急性脑梗死患者介入术后预后相关因素的单中心回顾性研究
A Single-Center Retrospective Study of Factors Associated with the Prognosis of Patients with Acute Ischemic Stroke after In-terventional Therapy
DOI: 10.12677/ACM.2023.1361266, PDF,   
作者: 王 旭, 代林志, 董江涛, 赵 冬*:石河子大学医学院第一附属医院神经外科,新疆 石河子
关键词: 急性缺血性脑梗死全身炎症指数预后Acute Ischemic Stroke Systemic Immune Inflammation Index Prognosis
摘要: 目的:探讨影响AIS患者机械取栓及补救性支架置入预后的相关因素。方法:选取本中心2019年至2022年所有进行机械取栓及补救性支架治疗的AIS患者,根据术后90天mRS评分将患者分为预后良好组(mRS评分0~2分)及预后不良组(mRS评分3~6分)。收集患者人口学特征、既往病史、入院时SII、术后24小时SII差值、肝肾功、OPT、入院时NIHSS评分、术后90天的mRS评分等临床资料;比较两组的资料有无统计学差异;使用多因素二元logistics回归分析影响AIS患者预后的独立危险因素;运用ROC曲线评估各独立危险因素对AIS患者预后的评估价值。结果:1) 入院NIHSS评分、OPT、取栓次数、LDH、SII差值是AIS患者介入术后预后的危险因素(OR > 1, P < 0.05);2) ROC曲线分析表明各独立危险因素联合预测预后不良的准确性比单用NIHSS效果更佳(P < 0.05)。结论:1) 入院NIHSS评分、发病至股动脉穿刺时间、取栓次数、乳酸脱氢酶、术后24小时SII差值是影响AIS患者介入术后预后的独立危险因素;2) 各独立危险因素联合预测预后具有更优的预测效能。
Abstract: Objective: This study examines the factors associated with the prognosis of patients with AIS after interventional therapy. Methods: All AIS patients who underwent mechanical thrombectomy and remedial stenting in our center from 2019 to 2022 were selected, and patients were divided into good prognosis group (mRS score 0~2) and poor prognosis group (mRS score 3~6) according to their 90-day postoperative mRS score; patient data include demographic characteristics, past med-ical history, SII at admission, 24-hour postoperative SII. The clinical data including demographic characteristics, past medical history, SII at admission, SII at 24 hours postoperatively, difference, liver and kidney function, OPT, NIHSS score at admission, and mRS score at 90 days postoperatively were collected; whether there was a statistical difference between the data collected in the two groups was compared; the independent risk factors affecting the prognosis of AIS patients were an-alyzed by using multifactorial binary logistic regression; the value of each independent risk factor in assessing the prognosis of AIS patients was assessed by using ROC curves. Results: 1) Admission NIHSS score, OPT, number of mechanical bolus retrievals, LDH, and SII difference were risk factors affecting the prognosis of patients with AIS undergoing interventional therapy (OR > 1, P < 0.05); 2) ROC curve analysis showed that the combination of independent risk factors was better than NIHSS score alone in predicting the accuracy of poor prognosis in patients with AIS (P < 0.05). Conclusion: 1) Admission NIHSS score, time from onset to femoral artery puncture, number of mechanical bolus retrievals, lactate dehydrogenase, and 24-hour postoperative SII difference were independent risk factors affecting the prognosis of patients with AIS after intervention; 2) the combination of inde-pendent risk factors had superior predictive efficacy in predicting prognosis.
文章引用:王旭, 代林志, 董江涛, 赵冬. 急性脑梗死患者介入术后预后相关因素的单中心回顾性研究[J]. 临床医学进展, 2023, 13(6): 9044-9052. https://doi.org/10.12677/ACM.2023.1361266

参考文献

[1] 佚名. 中国心血管健康与疾病报告(2019)节选二: 脑血管病[J]. 心脑血管病防治, 2020, 20(6): 544-552.
[2] 中华医学会神经病学分会, 中华医学会神经病学分会脑血管病学组, 中华医学会神经病学分会神经血管介入协作组. 中国急性缺血性卒中早期血管内介入诊疗指南2022 [J]. 中华神经科杂志, 2022, 55(6): 565-580.
[3] 中华医学会神经病学分会, 中华医学会神经病学分会脑血管病学组. 中国急性缺血性脑卒中诊治指南2018 [J]. 中华神经科杂志, 2018, 51(9): 666-682.
[4] Agard, T.A., Hass, R., Cavrak, M.E., et al. (2023) Neutrophil Lymphocyte Ratio (NLR) and Systemic Immune Inflammatory Index (SII) for the Differential Diagnosis of CT-Negative Mild Acute Is-chemic Stroke and Transient Ischemic Attack. International Journal of Neuroscience. [Google Scholar] [CrossRef] [PubMed]
[5] Huang, L.M. (2023) Increased Systemic Im-mune-Inflammation Index Predicts Disease Severity and Functional Outcome in Acute Ischemic Stroke Patients. The Neurologist, 28, 32-38. [Google Scholar] [CrossRef
[6] Lin, K.-B., Fan, F.-H., Cai, M.-Q., et al. (2022) Systemic Immune Inflammation Index and System Inflammation Response Index Are Potential Biomarkers of Atrial Fibrillation among the Patients Presenting with Ischemic Stroke. European Journal of Medical Research, 27, Article No. 106. [Google Scholar] [CrossRef] [PubMed]
[7] 渠成, 张尊胜. 全身免疫炎症指数对急性缺血性脑卒中患者发生卒中相关性肺炎的预测价值[J]. 徐州医学院学报, 2021, 41(7): 528-533.
[8] von Kummer, R., Broderick, J.P., Campbell, B.C., et al. (2015) The Heidelberg Bleeding Classification: Classification of Bleeding Events after Ischemic Stroke and Reperfusion Therapy. Stroke, 46, 2981-2986. [Google Scholar] [CrossRef
[9] 武霄, 宋海庆, 孙蔚, 等. 入院血压对行血管内治疗的急性缺血性卒中患者神经功能预后的影响研究[J]. 中国脑血管病杂志, 2022, 19(11): 733-740.
[10] Huang, L., Liu, S., Lei, Y., et al. (2016) Systemic Immune-Inflammation Index, Thymidine Phosphorylase and Survival of Localized Gastric Cancer Patients after Curative Resection. Oncotarget, 7, 44185-44193. [Google Scholar] [CrossRef] [PubMed]
[11] Tomita, M., Ayabe, T., Maeda, R. and Nakamura, K. (2018) Sys-temic Immune-Inflammation Index Predicts Survival of Patients after Curative Resection for Non-Small Cell Lung Cancer. In Vivo, 32, 663-667. [Google Scholar] [CrossRef] [PubMed]
[12] Chen, Q., Wu, H., Guo, X., et al. (2020) The Change of Systemic Im-mune-Inflammation Index Independently Predicts Survival of Colorectal Cancer Patients after Curative Resection. Medi-ators of Inflammation, 2020, Article ID: 4105809. [Google Scholar] [CrossRef] [PubMed]
[13] Li, W., Ma, G., Deng, Y., et al. (2021) Systemic Immune-Inflammation Index Is a Prognostic Factor for Breast Cancer Patients after Curative Resection. Frontiers in Oncology, 11, Article 570208. [Google Scholar] [CrossRef] [PubMed]
[14] Pluta, R., Januszewski, S. and Czuczwar, S.J. (2021) Neuroinflammation in Post-Ischemic Neurodegeneration of the Brain: Friend, Foe, or Both? International Journal of Molecular Sciences, 22, Article No. 4405. [Google Scholar] [CrossRef] [PubMed]
[15] Li, S.-J., Cao, S.-S., Huang, P.-S., et al. 2022) Post-Operative Neutro-phil-to-Lymphocyte Ratio and Outcome after Thrombectomy in Acute Ischemic Stroke. Frontiers in Neurology, 13, Arti-cle 990209. [Google Scholar] [CrossRef] [PubMed]
[16] Li, W., Hou, M., Ding, Z., et al. (2021) Prognostic Value of Neu-trophil-to-Lymphocyte Ratio in Stroke: A Systematic Review and Meta-Analysis. Frontiers in Neurology, 12, Article 686983. [Google Scholar] [CrossRef] [PubMed]
[17] Jin, R., Yang, G. and Li, G. (2010) Inflammatory Mecha-nisms in Ischemic Stroke: Role of Inflammatory Cells. Journal of Leukocyte Biology, 87, 779-789. [Google Scholar] [CrossRef] [PubMed]
[18] Ceulemans, A.-G., Zgavc, T., Kooijman, R., et al. (2010) The Dual Role of the Neuroinflammatory Response after Ischemic Stroke: Modulatory Effects of Hypothermia. Journal of Neuroin-flammation, 7, Article No. 74. [Google Scholar] [CrossRef] [PubMed]
[19] Kim, J.Y., Park, J., Chang, J.Y., Kim, S.-H. and Lee, J.E. (2016) In-flammation after Ischemic Stroke: The Role of Leukocytes and Glial Cells. Experimental Neurobiology, 25, 241-251. [Google Scholar] [CrossRef] [PubMed]
[20] Dyatlova, A.S., Novikova, N.S., Yushkov, B.G., et al. (2022) The Blood-Brain Barrier in Neuroimmune Interactions and Pathological Processes. Herald of the Russian Academy of Sci-ences, 92, 590-599. [Google Scholar] [CrossRef
[21] 卢敏, 郑威楠. 水通道蛋白AQP-4与脑水肿[J]. 农垦医学, 2012, 34(3): 254-258.
[22] Drent, M., Cobben, N., Henderson, R.F., Wouters, E.F. and van Dieijen-Visser, M. (1996) Usefulness of Lactate Dehydrogenase and Its Isoenzymes as Indicators of Lung Damage or Inflammation. European Respiratory Journal, 9, 1736-1742. [Google Scholar] [CrossRef] [PubMed]
[23] Wang, A., Tian, X., Zuo, Y., et al. (2021) High Lactate De-hydrogenase Was Associated with Adverse Outcomes in Patients with Acute Ischemic Stroke or Transient Ischemic At-tack. Annals of Palliative Medicine, 10, 10185-10195. [Google Scholar] [CrossRef] [PubMed]
[24] Yan, D., Huang, Q., Dai, C., Ren, W. and Chen, S. (2021) Lactic De-hydrogenase to Albumin Ratio Is Associated with the Risk of Stroke-Associated Pneumonia in Patients with Acute Is-chemic Stroke. Frontiers in Nutrition, 8, Article 743216. [Google Scholar] [CrossRef] [PubMed]
[25] Bakay, R.A.E. and Ward Jr., A.A. (1983) Enzymatic Changes in Serum and Cerebrospinal Fluid in Neurological Injury. Journal of Neurosurgery, 58, 27-37. [Google Scholar] [CrossRef] [PubMed]
[26] Certo, M., Tsai, C.-H., Pucino, V., Ho, P.-C. and Mauro, C. (2021) Lactate Modulation of Immune Responses in Inflammatory Versus Tumour Microenvi-ronments. Nature Reviews Immunology, 21, 151-161. [Google Scholar] [CrossRef] [PubMed]
[27] Ding, G.-Y., Xu, J.-H., He, J.-H. and Nie, Z.-Y. (2022) Clinical Scoring Model Based on Age, NIHSS, and Stroke-History Predicts Outcome 3 Months after Acute Ischemic Stroke. Frontiers in Neurology, 13, Article 935150. [Google Scholar] [CrossRef] [PubMed]
[28] Goyal, M., Menon, B.K., Zwam, W., et al. (2016) Endovascular Thrombectomy after Large-Vessel Ischaemic Stroke: A Meta-Analysis of Individual Patient Data from Five Randomised Trials. Lancet, 387, 1723-1731. [Google Scholar] [CrossRef
[29] Berkhemer, O.A., Fransen, P.S., Beumerd, D., et al. (2015) A Randomized Trial of Intraarterial Treatment for Acute Ischemic Stroke. New England Journal of Medicine, 372, 11-20. [Google Scholar] [CrossRef
[30] Campbell, B.C.V., Mitchell, P.J., Kleinig, T.J., et al. (2015) Endo-vascular Therapy for Ischemic Stroke with Perfusion-Imaging Selection. New England Journal of Medicine, 372, 1009-1018. [Google Scholar] [CrossRef
[31] Goyal, M., Demchuk, A.M., Menon, B.K., et al. (2015) Randomized Assessment of Rapid Endovascular Treatment of Ischemic Stroke. New England Journal of Medicine, 372, 1019-1030. [Google Scholar] [CrossRef
[32] Saver, J.L., Goyal, M., Bonafe, A., et al. (2015) Stent-Retriever Thrombectomy after Intravenous t-PA vs. t-PA Alone in Stroke. New England Journal of Medicine, 372, 2285-2295. [Google Scholar] [CrossRef
[33] Jovin, T.G., Chamorro, A., Cobo, E., et al. (2015) Thrombectomy within 8 Hours after Symptom Onset in Ischemic Stroke. New England Journal of Medicine, 372, 2296-2306. [Google Scholar] [CrossRef
[34] Goyal, M., Menon, B.K., Coutts, S.B., Hill, M.D. and Demchuk, A.M. (2011) Effect of Baseline CT Scan Appearance and Time to Recanalization on Clinical Outcomes in Endovascular Thrombectomy of Acute Ischemic Strokes. Stroke, 42, 93-97. [Google Scholar] [CrossRef
[35] 王霞, 朱美意. 新疆石河子地区急性脑卒中患者就诊时间及预后分析[J]. 农垦医学, 2014, 36(4): 300-305.
[36] García-Tornel, Á., Requena, M., Rubiera, M., et al. (2019) When to Stop. Stroke, 50, 1781-1788. [Google Scholar] [CrossRef
[37] 王勇, 陈胜利, 李赛男, 等. 急性缺血性卒中血管内治疗后出血转化的预测因素研究进展[J]. 当代医学, 2021, 27(18): 191-194.
[38] Linfante, I., Starosciak, A.K., Walker, G.R., et al. (2016) Predictors of Poor Outcome despite Recanalization: A Multiple Regression Analysis of the NASA Registry. Journal of Neurointerventional Surgery, 8, 224-229. [Google Scholar] [CrossRef] [PubMed]