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

Overview of attention for article published in Scientific Reports, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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1 news outlet
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11 X users
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1 Facebook page

Citations

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16 Dimensions

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45 Mendeley
Title
Combined quantification of procalcitonin and HLA-DR improves sepsis detection in surgical patients
Published in
Scientific Reports, August 2018
DOI 10.1038/s41598-018-30505-7
Pubmed ID
Authors

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, Jesus F. Bermejo-Martin

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.

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X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 22%
Student > Master 9 20%
Student > Ph. D. Student 5 11%
Other 3 7%
Student > Bachelor 3 7%
Other 2 4%
Unknown 13 29%
Readers by discipline Count As %
Medicine and Dentistry 8 18%
Biochemistry, Genetics and Molecular Biology 7 16%
Arts and Humanities 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Immunology and Microbiology 2 4%
Other 6 13%
Unknown 16 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 October 2018.
All research outputs
#2,188,652
of 24,609,626 outputs
Outputs from Scientific Reports
#19,613
of 134,262 outputs
Outputs of similar age
#44,257
of 335,754 outputs
Outputs of similar age from Scientific Reports
#566
of 3,641 outputs
Altmetric has tracked 24,609,626 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 134,262 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 335,754 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 3,641 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.