CHADS2与CHA2DS2-VASc评分预测房颤卒中患者颅内外大动脉粥样硬化狭窄
Predicting Large Atherosclerotic Stenosis with CHADS2 and CHA2DS2-VASc Scores in Stroke Patients with Atrial Fibrillation
摘要: 目的:探讨CHADS2与CHA2DS2-VASc评分及评分项目预测非瓣膜性房颤并发急性缺血性卒中患者(房颤卒中)合并颅内外大动脉粥样硬化狭窄的可能性。方法:选择2018年1月至2020年1月住院治疗的非瓣膜性房颤合并急性缺血性卒中患者,根据是否存在颅内外大动脉粥样硬化狭窄标准分组,按照CHADS2评分与CHA2DS2-VASc评分项目统计患者入院时基线资料及相关实验室检查结果,对入组患者行CHADS2评分及CHA2DS2-VASc评分,并通过影像学评估颅脑结构及颅内外血管病变。结果:共入组202例房颤卒中患者,其中,合并颅内外大动脉粥样硬化狭窄病例137例(67.8%)。与未合并大动脉粥样硬化狭窄组相比,合并大动脉粥样硬化狭窄组年龄、血管疾病比例及CHA2DS2-VASc评分较高,心力衰竭比例较低。经Logistic回归分析,年龄与心力衰竭与是否合并大动脉粥样硬化狭窄独立相关。绘制ROC曲线,AUC值表明CHADS2评分项目[AUC = 0.705 (0.628~0.782), P < 0.001]、CHA2DS2-VASc评分[AUC = 0.724 (0.650~0.797), P < 0.05]及评分项目[AUC = 0.731 (0.655~0.806), P < 0.001]可预测房颤卒中合并颅内外大动脉粥样硬化狭窄。结论:在房颤合并卒中患者中,CHA2DS2-VASc评分及评分项目预测房颤卒中合并颅内外大动脉粥样硬化狭窄的效能更佳。
Abstract: Objective: To explore the possibility of CHADS2 and CHA2DS2-VASc scores and scoring items in predicting the possibility of non-valvular atrial fibrillation (NVAF) complicated by acute ischemic stroke (AIS) with intra/extracranial large atherosclerotic stenosis (LAS). Methods: AIS patients with NVAF who were hospitalized from January 2018 to January 2020 were enrolled, and were grouped according to the standard of intra/extracranial atherosclerosis stenosis. The baseline datas and relevant laboratory examinations were gathered. CHADS2 scores and CHA2DS2-VASc scores at admission were counted. Imaging evaluation of brain structure and intra/extracranial vascular were practiced. Results: Among the 202 AIS patients with NVAF, 137 cases (67.8%) concomitanted intra/extracranial atherosclerotic stenosis. Compared with the group of patients with intra/extracranial atherosclerotic stenosis (Group A), the age, the proportion of vascular disease and CHA2DS2-VASc score were higher in the group of patients without intra/extracranial atherosclerotic stenosis (Group B), whereas the proportion of heart failure (HF) was lower. Logistic regression analysis showed that the the age and the proportion of HF were independently related to the presence or absence of atherosclerotic stenosis. Receiver operating characteristic (ROC) curve analysis showed that CHADS2 scoring items [area under the curve (AUC) = 0.705 (0.628~0.782), P < 0.001], CHA2DS2-VASc scores [AUC = 0.705 (0.628~0.782), P < 0.001] and scoring items [AUC = 0.731 (0.655~0.806), P < 0.001] can predict atrial fibrillation stroke with intracranial and extracranial atherosclerotic stenosis. Conclusion: In AIS patients with NVAF, The CHA2DS2-VASc score and scoring items are more effective in predicting atrial fibrillation stroke combined with intra/extracranial atherosclerotic stenosis.
文章引用:吴昊, 魏淑琦, 赵仁亮. CHADS2与CHA2DS2-VASc评分预测房颤卒中患者颅内外大动脉粥样硬化狭窄[J]. 临床医学进展, 2021, 11(4): 1686-1694. https://doi.org/10.12677/ACM.2021.114242

参考文献

[1] Writing Group M, Mozaffarian, D., Benjamin, E.J., et al. (2016) Heart Disease and Stroke Statistics—2016 Update: A Report from the American Heart Association. Circulation, 133, e38-e360.
[2] Adams, H.P., Bendixen, B.H., Kappelle, L.J., et al. (1993) Classification of Subtype of Acute Ischemic Stroke. Definitions for Use in a Multicenter Clinical Trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment. Stroke, 24, 35-41. [Google Scholar] [CrossRef
[3] Kim, Y.D., Cha, M.J., Kim, J., et al. (2011) Increases in Cerebral Atherosclerosis According to CHADS2 Scores in Patients with Stroke with Nonvalvular Atrial Fibrillation. Stroke, 42, 930-934. [Google Scholar] [CrossRef
[4] Kim, S.J., Ryoo, S., Kwon, S., et al. (2013) Is Atrial Fibrillation Always a Culprit of Stroke in Patients with Atrial Fibrillation plus Stroke? Cerebrovascular Diseases, 36, 373-382. [Google Scholar] [CrossRef] [PubMed]
[5] Cha, M.J., Kim, Y.D., Nam, H.S., Kim, J., Lee, D.H. and Heo, J.H. (2012) Stroke Mechanism in Patients with Non-Valvular Atrial Fibrillation According to the CHADS2 and CHA2 DS2-VASc Scores. European Journal of Neurology, 19, 473-479. [Google Scholar] [CrossRef] [PubMed]
[6] 中华医学会神经病学分会. 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(59): 666-682.
[7] 中国高血压防治指南修订委员会, 中华医学会心血管病学分会, 等. 中国高血压防治指南2018[J]. 中国心血管杂志, 2019, 24(1): 24-56.
[8] 中华医学会糖尿病学分会. 中国2型糖尿病防治指南(2017年版) [J]. 中国实用内科杂志, 2018, 38(4): 292-344.
[9] 中华医学会心血管病学分会心力衰竭学组, 中国医师协会心力衰竭专业委员会中华心血管病杂志编辑委员会. 中国心力衰竭诊断与治疗指南2018[J] 中华心血管病杂志, 2018, 46(10): 760-789.
[10] Samuels, O.B., Joseph, G.J., Lynn, M.J., Smith, H.A. and Chimowitz, M.I. (2000) A Standardized Method for Measuring Intracranial Arterial Stenosis. American Journal of Neuroradiology, 21, 643-646.
[11] (1991) North American Symptomatic Carotid Endarterectomy Trial. Methods, Patient Characteristics, and Progress. Stroke, 22, 711-720. [Google Scholar] [CrossRef
[12] January, C.T., Wann, L.S., Calkins, H., et al. (2019) 2019 AHA/ACC/HRS Focused Update of the 2014 AHA/ACC/HRS Guideline for the Management of Patients with Atrial Fibrillation: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Rhythm Society. Journal of the American College of Cardiology, 74, 104-132. [Google Scholar] [CrossRef] [PubMed]
[13] Goldstein, L.B., Bertels, C. and Davis, J.N. (1989) Interrater Reliability of the NIH Stroke Scale. Archives of Neurology, 46, 660-662. [Google Scholar] [CrossRef] [PubMed]
[14] Hoole, S.P., Heck, P.M., White, P.A., et al. (2010) Stunning and Cumulative Left Ventricular Dysfunction Occurs Late after Coronary Balloon Occlusion in Humans Insights from Simultaneous Coronary and Left Ventricular Hemodynamic Assessment. JACC: Cardiovascular Interventions, 3, 412-418. [Google Scholar] [CrossRef] [PubMed]
[15] Cha, M.J., Lee, H.S., Kim, Y.D., Nam, H.S. and Heo, J.H. (2013) The Association between Asymptomatic Coronary Artery Disease and CHADS2 and CHA2 DS2-VASc Scores in Patients with Stroke. European Journal of Neurology, 20, 1256-1263. [Google Scholar] [CrossRef] [PubMed]
[16] Granger, C.B., Alexander, J.H., McMurray, J.J., et al. (2011) Apixaban versus Warfarin in Patients with Atrial Fibrillation. The New England Journal of Medicine, 365, 981-992. [Google Scholar] [CrossRef
[17] Gage, B.F., Waterman, A.D., Shannon, W., Boechler, M., Rich, M.W. and Radford, M.J. (2001) Validation of Clinical Classification Schemes for Predicting Stroke: Results from the National Registry of Atrial Fibrillation. JAMA, 285, 2864-2870. [Google Scholar] [CrossRef] [PubMed]
[18] Lip, G.Y., Frison, L., Halperin, J.L. and Lane, D.A. (2010) Identifying Patients at High Risk for Stroke Despite Anticoagulation: A Comparison of Contemporary Stroke Risk Stratification Schemes in an Anticoagulated Atrial Fibrillation Cohort. Stroke, 41, 2731-2738. [Google Scholar] [CrossRef
[19] Puwanant, S., Varr, B.C., Shrestha, K., et al. (2009) Role of the CHADS2 Score in the Evaluation of Thromboembolic Risk in Patients with Atrial Fibrillation Undergoing Transesophageal Echocardiography before Pulmonary Vein Isolation. Journal of the American College of Cardiology, 54, 2032-2039. [Google Scholar] [CrossRef] [PubMed]
[20] Rietbrock, S., Heeley, E., Plumb, J. and van Staa, T. (2008) Chronic Atrial Fibrillation: Incidence, Prevalence, and Prediction of Stroke Using the Congestive Heart Failure, Hypertension, Age >75, Diabetes Mellitus, and Prior Stroke or Transient Ischemic Attack (CHADS2) Risk Stratification Scheme. American Heart Journal, 156, 57-64. [Google Scholar] [CrossRef] [PubMed]
[21] Gallagher, R., Zhang, L., Roach, K., et al. (2015) Profile of Atrial Fibrillation Inpatients: Cardiovascular Risk Factors and Cardiac Rehabilitation Programme Delivery and Referral Patterns. International Journal of Nursing Practice, 21, 749-755. [Google Scholar] [CrossRef] [PubMed]
[22] Baalbaki, H.A. and Bell, D.S. (2007) Insulin Resistance and Thrombogenesis: Recent Insights and Therapeutic Implications. Endocrine Practice: Official Journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists, 13, 679-686. [Google Scholar] [CrossRef
[23] Saito, S., Teshima, Y., Fukui, A., et al. (2014) Glucose Fluctuations Increase the Incidence of Atrial Fibrillation in Diabetic Rats. Cardiovascular Research, 104, 5-14. [Google Scholar] [CrossRef] [PubMed]
[24] Henriksson, K.M., Farahmand, B., Johansson, S., Asberg, S., Terent, A. and Edvardsson, N. (2010) Survival after Stroke—The Impact of CHADS2 Score and Atrial Fibrillation. International Journal of Cardiology, 141, 18-23. [Google Scholar] [CrossRef] [PubMed]
[25] Goto, S., Bhatt, D.L., Rother, J., et al. (2008) Prevalence, Clinical Profile, and Cardiovascular Outcomes of Atrial Fibrillation Patients with Atherothrombosis. American Heart Journal, 156, 855-863. [Google Scholar] [CrossRef] [PubMed]
[26] Kim, Y.D., Park, B., Cha, M.J., et al. (2010) Stroke Severity in Concomitant Cardiac Sources of Embolism in Patients with Atrial Fibrillation. Journal of the Neurological Sciences, 298, 23-27. [Google Scholar] [CrossRef] [PubMed]
[27] Hart, R.G., Pearce, L.A., Miller, V.T., et al. (2000) Cardioembolic vs. Noncardioembolic Strokes in Atrial Fibrillation: Frequency and Effect of Antithrombotic Agents in the Stroke Prevention in Atrial Fibrillation Studies. Cerebrovascular Diseases, 10, 39-43. [Google Scholar] [CrossRef] [PubMed]
[28] Evans, A., Perez, I., Yu, G. and Kalra, L. (2001) Should Stroke Subtype Influence Anticoagulation Decisions to Prevent Recurrence in Stroke Patients with Atrial Fibrillation? Stroke, 32, 2828-2832. [Google Scholar] [CrossRef] [PubMed]
[29] Hankey, G.J. and Eikelboom, J.W. (2010) Antithrombotic Drugs for Patients with Ischaemic Stroke and Transient Ischaemic Attack to Prevent Recurrent Major Vascular Events. The Lancet Neurology, 9, 273-284. [Google Scholar] [CrossRef