the Functional Ambulation Category (FAC) test, the 10-m walking test (10MeWT) and the 6-minute walking test (6MWT). Eighty walking participants with stroke (34 F, age 64.54 ± 13.02 years) were classified according to the FAC score. Gait speed evaluation was performed with 10MeWT and 6MWT. The cut-off values for FAC and walking tests were calculated using a receiver-operating characteristic (ROC) curve. Area under the curve (AUC) and Youden’s index were used to find the cut-off value. Statistical differences were found in all FAC subgroups with respect to walking speed on short and long distances, and in the Rivermead Mobility Index and Barthel Index. Mid-level precision (AUC > 0.7; <i>p</i> < 0.05) was detected in the walking speed with respect to FAC score (III vs. IV and IV vs. V). The confusion matrix and the accuracy analysis showed that the most sensitive test was the 10MeWT, with cut-off values of 0.59 m/s and 1.02 m/s. Walking speed cut-offs of 0.59 and 1.02 m/s were assessed with the 10MeWT and can be used in FAC classification in patients with subacute stroke between the subgroups able to walk with supervision and independently on uniform and non-uniform surfaces. Moreover, the overlapping walking speed registered with the two tests, the 10MeWT showed a better accuracy to drive FAC classification. |
| first_indexed | 2024-03-11T01:14:33Z |
| format | Article |
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| institution | Directory Open Access Journal |
| issn | 2076-3425 |
| language | English |
| last_indexed | 2024-03-11T01:14:33Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Brain Sciences |
| spelling | doaj.art-5c3b19336af344c188e25da0940aa1082023-11-18T18:35:13ZengMDPI AGBrain Sciences2076-34252023-07-01137108910.3390/brainsci13071089Convergent Validity of the Timed Walking Tests with Functional Ambulatory Category in Subacute StrokeAlex Martino Cinnera0Serena Marrano1Daniela De Bartolo2Marco Iosa3Alessio Bisirri4Enza Leone5Alessandro Stefani6Giacomo Koch7Irene Ciancarelli8Stefano Paolucci9Giovanni Morone10Santa Lucia Foundation, Scientific Institute for Research, Hospitalization and Health Care (IRCCS), 00179 Rome, ItalySanta Lucia Foundation, Scientific Institute for Research, Hospitalization and Health Care (IRCCS), 00179 Rome, ItalySanta Lucia Foundation, Scientific Institute for Research, Hospitalization and Health Care (IRCCS), 00179 Rome, ItalySanta Lucia Foundation, Scientific Institute for Research, Hospitalization and Health Care (IRCCS), 00179 Rome, ItalyVilla Sandra Institute, Via Portuense, 798, 00148 Rome, ItalySchool of Allied Health Professions, Faculty of Medicine and Health Sciences, Keele University, Staffordshire ST5 5BG, UKDepartment of System Medicine, Faculty of Medicine and Surgery, University of Rome Tor Vergata, 00133 Rome, ItalySanta Lucia Foundation, Scientific Institute for Research, Hospitalization and Health Care (IRCCS), 00179 Rome, ItalyDepartment of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, ItalySanta Lucia Foundation, Scientific Institute for Research, Hospitalization and Health Care (IRCCS), 00179 Rome, ItalyDepartment of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, ItalyDetermining the walking ability of post-stroke patients is crucial for the design of rehabilitation programs and the correct functional information to give to patients and their caregivers at their return home after a neurorehabilitation program. We aimed to assess the convergent validity of three different walking tests: the Functional Ambulation Category (FAC) test, the 10-m walking test (10MeWT) and the 6-minute walking test (6MWT). Eighty walking participants with stroke (34 F, age 64.54 ± 13.02 years) were classified according to the FAC score. Gait speed evaluation was performed with 10MeWT and 6MWT. The cut-off values for FAC and walking tests were calculated using a receiver-operating characteristic (ROC) curve. Area under the curve (AUC) and Youden’s index were used to find the cut-off value. Statistical differences were found in all FAC subgroups with respect to walking speed on short and long distances, and in the Rivermead Mobility Index and Barthel Index. Mid-level precision (AUC > 0.7; <i>p</i> < 0.05) was detected in the walking speed with respect to FAC score (III vs. IV and IV vs. V). The confusion matrix and the accuracy analysis showed that the most sensitive test was the 10MeWT, with cut-off values of 0.59 m/s and 1.02 m/s. Walking speed cut-offs of 0.59 and 1.02 m/s were assessed with the 10MeWT and can be used in FAC classification in patients with subacute stroke between the subgroups able to walk with supervision and independently on uniform and non-uniform surfaces. Moreover, the overlapping walking speed registered with the two tests, the 10MeWT showed a better accuracy to drive FAC classification.https://www.mdpi.com/2076-3425/13/7/1089strokegaitwalking speedoutcome measuresgait disordersneurologic |
| spellingShingle | Alex Martino Cinnera Serena Marrano Daniela De Bartolo Marco Iosa Alessio Bisirri Enza Leone Alessandro Stefani Giacomo Koch Irene Ciancarelli Stefano Paolucci Giovanni Morone Convergent Validity of the Timed Walking Tests with Functional Ambulatory Category in Subacute Stroke Brain Sciences stroke gait walking speed outcome measures gait disorders neurologic |
| title | Convergent Validity of the Timed Walking Tests with Functional Ambulatory Category in Subacute Stroke |
| title_full | Convergent Validity of the Timed Walking Tests with Functional Ambulatory Category in Subacute Stroke |
| title_fullStr | Convergent Validity of the Timed Walking Tests with Functional Ambulatory Category in Subacute Stroke |
| title_full_unstemmed | Convergent Validity of the Timed Walking Tests with Functional Ambulatory Category in Subacute Stroke |
| title_short | Convergent Validity of the Timed Walking Tests with Functional Ambulatory Category in Subacute Stroke |
| title_sort | convergent validity of the timed walking tests with functional ambulatory category in subacute stroke |
| topic | stroke gait walking speed outcome measures gait disorders neurologic |
| url | https://www.mdpi.com/2076-3425/13/7/1089 |
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