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Chinese Journal of Cerebrovascular Diseases(Electronic Edition) ›› 2021, Vol. 15 ›› Issue (05): 308-313. doi: 10.11817/j.issn.1673-9248.2021.05.007

• Original Article • Previous Articles     Next Articles

Factors of clot burden and its correlation with clinical outcome in acute ischemic stroke

Xuehong Jin1, Shaofang Pei1, Hong Zhang1, Xiaohan Yao1, Yongquan Gu1()   

  1. 1. Department of Neurology, North District, Suzhou Municipal Hospital, Suzhou 215008, China
  • Received:2021-01-16 Online:2021-10-09 Published:2021-11-01
  • Contact: Yongquan Gu

Abstract:

Objective

To retrospectively analyze the factors influencing clot burden in patients with acute ischemic stroke (AIS) and evaluate the correlation between clot burden and outcome.

Methods

The baseline clinical dates of 88 patients with AIS admitted to North district of Suzhou Municipal Hospital from January 2019 to June 2020 were collected. According to the clot burden score (CBS), the patients were divided into high clot burden group (CBS 0-6) and low clot burden group (CBS 7-10), and the factors influencing CBS were analyzed by univariate analysis and multivariate Logistic regression model. Regional leptomeningeal score (rLMC), imaging characteristics and clinical outcomes were collected, then the correlation between clot burden and clinical outcomes were evaluated by χ2 test and the predictive value of CBS to outcome were calculated by receiver operating characteristic (ROC) curve.

Results

Among the 88 patients, 36 cases (40.9%) were in the high clot burden group and 52 cases (59.1%) were in the low clot burden group. Univariate analysis showed significant differences in history of atrial fibrillation (33.3% vs 13.5%), baseline National Institutes of Health stroke scale (NIHSS) score [11.0 (6.5, 17.5) points vs 9.5(5.5, 14.0) points], time from onset to CT angiography and CT perfusion imaging [380 (190, 525) min vs 408 (180, 610) min], core infarction area [21.62 (15.71, 42.26)ml vs 11.18 (6.18, 14.30) ml] and rLMC [(8.36±2.90) points vs(16.85±1.46) points] between the two groups (χ2=4.926, P=0.026; Z=3.682, P=0.031; Z=3.508, P=0.044; Z=3.115, P=0.039; t=-16.192, P<0.001). Multivariate Logistic regression model analysis showed a history of atrial fibrillation [odds ratio (OR)=1.944, 95% confidence interval (CI): 1.101-2.431; P=0.022], a high baseline NIHSS score (OR=1.326, 95%CI: 1.036-1.696; P=0.025) and larger core infarction area (OR=1.120, 95%CI: 1.011-1.367; P=0.034) were independent risk factors for high clot burden. A high rLMC was inhibitory factor for high clot burden (OR=0.571, 95%CI: 0.372-0.801; P=0.016). The 90-day good outcome in the low clot burden group was significantly more frequent than that in the high clot burden group (42.3% vs 16.7%; χ2=4.947, P=0.026), while the conversion rate of intracerebral hemorrhage in the former group was significantly lower than that in the latter group (1.9% vs 13.9%; χ2=4.794, P=0.029). However, there was no significant difference in all-cause mortality between the two groups (P>0.05). The area under the curve for CBS prediction of clinical outcome was 0.784 (95%CI: 0.606-0.862; P<0.001) with the best cutoff value of 6.5, the sensitivity of 78.1%, and the specificity of 69.4%.

Conclusion

A history of atrial fibrillation, high baseline NIHSS score and large core infarction area volume were independent risk factors, while high rLMC was inhibitory factor for high clot burden in AIS. Patients with low clot burden are more likely to have good outcome, and CBS had a good predictive value for clinical outcome of AIS.

Key words: Acute ischemic stroke, Clot burden, Influencing factors, Outcome

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