RESUMO
Purpose: The aim of the study is to evaluate the effect of metformin in complication improvement of hospitalized patients with COVID-19. Methods: This was a randomized clinical trial that involved 189 patients with confirmed COVID-19 infection. Patients in the intervention group received metformin-500 mg twice daily. Patients who received metformin before admission were excluded from the control group. Patients who were discharged before taking at least 2000 mg of metformin were excluded from the study. Primary outcomes were vital signs, need for ICU admission, need for intubation, and mortality. Results: Data showed that patients with diabetes with previous metformin in their regimen had lower percentages of ICU admission and death in comparison with patients without diabetes (11.3% vs. 26.1% (P=0.014) and 4.9% vs. 23.9% (P≤0.001), respectively). Admission time characteristics were the same for both groups except for diabetes and hyperlipidemia, which were significantly different between the two groups. Observations of naproxen consumption on endpoints, duration of hospitalization, and the levels of spO2 did not show any significant differences between the intervention and the control group. The adjusted OR for intubation in the intervention group versus the control group was 0.21 [95% CI, 0.04-0.99 (P=0.047)]. Conclusion: In this trial, metformin consumption had no effect on mortality and ICU admission rates in non-diabetic patients. However, metformin improved COVID-19 complications in diabetic patients who had been receiving metformin prior to COVID-19 infection, and it significantly lowered the intubation rates.
RESUMO
Drug-drug interaction (DDI) occurs when the pharmacological effect of a drug is altered due to concomitant administration with other drugs. DDIs still remain a serious issue; thus, we conducted this retrospective study to evaluate DDIs prevalence in our care center. Methods: All admitted patients with any kind of malignancies that received at least two medications from oncology and non-oncology classifications during six months were enrolled in this study. All relevant data including, patients' demographic information, diagnosis, hospitalization duration, and all administered medication during hospitalization were recorded. The DDI was assessed by using the latest version of Lexi-interact. Results: Each patient received a mean number of 11.6±4.7 medications. The number of non-oncology drugs demonstrated a remarkable correlation with the number of interactions (P<0.001). Whereas, the number of oncology drugs does not have any relation with the number of interactions (P=0.64). Among the 763 detected DDIs during this study, the incidence of major, moderate and minor interactions were 31.2%, 61.4%, and 7.3%, respectively. Conclusion: Our results highlighted the clinical significance of DDIs, considering that 104 (92%) patients had at least one DDI. The main reason that could have potentially contributed to this outcome is the complicated nature of cancer treatment and clinical management. We believe that using computer software to collect all prescribed and OTC collaboration of clinical pharmacists with oncologists can reduce the potential interactions prior to drug administration.