Critical care in the emergency department: A physiologic assessment and outcome evaluation
- PMID: 11099425
- DOI: 10.1111/j.1553-2712.2000.tb00492.x
Critical care in the emergency department: A physiologic assessment and outcome evaluation
Abstract
Objectives: The changing landscape of health care in this country has seen an increase in the delivery of care to critically ill patients in the emergency department (ED). However, methodologies to assess care and outcomes similar to those used in the intensive care unit (ICU) are currently lacking in this setting. This study examined the impact of ED intervention on morbidity and mortality using the Acute Physiology and Chronic Health Evaluation (APACHE II), the Simplified Acute Physiology Score (SAPS II), and the Multiple Organ Dysfunction Score (MODS).
Methods: This was a prospective, observational cohort study over a three-month period. Critically ill adult patients presenting to a large urban ED and requiring ICU admission were enrolled. APACHE II, SAPS II, and MODS scores and predicted mortality were obtained at ED admission, ED discharge, and 24, 48, and 72 hours in the ICU. In-hospital mortality was recorded.
Results: Eighty-one patients aged 64 +/- 18 years were enrolled during the study period, with a 30.9% in-hospital mortality. The ED length of stay was 5.9 +/- 2.7 hours and the hospital length of stay was 12.2 +/- 16.6 days. Nine (11.1%) patients initially accepted for ICU admission were later admitted to the general ward after ED intervention. Septic shock was the predominant admitting diagnosis. At ED admission, there was a significantly higher APACHE II score in nonsurvivors (23.0 +/- 6.0) vs survivors (19.8 +/- 6.5, p = 0.04), while there was no significant difference in SAPS II or MODS scores. The APACHE II, SAPS II, and MODS scores were significantly lower in survivors than nonsurvivors throughout the hospital stay (p </= 0.001). The hourly rates of change (decreases) in APACHE II, SAPS II, and MODS scores were significantly greater during the ED stay (-0.55 +/- 0.64, -1.02 +/- 1.10, and -0.16 +/- 0.43, respectively) than subsequent periods of hospitalization in survivors (p < 0.05). There was a significant decrease in APACHE II and SAPS II predicted mortality during the ED stay (-8.0 +/- 14.0% and -6.0 +/- 14.0%, respectively, p < 0.001) and equally at 24 hours in the ICU (-7.0 +/- 13.0% and -4.0 +/- 16.0%, respectively, p </= 0.02). The APACHE II and SAPS II predicted mortality approached actual in-hospital mortality at approximately 12 hours and 36 hours after ED admission (in the ICU), respectively.
Conclusions: The care provided during the ED stay for critically ill patients significantly impacts the progression of organ failure and mortality. Although this period is brief compared with the total length of hospitalization, physiologic determinants of outcome may be established before ICU admission. This study emphasizes the importance of ED intervention. It also suggests that unique physiologic assessment methodologies should be developed to examine the quality of patient care, improve the accuracy of prognostic decisions, and objectively measure the impact of clinical interventions and pathways in the ED setting.
Similar articles
-
"One-way-street" streamlined admission of critically ill trauma patients reduces emergency department length of stay.Intern Emerg Med. 2017 Oct;12(7):1019-1024. doi: 10.1007/s11739-016-1511-x. Epub 2016 Jul 29. Intern Emerg Med. 2017. PMID: 27473424
-
Utility of illness severity scoring for prediction of prolonged surgical critical care.J Trauma. 1996 Apr;40(4):513-8; discussion 518-9. doi: 10.1097/00005373-199604000-00002. J Trauma. 1996. PMID: 8614028
-
[Clinical characteristics of critically ill pregnant women with different admission methods to intensive care unit: data analysis from 2006 to 2019 in the university hospital].Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2021 Oct;33(10):1249-1254. doi: 10.3760/cma.j.cn121430-20210106-00013. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2021. PMID: 34955137 Chinese.
-
Severity scoring in the critically ill: part 1--interpretation and accuracy of outcome prediction scoring systems.Chest. 2012 Jan;141(1):245-252. doi: 10.1378/chest.11-0330. Chest. 2012. PMID: 22215834 Review.
-
Towards better mortality prediction in cancer patients in the ICU: a comparative analysis of prognostic scales: systematic literature review.Med Intensiva (Engl Ed). 2024 Dec;48(12):e30-e40. doi: 10.1016/j.medine.2024.07.009. Epub 2024 Aug 1. Med Intensiva (Engl Ed). 2024. PMID: 39095268
Cited by
-
Reorganising the pandemic triage processes to ethically maximise individuals' best interests.Intensive Care Med. 2010 Nov;36(11):1966-71. doi: 10.1007/s00134-010-1986-2. Epub 2010 Aug 6. Intensive Care Med. 2010. PMID: 20689927
-
Reducing mortality in sepsis: new directions.Crit Care. 2002 Dec;6 Suppl 3(Suppl 3):S1-18. doi: 10.1186/cc1860. Epub 2002 Dec 5. Crit Care. 2002. PMID: 12720570 Free PMC article. Review.
-
Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department.Medicine (Baltimore). 2019 Feb;98(6):e14197. doi: 10.1097/MD.0000000000014197. Medicine (Baltimore). 2019. PMID: 30732136 Free PMC article.
-
Critical emergency medicine unit: a new model to mitigate critically ill patient boarding in emergency department.J Anesth Analg Crit Care. 2025 Jul 10;5(1):42. doi: 10.1186/s44158-025-00262-x. J Anesth Analg Crit Care. 2025. PMID: 40640984 Free PMC article.
-
Critical care in the emergency department: an assessment of the length of stay and invasive procedures performed on critically ill ED patients.Scand J Trauma Resusc Emerg Med. 2009 Sep 24;17:47. doi: 10.1186/1757-7241-17-47. Scand J Trauma Resusc Emerg Med. 2009. PMID: 19778429 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical