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Superior accuracy of mid-regional proadrenomedullin for mortality prediction in sepsis with varying levels of illness severity

Overview of attention for article published in Annals of Intensive Care, February 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
patent
5 patents
facebook
2 Facebook pages

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
76 Mendeley
Title
Superior accuracy of mid-regional proadrenomedullin for mortality prediction in sepsis with varying levels of illness severity
Published in
Annals of Intensive Care, February 2017
DOI 10.1186/s13613-017-0238-9
Pubmed ID
Authors

David Andaluz-Ojeda, H. Bryant Nguyen, Nicolas Meunier-Beillard, Ramón Cicuéndez, Jean-Pierre Quenot, Dolores Calvo, Auguste Dargent, Esther Zarca, Cristina Andrés, Leonor Nogales, Jose María Eiros, Eduardo Tamayo, Francisco Gandía, Jesús F. Bermejo-Martín, Pierre Emmanuel Charles

Abstract

The use of novel sepsis biomarkers has increased in recent years. However, their prognostic value with respect to illness severity has not been explored. In this work, we examined the ability of mid-regional proadrenomedullin (MR-proADM) in predicting mortality in sepsis patients with different degrees of organ failure, compared to that of procalcitonin, C-reactive protein and lactate. This was a two-centre prospective observational cohort, enrolling severe sepsis or septic shock patients admitted to the ICU. Plasma biomarkers were measured during the first 12 h of admission. The association between biomarkers and 28-day mortality was assessed by Cox regression analysis and Kaplan-Meier curves. Patients were divided into three groups as evaluated by the Sequential Organ Failure Assessment (SOFA) score. The accuracy of the biomarkers for mortality was determined by area under the receiver operating characteristic curve (AUROC) analysis. A total of 326 patients with severe sepsis (21.7%) or septic shock (79.3%) were enrolled with a 28-day mortality rate of 31.0%. Only MR-proADM and lactate were associated with mortality in the multivariate analysis: hazard ratio 8.5 versus 3.4 (p < 0.001). MR-proADM showed the best AUROC for mortality prediction at 28 days in the analysis over the entire cohort (AUROC [95% CI] 0.79 [0.74-0.84]) (p < 0.001). When patients were stratified by the degree of organ failure, MR-proADM was the only biomarker to predict mortality in all severity groups (SOFA ≤ 6, SOFA = 7-12, and SOFA ≥ 13), AUROC [95% CI] of 0.75 [0.61-0.88], 0.74 [0.66-0.83] and 0.73 [0.59-0.86], respectively (p < 0.05). All patients with MR-proADM concentrations ≤0.88 nmol/L survived up to 28 days. In patients with SOFA ≤ 6, the addition of MR-proADM to the SOFA score increased the ability of SOFA to identify non-survivors, AUROC [95% CI] 0.70 [0.58-0.82] and 0.77 [0.66-0.88], respectively (p < 0.05 for both). The performance of prognostic biomarkers in sepsis is highly influenced by disease severity. MR-proADM accuracy to predict mortality is not affected by the degree of organ failure. Thus, it is a good candidate in the early identification of sepsis patients with moderate disease severity but at risk of mortality.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Unknown 75 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 14%
Student > Master 10 13%
Student > Postgraduate 8 11%
Student > Doctoral Student 7 9%
Student > Ph. D. Student 6 8%
Other 9 12%
Unknown 25 33%
Readers by discipline Count As %
Medicine and Dentistry 33 43%
Nursing and Health Professions 4 5%
Biochemistry, Genetics and Molecular Biology 4 5%
Chemical Engineering 2 3%
Agricultural and Biological Sciences 2 3%
Other 5 7%
Unknown 26 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 02 August 2023.
All research outputs
#2,166,552
of 23,592,647 outputs
Outputs from Annals of Intensive Care
#269
of 1,074 outputs
Outputs of similar age
#47,680
of 425,186 outputs
Outputs of similar age from Annals of Intensive Care
#7
of 26 outputs
Altmetric has tracked 23,592,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,074 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one has gotten more attention than average, scoring higher than 74% 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 425,186 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 88% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.