Hospitalizations for coronavirus disease 2019: an analysis of the occurrence waves.
Juliana Rodrigues Tovar GarbinFranciéle Marabotti Costa LeiteCristiano Soares Silva Dell'AntonioLarissa Soares Dell'AntonioAna Paula Brioschi Dos SantosLuis Carlos Lopes-JuniorPublished in: Scientific reports (2024)
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.
Keyphrases
- coronavirus disease
- sars cov
- cardiovascular disease
- respiratory syndrome coronavirus
- healthcare
- end stage renal disease
- type diabetes
- escherichia coli
- ejection fraction
- newly diagnosed
- chronic kidney disease
- insulin resistance
- metabolic syndrome
- peritoneal dialysis
- weight loss
- emergency department
- single cell
- acute care
- machine learning
- big data
- cardiovascular risk factors
- patient reported
- high fat diet induced