Status
Conditions
Treatments
About
The peripheral arterial disease (PAD) has been associated with all-cause and cardiovascular mortality. Despite minimally invasive endovascular techniques, patients with critical limb-threatening ischemia (CLTI) have a poor prognosis with a high mortality that is comparable that of cancer.
The inflammatory activity has a crucial role for the development and prognosis of atherosclerosis. Recently, different inflammatory biomarkers such as the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and lymphocyte to monocyte ratio (LMR) have been associated with severity and prognosis in patients with PAD.
Additionally, patients with CLTI present several independent risk factors for malnutrition. For this reason, malnutrition represents an independent risk factor for mortality and post-operative complications. In this context, the Prognostic Nutritional Index (PNI) associates the nutritional and inflammatory status of patients.
This study shows the clinical applicability of the different pre-operative nutritional and inflammatory biomarkers in patients with CLTI. This study does not collect any patient identifiable information.
Full description
In order to show the relevance of patient's inflammatory status regarding the prognosis of PAD, this study establishes the correlation between pre-operative pro-inflammatory biomarkers represented by NLR, LMR and PLR with short-term mortality and major amputations at 6-months. Likewise, the association between the pre-operative PNI with short-term mortality and major amputation at 6-months revealing the impact of nutritional status.
The nutritional status was estimated by the PNI = (serum albumin g/dL x 10) + (lymphocytes/μL + 0.005).
The chi-squared test and Student t-test were used for variables that followed a normal distribution.
A non-parametric test was performed for the rest of variables (Mann-Whitney U). Spearman and Pearson correlations coefficients were calculated to determine the association between biomarkers and the hospital length-of-stay.
For the multivariate analysis a logistic regression was performed. A receiver operating characteristic (ROC) curve analysis was applied to establish a cut-off point with the corresponding area under the curve (AUC), 95% confidence interval (95%CI), sensitivity (S) and specificity (E) for short-term mortality and major amputation at six months.
Enrollment
Sex
Ages
Volunteers
Inclusion criteria
Exclusion criteria
310 participants in 1 patient group
Loading...
Data sourced from clinicaltrials.gov
Clinical trials
Research sites
Resources
Legal