Prediction of chronic critical illness in a general intensive care unit

• Autor(a) principal: Loss, Sergio Henrique
• Data de Publicação: 2013
• Outros Autores: Marchese, Claudia Balhesteiro, Boniatti, Márcio Manozzo, Wawrzeniak, Iuri Christmann, Oliveira, Roselaine Pinheiro de, Nunes, Luciana Neves, Victorino, Josue Almeida
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFRGS
• Texto Completo: http://hdl.handle.net/10183/94968
• topic: Estatística aplicada; Estatística médica; Hospital mortality; Cost control; Prolonged mechanical ventilation; Critical illness

Objective: To assess the incidence, costs, and mortality associated with chronic critical illness (CCI), and to identify clinical predictors of CCI in a general intensive care unit. Methods: Thiswas a prospective observational cohort study. All patients receiving supportive treatment for over 20 dayswere considered chronically critically ill and eligible for the study. After applying the exclusion criteria, 453 patients were analyzed. Results: Therewas an 11% incidence of CCI. Total length of hospital stay, costs, and mortality were significantly higher among patients with CCI. Mechanical ventilation, sepsis, Glasgow score < 15, inadequate calorie intake, and higher body mass index were independent predictors for CCI in the multivariate logistic regression model. Conclusions: CCI affects a distinctive population in intensive care units with higher mortality, costs, and prolonged hospitalization. Factors identifiable at the time of admission or during the first week in the intensive care unit can be used to predict CCI.