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Open Access

Risk stratification in symptomatic intracranial atherosclerotic disease with conventional vascular risk factors and cerebral haemodynamics

Xuan Tian, Hui Fang, Linfang Lan, Hing Lung Ip, Jill Abrigo, Haipeng Liu, Lina Zheng, Florence S Y Fan, Sze Ho Ma, Bonaventure Ip, Bo Song, Yuming Xu, Jingwei Li, Bing Zhang, Yun Xu, Yannie O Y Soo, Vincent Mok, Ka Sing Wong, Thomas W Leung, Xinyi Leng
DOI: 10.1136/svn-2022-001606 Published 14 September 2022
Xuan Tian
1Department of Medicine and Therapeutics, The Chinese University, Hong Kong, China
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Hui Fang
2Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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Linfang Lan
1Department of Medicine and Therapeutics, The Chinese University, Hong Kong, China
3Department of Neurology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
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Hing Lung Ip
1Department of Medicine and Therapeutics, The Chinese University, Hong Kong, China
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Jill Abrigo
4Department of Imaging and Interventional, The Chinese University, Hong Kong, China
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Haipeng Liu
1Department of Medicine and Therapeutics, The Chinese University, Hong Kong, China
5Research Centre of Intelligent Healthcare, Faculty of Health and Life Science, Coventry University, Coventry, UK
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Lina Zheng
1Department of Medicine and Therapeutics, The Chinese University, Hong Kong, China
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Florence S Y Fan
1Department of Medicine and Therapeutics, The Chinese University, Hong Kong, China
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Sze Ho Ma
1Department of Medicine and Therapeutics, The Chinese University, Hong Kong, China
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Bonaventure Ip
1Department of Medicine and Therapeutics, The Chinese University, Hong Kong, China
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Bo Song
2Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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Yuming Xu
2Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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Jingwei Li
6Department of Neurology, Nanjing University Medical School Affiliated Nanjing Drum Tower Hospital, Nanjing, Jiangsu, China
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Bing Zhang
7Department of Radiology, Nanjing University Medical School Affiliated Nanjing Drum Tower Hospital, Nanjing, Jiangsu, China
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Yun Xu
6Department of Neurology, Nanjing University Medical School Affiliated Nanjing Drum Tower Hospital, Nanjing, Jiangsu, China
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Yannie O Y Soo
1Department of Medicine and Therapeutics, The Chinese University, Hong Kong, China
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Vincent Mok
1Department of Medicine and Therapeutics, The Chinese University, Hong Kong, China
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Ka Sing Wong
1Department of Medicine and Therapeutics, The Chinese University, Hong Kong, China
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Thomas W Leung
1Department of Medicine and Therapeutics, The Chinese University, Hong Kong, China
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Xinyi Leng
1Department of Medicine and Therapeutics, The Chinese University, Hong Kong, China
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  • Figure 1
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    Figure 1

    The D2H2A nomogram for SIT within 1 year in sICAS patients receiving optimal medical treatment. To use the D2H2A nomogram, for instance, a 60-year-old (3 points) sICAS patient with a history of hypertension (1 point) and intermediate haemodynamic status of sICAS (7 points) would have 11 points in the D2H2A nomogram, and hence a 5.0% probability of having SIT within 1 year under contemporarily optimal medical treatment. sICAS, symptomatic intracranial atherosclerotic stenosis; SIT, recurrent ischaemic stroke in the same territory.

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    Figure 2

    Calibration plot of the D2H2A nomogram for recurrent ischaemic stroke in the same territory within 1 year.

  • Figure 3
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    Figure 3

    DCA for the three nomograms. The DCA shows the net benefits (y axis) of nomograms to stratify subjects for the risk of an outcome across a range of threshold probabilities of the outcome (x axis). (A) The reference lines (grey and black dashed lines) assume no patient or all patients will have an SIT. The grey and black solid lines illustrate the net benefits of nomograms I and D2H2A in risk stratification of sICAS patients, across a range of threshold probabilities of 1 year SIT (x axis). With an 8% risk of SIT in the study population (red dashed line), nomograms I and D2H2A, respectively, yielded a net benefit of 0.021 and 0.031, suggesting that the D2H2A nomogram would identify 10 more patients at risk of SIT within 1 year per 1000 patients, compared with nomogram I. (B) Similarly, nomograms II and D2H2A, respectively, yielded a net benefit of 0.020 and 0.031, suggesting that the D2H2A nomogram would identify 11 more patients at risk of SIT within 1 year per 1000 patients, compared with nomogram II. DCA, decision curve analysis; sICAS, symptomatic intracranial atherosclerotic stenosis; SIT, recurrent ischaemic stroke in the same territory.

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  • Table 1

    Baseline characteristics of the patients

    CharacteristicsOverall
    N=245
    Primary outcome: recurrent ischaemic stroke in the same territoryP value
    Yes
    (n=20)
    No
    (n=225)
    Age, years0.748
     <5038 (15.5)2 (10.0)36 (16.0)
     ≥50207 (84.5)18 (90.0)189 (84.0)
    Sex0.898
     Female89 (36.3)7 (35.0)82 (36.4)
     Male156 (63.7)13 (65.0)143 (63.6)
    Conventional vascular risk factors
     Current smoking98 (40.0)8 (40.0)90 (40.0)1.000
     Hypertension168 (68.6)16 (80.0)152 (67.6)0.251
     Diabetes85 (34.7)10 (50.0)75 (33.3)0.133
     Dyslipidaemia135 (55.1)15 (75.0)120 (53.3)0.062
     Prior ischaemic stroke/TIA37 (15.1)5 (25.0)32 (14.2)0.198
    Mean blood pressure at admission, mm Hg*0.688
     <110133 (54.3)10 (50.0)123 (54.7)
     ≥110112 (45.7)10 (50.0)102 (45.3)
    Interval from symptom onset to CTA, days6 (3–11)5 (3–16)6 (3–11)0.453
    Severity of luminal stenosis in sICAS0.688
     Moderate (50%–69%)133 (54.3)10 (50.0)123 (54.7)
     Severe (70%–99%)112 (45.7)10 (50.0)102 (45.3)
    Haemodynamic status of sICAS0.004
     Normal101 (41.2)3 (15.0)98 (43.5)
     Intermediate104 (42.5)10 (50.0)94 (41.8)
     Abnormal40 (16.3)7 (35.0)33 (14.7)
    Anterior-circulation sICAS191 (78.0)18 (90.0)173 (76.9)0.261
    Leptomeningeal collateral status in patients with anterior-circulation sICAS†0.065
     Good69 (38.1)10 (58.8)59 (36.0)
     Poor112 (61.9)7 (41.2)105 (64.0)
    • *Mean blood pressure was estimated as 1/3 systolic blood pressure plus 2/3 diastolic blood pressure.

    • †Leptomeningeal collateral status was assessed in 181 patients among the overall 191 patients with anterior-circulation sICAS.

    • CTA, CT angiography; sICAS, symptomatic intracranial atherosclerotic stenosis; TIA, transient ischaemic attack.

  • Table 2

    Logistic regression analyses of the primary outcome

    VariablesUnivariateMultivariate*
    OR95% CIP valueOR95% CIP value
    Age ≥50 years1.710.38 to 7.710.482
    Male1.070.41 to 2.780.898
    Current smoking1.000.39 to 2.541.000
    Hypertension1.920.62 to 5.950.258
    Diabetes2.000.80 to 5.020.139
    Dyslipidaemia2.630.92 to 7.470.0702.971.02 to 8.650.047
    Prior ischaemic stroke/TIA2.010.68 to 5.910.205
    Mean blood pressure at admission ≥110 mm Hg1.210.48 to 3.010.688
    Interval from symptom onset to CTA, days0.990.95 to 1.040.747
    Severe luminal stenosis in sICAS (70%–99%)1.210.48 to 3.010.688
    Haemodynamic status of sICAS
     NormalRef.Ref.
     Intermediate3.480.93 to 13.020.0653.520.93 to 13.270.063
     Abnormal6.931.69 to 28.350.0077.881.89 to 32.870.005
    • *Variables with p<0.1 in univariate logistic regression were included in the multivariate analysis.

    • CTA, CT angiography; sICAS, symptomatic intracranial atherosclerotic stenosis; TIA, transient ischaemic attack.

  • Table 3

    Comparison of nomograms in risk reclassification

    NomogramsContinuous NRI, %Categorical NRI, %IDI, %
    Estimate (95% CI)P valueEstimate (95% CI)P valueEstimate (95% CI)P value
    Comparison 1
    Nomogram I: conventional vascular risk factors only*Ref.<0.001Ref.0.015Ref.0.009
    Nomogram III: the D2H2A nomogram†70.89 (30.84 to 110.94)25.11 (4.83 to 45.39)5.18 (1.29 to 9.08)
    Comparison 2
    Nomogram II: conventional vascular risk factors* + severity of luminal stenosis in sICASRef.<0.001Ref.0.015Ref.0.014
    Nomogram III: the D2H2A nomogram†71.56 (29.52 to 113.59)25.11 (4.83 to 45.39)4.73 (0.96 to 8.5)
    • *Conventional vascular risk factors included age ≥50 years, diabetes, dyslipidaemia and hypertension.

    • †The D2H2A nomogram incorporated diabetes, dyslipidaemia, haemodynamic status of sICAS, hypertension and age ≥50 years.

    • IDI, integrated discrimination improvement; NRI, net reclassification improvement; sICAS, symptomatic intracranial atherosclerotic stenosis.

Supplementary Materials

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    [svn-2022-001606supp001.pdf]

Additional Files

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  • Supplementary Data

    This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

    • Data supplement 1
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Risk stratification in symptomatic intracranial atherosclerotic disease with conventional vascular risk factors and cerebral haemodynamics
Xuan Tian, Hui Fang, Linfang Lan, Hing Lung Ip, Jill Abrigo, Haipeng Liu, Lina Zheng, Florence S Y Fan, Sze Ho Ma, Bonaventure Ip, Bo Song, Yuming Xu, Jingwei Li, Bing Zhang, Yun Xu, Yannie O Y Soo, Vincent Mok, Ka Sing Wong, Thomas W Leung, Xinyi Leng
Stroke and Vascular Neurology Sep 2022, svn-2022-001606; DOI: 10.1136/svn-2022-001606

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Risk stratification in symptomatic intracranial atherosclerotic disease with conventional vascular risk factors and cerebral haemodynamics
Xuan Tian, Hui Fang, Linfang Lan, Hing Lung Ip, Jill Abrigo, Haipeng Liu, Lina Zheng, Florence S Y Fan, Sze Ho Ma, Bonaventure Ip, Bo Song, Yuming Xu, Jingwei Li, Bing Zhang, Yun Xu, Yannie O Y Soo, Vincent Mok, Ka Sing Wong, Thomas W Leung, Xinyi Leng
Stroke and Vascular Neurology Sep 2022, svn-2022-001606; DOI: 10.1136/svn-2022-001606
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Risk stratification in symptomatic intracranial atherosclerotic disease with conventional vascular risk factors and cerebral haemodynamics
Xuan Tian, Hui Fang, Linfang Lan, Hing Lung Ip, Jill Abrigo, Haipeng Liu, Lina Zheng, Florence S Y Fan, Sze Ho Ma, Bonaventure Ip, Bo Song, Yuming Xu, Jingwei Li, Bing Zhang, Yun Xu, Yannie O Y Soo, Vincent Mok, Ka Sing Wong, Thomas W Leung, Xinyi Leng
Stroke and Vascular Neurology Sep 2022, svn-2022-001606; DOI: 10.1136/svn-2022-001606
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