血浆炎症指标对糖尿病患者冠脉支架术后再狭窄预测分析
Predictive Analysis of Plasma Inflammatory Indicators on Restenosis after Coronary Stenting in Diabetes Patients
DOI: 10.12677/acm.2024.14123226, PDF,   
作者: 夏学雯:内蒙古医科大学研究生院,内蒙古 呼和浩特;高 雯*:内蒙古巴彦淖尔市医院心血管内科,内蒙古 巴彦淖尔
关键词: 冠状动脉支架术后再狭窄2型糖尿病血细胞参数冠心病血小板Restenosis after Coronary Artery Stenting Type 2 Diabetes Blood Cell Parameters Coronary Heart Disease Platelet
摘要: 经皮冠状动脉介入治疗(PCI)作为冠心病(CHD)的重要治疗方法,尽管药物洗脱支架取得了重大进展,但支架内再狭窄(ISR)仍然是PCI后具有挑战性的临床问题,其中炎症反应和血小板的激活至关重要,而糖尿病病程长短是否会影响体内炎症表达,临床尚无确切说明,因此,本文旨在讨论血浆炎症指标对糖尿病患者冠脉支架术后再狭窄的预测作用,为糖尿病患者冠脉支架术后管理和治疗策略提供科学依据。
Abstract: Percutaneous coronary intervention (PCI) is an important treatment method for coronary heart disease (CHD). Although drug-eluting stents have made significant progress, in stent restenosis (ISR) is still a challenging clinical problem after PCI. Inflammatory response and platelet activation are crucial, and whether the duration of diabetes will affect the expression of inflammation in vivo has not yet been clearly explained in clinical practice. Therefore, this article aims to discuss the predictive effect of plasma inflammatory indicators on the restenosis of diabetes patients after coronary stenting, and provide scientific basis for the management and treatment strategies of diabetes patients after coronary stenting.
文章引用:夏学雯, 高雯. 血浆炎症指标对糖尿病患者冠脉支架术后再狭窄预测分析[J]. 临床医学进展, 2024, 14(12): 1358-1364. https://doi.org/10.12677/acm.2024.14123226

参考文献

[1] Van Camp, G. (2014) Cardiovascular Disease Prevention. Acta Clinica Belgica, 69, 407-411. [Google Scholar] [CrossRef] [PubMed]
[2] Serruys, P.W., Kutryk, M.J.B. and Ong, A.T.L. (2006) Coronary-Artery Stents. New England Journal of Medicine, 354, 483-495. [Google Scholar] [CrossRef] [PubMed]
[3] Gori, T. (2022) Restenosis after Coronary Stent Implantation: Cellular Mechanisms and Potential of Endothelial Progenitor Cells (A Short Guide for the Interventional Cardiologist). Cells, 11, Article 2094. [Google Scholar] [CrossRef] [PubMed]
[4] Byrne, R.A., Joner, M. and Kastrati, A. (2015) Stent Thrombosis and Restenosis: What Have We Learned and Where Are We Going? The Andreas Grüntzig Lecture ESC 2014. European Heart Journal, 36, 3320-3331. [Google Scholar] [CrossRef] [PubMed]
[5] Ullrich, H., Olschewski, M., Münzel, T. and Gori, T. (2021) Coronary In-Stent Restenosis: Predictors and Treatment. Deutsches Ärzteblatt international, 118, 637-644. [Google Scholar] [CrossRef] [PubMed]
[6] He, W., Xu, C., Wang, X., Lei, J., Qiu, Q., Hu, Y., et al. (2021) Development and Validation of a Risk Prediction Nomogram for In-Stent Restenosis in Patients Undergoing Percutaneous Coronary Intervention. BMC Cardiovascular Disorders, 21, Article No. 435. [Google Scholar] [CrossRef] [PubMed]
[7] Alfonso, F., Byrne, R.A., Rivero, F. and Kastrati, A. (2014) Current Treatment of In-Stent Restenosis. Journal of the American College of Cardiology, 63, 2659-2673. [Google Scholar] [CrossRef] [PubMed]
[8] Xi, H., Liu, J., Xu, T., Li, Z., Mou, X., Jin, Y., et al. (2023) Risk Investigation of In-Stent Restenosis after Initial Implantation of Intracoronary Drug-Eluting Stent in Patients with Coronary Heart Disease. Frontiers in Cardiovascular Medicine, 10, Article 1117915. [Google Scholar] [CrossRef] [PubMed]
[9] Chambers, S.E.J., Pathak, V., Pedrini, E., Soret, L., Gendron, N., Guerin, C.L., et al. (2021) Current Concepts on Endothelial Stem Cells Definition, Location, and Markers. Stem Cells Translational Medicine, 10, S54-S61. [Google Scholar] [CrossRef] [PubMed]
[10] Kucukseymen, S. (2017) Inflammation Effects on Stent Restenosis. Angiology, 68, 741. [Google Scholar] [CrossRef] [PubMed]
[11] Amalia, M., Saputri, F.C., Sauriasari, R. and Widyantoro, B. (2023) Complete Blood Count, Lipid Profiles, and Inflammatory Markers Associated with Atherosclerotic Cardiovascular Disease in Patients with Diabetes. F1000Research, 12, Article 1470. [Google Scholar] [CrossRef
[12] Alamri, B.N., Bahabri, A., Aldereihim, A.A., et al. (2019) Hyperglycemia Effect on Red Blood Cells Indices. European Review for Medical & Pharmacological Sciences, 23, 2139-2150. [Google Scholar] [CrossRef] [PubMed]
[13] Poznyak, A., Grechko, A.V., Poggio, P., Myasoedova, V.A., Alfieri, V. and Orekhov, A.N. (2020) The Diabetes Mellitus-Atherosclerosis Connection: The Role of Lipid and Glucose Metabolism and Chronic Inflammation. International Journal of Molecular Sciences, 21, Article 1835. [Google Scholar] [CrossRef] [PubMed]
[14] Mortaş, T., Arikan Durmaz, Ş., Sezen, Ş.C. and Savranlar, Y. (2021) Assessment of Erythrocyte Morphology in Patients with Type 2 Diabetes Mellitus: A Pilot Study of Electron Microscopy-Based Analysis in Relation to Healthy Controls. Turkish Journal of Medical Sciences, 51, 2534-2542. [Google Scholar] [CrossRef] [PubMed]
[15] Geng, N., Su, G., Wang, S., Zou, D., Pang, W. and Sun, Y. (2019) High Red Blood Cell Distribution Width Is Closely Associated with In-Stent Restenosis in Patients with Unstable Angina Pectoris. BMC Cardiovascular Disorders, 19, Article No. 175. [Google Scholar] [CrossRef] [PubMed]
[16] Xiong, K., Xu, C., Shou, X. and Dong, M. (2023) Relation of Red Cell Distribution Width to Glucose Metabolism and Adverse Long-Term Prognosis in Patients with Acute Coronary Syndrome. Diabetes, Metabolic Syndrome and Obesity, 16, 61-70. [Google Scholar] [CrossRef] [PubMed]
[17] Kawabe, A., Yasu, T., Morimoto, T., Tokushige, A., Momomura, S., Sakakura, K., et al. (2021) WBC Count Predicts Heart Failure in Diabetes and Coronary Artery Disease Patients: A Retrospective Cohort Study. ESC Heart Failure, 8, 3748-3759. [Google Scholar] [CrossRef] [PubMed]
[18] Narjis, M., Noreen, M., Safi, S.Z., Ilahi, N.E., Alomar, S.Y. and Alkhuriji, A.F. (2021) Cross Talk between Complete Blood Count and Progression of Type II Diabetes Mellitus. Journal of King Saud UniversityScience, 33, Article 101492. [Google Scholar] [CrossRef
[19] Balta, S., Celik, T., Mikhailidis, D.P., Ozturk, C., Demirkol, S., Aparci, M., et al. (2015) The Relation between Atherosclerosis and the Neutrophil-Lymphocyte Ratio. Clinical and Applied Thrombosis/Hemostasis, 22, 405-411. [Google Scholar] [CrossRef] [PubMed]
[20] Chen, J., Chen, M., Li, S., Guo, Y., Zhu, C., Xu, R., et al. (2014) Usefulness of the Neutrophil-to-Lymphocyte Ratio in Predicting the Severity of Coronary Artery Disease: A Gensini Score Assessment. Journal of Atherosclerosis and Thrombosis, 21, 1271-1282. [Google Scholar] [CrossRef] [PubMed]
[21] Duffy, B.K., Gurm, H.S., Rajagopal, V., Gupta, R., Ellis, S.G. and Bhatt, D.L. (2006) Usefulness of an Elevated Neutrophil to Lymphocyte Ratio in Predicting Long-Term Mortality after Percutaneous Coronary Intervention. The American Journal of Cardiology, 97, 993-996. [Google Scholar] [CrossRef] [PubMed]
[22] Zouridakis, E.G., Garcia-Moll, X. and Kaski, J.C. (2000) Usefulness of the Blood Lymphocyte Count in Predicting Recurrent Instability and Death in Patients with Unstable Angina Pectoris. The American Journal of Cardiology, 86, 449-451. [Google Scholar] [CrossRef] [PubMed]
[23] Yi, N., Chen, S., Ma, A., Chen, P., Yao, B., Liang, T., et al. (2012) Tunicamycin Inhibits PDGF‐BB‐Induced Proliferation and Migration of Vascular Smooth Muscle Cells through Induction of HO‐1. The Anatomical Record, 295, 1462-1472. [Google Scholar] [CrossRef] [PubMed]
[24] Huczek, Z., Filipiak, K.J., Kochman, J., Michalak, M., Roik, M., Piatkowski, R., et al. (2010) Baseline Platelet Size Is Increased in Patients with Acute Coronary Syndromes Developing Early Stent Thrombosis and Predicts Future Residual Platelet Reactivity. A Case-Control Study. Thrombosis Research, 125, 406-412. [Google Scholar] [CrossRef] [PubMed]
[25] Li, L., Qu, C., Wu, X., Dai, J., Lu, Y., Gong, Y., et al. (2017) Patterns and Levels of Platelet Glycosylation in Patients with Coronary Heart Disease and Type 2 Diabetes Mellitus. Journal of Thrombosis and Thrombolysis, 45, 56-65. [Google Scholar] [CrossRef] [PubMed]
[26] Li, C., Shen, Y., Xu, R., Dai, Y., Chang, S., Lu, H., et al. (2018) Evaluation of Preprocedural Laboratory Parameters as Predictors of Drug-Eluting Stent Restenosis in Coronary Chronic Total Occlusion Lesions. Angiology, 70, 272-278. [Google Scholar] [CrossRef] [PubMed]
[27] Shumilah, A.M., Othman, A.M. and Al-Madhagi, A.K. (2021) Accuracy of Neutrophil to Lymphocyte and Monocyte to Lymphocyte Ratios as New Inflammatory Markers in Acute Coronary Syndrome. BMC Cardiovascular Disorders, 21, Article No. 422. [Google Scholar] [CrossRef] [PubMed]
[28] Song, F.H., Zheng, Y.Y., Tang, J.N., et al. (2021) A Correlation between Monocyte to Lymphocyte Ratio and Long-Term Prognosis in Patients with Coronary Artery Disease after PCI. Clinical and Applied Thrombosis/Hemostasis, 27. [Google Scholar] [CrossRef] [PubMed]
[29] Unal, E.U., Ozen, A., Kocabeyoglu, S., Durukan, A.B., Tak, S., Songur, M., et al. (2013) Mean Platelet Volume May Predict Early Clinical Outcome after Coronary Artery Bypass Grafting. Journal of Cardiothoracic Surgery, 8, Article No. 91. [Google Scholar] [CrossRef] [PubMed]
[30] Guthikonda, S., Lev, E.I., Patel, R., Delao, T., Bergeron, A.L., Dong, J.‐F., et al. (2007) Reticulated Platelets and Uninhibited COX‐1 and COX‐2 Decrease the Antiplatelet Effects of Aspirin. Journal of Thrombosis and Haemostasis, 5, 490-496. [Google Scholar] [CrossRef] [PubMed]
[31] Guthikonda, S., Alviar, C.L., Vaduganathan, M., Arikan, M., Tellez, A., DeLao, T., et al. (2008) Role of Reticulated Platelets and Platelet Size Heterogeneity on Platelet Activity after Dual Antiplatelet Therapy with Aspirin and Clopidogrel in Patients with Stable Coronary Artery Disease. Journal of the American College of Cardiology, 52, 743-749. [Google Scholar] [CrossRef] [PubMed]
[32] Choi, D., Kang, S. and Song, H. (2016) Mean Platelet Volume: A Potential Biomarker of the Risk and Prognosis of Heart Disease. The Korean Journal of Internal Medicine, 31, 1009-1017. [Google Scholar] [CrossRef] [PubMed]
[33] Rechciński, T., Jasińska, A., Foryś, J., Krzemińska-Pakuła, M., Wierzbowska-Drabik, K., Plewka, M., et al. (2013) Prognostic Value of Platelet Indices after Acute Myocardial Infarction Treated with Primary Percutaneous Coronary Intervention. Cardiology Journal, 20, 491-498. [Google Scholar] [CrossRef] [PubMed]
[34] Sansanayudh, N., Anothaisintawee, T., Muntham, D., McEvoy, M., Attia, J. and AmmarinThakkinstian, (2014) Mean Platelet Volume and Coronary Artery Disease: A Systematic Review and Meta-Analysis. International Journal of Cardiology, 175, 433-440. [Google Scholar] [CrossRef] [PubMed]
[35] Yang, A., Pizzulli, L. and Lüderitz, B. (2006) Mean Platelet Volume as Marker of Restenosis after Percutaneous Transluminal Coronary Angioplasty in Patients with Stable and Unstable Angina Pectoris. Thrombosis Research, 117, 371-377. [Google Scholar] [CrossRef] [PubMed]
[36] Chai, D., Yang, X., Wang, A., et al. (2022) Usefulness of Platelet Distribution Width and Fibrinogen in Predicting In-Stent Restenosis with Stable Angina and Type 2 Patients with Diabetes Mellitus. Frontiers in Cardiovascular Medicine, 9, Article 710804. [Google Scholar] [CrossRef] [PubMed]
[37] Bekler, A., Ozkan, M.T.A., Tenekecioglu, E., Gazi, E., Yener, A.U., Temiz, A., et al. (2014) Increased Platelet Distribution Width Is Associated with Severity of Coronary Artery Disease in Patients with Acute Coronary Syndrome. Angiology, 66, 638-643. [Google Scholar] [CrossRef] [PubMed]
[38] Liu, R., Gao, F., Huo, J. and Yi, Q. (2011) Study on the Relationship between Mean Platelet Volume and Platelet Distribution Width with Coronary Artery Lesion in Children with Kawasaki Disease. Platelets, 23, 11-16. [Google Scholar] [CrossRef] [PubMed]