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与术中最低肺泡浓度比值相关的临床和遗传因素:一项单中心回顾性队列研究和全基因组关联研究

Clinical and Genetic Factors Associated with Intraoperative Minimum Alveolar Concentration Ratio: A Single-center Retrospective Cohort and Genome-wide Association Study.

作者信息

Douville Nicholas J, Jewell Elizabeth S, Zhao Xinyi, Colquhoun Douglas A, Bertucci-Richter Emily, Zöllner Sebastian, Davis Ryan P, Kumar Sathish S, Mashour George A

机构信息

Department of Anesthesiology, University of Michigan Medicine School, Michigan Medicine, Ann Arbor, Michigan; Institute of Healthcare Policy & Innovation, and Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan.

Department of Anesthesiology, University of Michigan Medicine School, Michigan Medicine, Ann Arbor, Michigan.

出版信息

Anesthesiology. 2025 Jul 21. doi: 10.1097/ALN.0000000000005602.

Abstract

BACKGROUND

Minimum alveolar concentration (MAC) is a standard dosing metric for general anesthesia. Although influences of MAC have been identified in controlled studies, the determinants of clinical delivery of MAC ratio are largely unknown. To address this knowledge gap, the authors performed this single-center retrospective study. The primary objective was to understand factors associated with MAC ratio, as indexed by the end-tidal volatile anesthetic concentration, for a given case. It was hypothesized that mean arterial pressure (MAP) was strongly associated with anesthetic delivery; a secondary objective was to perform a genome-wide association study to identify genetic variants associated with MAC ratio in clinical practice.

METHODS

The primary outcome was mean age-adjusted MAC ratio during the maintenance phase of anesthesia. The primary exposure variable was mean MAP during the same time window. The correlation between the outcome, exposure, and a variety of demographic, laboratory, procedural, and anesthetic covariates was assessed in adjusted multivariable linear regressions. Next, the authors performed two genome-wide association studies of clinically delivered MAC ratio.

RESULTS

Of the 30,125 cases included in the final dataset, mean ± SD age-adjusted MAC ratio was 1.066 ± 0.173, and mean MAP was 82 ± 10 mmHg. MAP was associated with MAC ratio in the overall model (β = 0.0028; 95% CI, 0.0024 to 0.0032; P < 0.0001). A variety of demographic ( e.g. , female sex: β = -0.0182; 95% CI, -0.0219 to -0.0144; P < 0.0001), laboratory, surgical, and anesthetic factors were also associated with anesthetic agent concentration. Eight variants located near six genes ( DPH6 , CPM , EEFSEC , SGSM1 , CDH9 , and DISC1 ) reached the lower suggestive threshold ( P < 1 × 10 -6 ) in one but not both models; none exceed the threshold for genome-wide significance ( P < 5 × 10 -8 ).

CONCLUSIONS

The hypothesis was verified that MAP was associated with clinical delivery of MAC ratio. The authors also characterized practice patterns of inhalational anesthetic management and identified numerous covariates that need to be accounted for when modeling anesthetic requirements. Female patients received lower doses of anesthetic, despite evidence that they have a higher requirement. While genome-wide association studies failed to identify novel variants at the level of genome-wide significance ( P < 5 × 10 -8 ), multiple mechanistically plausible genes were suggested. Notably, the DISC1 gene has been shown to impact resting-state brain activations under general anesthesia with isoflurane and has been linked to abnormal sleep/wake patterns.

摘要

背景

最低肺泡有效浓度(MAC)是全身麻醉的标准给药指标。尽管在对照研究中已确定了MAC的影响因素,但MAC比值临床给药的决定因素在很大程度上尚不清楚。为填补这一知识空白,作者进行了这项单中心回顾性研究。主要目的是了解与给定病例中MAC比值相关的因素,以呼气末挥发性麻醉药浓度为指标。假设平均动脉压(MAP)与麻醉药给药密切相关;次要目的是进行全基因组关联研究,以确定临床实践中与MAC比值相关的基因变异。

方法

主要结局是麻醉维持期的平均年龄校正MAC比值。主要暴露变量是同一时间窗内的平均MAP。在调整后的多变量线性回归中评估结局、暴露与各种人口统计学、实验室、手术和麻醉协变量之间的相关性。接下来,作者对临床给药的MAC比值进行了两项全基因组关联研究。

结果

在最终数据集中纳入的30125例病例中,平均±标准差年龄校正MAC比值为1.066±0.173,平均MAP为82±10 mmHg。在总体模型中,MAP与MAC比值相关(β = 0.0028;95%CI,0.0024至0.0032;P < 0.0001)。各种人口统计学因素(如女性:β = -0.0182;95%CI,-0.0219至-0.0144;P < 0.0001)、实验室因素、手术因素和麻醉因素也与麻醉药浓度相关。位于六个基因(DPH6、CPM、EEFSEC、SGSM1、CDH9和DISC1)附近的八个变异在一个模型而非两个模型中达到较低的提示性阈值(P < 1×10 -6);均未超过全基因组显著性阈值(P < 5×10 -8)。

结论

MAP与MAC比值的临床给药相关这一假设得到验证。作者还描述了吸入麻醉管理的实践模式,并确定了在建立麻醉需求模型时需要考虑的众多协变量。女性患者接受的麻醉药剂量较低,尽管有证据表明她们的需求更高。虽然全基因组关联研究未能在全基因组显著性水平(P < 5×10 -8)上识别出新的变异,但提出了多个具有合理机制的基因。值得注意的是,DISC1基因已被证明会影响异氟烷全身麻醉下的静息态脑激活,并与异常的睡眠/觉醒模式有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e096/12329811/b15022ce7a30/aln-143-541-g001.jpg

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