Back to Search Start Over

Improving Accuracy of Influenza-Associated Hospitalization Rate Estimates

Authors :
Deborah Aragon
Lyn Finelli
Ruth Lynfield
Nancy M. Bennett
Joan Baumbach
Annette Atkinson
Carrie Reed
Patricia Ryan
Ann Thomas
Mary Lou Lindegren
Sandra S. Chaves
Pam Daily Kirley
Monica M. Farley
James Collins
Brian Fowler
Shelley M. Zansky
James Meek
Alexander J. Millman
Source :
Emerging Infectious Diseases, Vol 21, Iss 9, Pp 1595-1601 (2015), Emerging Infectious Diseases
Publication Year :
2015
Publisher :
Centers for Disease Control and Prevention (CDC), 2015.

Abstract

Adjusting for diagnostic test sensitivity enables more accurate and timely comparisons over time.<br />Diagnostic test sensitivity affects rate estimates for laboratory-confirmed influenza–associated hospitalizations. We used data from FluSurv-NET, a national population-based surveillance system for laboratory-confirmed influenza hospitalizations, to capture diagnostic test type by patient age and influenza season. We calculated observed rates by age group and adjusted rates by test sensitivity. Test sensitivity was lowest in adults >65 years of age. For all ages, reverse transcription PCR was the most sensitive test, and use increased from 65 years. After 2009, hospitalization rates adjusted by test sensitivity were ≈15% higher for children 65 years of age. Test sensitivity adjustments improve the accuracy of hospitalization rate estimates.

Details

ISSN :
10806059 and 10806040
Volume :
21
Database :
OpenAIRE
Journal :
Emerging Infectious Diseases
Accession number :
edsair.doi.dedup.....2f03f407375baec75aeb1404fcfefbea
Full Text :
https://doi.org/10.3201/eid2109.141665