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Predicting 1-Year Mortality Rate for Patients Admitted With an Acute Exacerbation of Chronic Obstructive Pulmonary Disease to an Intensive Care Unit: An Opportunity for Palliative Care
Institution:1. Servicio de Medicina Preventiva y Gestión de la Calidad, Complejo Hospitalario de Navarra, Pamplona, Spain;2. Servicio de Medicina Nuclear, Complejo Hospitalario de Navarra, Pamplona, Spain;3. Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Spain;1. Department of Health Policy and Management, Center for Health Services and Outcomes Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD;2. Inova Fairfax Hospital Trauma Services, Falls Church, VA;3. Division of General Surgery, University of South Florida, Tampa, FL;4. Department of Medical Psychology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands;5. Division of Cancer Care and Epidemiology, Cancer Research Institute, Queen''s University, and Cancer Centre of Southeastern Ontario, Kingston General Hospital, Kingston, ON, Canada;6. Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
Abstract:The objective of this study was to develop a model to aid clinicians in better predicting 1-year mortality rate for patients with an acute exacerbation of chronic obstructive pulmonary disease admitted to the medical intensive care unit (ICU) with the goal of earlier initiation of palliative care and end-of-life communications in this patient population. This retrospective cohort study included patients from a medical ICU from April 1, 1995, to November 30, 2009. Data collected from the Acute Physiology and Chronic Health Evaluation III database included demographic characteristics; severity of illness scores; noninvasive and invasive mechanical ventilation time; ICU and hospital length of stay; and ICU, hospital, and 1-year mortality. Statistically significant univariate variables for 1-year mortality were entered into a multivariate model, and the independent variables were used to generate a scoring system to predict 1-year mortality rate. At 1-year follow-up, 295 of 591 patients died (50%). Age and hospital length of stay were identified as independent determinants of mortality at 1 year by using multivariate analysis, and the predictive model developed had an area under the operating curve of 0.68. Bootstrap analysis with 1000 iterations validated the model, age, and hospital length of stay, entered the model 100% of the time (area under the operating curve=0.687; 95% CI, 0.686-0.688). A simple model using age and hospital length of stay may be informative for providers willing to identify patients with chronic obstructive pulmonary disease with high 1-year mortality rate who may benefit from end-of-life communications and from palliative care.
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