Literature DB >> 8601898

The influence of wound geometry on the measurement of wound healing rates in clinical trials.

D R Gorin1, P R Cordts, W W LaMorte, J O Manzoian.   

Abstract

PURPOSE: The comparison of wound healing rates in clinical trials presents a challenging problem. Wound healing typically has been expressed as a change in area over time or a percent change in area over time. These methods are inaccurate, however, when applied to wounds of varying size and shape. A relatively small amount of healing in a large wound will produce a greater change in area than in a smaller wound. Conversely, measurement of the percent change in area of a wound will tend to exaggerate the healing rates of smaller wounds. A method of calculating average linear healing of the wound edge toward the center of the wound has been proposed that should not be influenced by wound size: D = delatA divided by P, where D = linear healing, deltaA = change in area, and P = mean perimeter. The purpose of this study was to examine linear healing of the wound edge as a method of measuring wound healing in clinical trials.
METHODS: We observed 39 patients with venous stasis ulcers. The area, perimeter, length, and width of each wound were calculated with computerized planimetry. Change in area per day and linear healing rate of the wound edge per day were calculated. Multiple linear regression analysis was used to explore factors that influence wound healing as measured by these methods.
RESULTS: The change in area per day was significantly and independently influenced by initial area (p < .0001), perimeter (p < .0001), length (p < .00055), and width (p < .0175). Linear healing per day was not influenced by any geometric variable, including area, perimeter, length, width, and ratio of width to length.
CONCLUSION: Linear healing per day is a valid means of comparing wound healing rates in wounds of different dimensions. Linear healing per unit of time should be preferred to measurements of change in wound area to quantify wound healing rates in clinical trials.

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Year:  1996        PMID: 8601898     DOI: 10.1016/s0741-5214(96)80021-8

Source DB:  PubMed          Journal:  J Vasc Surg        ISSN: 0741-5214            Impact factor:   4.268


  22 in total

1.  Comparative analysis of two methods for wound bed area measurement.

Authors:  Sven Van Poucke; Roald Nelissen; Philippe Jorens; Yves Vander Haeghen
Journal:  Int Wound J       Date:  2010-10       Impact factor: 3.315

Review 2.  Methods to assess area and volume of wounds - a systematic review.

Authors:  Line Bisgaard Jørgensen; Jens A Sørensen; Gregor Be Jemec; Knud B Yderstraede
Journal:  Int Wound J       Date:  2015-08-06       Impact factor: 3.315

Review 3.  Prediction and monitoring the therapeutic response of chronic dermal wounds.

Authors:  Keith Moore; Roisin McCallion; Richard J Searle; Michael C Stacey; Keith G Harding
Journal:  Int Wound J       Date:  2006-06       Impact factor: 3.315

4.  Comparison of the effects of selected dressings on the healing of standardized abrasions.

Authors:  E E Claus; C F Fusco; T Ingram; C D Ingersoll; J E Edwards; T J Melham
Journal:  J Athl Train       Date:  1998-04       Impact factor: 2.860

5.  Periostin modulates myofibroblast differentiation during full-thickness cutaneous wound repair.

Authors:  Christopher G Elliott; Jian Wang; Xiaolei Guo; Shi-wen Xu; Mark Eastwood; Jianjun Guan; Andrew Leask; Simon J Conway; Douglas W Hamilton
Journal:  J Cell Sci       Date:  2012-01-20       Impact factor: 5.285

6.  The linear excisional wound: an improved model for human ex vivo wound epithelialization studies.

Authors:  Amilcar Ezequiel Rizzo; Laurel A Beckett; Brian S Baier; R Rivkah Isseroff
Journal:  Skin Res Technol       Date:  2011-05-24       Impact factor: 2.365

7.  A Simple Mathematical Model for Wound Closure Evaluation.

Authors:  Alejandra Vidal; Hugo Mendieta Zerón; Israel Giacaman; María Del Socorro Camarillo Romero; Sandra Parra López; Laura E Meza Trillo; David A Pérez Pérez; Miguel Concha; César Torres-Gallegos; Sandra L Orellana; Felipe Oyarzun-Ampuero; Ignacio Moreno-Villoslada
Journal:  J Am Coll Clin Wound Spec       Date:  2016-07-29

8.  Using a continuum model to predict closure time of gaps in intestinal epithelial cell layers.

Authors:  Julia C Arciero; Qi Mi; Maria Branca; David Hackam; David Swigon
Journal:  Wound Repair Regen       Date:  2013-02-19       Impact factor: 3.617

9.  Use of standardized, quantitative digital photography in a multicenter Web-based study.

Authors:  Joseph A Molnar; Wesley K Lew; Derek A Rapp; E Stanley Gordon; Denise Voignier; Scott Rushing; William Willner
Journal:  Eplasty       Date:  2009-01-12

10.  Inflammatory cytokine levels in chronic venous insufficiency ulcer tissue before and after compression therapy.

Authors:  Stephanie K Beidler; Christelle D Douillet; Daniel F Berndt; Blair A Keagy; Preston B Rich; William A Marston
Journal:  J Vasc Surg       Date:  2009-04       Impact factor: 4.268

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