炎症指标及其与术后谵妄的关系

Gabrielle E Mintz, Edward R Marcantonio, Jeremy D Walston, Simon T Dillon, Yoojin Jung, Shrunjal Trivedi, Xuesong Gu, Tamara G Fong, Michele Cavallari, Alexandra Touroutoglou, Bradford C Dickerson, Richard N Jones, Mouhsin M Shafi, Alvaro Pascual-Leone, Thomas G Travison, Sharon K Inouye, Towia A Libermann, Long H Ngo, Sarinnapha M Vasunilashorn
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引用次数: 0

摘要

背景:尽管人们对谵妄的发病机制知之甚少,但越来越多的证据表明炎症在其中发挥了作用。以前,个别炎症生物标志物与谵妄有关。在预测某些健康结果(如死亡率)时,将生物标志物汇总成一个指数可能会比单个生物标志物提供更多的信息;然而,尚未对谵妄中的炎症指数进行研究:对 548 名 70 岁以上接受非心脏大手术的成人(平均年龄 76.7 [标准差 5.2],58% 为女性,24% 有谵妄)进行了术前(PREOP)和术后第 2 天(POD2)的四项炎症指标测量,包括 C 反应蛋白、白细胞介素-6、可溶性肿瘤坏死因子 Alpha 受体-1 和几丁质酶-3 类蛋白-1 (CHI3L1)。根据这些标记物,考虑了四种炎症指数:1)四分位汇总得分;2)加权汇总得分(WSS);3)主成分得分;4)与死亡率相关的成熟炎症(LASSO 衍生)指数。谵妄采用意识模糊评估法(CAM)进行评估,并辅以病历审查。使用带有对数链接项的广义线性模型(GLM)来确定每种炎症指数与谵妄发生率之间的关系:在各种炎症指数中,WSS 与谵妄的关系最为密切:经临床变量调整后,WSS 四分位数 (Q)4 的参与者与 Q1 的参与者相比,谵妄风险更高(相对风险 [RR],95% 置信区间 [CI],PREOP:3.07,1.80-5.22;POD2:2.65,1.63-4.30)。WSS与谵妄的相关性强于最强的单个炎症标志物(PREOP CHI3L1 [RR 2.45, 95% CI 1.53-3.92];POD2白细胞介素-6 [RR 2.39, 95% CI 1.50-3.82]):使用 WSS 的多蛋白炎症指数与单个炎症标志物相比,在与谵妄的关联性方面略胜一筹。
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Inflammatory Indices and Their Associations with Postoperative Delirium.

Background: Although the pathogenesis of delirium is poorly understood, increasing evidence supports a role for inflammation. Previously, individual inflammatory biomarkers have been associated with delirium. Aggregating biomarkers into an index may provide more information than individual biomarkers in predicting certain health outcomes (e.g., mortality); however, inflammatory indices have not yet been examined in delirium.

Methods: Four inflammatory markers, C-reactive protein, Interleukin-6, Soluble Tumor Necrosis Factor Alpha Receptor-1, and Chitinase-3 Like Protein-1 (CHI3L1), were measured preoperatively (PREOP) and on postoperative day 2 (POD2) in 548 adults aged 70+ undergoing major noncardiac surgery (mean age 76.7 [standard deviation 5.2], 58% female, 24% delirium). From these markers, four inflammatory indices were considered: 1) quartile summary score, 2) weighted summary score (WSS), 3) principal component score, 4) a well-established inflammatory (LASSO-derived) index associated with mortality. Delirium was assessed using the Confusion Assessment Method (CAM), supplemented by chart review. Generalized linear models (GLM) with a log-link term were used to determine the association between each inflammatory index and delirium incidence.

Results: Among the inflammatory indices, WSS demonstrated the strongest association with delirium: participants in WSS quartile (Q)4 had a higher risk of delirium vs. participants in Q1, after clinical variable adjustment (relative risk [RR], 95% confidence interval [CI] for PREOP: 3.07, 1.80-5.22; and POD2: 2.65, 1.63-4.30). WSS was more strongly associated with delirium than the strongest associated individual inflammatory marker (PREOP CHI3L1 [RR 2.45, 95% CI 1.53-3.92]; POD2 interleukin-6 [RR 2.39, 95% CI 1.50-3.82]).

Conclusions: A multi-protein inflammatory index using WSS provides a slight advantage over individual inflammatory markers in their association with delirium.

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