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JPEN J Parenter Enteral Nutr ; 33(1): 62-6, 2009.
Artículo en Inglés | MEDLINE | ID: mdl-18827070

RESUMEN

BACKGROUND: Studies have shown varying results with regard to risk factors for mortality after percutaneous endoscopic gastrostomy (PEG). OBJECTIVES: To examine the time to death in patients with dementia or significant cognitive impairment (SCI) due to neurologic injury who had undergone PEG compared with patients without either of these diagnoses, and to examine risk factors for 30-day mortality after PEG. METHODS: Patients who had undergone PEG over a 2-year period were identified. Local medical records and the Social Security Death Index were reviewed to ascertain the patients' age, gender, serum albumin, diagnoses, presence or absence of dementia or SCI, presence or absence of complications related to PEG, and length of survival after PEG. The Charlson Comorbidity Index (CCI) was calculated based on the medical diagnoses at the time of PEG. RESULTS: One hundred ninety patients were identified. Forty-five carried a diagnosis of dementia and/or SCI compared with 145 who did not. Median survival of patients with dementia or SCI was 53 days compared with 78 days in patients without these diagnoses (P=.85). Age (odds ratio [OR] 1.1, 95% confidence interval [CI] 1.04-1.12) and albumin (OR 0.43, 95% CI 0.22-0.84) were associated with 30-day mortality, whereas gender (OR 1.2, 95% CI 0.47-2.90), CCI (OR 1.1, 95% CI 0.86-1.32), and presence of PEG-related complications (OR 1.6, 95% CI 0.36-6.76) were not. CONCLUSIONS: Age and serum albumin are risk factors for 30-day mortality after PEG. Patients with dementia or SCI do not have a significantly shorter survival after PEG than patients with intact cognitive function.


Asunto(s)
Trastornos del Conocimiento/mortalidad , Demencia/mortalidad , Nutrición Enteral/efectos adversos , Gastrostomía/efectos adversos , Adulto , Anciano , Anciano de 80 o más Años , Trastornos Cerebrovasculares/complicaciones , Trastornos del Conocimiento/etiología , Demencia/etiología , Femenino , Humanos , Estimación de Kaplan-Meier , Modelos Logísticos , Masculino , Persona de Mediana Edad , Estudios Retrospectivos , Factores de Riesgo , Albúmina Sérica/análisis , Factores Sexuales , Adulto Joven
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