Objective: To analyze the use of antimicrobial drugs in patients during the COVID-19 pandemic.
Methods: We searched for literature about antimicrobial treatment in COVID-19 patients through the Cochrane Library, Embase, PubMed, the Chinese biomedical literature database, CNKI, the Chinese journal full-text database, Wanfang, and Vipu. The quality evaluation of the literature was performed by Jadad's quality score.
Results: A total of three articles reported on ivermectin treatment in patients with COVID-19, and the Meta-analysis showed no clinical and statistical heterogeneity among the studies (I2 = 15%, P = .31), a fixed effect model was used to incorporate effect sizes. The clinical effect of the observed group was not different from the control group (P = .16). None of the three ivermectin articles with clinical effect as the effect indicator showed a significant difference (P > .05), suggesting no publication bias. A total of four publications reported the treatment with azithromycin in patients with COVID-19, and the Meta-analysis showed no clinical and statistical heterogeneity between the studies (I2 = 0%, P = .88), using a fixed-effect model to incorporate the effect sizes. The clinical effect of the observed group was not different from the control group (P = .57). None of the four azithromycin articles with a clinical effect as the effect index was statistically significant (P > .05), suggesting no publication bias.
Conclusion: During the COVID-19 pandemic, the patient's use of antibiotics does not significantly improve clinical efficacy, so antibiotic use is recommended only for patients with complicated bacterial infections.