Publications by authors named "M De Sessa"

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.

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Thermosensory signals may contribute to the sense of body ownership, but their role remains highly debated. We test this assumption within the framework of pathological body ownership, hypothesising that skin temperature and thermoception differ between right-hemisphere stroke patients with and without Disturbed Sensation of Ownership (DSO) for the contralesional plegic upper limb. Patients with DSO exhibit lower basal hand temperatures bilaterally and impaired perception of cold and warm stimuli.

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Background: Severe left ventricular (LV) systolic dysfunction (ejection fraction [EF] < 30%) is a known cardiovascular risk factor and a major cause of cardioembolism. However, less severe forms of LV disease (LVD), such as mild-to-moderate LV dysfunction and LV wall motion abnormalities (LVWMAs), are considered potential minor cardiac sources in Embolic Stroke of Undetermined Source (ESUS), but their role is underexplored. This study aims to evaluate the prevalence of LVD in ESUS and its association with adverse vascular events and mortality.

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High-energy nuclear collisions create a quark-gluon plasma, whose initial condition and subsequent expansion vary from event to event, impacting the distribution of the eventwise average transverse momentum [P([p_{T}])]. Disentangling the contributions from fluctuations in the nuclear overlap size (geometrical component) and other sources at a fixed size (intrinsic component) remains a challenge. This problem is addressed by measuring the mean, variance, and skewness of P([p_{T}]) in ^{208}Pb+^{208}Pb and ^{129}Xe+^{129}Xe collisions at sqrt[s_{NN}]=5.

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Background: Elevated blood pressure is a major risk factor for severe medical conditions. Adherence to antihypertensive medication, especially in free-dose combinations, poses a significant challenge. This study aims to develop a novel method for assessing co-exposure to free-dose antihypertensive medications using secondary data sources.

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