Literature DB >> 31916373

Risk factors affecting pressure ulcer healing: Impact of prescription medications.

Kenichi Arai1, Ko-Hei Yamamoto1, Takaaki Suzuki1, Nobuyuki Mitsukawa2, Itsuko Ishii1.   

Abstract

Treatment of pressure ulcers requires removing the cause as well as eliminating factors that interfere with healing. There are no reports on the effect of medications prescribed for underlying diseases on pressure ulcers. Accordingly, the aim of this study was to investigate whether medications prescribed to patients with pressure ulcers could be a factor that influences pressure ulcer healing. We retrospectively reviewed the records of patients with pressure ulcer who were admitted to Chiba University Hospital between June 2009 and June 2015. A total of 110 patients were included in this study. In univariate analysis, there were significant differences in corticosteroid use and total caloric intake. Logistic regression analysis was performed for four factors, including corticosteroid use and total caloric intake, which were significant at P < .05, plus the two factors malignancy and body mass index, which were previously reported as factors that may affect pressure ulcer healing. The results showed that corticosteroid use [odds ratio (OR) 0.205, 95% confidence interval (CI): 0.046 to 0.911, P = .037] and total caloric intake [OR 1.002, 95% CI: 1.000 to 1.003, P = .006] were significant risk factors influencing pressure ulcer healing. This study revealed that use of corticosteroids and total caloric intake could be risk factors affecting pressure ulcer healing. These findings provide useful information for the management of pressure ulcer.
© 2020 by the Wound Healing Society.

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Year:  2020        PMID: 31916373     DOI: 10.1111/wrr.12791

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


  2 in total

1.  Accelerated Wound Border Closure Using a Microemulsion Containing Non-Inhibitory Recombinant α1-Antitrypsin.

Authors:  Alon Gimmon; Lior Sherker; Lena Kojukarov; Melodie Zaknoun; Yotam Lior; Tova Fadel; Ronen Schuster; Eli C Lewis; Eldad Silberstein
Journal:  Int J Mol Sci       Date:  2022-07-01       Impact factor: 6.208

2.  Identifying the Risk Factors Associated with Nursing Home Residents' Pressure Ulcers Using Machine Learning Methods.

Authors:  Soo-Kyoung Lee; Juh Hyun Shin; Jinhyun Ahn; Ji Yeon Lee; Dong Eun Jang
Journal:  Int J Environ Res Public Health       Date:  2021-03-13       Impact factor: 3.390

  2 in total

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