48 research outputs found

    The forking effect

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    This study introduces the concept of the forking effect in the cryptocurrency market,specifically focusing on the impact of forking events on bitcoin, also called parent coin.We use a modified exponential GARCH model to examine the bitcoin's response inreturns and volatility. Our findings reveal that forking events do not significantlyaffect the bitcoin's returns but have a strong positive impact on its volatility, especially when considering market dynamics. Our model accounts for key features likevolatility clustering and fat-tailed distributions. Additionally, we observe that following a fork event, volatility remains elevated for the next three days, regardless ofother forking events, and the volatility impact does not increase when multiple forksoccur simultaneously on the same day

    Second-line targeted therapies after nivolumab-ipilimumab failure in metastatic renal cell carcinoma

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    Correction: Volume: 119 Pages: 200-201 DOI: 10.1016/j.ejca.2019.04.012 Published: SEP 2019Background: Nivolumab-ipilimumab demonstrated a survival benefit over sunitinib in first-line setting for metastatic renal cell carcinomas (mRCCs) and is becoming a new standard of care for naive patients with intermediate or poor risk prognosis (International mRCC Database Consortium). The efficacy of subsequent vascular endothelial growth factor receptor tyrosine kinase inhibitors (TKIs) after nivolumab-ipilimumab failure remains unclear. Methods: Medical records of mRCC patients treated with nivolumab-ipilimumab, who received subsequent TKI, as part of Checkmate 214 study were reviewed in 13 institutions. Baseline characteristics, outcome data including progression-free survival (PFS), response, overall survival (OS) and toxicities were retrospectively collected. Results: Overall 33 patients received subsequent TKI after nivolumab-ipilimumab failure. Median follow-up from start of subsequent TKI is 22 months (19-NR). Best response was assessed in 30 patients: 12 partial responses (36%), 13 stable diseases (39%) and five progressive diseases (15%). Median PFS from start of TKI was 8 months [5-13]. Median PFS with first-generation (sunitinib/pazopanib) and second-generation TKI (axitinib/cabozantinib) was 8 months [5-16] and 7 months (5-NA), respectively. PFS in second line was significantly longer in patients with a long first-line duration of response to the double immune checkpoint blockade (>= 6 months) with 8 versus 5 months for short responder (= 3. Conclusion: This is the first report of outcomes with TKI, after first-line nivolumab-ipilimumab failure. Median PFS suggests a sustained benefit of TKI and supports trials investigating the optimal sequence. (C) 2018 Published by Elsevier Ltd.Peer reviewe

    Development of a NanoBioAnalytical platform for "on-chip" qualification and quantification of platelet-derived microparticles.

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    International audienceBlood microparticles (MPs) are small membrane vesicles (50-1000nm), derived from different cell types. They are known to play important roles in various biological processes and also recognized as potential biomarkers of various health disorders. Different methods are currently used for the detection and characterization of MPs, but none of these methods is capable to quantify and qualify total MPs at the same time, hence, there is a need to develop a new approach for simultaneous detection, characterization and quantification of microparticles. Here we show the potential of surface plasmon resonance (SPR) method coupled to atomic force microscopy (AFM) to quantify and qualify platelet-derived microparticles (PMPs), on the whole nano-to micro-meter scale. The different subpopulations of microparticles could be determined via their capture onto the surface using specific ligands. In order to verify the correlation between the capture level and the microparticles concentration in solution, two calibration standards were used: Virus-Like Particles (VLPs) and synthetic beads with a mean diameter of 53nm and 920nm respectively. The AFM analysis of the biochip surface allowed metrological analysis of captured PMPs and revealed that more than 95% of PMPs were smaller than 300nm. Our results suggest that our NanoBioAnalytical platform, combining SPR and AFM, is a suitable method for a sensitive, reproducible, label-free characterization and quantification of MPs over a wide concentration range (≈107 to 1012 particles/mL; with a limit of detection (LOD) in the lowest ng/”L range) which matches with their typical concentrations in blood

    Identification of Heparin-Induced Thrombocytopenia in Surgical Critically Ill Patients by Using the HIT Expert Probability Score: An Observational Pilot Study

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    Background: Heparin-induced thrombocytopenia (HIT) remains a challenging diagnosis especially in surgical intensive care unit (SICU) patients. The aim of the study was to evaluate for the first time the diagnostic accuracy of the HIT Expert Probability (HEP) score in the early identification of HIT in SICU patients. Methods: The HEP and 4Ts scores were calculated in all patients with suspected HIT during their stay in our SICU. The diagnosis of HIT was finally confirmed (HIT+ group) or excluded (HIT− group) by an independent committee blinded to the HEP and 4Ts score values. The primary outcome was the sensitivity and specificity of a HEP score ≄ 5 for the diagnosis of HIT. The secondary outcome was the area under the ROC curve (AUC) of the HEP and 4Ts scores in the diagnosis of HIT. Results: Respectively 6 and 113 patients were included in the HIT+ and HIT− groups. A HEP score value ≄ 5 had a sensitivity (95% confidence interval (95% CI)) of 1.00 (0.55–1.00), and a specificity (95% CI) of 0.92 (0.86–0.96). The AUC (95% CI) was significantly higher for the HEP score versus for the 4Ts score (0.967 (0.922–1.000) versus 0.707 (0.449–0.965); p = 0.035). Conclusions: A HEP score value < 5 could be helpful to rule out HIT in SICU patients
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