• J Clin Epidemiol · Nov 2010

    Validation of the LASA fall risk profile for recurrent falling in older recent fallers.

    • G M E E Geeske Peeters, Saskia M F Pluijm, Natasja M van Schoor, Petra J M Elders, Lex M Bouter, and Paul Lips.
    • Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands. g.peeters@vumc.nl
    • J Clin Epidemiol. 2010 Nov 1;63(11):1242-8.

    ObjectivesThe fall risk profile developed in the Longitudinal Aging Study Amsterdam (LASA) identifies community-dwelling elderly at high risk for recurrent falling. This study assessed the predictive validity of this profile in older persons seeking care after a fall.Study Design And SettingThe LASA fall risk profile was completed for 408 persons of 65 years and older who consulted the emergency department or general practitioner after a fall. Falls were prospectively reported with a calendar during 1 year. Recurrent falling was defined as ≥ 2 falls within a period of 6 months.ResultsDuring 1 year of followup, 76 (18.6%) participants became recurrent fallers. The area under the receiver operating characteristic curve was 0.65 (95% confidence interval [95% CI]: 0.58-0.72). At a cutoff value of 8, the sensitivity was 56.6% (CI: 51.8-61.4), the specificity was 71.4% (CI: 67.0-75.8), the positive predictive value was 34.1% (CI: 29.5-38.7), and the negative predictive value was 85.6% (CI: 82.2-89.0).ConclusionThe discriminative ability of the LASA fall risk profile was moderate. The predictive validity of the LASA fall risk profile to identify recurrent fallers is limited among older persons who consulted the emergency department or general practitioner after a fall.Copyright © 2010 Elsevier Inc. All rights reserved.

      Pubmed     Full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…

What will the 'Medical Journal of You' look like?

Start your free 21 day trial now.

We guarantee your privacy. Your email address will not be shared.