title: Use of several immunological markers to model the probability of active tuberculosis.
abstract: Blood-based biomarkers tests are attractive alternative for diagnosing tuberculosis to assays depending on mycobacteria detection. Given several immunological markers we used logistic regression to model the probability of active tuberculosis in a cohort of patients with active or latent tuberculosis, showing an increased accuracy in distinguishing active from latent tuberculosis.
authors.affiliation: Translational Research Unit, Department of Epidemiology, Preclinical Research and Advanced Diagnostics, "L. Spallanzani" National Institute for Infectious Diseases (INMI) IRCCS, Via Portuense 292, Rome, 00149, Italy.
authors.forename: Elisa
authors.initials: E
authors.lastname: Petruccioli
authors.affiliation: Clinical Epidemiology Unit, Department of Epidemiology, Preclinical Research and Advanced Diagnostics, "L. Spallanzani" National Institute for Infectious Diseases (INMI) IRCCS, Via Portuense 292, Rome, 00149, Italy.
authors.forename: Assunta
authors.initials: A
authors.lastname: Navarra
authors.affiliation: Translational Research Unit, Department of Epidemiology, Preclinical Research and Advanced Diagnostics, "L. Spallanzani" National Institute for Infectious Diseases (INMI) IRCCS, Via Portuense 292, Rome, 00149, Italy.
authors.forename: Linda
authors.initials: L
authors.lastname: Petrone
authors.affiliation: Translational Research Unit, Department of Epidemiology, Preclinical Research and Advanced Diagnostics, "L. Spallanzani" National Institute for Infectious Diseases (INMI) IRCCS, Via Portuense 292, Rome, 00149, Italy.
authors.forename: Valentina
authors.initials: V
authors.lastname: Vanini
authors.affiliation: Translational Research Unit, Department of Epidemiology, Preclinical Research and Advanced Diagnostics, "L. Spallanzani" National Institute for Infectious Diseases (INMI) IRCCS, Via Portuense 292, Rome, 00149, Italy.
authors.forename: Gilda
authors.initials: G
authors.lastname: Cuzzi
authors.affiliation: Clinical Department, INMI, Rome, Italy.
authors.forename: Gina
authors.initials: G
authors.lastname: Gualano
authors.affiliation: Clinical Department, INMI, Rome, Italy.
authors.forename: Fabrizio
authors.initials: F
authors.lastname: Palmieri
authors.affiliation: Clinical Epidemiology Unit, Department of Epidemiology, Preclinical Research and Advanced Diagnostics, "L. Spallanzani" National Institute for Infectious Diseases (INMI) IRCCS, Via Portuense 292, Rome, 00149, Italy.
authors.forename: Enrico
authors.initials: E
authors.lastname: Girardi
authors.affiliation: Translational Research Unit, Department of Epidemiology, Preclinical Research and Advanced Diagnostics, "L. Spallanzani" National Institute for Infectious Diseases (INMI) IRCCS, Via Portuense 292, Rome, 00149, Italy. Electronic address: delia.goletti@inmi.it.
authors.forename: Delia
authors.initials: D
authors.lastname: Goletti
mesh_terms: D015415:Biomarkers / Q000032:analysis*; D015496:CD4-Positive T-Lymphocytes / Q000737:chemistry; D005434:Flow Cytometry / Q000379:methods*; D006801:Humans; D007371:Interferon-gamma / Q000032:analysis; D009161:Mycobacterium / Q000276:immunology*; D012680:Sensitivity and Specificity; D014376:Tuberculosis / Q000175:diagnosis*; D018127:Tumor Necrosis Factor Receptor Superfamily, Member 7 / Q000032:analysis; D014409:Tumor Necrosis Factor-alpha / Q000032:analysis
chemical_list: D015415:Biomarkers; D018127:Tumor Necrosis Factor Receptor Superfamily, Member 7; D014409:Tumor Necrosis Factor-alpha; D007371:Interferon-gamma
keywords: Biomarkers; CD27; Diagnosis; Latent infection; Phenotype; Tuberculosis