[1] 任艳艳,虞志新,杨宏锋,等.脓毒症并发肝损伤患者血清GP73和miR-122a与miR-125b水平及其预测价值.中华医院感染学杂志,2024,34(3):366-370. [2] Jacobi J. The pathophysiology of sepsis - 2021 update: Part 2, organ dysfunction and assessment. Am J Health Syst Pharm, 2022, 79(6):424-436. [3] 张锦鑫,沈括,李俊杰,等.脓毒症相关性急性肝损伤的流行病学特点及致病因素分析.中华急诊医学杂志,2022,31(2):203-209. [4] Desposito L, Bascara C. Review: sepsis guidelines and core measure bundles. Postgrad Med, 2024, 136(7):702-711. [5] 李丰帆,杨磊,王东强,等.T淋巴细胞亚群联合炎性指标对脓毒症的辅助诊断及预后评估价值.中华预防医学杂志,2022,56(4):494-502. [6] 中国医师协会急诊医师分会,中国研究型医院学会休克与脓毒症专业委员会.中国脓毒症/脓毒性休克急诊治疗指南(2018年).感染、炎症、修复,2019,20(1):3-22. [7] 付绪哲,王煜.脓毒症肺损伤的机制及治疗展望.中国临床研究,2023,36(10):1445-1448. [8] Kim TS, Choi DH. Liverdysfunction in sepsis. Korean J Gastroenterol, 2020, 75(4):182-187. [9] 符艺影,冯小伟,林坚,等.血清miR-122a、MIF和HMGB1对儿童脓毒症并发肝损伤的预测价值.中华医院感染学杂志,2024,34(9):1428-1432. [10] Liang H, Song H, Zhang X, et al. Metformin attenuated sepsis-related liver injury by modulating gut microbiota. Emerg Microbes Infect, 2022, 11(1):815-828. [11] Long Y, Tong Y, Wu Y, et al. Interaction between acute hepatic injury and early coagulation dysfunction on mortality in patients with acute myocardial infarction. J Clin Med, 2023, 12(4):1534-1545. [12] 尹霄,叶寅杰,汤铭阁,等.HbA1c、SHR、CRP等指标对脓毒症老年患者预后的预测价值及脓毒症相关危险因素.中国老年学杂志,2024,44(10):2419-2421. [13] Hwang YS, Lim J, Yoon HR, et al. Astragaluscomplanatus ethanol attenuates septic shock by exerting anti-inflammatory effects on macrophages. Int J Mol Sci, 2023, 25(1):384-396. [14] Xie T, Xin Q, Cao X, et al. Clinical characteristics and construction of a predictive model for patients with sepsis related liver injury. Clin Chim Acta, 2022, 537(1):80-86. [15] 高进,殷娟,沈文娟,等.山奈酚对脓毒症大鼠肝损伤的影响及其与HIF-1α/HK2通路的关系.中国急救医学,2023,43(4):279-284. [16] Zhou H. Total bilirubin level is associated with acute kidney injury in neonates admitted to the neonatal intensive care units: based on MIMIC-III database. Eur J Pediatr, 2024, 183(10):4235-4241. [17] 何黎,伍莹,季晓珍,等.肝素结合蛋白,总胆红素和白细胞计数联合预测严重创伤合并脓毒症的效能评价.中国病理生理杂志,2024,40(7):1292-1299. [18] Zhang Z, Wang J, Han W, et al. Using machine learning methods to predict 28-day mortality in patients with hepatic encephalopathy. BMC Gastroenterol, 2023, 23(1):111-122. [19] Lin H, Liang Q, Cai Q, et al. Analysis of high-risk factors and clinical characteristics of sepsis-related liver injury. Chin Crit Care Med, 2021, 33(2):186-191. [20] Zhang P, Liu W, Wang S, et al.Ferroptosisand its role in the treatment of sepsis-related organ injury: Mechanisms and potential therapeutic approaches. Infect Drug Resist, 2024,17:5715-5727. [21] Abdullah T, Gökduman HC, Enişte İA, et al. Mean arterial pressure versus cardiac index for haemodynamic management and myocardial injury after hepatopancreatic surgery: A randomised controlled trial. Eur J Anaesthesiol,2024,41(11):831-840. |