Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2022
Gait evaluation in stroke hemiplegic patients using short physical performance battery.
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Itoh Shota, Ogino Takahiro, Kawakami Kenji, Miyake Kosuke, Iyoda Honoka, Imaizumi Hidenori, Nakajima Misaki, Kitahara Haruna, Sonoda Shigeru
Аннотация
OBJECTIVES: Falls can occur daily in stroke patients and appropriate independence assessments for fall prevention are required. Although previous studies evaluated the short physical performance battery (SPPB) in stroke patients, the relationship between SPPB and fall prediction and walking independence remains unclear. Therefore, we aimed to verify whether SPPB is a predictor of walking independence.
MATERIALS AND METHODS: The present study included 105 hemiplegic stroke patients who were admitted to the rehabilitation ward and gave consent to participate. Cross-sectional physical function and functional independence measure cognitive (FIM-C) evaluation were conducted in hemiplegic stroke patients. Logistic regression analysis using the increasing variable method (likelihood ratio) was performed to extract factors for walking independence. Cutoff values were calculated for the extracted items using the receiver operating-characteristic (ROC) curve.
RESULTS: Among 86 participants included in the final analysis, 36 were independent walkers and 50 were dependent walkers. In the logistic regression analysis, SPPB and FIM-C were extracted as factors for walking independence. The cutoff value was 7 [area under the curve (AUC), 0.94; sensitivity, 0.83; specificity, 0.73)] for SPPB and 32 (AUC, 0.83; sensitivity, 0.69; specificity, 0.57) for FIM-C in ROC analysis CONCLUSIONS: SPPB and FIM-C were extracted as factors for walking independence. Although SPPB alone cannot determine independent walking, combined assessment of SPPB with cognitive function may enable more accurate determination of walking independence.
MATERIALS AND METHODS: The present study included 105 hemiplegic stroke patients who were admitted to the rehabilitation ward and gave consent to participate. Cross-sectional physical function and functional independence measure cognitive (FIM-C) evaluation were conducted in hemiplegic stroke patients. Logistic regression analysis using the increasing variable method (likelihood ratio) was performed to extract factors for walking independence. Cutoff values were calculated for the extracted items using the receiver operating-characteristic (ROC) curve.
RESULTS: Among 86 participants included in the final analysis, 36 were independent walkers and 50 were dependent walkers. In the logistic regression analysis, SPPB and FIM-C were extracted as factors for walking independence. The cutoff value was 7 [area under the curve (AUC), 0.94; sensitivity, 0.83; specificity, 0.73)] for SPPB and 32 (AUC, 0.83; sensitivity, 0.69; specificity, 0.57) for FIM-C in ROC analysis CONCLUSIONS: SPPB and FIM-C were extracted as factors for walking independence. Although SPPB alone cannot determine independent walking, combined assessment of SPPB with cognitive function may enable more accurate determination of walking independence.