Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Apr;88(4):486-490.
doi: 10.1097/TA.0000000000002550.

An analysis of outcomes and predictors of intensive care unit bouncebacks in a mature trauma system

Affiliations

An analysis of outcomes and predictors of intensive care unit bouncebacks in a mature trauma system

Eric H Bradburn et al. J Trauma Acute Care Surg. 2020 Apr.

Abstract

Background: With the recent birth of the Pennsylvania TQIP Collaborative, statewide data identified unplanned admissions to the intensive care unit (ICU) as an overarching issue plaguing the state trauma community. To better understand the impact of this unique population, we sought to determine the effect of unplanned ICU admission/readmission on mortality to identify potential predictors of this population. We hypothesized that ICU bounceback (ICUBB) patients would experience increased mortality compared with non-ICUBB controls and would likely be associated with specific patterns of complications.

Methods: The Pennsylvania Trauma Outcome Study database was retrospectively queried from 2012 to 2015 for all ICU admissions. Unadjusted mortality rates were compared between ICUBB and non-ICUBB counterparts. Multilevel mixed-effects logistic regression models assessed the adjusted impact of ICUBB on mortality and the adjusted predictive impact of 8 complications on ICUBB.

Results: A total of 58,013 ICU admissions were identified from 2012 to 2015. From these, 53,715 survived their ICU index admission. The ICUBB rate was determined to be 3.82% (2,054/53,715). Compared with the non-ICUBB population, ICUBB patients had a significantly higher mortality rate (12% vs. 8%; p < 0.001). In adjusted analysis, ICUBB was associated with a 70% increased odds ratio for mortality (adjusted odds ratio, 1.70; 95% confidence interval, 1.44-2.00; p < 0.001). Adjusted analysis of predictive variables revealed unplanned intubation, sepsis, and pulmonary embolism as the strongest predictors of ICUBB.

Conclusion: Intensive care unit bouncebacks are associated with worse outcomes and are disproportionately burdened by respiratory complications. These findings emphasize the importance of the TQIP Collaborative in identifying statewide issues in need of performance improvement within mature trauma systems.

Level of evidence: Epidemiological study, level III.

PubMed Disclaimer

References

    1. Fakhry SM, Leon S, Derderian C, Al-Harakeh H, Ferguson PL. Intensive care unit bounce back in trauma patients: an analysis of unplanned returns to the intensive care unit. J Trauma Acute Care Surg. 2013;74(6):1528–1533.
    1. Sahoo DH, Banga A, Guzman J, Reddy A. Re-admissions in medical intensive care unit in a tertiary referral centre: a questionnaire based study. Am J Respir Crit Care Med. 2013;187:A2798. https://www.atsjournals.org/doi/pdf/10.1164/ajrccm-conference.2013.187.1.... - DOI
    1. Rosenberg AL, Hofer TP, Hayward RA, Strachan C, Watts CM. Who bounces back? Physiologic and other predictors of intensive care unit readmission. Crit Care Med. 2001;29(3):511–518. https://www.ncbi.nlm.nih.gov/pubmed/?term=Who+bounces+back%3F+Physiologi....
    1. Christmas AB, Freeman E, Chisolm A, Fischer PE, Sachdev G, Jacobs DG, Sing RF. Trauma intensive care unit ‘bouncebacks’: identifying risk factors for unexpected return admission to the intensive care unit. Am Surg. 2014;80(8):778–782.
    1. Kramer AA, Higgins TL, Zimmerman JE. Intensive care unit readmissions in U.S. hospitals: patient characteristics, risk factors, and outcomes. Crit Care Med. 2012;40(1):3–10.

MeSH terms