Fu Rui, Zhu Ying-Xuan, Cui Kong-Yong, Yang Jin-Gang, Xu Hai-Yan, Yin Dong, Song Wei-Hua, Wang Hong-Jian, Zhu Cheng-Gang, Feng Lei, Wu Wei, Chen Kai-Hong, Zhao Yan-Yan, Lu Ye, Dou Ke-Fei, Yang Yue-Jin
Cardiometabolic Medicine Center, Fuwai Hospital, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Medical Research & Biometrics Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
J Geriatr Cardiol. 2024 May 28;21(5):523-533. doi: 10.26599/1671-5411.2024.05.008.
To evaluate the predictive value of fasting plasma glucose (FPG) for in-hospital mortality in patients with acute myocardial infarction (AMI) with different glucose metabolism status.
We selected 5,308 participants with AMI from the prospective, nationwide, multicenter CAMI registry, of which 2,081 were diabetic and 3,227 were nondiabetic. Patients were divided into high FPG and low FPG groups according to the optimal cutoff values of FPG to predict in-hospital mortality for diabetic and nondiabetic cohorts, respectively. The primary endpoint was in-hospital mortality.
Overall, 94 diabetic patients (4.5%) and 131 nondiabetic patients (4.1%) died during hospitalization, and the optimal FPG thresholds for predicting in-hospital death of the two cohorts were 13.2 mmol/L and 6.4 mmol/L, respectively. Compared with individuals who had low FPG, those with high FPG were significantly associated with higher in-hospital mortality in diabetic cohort (10.1% . 2.8%; odds ratio [OR] = 3.862, 95% confidence interval [CI]: 2.542-5.869) and nondiabetic cohort (7.4% . 1.7%; HR = 4.542, 95%CI: 3.041-6.782). After adjusting the potential confounders, this significant association was not changed. Furthermore, FPG as a continuous variable was positively associated with in-hospital mortality in single-variable and multivariable models regardless of diabetic status. Adding FPG to the original model showed a significant improvement in C-statistic and net reclassification in diabetic and nondiabetic cohorts.
This large-scale registry indicated that there is a strong positive association between FPG and in-hospital mortality in AMI patients with and without diabetes. FPG might be useful to stratify patients with AMI.
评估空腹血糖(FPG)对不同糖代谢状态的急性心肌梗死(AMI)患者院内死亡的预测价值。
我们从全国前瞻性多中心CAMI注册研究中选取了5308例AMI参与者,其中2081例为糖尿病患者,3227例为非糖尿病患者。根据FPG的最佳截断值,将患者分别分为高FPG组和低FPG组,以预测糖尿病和非糖尿病队列的院内死亡率。主要终点是院内死亡率。
总体而言,94例糖尿病患者(4.5%)和131例非糖尿病患者(4.1%)在住院期间死亡,两个队列预测院内死亡的最佳FPG阈值分别为13.2 mmol/L和6.4 mmol/L。与FPG低的个体相比,FPG高的个体在糖尿病队列(10.1%对2.8%;比值比[OR]=3.862,95%置信区间[CI]:2.542 - 5.869)和非糖尿病队列(7.4%对1.7%;风险比[HR]=4.542,95%CI:3.041 - 6.782)中与更高的院内死亡率显著相关。在调整潜在混杂因素后,这种显著关联未改变。此外,无论糖尿病状态如何,在单变量和多变量模型中,FPG作为连续变量与院内死亡率呈正相关。将FPG添加到原始模型中显示,糖尿病和非糖尿病队列的C统计量和净重新分类有显著改善。
这项大规模注册研究表明,FPG与有或无糖尿病的AMI患者的院内死亡率之间存在强烈的正相关。FPG可能有助于对AMI患者进行分层。