Globally, influenza infection is a major cause of morbidity and mortality in the elderly, who are suggested to be the major target group for trivalent influenza vaccine (TIV) vaccination by World Health Organization. In spite of an increasing trend in vaccine coverage rates in many countries, the effect of vaccination among the elderly in reducing hospitalization and mortality remains controversial. In this study, we conducted a historical cohort study to evaluate the temporal pattern of influenza-associated morbidity among persons older than 64 years over a decade. The temporal patterns of influenza-associated morbidity rates among the elderly older than 64 years indicated that Taiwan's elderly P&I outpatient visits have been decreasing since the beginning of the 1999-2000 influenza season; however, hospitalization has been increasing despite significant increases in vaccine coverage. The propensity score logistic regression model was implemented to evaluate the source of bias and it was found that the TIV-receiving group had a higher propensity score than the non-receiving group (P<0.0001). In order to investigate the major factors affecting the temporal pattern of influenza-associated morbidity, we then used the propensity score as a summary confounder in a multivariate Poisson regression model based on the trimmed data. Our final models suggested that the factors affected the temporal pattern of morbidity differently. The variables including co-morbidity, vaccination rate, influenza virus type A and B isolation rate were associated with increased outpatient visits and hospitalization (p<0.05). In contrast, variables including high propensity score, increased 1°C in temperature, matching vaccine strains of type A/H1N1 and type B were associated with decreased outpatient visits and hospitalization (p<0.05). Finally, we assessed the impact of early appearance of antigenic-drifted strains and concluded that an excess influenza-associated morbidity substantial trends toward higher P&I hospitalization, but not outpatient visits, during the influenza season with early appearance of antigenic-drifted strains.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3885564 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0084239 | PLOS |
JAMA Netw Open
December 2024
Influenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia.
Importance: Increasing the understanding of vaccine effectiveness (VE) against levels of severe influenza in children could help increase uptake of influenza vaccination and strengthen vaccine policies globally.
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Design, Setting, And Participants: This case-control study with a test-negative design used data from 8 participating medical centers located in geographically different US states in the New Vaccine Surveillance Network from November 6, 2015, through April 8, 2020.
Influenza Other Respir Viruses
December 2024
Ministry of Health and Population, Cairo, Egypt.
Introduction: Influenza burden (IB) estimates are crucial for monitoring disease trends, allocating limited resources, and promoting influenza vaccination. However, IB in Egypt is poorly understood. This study estimates the mean-seasonal IB in Egypt, across levels of severity by age and regions using sentinel surveillance data between 2016 and 2019.
View Article and Find Full Text PDFClin Infect Dis
December 2024
National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States.
Background: The 2023-2024 influenza season had predominant influenza A(H1N1)pdm09 virus activity, but A(H3N2) and B viruses co-circulated. Seasonal influenza vaccine strains were well-matched to these viruses.
Methods: Using health care encounters data from health systems in 8 states, we evaluated influenza vaccine effectiveness (VE) against influenza-associated medical encounters from October 2023-April 2024.
Mediators Inflamm
December 2024
Emergency Department, Henan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
This study aims to investigate the predictive value of interleukin-6 (IL-6) and lymphocyte subsets for death in children with influenza-associated encephalopathy (IAE). This study included 76 children with IAE who were divided into a death group and a survival group. The differences in the levels of IL-6 and lymphocyte subsets between the two groups were analyzed, and the predictive value of these two parameters was compared by receiver operating characteristic (ROC) curve analysis.
View Article and Find Full Text PDFJAMA Netw Open
November 2024
Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia.
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