Prognostic factors for delayed healing of complex wounds in adults: A scoping review.
Raquel Marques SilvaMarcos Venícius de Oliveira LopesPaulo Alexandre Silva RamosJoão Daniel Neves-AmadoPaulo Jorge Pereira AlvesPublished in: International wound journal (2023)
Complex or hard-to-heal wounds continue to be a challenge because of the negative impact they have on patients, caregivers, and all the associated costs. This study aimed to identify prognostic factors for the delayed healing of complex wounds. Five databases and grey literature were the sources used to research adults with pressure ulcers/injuries, venous leg ulcers, critical limb-threatening ischaemia, or diabetic foot ulcers and report the prognostic factors for delayed healing in all care settings. In the last 5 years, a total of 42 original peer-reviewed articles were deemed eligible for this scoping review that followed the JBI recommendations and checklist PRISMA-ScR. The most frequent prognostic factors found with statistical significance coinciding with various wound aetiologies were: gender (male), renal disease, diabetes, peripheral arterial disease, the decline in activities of daily life, wound duration, wound area, wound location, high-stage WIfI classification, gangrene, infection, previous ulcers, and low ankle brachial index. It will be essential to apply critical appraisal tools and assessment risk of bias to the included studies, making it possible to make recommendations for clinical practice and build prognostic models. Future studies are recommended because the potential for healing through identification of prognostic factors can be determined, thus allowing an appropriate therapeutic plan to be developed.
Keyphrases
- prognostic factors
- wound healing
- clinical practice
- palliative care
- type diabetes
- systematic review
- surgical site infection
- cardiovascular disease
- randomized controlled trial
- quality improvement
- drinking water
- white matter
- current status
- deep learning
- glycemic control
- newly diagnosed
- chronic kidney disease
- insulin resistance
- artificial intelligence
- skeletal muscle
- chronic pain
- health insurance