| Predictors of time to healing deep pressure ulcers. | |
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MedLine Citation:
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PMID: 7546099 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Time to healing analysis methods (Kaplan-Meier time until healing curves) were used to compare time to healing deep pressure ulcers as a function of patient and wound characteristics at baseline and after two weeks of treatment. Time to healing was significantly reduced in patients who had a good nutritional status. Patients who were alert and coherent were also found to heal more expediently; however, mental status was not independently predictive of time to healing in the multivariable model. Larger wounds took longer to heal (median 20 days) than smaller wounds, but the difference was not statistically significant. After two weeks of treatment, ulcers in patients who were 60 to 70 years old, who had a good nutritional status at baseline and whose ulcers reduced at least 39 percent in size after two weeks, were found to heal much more expediently. Cox regression models showed that these factors were independently predictive of time until healing (Likelihood ratio statistic on 5 DF = 26.485, p < 0.001). Clinical assessments, both at baseline and regular intervals thereafter, may predict treatment outcome of full-thickness pressure ulcers. |
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Authors:
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L van Rijswijk; M Polansky |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Ostomy/wound management Volume: 40 ISSN: 0889-5899 ISO Abbreviation: Ostomy Wound Manage Publication Date: 1994 Oct |
Date Detail:
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Created Date: 1995-11-02 Completed Date: 1995-11-02 Revised Date: 2005-11-17 |
Medline Journal Info:
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Nlm Unique ID: 8912029 Medline TA: Ostomy Wound Manage Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 40-2, 44, 46-8 passim Citation Subset: N |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Aged Female Humans Male Nursing Assessment / methods* Nutritional Status Predictive Value of Tests Pressure Ulcer / nursing* Proportional Hazards Models Risk Factors Time Factors Wound Healing* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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