About: Use of Multiple Imputation to Estimate the Proportion of Respiratory Virus Detections Among Patients Hospitalized With Community-Acquired Pneumonia

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About: Use of Multiple Imputation to Estimate the Proportion of Respiratory Virus Detections Among Patients Hospitalized With Community-Acquired Pneumonia Goto Sponge NotDistinct Permalink

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Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Use of Multiple Imputation to Estimate the Proportion of Respiratory Virus Detections Among Patients Hospitalized With Community-Acquired Pneumonia
Creator	Edwards, Kathryn Finelli, Lyn Ampofo, Krow Reed, Carrie Bramley, Anna Jain, Seema Erdman, Dean Levine, Min Lindstrom, Stephen Anderson, Evan Bozio, Catherine Arnold, Sandra Grijalva, Carlos Mccullers, Jonathan Pavia, Andrew Self, Wesley Williams, Derek Wunderink, Richard Vidal, Jorge Flanders, W Gandhi, Neel
Source	Medline; PMC
abstract	BACKGROUND: Real-time polymerase chain reaction (PCR) on respiratory specimens and serology on paired blood specimens are used to determine the etiology of respiratory illnesses for research studies. However, convalescent serology is often not collected. We used multiple imputation to assign values for missing serology results to estimate virus-specific prevalence among pediatric and adult community-acquired pneumonia hospitalizations using data from an active population-based surveillance study. METHODS: Presence of adenoviruses, human metapneumovirus, influenza viruses, parainfluenza virus types 1–3, and respiratory syncytial virus was defined by positive PCR on nasopharyngeal/oropharyngeal specimens or a 4-fold rise in paired serology. We performed multiple imputation by developing a multivariable regression model for each virus using data from patients with available serology results. We calculated absolute and relative differences in the proportion of each virus detected comparing the imputed to observed (nonimputed) results. RESULTS: Among 2222 children and 2259 adults, 98.8% and 99.5% had nasopharyngeal/oropharyngeal specimens and 43.2% and 37.5% had paired serum specimens, respectively. Imputed results increased viral etiology assignments by an absolute difference of 1.6%–4.4% and 0.8%–2.8% in children and adults, respectively; relative differences were 1.1–3.0 times higher. CONCLUSIONS: Multiple imputation can be used when serology results are missing, to refine virus-specific prevalence estimates, and these will likely increase estimates.
has issue date	2018-03-16(xsd:dateTime)
bibo:doi	10.1093/ofid/ofy061
bibo:pmid	29946553
has license	no-cc
sha1sum (hex)	6aea28fcc5fd390a3254294d9cb4cb7143dddf05
schema:url	https://doi.org/10.1093/ofid/ofy061
resource representing a document's title	Use of Multiple Imputation to Estimate the Proportion of Respiratory Virus Detections Among Patients Hospitalized With Community-Acquired Pneumonia
has PubMed Central identifier	PMC5890478
has PubMed identifier	29946553
schema:publication	Open Forum Infect Dis
resource representing a document's body	covid:6aea28fcc5fd390a3254294d9cb4cb7143dddf05#body_text
is schema:about of	named entity 'estimate' named entity 'However' named entity 'Virus' named entity 'Pneumonia' named entity 'VALUES' named entity 'NOT COLLECTED' named entity 'ESTIMATE' named entity 'MISSING' named entity 'BLOOD' named entity 'DATA' named entity 'CONVALESCENT' named entity 'convalescent' named entity 'paired' named entity 'PCR' named entity 'pediatric' named entity 'Multiple' named entity 'serology' named entity 'pediatric' named entity 'serology' named entity 'active population' named entity 'AdV' named entity 'influenza season' named entity 'PCR' named entity 'high-quality' named entity 'meta-analyses' named entity 'low-power' named entity 'absolute difference' named entity 'epidemiologic' named entity 'serology tests' named entity 'virus' named entity 'clinical characteristics' named entity 'bronchoalveolar lavage' named entity 'pneumonia' named entity 'IgG antibody' named entity 'Nashville' named entity 'Abdominal pain' named entity 'influenza' named entity 'serum' named entity 'abdominal pain' named entity 'United States' named entity 'microbiological' named entity 'PCR' named entity 'serology' named entity 'bivariate analysis' named entity 'HMPV' named entity 'infection' named entity 'bacterial pathogen' named entity 'serology' named entity 'virus' named entity 'influenza' named entity 'virus' named entity 'sensitivity analysis' named entity 'viruses' named entity 'CAP' named entity 'parainfluenza' named entity 'demographic' named entity 'CDC' named entity 'antigen' named entity 'Nashville' named entity 'pneumonia' named entity 'caregiver'

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