Titre :

Predicting falls in elderly patients with chronic pain and other chronic conditions

Auteur(s) :

Lazkani, Aida [Auteur]
Delespierre, Tiba [Auteur]
Bauduceau, Bernard [Auteur]
Benattar-Zibi, Linda [Auteur]
Bertin, Philippe [Auteur]
Berrut, Gilles [Auteur]
Corruble, Emmanuelle [Auteur]
Danchin, Nicolas [Auteur]
Derumeaux, Genevieve [Auteur]
Doucet, Jean [Auteur]
Falissard, Bruno [Auteur]
Forette, Françoise [Auteur]
Hanon, Olivier [Auteur]
Pasquier, Florence [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Troubles cognitifs dégénératifs et vasculaires - U1171
Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Pinget, Michel [Auteur]
Ourabah, Rissane [Auteur]
Piedvache, Céline [Auteur]
Becquemont, Laurent [Auteur]

Titre de la revue :

Aging Clinical and Experimental Research

Nom court de la revue :

Aging Clin. Exp. Res.

Numéro :

27

Pagination :

653-661

Date de publication :

2015-10-01

ISSN :

1594-0667

Mot(s)-clé(s) en anglais :

Elderly
Chronic pain
Fall
Risk factor

Discipline(s) HAL :

Sciences du Vivant [q-bio]

Résumé en anglais : [en]

BACKGROUND: The aim was to identify fall predictors in elderly suffering from chronic pain (CP) and to test their applicability among patients with other chronic conditions. METHODS: 1,379 non-institutionalized patients ...
Lire la suite >BACKGROUND: The aim was to identify fall predictors in elderly suffering from chronic pain (CP) and to test their applicability among patients with other chronic conditions. METHODS: 1,379 non-institutionalized patients aged 65 years and older who were suffering from CP (S.AGE CP sub-cohort) were monitored every 6 months for 1 year. Socio-demographic, clinical and pain data and medication use were assessed at baseline for the association with falls in the following year. Falls were assessed retrospectively at each study visit. Logistic regression analyses were performed to identify fall predictors. The derived model was applied to two additional S.AGE sub-cohorts: atrial fibrillation (AF) (n = 1,072) and type-2 diabetes mellitus (T2DM) (n = 983). RESULTS: Four factors predicted falls in the CP sub-cohort: fall history (OR: 4.03, 95 % CI 2.79-5.82), dependency in daily activities (OR: 1.81, 95 % CI 1.27-2.59), age ≥75 (OR: 1.53, 95 % CI 1.04-2.25) and living alone (OR: 1.73, 95 % CI 1.24-2.41) (Area Under the Curve: AUC = 0.71, 95 % CI 0.67-0.75). These factors were relevant in AF (AUC = 0.71, 95 % CI 0.66-0.75) and T2DM (AUC = 0.67, 95 % CI 0.59-0.73) sub-cohorts. Fall predicted probability in CP, AF and T2DM sub-cohorts increased from 7, 7 and 6 % in patients with no risk factors to 59, 66 and 45 % respectively, in those with the four predictors. Fall history was the strongest predictor in the three sub-cohorts. CONCLUSIONS: Fall history, dependency in daily activities, age ≥75 and living alone are independent fall predictors in CP, AF and T2DM patients.Lire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

CHU Lille
CNRS
Inserm
Université de Lille

Collections :

• Lille Neurosciences & Cognition (LilNCog) - U 1172

Équipe(s) de recherche :

Troubles cognitifs dégénératifs et vasculaires

Date de dépôt :

2019-11-27T14:29:12Z