Background:
Age and Coronavirus disease 2019 (COVID-19) mortality has been a hot topic since the beginning of the pandemic. This study sought to explore the relationship between age and COVID-19 mortality.
Methods:
A chart review was conducted of 6,000 hospitalized patients with positive COVID-19 polymerase chain reaction (PCR) tests from March 2020 to June 2021 at Methodist Health System in Dallas, Texas. Patient age, gender, and ethnicity were collected. The sample included 3,114 males and 2,886 females with a mean age of 61.6±17.1 years. Ethnicity selected by the patient was used. Patients were divided into four groups based on age, ≤30, 31-55, 56-70, and ≥71 years old. Chi-square and binomial logistic regression tests were used to calculate p-values and the odds ratio of mortality based on age independent of other variables.
Results:
No statistically significant difference in mortality based on age was found. Patients ≤30 years old had the highest mortality at 15.6%, while those 56-70 years old had the lowest mortality rate at 11.8%, with p(0.22) independent of gender and ethnicity, as shown in Table 1.
Conclusion:
Our retrospective study suggested that age cannot be reliably used to predict mortality of admitted COVID-19 patients, independent of gender and race.
Footnotes
Poster Contributions
For exact presentation time, refer to the online ACC.22 Program Planner at https://www.abstractsonline.com/pp8/#!/10461
Session Title: Spotlight on Special Topics Flatboard Poster Selections: COVID
Abstract Category: 61. Spotlight on Special Topics: Coronavirus Disease (COVID-19)