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Crit Care Resusc ; 12(1): 42-9, 2010 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-20196713

RESUMO

OBJECTIVE: To identify factors associated with the triage decision for patients classified as Society of Critical Care Medicine (SCCM) Triage Priority 3, and their outcomes. DESIGN: Single-centre, prospective, observational cohort study. SETTING: General intensive care unit in a tertiary regional hospital, over the 9 months January to September 2007. PATIENTS: SCCM Triage Priority 3 patients. RESULTS: All patients were followed up for at least 6 months. Among the 1346 triaged patients, 250 were classified as SCCM Triage Priority 3. Fewer than a third of these (76, 30.4%) were admitted to the ICU. Medical patients were more likely to be rejected than surgical or neurosurgical patients. Those with a poorer physicianpredicted chance of long-term survival were more likely to be rejected than those with a better predicted prognosis. The MPMII0-predicted mortality was higher for those denied ICU admission. Non-postoperative status (odds ratio [OR], 26.3) and physician-predicted risk > 50% of death within 1 month (OR, 11.8) were independently correlated with denial of ICU admission in a multiple logistic regression analysis. Cox regression analysis showed that independent risk factors for mortality were denial of ICU admission (hazard ratio [HR], 2.80), higher MPMII0-predicted mortality (HR, 1.12 for every 10% increment) and the presence of renal disease as an admission diagnosis (HR, 2.28). CONCLUSIONS: For SCCM Triage Priority 3 patients, postoperative status and better physician-predicted prognosis correlated with ICU admission. Patients had lower medium-term survival if they were denied ICU admission, or had higher MPMII0-predicted mortality, or renal disease as the admission diagnosis.


Assuntos
Estado Terminal/classificação , Estado Terminal/mortalidade , Unidades de Terapia Intensiva/estatística & dados numéricos , Seleção de Pacientes , Triagem , Idoso , Idoso de 80 Anos ou mais , Tomada de Decisões , Feminino , Hong Kong/epidemiologia , Mortalidade Hospitalar , Humanos , Estimativa de Kaplan-Meier , Masculino , Pessoa de Meia-Idade , Estudos Prospectivos
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