Three simple clinical tests to accurately predict falls in people with Parkinson's disease.
Identifieur interne : 000724 ( Main/Exploration ); précédent : 000723; suivant : 000725Three simple clinical tests to accurately predict falls in people with Parkinson's disease.
Auteurs : Serene S. Paul [Australie] ; Colleen G. Canning ; Catherine Sherrington ; Stephen R. Lord ; Jacqueline C T. Close ; Victor S C. FungSource :
- Movement disorders : official journal of the Movement Disorder Society [ 1531-8257 ] ; 2013.
English descriptors
- KwdEn :
- Accidental Falls, Adult, Aged, Female, Follow-Up Studies, Humans, Male, Middle Aged, Multivariate Analysis, Parkinson Disease (complications), Postural Balance (physiology), Predictive Value of Tests, Probability, ROC Curve, Sensation Disorders (diagnosis), Sensation Disorders (etiology), Severity of Illness Index.
- MESH :
- complications : Parkinson Disease.
- diagnosis : Sensation Disorders.
- etiology : Sensation Disorders.
- physiology : Postural Balance.
- Accidental Falls, Adult, Aged, Female, Follow-Up Studies, Humans, Male, Middle Aged, Multivariate Analysis, Predictive Value of Tests, Probability, ROC Curve, Severity of Illness Index.
Abstract
Falls are a major cause of morbidity in Parkinson's disease (PD). The objective of this study was to identify predictors of falls in PD and develop a simple prediction tool that would be useful in routine patient care. Potential predictor variables (falls history, disease severity, cognition, leg muscle strength, balance, mobility, freezing of gait [FOG], and fear of falling) were collected for 205 community-dwelling people with PD. Falls were monitored prospectively for 6 months using monthly falls diaries. In total, 125 participants (59%) fell during follow-up. A model that included a history of falls, FOG, impaired postural sway, gait speed, sit-to-stand, standing balance with narrow base of support, and coordinated stability had high discrimination in identifying fallers (area under the receiver-operating characteristic curve [AUC], 0.83; 95% confidence interval [CI], 0.77-0.88). A clinical tool that incorporated 3 predictors easily determined in a clinical setting (falling in the previous year: odds ratio [OR], 5.80; 95% CI, 3.00-11.22; FOG in the past month: OR, 2.39; 95% CI, 1.19-4.80; and self-selected gait speed < 1.1 meters per second: OR, 1.86; 95% CI, 0.96-3.58) had similar discrimination (AUC, 0.80; 95% CI, 0.73-0.86) to the more complex model (P = 0.14 for comparison of AUCs). The absolute probability of falling in the next 6 months for people with low, medium, and high risk using the simple, 3-test tool was 17%, 51%, and 85%, respectively. In people who have PD without significant cognitive impairment, falls can be predicted with a high degree of accuracy using a simple, 3-test clinical tool. This tool enables individualized quantification of the risk of falling. © 2013 Movement Disorder Society.
DOI: 10.1002/mds.25404
PubMed: 23450694
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: 000A07
- to stream PubMed, to step Curation: 000A07
- to stream PubMed, to step Checkpoint: 000744
- to stream Ncbi, to step Merge: 003A74
- to stream Ncbi, to step Curation: 003A74
- to stream Ncbi, to step Checkpoint: 003A74
- to stream Main, to step Merge: 000724
- to stream Main, to step Curation: 000724
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Three simple clinical tests to accurately predict falls in people with Parkinson's disease.</title><author><name sortKey="Paul, Serene S" sort="Paul, Serene S" uniqKey="Paul S" first="Serene S" last="Paul">Serene S. Paul</name><affiliation wicri:level="1"><nlm:affiliation>Clinical and Rehabilitation Sciences Research Group, Faculty of Health Sciences, The University of Sydney, Sydney, New South Wales, Australia. serene.paul@sydney.edu.au</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Clinical and Rehabilitation Sciences Research Group, Faculty of Health Sciences, The University of Sydney, Sydney, New South Wales</wicri:regionArea><wicri:noRegion>New South Wales</wicri:noRegion></affiliation></author><author><name sortKey="Canning, Colleen G" sort="Canning, Colleen G" uniqKey="Canning C" first="Colleen G" last="Canning">Colleen G. Canning</name></author><author><name sortKey="Sherrington, Catherine" sort="Sherrington, Catherine" uniqKey="Sherrington C" first="Catherine" last="Sherrington">Catherine Sherrington</name></author><author><name sortKey="Lord, Stephen R" sort="Lord, Stephen R" uniqKey="Lord S" first="Stephen R" last="Lord">Stephen R. Lord</name></author><author><name sortKey="Close, Jacqueline C T" sort="Close, Jacqueline C T" uniqKey="Close J" first="Jacqueline C T" last="Close">Jacqueline C T. Close</name></author><author><name sortKey="Fung, Victor S C" sort="Fung, Victor S C" uniqKey="Fung V" first="Victor S C" last="Fung">Victor S C. Fung</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2013">2013</date><idno type="doi">10.1002/mds.25404</idno><idno type="RBID">pubmed:23450694</idno><idno type="pmid">23450694</idno><idno type="wicri:Area/PubMed/Corpus">000A07</idno><idno type="wicri:Area/PubMed/Curation">000A07</idno><idno type="wicri:Area/PubMed/Checkpoint">000744</idno><idno type="wicri:Area/Ncbi/Merge">003A74</idno><idno type="wicri:Area/Ncbi/Curation">003A74</idno><idno type="wicri:Area/Ncbi/Checkpoint">003A74</idno><idno type="wicri:Area/Main/Merge">000724</idno><idno type="wicri:Area/Main/Curation">000724</idno><idno type="wicri:Area/Main/Exploration">000724</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Three simple clinical tests to accurately predict falls in people with Parkinson's disease.</title><author><name sortKey="Paul, Serene S" sort="Paul, Serene S" uniqKey="Paul S" first="Serene S" last="Paul">Serene S. Paul</name><affiliation wicri:level="1"><nlm:affiliation>Clinical and Rehabilitation Sciences Research Group, Faculty of Health Sciences, The University of Sydney, Sydney, New South Wales, Australia. serene.paul@sydney.edu.au</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Clinical and Rehabilitation Sciences Research Group, Faculty of Health Sciences, The University of Sydney, Sydney, New South Wales</wicri:regionArea><wicri:noRegion>New South Wales</wicri:noRegion></affiliation></author><author><name sortKey="Canning, Colleen G" sort="Canning, Colleen G" uniqKey="Canning C" first="Colleen G" last="Canning">Colleen G. Canning</name></author><author><name sortKey="Sherrington, Catherine" sort="Sherrington, Catherine" uniqKey="Sherrington C" first="Catherine" last="Sherrington">Catherine Sherrington</name></author><author><name sortKey="Lord, Stephen R" sort="Lord, Stephen R" uniqKey="Lord S" first="Stephen R" last="Lord">Stephen R. Lord</name></author><author><name sortKey="Close, Jacqueline C T" sort="Close, Jacqueline C T" uniqKey="Close J" first="Jacqueline C T" last="Close">Jacqueline C T. Close</name></author><author><name sortKey="Fung, Victor S C" sort="Fung, Victor S C" uniqKey="Fung V" first="Victor S C" last="Fung">Victor S C. Fung</name></author></analytic><series><title level="j">Movement disorders : official journal of the Movement Disorder Society</title><idno type="eISSN">1531-8257</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Accidental Falls</term><term>Adult</term><term>Aged</term><term>Female</term><term>Follow-Up Studies</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Multivariate Analysis</term><term>Parkinson Disease (complications)</term><term>Postural Balance (physiology)</term><term>Predictive Value of Tests</term><term>Probability</term><term>ROC Curve</term><term>Sensation Disorders (diagnosis)</term><term>Sensation Disorders (etiology)</term><term>Severity of Illness Index</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Parkinson Disease</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Sensation Disorders</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Sensation Disorders</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Postural Balance</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Accidental Falls</term><term>Adult</term><term>Aged</term><term>Female</term><term>Follow-Up Studies</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Multivariate Analysis</term><term>Predictive Value of Tests</term><term>Probability</term><term>ROC Curve</term><term>Severity of Illness Index</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Falls are a major cause of morbidity in Parkinson's disease (PD). The objective of this study was to identify predictors of falls in PD and develop a simple prediction tool that would be useful in routine patient care. Potential predictor variables (falls history, disease severity, cognition, leg muscle strength, balance, mobility, freezing of gait [FOG], and fear of falling) were collected for 205 community-dwelling people with PD. Falls were monitored prospectively for 6 months using monthly falls diaries. In total, 125 participants (59%) fell during follow-up. A model that included a history of falls, FOG, impaired postural sway, gait speed, sit-to-stand, standing balance with narrow base of support, and coordinated stability had high discrimination in identifying fallers (area under the receiver-operating characteristic curve [AUC], 0.83; 95% confidence interval [CI], 0.77-0.88). A clinical tool that incorporated 3 predictors easily determined in a clinical setting (falling in the previous year: odds ratio [OR], 5.80; 95% CI, 3.00-11.22; FOG in the past month: OR, 2.39; 95% CI, 1.19-4.80; and self-selected gait speed < 1.1 meters per second: OR, 1.86; 95% CI, 0.96-3.58) had similar discrimination (AUC, 0.80; 95% CI, 0.73-0.86) to the more complex model (P = 0.14 for comparison of AUCs). The absolute probability of falling in the next 6 months for people with low, medium, and high risk using the simple, 3-test tool was 17%, 51%, and 85%, respectively. In people who have PD without significant cognitive impairment, falls can be predicted with a high degree of accuracy using a simple, 3-test clinical tool. This tool enables individualized quantification of the risk of falling. © 2013 Movement Disorder Society.</div></front></TEI><affiliations><list><country><li>Australie</li></country></list><tree><noCountry><name sortKey="Canning, Colleen G" sort="Canning, Colleen G" uniqKey="Canning C" first="Colleen G" last="Canning">Colleen G. Canning</name><name sortKey="Close, Jacqueline C T" sort="Close, Jacqueline C T" uniqKey="Close J" first="Jacqueline C T" last="Close">Jacqueline C T. Close</name><name sortKey="Fung, Victor S C" sort="Fung, Victor S C" uniqKey="Fung V" first="Victor S C" last="Fung">Victor S C. Fung</name><name sortKey="Lord, Stephen R" sort="Lord, Stephen R" uniqKey="Lord S" first="Stephen R" last="Lord">Stephen R. Lord</name><name sortKey="Sherrington, Catherine" sort="Sherrington, Catherine" uniqKey="Sherrington C" first="Catherine" last="Sherrington">Catherine Sherrington</name></noCountry><country name="Australie"><noRegion><name sortKey="Paul, Serene S" sort="Paul, Serene S" uniqKey="Paul S" first="Serene S" last="Paul">Serene S. Paul</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Santé/explor/MovDisordV3/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000724 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000724 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Santé
|area= MovDisordV3
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:23450694
|texte= Three simple clinical tests to accurately predict falls in people with Parkinson's disease.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:23450694" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a MovDisordV3
| This area was generated with Dilib version V0.6.23. |  |