Lewandowski Łukasz, Bronowicka-Szydełko Agnieszka, Rabczyński Maciej, Bednarska-Chabowska Dorota, Adamiec-Mroczek Joanna, Doroszko Adrian, Trocha Małgorzata, Kujawa Krzysztof, Matera-Witkiewicz Agnieszka, Kuźnik Edwin, Lubieniecki Paweł, Madziarski Marcin, Sokołowski Janusz, Jankowska Ewa A, Madziarska Katarzyna
Department of Biochemistry and Immunochemistry, Wroclaw Medical University, Chałubińskiego Street 10, 50-368 Wroclaw, Poland.
Clinical Department of Diabetology and Internal Disease, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, Poland.
Biomedicines. 2024 Mar 7;12(3):605. doi: 10.3390/biomedicines12030605.
Due to the molecular mechanisms of action of antidiabetic drugs, they are considered to be effective in the treatment of both COVID-19 and the post-COVID-19 syndromes. The aim of this study was to determine the effect of administering insulin and metformin on the mortality of patients with type 2 diabetes (T2DM) with symptomatic COVID-19 with the use of logistic regression models. The association between death and insulin and metformin was weak and could not be included in the multivariate model. However, the interaction of both drugs with other factors, including remdesivir and low-molecular-weight heparin (metformin), age and hsCRP (insulin), modulated the odds of death. These interactions hint at multifaceted (anti-/pro-) associations of both insulin and metformin with the odds of death, depending on the patient's characteristics. In the multivariate model, RDW-SD, adjusted with low-molecular-weight heparin treatment, age, sex and K, was associated with mortality among patients with COVID-19 and T2DM. With a 15% increase in RDW-SD, the risk of death increased by 87.7%. This preliminary study provides the foundations for developing further, more personalized models to assess the risk of death in T2DM patients, as well as for identifying patients at an increased risk of death due to COVID-19.
由于抗糖尿病药物的分子作用机制,它们被认为在治疗新冠肺炎及新冠后综合征方面均有效。本研究的目的是利用逻辑回归模型确定给予胰岛素和二甲双胍对有症状的新冠肺炎2型糖尿病(T2DM)患者死亡率的影响。死亡与胰岛素和二甲双胍之间的关联较弱,无法纳入多变量模型。然而,这两种药物与其他因素(包括瑞德西韦和低分子量肝素(二甲双胍)、年龄和超敏C反应蛋白(胰岛素))的相互作用,调节了死亡几率。这些相互作用暗示了胰岛素和二甲双胍与死亡几率存在多方面的(抗/促)关联,这取决于患者的特征。在多变量模型中,经低分子量肝素治疗、年龄、性别和钾校正后的红细胞分布宽度标准差(RDW-SD)与新冠肺炎合并T2DM患者的死亡率相关。RDW-SD增加15%,死亡风险增加87.7%。这项初步研究为进一步开发更个性化的模型以评估T2DM患者的死亡风险,以及识别因新冠肺炎导致死亡风险增加的患者奠定了基础。