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  • Predicting delayed healing: The diagnostic accuracy of a venous leg ulcer risk assessment tool

    Author(s)
    Edwards, Helen E
    Parker, Christina N
    Miller, Charne
    Gibb, Michelle
    Kapp, Suzanne
    Ogrin, Rajna
    Anderson, Jacinta
    Coleman, Kerrie
    Smith, Dianne
    Finlayson, Kathleen J
    Griffith University Author(s)
    Ogrin, Rajna
    Year published
    2018
    Metadata
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    Abstract
    The aim of this study was to validate a newly developed tool that can predict the risk of failure to heal of a venous leg ulcer in 24 weeks. The risk assessment tool was validated, and performance of the tool was assessed using Area Under the Receiver Operating Characteristic Curve (AUC) analysis. Retrospective and prospective validation was conducted through multi-site, longitudinal studies. In the retrospective study (n = 318), 30% of ulcers did not heal within 24 weeks, with the tool demonstrating an AUC of 0.80 (95% CI, 0.68-0.93, P <.001) for the total score. In the prospective study across 10 clinical sites (n = 225), ...
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    The aim of this study was to validate a newly developed tool that can predict the risk of failure to heal of a venous leg ulcer in 24 weeks. The risk assessment tool was validated, and performance of the tool was assessed using Area Under the Receiver Operating Characteristic Curve (AUC) analysis. Retrospective and prospective validation was conducted through multi-site, longitudinal studies. In the retrospective study (n = 318), 30% of ulcers did not heal within 24 weeks, with the tool demonstrating an AUC of 0.80 (95% CI, 0.68-0.93, P <.001) for the total score. In the prospective study across 10 clinical sites (n = 225), 31% (n = 68) of ulcers did not heal within 24 weeks. Participants were classified with the RAT at enrolment as being at low risk (27%), moderate risk (53%) or high risk (20%) of delayed healing; the proportion of wounds unhealed at 24 weeks was 6%, 29% and 59%, respectively. Validation results of the total score indicated good discrimination and goodness of fit with an AUC of 0.78 (95% CI, 0.71-0.85, P <.001). Validation of this risk assessment tool offers assurance that realistic outcomes can be predicted for patients, and scores can guide early decisions on interventions to address specific risk factors for failing to heal, thus promoting timely healing.
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    Journal Title
    International Wound Journal
    Volume
    15
    Issue
    2
    DOI
    https://doi.org/10.1111/iwj.12859
    Subject
    Clinical sciences
    Nursing
    Science & Technology
    Life Sciences & Biomedicine
    Dermatology
    Surgery
    delayed healing
    Publication URI
    http://hdl.handle.net/10072/410011
    Collection
    • Journal articles

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