Ulambayar Battamir, Ghanem Amr Sayed, Nagy Attila Csaba
Department of Health Informatics, Faculty of Health Sciences, University of Debrecen, 4032 Debrecen, Hungary.
Coordinating Centre for Epidemiology, University of Debrecen Clinical Centre, 4032 Debrecen, Hungary.
Geriatrics (Basel). 2025 Aug 7;10(4):108. doi: 10.3390/geriatrics10040108.
Type 2 diabetes mellitus (T2DM) increases sepsis risk due to immune dysfunction and chronic inflammation. Antidiabetic medications, while primarily used for glycemic control, may modulate sepsis susceptibility through immune and inflammatory pathways. This study investigates the association between antidiabetic medication use and sepsis risk in T2DM patients. A longitudinal cohort study was conducted using clinical registry data from 5009 T2DM patients at the University Hospital, Debrecen, Hungary (2016-2020). Sepsis cases were identified via ICD-10 code A41, and antidiabetic medication use was categorized using ATC codes. Baseline comorbidities and laboratory parameters were extracted. Chi-square and Wilcoxon rank-sum tests assessed associations between sepsis and categorical/numerical variables, respectively. Time-adjusted multivariate logistic regression evaluated predictors of sepsis risk, with odds ratios (ORs) and 95% confidence intervals (CIs) reported. Age, hypertension, ischemic heart disease, nephropathy, elevated blood glucose, C-reactive protein, and creatinine also independently increased sepsis risk. Insulin use was associated with a 2.6-fold increased sepsis risk (OR = 2.6, 95% CI: 2.09-3.34, < 0.001), while SGLT2 inhibitors (OR = 0.56, 95% CI: 0.34-0.91, = 0.02) and GLP-1 receptor agonists (OR = 0.39, 95% CI: 0.19-0.79, = 0.009) were protective. Insulin-treated patients may require closer infection monitoring, while SGLT2 inhibitors and GLP-1 RAs could be prioritized in high-risk individuals. These findings highlight the potential to inform risk stratification and guide personalized antidiabetic therapy to reduce sepsis risk in T2DM.
2型糖尿病(T2DM)由于免疫功能障碍和慢性炎症而增加了脓毒症风险。抗糖尿病药物虽然主要用于控制血糖,但可能通过免疫和炎症途径调节脓毒症易感性。本研究调查了T2DM患者使用抗糖尿病药物与脓毒症风险之间的关联。利用匈牙利德布勒森大学医院5009例T2DM患者的临床登记数据(2016 - 2020年)进行了一项纵向队列研究。通过ICD - 10编码A41识别脓毒症病例,并使用ATC编码对抗糖尿病药物的使用进行分类。提取基线合并症和实验室参数。卡方检验和Wilcoxon秩和检验分别评估脓毒症与分类/数值变量之间的关联。时间调整的多变量逻辑回归评估脓毒症风险的预测因素,并报告比值比(OR)和95%置信区间(CI)。年龄、高血压、缺血性心脏病、肾病、血糖升高、C反应蛋白和肌酐也独立增加脓毒症风险。使用胰岛素与脓毒症风险增加2.6倍相关(OR = 2.6,95% CI:2.09 - 3.34,<0.001),而钠 - 葡萄糖协同转运蛋白2(SGLT2)抑制剂(OR = 0.56,95% CI:0.34 - 0.91,P = 0.02)和胰高血糖素样肽 - 1(GLP - 1)受体激动剂(OR = 0.39,95% CI:0.19 - 0.79,P = 0.009)具有保护作用。接受胰岛素治疗的患者可能需要更密切的感染监测,而SGLT2抑制剂和GLP - 1受体激动剂可在高危个体中优先使用。这些发现凸显了为风险分层提供信息并指导个性化抗糖尿病治疗以降低T2DM患者脓毒症风险的潜力。