A Four-Gene Signature from Blood to Exclude Bacterial Etiology of Lower Respiratory Tract Infection in Adults

A Four-Gene Signature from Blood to Exclude Bacterial Etiology of Lower Respiratory Tract Infection in Adults

504 illnesses adjudicated as viral, bacterial or mixed viral bacterial infections

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Bibliografische gegevens
Hoofdauteur:	Edward E. Walsh (20760337) (author)
Andere auteurs:	Ann R. Falsey (20760336) (author), Angela R. Branche (20760340) (author)
Gepubliceerd in:	2025
Onderwerpen:	Medicine Infectious Diseases gene expression diagnostics assays Respiratory Infections
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!

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Acute and convalescent data for serological assays, colored by probability of infection found during model testing for Model 9. a) Geometric mean titers of a haemagglutination inhibition assay (GM HAI) for all four serotypes of dengue virus. b) Immunoglobulin G (IgG) c) Immunoglobulin M (IgM) d) Ratio of IgM to IgG at both acute and convalescent sera samples.
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Acute and convalescent samples from cohort study data for serological assays, colored by the number of serological assays (RT-PCR, HAI, and EIA) that interpret the individual as having an infection. a) Geometric mean titers of a haemagglutination inhibition assay (GM HAI) for all four serotypes of dengue virus. b) Immunoglobulin G (IgG) c) Immunoglobulin M (IgM) d) Ratio of IgM to IgG at both acute and convalescent serum samples.
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Acute and convalescent serological data from Thai cohorts used in this analyses, colored by true infections status and prediction of infection during model testing.
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Simulated serological data using serosim and subsequent results using the full mixture model on (a) HAI, (b) IgG and (c) IgM data with additional observational noise.
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Distribution of paired serological data that fall into probability buckets when using Model 9 (incorporating paired IgG, IgM, GM HAI, and acute GM HAI serological data) and the number of serological assays (RT-PCR, HAI, and EIA) that interpret the individual as having an infection.
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Model comparisons for simulated data with differing amounts of observational noise.
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Relative observational noise by assay and dataset.
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Parameters for forward simulation using serosim [38].
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Acute and convalescent data for serological assays, colored by probability of.
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