Two faller risk functions for geriatric assessment unit patients View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1991-01

AUTHORS

Jacqueline McClaran {roDirector}, Francoise Forette, Jean-Louis Golmard, Marie-Pierre Hérvy, Patrice Bouchacourt

ABSTRACT

This study was done in order to construct a simple clinical failer predictor model, which quantifies risk for the individual elderly patient. Fifty patients sequentially admitted to a geriatric assessment unit were assessed systematically at admission for six potential failer risk factors: age, gait, speed, gait quality, gender, symptoms of urinary urgency, and symptoms of dizziness. Falls were systematically recorded during admission. Only age, abnormal gait, and self-selected gait speed were found to be associated with fallers. Multivariate analysis revealed that the two best models for predicting those most likely to be fallers were the factor subgroups: 1) age plus gait quality, and 2) age plus gait speed. The difference between the two models is the choice of gait measure incorporated. Gait speed is a continuous quantitative variable with no known limit of normal. Gait quality is a qualitative variable where abnormal gait is defined by clinical criteria. The predictability of each model was verified in another population (N=78). More... »

PAGES

5-12

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf02434841

DOI

http://dx.doi.org/10.1007/bf02434841

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1015853550


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/bf02434841'

N-Triples is a line-based linked data format ideal for batch operations.

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02434841'


 

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