Insights from a multicenter nationwide cohort analysis in Japan on the association of underlying conditions and pharmacological interventions with COVID-19 disease severity

In 2019, coronavirus disease 2019 (COVID-19) emerged in China, spreading globally with significant impacts in Japan, including the Delta and Omicron variants. The research identified risk factors such as age, chronic diseases, and lifestyle choices, emphasizing the need for further study on the association between underlying health conditions, treatments, and COVID-19 severity in Japan.

This study used a nationwide medical database to analyze the association between COVID-19 underlying conditions and pharmacological interventions to identify risk factors for disease severity. We examined the Japanese COVID-19 dataset from Medical Data Vision, selecting patients diagnosed with COVID-19 between January 2020 and December 2022. Logistic regression was used to calculate the odds ratios (ORs) for intensive care unit treatment- or ventilator use-related risk factors.

Among 650,317 patients (mean age: 52.1 ± 20.9 years; male individuals: 324,127; female individuals: 326,190), factors that significantly increased the severe disease risk (OR [95% confidence interval]) included age > 65 years (1.31 [1.27–1.36]), hypertension (1.34 [1.28–1.41]), cardiovascular disease (1.74 [1.67–1.81]), and use of beta-blockers (2.09 [2.00–2.17]), calcium blockers (1.97 [1.89–2.06]), angiotensin-converting enzyme inhibitors (1.41 [1.33–1.49]), low-dose aspirin (1.38 [1.32–1.45]), and insulin (7.14 [6.87–7.43]). Conversely, factors that reduced the severe disease risk included female sex and the use of sulfonylureas, dipeptidyl peptidase 4 inhibitors, glucagon-like peptide-1 receptor agonists, and alpha-glucosidase inhibitors.

Patients using cardiovascular medications faced a higher risk, whereas those receiving diabetes treatment had a lower risk. Appropriate pharmacotherapy and risk factor identification can aid in the prevention of severe COVID-19.