Prediction of delayed graft function after kidney transplantation : comparison between logistic regression and machine learning methods

Background: Predictive models for delayed graft function (DGF) after kidney transplantation are usually developed using logistic regression. We want to evaluate the value of machine learning methods in the prediction of DGF. Methods: 497 kidney transplantations from deceased donors at the Ghent University Hospital between 2005 and 2011 are included. A feature elimination procedure is applied to determine the optimal number of features, resulting in 20 selected parameters (24 parameters after conversion to indicator parameters) out of 55 retrospectively collected parameters. Subsequently, 9 distinct types of predictive models are fitted using the reduced data set: logistic regression (LR), linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), support vector machines (SVMs; using linear, radial basis function and polynomial kernels), decision tree (DT), random forest (RF), and stochastic gradient boosting (SGB). Performance of the models is assessed by computing sensitivity, positive predictive values and area under the receiver operating characteristic curve (AUROC) after 10-fold stratified cross-validation. AUROCs of the models are pairwise compared using Wilcoxon signed-rank test. Results: The observed incidence of DGF is 12.5 %. DT is not able to discriminate between recipients with and without DGF (AUROC of 52.5 %) and is inferior to the other methods. SGB, RF and polynomial SVM are mainly able to identify recipients without DGF (AUROC of 77.2, 73.9 and 79.8 %, respectively) and only outperform DT. LDA, QDA, radial SVM and LR also have the ability to identify recipients with DGF, resulting in higher discriminative capacity (AUROC of 82.2, 79.6, 83.3 and 81.7 %, respectively), which outperforms DT and RF. Linear SVM has the highest discriminative capacity (AUROC of 84.3 %), outperforming each method, except for radial SVM, polynomial SVM and LDA. However, it is the only method superior to LR. Conclusions: The discriminative capacities of LDA, linear SVM, radial SVM and LR are the only ones above 80 %. None of the pairwise AUROC comparisons between these models is statistically significant, except linear SVM outperforming LR. Additionally, the sensitivity of linear SVM to identify recipients with DGF is amongst the three highest of all models. Due to both reasons, the authors believe that linear SVM is most appropriate to predict DGF

A systematic review of infected descending thoracic aortic grafts and endografts

Objective: The objective of this study was to collect and critically analyze the current evidence on the modalities and results of treatment of descending thoracic aortic surgical graft (SG) and endograft (EG) infection, which represents a rare but dramatic complication after both surgical and endovascular aortic repair. Methods: A comprehensive electronic health database search (PubMed/MEDLINE, Scopus, Google Scholar, and the Cochrane Library) identified all articles that were published up to October 2017 reporting on thoracic aortic SG or EG infection. Observational studies, multicenter reports, single-center series and case reports, case-control studies, and guidelines were considered eligible if reporting specific results of treatment of descending thoracic aortic SG or EG infection. Comparisons of patients presenting with SG or EG infection and between invasive and conservative treatment were performed. Odds ratio (OR) meta-analyses were run when comparative data were available. Results: Forty-three studies reporting on 233 patients with infected SG (49) or EG (184) were included. Four were multicenter studies including 107 patients, all with EG infection, associated with a fistula in 91% of cases, with a reported overall survival at 2 years of 16% to 39%. The remaining 39 single-center studies included 49 patients with SG infection and 77 with EG infection. Association with aortoesophageal fistula was significantly more common with EG (60% vs 31%; P = .01). In addition, time interval from index procedure to infection was significantly shorter with EG (17 +/- 21 months vs 32 +/- 61 months; P = .03). Meta-analysis showed a trend of increased 1-year mortality in patients with SG infection compared with EG infection (pooled OR, 3.6; 95% confidence interval, 0.9-14.7; P = .073). Surgical management with infected graft explantation was associated with a trend toward lower 1-year mortality compared with graft preservation (pooled OR, 0.3; 95% confidence interval, 0.1-1.0; P = .056). Conclusions: Thoracic aortic EG infection is likely to occur more frequently in association with aortoesophageal fistulas and in a shorter time compared with SG infection. Survival is poor in both groups, especially in patients with SG infection. Surgical treatment with graft explantation seems to be the preferable choice in fit patients

Pharmacokinetic analysis after implantation of everolimus-eluting self-expanding stents in the peripheral vasculature

Background: A novel self-expanding drug-eluting stent was designed to release everolimus 225 mu g/cm(2) to prevent restenosis following peripheral arterial intervention. The purpose of this study was to measure the pharmacokinetic profile of everolimus following stent implantation. Methods: One hundred four patients with symptomatic peripheral arterial disease underwent implantation of everolimus-eluting stents in the femoropopliteal arteries. In a prespecified subset of 26 patients, blood samples for assay of everolimus content were collected prior to stent implantation, at 1, 4, and 8 hours postprocedure, prior to discharge, and at 1 month postproccdure. Results: A total of 39 stents, ranging from 28 mm to 100 mm in length, were implanted in 26 patients, resulting in a total delivered everolimus dose range of 3.0 to 7.6 mg. Following the procedure, the maximum observed everolimus blood concentrations (C-max) varied from 1.83 +/- 0.05 ng/mL after implantation of a single 80-mm stent to 4.66 +/- 1.78 ng/mL after implantation of two 100-mm stents. The mean time to peak concentration (T-max) varied from 6.8 hours to 35 hours. The pharmacokinetics of everolimus were dose-proportional in that dose-normalized C-max and area under the curve values were constant over the studied dose range. Conclusions: After implantation of everolimus-eluting self-expanding stents in the femoropopliteal arteries, systemic blood concentrations of everolimus are predictable and considerably lower than blood concentrations observed following safe oral administration of everolimus

Team perception of the radiation safety climate in the hybrid angiography suite : a cross-sectional study

Background: Good radiation safety practice in the angiosuite is essential to protect patients and healthcare workers. Most strategies aim to advance radiation safety through technological upgrades and educational initiatives. However, safety literature suggests that additional ways to improve radiation safety in the angiosuite do exist. The safety climate reflects the way team members perceive various key characteristics of their work environment and is closely related to relevant safety outcomes. A specific ‘radiation safety climate’ has not been described nor studied in the hybrid angiosuite. This study explores the radiation safety climate in the hybrid angiosuite and its relation to team members' radiation safety behavior, knowledge and motivation. Materials and Methods: Vascular surgeons, fellows/trainees and operating room nurses active in the angiosuite at five hospitals were invited to complete an online self-report questionnaire assessing the radiation safety climate (28 items); radiation safety behavior; radiation safety knowledge and radiation safety motivation. Relations between climate scores and behavior were investigated using Pearson correlations. Mediation was analyzed using the Baron and Kenny analysis. P-Values < 0.05 were considered statistically significant. Results: No major differences were identified in total radiation safety climate scores between centers or team member functions. Scale reliability for radiation safety climate was good to excellent (α > 0.663). Total radiation safety climate scores were positively related to the radiation safety behavior score (r=0.403; p=0.015). This relation was partially mediated by radiation safety knowledge (β=0.1730; 95% CI: [0.0475; 0.3512]), while radiation safety motivation did not act as a mediator: (β=0.010; 95% CI: [-0.0561; 0.0998]). Conclusion: A well-developed radiation safety climate in the hybrid angiosuite fosters positive radiation safety behaviors, which may partially be explained through improved radiation safety knowledge transfer. Further research on (radiation) safety climate and its impact on radiation safety-related outcome measures for patients is recommended

Gravity is an important determinant of Oxygenation during One-Lung Ventilation

The role of gravity in the redistribution of pulmonary blood flow during one-lung ventilation (OLV) has recently been questioned. To address this controversial but clinically important issue we used an experimental approach that allowed us to differentiate the effects of gravity from the effects of hypoxic pulmonary vasoconstriction on arterial oxygenation during OLV in patients scheduled for thoracic surger