Mortality in Patients with Diabetic Foot Ulcers: Causes, Risk Factors, and Their Association with Evolution and Severity of Ulcer.
José Antonio RubioSara JiménezJosé Luis Lázaro MartínezPublished in: Journal of clinical medicine (2020)
Background: This study reviews the mortality of patients with diabetic foot ulcers (DFU) from the first consultation with a Multidisciplinary Diabetic Foot Team (MDFT) and analyzes the main cause of death, as well as the relevant clinical factors associated with survival. Methods: Data of 338 consecutive patients referred to the MDFT center for a new DFU during the 2008-2014 period were analyzed. Follow-up: until death or until 30 April 2020, for up to 12.2 years. Results: Clinical characteristics: median age was 71 years, 92.9% had type 2 diabetes, and about 50% had micro-macrovascular complications. Ulcer characteristics: Wagner grade 1-2 (82.3%), ischemic (49.2%), and infected ulcers (56.2%). During follow-up, 201 patients died (59.5%), 110 (54.7%) due to cardiovascular disease. Kaplan-Meier curves estimated a reduction in survival of 60% with a 95% confidence interval (95% CI), (54.7-65.3) at 5 years. Cox regression analysis adjusted to a multivariate model showed the following associations with mortality, with hazard ratios (HRs) (95% CI): age, 1.07 (1.05-1.08); HbA1c value < 7% (53 mmol/mol), 1.43 (1.02-2.0); active smoking, 1.59 (1.02-2.47); ischemic heart or cerebrovascular disease, 1.55 (1.15-2.11); chronic kidney disease, 1.86 (1.37-2.53); and ulcer severity (SINBAD system) 1.12 (1.02-1.26). Conclusion: Patients with a history of DFU have high mortality. Two less known predictors of mortality were identified: HbA1c value < 7% (53 mmol/mol) and ulcer severity.
Keyphrases
- end stage renal disease
- risk factors
- chronic kidney disease
- cardiovascular events
- cardiovascular disease
- type diabetes
- peritoneal dialysis
- ejection fraction
- newly diagnosed
- heart failure
- prognostic factors
- oxidative stress
- randomized controlled trial
- coronary artery disease
- electronic health record
- data analysis
- metabolic syndrome
- atrial fibrillation
- big data
- machine learning
- weight loss
- smoking cessation
- glycemic control
- cardiovascular risk factors