BackgroundIpilimumab and vemurafenib have both been shown to improve survival in phase III trials of patients with metastatic melanoma. Although vemurafenib is associated with a rapid onset of activity, responses are often of limited duration. Conversely, responses to ipilimumab take time to develop, but can be durable. Currently, limited data exist on the sequencing of these agents in patients with the BRAFV600 mutation. The aim of this analysis was to identify factors that could potentially be used to optimise the order in which ipilimumab and BRAF inhibitors are administered in this patient population.MethodsThis was a retrospective, single-institution, analysis of patients treated with vemurafenib 960 mg or dabrafenib 150 mg twice-daily and ipilimumab 3 mg/kg every 3 weeks for 4 doses as part of a clinical trial or expanded access program. Eligible patients tested positive for the BRAFV600 mutation and had sequentially received treatment with vemurafenib or dabrafenib followed by ipilimumab, or vice versa.ResultsIn total, 34 BRAF-mutation positive patients were eligible, comprising six patients who received ipilimumab followed by a BRAF inhibitor, and 28 patients treated with a BRAF inhibitor who subsequently received ipilimumab. Of these 28 patients, 12 (43 %) had rapid disease progression resulting in death and were unable to complete ipilimumab treatment as per protocol. These patients were classified as having rapid disease progression. Median overall survival for rapid progressors was 5.7 months (95 % CI: 5.0–6.3), compared with 18.6 months (95 % CI: 3.2–41.3; p < 0.0001) for those patients who were able to complete ipilimumab treatment. Baseline factors associated with rapid progression were elevated lactate dehydrogenase, a performance status of 1 and the presence of brain metastases. Patients were more likely to have rapid disease progression if they had at least two of these risk factors at baseline.ConclusionsOur analysis suggests it may be possible to identify those patients at high risk of rapid disease progression upon relapse with a BRAF inhibitor who might not have time to subsequently complete ipilimumab treatment. We hypothesise that these BRAF-mutation positive patients may benefit from being treated with ipilimumab first.
Background A correlation between unsuccessful noninvasive ventilation (NIV) and poor outcome has been suggested in de-novo Acute Respiratory Failure (ARF) patients. Consequently, it is of paramount importance to identify accurate predictors of NIV outcome. The aim of our preliminary study is to evaluate the Diaphragmatic Thickening Fraction (DTF) and the respiratory rate/DTF ratio as predictors of NIV outcome in de-novo ARF patients. Methods Over 36 months, we studied patients admitted to the emergency department with a diagnosis of de-novo ARF and requiring NIV treatment. DTF and respiratory rate/DTF ratio were measured by 2 trained operators at baseline, at 1, 4, 12, 24, 48, 72 and 96 h of NIV treatment and/or until NIV discontinuation or intubation. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the ability of DTF and respiratory rate/DTF ratio to distinguish between patients who were successfully weaned and those who failed. Results Eighteen patients were included. We found overall good repeatability of DTF assessment, with Intra-class Correlation Coefficient (ICC) of 0.82 (95% confidence interval 0.72–0.88). The cut-off values of DTF for prediction of NIV failure were < 36.3% and < 37.1% for the operator 1 and 2 (p < 0.0001), respectively. The cut-off value of respiratory rate/DTF ratio for prediction of NIV failure was > 0.6 for both operators (p < 0.0001). Conclusion DTF and respiratory rate/DTF ratio may both represent valid, feasible and noninvasive tools to predict NIV outcome in patients with de-novo ARF. Trial registration ClinicalTrials.gov Identifier: NCT02976233, registered 26 November 2016.
A multimodal approach with FOLFOX-4 and radiotherapy is feasible and effective for the treatment of patients with resected high-risk gastric cancer.
The rates of recurrent venous thromboembolism (RVTE) vary widely, and its causes still need to be elucidated. Statistical multivariate methods can be used to determine disease predictors and improve current methods for risk calculation. The objective of this study was to apply principal component analysis to a set of data containing clinical records of patients with previous venous thromboembolism and extract the main factors that predict recurrent thrombosis. Records of 39 factors including blood and lipid parameters, hereditary thrombophilia, antiphospholipid syndrome, clinical data regarding previous thrombosis and treatment, and Doppler ultrasound results were collected from 235 patients. The results showed that 13 principal components were associated with RVTE and that 18 of 39 factors are the important for the analysis. These factors include red blood cell, white blood cell, hematocrit, red cell distribution width, glucose, lipids, natural anticoagulant, creatinine, age, as well as first deep vein thrombosis data (distal/proximal, d-dimer, and time of anticoagulation). The results demonstrated that simple clinical parameters easy to be collected can be used to predict rates of recurrence and to develop new clinical decision support systems to predict the rates of RVTE.
Single nucleotide polymorphisms (SNP) associated with Venous Thromboembolism (VTE) risk have been identified in European and American populations. Replicate SNPs associated with VTE in a Brazilian multicenter case-control study of the Southeast region. Patients with previous VTE assisted at the Outpatient Clinics of 3 centers of the Southeast Brazilian region were compared to normal controls of the same geographic region. We evaluated 29 SNPs associated with VTE risk in other populations, and 90 SNPs for stratification analysis of the population. Due to high admixture of Brazilian population and lack of previous studies, the calculation of the sample power was performed after genotyping. Sample size, allelic frequency and Hardy-Weinberg equilibrium were estimated. The association and odds ratio analyses were estimated by logistic regression and the results were adjusted for multiple tests using Bonferroni correction. The evaluation of the genetic structure similarity in the cases and controls was performed by AMOVA. 436 cases and 430 controls were included. It was demonstrated that this sample has a statistical power to detect a genetic association of 79.4%. AMOVA showed that the genetic variability between groups was 0.0% and 100% within each group. None of the SNPs showed association with VTE in our population. A Brazilian multicenter case-control study with adequate sample power, high genetic variability though no stratification between groups, showed no replication of SNPs associated with VTE. The high admixture of Brazilian population may be responsible for these results, emphasizing the influence of the population genetic structure in association studies.
Background: Prediction of venous thrombosis recurrence is still a challenge. Vienna and Dash scores are widely used for this task, however its results represent only a percentage risk and does not considerate several factors that may influence recurrent thrombosis. In this context, artificial neural networks (ANN) could be a powerful tool to relate the clinical and laboratorial parameters with the risk of venous thrombosis recurrence. Aims: To obtain a ANN model which calculate whenever a patient may have rethrombosis based in his clinical and laboratorial parameters. Methods: Data of 240 patients with a history of Deep Vein Thrombosis (DVT) were included until one year after the thrombotic episode. Forty four clinical and laboratorial parameters were considered: gender, age, site of thrombosis, pulmonary embolism, proximal or distal lower limb thrombosis, provoked or unprovoked thrombosis, D-dimer, FV Leiden, G20210A prothrombin gene mutation, factor VIII, protein C, protein S, antithrombin, lupus anticoagulant, anticardiolipin, anti β2-GPI, antiphospholipid syndrome, body mass index, tabagism, hormonal therapy (for women), hemogram (leukocyte, platelet, hemoglobin, erythrocyte, hematocrit, RDW, MPV), HDL and LDL cholesterol, triglycerides, glycemia, creatinine, C-reative protein, diabetes mellitus, arterial hypertension, dyslipidemia, liver and/or renal failure, cancer, residual venous thrombus on US doppler, sickle-cell disease, anticoagulant treatment including drug and duration. All these variables were used as ANN inputs. The occurrence (or not) of rethrombosis was used as output in a yes/no (1/-1) form. The data were randomly divided into train (60 %), test (15 %), and validation (15 %) data. ANNs with one and two hidden layers were tested. The number of neurons varied from 5 to 35 at the first hidden layer and from 5 to 20 at the second hidden layer. ANNs were trained using the Powell method, minimizing the sum of quadratic errors between the calculated and the experimental response. Results: The ANN that gave the best result contained 44 neurons in the input layer, 5 neurons in the intermediate layer and 1 neuron in the output layer. Figure 1 shows the correlation between the calculated and the experimental outputs, which are very high. The overall model correlation was 0,97. Figure 2 confirms this result: the absolute error between the experimental and the calculated value is very low, and are very near to zero in most cases. The mean average deviation obtained was 2.5 %. Conclusions: Our results suggest that using a set of clinical and laboratorial data to construct an ANN model could be an efficient tool to predict the recurrence of venous thrombosis. This finding must be repeated in the same group of study including a higher number of patients, and be validate in other populations to be used in clinical practice. We also intend to select the variables that could be related to recurrence of venous episode. Figure 1 Results obtained from 44-5-1 ANN. Figure 1. Results obtained from 44-5-1 ANN. Figure 2 Average error obtained for each patient. Figure 2. Average error obtained for each patient. Disclosures No relevant conflicts of interest to declare.
Neutrophil activation and neutrophil extracellular traps (NETs) have been associated with the pathogenesis of venous thromboembolism (VTE). Considering VTE-associated chronic sequelae, which suggest that some pathological mechanisms remain after the acute episode, we investigated whether neutrophil activation is increased in patients with a prior VTE at least one year before this investigation. Thirty-seven patients with prior VTE and 37 individuals with no history of VTE were included. Neutrophil activity was evaluated by the expression of the adhesive molecule activation-specific epitopes LFA-1 (CD11a) and MAC-1 (CD11b), chemotaxis, reactive oxygen species (ROS) and by MPO-DNA complexes as markers of NETs. The adhesive molecules sICAM-1 and sVCAM-1, involved in the cross talk between neutrophil and endothelial cells, were also evaluated. Patient neutrophils presented increased CD11a expression before and after TNF-α stimulus, whereas increased CD11b expression was observed only after TNF-α stimulus, as compared to controls. Neutrophil chemotaxis on both, basal state and after IL-8 stimulus, on circulating levels of sICAM-1 and sVCAM-1, and on MPO-DNA complexes were also increased in VTE patients. ROS release was similar between patients and controls. This is, to our knowledge, the first study to investigate neutrophil inflammatory activity in VTE patients a long period after an acute event (approximately 2 years). The results showed altered neutrophil activation patterns in these patients. While activated neutrophils can cause endothelial activation and injury, the activated endothelium can induce the release of NETs with consequent endothelial cytotoxicity, creating a vicious cycle of activation between neutrophils and endothelium that can lead to thrombosis. Graphical abstract VTE patients (approximately 2 years after the clinical event) present an altered neutrophil activation state evidenced by increased activity of the LFA-1 and Mac-1 adhesive molecules, as well as increased chemotaxis and circulating levels of NETs remnants. Circulating levels of ICAM-1 and VCAM-1, which are endothelial adhesive molecules, are also increased in VTE patients, suggesting not only an exacerbated endothelial activation and dysfunction, but also an interaction of the neutrophil adhesive molecules with their endothelial ligands, favoring the migration process of neutrophil.
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