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Influenza: National Trends Using the National Inpatient Sample Database from 1993 to 2015

Background There is a significant impact of influenza on individuals, families, and societies both economically and clinically. This significant impact is a result of hospital admissions, medication expenses, side effects, secondary bacterial infections, and more days off from work or other forms of...

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Autores principales: Museedi, Abdulrahman S, Nashawi, Mouhamed, Ghali, Abdullah, Alameri, Aws, Alshami, Abbas, Nathanson, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233507/
https://www.ncbi.nlm.nih.gov/pubmed/32431964
http://dx.doi.org/10.7759/cureus.7684
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author Museedi, Abdulrahman S
Nashawi, Mouhamed
Ghali, Abdullah
Alameri, Aws
Alshami, Abbas
Nathanson, Robert
author_facet Museedi, Abdulrahman S
Nashawi, Mouhamed
Ghali, Abdullah
Alameri, Aws
Alshami, Abbas
Nathanson, Robert
author_sort Museedi, Abdulrahman S
collection PubMed
description Background There is a significant impact of influenza on individuals, families, and societies both economically and clinically. This significant impact is a result of hospital admissions, medication expenses, side effects, secondary bacterial infections, and more days off from work or other forms of reduced productivity for the patients or their caretakers. Our objective is to present the trends in the rate of hospital discharges per 100,000 population from the years 1993 through 2015, the mean age, and the inpatient mortality rate. Methods This is a retrospective study utilizing the National Inpatient Sample (NIS) from 1993 through 2015. Discharges due to influenza from 1993 to 2015 were identified, and the rate of discharges per 100,000 population, inpatient mortality, and mean age of discharged patients were trended. Linear regression was used to assess if the deviation from horizontal was statistically significant for the trends of the rate of discharges per 100,000 population, mean age, and percentage of the inpatient mortality. Result The mean age and inpatient mortality vary from year to year. The linear regression analysis for the trends was not statistically significant, and for the percentage of the inpatient mortality, the deviation from horizontal was not significant, P-value 0.75 and F-value: 0.09. Similarly, for the mean age, the deviation from horizontal was not significant with a P-value of 0.97 and an F-value of 0.001. However, the linear regression analysis for the rate of discharges per 100,000 population was remarkable for a statistically significant deviation from the horizontal with a P-value of 0.0002 and an F value of 19.5. Conclusion Recent advancements in influenza detection have made the detection feasible, quick, and cost-effective. However, the role of these advanced modalities on the outcome is still controversial. Our analysis revealed a significant increase in the rate of discharges due to influenza, but there was no significant change in the parentage of the inpatient mortality over the years between 1993 - 2015. Advanced influenza virus detection tests are now recommended in both outpatient (including emergency department) and inpatient admissions. The recent increase in inpatient admissions could be due to better detection modalities. However, no change in the percentage of inpatient mortality makes the impact of these detection tests on the outcome questionable. A further prospective study is warranted to assess the impact of these tests on the outcome. 
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spelling pubmed-72335072020-05-19 Influenza: National Trends Using the National Inpatient Sample Database from 1993 to 2015 Museedi, Abdulrahman S Nashawi, Mouhamed Ghali, Abdullah Alameri, Aws Alshami, Abbas Nathanson, Robert Cureus Emergency Medicine Background There is a significant impact of influenza on individuals, families, and societies both economically and clinically. This significant impact is a result of hospital admissions, medication expenses, side effects, secondary bacterial infections, and more days off from work or other forms of reduced productivity for the patients or their caretakers. Our objective is to present the trends in the rate of hospital discharges per 100,000 population from the years 1993 through 2015, the mean age, and the inpatient mortality rate. Methods This is a retrospective study utilizing the National Inpatient Sample (NIS) from 1993 through 2015. Discharges due to influenza from 1993 to 2015 were identified, and the rate of discharges per 100,000 population, inpatient mortality, and mean age of discharged patients were trended. Linear regression was used to assess if the deviation from horizontal was statistically significant for the trends of the rate of discharges per 100,000 population, mean age, and percentage of the inpatient mortality. Result The mean age and inpatient mortality vary from year to year. The linear regression analysis for the trends was not statistically significant, and for the percentage of the inpatient mortality, the deviation from horizontal was not significant, P-value 0.75 and F-value: 0.09. Similarly, for the mean age, the deviation from horizontal was not significant with a P-value of 0.97 and an F-value of 0.001. However, the linear regression analysis for the rate of discharges per 100,000 population was remarkable for a statistically significant deviation from the horizontal with a P-value of 0.0002 and an F value of 19.5. Conclusion Recent advancements in influenza detection have made the detection feasible, quick, and cost-effective. However, the role of these advanced modalities on the outcome is still controversial. Our analysis revealed a significant increase in the rate of discharges due to influenza, but there was no significant change in the parentage of the inpatient mortality over the years between 1993 - 2015. Advanced influenza virus detection tests are now recommended in both outpatient (including emergency department) and inpatient admissions. The recent increase in inpatient admissions could be due to better detection modalities. However, no change in the percentage of inpatient mortality makes the impact of these detection tests on the outcome questionable. A further prospective study is warranted to assess the impact of these tests on the outcome.  Cureus 2020-04-16 /pmc/articles/PMC7233507/ /pubmed/32431964 http://dx.doi.org/10.7759/cureus.7684 Text en Copyright © 2020, Museedi et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Emergency Medicine
Museedi, Abdulrahman S
Nashawi, Mouhamed
Ghali, Abdullah
Alameri, Aws
Alshami, Abbas
Nathanson, Robert
Influenza: National Trends Using the National Inpatient Sample Database from 1993 to 2015
title Influenza: National Trends Using the National Inpatient Sample Database from 1993 to 2015
title_full Influenza: National Trends Using the National Inpatient Sample Database from 1993 to 2015
title_fullStr Influenza: National Trends Using the National Inpatient Sample Database from 1993 to 2015
title_full_unstemmed Influenza: National Trends Using the National Inpatient Sample Database from 1993 to 2015
title_short Influenza: National Trends Using the National Inpatient Sample Database from 1993 to 2015
title_sort influenza: national trends using the national inpatient sample database from 1993 to 2015
topic Emergency Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233507/
https://www.ncbi.nlm.nih.gov/pubmed/32431964
http://dx.doi.org/10.7759/cureus.7684
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