炎症生物标志物与 2 型糖尿病患者死亡率的关系:NHANES 2005-2018。
Association between inflammatory biomarkers and mortality in individuals with type 2 diabetes: NHANES 2005-2018.
机构信息
Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
Department of Child and Adolescent Health, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
出版信息
Diabetes Res Clin Pract. 2024 Mar;209:111575. doi: 10.1016/j.diabres.2024.111575. Epub 2024 Feb 10.
PURPOSE
This study aimed to examine independent association between inflammatory biomarkers and all-cause mortality as well as cardio-cerebrovascular disease (CCD) mortality among U.S. adults with diabetes.
METHODS
A cohort of 6412 U.S. adults aged 20 or older was followed from the start until December 31, 2019. Statistical models such as Cox proportional hazards model (Cox) and Kaplan-Meier (K-M) survival curves were employed to investigate the associations between the inflammatory biomarkers and all-cause mortality and CCD mortality.
RESULTS
After adjusting for confounding factors, the highest quartile of inflammatory biomarkers (NLR HR = 1.99; 95 % CI:1.54-2.57, MLR HR = 1.93; 95 % CI:1.46-2.54, SII HR = 1.49; 95 % CI:1.18-1.87, SIRI HR = 2.32; 95 % CI:1.81-2.96, nLPR HR = 2.05; 95 % CI:1.61-2.60, dNLR HR = 1.94; 95 % CI:1.51-2.49, AISI HR = 1.73; 95 % CI:1.4 1-2.12)) were positively associated with all-cause mortality compared to those in the lowest quartile. K-M survival curves indicated that participants with an inflammatory biomarker above a certain threshold had a higher risk of both all-cause mortality and CCD mortality (Log rank P < 0.05).
CONCLUSION
Some biomarkers such as NLR, MLR, SII, AISI, SIRI, and dNLR, are significantly associated with all-cause mortality and CCD mortality among U.S. adults with diabetes. The risk of both outcomes increased when the biomarkers surpassed a specific threshold.
目的
本研究旨在检验美国糖尿病患者中炎症生物标志物与全因死亡率以及心脑血管疾病(CCD)死亡率之间的独立关联。
方法
对 6412 名年龄在 20 岁及以上的美国成年人进行了队列研究,随访时间从研究开始至 2019 年 12 月 31 日。采用 Cox 比例风险模型(Cox)和 Kaplan-Meier(K-M)生存曲线等统计模型,探讨炎症生物标志物与全因死亡率和 CCD 死亡率之间的关系。
结果
在调整混杂因素后,炎症生物标志物最高四分位数(NLR HR=1.99;95%CI:1.54-2.57,MLR HR=1.93;95%CI:1.46-2.54,SII HR=1.49;95%CI:1.18-1.87,SIRI HR=2.32;95%CI:1.81-2.96,nLPR HR=2.05;95%CI:1.61-2.60,dNLR HR=1.94;95%CI:1.51-2.49,AISI HR=1.73;95%CI:1.41-2.12)与全因死亡率呈正相关,与最低四分位数相比。K-M 生存曲线表明,炎症生物标志物超过一定阈值的患者全因死亡率和 CCD 死亡率均较高(对数秩 P<0.05)。
结论
某些生物标志物(如 NLR、MLR、SII、AISI、SIRI 和 dNLR)与美国糖尿病患者的全因死亡率和 CCD 死亡率显著相关。当生物标志物超过特定阈值时,两种结局的风险均增加。