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J Am Geriatr Soc ; 47(7): 860-3, 1999 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-10404932

RESUMO

OBJECTIVE: To assess at Geriatric Evaluation and Management Unit (GEM) admission factors that affect mortality 12-months postdischarge and to develop a preliminary risk scoring protocol to guide targeting of GEM care. SETTING: A 24 bed-GEM at a Veterans Affairs (VA) Medical Center. DESIGN: Relative risks (RR) were assessed using prospective data; a risk protocol from 1988-1989 data was tested on 1990-1991 patients. SUBJECTS: A total of 283 male patients, aged 60 to 102, discharged over 4 years. RESULTS: Age at GEM admission did not correlate with death (r = .14; P = .145), but did correlate with risk scores (r = .33, P < .001). The risk protocol had a sensitivity of .67 and specificity of 1.00. High and low risk patients had mortalities of 51% versus 20%, a Wilcoxon (Gehan) statistic of 15.22, df = 1, and P < .001. Differences in mortality ceased about 100 days postdischarge. Three univariate RR exceeded 1.00 at a 99% Confidence Interval (CI): IADL score (RR: 1.12; CI, 1.03-1.21); nursing acuity score (RR: 1.78; CI: 1.02-3.11); and a primary diagnosis of pneumonia/sepsis (RR: 3.95; CI, 1.60-9.78). Four RRs exceeded 1.00 at a 90% CI: dementia (RR: 1.78; CI, 1.02-3.09); transfer into the GEM from a medical service (RR: 1.47; CI, 1.02-2.12); deconditioning/functional decline (RR: 1.67; CI, 1.12-2.48); and use of a Foley catheter (RR: 2.22; CI, 1.11-4.45). Thirteen other potential risk factors were found in a multivariate analysis. CONCLUSIONS: The point estimates of risk factors may help clinicians target GEM care, but the development of a useable risk protocol requires additional work. Causal models may be needed to assess patient conditions related to successful treatment in GEMs.


Assuntos
Avaliação Geriátrica , Hospitais de Veteranos , Mortalidade , Avaliação em Enfermagem , Medição de Risco , Idoso , Idoso de 80 Anos ou mais , Análise Discriminante , Florida/epidemiologia , Unidades Hospitalares , Humanos , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Alta do Paciente , Prognóstico , Estudos Prospectivos , Risco , Fatores de Risco , Sensibilidade e Especificidade , Análise de Sobrevida , Estados Unidos , United States Department of Veterans Affairs
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