Skip to main content

ORIGINAL RESEARCH article

Front. Neurol., 03 April 2023
Sec. Stroke
This article is part of the Research Topic Post-Stroke Complications: Mechanisms, Diagnosis, and Therapies View all 20 articles

Associations between computed tomography markers of cerebral small vessel disease and hemorrhagic transformation after intravenous thrombolysis in acute ischemic stroke patients

  • 1Department of Neurology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
  • 2Department of Neurology, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China

Background: Hemorrhagic transformation (HT) is common among acute ischemic stroke patients after treatment with intravenous thrombolysis (IVT). We analyzed potential relationships between markers of cerebral small vessel disease (CSVD) and HT in patients after IVT.

Methods: This study retrospectively analyzed computed tomography (CT) data for acute ischemic stroke patients before and after treatment with recombinant tissue plasminogen activator at a large Chinese hospital between July 2014 and June 2021. Total CSVD score were summed by individual CSVD markers including leukoaraiosis, brain atrophy and lacune. Binary regression analysis was used to explore whether CSVD markers were related to HT as the primary outcome or to symptomatic intracranial hemorrhage (sICH) as a secondary outcome.

Results: A total of 397 AIS patients treated with IVT were screened for inclusion in this study. Patients with missing laboratory data (n = 37) and patients treated with endovascular therapy (n = 42) were excluded. Of the 318 patients included, 54 (17.0%) developed HT within 24–36 h of IVT, and 14 (4.3%) developed sICH. HT risk was independently associated with severe brain atrophy (OR 3.14, 95%CI 1.43–6.92, P = 0.004) and severe leukoaraiosis (OR 2.41, 95%CI 1.05–5.50, P = 0.036), but not to severe lacune level (OR 0.58, 95%CI 0.23–1.45, P = 0.250). Patients with a total CSVD burden ≥1 were at higher risk of HT (OR 2.87, 95%CI 1.38–5.94, P = 0.005). However, occurrence of sICH was not predicted by CSVD markers or total CSVD burden.

Conclusion: In patients with acute ischemic stroke, severe leukoaraiosis, brain atrophy and total CSVD burden may be risk factors for HT after IVT. These findings may help improve efforts to mitigate or even prevent HT in vulnerable patients.

Introduction

Ischemic strokes account for 71% of strokes worldwide (1). The preferred treatment for patients with acute ischemic stroke (AIS) is intravenous thrombolysis (IVT) using recombinant tissue plasminogen activator within 4.5 h of onset (2, 3). However, such IVT may cause hemorrhagic transformation (HT), which impedes functional recovery and can even lead to death (4). About 90% of HT cases occur within 24–36 h of stroke onset (5). Some factors have been associated with the development of HT, such as old age (6, 7), hypertension (7), atrial fibrillation (8), cerebral amyloid angiopathy (911) and high National Institutes of Health Stroke Scale (NIHSS) score (12, 13).

Cerebral small vessel disease (CSVD) is a disorder involving the brain's small perforating arterioles, capillaries and venules, and is attracting much interest (14). It leads to serious deterioration of cognitive function, gait and balance (15), and may worsen prognosis of AIS patients after IVT (15). A meta-analysis also linked HT risk to the presence of CSVD (16). Magnetic resonance imaging is the gold standard for diagnosing and assessing CSVD (17), but computed tomography (CT) is routinely used in many acute stroke units to identify patients suitable for acute treatments such as IVT. Computed tomography can assess several CSVD markers, including leukoaraiosis, lacune and brain atrophy (17). These markers may be useful for identifying patients at higher risk of intracerebral hemorrhage (18). Although magnetic resonance imaging is typically used to evaluate CSVD markers, CT offers faster assessment, which can be critical in time-sensitive situations such as IVT for AIS (19).

Studies about the association between CSVD markers based on CT and HT are rare. Thus we investigated the relationship between CSVD markers as detected by CT at stroke onset and risk of HT after IVT treatment.

Methods

Patients

This retrospective, observational, single-center study continuously collected clinical data of AIS patients treated with recombinant tissue plasminogen activator in the emergency department of the Second Affiliated Hospital of Wenzhou Medical University from July 2014 to June 2021. This study was approved by the ethics committee of the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, which waived the requirement for written informed consent because the patients or their legal guardians, at the time of treatment, consented for their anonymized medical data to be analyzed and published for research purposes.

Patients were included in the study if they had been diagnosed with ischemic stroke according to the Chinese guidelines for the diagnosis and treatment of acute ischemic stroke, received 0.9 mg/kg of recombinant tissue plasminogen activator within 4.5 h of stroke onset, and underwent head CT before IVT at admission and within 24–36 h after IVT. The timeframe of 24–36 h after IVT was selected based on the European Cooperative Acute Stroke Study (20).

Patients were excluded if they were diagnosed with other central nervous system diseases, such as epilepsy, dementia, or Parkinson's disease; diagnosed with serious systemic diseases; or treated with endovascular therapy after IVT.

Data collection

In addition to sex and age, the following data were extracted from electronic medical records: past medical history, including hypertension, diabetes, hyperlipidemia, atrial fibrillation, coronary heart disease, previous stroke history, smoking and drinking history, and previous antithrombotic drug treatment history; clinical parameters, such as systolic and diastolic blood pressure, NIHSS score, and time from onset to thrombolytic therapy; as well as laboratory data, such as venous blood glucose level at admission, international normalized ratio (INR), activated partial thrombin time (APTT), platelet count, total cholesterol and low-density lipoprotein cholesterol.

CSVD assessment

Two experienced neurologists (ZZ, TX), who were blinded to other clinical information and who worked independently from each other, retrospectively assessed CSVD markers from CT scans. Discrepancies between investigators were addressed with a third investigator (ZH) joining the discussion. Disputes were resolved through discussion. Leukoaraiosis was scored according to the 3-point van Swieten scale (21), in which 0 points were given if no imaging evidence was observed, 1 point if the lesions were limited to the lateral ventricle, or 2 points if the lesions had spread from the lateral ventricle to the cerebral cortex.

Brain atrophy was classified as central or cortical, and its severity was assessed as none (0 point), mild to moderate (1 point) or severe (2 points) (22). We defined a “lacuna of presumed vascular origin” to be a round or ovoid, subcortical cavity of diameter 3–15 mm that was filled with a fluid similar in appearance to cerebrospinal fluid (19).

The scores for these individual CSVD markers were summed to a total CSVD score (23), meaning that 1 point for each of the following situations exist: a van Swieten score of 2; presence of at least 2 lacune; a central or cortical brain atrophy score of 2. Thus, the total CSVD burden could range from 0 (no imaging features of severe CSVD) to 3 (each imaging feature of CSVD was serious) (Figure 1).

FIGURE 1
www.frontiersin.org

Figure 1. Axial non-contrast-enhanced CT images of brains from patients after acute ischemic stroke at the level of choroid plexus (A, C, E, G) or semioval center (B, D, F, H) of the lateral ventricle. Cerebral small-vessel disease (CSVD) markers were individually assessed and graded according to the appropriate scales, and total CSVD burden was calculated. Images in (A, B) are representative of patients with total CSVD burden of 0: anterior leukoaraiosis = 0, posterior leukoaraiosis = 0, no lacune, central atrophy = 0, cortical atrophy = 0. Images in (C, D) are representative of patients with total CSVD burden of 1: anterior leukoaraiosis = 1, posterior leukoaraiosis = 1, no lacune, central atrophy = 2, cortical atrophy = 1. Images in (E, F) are representative of patients with total CSVD burden of 2: anterior leukoaraiosis = 2, posterior leukoaraiosis = 2, no lacune, central atrophy = 2, cortical atrophy = 1. Images in (G, H) are representative of patients with total CSVD burden of 3: anterior leukoaraiosis = 2, posterior leukoaraiosis = 1, lacune in left and right basal ganglia = 2, central atrophy = 2, cortical atrophy = 2.

Primary and secondary outcomes

The same two neurologists also independently evaluated the CT images for the presence of HT as a primary outcome, which encompasses all types of post-ischemic hemorrhages. HT was further classified as hemorrhagic infarction (HI) types I and II and parenchymal hemorrhage (PH) types I and II. HI I is defined as small petechiae along the margins of the infarct, while HI II represents more confluent petechiae within the infarcted area, but without space-occupying effect. PH I is defined as blood clot not exceeding 30% of the infarcted area with some mild space-occupying effect, and PH II represents dense blood clot(s) exceeding 30% of the infarct volume with significant space-occupying effect (20).

The secondary outcome was symptomatic intracerebral hemorrhage (sICH), which was defined as bleeding visible anywhere on the cranial scan, accompanied by clinical deterioration or adverse events, such as drowsiness or aggravation of hemiplegia, leading to an increase in NIHSS score ≥4 points (24).

Statistical analysis

Categorical variables were reported as frequencies and percentages, while continuous variables were reported as mean and standard deviation if the data were normally distributed, or as median and interquartile range if the data were skewed. Pearson's chi-squared test or Fisher's precision probability test was used for unordered categorical variables, while the Mann-Whitney U test was used if the data were continuous.

Binary regression analysis was used for two multivariable models in which variables with P < 0.1 after univariate analysis were analyzed further to determine risk factors independently related to HT or sICH. In the first model, the three components of total CSVD score (severe anterior or posterior leukoaraiosis, severe central or cortical atrophy, and severe lacune level) were treated as separate covariates. In the second model, the total burden of CSVD was dichotomized into 0 or ≥1 to evaluate its potential association with risk of HT. Risk of HT was expressed in terms of adjusted odds ratios (ORs) and corresponding 95% confidence intervals (CIs). Differences associated with two-sided P < 0.05 were considered statistically significant. All statistical analyses were performed using SPSS 24.0 (IBM, Armonk, NY, USA).

Results

Clinicodemographic characteristics

A total of 397 AIS patients treated with IVT were screened for inclusion in this study. After excluding patients with missing laboratory data (n = 37) and patients treated with endovascular therapy (n = 42), 318 patients (66.4% men) were included in the final analysis (Figure 2).

FIGURE 2
www.frontiersin.org

Figure 2. Flow diagram of patient enrollment. AIS, acute ischemic stroke.

Excellent inter-rater agreement for CSVD rating (κ = 0.83) was observed. The included sample had a median age of 70 years (interquartile range 61–80, Table 1). Fifty-four (17.0%) patients developed HT within 24–36 h after IVT. HT was significantly more frequent among patients with atrial fibrillation (66.7% vs. 25.4%, P < 0.001), higher median NIHSS score (11 vs. 6, P < 0.001), higher median baseline diastolic blood pressure (92 vs. 87, P = 0.045) and higher median INR (1.04 vs. 1.02, P = 0.007). And TOAST classification also had statistical significance (P < 0.001).

TABLE 1
www.frontiersin.org

Table 1. Clinicodemographic characteristics of acute ischemic stroke patientsa.

Associations of CSVD markers with HT

Compared to patients who did not suffer from HT, patients with HT showed higher incidence of severe anterior and posterior leukoaraiosis, severe central and cortical atrophy, and greater total CSVD burden (Tables 2, 3). There was no significant difference in lacune level between HT and non-HT patients (P = 0.984).

TABLE 2
www.frontiersin.org

Table 2. Regression analysis to identify associations of clinicodemographic characteristics with risk of hemorrhagic transformation after intravenous thrombolysisa.

TABLE 3
www.frontiersin.org

Table 3. Regression analysis to identify associations of clinicodemographic characteristics with risk of hemorrhagic transformation after intravenous thrombolysisa.

Risk of HT was independently related to severe brain atrophy (OR 3.14, 95%CI 1.43–6.92, P = 0.004) and severe leukoaraiosis scores (OR 2.41, 95%CI 1.05–5.50, P = 0.036), but not to severe lacune level (OR 0.58, 95%CI 0.23–1.45, P = 0.250). A total CSVD burden of ≥1 greatly increased risk of HT (OR 2.87, 95%CI 1.38–5.94, P = 0.005). According to either regression model, risk of HT was also higher in the presence of atrial fibrillation or high baseline NIHSS score.

Associations of CSVD markers with secondary outcomes

Fourteen (4.3%) patients experienced sICH after IVT, and those who did or did not experience sICH did not differ significantly in severe leukoaraiosis, brain atrophy or lacune level (Supplementary Table S1). Total CSVD burden ≥1 was not associated with greater risk of sICH after IVT. Atrial fibrillation, in contrast, was more frequent among patients with sICH (71.4% vs. 30.6%, P = 0.001, Supplementary Table S1) and it predicted sICH risk even after adjusting for individual CSVD markers (OR 4.65, 95%CI 1.27–16.95, P = 0.020) or adjusting for total CSVD burden (OR 4.23, 95%CI 1.20–14.88, P = 0.024; Supplementary Tables S2, S3).

Discussion

To our knowledge, this is the first retrospective study to investigate the relationship between CSVD markers, as visualized by CT, and risk of HT in AIS patients after IVT. Our results suggest that severe leukoaraiosis, severe brain atrophy and total CSVD burden in AIS patients prior to IVT are independently associated with increased risk of HT after IVT.

Several studies have already shown strong links between presence of leukoaraiosis and hemorrhage after IVT, but the reasons for this correlation are unclear (16, 2528). Leukoaraiosis is thought to reflect ischemic white matter injury penetrating small vessels in the distal deep artery or arteriole area, which may reflect chronic endothelial dysfunction (29). At the same time, leukoaraiosis may increase small vessel brittleness and vascular rupture, leading to bleeding complications and breakdown of the blood-brain barrier (29, 30). Inflammation in the central nervous system or its periphery as well as variations in blood pressure may also contribute to leukoaraiosis pathogenesis (3136).

Similar to leukoaraiosis, brain atrophy has also been associated with HT, though the mechanisms are unclear. One possibility is that brain atrophy in AIS patients at least partly reflects pre-existing brain injury due, for example, to degenerative processes in dementia or subcortical vascular encephalopathy (37). Our study is consistent with earlier work showing that brain atrophy and other markers may reflect risk of intracerebral hemorrhage (38). In contrast, we did not find a significant relationship between lacune level and risk of HT, similar to the few other studies that have examined this question (39, 40).

It is clear that there is no single pathological mechanism explaining how leukoaraiosis or brain atrophy leads to HT after IVT. We found that the aggregate parameter of total CSVD burden, when it was 1 or higher, predicted higher risk of HT after IVT. Total CSVD burden provides a more complete view of the impact of CSVD on the brain, more so than individual CSVD features, and it may be easier to use in the clinic. It may also facilitate comparisons between medical centers, so long as the definitions of single CSVD features are standardized (19). Arguments could be made that the potential differences in the pathogenic mechanisms leading to these different CSVD features may render an aggregate index unreliable. However, we would reason that leukoaraiosis, brain atrophy, and lacune are all consequences of small vessel diseases and often occur simultaneously, allowing their aggregation into a single, more practical index that does not make detailed assumptions about specific pathogenic mechanisms. The reliability and accuracy of total CSVD burden for predicting HT risk should be examined further in larger studies and benchmarked against magnetic resonance imaging.

We did not find that CSVD markers alone or total CSVD burden predicted increased risk of sICH. A meta-analysis of 13 studies found that presence of leukoaraiosis or total CSVD burden increased risk of sICH after IVT (16). However, only two of those individual studies evaluated CSVD markers through CT. The remaining studies used magnetic resonance imaging because it is better at detecting cerebral microbleeds, which are closely related to sICH (18). This may help explain why we failed to detect correlations between CSVD markers and sICH. Another obstacle to comparing our findings to the literature is that different studies can define sICH differently (28, 41).

This study has some limitations. First, our study was retrospective and included a small sample from a single center. Second, we did not collect additional data relevant to prognosis, such as the modified Rankin scale score after 3 months, which may help clarify relationships between CSVD markers and HT.

Despite these limitations, our results suggest that AIS patients with severe leukoaraiosis, severe brain atrophy and total CSVD burden >1 based on CT before IVT are at increased risk of HT after IVT. These parameters might be useful markers to identity patients with high risk of HT and assist the treatment decision-making, thus it should be verified and further explored in larger, prospective studies.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Author contributions

ZZ, TX, and ZH conceived and designed the study. TX, FF, ZC, LX, YW, and YC performed experiments. ZZ analyzed data. ZZ and ZH wrote the manuscript. All authors revised the manuscript and approved the final version.

Funding

This work was supported by Clinical Scientific Research Foundation of the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University (SAHoWMU-CR2017-01-212 to ZH).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fneur.2023.1144564/full#supplementary-material

References

1. Campbell BCV, De Silva DA, Macleod MR, Coutts SB, Schwamm LH, Davis SM, et al. Ischaemic stroke. Nat Rev Dis Primers. (2019) 5:70. doi: 10.1038/s41572-019-0118-8

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Emberson J, Lees KR, Lyden P, Blackwell L, Albers G, Bluhmki E, et al. Effect of treatment delay, age, and stroke severity on the effects of intravenous thrombolysis with alteplase for acute ischaemic stroke: a meta-analysis of individual patient data from randomised trials. Lancet. (2014) 384:1929–35. doi: 10.1016/S0140-6736(14)60584-5

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Hacke W, Kaste M, Bluhmki E, Brozman M, Dávalos A, Guidetti D, et al. Thrombolysis with alteplase 3–45 h after acute ischemic stroke. N Engl J Med. (2008) 359:1317–29. doi: 10.1056/NEJMoa0804656

PubMed Abstract | CrossRef Full Text | Google Scholar

4. He J, Fu F, Zhang W, Zhan Z, Cheng Z. Prognostic significance of the clinical and radiological haemorrhage transformation subtypes in acute ischaemic stroke: a systematic review and meta-analysis. Eur J Neurol. (2022) 29:3449–59. doi: 10.1111/ene.15482

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Strbian D, Sairanen T, Meretoja A, Pitkaniemi J, Putaala J, Salonen O, et al. Patient outcomes from symptomatic intracerebral hemorrhage after stroke thrombolysis. Neurology. (2011) 77:341–8. doi: 10.1212/WNL.0b013e3182267b8c

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Okada Y, Yamaguchi T, Minematsu K, Miyashita T, Sawada T, Sadoshima S, et al. Hemorrhagic transformation in cerebral embolism. Stroke. (1989) 20:598–603.

Google Scholar

7. Whiteley W, Slot K, Fernandes P, Sandercock P, Wardlaw J. Risk factors for intracranial hemorrhage in acute ischemic stroke patients treated with recombinant tissue plasminogen activator: a systematic review and meta-analysis of 55 studies. Stroke. (2012) 43:2904–9. doi: 10.1161/STROKEAHA.112.665331

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Fisher M, Adams R. Observations on brain embolism with special reference to the mechanism of hemorrhagic infarction. J Neuropathol Exp Neurol. (1951) 10:92–4.

Google Scholar

9. Charidimou A, Nicoll J, McCarron M. Thrombolysis-related intracerebral hemorrhage and cerebral amyloid angiopathy: accumulating evidence. Front Neurol. (2015) 6:99. doi: 10.3389/fneur.2015.00099

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Eriguchi M, Yakushiji Y, Tanaka J, Nishihara M, Hara H. Thrombolysis-related multiple lobar hemorrhaging in cerebral amyloid angiopathy with extensive strictly lobar cerebral microbleeding. Intern Med. (2017) 56:1907–10. doi: 10.2169/internalmedicine.56.8007

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Vales-Montero M, García-Pastor A, Iglesias-Mohedano A, Esteban-de Antonio E, Salgado-Cámara P, García-Domínguez J, et al. Cerebral amyloid angiopathy-related transient focal neurological episodes: a transient ischemic attack mimic with an increased risk of intracranial hemorrhage. J Neurol Sci. (2019) 406:116452. doi: 10.1016/j.jns.2019.116452

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Ge WQ, Chen J, Pan H, Chen F, Zhou CY. Analysis of risk factors increased hemorrhagic transformation after acute ischemic stroke. J Stroke Cerebrovasc Dis. (2018) 27:3587–90. doi: 10.1016/j.jstrokecerebrovasdis.2018.08.028

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Tan S, Wang D, Liu M, Zhang S, Wu B, Liu B. Frequency and predictors of spontaneous hemorrhagic transformation in ischemic stroke and its association with prognosis. J Neurol. (2014) 261:905–12. doi: 10.1007/s00415-014-7297-8

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Wardlaw JM, Smith C, Dichgans M. Small vessel disease: mechanisms and clinical implications. Lancet Neurol. (2019) 18:684–96. doi: 10.1016/S1474-4422(19)30079-1

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Pantoni L. Cerebral small vessel disease: from pathogenesis and clinical characteristics to therapeutic challenges. Lancet Neurol. (2010) 9:689–701. doi: 10.1016/S1474-4422(10)70104-6

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Wang Y, Yan X, Zhan J, Zhang P, Zhang G, Ge S, et al. Neuroimaging markers of cerebral small vessel disease on hemorrhagic transformation and functional outcome after intravenous thrombolysis in patients with acute ischemic stroke: a systematic review and meta-analysis. Front Aging Neurosci. (2021) 13:692942. doi: 10.3389/fnagi.2021.692942

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Chen X, Wang J, Shan Y, Cai W, Liu S, Hu M, et al. Cerebral small vessel disease: neuroimaging markers and clinical implication. J Neurol. (2019) 266:2347–62. doi: 10.1007/s00415-018-9077-3

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Cheng Z, Zhang W, Zhan Z, Xia L, Han Z. Cerebral small vessel disease and prognosis in intracerebral haemorrhage: a systematic review and meta-analysis of cohort studies. Eur J Neurol. (2022) 29:2511–25. doi: 10.1111/ene.15363

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Wardlaw JM, Smith EE, Biessels GJ, Cordonnier C, Fazekas F, Frayne R, et al. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol. (2013) 12:822–38. doi: 10.1016/S1474-4422(13)70124-8

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Hacke W, Kaste M, Fieschi C, Toni D, Lesaffre E, von Kummer R, et al. Intravenous thrombolysis with recombinant tissue plasminogen activator for acute hemispheric stroke. The European Cooperative Acute Stroke Study (ECASS). JAMA. (1995) 274:1017–25.

PubMed Abstract | Google Scholar

21. van Swieten J, Hijdra A, Koudstaal P, van Gijn J. Grading white matter lesions on CT and MRI: a simple scale. J Neurol Neurosurg Psychiatry. (1990) 53:1080–3.

PubMed Abstract | Google Scholar

22. IST-3 Collaborative Group. Association between brain imaging signs, early and late outcomes, and response to intravenous alteplase after acute ischaemic stroke in the third International Stroke Trial (IST-3): secondary analysis of a randomised controlled trial. Lancet Neurol. (2015) 14:485–96. doi: 10.1016/S1474-4422(15)00012-5

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Arba F, Mair G, Carpenter T, Sakka E, Sandercock PAG, Lindley RI, et al. Cerebral white matter hypoperfusion increases with small-vessel disease burden data from the third international stroke trial. J Stroke Cerebrovasc Dis. (2017) 26:1506–13. doi: 10.1016/j.jstrokecerebrovasdis.2017.03.002

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Hacke W, Kaste M, Fieschi C, von Kummer R, Davalos A, Meier D, et al. Randomised double-blind placebo-controlled trial of thrombolytic therapy with intravenous alteplase in acute ischaemic stroke (ECASS II). Lancet. (1998) 352:1245–51.

PubMed Abstract | Google Scholar

25. Bivard A, Cheng X, Lin LT, Levi C, Spratt N, Kleinig T, et al. Global white matter hypoperfusion on CT predicts larger infarcts and hemorrhagic transformation after acute ischemia. CNS Neurosci Ther. (2016) 22:238–43. doi: 10.1111/cns.12491

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Curtze S, Haapaniemi E, Melkas S, Mustanoja S, Putaala J, Sairanen T, et al. White matter lesions double the risk of post-thrombolytic intracerebral hemorrhage. Stroke. (2015) 46:2149–55. doi: 10.1161/STROKEAHA.115.009318

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Liu Y, Zhang M, Gao P, Zhang Z, Zhou X, Yun W. Influence of intravenous thrombolysis on prognosis of acute ischemic stroke in patients with moderate to severe leukoaraiosis. Zhonghua yi xue za zhi. (2018) 98:998–1002. doi: 10.3760/cma.j.issn.0376-2491.2018.13.009

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Charidimou A, Pasi M, Fiorelli M, Shams S, von Kummer R, Pantoni L, et al. Leukoaraiosis, cerebral hemorrhage, and outcome after intravenous thrombolysis for acute ischemic stroke: a meta-analysis (v1). Stroke. (2016) 47:2364–72. doi: 10.1161/STROKEAHA.116.014096

PubMed Abstract | CrossRef Full Text | Google Scholar

29. del Zoppo G, von Kummer R, Hamann G. Ischaemic damage of brain microvessels: inherent risks for thrombolytic treatment in stroke. J Neurol Neurosurg Psychiatry. (1998) 65:1–9.

PubMed Abstract | Google Scholar

30. Aries MJ, Uyttenboogaart M, Vroomen PC, De Keyser J, Luijckx GJ. tPA treatment for acute ischaemic stroke in patients with leukoaraiosis. Eur J Neurol. (2010) 17:866–70. doi: 10.1111/j.1468-1331.2010.02963.x

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Jurcau A, Simion A. Neuroinflammation in cerebral ischemia and ischemia/reperfusion injuries: from pathophysiology to therapeutic strategies. Int J Molecul Sci. (2021) 23:14. doi: 10.3390/ijms23010014

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Evans L, Taylor J, Smith C, Pritchard H, Greenstein A, Allan S. Cardiovascular comorbidities, inflammation, and cerebral small vessel disease. Cardiovasc Res. (2021) 117:2575–88. doi: 10.1093/cvr/cvab284

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Riba-Llena I, Jarca C, Mundet X, Tovar J, Orfila F, López-Rueda A, et al. Investigating silent strokes in hypertensives: a magnetic resonance imaging study (ISSYS): rationale and protocol design. BMC Neurol. (2013) 13:130. doi: 10.1186/1471-2377-13-130

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Jickling G, Liu D, Stamova B, Ander B, Zhan X, Lu A, et al. Hemorrhagic transformation after ischemic stroke in animals and humans. J Cerebral Blood Flow Metabol Off J Int Soc Cerebral Blood Flow Metabol. (2014) 34:185–99. doi: 10.1038/jcbfm.2013.203

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Charidimou A, Kakar P, Fox Z, Werring D. Cerebral microbleeds and the risk of intracerebral haemorrhage after thrombolysis for acute ischaemic stroke: systematic review and meta-analysis. J Neurol Neurosurg Psychiatry. (2013) 84:277–80. doi: 10.1136/jnnp-2012-303379

PubMed Abstract | CrossRef Full Text | Google Scholar

36. de Heus R, Reumers S, van der Have A, Tumelaire M, Tully P, Claassen J. Day-to-day home blood pressure variability is associated with cerebral small vessel disease burden in a memory clinic population. J Alzheimer's Dis JAD. (2020) 74:463–72. doi: 10.3233/JAD-191134

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Herweh C, Prager E, Sykora M, Bendszus M. Cerebral atrophy is an independent risk factor for unfavorable outcome after spontaneous supratentorial intracerebral hemorrhage. Stroke. (2013) 44:968–71. doi: 10.1161/STROKEAHA.111.670901

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Rodrigues MA, E-Samarasekera N, Lerpiniere C, Perry LA, Moullaali TJ, Loan J, et al. Association between computed tomographic biomarkers of cerebral small vessel diseases and long-term outcome after spontaneous intracerebral hemorrhage. Ann Neurol. (2021) 89:266–79. doi: 10.1002/ana.25949

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Sato S, Delcourt C, Heeley E, Arima H, Zhang S, Al-Shahi Salman R, et al. Significance of cerebral small-vessel disease in acute intracerebral hemorrhage. Stroke. (2016) 47:701–7. doi: 10.1161/STROKEAHA.115.012147

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Arba F, Inzitari D, Ali M, Warach SJ, Luby M, Lees KR, et al. Small vessel disease and clinical outcomes after IV rt-PA treatment. Acta Neurol Scand. (2017) 136:72–7. doi: 10.1111/ane.12745

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Wang S, Lv Y, Zheng X, Qiu J, Chen H. The impact of cerebral microbleeds on intracerebral hemorrhage and poor functional outcome of acute ischemic stroke patients treated with intravenous thrombolysis: a systematic review and meta-analysis. J Neurol. (2017) 264:1309–19. doi: 10.1007/s00415-016-8339-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: acute ischemic stroke, intravenous thrombolysis, hemorrhagic transformation, brain atrophy, cerebral small vessel disease, leukoaraiosis

Citation: Zhan Z, Xu T, Xu Y, Fu F, Cheng Z, Xia L, Wu Y, Xu X, Cao Y and Han Z (2023) Associations between computed tomography markers of cerebral small vessel disease and hemorrhagic transformation after intravenous thrombolysis in acute ischemic stroke patients. Front. Neurol. 14:1144564. doi: 10.3389/fneur.2023.1144564

Received: 14 January 2023; Accepted: 20 March 2023;
Published: 03 April 2023.

Edited by:

Yinong Huang, Sun Yat-sen University, China

Reviewed by:

Haruhiko Hoshino, Saiseikai Central Hospital, Japan
Yajun Cheng, West China Hospital of Sichuan University, China
Jie Li, People's Hospital of Deyang City, China

Copyright © 2023 Zhan, Xu, Xu, Fu, Cheng, Xia, Wu, Xu, Cao and Han. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Zhao Han, wzhanzhao@aliyun.com

These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.