Publications by authors named "C Rodriguez-Jimenez"

: Post-transplant diabetes mellitus (PTDM) and prediabetes (PreDM) are common after renal transplantation and increase the risk of cardiovascular events and mortality. Compared to immediate-release tacrolimus (IR-Tac), the LCPT formulation, with delayed absorption, offers higher bioavailability and a smoother time-concentration curve, potentially reducing beta-cell stress. : This randomized pilot trial compared de novo immunosuppression with IR-Tac (twice daily) and LCPT (once daily).

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Introduction: Genetic variations impact drug response, driving the need for personalised medicine through pre-emptive pharmacogenetic testing. However, the adoption of pre-emptive pharmacogenetic testing for commonly prescribed drugs, such as statins, outside of tertiary hospitals is limited due to a lack of pharmacoeconomic evidence to support widespread implementation by healthcare policy-makers. The Spanish Consortium for the Implementation of Pharmacogenetics (iPHARMGx Consortium) addresses this by developing a clinical trial master protocol that will govern multiple nested adaptive clinical trials that compare genotype-guided treatments to standard care in specific drug-gene-population triads, asses their cost-efficacy and identify novel biomarkers through advanced sequencing techniques.

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  • Primary angioplasty is the standard treatment for ST-segment elevation myocardial infarction (STEMI), but it can cause additional cell damage, which levosimendan may help prevent.
  • In a study, patients received either levosimendan or a placebo after angioplasty, and their heart damage was assessed over 6 months.
  • Results showed that those treated with levosimendan had a significant reduction in infarct size compared to the placebo group, confirming its safety and effectiveness in this context.
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  • Automatic detection of activities in indoor spaces, particularly bathrooms, is crucial for health surveillance as user behavior can indicate certain health issues.
  • This study aims to classify bathroom activities automatically using a new method that leverages environmental data and machine learning, while ensuring user privacy.
  • The innovative approach utilizes a pre-trained convolutional network to analyze environmental parameters, achieving about 80% accuracy in detecting key activities, making monitoring efficient and cost-effective.
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Urinary tract infections (UTIs) are highly prevalent in long-term care facilities, constituting the most common infection in this setting. Our research focuses on analyzing clinical characteristics and antimicrobial prescriptions for UTIs in residents across nursing homes (NH) in Spain. This is a retrospective analytical cohort analysis using a multifaceted approach based on the normalization process theory to improve healthcare quality provided by nursing staff in 34 NHs in Spain.

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