S. Dittrich, B. T. Tadesse, F. Moussy, A. Chua, A. Zorzet et al., Target Product Profile for a Diagnostic Assay to Differentiate between Bacterial and Non-Bacterial Infections and Reduce Antimicrobial Overuse in Resource-Limited Settings: An Expert Consensus, PLOS ONE, vol.11, issue.8, 2016.

S. Y. Liang, D. L. Theodoro, J. D. Schuur, and J. Marschall, Infection Prevention in the Emergency Department, Annals of emergency medicine, vol.64, issue.3, pp.299-313, 2014.

U. Hassan, T. Ghonge, B. Reddy, M. Patel, M. Rappleye et al., A point-of-care microfluidic biochip for quantification of CD64 expression from whole blood for sepsis stratification, Nature Communications, vol.8, p.15949, 2017.

C. L. Ventola, The Antibiotic Resistance Crisis, Pharmacy and Therapeutics, vol.40, issue.4, pp.277-283, 2015.

J. G. Bartlett, D. N. Gilbert, and B. Spellberg, Seven Ways to Preserve the Miracle of Antibiotics, Clinical Infectious Diseases, vol.56, issue.10, pp.1445-1450, 2013.

R. Sklavou, K. Karavanaki, E. Critselis, L. Kossiva, M. Giannaki et al., Variation of serum C-reactive protein (CRP) over time in pediatric cancer patients with febrile illness and its relevance to identified pathogen, Clinical Biochemistry, vol.45, issue.15, pp.1178-1182, 2012.

J. Siegel-itzkocich, Israeli product that pinpoints viruses, bacteria gets European grant, Health & Science-Jerusalem Post, 2016.

A. C. Van-der-kuyl, R. Van-den-burg, F. Zorgdrager, F. Groot, B. Berkhout et al., Sialoadhesin (CD169) Expression in CD14+ Cells Is Upregulated Early after HIV-1 Infection and Increases during Disease Progression, PLoS ONE, vol.2, issue.2, p.257, 2007.

W. Kim, C. M. Mcgary, G. E. Holder, A. R. Filipowicz, M. M. Kim et al., Increased Expression of CD169 on Blood Monocytes and Its Regulation by Virus and CD8 T Cells in Macaque Models of HIV Infection and AIDS, AIDS Research and Human Retroviruses, issue.7, pp.696-706, 2015.

H. Rempel, C. Calosing, B. Sun, and L. Pulliam, Sialoadhesin Expressed on IFN-Induced Monocytes Binds HIV-1 and Enhances Infectivity, PLoS ONE, vol.3, issue.4, 2008.
DOI : 10.1371/journal.pone.0001967

URL : https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0001967&type=printable

C. Ashokkumar, A. Gabriellan, M. Ningappa, G. Mazariegos, Q. Sun et al., Increased Monocyte Expression of Sialoadhesin During Acute Cellular Rejection and Other Enteritides After Intestine Transplantation in Children, Transplantation, vol.93, issue.5, pp.561-564, 2012.

S. Li, X. Huang, Z. Chen, H. Zhong, Q. Peng et al., , 2013.

, Neutrophil CD64 expression as a biomarker in the early diagnosis of bacterial infection: a meta-analysis, International Journal of Infectious Diseases, vol.17, issue.1

S. Xiong, L. Pu, H. Wang, L. Hu, Y. Ding et al., Neutrophil CD64 Index as a superior biomarker for early diagnosis of infection in febrile patients in the hematology department, Clinical Chemistry and Laboratory Medicine, issue.1, p.55, 2017.

J. Cid, R. Aguinaco, R. Sánchez, G. García-pardo, and A. Llorente, , 2010.

, Neutrophil CD64 expression as marker of bacterial infection: A systematic review and meta-analysis, Journal of Infection, vol.60, issue.5, pp.313-319

A. J. Kapasi, S. Dittrich, I. J. González, and T. C. Rodwell, Host Biomarkers for Distinguishing Bacterial from Non-Bacterial Causes of Acute Febrile Illness: A Comprehensive Review, PLOS ONE, vol.11, issue.8, 2016.

J. Nuutila, P. Jalava-karvinen, U. Hohenthal, P. Kotilainen, T. Pelliniemi et al., Use of complement regulators, CD35, CD46, CD55, and CD59, on leukocytes as markers for diagnosis of viral and bacterial infections, Human Immunology, vol.74, issue.5, pp.522-530, 2013.

J. Nuutila, P. Jalava-karvinen, U. Hohenthal, P. Kotilainen, T. Pelliniemi et al., A rapid flow cytometric method for distinguishing between febrile bacterial and viral infections, Journal of Microbiological Methods, vol.92, issue.1, pp.64-72, 2011.

, Evaluation of potential biomarkers for the discrimination of bacterial and viral infections, Infection, vol.39, issue.5, pp.411-417

J. Demaret, J. Saison, F. Venet, C. Malcus, F. Poitevin-later et al., Assessment of a novel flow cytometry technique of one-step intracellular staining: Example of FOXP3 in clinical samples, Cytometry Part B: Clinical Cytometry, vol.84, issue.3, pp.187-193, 2013.

F. Pitoiset, L. Cassard, K. El-soufi, L. Boselli, J. Grivel et al., Deep phenotyping of immune cell populations by optimized and standardized flow cytometry analyses: Deep Immunophenotyping for Clinical Studies, Cytometry Part A, vol.93, issue.8, pp.793-802, 2018.

F. Pitoiset, M. Barbié, G. Monneret, C. Braudeau, P. Pochard et al., A standardized flow cytometry procedure for the monitoring of regulatory T cells in clinical trials: a standardized method to monitor Tregs, Cytometry Part B: Clinical Cytometry, vol.94, issue.5, pp.621-626, 2018.

B. D. Hedley, M. Keeney, J. Popma, and I. Chin-yee, Novel lymphocyte screening tube using dried monoclonal antibody reagents, Cytometry Part B: Clinical Cytometry, vol.88, issue.6, pp.361-370, 2015.

A. Rajab, O. Axler, J. Leung, M. Wozniak, and A. Porwit, Ten-color 15-antibody flow cytometry panel for immunophenotyping of lymphocyte population, International Journal of Laboratory Hematology, vol.39, pp.76-85, 2017.

R. P. Correia, A. Rajab, L. C. Bento, A. M. Alexandre, A. C. Vaz et al., A ten-color tube with dried antibody reagents for the screening of hematological malignancies, International Journal of Laboratory Hematology, vol.40, issue.2, pp.136-143, 2018.

C. Jamin, L. Le-lann, D. Alvarez-errico, N. Barbarroja, T. Cantaert et al., Multi-center harmonization of flow cytometers in the context of the European, PRECISESADS" project. Autoimmunity Reviews, vol.15, issue.11, pp.1038-1045, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01352724

P. Hausfater, G. Juillien, B. Madonna-py, J. Haroche, M. Bernard et al., Serum procalcitonin measurement as diagnostic and prognostic marker in febrile adult patients presenting to the emergency department, Critical Care, vol.11, issue.3, p.60, 2007.

P. Hausfater, S. Garric, S. B. Ayed, M. Rosenheim, M. Bernard et al., Usefulness of Procalcitonin as a Marker of Systemic Infection in Emergency Department Patients: A Prospective Study, Clinical Infectious Diseases, vol.34, issue.7, pp.895-901, 2002.

L. Hu, Q. Shi, M. Shi, R. Liu, and C. Wang, Diagnostic Value of PCT and CRP for Detecting Serious Bacterial Infections in Patients With Fever of Unknown Origin: A Systematic Review and Meta-analysis, Applied Immunohistochemistry & Molecular Morphology, vol.25, issue.8, pp.61-69, 2017.

E. Cuquemelle, F. Soulis, D. Villers, F. Roche-campo, A. Somohano et al., Can procalcitonin help identify associated bacterial infection in patients with severe influenza pneumonia? A multicentre study, Intensive Care Medicine, vol.37, issue.5, pp.796-800, 2011.

R. Pfister, M. Kochanek, T. Leygeber, C. Brun-buisson, E. Cuquemelle et al., Procalcitonin for diagnosis of bacterial pneumonia in critically ill patients during 2009 H1N1 influenza pandemic: a prospective cohort study, systematic review and individual patient data meta-analysis, Critical Care, vol.18, issue.2, p.44, 2014.

J. P. Haran, F. L. Beaudoin, S. Suner, and S. Lu, C-reactive protein as predictor of bacterial infection among patients with an influenza-like illness, The American Journal of Emergency Medicine, vol.31, issue.1, pp.137-144, 2013.

B. M. Tang, G. D. Eslick, J. C. Craig, and A. S. Mclean, Accuracy of procalcitonin for sepsis diagnosis in critically ill patients: systematic review and metaanalysis, The Lancet Infectious Diseases, vol.7, issue.3, pp.210-217, 2007.

P. Ray, G. Badarou-acossi, A. Viallon, D. Boutoille, M. Arthaud et al., Accuracy of the cerebrospinal fluid results to differentiate bacterial from non bacterial meningitis, in case of negative gram-stained smear, The American Journal of Emergency Medicine, vol.25, issue.2, pp.41-44, 2003.

J. E. Fischer, L. M. Bachmann, and R. Jaeschke, A readers' guide to the interpretation of diagnostic test properties: clinical example of sepsis, Intensive Care Medicine, vol.29, issue.7, pp.1043-1051, 2003.

S. Mokuda, O. Doi, and K. Takasugi, Simultaneous quantitative analysis of the expression of CD64 and CD35 on neutrophils as markers to differentiate between bacterial and viral infections in patients with rheumatoid arthritis, Modern Rheumatology, vol.22, issue.5, pp.750-757, 2012.

M. Pino, I. Erkizia, S. Benet, E. Erikson, M. T. Fernández-figueras et al., HIV-1 immune activation induces Siglec-1 expression and enhances viral trans-infection in blood and tissue myeloid cells, Retrovirology, issue.1, p.12, 2015.

J. Demaret, A. Walencik, M. Jacob, J. Timsit, F. Venet et al.,

G. Monneret, Inter-laboratory assessment of flow cytometric monocyte HLA-DR expression in clinical samples, Cytometry Part B: Clinical Cytometry, vol.84, issue.1, pp.59-62, 2013.

G. Monneret and F. Venet, Monocyte HLA-DR in sepsis: shall we stop following the flow? Critical Care, vol.18, p.102, 2014.

S. Remy, M. Gossez, A. Belot, J. Hayman, A. Portefaix et al.,

G. Monneret, J. E. Juskewitch, R. S. Abraham, S. C. League, S. M. Jenkins et al., Massive increase in monocyte HLA-DR expression can be used to discriminate between septic shock and hemophagocytic lymphohistiocytosis-induced shock, Pediatric research, vol.78, issue.6, pp.683-690, 2015.
URL : https://hal.archives-ouvertes.fr/hal-02266062

I. Srugo, A. Klein, M. Stein, O. Golan-shany, N. Kerem et al., Validation of a Novel Assay to Distinguish Bacterial and Viral Infections, Pediatrics, vol.140, issue.4, 2017.

J. Weh, C. Antoni, C. Weiß, P. Findeisen, M. Ebert et al., , 2013.

, Discriminatory potential of C-reactive protein, cytokines, and fecal markers in infectious gastroenteritis in adults. Diagnostic Microbiology and Infectious Disease, vol.77, pp.79-84

K. Oved, A. Cohen, O. Boico, R. Navon, T. Friedman et al.,

Z. Tang, D. Qin, M. Tao, K. Lv, S. Chen et al., Examining the utility of the CD64 index compared with other conventional indices for early diagnosis of neonatal infection, A Novel Host-Proteome Signature for Distinguishing between Acute Bacterial and Viral Infections, vol.10, 2018.

M. Meisner, Update on procalcitonin measurements, Ann Lab Med, 2014.

A. Crp, Protéine C-réactive

, GB: Globules blancs

, MIF: Moyenne d'intensité de fluorescence. PCT: Procalcitonine

, PNN: Polynucléaires neutrophiles

:. Se and . Sensibilité,

, Sp: Spécificité. Uf: Unité de fluorescence. VPN: Valeur prédictive négative. VPP: Valeur prédictive posotive. ASC: Aire sous la courbe

, SAU: Service d'acceuil des urgences

. Serment-d'hippocrate,

, Au moment d'être admis(e) à exercer la médecine, je promets et je jure d'être fidèle aux lois de l'honneur et de la probité

, Mon premier souci sera de rétablir, de préserver ou de promouvoir la santé dans tous ses éléments, physiques et mentaux

, Je respecterai toutes les personnes, leur autonomie et leur volonté, sans aucune discrimination selon leur état ou leurs convictions. J'interviendrai pour les protéger si elles sont affaiblies, vulnérables ou menacées dans leur intégrité ou leur dignité. Même sous la contrainte

, Je ne tromperai jamais leur confiance et n'exploiterai pas le pouvoir hérité des circonstances pour forcer les consciences

, Je donnerai mes soins à l'indigent et à quiconque me les demandera. Je ne me laisserai pas influencer par la soif du gain ou la recherche de la gloire

, Admis(e) dans l'intimité des personnes, je tairai les secrets qui me seront confiés

, Reçu(e) à l'intérieur des maisons, je respecterai les secrets des foyers et ma conduite ne servira pas à corrompre les moeurs

, Je ferai tout pour soulager les souffrances. Je ne prolongerai pas abusivement les agonies. Je ne provoquerai jamais la mort délibérément

, Je n'entreprendrai rien qui dépasse mes compétences. Je les entretiendrai et les perfectionnerai pour assurer au mieux les services qui me seront demandés

, J'apporterai mon aide à mes confrères ainsi qu'à leurs familles dans l'adversité

, Que les hommes et mes confrères m'accordent leur estime si je suis fidèle à mes promesses