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Combined quantification of procalcitonin and HLA-DR improves sepsis detection in surgical patients
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6086887/ https://www.ncbi.nlm.nih.gov/pubmed/30097607 http://dx.doi.org/10.1038/s41598-018-30505-7 |
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author | Almansa, Raquel Martín, Silvia Martin-Fernandez, Marta Heredia-Rodríguez, María Gómez-Sánchez, Esther Aragón, Marta Andrés, Cristina Calvo, Dolores Rico-Feijoo, Jesus Esteban-Velasco, Maria Carmen Vaquero-Roncero, Luis Mario Ortega, Alicia Gómez-Pesquera, Estefania Lorenzo-López, Mario de Cenarruzabeitia, Iñigo López Benavides, Diana López-Sanchez, Jaime Doncel, Cristina González-Sanchez, Carmen Zarca, Esther Ríos-Llorente, Alberto Diaz, Agustín Sanchez-Barrado, Elisa de Heredia, Juan Beltran Calvo-Vecino, Jose Maria Muñoz-Bellvís, Luis Gomez-Herreras, Jose Ignacio Aldecoa, César Tamayo, Eduardo Bermejo-Martin, Jesus F. |
author_facet | Almansa, Raquel Martín, Silvia Martin-Fernandez, Marta Heredia-Rodríguez, María Gómez-Sánchez, Esther Aragón, Marta Andrés, Cristina Calvo, Dolores Rico-Feijoo, Jesus Esteban-Velasco, Maria Carmen Vaquero-Roncero, Luis Mario Ortega, Alicia Gómez-Pesquera, Estefania Lorenzo-López, Mario de Cenarruzabeitia, Iñigo López Benavides, Diana López-Sanchez, Jaime Doncel, Cristina González-Sanchez, Carmen Zarca, Esther Ríos-Llorente, Alberto Diaz, Agustín Sanchez-Barrado, Elisa de Heredia, Juan Beltran Calvo-Vecino, Jose Maria Muñoz-Bellvís, Luis Gomez-Herreras, Jose Ignacio Aldecoa, César Tamayo, Eduardo Bermejo-Martin, Jesus F. |
author_sort | Almansa, Raquel |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6086887 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60868872018-08-16 Combined quantification of procalcitonin and HLA-DR improves sepsis detection in surgical patients Almansa, Raquel Martín, Silvia Martin-Fernandez, Marta Heredia-Rodríguez, María Gómez-Sánchez, Esther Aragón, Marta Andrés, Cristina Calvo, Dolores Rico-Feijoo, Jesus Esteban-Velasco, Maria Carmen Vaquero-Roncero, Luis Mario Ortega, Alicia Gómez-Pesquera, Estefania Lorenzo-López, Mario de Cenarruzabeitia, Iñigo López Benavides, Diana López-Sanchez, Jaime Doncel, Cristina González-Sanchez, Carmen Zarca, Esther Ríos-Llorente, Alberto Diaz, Agustín Sanchez-Barrado, Elisa de Heredia, Juan Beltran Calvo-Vecino, Jose Maria Muñoz-Bellvís, Luis Gomez-Herreras, Jose Ignacio Aldecoa, César Tamayo, Eduardo Bermejo-Martin, Jesus F. Sci Rep Article 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. Nature Publishing Group UK 2018-08-10 /pmc/articles/PMC6086887/ /pubmed/30097607 http://dx.doi.org/10.1038/s41598-018-30505-7 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Almansa, Raquel Martín, Silvia Martin-Fernandez, Marta Heredia-Rodríguez, María Gómez-Sánchez, Esther Aragón, Marta Andrés, Cristina Calvo, Dolores Rico-Feijoo, Jesus Esteban-Velasco, Maria Carmen Vaquero-Roncero, Luis Mario Ortega, Alicia Gómez-Pesquera, Estefania Lorenzo-López, Mario de Cenarruzabeitia, Iñigo López Benavides, Diana López-Sanchez, Jaime Doncel, Cristina González-Sanchez, Carmen Zarca, Esther Ríos-Llorente, Alberto Diaz, Agustín Sanchez-Barrado, Elisa de Heredia, Juan Beltran Calvo-Vecino, Jose Maria Muñoz-Bellvís, Luis Gomez-Herreras, Jose Ignacio Aldecoa, César Tamayo, Eduardo Bermejo-Martin, Jesus F. Combined quantification of procalcitonin and HLA-DR improves sepsis detection in surgical patients |
title | Combined quantification of procalcitonin and HLA-DR improves sepsis detection in surgical patients |
title_full | Combined quantification of procalcitonin and HLA-DR improves sepsis detection in surgical patients |
title_fullStr | Combined quantification of procalcitonin and HLA-DR improves sepsis detection in surgical patients |
title_full_unstemmed | Combined quantification of procalcitonin and HLA-DR improves sepsis detection in surgical patients |
title_short | Combined quantification of procalcitonin and HLA-DR improves sepsis detection in surgical patients |
title_sort | combined quantification of procalcitonin and hla-dr improves sepsis detection in surgical patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6086887/ https://www.ncbi.nlm.nih.gov/pubmed/30097607 http://dx.doi.org/10.1038/s41598-018-30505-7 |
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