Literature DB >> 25976913

Prediction of healing progress of pressure ulcers by distribution analysis of protein markers on necrotic tissue: A retrospective cohort study.

Aya Kitamura1,2, Mikako Yoshida3, Takeo Minematsu1, Gojiro Nakagami1, Shinji Iizaka1, Hideki Fujita4, Ayumi Naito5, Kazuo Takahashi6, Taketoshi Mori3, Hiromi Sanada1.   

Abstract

Predicting the short-term healing progress of pressure ulcers is important for providing timely and appropriate intervention. Although there are some prediction methods available, these are unsuitable for ulcers with abundant necrotic tissue. We aimed to elucidate the relationship between necrotic tissue alteration and protein distributions on ulcers to establish a new prediction method. Thirty-eight pressure ulcers were retrospectively analyzed. Protein distributions on necrotic tissue were evaluated by the wound blotting at three levels: marker protein positivity, signal patterns (speckled, heterogeneous, or homogeneous), and the occupation of heterogeneous pattern. Peroxidase, alkaline phosphatase, tumor necrosis factor α, and matrix metalloproteinase-2 were used as marker proteins. One-week necrotic tissue alteration was classified as liquefaction or nonliquefaction, and associations with protein distributions were analyzed. The peroxidase positivity was significantly higher in the liquefaction than in the nonliquefaction (p = 0.031). In peroxidase-positive samples, the proportion of nonliquefaction samples was significantly higher in the heterogeneous pattern (p = 0.029). In the heterogeneous-patterned samples, the proportion of samples with an occupation values greater than the median value tended to be higher in the nonliquefaction (p = 0.087). There was no significant relationship between liquefaction and other markers. Peroxidase positivity predicts 1-week liquefaction of necrotic tissue, while a heterogeneous pattern indicates nonliquefaction.
© 2015 by the Wound Healing Society.

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Year:  2015        PMID: 25976913     DOI: 10.1111/wrr.12316

Source DB:  PubMed          Journal:  Wound Repair Regen        ISSN: 1067-1927            Impact factor:   3.617


  3 in total

1.  Rapid detection of biofilm by wound blotting following sharp debridement of chronic pressure ulcers predicts wound healing: A preliminary study.

Authors:  Gojiro Nakagami; Gregory Schultz; Aya Kitamura; Takeo Minematsu; Kaname Akamata; Hiraku Suga; Masakazu Kurita; Chieko Hayashi; Hiromi Sanada
Journal:  Int Wound J       Date:  2019-11-04       Impact factor: 3.315

Review 2.  Sampling the skin surface chemistry for diagnosis and prognosis.

Authors:  Guy H M Stanley; Katie Wang; Patrick Daly; Christopher Lau; Aoife M O'Brien; Cheryl Hamill; Mark Fear; Fiona M Wood
Journal:  Wound Repair Regen       Date:  2022-06-17       Impact factor: 3.401

3.  Assessment of histopathology of wounds based on protein distribution detected by wound blotting.

Authors:  Aya Kitamura; Takeo Minematsu; Gojiro Nakagami; Hiromi Sanada
Journal:  SAGE Open Med       Date:  2018-11-14
  3 in total

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