Bayesian latent class estimation of the incidence of chest radiograph-confirmed pneumonia in rural Thailand
Supporting Files
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March 02 2016
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File Language:
English
Details
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Alternative Title:Epidemiol Infect
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Personal Author:
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Description:Pneumonia is a leading cause of mortality and morbidity worldwide with radiographically confirmed pneumonia a key disease burden indicator. This is usually determined by a radiology panel which is assumed to be the best available standard; however, this assumption may introduce bias into pneumonia incidence estimates. To improve estimates of radiographic pneumonia incidence, we applied Bayesian latent class modelling (BLCM) to a large database of hospitalized patients with acute lower respiratory tract illness in Sa Kaeo and Nakhon Phanom provinces, Thailand from 2005 to 2010 with chest radiographs read by both a radiology panel and a clinician. We compared these estimates to those from conventional analysis. For children aged <5 years, estimated radiographically confirmed pneumonia incidence by BLCM was 2394/100 000 person-years (95% credible interval 2185-2574) vs. 1736/100 000 person-years (95% confidence interval 1706-1766) from conventional analysis. For persons aged ⩾5 years, estimated radiographically confirmed pneumonia incidence was similar between BLCM and conventional analysis (235 vs. 215/100 000 person-years). BLCM suggests the incidence of radiographically confirmed pneumonia in young children is substantially larger than estimated from the conventional approach using radiology panels as the reference standard.
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Subjects:
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Source:Epidemiol Infect. 144(13):2858-2865
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Pubmed ID:26932149
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Pubmed Central ID:PMC5607062
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Document Type:
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Funding:
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Place as Subject:
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Volume:144
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Issue:13
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Collection(s):
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Main Document Checksum:urn:sha256:e722aab6f3dceed85f02a769462638fda87bc6f8f426faaa4cdfbed8024f143d
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Download URL:
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File Type:
Supporting Files
File Language:
English
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