Home Updated statistics on Influenza mortality
Article
Licensed
Unlicensed Requires Authentication

Updated statistics on Influenza mortality

  • Camilla Mattiuzzi , Brandon M. Henry and Giuseppe Lippi ORCID logo EMAIL logo
Published/Copyright: November 29, 2023

Abstract

We have planned this analysis to provide current statistics on mortality directly caused by Influenza viruses in recent years in the US. We performed an electronic search in the online database CDC WONDER to obtain current statistics on direct mortality caused by Influenza viruses in the US. Mortality data are derived from information on all death certificates issued in the 50 states and the District of Columbia, excluding deaths of nonresidents. Our basic query criteria included Influenza-specific ICD-10 codes. Influenza caused an average of 7,670 deaths per year from 2018 to 2020 based on Influenza-specific ICD-10 codes, with a corresponding mean death rate of 2.3 × 100,000. The death rate increased in parallel with the age of the US resident population, from 0.2 × 100,000 in the 5–24 age group to 37.4 × 100,000 in US residents aged 85 years or older. No substantial differences were observed in males vs. females. The results of this analysis show that Influenza remains a significant clinical burden in the general population, with a cumulative mortality rate of approximately 2.3 × 100,000, but increasing more than tenfold (to over 37 × 100,000) in older persons.


Corresponding author: Prof. Giuseppe Lippi, Section of Clinical Biochemistry, University Hospital of Verona, Piazzale L.A. Scuro, 10, 37134 Verona, Italy; and Section of Clinical Biochemistry and School of Medicine, University of Verona, Verona, Italy, Phone: +39 045 8122970, Fax: +39 045 8124308, E-mail:
Camilla Mattiuzzi and Brandon M. Henry contributed equally to this work.
  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors contributed equally to this study.

  4. Competing interests: The authors state no conflict of interest.

  5. Research funding: None declared.

  6. Data availability: Data will be available upon reasonable request to the corresponding author.

References

1. World Health Organization. WHO coronavirus (COVID-19) dashboard. https://covid19.who.int/ [Accessed 12 Oct 2023].Search in Google Scholar

2. Abi-Rached, JM, Brandt, AM. Do pandemics ever end? N Engl J Med 2023;389:1349–51. https://doi.org/10.1056/nejmp2306631.Search in Google Scholar

3. Centers for Disease Control and Prevention, National Center for Health Statistics. National Vital Statistics System, mortality 2018–2021 on CDC WONDER Online Database, released in 2021. Data are from the multiple cause of death files, 2018–2021, as compiled from data provided by the 57 vital statistics jurisdictions through the Vital Statistics Cooperative Program. http://wonder.cdc.gov/ucd-icd10-expanded.html [Accessed 12 Oct 2023].Search in Google Scholar

4. Veronese, N, Smith, L, Di Gennaro, F, Bruyère, O, Yang, L, Demurtas, J, et al.. Influenza vaccination and COVID-19 Outcomes in people older than 50 Years: data from the Observational longitudinal SHARE study. Vaccines (Basel) 2022;10:899. https://doi.org/10.3390/vaccines10060899.Search in Google Scholar PubMed PubMed Central

5. Ngwudike, CJ, Villalobos, A. Correlation between cardiovascular protection and Influenza vaccination. Curr Cardiol Rep 2023;25:571–6. https://doi.org/10.1007/s11886-023-01875-w.Search in Google Scholar PubMed PubMed Central

Received: 2023-11-07
Accepted: 2023-11-15
Published Online: 2023-11-29

© 2023 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Opinion Paper
  3. Exploring synthesis as a vital cognitive skill in complex clinical diagnosis
  4. Original Articles
  5. Physiologic measurements of cognitive load in clinical reasoning
  6. Impact of diagnostic management team on patient time to diagnosis and percent of accurate and clinically actionable diagnoses
  7. Game-based learning to improve diagnostic accuracy: a pilot randomized-controlled trial
  8. A patient follow-up intervention to improve medical decision making at an internal medicine residency program
  9. Application of a diagnosis flow draft based on appearance impression for detection of vulvar disease
  10. The consequences of delayed diagnosis and treatment in persons with multiple sclerosis given autologous hematopoietic stem cell transplantation
  11. Troponin testing in routine primary care: observations from a dynamic cohort study in the Amsterdam metropolitan area
  12. Use of saliva-based qPCR diagnostics for the accurate, rapid, and inexpensive detection of strep throat
  13. Short Communications
  14. Improving communication of diagnostic uncertainty to families of hospitalized children
  15. Association of diagnostic error education and recognition frequency among Japanese medical students: a nationwide cross-sectional study
  16. Updated statistics on Influenza mortality
  17. Letters to the Editor
  18. How case reports can be used to improve diagnosis
  19. Clinical assessment of Ortho VITROS SARS-CoV-2 antigen chemiluminescence immunoassay
  20. Convicting a wrong molecule?
  21. Case Reports - Lessons in Clinical Reasoning
  22. Lessons in clinical reasoning – pitfalls, myths, and pearls: a woman brought to a halt
  23. Lessons in clinical reasoning – pitfalls, myths, and pearls: shoulder pain as the first and only manifestation of lung cancer
  24. Congress Abstracts
  25. The Future of Diagnosis: Achieving Excellence and Equity
  26. The Future of Diagnosis: Navigating Uncertainty
Downloaded on 19.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/dx-2023-0158/html
Scroll to top button