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Your search keyword '"Alberto Ríos-Llorente"' showing total 3 results
Start Over Author "Alberto Ríos-Llorente" Journal scientific reports
3 results on '"Alberto Ríos-Llorente"'

1. Combined quantification of procalcitonin and HLA-DR improves sepsis detection in surgical patients

Author

Raquel Almansa, Silvia Martín, Marta Martin-Fernandez, María Heredia-Rodríguez, Esther Gómez-Sánchez, Marta Aragón, Cristina Andrés, Dolores Calvo, Jesus Rico-Feijoo, Maria Carmen Esteban-Velasco, Luis Mario Vaquero-Roncero, Alicia Ortega, Estefania Gómez-Pesquera, Mario Lorenzo-López, Iñigo López de Cenarruzabeitia, Diana Benavides, Jaime López-Sanchez, Cristina Doncel, Carmen González-Sanchez, Esther Zarca, Alberto Ríos-Llorente, Agustín Diaz, Elisa Sanchez-Barrado, Juan Beltran de Heredia, Jose Maria Calvo-Vecino, Luis Muñoz-Bellvís, Jose Ignacio Gomez-Herreras, César Aldecoa, Eduardo Tamayo, and Jesus F. Bermejo-Martin

Subjects
Medicine, Science
Abstract

Abstract Early recognition of sepsis is a key factor to improve survival to this disease in surgical patients, since it allows prompt control of the infectious source. Combining pro-inflammatory and immunosupression biomarkers could represent a good strategy to improve sepsis detection. Here we evaluated the combination of procalcitonin (PCT) with gene expression levels of HLA-DRA to detect sepsis in a cohort of 154 surgical patients (101 with sepsis and 53 with no infection). HLA-DRA expression was quantified using droplet digital PCR, a next-generation PCR technology. Area under the receiver operating curve analysis (AUROC) showed that the PCT/HLA-DRA ratio outperformed PCT to detect sepsis (AUROC [CI95%], p): PCT: 0.80 [0.73–0.88],

Published
2018
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2. Author Correction: Combined quantification of procalcitonin and HLA-DR improves sepsis detection in surgical patients

Author

Luis Muñoz-Bellvís, Jaime López-Sánchez, Iñigo López de Cenarruzabeitia, Eduardo Tamayo, Raquel Almansa, Maria Carmen Esteban-Velasco, Esther Gómez-Sánchez, Luis Mario Vaquero-Roncero, Juan Beltran de Heredia, Agustín Diaz, Diana Benavides, Estefanía Gómez-Pesquera, Jesus F. Bermejo-Martin, Marta Aragón, Jesús Rico-Feijoo, Alberto Ríos-Llorente, Elisa Sanchez-Barrado, Mario Lorenzo-López, Dolores Calvo, Cesar Aldecoa, Marta Martin-Fernandez, C. Andres, Silvia Martín, Carmen González-Sánchez, J.M. Calvo-Vecino, Cristina Doncel, Esther Zarca, Alicia Ortega, María Heredia-Rodríguez, and José Ignacio Gómez-Herreras

Subjects
medicine.medical_specialty, Multidisciplinary, business.industry, lcsh:R, lcsh:Medicine, medicine.disease, Procalcitonin, Sepsis, Text mining, Internal medicine, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, medicine, HLA-DR, lcsh:Q, lcsh:Science, business, Author Correction, Surgical patients
Abstract

Early recognition of sepsis is a key factor to improve survival to this disease in surgical patients, since it allows prompt control of the infectious source. Combining pro-inflammatory and immunosupression biomarkers could represent a good strategy to improve sepsis detection. Here we evaluated the combination of procalcitonin (PCT) with gene expression levels of HLA-DRA to detect sepsis in a cohort of 154 surgical patients (101 with sepsis and 53 with no infection). HLA-DRA expression was quantified using droplet digital PCR, a next-generation PCR technology. Area under the receiver operating curve analysis (AUROC) showed that the PCT/HLA-DRA ratio outperformed PCT to detect sepsis (AUROC [CI95%], p): PCT: 0.80 [0.73-0.88],0.001; PCT/HLA-DRA: 0.85 [0.78-0.91],0.001. In the multivariate analysis, the ratio showed a superior ability to predict sepsis compared to that of PCT (OR [CI 95%], p): PCT/HLA-DRA: 7.66 [1.82-32.29], 0.006; PCT: 4.21 [1.15-15.43] 0.030. Multivariate analysis was confirmed using a new surgical cohort with 74 sepsis patients and 21 controls: PCT/HLA-DRA: 34.86 [1.22-995.08], 0.038; PCT: 5.52 [0.40-75.78], 0.201. In conclusion, the combination of PCT with HLA-DRA is a promising strategy for improving sepsis detection in surgical patients.

Published
2019

3. Combined quantification of procalcitonin and HLA-DR improves sepsis detection in surgical patients

Author

Alberto Ríos-Llorente, Esther Gómez-Sánchez, Esther Zarca, María Heredia-Rodríguez, Marta Aragón, Dolores Calvo, Elisa Sanchez-Barrado, Cristina Doncel, Maria Carmen Esteban-Velasco, Luis Mario Vaquero-Roncero, Carmen González-Sánchez, José Ignacio Gómez-Herreras, Estefanía Gómez-Pesquera, Alicia Ortega, Marta Martin-Fernandez, Juan Beltran de Heredia, Iñigo López de Cenarruzabeitia, Agustín Diaz, Mario Lorenzo-López, Diana Benavides, Jesus F. Bermejo-Martin, Jaime López-Sánchez, C. Andres, Raquel Almansa, Cesar Aldecoa, J.M. Calvo-Vecino, Eduardo Tamayo, Silvia Martín, Luis Muñoz-Bellvís, and Jesús Rico-Feijoo

Subjects
0301 basic medicine, medicine.medical_specialty, Multivariate analysis, Science, Gastroenterology, Article, Procalcitonin, Procalcitonina, Sepsis, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, parasitic diseases, HLA-DR, Medicine, 3213 Cirugía, Multidisciplinary, Receiver operating characteristic, business.industry, 030208 emergency & critical care medicine, bacterial infections and mycoses, medicine.disease, 030104 developmental biology, Cohort, business, hormones, hormone substitutes, and hormone antagonists, Surgical patients
Abstract

Producción Científica, Early recognition of sepsis is a key factor to improve survival to this disease in surgical patients, since it allows prompt control of the infectious source. Combining pro-infammatory and immunosupression biomarkers could represent a good strategy to improve sepsis detection. Here we evaluated the combination of procalcitonin (PCT) with gene expression levels of HLA-DRA to detect sepsis in a cohort of 154 surgical patients (101 with sepsis and 53 with no infection). HLA-DRA expression was quantifed using droplet digital PCR, a next-generation PCR technology. Area under the receiver operating curve analysis (AUROC) showed that the PCT/HLA-DRA ratio outperformed PCT to detect sepsis (AUROC [CI95%], p): PCT: 0.80 [0.73–0.88], Instituto de Salud Carlos III - Consejeria de Sanidad de Castilla y Leon (grants EMER 07/050, PI15/01451 and PI16/01156)

Published
2018
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