Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, 518000, Guangdong Province, China.
Department of Clinical Medicine, Shantou University Medical College, Shantou, 515000, Guangdong Province, China.
Lipids Health Dis. 2021 Jun 15;20(1):59. doi: 10.1186/s12944-021-01485-x.
Previous studies have demonstrated that nonalcoholic fatty liver disease (NAFLD) is a significant risk factor for diabetes mellitus (DM). However, these studies did not completely determine the relationship between NAFLD and DM due to unbalanced confounding factors. The propensity score (PS) is the conditional probability of having a particular exposure, given a set of baseline measured covariates. Propensity score matching (PSM) analysis could minimise the effects of potential confounders. Thus, this study aimed to use PSM analysis to explore the association between NAFLD and DM in a large Japanese cohort.
This retrospective PSM cohort study was performed on 14,280 Japanese participants without DM at baseline in Murakami Memorial Hospital between 2004 and 2015. The independent variable was NAFLD at baseline, and the outcome was the incidence of DM during follow-up. One-to-one PSM revealed 1671 participants with and without NAFLD. A doubly robust estimation method was applied to verify the correlation between NAFLD and DM.
The risk of developing DM in participants with NAFLD increased by 98% according to the PSM analysis (HR = 1.98, 95% confidence interval [CI]: 1.41-2.80, P < 0.0001). The risk of developing DM in the NAFLD participants was 2.33 times that of the non-NAFLD participants in the PSM cohort after adjusting for the demographic and laboratory biochemical variables (HR = 2.33, 95% CI: 1.63-3.32, P < 0.0001). The participants with NAFLD had a 95% increased risk of DM after adjusting for PS (HR = 1.95, 95% CI: 1.39-2.75, P = 0.0001). All potential confounding variables were not significantly associated with NAFLD and DM after PSM in the subgroup analysis. In the sensitivity analysis, the participants with NAFLD had a 2.17-fold higher risk of developing DM in the original cohort (HR = 2.17, 95% CI: 1.63-2.88, P < 0.0001) and were 2.27-fold more likely to develop DM in the weighted cohort (HR = 2.27, 95% CI: 1.91-2.69, P < 0.00001).
NAFLD was an independent risk factor for the development of DM. The risk of developing DM in the NAFLD participants was 2.33 times that of the non-NAFLD participants in the PSM cohort after adjusting for the demographic and laboratory biochemical variables. The participants with NAFLD had a 95% increased risk of DM after adjusting for PS.
先前的研究表明,非酒精性脂肪性肝病(NAFLD)是糖尿病(DM)的重要危险因素。然而,由于混杂因素不平衡,这些研究并未完全确定 NAFLD 和 DM 之间的关系。倾向评分(PS)是给定一组基线测量协变量时发生特定暴露的条件概率。倾向评分匹配(PSM)分析可以最小化潜在混杂因素的影响。因此,本研究旨在使用 PSM 分析探讨日本大型队列中 NAFLD 和 DM 之间的关联。
这是一项在 2004 年至 2015 年期间在村上纪念医院进行的、基于人群的、回顾性 PSM 队列研究,纳入了 14280 名基线时无 DM 的日本参与者。基线时的自变量为 NAFLD,随访期间的结局为 DM 的发病率。通过 1:1 的 PSM 显示出 1671 名有和无 NAFLD 的参与者。采用双重稳健估计方法验证 NAFLD 和 DM 之间的相关性。
根据 PSM 分析,NAFLD 患者发生 DM 的风险增加了 98%(HR=1.98,95%置信区间[CI]:1.41-2.80,P<0.0001)。在调整人口统计学和实验室生化变量后,NAFLD 患者发生 DM 的风险是非 NAFLD 患者的 2.33 倍(HR=2.33,95%CI:1.63-3.32,P<0.0001)。在调整 PS 后,NAFLD 患者发生 DM 的风险增加了 95%(HR=1.95,95%CI:1.39-2.75,P=0.0001)。在亚组分析中,所有潜在的混杂变量在 PSM 后与 NAFLD 和 DM 均无显著相关性。在敏感性分析中,原始队列中,NAFLD 患者发生 DM 的风险增加了 2.17 倍(HR=2.17,95%CI:1.63-2.88,P<0.0001),加权队列中发生 DM 的风险增加了 2.27 倍(HR=2.27,95%CI:1.91-2.69,P<0.00001)。
NAFLD 是 DM 发生的独立危险因素。在调整人口统计学和实验室生化变量后,PSM 队列中,NAFLD 患者发生 DM 的风险是非 NAFLD 患者的 2.33 倍。在调整 PS 后,NAFLD 患者发生 DM 的风险增加了 95%。