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Current Neurovascular Research

Editor-in-Chief

ISSN (Print): 1567-2026
ISSN (Online): 1875-5739

Research Article

Development of a Nomogram for Predicting Asymptomatic Coronary Artery Disease in Patients with Ischemic Stroke

Author(s): Jie Yang, Xinguang Yang, Jun Wen, Jiayi Huang, Lihong Jiang, Sha Liao, Chun Lian, Haiyan Yao, Li Huang and Youming Long*

Volume 19, Issue 2, 2022

Published on: 22 July, 2022

Page: [188 - 195] Pages: 8

DOI: 10.2174/1574887117666220513104303

open access plus

Abstract

Background: Coronary artery stenosis (CAS) ≥50% often coexists in patients with ischemic stroke, which leads to a significant increase in the occurrence of major vascular events after stroke. This study aimed to develop a nomogram for diagnosing the presence of ≥50% asymptomatic CAS in patients with ischemic stroke.

Methods: A primary cohort was established that included 275 non-cardioembolic ischemic stroke patients who were admitted from January 2011 to April 2013 to a teaching hospital in southern China. The preoperative data were used to construct two models by the best subset regression and the forward stepwise regression methods, and a nomogram between these models was established. The assessment of the nomogram was carried out by discrimination and calibration in an internal cohort.

Results: Out of the two models, model 1 contained eight clinical-related variables and exhibited the lowest Akaike Information Criterion value (322.26) and highest concordance index 0.716 (95% CI, 0.654-0.778). The nomogram showed good calibration and significant clinical benefit according to calibration curves and the decision curve analysis.

Conclusion: The nomogram, composed of age, sex, NIHSS score on admission, hypertension history, fast glucose level, HDL cholesterol level, LDL cholesterol level, and presence of ≥50% cervicocephalic artery stenosis, can be used for prediction of ≥50% asymptomatic coronary artery disease (CAD). Further studies are needed to validate the effectiveness of this nomogram in other populations.

Keywords: Acute ischemic stroke, coronary artery disease, coronary computed tomography angiography, cerebral angiography, nomogram.

[1]
Vos T, Lim SS, Abbafati C, et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2020; 396(10258): 1204-22.
[http://dx.doi.org/10.1016/S0140-6736(20)30925-9] [PMID: 33069326]
[2]
Calvet D, Song D, Yoo J, et al. Predicting asymptomatic coronary artery disease in patients with ischemic stroke and transient ischemic attack: The PRECORIS score. Stroke 2014; 45(1): 82-6.
[http://dx.doi.org/10.1161/STROKEAHA.113.003414] [PMID: 24203840]
[3]
Boulanger M, Béjot Y, Rothwell PM, Touzé E. Long-term risk of myocardial infarction compared to recurrent stroke after transient ischemic attack and ischemic stroke: Systematic review and meta-analysis. J Am Heart Assoc 2018; 7(2): e007267.
[http://dx.doi.org/10.1161/JAHA.117.007267] [PMID: 29348322]
[4]
Lee KJ, Kim SE, Kim JY, et al. Five-year risk of acute myocardial infarction after acute ischemic stroke in korea. J Am Heart Assoc 2021; 10(1): e018807.
[http://dx.doi.org/10.1161/JAHA.120.018807] [PMID: 33372531]
[5]
Boulanger M, Li L, Lyons S, et al. Effect of coexisting vascular disease on long-term risk of recurrent events after TIA or stroke. Neurology 2019; 93(7): e695-707.
[http://dx.doi.org/10.1212/WNL.0000000000007935] [PMID: 31337715]
[6]
Gunnoo T, Hasan N, Khan MS, Slark J, Bentley P, Sharma P. Quantifying the risk of heart disease following acute ischaemic stroke: A meta-analysis of over 50,000 participants. BMJ Open 2016; 6(1): e009535.
[http://dx.doi.org/10.1136/bmjopen-2015-009535] [PMID: 26792217]
[7]
Amarenco P, Lavallée PC, Labreuche J, et al. Coronary artery disease and risk of major vascular events after cerebral infarction. Stroke 2013; 44(6): 1505-11.
[http://dx.doi.org/10.1161/STROKEAHA.111.000142] [PMID: 23598520]
[8]
Roh JW, Kwon BJ, Ihm SH, et al. Predictors of significant coronary artery disease in patients with cerebral artery atherosclerosis. Cerebrovasc Dis 2019; 48(3-6): 226-35.
[http://dx.doi.org/10.1159/000504927] [PMID: 31825937]
[9]
Calvet D, Touzé E, Varenne O, Sablayrolles JL, Weber S, Mas JL. Prevalence of asymptomatic coronary artery disease in ischemic stroke patients: the PRECORIS study. Circulation 2010; 121(14): 1623-9.
[http://dx.doi.org/10.1161/CIRCULATIONAHA.109.906958] [PMID: 20351236]
[10]
Amarenco P, Lavallée PC, Labreuche J, et al. Prevalence of coronary atherosclerosis in patients with cerebral infarction. Stroke 2011; 42(1): 22-9.
[http://dx.doi.org/10.1161/STROKEAHA.110.584086] [PMID: 21088246]
[11]
Yoo J, Yang JH, Choi BW, et al. The frequency and risk of preclinical coronary artery disease detected using multichannel cardiac computed tomography in patients with ischemic stroke. Cerebrovasc Dis 2012; 33(3): 286-94.
[http://dx.doi.org/10.1159/000334980] [PMID: 22286013]
[12]
Harrell FE Jr, Lee KL, Matchar DB, Reichert TA. Regression models for prognostic prediction: advantages, problems, and suggested solutions. Cancer Treat Rep 1985; 69(10): 1071-7.
[PMID: 4042087]
[13]
Wu W, Deng Z, Alafate W, et al. Preoperative prediction nomogram based on integrated profiling for glioblastoma multiforme in glioma patients. Front Oncol 2020; 10: 1750.
[http://dx.doi.org/10.3389/fonc.2020.01750] [PMID: 33194573]
[14]
Adams ST, Leveson SH. Clinical prediction rules. BMJ 2012; 344(1): d8312.
[http://dx.doi.org/10.1136/bmj.d8312] [PMID: 22250218]
[15]
Zhang X, Yuan K, Wang H, et al. Nomogram to predict mortality of endovascular thrombectomy for ischemic stroke despite successful recanalization. J Am Heart Assoc 2020; 9(3): e014899.
[http://dx.doi.org/10.1161/JAHA.119.014899] [PMID: 31973604]
[16]
Zhuang X, Cao D, Yang D, et al. Association of diabetic retinopathy and diabetic macular oedema with renal function in southern Chinese patients with type 2 diabetes mellitus: a single-centre observational study. BMJ Open 2019; 9(9): e031194.
[http://dx.doi.org/10.1136/bmjopen-2019-031194] [PMID: 31494622]
[17]
Jehi L, Yardi R, Chagin K, et al. Development and validation of nomograms to provide individualised predictions of seizure outcomes after epilepsy surgery: a retrospective analysis. Lancet Neurol 2015; 14(3): 283-90.
[http://dx.doi.org/10.1016/S1474-4422(14)70325-4] [PMID: 25638640]
[18]
Choi HY, Shin SJ, Yoo J, et al. Coronary calcium score for the prediction of asymptomatic coronary artery disease in patients with ischemic stroke. Front Neurol 2020; 11: 206.
[http://dx.doi.org/10.3389/fneur.2020.00206] [PMID: 32292387]
[19]
Rozet E, Ziemons E, Marini RD, Hubert P. Usefulness of information criteria for the selection of calibration curves. Anal Chem 2013; 85(13): 6327-35.
[http://dx.doi.org/10.1021/ac400630k] [PMID: 23777474]
[20]
Alkhachroum AM, Miller B, Chami T, Tatsuoka C, Sila C. A troponin study on patients with ischemic stroke, intracerebral hemorrhage and subarachnoid hemorrhage: Type II myocardial infarction is significantly associated with stroke severity, discharge disposition and mortality. J Clin Neurosci 2019; 64: 83-8.
[http://dx.doi.org/10.1016/j.jocn.2019.04.005] [PMID: 31014907]
[21]
Adams HP Jr, Davis PH, Leira EC, et al. Baseline NIH Stroke Scale score strongly predicts outcome after stroke: A report of the Trial of Org 10172 in Acute Stroke Treatment (TOAST). Neurology 1999; 53(1): 126-31.
[http://dx.doi.org/10.1212/WNL.53.1.126] [PMID: 10408548]
[22]
Adams RJ, Chimowitz MI, Alpert JS, et al. Coronary risk evaluation in patients with transient ischemic attack and ischemic stroke: a scientific statement for healthcare professionals from the Stroke council and the council on clinical cardiology of the american heart association/american stroke association. Stroke 2003; 34(9): 2310-22.
[http://dx.doi.org/10.1161/01.STR.0000090125.28466.E2] [PMID: 12958318]
[23]
La Sala L, Prattichizzo F, Ceriello A. The link between diabetes and atherosclerosis. Eur J Prev Cardiol 2019; 26(2) (Suppl.): 15-24.
[http://dx.doi.org/10.1177/2047487319878373] [PMID: 31722564]
[24]
Xu Y, Bi Y, Li M, et al. Significant coronary stenosis in asymptomatic Chinese with different glycemic status. Diabetes Care 2013; 36(6): 1687-94.
[http://dx.doi.org/10.2337/dc12-0977] [PMID: 23462666]
[25]
Gui MH, Li X, Lu ZQ, Gao X. Fasting plasma glucose correlates with angiographic coronary artery disease prevalence and severity in Chinese patients without known diabetes. Acta Diabetol 2013; 50(3): 333-40.
[http://dx.doi.org/10.1007/s00592-012-0405-2] [PMID: 22684266]
[26]
Lee JS, Chang PY, Zhang Y, Kizer JR, Best LG, Howard BV. Triglyceride and hdl-c dyslipidemia and risks of coronary heart disease and ischemic stroke by glycemic dysregulation status: The strong heart study. Diabetes Care 2017; 40(4): 529-37.
[http://dx.doi.org/10.2337/dc16-1958] [PMID: 28122840]
[27]
Qie R, Liu L, Zhang D, et al. Dose–response association between high-density lipoprotein cholesterol and stroke: A systematic review and meta-analysis of prospective cohort studies. Prev Chronic Dis 2021; 18E45
[http://dx.doi.org/10.5888/pcd18.200278] [PMID: 33988499]
[28]
Saito I, Yamagishi K, Kokubo Y, et al. Association of high-density lipoprotein cholesterol concentration with different types of stroke and coronary heart disease: The Japan public health center-based prospective (JPHC) study. Atherosclerosis 2017; 265: 147-54.
[http://dx.doi.org/10.1016/j.atherosclerosis.2017.08.032] [PMID: 28888808]

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