Non-perturbative renormalization of the flavour singlet local vector current with O(aa)-improved Wilson fermions

We determine non-perturbatively the renormalization constant of the flavour singlet local vector current with O($a$)-improved Wilson fermions. The renormalization constant is fixed by comparing the expectation values (one-point function) of the local vector current and of the conserved one in thermal QCD in a moving reference frame with a non-zero imaginary chemical potential and in the chiral limit. We implement the method in QCD with 3 flavours discretized by the standard Wilson action for gluons and the non-perturbatively O($a$)-improved Wilson fermions. By carrying out extensive numerical simulations, the renormalization constant is determined with a permille precision for values of the bare coupling constant in the range $0.52 \leq g_0^2 \leq 1.13$

Non-perturbative renormalization of the QCD flavour-singlet local vector current

We compute non-perturbatively the renormalization constant of the flavour-singlet local vector current ZV in lattice QCD with 3 massless flavours. Gluons are discretized by the Wilson plaquette action while quarks by the O(a)-improved Wilson–Dirac operator. The constant ZV is fixed by comparing the expectation values (1-point functions) of the conserved and local vector currents at finite temperature in the presence of shifted boundary conditions and at non-zero imaginary chemical potential. Monte Carlo simulations with a moderate computational cost allow us to obtain ZV with an accuracy of about 8‰ for values of the inverse bare coupling constant β=6/g02 in the range 5.3≤β≤11.5.We compute non-perturbatively the renormalization constant of the flavour-singlet local vector current $Z_V$ in lattice QCD with 3 massless flavours. Gluons are discretized by the Wilson plaquette action while quarks by the O($a$)-improved Wilson--Dirac operator. The constant $Z_V$ is fixed by comparing the expectation values (1-point functions) of the conserved and local vector currents at finite temperature in the presence of shifted boundary conditions and at non-zero imaginary chemical potential. Monte Carlo simulations with a moderate computational cost allow us to obtain $Z_V$ with an accuracy of about 8‰ for values of the inverse bare coupling constant $\beta=6/g_0^2$ in the range $5.3 \leq \beta \leq 11.5$

Steroid-induced disappearance of primary central nervous system lymphoma. Clinical, neuroradiological and pathological findings

A 73-year-old man presented a progressive neurologic syndrome with impairment of multiple cranial nerves, ataxia and limb weakness. Neuroradiological evaluation showed multiple supra and infratentorial lesions, which completely disappeared after steroid treatment on two occasions. These neuroradiological modifications were closely correlated with clinical picture and CSF findings. Post-mortem examination showed multifocal primary CNS immunoblastic large cell lymphoma. Immunohistochemistry showed that the tumor was of B-cell origin

Steroid-induced disappearance of primary central nervous system lymphoma. Clinical, neuroradiological and pathological findings.

A 73-year-old man presented a progressive neurologic syndrome with impairment of multiple cranial nerves, ataxia and limb weakness. Neuroradiological evaluation showed multiple supra and infratentorial lesions, which completely disappeared after steroid treatment on two occasions. These neuroradiological modifications were closely correlated with clinical picture and CSF findings. Post-mortem examination showed multifocal primary CNS immunoblastic large cell lymphoma. Immunohistochemistry showed that the tumor was of B-cell origin

Apollo. A. 11(1995)

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Development and validation of a prediction model for severe respiratory failure in hospitalized patients with SARS-Cov-2 infection: a multicenter cohort study (PREDI-CO study)

We aimed to develop and validate a risk score to predict severe respiratory failure (SRF) among patients hospitalized with coronavirus disease-2019 (COVID-19)

Development and validation of a prediction model for severe respiratory failure in hospitalized patients with SARS-CoV-2 infection: a multicentre cohort study (PREDI-CO study)

Objectives: We aimed to develop and validate a risk score to predict severe respiratory failure (SRF) among patients hospitalized with coronavirus disease-2019 (COVID-19).Methods: We performed a multicentre cohort study among hospitalized (>24 hours) patients diagnosed with COVID-19 from 22 February to 3 April 2020, at 11 Italian hospitals. Patients were divided into derivation and validation cohorts according to random sorting of hospitals. SRF was assessed from admission to hospital discharge and was defined as: SpO(2) <93% with 100% FiO(2), respiratory rate >30 breaths/min or respiratory distress. Multivariable logistic regression models were built to identify predictors of SRF, beta-coefficients were used to develop a risk score. Trial Registration NCT04316949.Results: We analysed 1113 patients (644 derivation, 469 validation cohort). Mean (+/- SD) age was 65.7 (+/- 15) years, 704 (63.3%) were male. SRF occurred in 189/644 (29%) and 187/469 (40%) patients in the derivation and validation cohorts, respectively. At multivariate analysis, risk factors for SRF in the derivation cohort assessed at hospitalization were age >= 70 years (OR 2.74; 95% CI 1.66-4.50), obesity (OR 4.62; 95% CI 2.78-7.70), body temperature >= 38 degrees C (OR 1.73; 95% CI 1.30-2.29), respiratory rate >= 22 breaths/min (OR 3.75; 95% CI 2.01-7.01), lymphocytes <= 900 cells/mm(3) (OR 2.69; 95% CI 1.60-4.51), creatinine >= 1 mg/dL (OR 2.38; 95% CI 1.59-3.56), C-reactive protein >= 10 mg/dL (OR 5.91; 95% CI 4.88 -7.17) and lactate dehydrogenase >= 350 IU/L (OR 2.39; 95% CI 1.11-5.11). Assigning points to each variable, an individual risk score (PREDI-CO score) was obtained. Area under the receiver-operator curve was 0.89 (0.86-0.92). At a score of >3, sensitivity, specificity, and positive and negative predictive values were 71.6% (65%-79%), 89.1% (86%-92%), 74% (67%-80%) and 89% (85%-91%), respectively. PREDI-CO score showed similar prognostic ability in the validation cohort: area under the receiver-operator curve 0.85 (0.81e0.88). At a score of >3, sensitivity, specificity, and positive and negative predictive values were 80% (73%-85%), 76% (70%-81%), 69% (60%-74%) and 85% (80%-89%), respectively.Conclusion: PREDI-CO score can be useful to allocate resources and prioritize treatments during the COVID-19 pandemic. (c) 2020 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved