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. 2023 Sep;8(3):738-746.
doi: 10.1177/23969873231182492. Epub 2023 Jun 19.

Diagnostic value of carotid intima-media thickness and clinical risk scores in determining etiology of ischemic stroke

Esther Mw Sievering  1 , Anika Grosshennig  2 , Martina Kottas  2 , Johanna Ernst  1 , Rieke Ringlstetter  2 , Armin Koch  2 , Karin Weissenborn  1 , Gerrit M Grosse  1
Affiliations

Diagnostic value of carotid intima-media thickness and clinical risk scores in determining etiology of ischemic stroke

Esther Mw Sievering et al. Eur Stroke J. 2023 Sep.

Abstract

Background: In the general population, carotid intima-media thickness (CIMT) is associated with atherosclerosis as well as atrial fibrillation (AF). However, the extent to which CIMT might be of diagnostic value in clarifying stroke etiology is currently unclear.

Methods: In this retrospective cohort study, we included 800 consecutive patients with acute ischemic stroke. We compared CIMT-values between stroke etiologies. The association between CIMT and cardioembolic stroke was investigated via logistic regression analysis adjusting for vascular risk factors. Receiver operating characteristic analyses were conducted to investigate the diagnostic value of CIMT in comparison to vascular risk factors and clinical AF risk scores (CHA2DS2VASc, HAVOC, and AS5F).

Results: CIMT-values were highest in patients with cardioembolic or atherosclerotic stroke origin. CIMT was associated with newly diagnosed AF compared against cryptogenic strokes (crude odds ratio (OR) per 0.1 mm-increase of CIMT: 1.26 (95% confidence interval (CI): 1.13-1.41)). After adjustment for vascular risk factors, the effect of CIMT on AF-diagnosis, however, was weakened (adjusted OR: 1.10 (95% CI: 0.97-1.25)). The diagnostic value of CIMT for detection of AF (AUC: 0.60, 95% CI: 0.54-0.65) was outperformed by AF risk scores. Among the scores investigated, the AS5F-score yielded best accuracy and calibration to predict newly diagnosed AF (AUC: 0.71, 95% CI: 0.65-0.78).

Conclusions: CIMT may help in the diagnosis of stroke etiology. However, compared with vascular risk factors or clinical AF risk scores, CIMT does not provide substantial additional information on the risk of newly detected AF. Thus, stratification of AF risk based on scores, such as the AS5F, is advisable.

Keywords: Atrial fibrillation; carotid intima-media thickness; diagnosis; embolic stroke of undetermined source; stroke etiology.

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Conflict of interest statement

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Boxplots depicting the distribution of mean carotid intima-media thickness (CIMT) values in patients with different stroke etiologies: (a) Mean CIMT of the entire cohort with different stroke etiologies according to the Trial of ORG 10,172 in Acute Stroke Treatment (TOAST) criteria, that is, small vessel disease (SVD), large artery atherosclerosis (LAA), cardioembolic stroke (CES), cryptogenic (Cry), other, or stroke with concurrent etiologies (Conc.). p < 0.001 according to Kruskall-Wallis test and (b) Comparison of the mean CIMT values between patients who met the criteria for an embolic stroke pattern with different stroke etiologies according to the Trial of ORG 10,172 in Acute Stroke Treatment (TOAST) criteria. p < 0.001 according to Kruskall-Wallis test.
Figure 2.
Figure 2.
Forest plot indicating adjusted odds ratios (OR) and respective 95% confidence intervals of CIMT and vascular risk factors for stroke etiology (CES vs cryptogenic stroke).
Figure 3.
Figure 3.
ROC-analyses for comparing the diagnostic value of clinical AF risk scores (CHA2DS2VASc (a), AS5F (b), HAVOC score (c) in terms of predicting newly diagnosed AF in patients with embolic stroke imaging pattern.
Figure 4.
Figure 4.
Comparison of the mean carotid intima-media thickness (CIMT) according to prevalence of small-vessel-disease (SVD) (a) and burden of white matter hyperintensities (WMH), as evaluated using the Fazekas classification (b).
See this image and copyright information in PMC

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