Gait asymmetry, ankle spasticity, and depression as independent predictors of falls in ambulatory stroke patients

Falls are the leading cause of injury in stroke patients. However, the cause of a fall is complicated, and several types of risk factors are involved. Therefore, a comprehensive model to predict falls with high sensitivity and specificity is needed. This study was a prospective study of 112 inpatien...

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Veröffentlicht in:PloS one 2017-05, Vol.12 (5), p.e0177136-e0177136
Hauptverfasser: Wei, Ta-Sen, Liu, Peng-Ta, Chang, Liang-Wey, Liu, Sen-Yung
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description Falls are the leading cause of injury in stroke patients. However, the cause of a fall is complicated, and several types of risk factors are involved. Therefore, a comprehensive model to predict falls with high sensitivity and specificity is needed. This study was a prospective study of 112 inpatients in a rehabilitation ward with follow-up interviews in patients' homes. Evaluations were performed 1 month after stroke and included the following factors: (1) status of cognition, depression, fear of fall and limb spasticity; (2) functional assessments [walking velocity and the Functional Independence Measure (FIM)]; and (3) objective, computerized gait and balance analyses. The outcome variable was the number of accidental falls during the 6-month follow-up period after baseline measurements. The non-faller group exhibited significantly better walking velocity and FIM scale compared to the faller group (P < .001). The faller group exhibited higher levels of spasticity in the affected limbs, asymmetry of gait parameters in single support (P < .001), double support (P = .027), and step time (P = .003), and lower stability of center of gravity in the medial-lateral direction (P = .008). Psychological assessments revealed that the faller group exhibited more severe depression and lower confidence without falling. A multivariate logistic regression model identified three independent predictors of falls with high sensitivity (82.6%) and specificity (86.5%): the asymmetry ratio of single support [adjusted odds ratio, aOR = 2.2, 95% CI (1.2-3.8)], the level of spasticity in the gastrocnemius [aOR = 3.2 (1.4-7.3)], and the degree of depression [aOR = 1.4 (1.2-1.8)]. This study revealed depression, in additional to gait asymmetry and spasticity, as another independent factor for predicting falls. These results suggest that appropriate gait training, reduction of ankle spasticity, and aggressive management of depression may be critical to prevent falls in stroke patients.
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The faller group exhibited higher levels of spasticity in the affected limbs, asymmetry of gait parameters in single support (P &lt; .001), double support (P = .027), and step time (P = .003), and lower stability of center of gravity in the medial-lateral direction (P = .008). Psychological assessments revealed that the faller group exhibited more severe depression and lower confidence without falling. A multivariate logistic regression model identified three independent predictors of falls with high sensitivity (82.6%) and specificity (86.5%): the asymmetry ratio of single support [adjusted odds ratio, aOR = 2.2, 95% CI (1.2-3.8)], the level of spasticity in the gastrocnemius [aOR = 3.2 (1.4-7.3)], and the degree of depression [aOR = 1.4 (1.2-1.8)]. This study revealed depression, in additional to gait asymmetry and spasticity, as another independent factor for predicting falls. 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These results suggest that appropriate gait training, reduction of ankle spasticity, and aggressive management of depression may be critical to prevent falls in stroke patients.</description><subject>Accidental Falls</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Analysis</subject><subject>Ankle</subject><subject>Ankle - physiopathology</subject><subject>Assessments</subject><subject>Asymmetry</subject><subject>Balance</subject><subject>Biology and Life Sciences</subject><subject>Biomechanical Phenomena</subject><subject>Biomedical engineering</subject><subject>Center of gravity</subject><subject>Cognition</subject><subject>Depression (Mood disorder)</subject><subject>Depression - complications</subject><subject>Depression - physiopathology</subject><subject>Engineering</subject><subject>Falling</subject><subject>Falls</subject><subject>Fear</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Gait</subject><subject>Gait - physiology</subject><subject>Health aspects</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Lateral stability</subject><subject>Limbs</subject><subject>Male</subject><subject>Mathematical models</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Mental depression</subject><subject>Middle Aged</subject><subject>Muscle Spasticity - complications</subject><subject>Muscle Spasticity - diagnosis</subject><subject>Muscle Spasticity - physiopathology</subject><subject>Nursing homes</subject><subject>Patients</subject><subject>Physical Sciences</subject><subject>Physiology</subject><subject>Postural Balance</subject><subject>Prognosis</subject><subject>Prospective Studies</subject><subject>Psychological assessment</subject><subject>Regression analysis</subject><subject>Rehabilitation</subject><subject>Research and Analysis Methods</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Sensitivity</subject><subject>Spasticity</subject><subject>Stroke</subject><subject>Stroke - complications</subject><subject>Stroke - diagnosis</subject><subject>Stroke - physiopathology</subject><subject>Stroke - psychology</subject><subject>Stroke patients</subject><subject>Stroke Rehabilitation</subject><subject>Studies</subject><subject>Velocity</subject><subject>Walking</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1uL1DAUx4so7rr6DUQLgig4Y25NmxdhWXQdWFjw9hrSJJ3JbNp0k1Scb286012msg9SSNuT3_mfS3Ky7CUES4hL-HHrBt8Ju-xdp5cAliXE9FF2ChlGC4oAfnz0fZI9C2ELQIErSp9mJ6gqCEIVPM1uL4WJuQi7ttXR7z7koruxOg-9CNFIE_cWlSvdex2CcV1ic9Olf52WLubJroyMzofcNXkjrB33c9HWgxXJvMtD9O5G572IJjmE59mTRAX9YnqfZT-_fP5x8XVxdX25uji_WsiyqOKCUkgLJCutFKUFJUzVKX1MYFHTkjZEVgqWCpcMIAKl1KgolUSS1FRBwFiDz7LXB93eusCnbgUOWeoVJJigRKwOhHJiy3tvWuF33AnD9wbn11z41AWreQOUYgUWtCkLwkTDFMSgBDWtGljSGiatT1O0oW61kqlSL-xMdL7TmQ1fu9-8IARSAJLAu0nAu9tBh8hbE6S2VnTaDfu8MaSMVGPeb_5BH65uotYiFWC6xqW4chTl54ShFBOxMe_lA1R6lG6NTFerMck-c3g_c0hM1H_iWgwh8NX3b__PXv-as2-P2I0WNm6Cs0NMdy7MQXIApXcheN3cNxkCPk7GXTf4OBl8mozk9ur4gO6d7kYB_wUJkQj5</recordid><startdate>20170523</startdate><enddate>20170523</enddate><creator>Wei, Ta-Sen</creator><creator>Liu, Peng-Ta</creator><creator>Chang, Liang-Wey</creator><creator>Liu, Sen-Yung</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20170523</creationdate><title>Gait asymmetry, ankle spasticity, and depression as independent predictors of falls in ambulatory stroke patients</title><author>Wei, Ta-Sen ; Liu, Peng-Ta ; Chang, Liang-Wey ; Liu, Sen-Yung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-661652c8edd665649db0533415b676f4c8d17d3790241cce257dc2c4b6d1099f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Accidental Falls</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Analysis</topic><topic>Ankle</topic><topic>Ankle - physiopathology</topic><topic>Assessments</topic><topic>Asymmetry</topic><topic>Balance</topic><topic>Biology and Life Sciences</topic><topic>Biomechanical Phenomena</topic><topic>Biomedical engineering</topic><topic>Center of gravity</topic><topic>Cognition</topic><topic>Depression (Mood disorder)</topic><topic>Depression - complications</topic><topic>Depression - physiopathology</topic><topic>Engineering</topic><topic>Falling</topic><topic>Falls</topic><topic>Fear</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Gait</topic><topic>Gait - physiology</topic><topic>Health aspects</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Lateral stability</topic><topic>Limbs</topic><topic>Male</topic><topic>Mathematical models</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Mental depression</topic><topic>Middle Aged</topic><topic>Muscle Spasticity - complications</topic><topic>Muscle Spasticity - diagnosis</topic><topic>Muscle Spasticity - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wei, Ta-Sen</au><au>Liu, Peng-Ta</au><au>Chang, Liang-Wey</au><au>Liu, Sen-Yung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gait asymmetry, ankle spasticity, and depression as independent predictors of falls in ambulatory stroke patients</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-05-23</date><risdate>2017</risdate><volume>12</volume><issue>5</issue><spage>e0177136</spage><epage>e0177136</epage><pages>e0177136-e0177136</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Falls are the leading cause of injury in stroke patients. However, the cause of a fall is complicated, and several types of risk factors are involved. Therefore, a comprehensive model to predict falls with high sensitivity and specificity is needed. This study was a prospective study of 112 inpatients in a rehabilitation ward with follow-up interviews in patients' homes. Evaluations were performed 1 month after stroke and included the following factors: (1) status of cognition, depression, fear of fall and limb spasticity; (2) functional assessments [walking velocity and the Functional Independence Measure (FIM)]; and (3) objective, computerized gait and balance analyses. The outcome variable was the number of accidental falls during the 6-month follow-up period after baseline measurements. The non-faller group exhibited significantly better walking velocity and FIM scale compared to the faller group (P &lt; .001). The faller group exhibited higher levels of spasticity in the affected limbs, asymmetry of gait parameters in single support (P &lt; .001), double support (P = .027), and step time (P = .003), and lower stability of center of gravity in the medial-lateral direction (P = .008). Psychological assessments revealed that the faller group exhibited more severe depression and lower confidence without falling. A multivariate logistic regression model identified three independent predictors of falls with high sensitivity (82.6%) and specificity (86.5%): the asymmetry ratio of single support [adjusted odds ratio, aOR = 2.2, 95% CI (1.2-3.8)], the level of spasticity in the gastrocnemius [aOR = 3.2 (1.4-7.3)], and the degree of depression [aOR = 1.4 (1.2-1.8)]. This study revealed depression, in additional to gait asymmetry and spasticity, as another independent factor for predicting falls. These results suggest that appropriate gait training, reduction of ankle spasticity, and aggressive management of depression may be critical to prevent falls in stroke patients.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28542281</pmid><doi>10.1371/journal.pone.0177136</doi><tpages>e0177136</tpages><oa>free_for_read</oa></addata></record>
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subjects Accidental Falls
Aged
Aged, 80 and over
Analysis
Ankle
Ankle - physiopathology
Assessments
Asymmetry
Balance
Biology and Life Sciences
Biomechanical Phenomena
Biomedical engineering
Center of gravity
Cognition
Depression (Mood disorder)
Depression - complications
Depression - physiopathology
Engineering
Falling
Falls
Fear
Female
Follow-Up Studies
Gait
Gait - physiology
Health aspects
Hospitals
Humans
Lateral stability
Limbs
Male
Mathematical models
Medicine
Medicine and Health Sciences
Mental depression
Middle Aged
Muscle Spasticity - complications
Muscle Spasticity - diagnosis
Muscle Spasticity - physiopathology
Nursing homes
Patients
Physical Sciences
Physiology
Postural Balance
Prognosis
Prospective Studies
Psychological assessment
Regression analysis
Rehabilitation
Research and Analysis Methods
Risk analysis
Risk Factors
Sensitivity
Spasticity
Stroke
Stroke - complications
Stroke - diagnosis
Stroke - physiopathology
Stroke - psychology
Stroke patients
Stroke Rehabilitation
Studies
Velocity
Walking
title Gait asymmetry, ankle spasticity, and depression as independent predictors of falls in ambulatory stroke patients
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