Literature DB >> 22699035

Adverse outcomes associated with delayed intensive care consultation in medical and surgical inpatients.

Louay Mardini1, Jed Lipes, Dev Jayaraman.   

Abstract

PURPOSE: The impact of delay in obtaining an intensive care unit (ICU) consult from inpatient wards is unclear. The goal of this study was to examine the effect of time to ICU consult from medical and surgical wards on mortality and length of stay (LOS).
MATERIALS AND METHODS: This was a retrospective study of 241 adult medical and surgical inpatients admitted at 2 tertiary care ICUs in Canada between 2007 and 2009. Neither institution has medical emergency teams (METs). Patient demographics, time when the patient would have fulfilled MET calling criteria (MET time), time of ICU consult, and ICU admission were analyzed. The main outcome variables were 30-day mortality and ICU LOS.
RESULTS: Multivariate analysis demonstrated an increase in mortality (odds ratio, 1.8; 95% confidence interval, 1.1-2.9; P = .01) with increased duration from MET time to ICU consult for medical patients. There was no effect of this period on ICU LOS in medical patients. In contrast, in surgical patients, the MET time to ICU consult duration was associated with an increased ICU LOS (coefficient, 2.1 for delay; 95% confidence interval, 0.26-3.8; P = .02) but had no effect on mortality.
CONCLUSIONS: Increased duration to ICU consult from MET time is associated with adverse outcomes. These adverse outcomes are different between medical and surgical patients.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22699035     DOI: 10.1016/j.jcrc.2012.04.011

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  6 in total

1.  Real-Time Risk Prediction on the Wards: A Feasibility Study.

Authors:  Michael A Kang; Matthew M Churpek; Frank J Zadravecz; Richa Adhikari; Nicole M Twu; Dana P Edelson
Journal:  Crit Care Med       Date:  2016-08       Impact factor: 7.598

2.  Outcomes of direct and indirect medical intensive care unit admissions from the emergency department of an acute care hospital: a retrospective cohort study.

Authors:  Joseph Antonio D Molina; Eillyne Seow; Bee Hoon Heng; Wai Fung Chong; Benjamin Ho
Journal:  BMJ Open       Date:  2014-11-27       Impact factor: 2.692

3.  Prediction of Clinical Deterioration in Hospitalized Adult Patients with Hematologic Malignancies Using a Neural Network Model.

Authors:  Scott B Hu; Deborah J L Wong; Aditi Correa; Ning Li; Jane C Deng
Journal:  PLoS One       Date:  2016-08-17       Impact factor: 3.240

4.  Impact of a Local Low-Cost Ward-Based Response System in a Canadian Tertiary Care Hospital.

Authors:  Andrea Blotsky; Louay Mardini; Dev Jayaraman
Journal:  Crit Care Res Pract       Date:  2016-10-17

Review 5.  Artificial Intelligence for the Prediction of In-Hospital Clinical Deterioration: A Systematic Review.

Authors:  Lars I Veldhuis; Nicky J C Woittiez; Prabath W B Nanayakkara; Jeroen Ludikhuize
Journal:  Crit Care Explor       Date:  2022-08-26

6.  Changes in Care Provision During COVID-19 Impact Patient Well-Being.

Authors:  Judy J Wang; Jessica R Levi; Heather A Edwards
Journal:  J Patient Exp       Date:  2021-07-20
  6 in total

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