RESUMO
PURPOSE: Prolonged shedding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been observed in immunocompromised hosts. Early monotherapy with direct-acting antivirals or monoclonal antibodies, as recommended by the international guidelines, does not prevent this with certainty. Dual therapies may therefore have a synergistic effect. METHODS: This retrospective, multicentre study compared treatment strategies for corona virus disease-19 (COVID-19) with combinations of nirmatrelvir/ritonavir, remdesivir, molnupiravir, and/ or mABs during the Omicron surge. Co-primary endpoints were prolonged viral shedding (≥ 106 copies/ml at day 21 after treatment initiation) and days with SARS-CoV-2 viral load ≥ 106 copies/ml. Therapeutic strategies and risk groups were compared using odds ratios and Fisher's tests or Kaplan-Meier analysis and long-rank tests. Multivariable regression analysis was performed. RESULTS: 144 patients were included with a median duration of SARS-CoV-2 viral load ≥ 106 copies/ml of 8.0 days (IQR 6.0-15.3). Underlying haematological malignancies (HM) (p = 0.03) and treatment initiation later than five days after diagnosis (p < 0.01) were significantly associated with longer viral shedding. Prolonged viral shedding was observed in 14.6% (n = 21/144), particularly in patients with underlying HM (OR 3.5; 95% CI 1.2-9.9; p = 0.02). Clinical courses of COVID-19 were mild to moderate with only few adverse effects potentially related to combination treatment. CONCLUSION: Early combination treatment of COVID-19 effectively prevented prolonged viral shedding in 85.6% of cases. Considering the rapid viral clearance rates and low toxicity, individualized dual therapy approaches may be beneficial in high-risk patients.
RESUMO
Oral squamous cell carcinoma (OSCC), a common cancer of the head and neck, is a major public health problem. The length of stay in hospital (LOS) of patients with OSCC, which can range from a few days to several months, has implications for the patient's recovery. The aim of the study was to identify and evaluate risk factors that have an impact on the prolongation of inpatient hospital stay. A four-year retrospective study reviewed hospital records of 153 inpatients with OSCC. A statistical model for discrete time-to-event data, with the LOS in hospital measured in days for which the event of interest was discharge from hospital, was applied. The model utilises a tree-building algorithm to identify relevant risk factors for a prolonged LOS. Age, type of flap, and occurrence of complications turned out to be relevant variables. Before, and on day 12, the LOS was mainly dependent on flap type and age, whereas after day 12 it was influenced by the presence of early complications. Predicting the likelihood of discharge can improve the management and resource utilisation of the healthcare system among inpatients.