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Predicting wound healing rates and survival with the use of automated serial evaluations of burn wounds

  • Bradley A. Rittenhouse
  • , Julie A. Rizzo*
  • , Beth A. Shields
  • , Matthew P. Rowan
  • , James K. Aden
  • , José Salinas
  • , Craig A. Fenrich
  • , Sarah K. Shingleton
  • , Maria Serio-Melvin
  • , David M. Burmeister
  • , Leopoldo C. Cancio
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Healing of burn wounds is necessary for survival; however tracking progression or healing of burns is an inexact science. Recently, the relationship of mortality and wound healing has been documented with a software termed WoundFlow. The objective of the current study was to confirm various factors that impact burn wound healing, as well as to establish a timeline and rate of successful healing. A retrospective analysis was performed on adults (n = 115) with at least 20% TBSA burn that had at least two computer-based wound mappings. The % open wound (%OW) was calculated over time to document healing trajectory until successful healing or death. Only 2% of patients in the group with successful wound healing died. A decrease in the %OW of 0.8 (IQR: 0.7–1.1) was associated with survival. Disparities in wound healing trajectories between survivors and non-survivors were distinguishable by 2 weeks post-injury (P < 0.05). When %TBSA was stratified by decile, the 40–49% TBSA group had the highest healing rate. Taken together, the data indicate that wound healing trajectory (%OW) varies with injury severity and survival. As such, automated mapping of wound healing trajectory may provide valuable information concerning patient/prognosis, and may recommend early interventions to optimize wound healing.

Original languageEnglish
Pages (from-to)48-53
Number of pages6
JournalBurns
Volume45
Issue number1
DOIs
StatePublished - Feb 2019
Externally publishedYes

Keywords

  • Burns
  • Decision-support
  • Open wound size
  • Wound healing

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