Publications by authors named "J L Llisterri Caro"

The Spanish Merino is the most significant sheep breed globally due to its economic and cultural importance in human history. It has also had a substantial influence on the development of other Merino and Merino-derived breeds. Historical sources indicate that crossbreeding to produce finer, higher-quality wool was already taking place in the south of the Iberian Peninsula during the Roman era.

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Patients participating in clinical trials are highly selected and may not represent the general population. The pivotal study of teclistamab (MajesTEC-1), a B-cell maturation antigen (BCMA)xCD3 bispecific antibody, demonstrated impressive response rates and progression free survival in relapsed/refractory multiple myeloma (RRMM) with acceptable toxicity. We performed a retrospective study of 58 patients treated as standard of care at four US academic centers to determine how these results translated to the real-world.

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Background: Chronic limb-threatening ischemia (CLTI) is associated with increased risk of major adverse cardiac and limb events (MACLE). In patients with peripheral arterial disease (PAD), evolocumab is associated with decreased MACLE, improved maximal walking time, increased vascular flow-mediated dilation (FMD), and decreased carotid intima-media thickness (IMT). We investigated the additive effect of evolocumab in patients with CLTI on maximally tolerated lipid lowering therapy after an index revascularization for non-healing wounds.

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Article Synopsis
  • Covalent organic frameworks (COFs) have potential for creating high-quality separation membranes but face challenges in gas separation due to larger pore sizes.
  • The study introduces a novel method by embedding the metal-organic framework (MOF) ZIF-8 within TB-COF to enhance gas separation properties.
  • The resulting ZIF-8@TB-COF membrane achieves significantly increased hydrogen selectivity for separating gas mixtures compared to traditional COF membranes, demonstrating the effectiveness of this new synthesis approach.
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(1) Background: "Kidney Disease: Improving Global Outcomes" (KDIGO) provides guidelines for identifying the stages of acute kidney injury (AKI) and chronic kidney disease (CKD). A data-driven rule-based engine was developed to determine KDIGO staging compared to KD-related keywords in discharge letters. (2) Methods: To assess potential differences in outcomes, we compare the patient subgroups with exact KDIGO staging to imprecise or missing staging for all-cause mortality, in-hospital mortality, selection bias and costs by applying Kaplan-Meier analysis and the Cox proportional hazards regression model.

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