Title |
Role of biomarkers in the management of antibiotic therapy: an expert panel review: I – currently available biomarkers for clinical use in acute infections
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Published in |
Annals of Intensive Care, July 2013
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DOI | 10.1186/2110-5820-3-22 |
Pubmed ID | |
Authors |
Anne-Marie Dupuy, François Philippart, Yves Péan, Sigismond Lasocki, Pierre-Emmanuel Charles, Martin Chalumeau, Yann-Eric Claessens, Jean-Pierre Quenot, Christele Gras-Le Guen, Stéphanie Ruiz, Charles-Edouard Luyt, Nicolas Roche, Jean-Paul Stahl, Jean-Pierre Bedos, Jérôme Pugin, Rémy Gauzit, Benoit Misset, Christian Brun-Buisson, for the Maurice Rapin Institute Biomarkers Group |
Abstract |
In the context of worldwide increasing antimicrobial resistance, good antimicrobial prescribing in more needed than ever; unfortunately, information available to clinicians often are insufficient to rely on. Biomarkers might provide help for decision-making and improve antibiotic management. The purpose of this expert panel review was to examine currently available literature on the potential role of biomarkers to improve antimicrobial prescribing, by answering three questions: 1) Which are the biomarkers available for this purpose?; 2) What is their potential role in the initiation of antibiotic therapy?; and 3) What is their role in the decision to stop antibiotic therapy? To answer these questions, studies reviewed were limited to recent clinical studies (<15 years), involving a substantial number of patients (>50) and restricted to controlled trials and meta-analyses for answering questions 2 and 3. With regard to the first question concerning routinely available biomarkers, which might be useful for antibiotic management of acute infections, these are currently limited to C-reactive protein (CRP) and procalcitonin (PCT). Other promising biomarkers that may prove useful in the near future but need to undergo more extensive clinical testing include sTREM-1, suPAR, ProADM, and Presepsin. New approaches to biomarkers of infections include point-of-care testing and genomics. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Kazakhstan | 1 | 14% |
Mexico | 1 | 14% |
Kuwait | 1 | 14% |
United States | 1 | 14% |
France | 1 | 14% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Scientists | 1 | 14% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 1% |
Hungary | 1 | <1% |
United Kingdom | 1 | <1% |
Egypt | 1 | <1% |
Iceland | 1 | <1% |
Russia | 1 | <1% |
Japan | 1 | <1% |
Unknown | 188 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 29 | 15% |
Student > Master | 24 | 12% |
Student > Ph. D. Student | 20 | 10% |
Other | 18 | 9% |
Student > Doctoral Student | 15 | 8% |
Other | 46 | 23% |
Unknown | 44 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 95 | 48% |
Agricultural and Biological Sciences | 12 | 6% |
Immunology and Microbiology | 11 | 6% |
Biochemistry, Genetics and Molecular Biology | 10 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 7 | 4% |
Other | 14 | 7% |
Unknown | 47 | 24% |