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Early prediction of prolonged ventilator dependence in thermally injured patients

B J Sellers1, B L Davis, P W Larkin

  • 1Intermountain Burn Center and the Department of Surgery, University of Utah, Salt Lake City 84132, USA.

The Journal of Trauma
|January 7, 1998
PubMed

Insights

Predicting prolonged ventilator dependence (PVD) in burn patients early can help identify candidates for early tracheostomy. This study developed a predictive equation using objective clinical factors for better resource utilization.

Area of Science:

  • Medical research
  • Trauma and critical care
  • Burn patient management

Background:

  • Prolonged ventilator dependence (PVD) is a concern in intensive care settings.
  • Early tracheostomy may improve outcomes and resource use in trauma/ICU patients.
  • Predictive criteria for PVD in burn patients are needed.

Purpose of the Study:

  • To develop and validate criteria for predicting prolonged ventilator dependence (PVD) in burn patients.
  • To identify burn patients likely to require mechanical ventilation for over 14 days.
  • To inform decisions regarding early tracheostomy in burn care.

Main Methods:

  • Retrospective review of burn patients (age >= 16) requiring mechanical ventilation for >= 3 days (1990-1994).
  • Logistic regression analysis to create a predictive equation for PVD using full-thickness burn size, age, inhalation injury, and PaO2/FiO2 ratio on day 3.
  • Validation of the equation using data from 1995.

Main Results:

  • The predictive equation demonstrated good accuracy in identifying PVD.
  • An 82% prediction accuracy for PVD was observed in the initial cohort (1990-1994).
  • The equation achieved 90% accuracy when tested on a subsequent cohort (1995).

Conclusions:

  • Objective clinical variables can predict PVD in burn patients during the early postburn period.
  • The developed predictive model can aid in selecting patients for early tracheostomy studies.
  • Early identification of PVD risk can optimize resource allocation and patient management strategies.
Abstract

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