Jeffrey D Edwards1, Adam R Lucas, Patricia W Stone, W John Boscardin, R Adams Dudley. 1. 1Division of Pediatric Critical Care, Columbia University College of Physician and Surgeons, New York, NY. 2Department of Mathematics, Mills College, Oakland, CA. 3Columbia University School of Nursing, Columbia University, New York, NY. 4Center for Health Policy, Columbia University, New York, NY. 5Department of Epidemiology and Biostatistics, University of California, San Francisco, CA. 6Department of Medicine, University of California, San Francisco, CA. 7Division of Pulmonary and Critical Care, University of California, San Francisco, CA. 8Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, CA.
Abstract
OBJECTIVES: To determine the rate of unplanned PICU readmissions, examine the characteristics of index admissions associated with readmission, and compare outcomes of readmissions versus index admissions. DESIGN: Retrospective cohort analysis. SETTING: Ninety North American PICUs that participated in the Virtual Pediatric Intensive Care Unit Systems. PATIENTS: One hundred five thousand four hundred thirty-seven admissions between July 2009 and March 2011. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Unplanned PICU readmission within 48 hours of index discharge was the primary outcome. Summary statistics, bivariate analyses, and mixed-effects logistic regression model with random effects for each hospital were performed.There were 1,161 readmissions (1.2%). The readmission rate varied among PICUs (0-3.3%), and acute respiratory (56%), infectious (35%), neurological (28%), and cardiovascular (20%) diagnoses were often present on readmission. Readmission risk increased in patients with two or more complex chronic conditions (adjusted odds ratio, 1.72; p < 0.001), unscheduled index admission (adjusted odds ratio, 1.37; p < 0.001), and transfer to an intermediate unit (adjusted odds ratio, 1.29; p = 0.004, compared with ward). Trauma patients had a decreased risk of readmission (adjusted odds ratio, 0.67; p = 0.003). Gender, race, insurance, age more than 6 months, perioperative status, and nighttime transfer were not associated with readmission. Compared with index admissions, readmissions had longer median PICU length of stay (3.1 vs 1.7 d, p < 0.001) and higher mortality (4% vs 2.5%, p = 0.002). CONCLUSIONS: Unplanned PICU readmissions were relatively uncommon, but were associated with worse outcomes. Several patient and admission characteristics were associated with readmission. These data help identify high-risk patient groups and inform risk-adjustment for standardized readmission rates.
OBJECTIVES: To determine the rate of unplanned PICU readmissions, examine the characteristics of index admissions associated with readmission, and compare outcomes of readmissions versus index admissions. DESIGN: Retrospective cohort analysis. SETTING: Ninety North American PICUs that participated in the Virtual Pediatric Intensive Care Unit Systems. PATIENTS: One hundred five thousand four hundred thirty-seven admissions between July 2009 and March 2011. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Unplanned PICU readmission within 48 hours of index discharge was the primary outcome. Summary statistics, bivariate analyses, and mixed-effects logistic regression model with random effects for each hospital were performed.There were 1,161 readmissions (1.2%). The readmission rate varied among PICUs (0-3.3%), and acute respiratory (56%), infectious (35%), neurological (28%), and cardiovascular (20%) diagnoses were often present on readmission. Readmission risk increased in patients with two or more complex chronic conditions (adjusted odds ratio, 1.72; p < 0.001), unscheduled index admission (adjusted odds ratio, 1.37; p < 0.001), and transfer to an intermediate unit (adjusted odds ratio, 1.29; p = 0.004, compared with ward). Traumapatients had a decreased risk of readmission (adjusted odds ratio, 0.67; p = 0.003). Gender, race, insurance, age more than 6 months, perioperative status, and nighttime transfer were not associated with readmission. Compared with index admissions, readmissions had longer median PICU length of stay (3.1 vs 1.7 d, p < 0.001) and higher mortality (4% vs 2.5%, p = 0.002). CONCLUSIONS: Unplanned PICU readmissions were relatively uncommon, but were associated with worse outcomes. Several patient and admission characteristics were associated with readmission. These data help identify high-risk patient groups and inform risk-adjustment for standardized readmission rates.
Authors: Jay G Berry; David E Hall; Dennis Z Kuo; Eyal Cohen; Rishi Agrawal; Chris Feudtner; Matt Hall; Jacqueline Kueser; William Kaplan; John Neff Journal: JAMA Date: 2011-02-16 Impact factor: 56.272
Authors: Steven A Frost; Victor Tam; Evan Alexandrou; Leanne Hunt; Yenna Salamonson; Patricia M Davidson; Michael J A Parr; Ken M Hillman Journal: Crit Care Resusc Date: 2010-06 Impact factor: 2.159
Authors: Ognjen Gajic; Michael Malinchoc; Thomas B Comfere; Marcelline R Harris; Ahmed Achouiti; Murat Yilmaz; Marcus J Schultz; Rolf D Hubmayr; Bekele Afessa; J Christopher Farmer Journal: Crit Care Med Date: 2008-03 Impact factor: 7.598
Authors: Chris Feudtner; James E Levin; Rajendu Srivastava; Denise M Goodman; Anthony D Slonim; Vidya Sharma; Samir S Shah; Susmita Pati; Crayton Fargason; Matt Hall Journal: Pediatrics Date: 2009-01 Impact factor: 7.124
Authors: Lori A Herbst; Sanyukta Desai; Dan Benscoter; Karen Jerardi; Katie A Meier; Angela M Statile; Christine M White Journal: Transl Pediatr Date: 2018-10
Authors: Aline B Maddux; Peter M Mourani; Kristen Miller; Todd C Carpenter; Jaime LaVelle; Laura L Pyle; R Scott Watson; Tellen D Bennett Journal: Pediatr Crit Care Med Date: 2022-03-07 Impact factor: 3.971
Authors: Andrew H Smith; Vijay Anand; Mousumi Banerjee; Katherine E Bates; Marissa A Brunetti; David S Cooper; Jessica Lehrich; Kshitij P Mistry; Sara K Pasquali; Andrew Y Shin; Sarah Tabbutt; Michael Gaies Journal: Crit Care Med Date: 2018-12 Impact factor: 7.598