Department of Neonatology, Lianyungang Maternal and Child Health Care Hospital, Lianyungang, China.
Department of Emergency Surgery, The Second People's Hospital of Lianyungang, Lianyungang, China.
Medicine (Baltimore). 2024 Sep 27;103(39):e39833. doi: 10.1097/MD.0000000000039833.
According to clinical evidence, type 2 diabetes mellitus (T2D) and osteomyelitis (OM) are currently the 2 major causes of mortality and morbidity in humans. Despite accounts of their coexistence, there is still no understanding of their fundamental connection. We attempted to assess the causal effect of T2D on OM using the two-sample Mendelian randomization method. The whole gene-wide association study's aggregate data were examined. Single-nucleotide polymorphisms, which have a substantial correlation with T2D, were used as instrumental variables in a two-sample Mendelian randomization (MR) analysis to assess the causal relationship between T2D and OM risk using the inverse variance weighting, MR-egger regression, and weighted median approaches, respectively. A total of 114 single-nucleotide polymorphism were used as instrumental variables in this analysis. The inverse variance-weighted analysis showed a significant causal relationship between T2D and OM, indicating that T2D has a detrimental effect on OM risk. The odds ratio for the causal effect of T2D on OM was 1.317, with a 95% confidence interval of (1.140, 1.522) (P < .001). To assess heterogeneity, Cochran Q test statistics and MR-Egger regression were applied in the inverse variance-weighted technique. The P-value of .737 indicated a considerable level of heterogeneity was not absent in the data. This study used Mendelian randomization analysis to establish a causal relationship between T2D and OM. The findings suggest that T2D may increase the risk of OM.
根据临床证据,2 型糖尿病(T2D)和骨髓炎(OM)是目前人类死亡率和发病率的两个主要原因。尽管有它们共存的报道,但对它们的根本联系仍不了解。我们试图使用两样本 Mendelian 随机化方法评估 T2D 对 OM 的因果效应。检查了全基因关联研究的汇总数据。使用与 T2D 有很大相关性的单核苷酸多态性作为工具变量,在两样本 Mendelian 随机化(MR)分析中,分别使用逆方差加权、MR-egger 回归和加权中位数方法评估 T2D 和 OM 风险之间的因果关系。这项分析共使用了 114 个单核苷酸多态性作为工具变量。逆方差加权分析表明 T2D 和 OM 之间存在显著的因果关系,表明 T2D 对 OM 风险有不利影响。T2D 对 OM 的因果作用的比值比为 1.317,95%置信区间为(1.140,1.522)(P < 0.001)。为了评估异质性, Cochran Q 检验统计量和 MR-Egger 回归应用于逆方差加权技术。P 值为.737 表明数据中不存在显著的异质性。本研究使用 Mendelian 随机化分析建立了 T2D 和 OM 之间的因果关系。研究结果表明,T2D 可能会增加 OM 的风险。