title: Improved accuracy of burn wound assessment using laser Doppler.
abstract: The utility of the laser Doppler for determining burn depth has been questioned because of problems with technology and methodology. This study prospectively evaluates the ability of a new laser Doppler technique to predict burn healing time. Using the Periflux System 4000 laser Doppler, readings were taken on 305 burns (147 patients) on postburn day 3 or 4. Sixty-six wounds were used to derive a predictive function (phase I) and 152 wounds were used to test the function (phase II). Blood flow dynamics (flux), microvascular dilation capacity of the wounds to beat stress, and flow motion wave pattern (vasomotion) were studied using the laser Doppler, and seven parameters were evaluated to determine their relative contribution to the prediction of healing time. These parameters are hyperemic flux (flux value after heating to 42 degrees C), average hyperemic wave amplitude (AHWA), number of average flux units >100(F100), number readings with wave amplitude 75 (A5), average flux change (AFC), percentage of average flux increase, and relative flow capacity (RFC = AFC/average hyperemic flux). After readings were made, the wounds were observed and divided into two groups: those that healed in less than 14 days and those that healed or were grafted after 14 days. A step-wise discriminant analysis was used to assess the relative contribution of the Doppler-derived measures to healing time prediction. AHWA, F100, and RFC were included in the final discriminant function explaining 72% of the healing time variance (Wilks' lambda value 0.28; p value <0.0001). Predicted outcome = 0.05(AHWA) + 0.31(F100) + 5.0(RFC) - 2.3. With this derived function, there is 94% accuracy in the prediction of burn wound healing time compared with a physician predictive accuracy of 70%.
authors.affiliation: Department of Surgery, National Taiwan University Hospital, Taipei.
authors.forename: E K
authors.initials: EK
authors.lastname: Yeong
authors.forename: R
authors.initials: R
authors.lastname: Mann
authors.forename: M
authors.initials: M
authors.lastname: Goldberg
authors.forename: L
authors.initials: L
authors.lastname: Engrav
authors.forename: D
authors.initials: D
authors.lastname: Heimbach
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002056:Burns / Q000503:physiopathology*; D002648:Child; D002675:Child, Preschool; D016002:Discriminant Analysis; D005260:Female; D006801:Humans; D007223:Infant; D017078:Laser-Doppler Flowmetry; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D011446:Prospective Studies; D014945:Wound Healing