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1.
Influenza Other Respir Viruses ; 10(2): 86-90, 2016 Mar.
Artículo en Inglés | MEDLINE | ID: mdl-26505742

RESUMEN

BACKGROUND: Little is known about laboratory capacity to routinely diagnose influenza and other respiratory viruses at clinical laboratories and hospitals. AIMS: We sought to assess diagnostic practices for influenza and other respiratory virus in a survey of hospitals and laboratories participating in the US Influenza Hospitalization Surveillance Network in 2012-2013. MATERIALS AND METHODS: All hospitals and their associated laboratories participating in the Influenza Hospitalization Surveillance Network (FluSurv-NET) were included in this evaluation. The network covers more than 80 counties in 15 states, CA, CO, CT, GA, MD, MN, NM, NY, OR, TN, IA, MI, OH, RI, and UT, with a catchment population of ~28 million people. We administered a standardized questionnaire to key personnel, including infection control practitioners and laboratory departments, at each hospital through telephone interviews. RESULTS: Of the 240 participating laboratories, 67% relied only on commercially available rapid influenza diagnostic tests to diagnose influenza. Few reported the availability of molecular diagnostic assays for detection of influenza (26%) and other viral pathogens (≤20%) in hospitals and commercial laboratories. CONCLUSION: Reliance on insensitive assays to detect influenza may detract from optimal clinical management of influenza infections in hospitals.


Asunto(s)
Técnicas de Laboratorio Clínico/normas , Gripe Humana/diagnóstico , Laboratorios de Hospital/normas , Infecciones del Sistema Respiratorio/diagnóstico , Virosis/diagnóstico , Hospitalización/estadística & datos numéricos , Humanos , Gripe Humana/epidemiología , Gripe Humana/virología , Laboratorios de Hospital/estadística & datos numéricos , Infecciones del Sistema Respiratorio/epidemiología , Infecciones del Sistema Respiratorio/virología , Sensibilidad y Especificidad , Encuestas y Cuestionarios , Estados Unidos/epidemiología , Virosis/epidemiología , Virosis/virología
2.
PLoS One ; 10(3): e0118369, 2015.
Artículo en Inglés | MEDLINE | ID: mdl-25738736

RESUMEN

Annual estimates of the influenza disease burden provide information to evaluate programs and allocate resources. We used a multiplier method with routine population-based surveillance data on influenza hospitalization in the United States to correct for under-reporting and estimate the burden of influenza for seasons after the 2009 pandemic. Five sites of the Influenza Hospitalization Surveillance Network (FluSurv-NET) collected data on the frequency and sensitivity of influenza testing during two seasons to estimate under-detection. Population-based rates of influenza-associated hospitalization and Intensive Care Unit admission from 2010-2013 were extrapolated to the U.S. population from FluSurv-NET and corrected for under-detection. Influenza deaths were calculated using a ratio of deaths to hospitalizations. We estimated that influenza-related hospitalizations were under-detected during 2010-11 by a factor of 2.1 (95%CI 1.7-2.9) for age < 18 years, 3.1 (2.4-4.5) for ages 18-64 years, and 5.2 (95%CI 3.8-8.3) for age 65+. Results were similar in 2011-12. Extrapolated estimates for 3 seasons from 2010-2013 included: 114,192-624,435 hospitalizations, 18,491-95,390 ICU admissions, and 4,915-27,174 deaths per year; 54-70% of hospitalizations and 71-85% of deaths occurred among adults aged 65+. Influenza causes a substantial disease burden in the U.S. that varies by age and season. Periodic estimation of multipliers across multiple sites and age groups improves our understanding of influenza detection in sentinel surveillance systems. Adjusting surveillance data using a multiplier method is a relatively simple means to estimate the impact of influenza and the subsequent value of interventions to prevent influenza.


Asunto(s)
Gripe Humana/epidemiología , Adolescente , Adulto , Anciano , Niño , Femenino , Hospitalización/estadística & datos numéricos , Humanos , Gripe Humana/terapia , Masculino , Persona de Mediana Edad , Estaciones del Año , Estados Unidos
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