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

3 Scopus citations


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
Issue number1
StatePublished - Feb 2019


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


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