Your browser doesn't support javascript.
loading
Prediction of healing progress of pressure ulcers by distribution analysis of protein markers on necrotic tissue: A retrospective cohort study.
Kitamura, Aya; Yoshida, Mikako; Minematsu, Takeo; Nakagami, Gojiro; Iizaka, Shinji; Fujita, Hideki; Naito, Ayumi; Takahashi, Kazuo; Mori, Taketoshi; Sanada, Hiromi.
Affiliation
  • Kitamura A; Department of Gerontological Nursing/Wound Care Management, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Yoshida M; Research Fellow of Japan Society for the Promotion of Science.
  • Minematsu T; Department of Life Support Technology (Molten), Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Nakagami G; Department of Gerontological Nursing/Wound Care Management, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Iizaka S; Department of Gerontological Nursing/Wound Care Management, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Fujita H; Department of Gerontological Nursing/Wound Care Management, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Naito A; Department of Dermatology, Nihon University School of Medicine, Tokyo, Japan.
  • Takahashi K; WOC Consultation room, Fujisawa City Hospital, Kanagawa, Japan.
  • Mori T; Department of Dermatology, Fujisawa City Hospital, Kanagawa, Japan.
  • Sanada H; Department of Life Support Technology (Molten), Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Wound Repair Regen ; 23(5): 772-7, 2015 Sep.
Article in En | MEDLINE | ID: mdl-25976913
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Wound Healing / Proteins / Pressure Ulcer Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Wound Repair Regen Journal subject: DERMATOLOGIA Year: 2015 Type: Article Affiliation country: Japan

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Wound Healing / Proteins / Pressure Ulcer Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Wound Repair Regen Journal subject: DERMATOLOGIA Year: 2015 Type: Article Affiliation country: Japan