Pro-adrenomedullin to predict severity and outcome in community-acquired pneumonia [ISRCTN04176397] View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2006-06

AUTHORS

Mirjam Christ-Crain, Nils G Morgenthaler, Daiana Stolz, Christian Müller, Roland Bingisser, Stephan Harbarth, Michael Tamm, Joachim Struck, Andreas Bergmann, Beat Müller

ABSTRACT

INTRODUCTION: Pro-adrenomedullin (proADM) is helpful for individual risk assessment and outcome prediction in sepsis. A major cause of sepsis is community-acquired pneumonia (CAP). The aim of this study was to investigate the value of proADM levels for severity assessment and outcome prediction in CAP. METHODS: Data from 302 patients admitted to the emergency department with CAP were included in a prospective observational study. Procalcitonin, C-reactive protein levels, leukocyte count, clinical variables and the pneumonia severity index (PSI) were measured. ProADM levels were measured with a new sandwich immunoassay for mid regional ProADM (MR-proADM, Brahms AG, Hennigsdorf/Berlin, Germany). RESULTS: ProADM levels, in contrast to C-reactive protein and leukocyte count, increased with increasing severity of CAP, classified according to the PSI score (ANOVA, p < 0.001). In patients who died during follow-up, proADM levels on admission were significantly higher compared to levels in survivors (2.1 (1.5 to 3.0) versus 1.0 (0.6 to 1.6) nmol/l, p < 0.001). In a receiver operating characteristic (ROC) analysis for survival, the area under the ROC curve (AUC) for proADM was 0.76 (95% confidence interval (CI) 0.71-0.81), which was significantly higher compared to procalcitonin (p = 0.004), C-reactive protein (p < 0.001) and total leukocyte count (p = 0.001) and similar to the AUC of the PSI (0.73, p = 0.54). A clinical model including the PSI and proADM increased the prognostic accuracy to predict failure compared to a model relying on the PSI alone (AUC, 0.77 (0.70 to 0.84), p = 0.03). CONCLUSION: ProADM, as a novel biomarker, is a useful tool for the risk stratification of patients with CAP. More... »

PAGES

r96

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/cc4955

DOI

http://dx.doi.org/10.1186/cc4955

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1007597722

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16805922


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/cc4955'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/cc4955'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/cc4955'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/cc4955'


 

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