BACKGROUND: The aim of the study was to create a reliable scoring system for the prediction of venous ulcer healing in patients treated with compression. METHODS: A prospective baseline study to identify risk factors for venous ulcer healing was undertaken between March 1999 and August 2001. All patients were treated with multilayer compression. A number of variables were related to 24-week healing rates. A Cox regression model was used to identify risk factors that predicted ulcer healing, from which a scoring system was developed and validated prospectively between February 2004 and March 2005. RESULTS: In the baseline study of 229 patients, patient age, ulcer chronicity and venous refill time (VRT) of 20 s or less were identified as risk factors. Using these factors and hazard ratios from the Cox regression analysis, the following formula was devised: Ulcerated Leg Severity Assessment (ULSA) score=age+chronicity-50 (when VRT is greater than 20 s). Patients with an ULSA score of 50 or less had higher 24-week ulcer healing rates than those with higher scores in both the baseline study (P<0.001, log rank test) and the validation study performed in 86 patients (P=0.007, log rank test). CONCLUSION: The ULSA score may help to identify patients with venous ulcers unlikely to respond to conventional treatment who could be offered alternative therapy. Copyright (c) 2006 British Journal of Surgery Society Ltd.
RCT Entities:
BACKGROUND: The aim of the study was to create a reliable scoring system for the prediction of venous ulcer healing in patients treated with compression. METHODS: A prospective baseline study to identify risk factors for venous ulcer healing was undertaken between March 1999 and August 2001. All patients were treated with multilayer compression. A number of variables were related to 24-week healing rates. A Cox regression model was used to identify risk factors that predicted ulcer healing, from which a scoring system was developed and validated prospectively between February 2004 and March 2005. RESULTS: In the baseline study of 229 patients, patient age, ulcer chronicity and venous refill time (VRT) of 20 s or less were identified as risk factors. Using these factors and hazard ratios from the Cox regression analysis, the following formula was devised: Ulcerated Leg Severity Assessment (ULSA) score=age+chronicity-50 (when VRT is greater than 20 s). Patients with an ULSA score of 50 or less had higher 24-week ulcer healing rates than those with higher scores in both the baseline study (P<0.001, log rank test) and the validation study performed in 86 patients (P=0.007, log rank test). CONCLUSION: The ULSA score may help to identify patients with venous ulcers unlikely to respond to conventional treatment who could be offered alternative therapy. Copyright (c) 2006 British Journal of Surgery Society Ltd.
Authors: Lisa Gould; Peter Abadir; Harold Brem; Marissa Carter; Teresa Conner-Kerr; Jeff Davidson; Luisa DiPietro; Vincent Falanga; Caroline Fife; Sue Gardner; Elizabeth Grice; John Harmon; William R Hazzard; Kevin P High; Pamela Houghton; Nasreen Jacobson; Robert S Kirsner; Elizabeth J Kovacs; David Margolis; Frances McFarland Horne; May J Reed; Dennis H Sullivan; Stephen Thom; Marjana Tomic-Canic; Jeremy Walston; Jo Anne Whitney; John Williams; Susan Zieman; Kenneth Schmader Journal: J Am Geriatr Soc Date: 2015-03-06 Impact factor: 5.562
Authors: Lisa Gould; Peter Abadir; Harold Brem; Marissa Carter; Teresa Conner-Kerr; Jeff Davidson; Luisa DiPietro; Vincent Falanga; Caroline Fife; Sue Gardner; Elizabeth Grice; John Harmon; William R Hazzard; Kevin P High; Pamela Houghton; Nasreen Jacobson; Robert S Kirsner; Elizabeth J Kovacs; David Margolis; Frances McFarland Horne; May J Reed; Dennis H Sullivan; Stephen Thom; Marjana Tomic-Canic; Jeremy Walston; JoAnne Whitney; John Williams; Susan Zieman; Kenneth Schmader Journal: Wound Repair Regen Date: 2015-02-13 Impact factor: 3.617
Authors: David A Jenkins; Sundus Mohamed; Joanne K Taylor; Niels Peek; Sabine N van der Veer Journal: Int Wound J Date: 2019-02-28 Impact factor: 3.315
Authors: Andreas Kerstan; Kathrin Dieter; Elke Niebergall-Roth; Ann-Kathrin Dachtler; Korinna Kraft; Markus Stücker; Georg Daeschlein; Michael Jünger; Tobias Görge; Ulrich Meyer-Pannwitt; Cornelia Erfurt-Berge; Charlotte von Engelhardt; Andreas Klare; Christiane Pfeiffer; Jasmina Esterlechner; Hannes M Schröder; Martin Gasser; Ana M Waaga-Gasser; Matthias Goebeler; Seda Ballikaya; Samar Sadeghi; George F Murphy; Dennis P Orgill; Natasha Y Frank; Christoph Ganss; Karin Scharffetter-Kochanek; Markus H Frank; Mark A Kluth Journal: JID Innov Date: 2021-10-25