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Predicting Falls in Parkinson Disease: What Is the Value of Instrumented Testing in OFF Medication State?
BACKGROUND: Falls are a common complication of advancing Parkinson's disease (PD). Although numerous risk factors are known, reliable predictors of future falls are still lacking. The objective of this prospective study was to investigate clinical and instrumented tests of balance and gait in b...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4596567/ https://www.ncbi.nlm.nih.gov/pubmed/26443998 http://dx.doi.org/10.1371/journal.pone.0139849 |
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author | Hoskovcová, Martina Dušek, Petr Sieger, Tomáš Brožová, Hana Zárubová, Kateřina Bezdíček, Ondřej Šprdlík, Otakar Jech, Robert Štochl, Jan Roth, Jan Růžička, Evžen |
author_facet | Hoskovcová, Martina Dušek, Petr Sieger, Tomáš Brožová, Hana Zárubová, Kateřina Bezdíček, Ondřej Šprdlík, Otakar Jech, Robert Štochl, Jan Roth, Jan Růžička, Evžen |
author_sort | Hoskovcová, Martina |
collection | PubMed |
description | BACKGROUND: Falls are a common complication of advancing Parkinson's disease (PD). Although numerous risk factors are known, reliable predictors of future falls are still lacking. The objective of this prospective study was to investigate clinical and instrumented tests of balance and gait in both OFF and ON medication states and to verify their utility in the prediction of future falls in PD patients. METHODS: Forty-five patients with idiopathic PD were examined in defined OFF and ON medication states within one examination day including PD-specific clinical tests, instrumented Timed Up and Go test (iTUG) and computerized dynamic posturography. The same gait and balance tests were performed in 22 control subjects of comparable age and sex. Participants were then followed-up for 6 months using monthly fall diaries and phone calls. RESULTS: During the follow-up period, 27/45 PD patients and 4/22 control subjects fell one or more times. Previous falls, fear of falling, more severe motor impairment in the OFF state, higher PD stage, more pronounced depressive symptoms, higher daily levodopa dose and stride time variability in the OFF state were significant risk factors for future falls in PD patients. Increased stride time variability in the OFF state in combination with faster walking cadence appears to be the most significant predictor of future falls, superior to clinical predictors. CONCLUSION: Incorporating instrumented gait measures into the baseline assessment battery as well as accounting for both OFF and ON medication states might improve future fall prediction in PD patients. However, instrumented testing in the OFF state is not routinely performed in clinical practice and has not been used in the development of fall prevention programs in PD. New assessment methods for daylong monitoring of gait, balance and falls are thus required to more effectively address the risk of falling in PD patients. |
format | Online Article Text |
id | pubmed-4596567 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45965672015-10-20 Predicting Falls in Parkinson Disease: What Is the Value of Instrumented Testing in OFF Medication State? Hoskovcová, Martina Dušek, Petr Sieger, Tomáš Brožová, Hana Zárubová, Kateřina Bezdíček, Ondřej Šprdlík, Otakar Jech, Robert Štochl, Jan Roth, Jan Růžička, Evžen PLoS One Research Article BACKGROUND: Falls are a common complication of advancing Parkinson's disease (PD). Although numerous risk factors are known, reliable predictors of future falls are still lacking. The objective of this prospective study was to investigate clinical and instrumented tests of balance and gait in both OFF and ON medication states and to verify their utility in the prediction of future falls in PD patients. METHODS: Forty-five patients with idiopathic PD were examined in defined OFF and ON medication states within one examination day including PD-specific clinical tests, instrumented Timed Up and Go test (iTUG) and computerized dynamic posturography. The same gait and balance tests were performed in 22 control subjects of comparable age and sex. Participants were then followed-up for 6 months using monthly fall diaries and phone calls. RESULTS: During the follow-up period, 27/45 PD patients and 4/22 control subjects fell one or more times. Previous falls, fear of falling, more severe motor impairment in the OFF state, higher PD stage, more pronounced depressive symptoms, higher daily levodopa dose and stride time variability in the OFF state were significant risk factors for future falls in PD patients. Increased stride time variability in the OFF state in combination with faster walking cadence appears to be the most significant predictor of future falls, superior to clinical predictors. CONCLUSION: Incorporating instrumented gait measures into the baseline assessment battery as well as accounting for both OFF and ON medication states might improve future fall prediction in PD patients. However, instrumented testing in the OFF state is not routinely performed in clinical practice and has not been used in the development of fall prevention programs in PD. New assessment methods for daylong monitoring of gait, balance and falls are thus required to more effectively address the risk of falling in PD patients. Public Library of Science 2015-10-07 /pmc/articles/PMC4596567/ /pubmed/26443998 http://dx.doi.org/10.1371/journal.pone.0139849 Text en © 2015 Hoskovcová et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Hoskovcová, Martina Dušek, Petr Sieger, Tomáš Brožová, Hana Zárubová, Kateřina Bezdíček, Ondřej Šprdlík, Otakar Jech, Robert Štochl, Jan Roth, Jan Růžička, Evžen Predicting Falls in Parkinson Disease: What Is the Value of Instrumented Testing in OFF Medication State? |
title | Predicting Falls in Parkinson Disease: What Is the Value of Instrumented Testing in OFF Medication State? |
title_full | Predicting Falls in Parkinson Disease: What Is the Value of Instrumented Testing in OFF Medication State? |
title_fullStr | Predicting Falls in Parkinson Disease: What Is the Value of Instrumented Testing in OFF Medication State? |
title_full_unstemmed | Predicting Falls in Parkinson Disease: What Is the Value of Instrumented Testing in OFF Medication State? |
title_short | Predicting Falls in Parkinson Disease: What Is the Value of Instrumented Testing in OFF Medication State? |
title_sort | predicting falls in parkinson disease: what is the value of instrumented testing in off medication state? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4596567/ https://www.ncbi.nlm.nih.gov/pubmed/26443998 http://dx.doi.org/10.1371/journal.pone.0139849 |
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