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BACKGROUND: Reports of a decrease in hospital admissions during the coronavirus disease 2019 (COVID-19) lockdown period have raised concerns about delayed or missed diagnoses and treatments for non-COVID-19-related illnesses. AIM: To investigate the impact of the COVID-19 pandemic-induced lockdown and its end on hospital admissions of patients with epistaxis in Germany. METHODS: A retrospective analysis based on the national database of the Hospital Remuneration System was used to compare hospital admissions during defined time periods between 2019 and 2022 with the lockdown period as the reference period. This was done on a weekly basis before, during, and after the lockdown. An Interrupted Time Series was used as the analysis method. RESULTS: In our analysis, we included 26183 patients. The implementation of the lockdown led to a substantial reduction in the overall occurrence of epistaxis among patients (P < 0.05). This effect was most pronounced in the age group of 0-39 years, where the decrease was highly significant (P < 0.001). However, there was no change observed in patients aged 80 years and older (not significant). With the end of the lockdown period, the overall number of patients, especially in the youngest age group, increased abruptly and significantly (P < 0.01). CONCLUSION: During the lockdown period, there was a decrease in hospital admissions for younger patients with epistaxis, possibly due to the fear of COVID-19 exposure. We also conclude that the severity of epistaxis was not underestimated in the elderly during the pandemic.
RESUMO
Patients with impaired renal function are at high risk for morbidity and mortality. Chronic kidney disease (CKD) even in the early stages can be associated with significant side effects of drug therapy, longer length of stay, and high costs. Correct assessment of renal function in the hospital is important to detect CKD, to avoid further damage to the kidneys, and to optimize pharmacological therapy. Current protocols for renal function testing in drug dosing are only creatinine based, are not robust enough, and can wrongly classify certain patients. Goal of our simulation study is to optimize noninvasive renal function estimates and to allow for optimal dosing of pharmacological treatment without further renal damage. Co-reporting of creatinine- and of cystatin C-derived estimated glomerular filtration rates (eGFR) allows a personalized approach for patients with large discrepancies in eGFR and it enabled us in detecting patients at high risk for side effects due to incorrect drug dosing. This approach might be highly effective for patients as well as for clinicians. In addition, we simulated the efficiency by estimating savings for the hospital administration and the payor with a benefit cost ratio of 58 to 1.