A new algorithm to allow early prediction of mortality in elderly burn patients

James S. Davis, Angela T. Prescott, Robin P. Varas, Olga D. Quintana, Oscar Rosales, Louis R Pizano, Nicholas Namias, Carl I Schulman

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Introduction: The elderly are the fastest growing population segment, and particularly susceptible to burns. Predicting outcomes for these patients remains difficult. Our objective was to identify early predictors of mortality in elderly burn patients. Methods: Our Burn Center's prospective database was reviewed for burn patients 60+ treated in the past 10 years. Predictor variables were identified by correlative analysis and subsequently entered into a multivariate logistic regression analysis examining survival to discharge. Results: 203 patients of 1343 (15%) were eligible for analysis. The average age was 72 ± 10 (range 60-102) and the average total body surface area (TBSA) burned was 23 ± 18% (range 1-95). Age, TBSA, base deficit, pO 2, respiratory rate, Glasgow Coma Score (GCS), and Revised Trauma Score (RTS, based on systolic blood pressure, respiratory rate, and GCS) all correlated with mortality (p ≤ 0.05). Using multiple logistic regression analysis, a model with age, TBSA and RTS was calculated, demonstrating:increased risk of mortality=β0+1.12(age)+1.094(TBSA)+0.718(RTS) In this model, β0 is a constant that equals -8.32. Conclusions: Predicting outcomes in elderly burn patients is difficult. A model using age, TBSA, and RTS can, immediately upon patient arrival, help identify patients with decreased chances of survival, further guiding end-of-life decisions.

Original languageEnglish
Pages (from-to)1114-1118
Number of pages5
JournalBurns
Volume38
Issue number8
DOIs
StatePublished - Dec 1 2012

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Body Surface Area
Mortality
Respiratory Rate
Coma
Logistic Models
Regression Analysis
Blood Pressure
Burn Units
Survival
Burns
Databases
Wounds and Injuries
Population

Keywords

  • Burn
  • Elderly
  • Mortality
  • Prediction

ASJC Scopus subject areas

  • Emergency Medicine
  • Critical Care and Intensive Care Medicine
  • Surgery

Cite this

A new algorithm to allow early prediction of mortality in elderly burn patients. / Davis, James S.; Prescott, Angela T.; Varas, Robin P.; Quintana, Olga D.; Rosales, Oscar; Pizano, Louis R; Namias, Nicholas; Schulman, Carl I.

In: Burns, Vol. 38, No. 8, 01.12.2012, p. 1114-1118.

Research output: Contribution to journalArticle

Davis JS, Prescott AT, Varas RP, Quintana OD, Rosales O, Pizano LR et al. A new algorithm to allow early prediction of mortality in elderly burn patients. Burns. 2012 Dec 1;38(8):1114-1118. https://doi.org/10.1016/j.burns.2012.08.018
Davis, James S. ; Prescott, Angela T. ; Varas, Robin P. ; Quintana, Olga D. ; Rosales, Oscar ; Pizano, Louis R ; Namias, Nicholas ; Schulman, Carl I. / A new algorithm to allow early prediction of mortality in elderly burn patients. In: Burns. 2012 ; Vol. 38, No. 8. pp. 1114-1118.
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