Literature DB >> 16688065

Readmission to surgical intensive care increases severity-adjusted patient mortality.

Rodrigo F Alban1, Abraham A Nisim, Jocelyn Ho, Gregg K Nishi, M Michael Shabot.   

Abstract

BACKGROUND: This study aims to determine whether severity-adjusted outcomes including mortality are adversely impacted by readmission to a surgical intensive care unit (SICU) during the same hospital stay.
METHODS: The study included all patients admitted to the 20-bed tertiary care SICU in an urban teaching Level I trauma center and multiorgan transplant center from January 1, 1996 to December 31, 2001. This was a prospective observational study with secondary data analysis. Acute Physiology and Chronic Health Evaluation (APACHE II) and Simplified Acute Physiology (SAPS) severity scores were calculated by a clinical information system. Outcomes were extracted from a computerized data warehouse.
RESULTS: In-hospital mortality and SICU length of stay (LOS) were measured for patients admitted and readmitted to the SICU. Of 10,840 patients admitted to the SICU, 296 (2.73%) required readmission to the SICU during the same hospital stay. The length of the original SICU stay was 4.9 +/- 6.7 days for readmitted patients compared with 3.2 +/- 6.0 days for nonreadmitted patients (p < 0.001). Readmitted patients had a higher mean APACHE II score on the day of original SICU discharge compared with nonreadmitted patients, 15.7 +/- 6.7 versus 13.8 +/- 7.1 (p < 0.001). The average APACHE II score increased from 15.7 +/- 6.7 to 18.1 +/- 8.6 between the day of SICU discharge and readmission (p < 0.001) and SAPS increased from 12.2 +/- 4.8 to 13.5 +/- 5.4 (p < 0.001). The distributions of severity-adjusted hospital mortality for both APACHE II and SAPS revealed that readmission to the SICU significantly increased mortality independent of the admission severity score.
CONCLUSIONS: Readmission to the SICU significantly increases the risk of death beyond that predicted by the APACHE II or SAPS scores alone. Higher APACHE II and SAPS scores upon discharge from the SICU and longer SICU LOS are associated with an increased incidence of readmission to the SICU on the same hospital stay. These results may be used to optimize the timing of SICU discharge and reduce the chance of readmission to intensive care.

Entities:  

Mesh:

Year:  2006        PMID: 16688065     DOI: 10.1097/01.ta.0000218217.42861.b7

Source DB:  PubMed          Journal:  J Trauma        ISSN: 0022-5282


  13 in total

1.  Preventing Early Bouncebacks to the Neurointensive Care Unit: A Retrospective Analysis and Quality Improvement Pilot.

Authors:  David G Coughlin; Monisha A Kumar; Neha N Patel; Rebecca L Hoffman; Scott E Kasner
Journal:  Neurocrit Care       Date:  2018-04       Impact factor: 3.210

2.  Intensive care performance: How should we monitor performance in the future?

Authors:  Tim K Timmers; Michiel Hj Verhofstad; Karl Gm Moons; Luke Ph Leenen
Journal:  World J Crit Care Med       Date:  2014-11-04

3.  Factors associated with increased risk of readmission to intensive care in Australia.

Authors:  J Renton; D V Pilcher; J D Santamaria; P Stow; M Bailey; G Hart; G Duke
Journal:  Intensive Care Med       Date:  2011-08-16       Impact factor: 17.440

Review 4.  Association of severity of illness and intensive care unit readmission: A systematic review.

Authors:  Evan G Wong; Ann M Parker; Doris G Leung; Emily P Brigham; Alicia I Arbaje
Journal:  Heart Lung       Date:  2016 Jan-Feb       Impact factor: 2.210

5.  Assessment of ICU readmission risk with the Stability and Workload Index for Transfer score.

Authors:  Daiane Ferreira Oakes; Ingrid Nemitz Krás Borges; Luiz Alberto Forgiarini Junior; Marcelo de Mello Rieder
Journal:  J Bras Pneumol       Date:  2014 Jan-Feb       Impact factor: 2.624

6.  Risk factors for intensive care unit readmission after lung transplantation: a retrospective cohort study.

Authors:  Hye-Bin Kim; Sungwon Na; Hyo Chae Paik; Hyeji Joo; Jeongmin Kim
Journal:  Acute Crit Care       Date:  2021-04-05

Review 7.  A meta-analysis to derive literature-based benchmarks for readmission and hospital mortality after patient discharge from intensive care.

Authors:  F Shaun Hosein; Derek J Roberts; Tanvir Chowdhury Turin; David Zygun; William A Ghali; Henry T Stelfox
Journal:  Crit Care       Date:  2014-12-31       Impact factor: 9.097

8.  The Modified Early Warning Score as a Predictive Tool During Unplanned Surgical Intensive Care Unit Admission.

Authors:  Annandita Kumar; Hussam Ghabra; Fiona Winterbottom; Michael Townsend; Philip Boysen; Bobby D Nossaman
Journal:  Ochsner J       Date:  2020

9.  Development and implementation of a risk identification tool to facilitate critical care transitions for high-risk surgical patients.

Authors:  Rebecca L Hoffman; Jason Saucier; Serena Dasani; Tara Collins; Daniel N Holena; Meghan Fitzpatrick; Boris Tsypenyuk; Niels D Martin
Journal:  Int J Qual Health Care       Date:  2017-06-01       Impact factor: 2.038

10.  Risk prediction of ICU readmission in a mixed surgical and medical population.

Authors:  Frida Kareliusson; Lina De Geer; Anna Oscarsson Tibblin
Journal:  J Intensive Care       Date:  2015-06-26
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