| Literature DB >> 35470507 |
David J Margolis1, Nandita Mitra1, D Scott Malay2, Ziad K Mirza3, John C Lantis4, Hadar A Lev-Tov5, Robert S Kirsner5, Stephan R Thom6.
Abstract
Diabetic foot ulcers (DFU) are a critical problem for those with diabetes mellitus. Predicting the healing likelihood of a DFU is important to implementing appropriate care, allocating resources, having access to advanced therapies, having successful clinical trials, calibrating clinical trial results, and providing information to administrative entities on patient and provider outcomes. Prognostic modelling can also be important when attempting to compare results across trials or care centres. In a prospective cohort study, we demonstrate and replicate that simple wound characteristics like wound area and wound duration can be used to predict wound healing by the 16th week of care. The models were based on previous literature and replicated using a machine learning algorithm. The use of wound duration and wound area in a prognostic model continues to be important when comparing study results, centre-based outcomes, as well as designing clinical trials.Entities:
Mesh:
Year: 2022 PMID: 35470507 PMCID: PMC9246994 DOI: 10.1111/wrr.13019
Source DB: PubMed Journal: Wound Repair Regen ISSN: 1067-1927 Impact factor: 3.401