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Profil bibliographique

Roberto de la Rica

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

108Publications signalées
4860Citations signalées
3Affiliations récentes

Les institutions déclarées

Les domaines associés

Biosensors and Analytical DetectionAdvanced biosensing and bioanalysis techniquesAdvanced Biosensing Techniques and ApplicationsGold and Silver Nanoparticles Synthesis and ApplicationsSupramolecular Self-Assembly in Materials

Les publications récentes

Accès ouvert 2026 article OpenAlex

Diagnostic accuracy of PCT, IL-6, and MR-ProADM for early identification of sepsis in the emergency department

Sofía Tejada, Antonio Clemente, Antònia Socías, Andrés Giglio et autres

OBJECTIVE: To evaluate the diagnostic accuracy of the biomarkers procalcitonin (PCT), interleukin-6 (IL-6), and mid-regional pro-adrenomedullin (MR-ProADM), individually and in combination, for early detection of sepsis and septic shock during emergency department (ED) triage. MATERIALS AND METHODS: A retrospective observational study was …

es, cl (code pays fourni par la source)

0 citations Revista Española de Quimioterapia
Accès ouvert 2026 article OpenAlex

Hospital-Wide Sepsis Detection: A Machine Learning Model Based on Prospectively Expert-Validated Cohort

Marcío Borges-Sa, Andres Giglio, Maria Aranda, Antònia Socías et autres

Background/Objectives: Sepsis detection remains challenging due to clinical heterogeneity and limitations of traditional scoring systems. This study developed and validated a hospital-wide machine learning model for sepsis detection using retrospectively developed data from prospectively expert-validated cases, aiming to improve diagnostic accuracy beyond …

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6 citations Journal of Clinical Medicine
Accès ouvert 2025 preprint OpenAlex

Hospital-Wide Sepsis Detection: A Machine Learning Model Based on Prospectively Expert-Validated Cohort

Marcío Borges-Sa, Andrés Giglio, María Aranda, Antònia Socías et autres

Background/Objectives: Sepsis detection remains challenging due to clinical heterogene-ity and limitations of traditional scoring systems. This study developed and validated a hospital-wide machine learning model for sepsis detection using retrospectively devel-oped data from prospectively expert-validated cases, aiming to improve diagnostic accu-racy beyond …

es, au (code pays fourni par la source)

0 citations Preprints.org
Accès ouvert 2025 article OpenAlex

Circulating NETs enable early identification of thrombotic risk in sepsis at emergency care onset

Sofía Tejada, Antonio Clemente, Antònia Socías, María Aranda et autres

Introduction: Sepsis involves a dysregulated host response to infection and is frequently complicated by coagulopathy, contributing to organ dysfunction and mortality. Early detection of coagulation disturbances in the emergency department (ED) remains clinically challenging. Neutrophil extracellular traps (NETs) have emerged as key …

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3 citations Frontiers in Immunology
Accès ouvert 2025 article OpenAlex

NanoArrayPAD−X: Nanoprobe Array and 3D-µPAD for the Simultaneous Detection of Respiratory Pathogens and Biomarkers at the Point of Care

Andreu Vaquer, Francisco M. Bouzada, Sofía Tejada, Antonio Clemente et autres

Microfluidic paper-based analytical devices (µPADs) are ideal for point-of-care diagnostics due to their low cost, compact size, and ease of use. However, current designs have limited multiplexing capabilities, making it difficult to simultaneously detect pathogens and biomarkers in the same sample. In …

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2 citations Biosensors
Accès ouvert 2025 article OpenAlex

Decoding Sepsis: A 16-Year Retrospective Analysis of Activation Patterns, Mortality Predictors, and Outcomes from a Hospital-Wide Sepsis Protocol

Marcío Borges-Sa, Andrés Giglio, María Aranda, Antònia Socías et autres

Background: Sepsis remains a leading cause of mortality in hospitalized patients. We evaluated characteristics and outcomes of patients identified through a comprehensive hospital-wide sepsis protocol over a 16-year period. Methods: This retrospective cohort study analyzed hospital-wide sepsis protocol activations at a tertiary …

es, cl (code pays fourni par la source)

4 citations Journal of Clinical Medicine
Accès ouvert 2025 preprint OpenAlex

Decoding Sepsis: A 16-Year Retrospective Analysis of Activation Patterns, Mortality Predictors, and Outcomes from a Hospital-Wide Sepsis Protocol

Marcío Borges-Sa, Andrés Giglio, María Aranda, Antònia Socías et autres

Background: Sepsis remains a leading cause of mortality in hospitalized patients. We evaluated characteristics and outcomes of patients identified through a comprehensive hospital-wide sepsis protocol over a 16-year period. Methods: This retrospective cohort study analyzed hospital-wide sepsis protocol activations at a tertiary …

es (code pays fourni par la source)

4 citations Preprints.org
Accès ouvert 2025 article OpenAlex

A Nanoparticle-Based Immunoassay on Facemasks for Evaluating Neutrophilic Airway Inflammation in COPD Patients

Bartomeu Mestre, Núria Toledo-Pons, Andreu Vaquer, Sofía Tejada et autres

Patients with chronic obstructive pulmonary disease (COPD) often experience acute exacerbations characterized by elevated neutrophilic inflammation in the lungs. Currently, this condition is diagnosed through visual inspection of sputum color and volume, a method prone to personal bias and unsuitable for patients …

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1 citation Biosensors
2025 conference-abstract OpenAlex

Nanoparticle-Based Detection of Myeloperoxidase Adhered to Facemasks for the Non-invasive Assessment of Airway Neutrophilic Inflammation in COPD Patients

Roberto de la Rica, Bartomeu Mestre, Andreu Vaquer, Silvia Tejada et autres

Abstract RATIONALE: Myeloperoxidase (MPO) is an enzyme released by neutrophils during chronic airway inflammation whose levels increase during exacerbations in patients with chronic obstructive pulmonary disease (COPD). This study proposes the use of nanoparticle-based immunosensors as a quick, non-invasive method for detecting …

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1 citation American Journal of Respiratory and Critical Care Medicine
Accès ouvert 2025 article OpenAlex

Detecting Respiratory Pathogens for Diagnosing Lower Respiratory Tract Infections at the Point of Care: Challenges and Opportunities

Francisco M. Bouzada, Bartomeu Mestre, Andreu Vaquer, Sofía Tejada et autres

Lower respiratory tract infections (LRTIs) are a leading cause of mortality worldwide, claiming millions of lives each year and imposing significant healthcare costs. Accurate detection of respiratory pathogens is essential for the effective management of LRTIs. However, this process often relies on …

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10 citations Biosensors

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