Use of several immunological markers to model the probability of active tuberculosis

Elisa Petruccioli; Assunta Navarra; Linda Petrone; Valentina Vanini; Gilda Cuzzi; Gina Gualano; Fabrizio Palmieri; Enrico Girardi; Delia Goletti

doi:10.1016/j.diagmicrobio.2016.06.007

Use of several immunological markers to model the probability of active tuberculosis

Elisa Petruccioli, Assunta Navarra, Linda Petrone, Valentina Vanini, Gilda Cuzzi, Gina Gualano, Fabrizio Palmieri, Enrico Girardi, Delia Goletti

Istituto Nazionale per le Malattie Infettive Lazzaro Spallanzani

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	169-171
Number of pages	3
Journal	Diagnostic Microbiology and Infectious Disease
Volume	86
Issue number	2
DOIs	https://doi.org/10.1016/j.diagmicrobio.2016.06.007
Publication status	Published - Oct 1 2016

Keywords

Biomarkers
CD27
Diagnosis
Latent infection
Phenotype
Tuberculosis

ASJC Scopus subject areas

Microbiology (medical)
Infectious Diseases

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10.1016/j.diagmicrobio.2016.06.007

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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.",

keywords = "Biomarkers, CD27, Diagnosis, Latent infection, Phenotype, Tuberculosis",

author = "Elisa Petruccioli and Assunta Navarra and Linda Petrone and Valentina Vanini and Gilda Cuzzi and Gina Gualano and Fabrizio Palmieri and Enrico Girardi and Delia Goletti",

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T1 - Use of several immunological markers to model the probability of active tuberculosis

AU - Petruccioli, Elisa

AU - Navarra, Assunta

AU - Petrone, Linda

AU - Vanini, Valentina

AU - Cuzzi, Gilda

AU - Gualano, Gina

AU - Palmieri, Fabrizio

AU - Girardi, Enrico

AU - Goletti, Delia

PY - 2016/10/1

Y1 - 2016/10/1

N2 - 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.

AB - 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.

KW - Biomarkers

KW - CD27

KW - Diagnosis

KW - Latent infection

KW - Phenotype

KW - Tuberculosis

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JO - Diagnostic Microbiology and Infectious Disease

JF - Diagnostic Microbiology and Infectious Disease

SN - 0732-8893

IS - 2

ER -

Use of several immunological markers to model the probability of active tuberculosis

Abstract

Keywords

ASJC Scopus subject areas

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