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Ned Tijdschr Geneeskd ; 159: A8491, 2015.
Artículo en Holandés | MEDLINE | ID: mdl-25761294

RESUMEN

OBJECTIVE: To determine the predictive value of safety management system (VMS) screening questions for falling, delirium, and mortality, as punt down in the VMS theme 'Frail elderly'. DESIGN: Retrospective observational study. METHOD: We selected all patients ≥ 70 years who were admitted to non-ICU wards at the Deventer Hospital, the Netherlands, for at least 24 hours between 28 March 2011 and 10 June 2011. On admission, patients were screened with the VMS instrument by a researcher. Delirium and falls were recorded during hospitalisation. Six months after hospitalisation, data on mortality were collected. RESULTS: We included 688 patients with a median age of 78.7 (range: 70.0-97.1); 50.7% was male. The sensitivity of the screening for delirium risk was 82%, the specificity 62%. The sensitivity of the screening for risk of falling was 63%, the specificity 65%. Independent predictors for mortality within 6 months were delirium risk (odds ratio (OR): 2.3; 95% CI 1.1-3.2), malnutrition (OR: 2.1; 95% CI 1.3-3.5), admission to a non-surgical ward (OR: 3.0; 95% CI 1.8-5.1), and older age (OR: 1.1; 95%CI 1.0-1.1). Patients classified by the VMS theme 'Frail elderly' as having more risk factors had a higher risk of dying (p < 0.001). CONCLUSIONS: The VMS screening for delirium is a reasonably reliable instrument for identifying those elderly people with a high risk of developing this condition; the VMS sensitivity for fall risk is moderate. The number of positive VMS risk factors correlates with mortality and may therefore be regarded as a measure of frailty.


Asunto(s)
Accidentes por Caídas/estadística & datos numéricos , Delirio/diagnóstico , Anciano Frágil , Mortalidad , Administración de la Seguridad/normas , Accidentes por Caídas/prevención & control , Anciano , Anciano de 80 o más Años , Femenino , Anciano Frágil/estadística & datos numéricos , Hospitalización , Humanos , Masculino , Países Bajos , Oportunidad Relativa , Estudios Retrospectivos , Factores de Riesgo , Administración de la Seguridad/estadística & datos numéricos , Sensibilidad y Especificidad
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