Dual-readout, Particle Identification, and 4th

The 4th detector is rich in particle identification measurements from the dual-readout calorimeters, the cluster-timing tracking chamber, the muon spectrometer, and combinations of these systems. In all, a total of 13 measurements contribute to the identification of all partons of the standard model.Comment: 3 pages, 6 figures, TIPP09 Conferenc

The Case for a Muon Collider Higgs Factory

We propose the construction of a compact Muon Collider Higgs Factory. Such a machine can produce up to \sim 14,000 at 8\times 10^{31} cm^-2 sec^-1 clean Higgs events per year, enabling the most precise possible measurement of the mass, width and Higgs-Yukawa coupling constants.Comment: Supporting letter for the document: "Muon Collider Higgs Factory for Smowmass 2013", A White Paper submitted to the 2013 U.S. Community Summer Study of the Division of Particles and Fields of the American Physical Society, Y. Alexahin, et. al, FERMILAB-CONF-13-245-T (July, 2013

Imaging features and ultraearly hematoma growth in intracerebral hemorrhage associated with COVID-19

Purpose: Intracerebral hemorrhage (ICH) is an uncommon but deadly event in patients with COVID-19 and its imaging features remain poorly characterized. We aimed to describe the clinical and imaging features of COVID-19-associated ICH. Methods: Multicenter, retrospective, case-control analysis comparing ICH in COVID-19 patients (COV19\u2009+) versus controls without COVID-19 (COV19\u2009-). Clinical presentation, laboratory markers, and severity of COVID-19 disease were recorded. Non-contrast computed tomography (NCCT) markers (intrahematoma hypodensity, heterogeneous density, blend sign, irregular shape fluid level), ICH location, and hematoma volume (ABC/2 method) were analyzed. The outcome of interest was ultraearly hematoma growth (uHG) (defined as NCCT baseline ICH volume/onset-to-imaging time), whose predictors were explored with multivariable linear regression. Results: A total of 33 COV19\u2009+\u2009patients and 321 COV19\u2009-\u2009controls with ICH were included. Demographic characteristics and vascular risk factors were similar in the two groups. Multifocal ICH and NCCT markers were significantly more common in the COV19\u2009+\u2009population. uHG was significantly higher among COV19\u2009+\u2009patients (median 6.2 mL/h vs 3.1 mL/h, p\u2009=\u20090.027), and this finding remained significant after adjustment for confounding factors (systolic blood pressure, antiplatelet and anticoagulant therapy), in linear regression (B(SE)\u2009=\u20090.31 (0.11), p\u2009=\u20090.005). This association remained consistent also after the exclusion of patients under anticoagulant treatment (B(SE)\u2009=\u20090.29 (0.13), p\u2009=\u20090.026). Conclusions: ICH in COV19\u2009+\u2009patients has distinct NCCT imaging features and a higher speed of bleeding. This association is not mediated by antithrombotic therapy and deserves further research to characterize the underlying biological mechanisms

Patterns and predictors of statin therapy after ischemic stroke and TIA: insights from the LIPYDS multicenter study

Background: Patients with ischemic stroke (IS) or TIA face an elevated cardiovascular risk, warranting intensive lipid-lowering therapy. Despite recommendations, adherence to guidelines is suboptimal, leading to frequent undertreatment. This study aims to evaluate the statin use after IS and TIA. Methods: LIPYDS is a multicenter, observational, retrospective study including ≥ 18-year-old patients discharged after IS/TIA from 19 Italian centers in 2021. Multivariable logistic regression analysis was used to determine (1) the association between statin prescription (Any-statin versus No-statin), type (High-Intensity-statin versus Other-statin [Moderate/Low-Intensity]) with stroke etiology (TOAST), (2) clinical variables independently associated with statin prescription in the entire cohort and within TOAST categories. Results: We included 3,740 patients (median age 75 [IQR 64-82]; median LDL-C 104 [IQR 79-131]). At discharge, 1,971 (52.7%) received a High-intensity-statin, 800 (21.4%) Other-statin, 969 (25.9%) No-statin therapy. Among patients not on statin therapy before the event (N = 2686 [71.8%]), 50.1% initiated High-intensity-statin (78.2% of those with Large-Artery-Atherosclerosis, 60.8% Small-Vessel-Disease, 34.7% Cardioembolic, 47.4% Undetermined etiology); in 33% the decision to abstain from initiating statin therapy persisted. Large-Artery-Atherosclerosis showed the strongest association with Any-statin (aOR 3.07 [95%CI 2.39-3.95], p < 0.001) and High-intensity-statin (aOR 4.51 [95%CI 3.39-6.00], p < 0.001), while Cardioembolic stroke showed an inverse association (respectively, aOR 0.36 [95%CI 0.31-0.43], p < 0.001 and aOR 0.52 [95%CI 0.44-0.62], p < 0.001). Stepwise regression highlighted LDL-C and previous statin therapy as consistent predictors of statin at discharge. Older patients and women were less likely to be on a high-intensity formulation. Conclusion: Statins, especially at high-intensity, are under-prescribed after IS and TIA, with older patients, women and those with non-atherosclerotic strokes being the most affected