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. 2020 Apr 16;12(4):e7684.
doi: 10.7759/cureus.7684.

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

Affiliations

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

Abdulrahman S Museedi et al. Cureus. .

Abstract

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.

Keywords: cost effectiveness; discharge; flu; influenza; mortality; national trends.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Hospital discharges for influenza-related admissions from 1993-2015
Figure 2
Figure 2. Characterization of variables in influenza discharge analysis
NIS: National Inpatient Sample
Figure 3
Figure 3. Yearly inpatient mortality differential in patients hospitalized with influenza
Figure 4
Figure 4. Yearly inpatient mortality in patients hospitalized with influenza from 1993 to 2015
Figure 5
Figure 5. Yearly mean age in patients hospitalized with influenza from 1993 to 2015

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