Preadmission use of antidiabetic medications and mortality among patients with COVID-19 having type 2 diabetes: A meta-analysis
Nam Nhat Nguyen, Dung Si Ho, Hung Song Nguyen, Dang Khanh Ngan Ho, Hung-Yuan Li, Chia-Yuan Lin, Hsiao-Yean Chiu, Yang-Ching Chen
Metabolism, doi:10.1016/j.metabol.2022.155196
Background: Diabetes is an independent predictor of poor outcomes in patients with COVID-19. We compared the effects of the preadmission use of antidiabetic medications on the in-hospital mortality of patients with COVID-19 having type 2 diabetes. Methods: A systematic search of PubMed, EMBASE, Scopus and Web of Science databases was performed to include studies (except case reports and review articles) published until November 30, 2021. We excluded papers regarding in-hospital use of antidiabetic medications. We used a random-effects meta-analysis to calculate the pooled OR (95% CI) and performed a sensitivity analysis to confirm the robustness of the meta-analyses. Main findings: We included 61 studies (3,061,584 individuals), which were rated as having low risk of bias. The OR (95% CI) indicated some medications protective against COVID-related death, including metformin [0.54 (0.47-0.62), I 2 86%], glucagon-like peptide-1 receptor agonist (GLP-1RA) [0.51 (0.37-0.69), I 2 85%], and sodium-glucose transporter-2 inhibitor (SGLT-2i) [0.60 (0.40-0.88), I 2 91%]. Dipeptidyl peptidase-4 inhibitor , I 2 82%] and insulin [1.70 (1.33-2.19), I 2 97%] users were more likely to die during hospitalization. Sulfonylurea, thiazolidinedione, and alpha-glucosidase inhibitor were mortality neutral [0.92 (95% CI 0.83-1.01, I 2 44%), 0.90 (95% CI 0.71-1.14, I 2 46%), and 0.61 (95% CI 0.26-1.45, I 2 77%), respectively]. The sensitivity analysis indicated that our findings were robust. Conclusions: Metformin, GLP-1RA, and SGLT-2i were associated with lower mortality rate in patients with COVID-19 having type 2 diabetes. DPP-4i and insulin were linked to increased mortality. Sulfonylurea, thiazolidinedione, and alpha-glucosidase inhibitors were mortality neutral. These findings can have a large impact on the clinicians' decisions amid the COVID-19 pandemic.
Decreased Han et al. [5] Preadmission + in-hospital 20 0.62 (0.50-0.76) Decreased Hariyanto et al. [74] Preadmission 5 0.54 (0.32-0.90) Decreased Kan et al. [75] Preadmission + in-hospital 15 0.69 (0.55-0.86) Decreased Kow et al. [76] Preadmission 5 0.62 (0.43-0.89) Decreased Li et al. [77] Preadmission + in-hospital 19 0.66 (0.56-0.78) Decreased Lukito et al. [78] Preadmission 6 0.64 (0.43-0.97) Decreased Oscanoa et al. [79] Preadmission + in-hospital 22 0.56 (0.45-0.68) Decreased Poly et al. [82] Preadmission + in-hospital 16 0.66 (0.54-0.
CRediT authorship contribution statement NNN conceived of the original idea, performed meta-analyses, metaregression, sensitivity analyses, interpreted data, and wrote the first manuscript. DSH, HSN, and DKNH performed the systematic search, study selection, risk of bias assessment, and data extraction. HYC and YCC verified the analytical methods, supervised the findings of this work, and contributed to the revisions of the final manuscript. HYL and CYL provided clinical advice on the interpretation of the data and contributed to the revisions of the final manuscript. All authors approved the final manuscript as submitted and have agreed to be accountable for all aspects of the work. YCC is the guarantor of this work.
Declaration of competing interest The authors have no conflicts of interest relevant to this article to disclose. All authors declare that there are no relationships or activities that might bias, or be..
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