儿童脓毒症肾损伤的诊断方法及预测模型应用的国内外研究新进展
Research Updates on Diagnostic Methods and Predictive Models for Acute Kidney Injury in Children with Sepsis
DOI: 10.12677/acm.2024.143958, PDF,   
作者: 苏拜努尔, 阿布来提·阿不都哈尔*：新疆医科大学第一附属医院小儿急危重症医学科，新疆 乌鲁木齐
关键词: 脓毒症；急性肾损伤；儿童；预测模型；Sepsis； Acute Kidney Injury； Children； Prediction Model
摘要: 脓毒症肾损伤是儿童脓毒症患者常见的并发症之一，因此，对儿童脓毒症肾损伤进行早期诊断和预测对其治疗和预后具有重要意义。本文将对国内外在儿童脓毒症肾损伤诊断方式及治疗方面的研究进展进行综述，并重点关注国内外预测模型的研究。
Abstract: Sepsis kidney injury is one of the common complications in children with sepsis. Therefore, early diagnosis and prediction of sepsis kidney injury in children is of great significance for its treatment and prognosis. This article will review the research progress in diagnosis and treatment of kidney injury in children with sepsis at home and abroad, and focus on the research of prediction models at home and abroad.
文章引用：苏拜努尔, 阿布来提·阿不都哈尔. 儿童脓毒症肾损伤的诊断方法及预测模型应用的国内外研究新进展[J]. 临床医学进展, 2024, 14(3): 2163-2167. https://doi.org/10.12677/acm.2024.143958

参考文献

[1] 王宏飞, 李寅. 脓毒症相关性脑病诊断及治疗的研究进展[J]. 继续医学教育, 2021, 35(7): 79-81.
[2] Zarbock, A., Nadim, M.K., Pickkers, P., Gomez, H., Bell, S., Joannidis, M., Kashani, K., Koyner, J.L., Pannu, N., et al. (2023) Sepsis-Associated Acute Kidney Injury: Consensus Report of the 28th Acute Disease Quality Initiative Workgroup. Nature Reviews Nephrology, 19, 401-417.
[3] KDIGO (2013) AKI Guideline Work Group. Diagnosis, Evaluation, and Management of Acute Kidney Injury: A KDIGO Summary (Part 1). Critical Care, 17, 204.
[4] 黄佩钰, 郑晖, 肖政辉. 儿童脓毒症急性肾损伤诊断方式的研究进展[J]. 中国小儿急救医学, 2021, 28(8): 712-715. [Google Scholar] [CrossRef] 
[5] 郑静, 何海兰, 张国英. 人中性粒细胞明胶酶相关性脂质运载蛋白对ICU儿童脓毒症致急性肾损伤的预测诊断价值[J]. 第三军医大学学报, 2017, 39(2): 196-200. [Google Scholar] [CrossRef] 
[6] 徐佳音, 朱海燕, 徐锦. NGAL和KIM-1检测在儿童脓毒症合并急性肾损伤中的诊断价值[J]. 复旦学报(医学版), 2021, 48(1): 82-90.
[7] 刘霜, 惠奕, 李宁, 等. 血清Presepsin在儿童脓毒症诊断及病情评估中的应用[J]. 中国小儿急救医学, 2021, 28(12): 1082-1088. [Google Scholar] [CrossRef] 
[8] Alcaraz, A.J., Gil-Ruiz, M.A., Castillo, A., López, J., Romero, C., Fernández, S.N. and Carrillo, A. (2014) Postoperative Neutrophil Gelatinase-Associated Lipocalin Predicts Acute Kidney Injury after Pediatric Cardiac Surgery. Pediatric Critical Care Medicine, 15, 121-130.
[9] Sanchez-Pinto, L.N. and Khemani, R.G. (2016) Development of a Prediction Model of Early Acute Kidney Injury in Critically Ill Children Using Electronic Health Record Data. Pediatric Critical Care Medicine, 17, 508-515.
[10] Dong, J., Fen, T., Thapa-Chhetry, B., Cho, B.G., Shum, T., Inwald, D.P., Newth, C.J.L. and Vaidya, V.U. (2021) Machine Learning Model for Early Prediction of Acute Kidney Injury (AKI) in Pediatric Critical Care. Critical Care, 25, 288.
[11] 高洁, 冯阳, 吴君俊, 张超. 尿肾损伤分子1和肝型脂肪酸结合蛋白水平对脓毒症急性肾损伤的预测价值[J]. 内科急危重症杂志, 2020, 26(3): 212-215.
[12] 王晨. 机器学习在败血症患者急性肾损伤预测中的应用[J]. 中华医学杂志, 2022, 102(46): 3708. [Google Scholar] [CrossRef] 
[13] Pollack, M.M., Patel, K.M. and Ruttimann, U.E. (1996) PRISM III: An Updated Pediatric Risk of Mortality Score. Critical Care Medicine, 24, 743-752.
[14] Sankar, J., Gulla, K.M., Kumar, U.V., Lodha, R. and Kabra, S.K. (2018) Comparison of Outcomes Using Pediatric Index of Mortality (PIM)-3 and PIM-2 Models in a Pediatric Intensive Care Unit. Indian Pediatrics, 55, 972-974.
[15] 周文杰, 张楠, 马斯荣, 马希刚. 肾动脉阻力指数及尿血管紧张素原对脓毒症急性肾损伤患者早期诊断的临床价值[J]. 中华危重病急救医学, 2022, 34(11): 1183-1187.

为你推荐