A meta-analysis of six prospective studies of falling in Parkinson's disease
A meta-analysis of six prospective studies of falling in Parkinson's disease
Recurrent falls are a disabling feature of Parkinson's disease (PD). We have estimated the incidence of falling over a prospective 3 month follow-up from a large sample size, identified predictors for falling for PD patients repeated this analysis for patients without prior falls, and examined the risk of falling with increasing disease severity. We pooled six prospective studies of falling in PD (n = 473), and examined the predictive power of variables that were common to most studies. The 3-month fall rate was 46% (95% confidence interval: 38-54%). Interestingly, even among subjects without prior falls, this fall rate was 21% (12-35%). The best predictor of falling was two or more falls in the previous year (sensitivity 68%; specificity 81%). The risk of falling rose as UPDRS increased, to about a 60% chance of falling for UPDRS values 25 to 35, but remained at this level thereafter with a tendency to taper off towards later disease stages. These results confirm the high frequency of falling in PD, as almost 50% of patients fell during a short period of only 3 months. The strongest predictor of falling was prior falls in the preceding year, but even subjects without any prior falls had a considerable risk of sustaining future falls. Disease severity was not a good predictor of falls, possibly due to the complex U-shaped relation with falls. Early identification of the very first fall therefore remains difficult, and new prediction methods must be developed.
falling, prediction, sensitivity, specificity, parkinson's disease, meta-analysis, updrs
1892-1900
Pickering, Ruth M.
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Grimbergen, Yvette A.M.
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Rigney, Una
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Ashburn, Ann
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Mazibrada, Gordon
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Wood, Brian
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Gray, Peggy
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Kerr, Graham
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Bloem, Bastiaan R.
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22 June 2007
Pickering, Ruth M.
4a828314-7ddf-4f96-abed-3407017d4c90
Grimbergen, Yvette A.M.
85d1f213-54b2-4b63-bf2a-214d5c7d4c28
Rigney, Una
8deced42-a2e5-49ba-bf9b-883ab9f6fa79
Ashburn, Ann
818b9ce8-f025-429e-9532-43ee4fd5f991
Mazibrada, Gordon
012705ad-c840-4f2c-b984-72c717e7a3af
Wood, Brian
3a276070-2d03-4737-99b5-68a85d2c869d
Gray, Peggy
515627e4-55db-44ac-97bb-0191554e3e64
Kerr, Graham
05d599ac-1f69-4e17-9a35-26c7fa0926fb
Bloem, Bastiaan R.
f7dae676-55ef-4ed1-af54-28add016c371
Pickering, Ruth M., Grimbergen, Yvette A.M., Rigney, Una, Ashburn, Ann, Mazibrada, Gordon, Wood, Brian, Gray, Peggy, Kerr, Graham and Bloem, Bastiaan R.
(2007)
A meta-analysis of six prospective studies of falling in Parkinson's disease.
Movement Disorders, 22 (13), .
(doi:10.1002/mds.21598).
Abstract
Recurrent falls are a disabling feature of Parkinson's disease (PD). We have estimated the incidence of falling over a prospective 3 month follow-up from a large sample size, identified predictors for falling for PD patients repeated this analysis for patients without prior falls, and examined the risk of falling with increasing disease severity. We pooled six prospective studies of falling in PD (n = 473), and examined the predictive power of variables that were common to most studies. The 3-month fall rate was 46% (95% confidence interval: 38-54%). Interestingly, even among subjects without prior falls, this fall rate was 21% (12-35%). The best predictor of falling was two or more falls in the previous year (sensitivity 68%; specificity 81%). The risk of falling rose as UPDRS increased, to about a 60% chance of falling for UPDRS values 25 to 35, but remained at this level thereafter with a tendency to taper off towards later disease stages. These results confirm the high frequency of falling in PD, as almost 50% of patients fell during a short period of only 3 months. The strongest predictor of falling was prior falls in the preceding year, but even subjects without any prior falls had a considerable risk of sustaining future falls. Disease severity was not a good predictor of falls, possibly due to the complex U-shaped relation with falls. Early identification of the very first fall therefore remains difficult, and new prediction methods must be developed.
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Submitted date: 22 January 2007
Published date: 22 June 2007
Keywords:
falling, prediction, sensitivity, specificity, parkinson's disease, meta-analysis, updrs
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Local EPrints ID: 47932
URI: http://eprints.soton.ac.uk/id/eprint/47932
PURE UUID: 7e4f618c-cb2e-452b-95d3-2ef72e7ad25b
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Date deposited: 10 Aug 2007
Last modified: 15 Mar 2024 09:40
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Author:
Yvette A.M. Grimbergen
Author:
Una Rigney
Author:
Ann Ashburn
Author:
Gordon Mazibrada
Author:
Brian Wood
Author:
Peggy Gray
Author:
Graham Kerr
Author:
Bastiaan R. Bloem
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