Literature DB >> 24007311

Predicting complex acute wound healing in patients from a wound expertise centre registry: a prognostic study.

Dirk T Ubbink1,2, Robert Lindeboom3, Anne M Eskes4,5, Huub Brull6, Dink A Legemate2, Hester Vermeulen1,5.   

Abstract

It is important for caregivers and patients to know which wounds are at risk of prolonged wound healing to enable timely communication and treatment. Available prognostic models predict wound healing in chronic ulcers, but not in acute wounds, that is, originating after trauma or surgery. We developed a model to detect which factors can predict (prolonged) healing of complex acute wounds in patients treated in a large wound expertise centre (WEC). Using Cox and linear regression analyses, we determined which patient- and wound-related characteristics best predict time to complete wound healing and derived a prediction formula to estimate how long this may take. We selected 563 patients with acute wounds, documented in the WEC registry between 2007 and 2012. Wounds had existed for a median of 19 days (range 6-46 days). The majority of these were located on the leg (52%). Five significant independent predictors of prolonged wound healing were identified: wound location on the trunk [hazard ratio (HR) 0·565, 95% confidence interval (CI) 0·405-0·788; P = 0·001], wound infection (HR 0·728, 95% CI 0·534-0·991; P = 0·044), wound size (HR 0·993, 95% CI 0·988-0·997; P = 0·001), wound duration (HR 0·998, 95% CI 0·996-0·999; P = 0·005) and patient's age (HR 1·009, 95% CI 1·001-1·018; P = 0·020), but not diabetes. Awareness of the five factors predicting the healing of complex acute wounds, particularly wound infection and location on the trunk, may help caregivers to predict wound healing time and to detect, refer and focus on patients who need additional attention.
© 2013 The Authors. International Wound Journal © 2013 Medicalhelplines.com Inc and John Wiley & Sons Ltd.

Entities:  

Keywords:  Acute wounds; Prediction; Prognosis; Wound expertise centre; Wound healing

Mesh:

Year:  2013        PMID: 24007311      PMCID: PMC7950520          DOI: 10.1111/iwj.12149

Source DB:  PubMed          Journal:  Int Wound J        ISSN: 1742-4801            Impact factor:   3.315


  30 in total

1.  Which venous leg ulcers will heal with limb compression bandages?

Authors:  D J Margolis; J A Berlin; B L Strom
Journal:  Am J Med       Date:  2000-07       Impact factor: 4.965

Review 2.  Evidence-based decisions for local and systemic wound care.

Authors:  F E Brölmann; D T Ubbink; E A Nelson; K Munte; C M A M van der Horst; H Vermeulen
Journal:  Br J Surg       Date:  2012-07-06       Impact factor: 6.939

3.  A new concept of a multidisciplinary wound healing center and a national expert function of wound healing.

Authors:  F Gottrup; P Holstein; B Jørgensen; M Lohmann; T Karlsmar
Journal:  Arch Surg       Date:  2001-07

4.  The effects of diabetes mellitus on wound healing.

Authors:  A Terranova
Journal:  Plast Surg Nurs       Date:  1991

5.  Prognosis and prognostic research: what, why, and how?

Authors:  Karel G M Moons; Patrick Royston; Yvonne Vergouwe; Diederick E Grobbee; Douglas G Altman
Journal:  BMJ       Date:  2009-02-23

6.  Prognosis and prognostic research: Developing a prognostic model.

Authors:  Patrick Royston; Karel G M Moons; Douglas G Altman; Yvonne Vergouwe
Journal:  BMJ       Date:  2009-03-31

7.  Critical elements to building an effective wound care center.

Authors:  Paul J Kim; Karen K Evans; John S Steinberg; Mark E Pollard; Christopher E Attinger
Journal:  J Vasc Surg       Date:  2013-02-08       Impact factor: 4.268

Review 8.  Reporting methods in studies developing prognostic models in cancer: a review.

Authors:  Susan Mallett; Patrick Royston; Susan Dutton; Rachel Waters; Douglas G Altman
Journal:  BMC Med       Date:  2010-03-30       Impact factor: 8.775

Review 9.  Smoking and wound healing.

Authors:  P Silverstein
Journal:  Am J Med       Date:  1992-07-15       Impact factor: 4.965

Review 10.  Complex wounds.

Authors:  Marcus Castro Ferreira; Paulo Tuma; Viviane Fernandes Carvalho; Fábio Kamamoto
Journal:  Clinics (Sao Paulo)       Date:  2006-12       Impact factor: 2.365

View more
  3 in total

Review 1.  Assessing and comparing the quality of wound centres: a literature review and benchmarking pilot.

Authors:  Lotte Pruim; Anke Wind; Wim H van Harten
Journal:  Int Wound J       Date:  2017-06-13       Impact factor: 3.315

2.  Predicting Chronic Wound Healing Time Using Machine Learning.

Authors:  Matthew Berezo; Joshua Budman; Daniel Deutscher; Cathy Thomas Hess; Kyle Smith; Deanna Hayes
Journal:  Adv Wound Care (New Rochelle)       Date:  2021-10-11       Impact factor: 4.730

3.  Rapid identification of slow healing wounds.

Authors:  Kenneth Jung; Scott Covington; Chandan K Sen; Michael Januszyk; Robert S Kirsner; Geoffrey C Gurtner; Nigam H Shah
Journal:  Wound Repair Regen       Date:  2016-02-04       Impact factor: 3.617

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.