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Hospitalizations for coronavirus disease 2019: an analysis of the occurrence waves
Juliana Rodrigues Tovar Garbin1,2, Franciéle Marabotti Costa Leite1, Cristiano Soares Silva Dell'Antonio3
1Graduate Program in Public Health at the Universidade Federal do Espírito Santo (PPGSC/UFES), Vitória, ES, Brazil.
Insights
The average COVID-19 hospital stay varied across pandemic waves, influenced by patient age, education, location, and comorbidities like cardiovascular disease and obesity.
Area of Science:
- Epidemiology
- Public Health
Background:
- The COVID-19 pandemic evolved through distinct waves, each characterized by specific viral strains and epidemiological patterns.
- Understanding hospitalization trends is crucial for managing healthcare resources during public health crises.
Purpose of the Study:
- To analyze the mean length of hospital stay for COVID-19 patients during the first three pandemic waves.
- To examine the distribution of hospital stay duration based on sociodemographic and clinical factors.
Main Methods:
- Retrospective study utilizing hospitalization data for confirmed COVID-19 cases in a Brazilian state.
- Analysis of 13,910 hospitalizations across the first three pandemic waves.
- Statistical examination of length of stay in relation to age, education, residential area, and comorbidities.
Main Results:
- The first wave recorded the longest duration, while the third wave had the highest patient volume.
- Average hospital stay was associated with younger age groups (up to 60 years), varying education levels, periurban residency, and specific comorbidities.
- A statistically significant difference in mean hospitalization days was observed for patients with chronic cardiovascular disease and obesity (P < 0.001).
Conclusions:
- The COVID-19 pandemic's impact on hospitalizations varied significantly across its waves.
- Sociodemographic and clinical factors demonstrably influenced the length of hospital stay for COVID-19 patients.
Abstract:
The pandemic has been characterized by several waves defined by viral strains responsible for the predominance of infections. We aimed to analyze the mean length of hospital stay for patients with COVID-19 during the first three waves of the pandemic and its distribution according to sociodemographic and clinical variables. This retrospective study used the notifications of patients hospitalized for COVID-19 in a Brazilian state during the period of the three waves of the disease as the data source. There were 13,910 hospitalizations for confirmed COVID-19 cases. The first wave was the longest, with 4101 (29.5%) hospitalizations, while the third, although shorter, had a higher number of hospitalized patients (N = 6960). The average length of stay in the hospital in all waves was associated with age groups up to 60 years old., elementary, high school and higher education, residents of the periurban area Regarding the presence of comorbidities, there was a statistically significant difference in the mean number of days of hospitalization among patients with chronic cardiovascular disease and obesity (P < 0.001). In conclusion, the COVID-19 pandemic has been distinctly revealed among the waves.
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