Publications by authors named "L Del Moral"

Introduction: Infections caused by multidrug-resistant gram-negative bacilli (MDR-GNB) in critically ill patients present a challenge for timely and appropriate antibiotic treatment. This is particularly important in patients undergoing extracorporeal life-support techniques such as renal replacement therapy and extracorporeal membrane oxygenation. These techniques can introduce additional pharmacokinetic alterations, potentially leading to suboptimal exposure to antibiotics.

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Article Synopsis
  • Sunflower broomrape (Orobanche cumana) is a parasitic plant harming sunflower crops in Europe and Asia, with a new virulent population identified in Southern Spain that can overcome existing resistance in sunflower hybrids.
  • The study involved analyzing 144 families from a cross between different populations of O. cumana and showed a 1:3 ratio of avirulent to virulent plants, suggesting that the trait is controlled by a single gene, mapped to chromosome 2.
  • This research is the first to map an avirulence gene in a parasitic plant, confirming a gene-for-gene relationship between O. cumana and sunflowers and revealing how the presence of this gene affects the population structure of the parasite
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Objective: To design a homogeneous methodology for the registration and analysis of pharmaceutical interventions performed in spanish intensive adults care units (ICUs).

Method: Observational, prospective, and multicentre study. In the first stage, a national registry of pharmaceutical interventions will be agreed upon and subsequently, all the pharmaceutical interventions performed on adult patients admitted to Spanish ICUs during 8 weeks will be recorded.

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Background: Hypersensitivity to chlorhexidine is rare in children. The usefulness of different diagnostic tests for allergic contact dermatitis (ACD) is unknown.

Objective: We aim to describe a case series of children with hypersensitivity to chlorhexidine and to compare the results of different diagnostic tests.

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The detection of lymph node metastases is essential for breast cancer staging, although it is a tedious and time-consuming task where the sensitivity of pathologists is suboptimal. Artificial intelligence (AI) can help pathologists detect lymph node metastases, which could help alleviate workload issues. We studied how pathologists' performance varied when aided by AI.

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