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BMC Neurology

, 18:194 | Cite as

Pre-stroke warfarin enhancement of collateralization in acute ischemic stroke: a retrospective study

  • Jiaying Zhu
  • Mengmeng Ma
  • Yijia Guo
  • Muke Zhou
  • Jian Guo
  • Li He
Open Access
Research article
Part of the following topical collections:
  1. Cerebrovascular disease and stroke

Abstract

Background

Warfarin therapies not only are used to prevent stroke in patients with high risk of cardioembolism such as patients with atrial fibrillation (AF) and rheumatic heart disease (RHD), but also was associated with lower stroke severity and more favorable functional outcomes in patients with acute ischemic stroke due to middle cerebral artery occlusion. It was speculated that pre-stroke warfarin may promote collateralization and result in reduced stroke severity. This study aimed to investigate the association between pre-stroke warfarin use and leptomeningeal collaterals in patients with acute ischemic stroke due to occlusion of the middle cerebral artery.

Methods

We enrolled consecutive acute ischemic stroke patients (occlusion of the middle cerebral artery within 24 h) with known history of AF and/or RHD at the neurology department of the West China Hospital from May 2011 to April 2017. Computed tomography angiography (CTA) before treatment was used to detect the thrombus. Regional leptomeningeal collateral (rLMC) score based on CTA images was used to assess collateral circulation. Prior use of warfarin was recorded. Univariate and multivariate analyses were performed to detect the association of prior warfarin use with the collateral circulation.

Results

A total of 120 patients were included; 29 (24.2%) were taking warfarin before stroke. The international normalized ratio (INR) in patients with prior warfarin use was 1.53 ± 1.00, compared with 1.02 ± 0.09 in patients without prior warfarin use (P < 0.001). Prior oral warfarin therapy was inversely associated with poor rLMC (OR = 0.07, 95%CI 0.01–0.44, P = 0.005). There were no associations between prior warfarin use and initial stroke severity or functional outcomes at 3 months.

Conclusion

Warfarin use seems improve collateralization in patients with acute stroke. However, clinical controlled studies should be used to verify this claim.

Keywords

Warfarin Acute ischemic stroke Collateral circulation 

Abbreviations

AF

Atrial fibrillation

CT

Computer tomography

CTA

Computer tomography angiography

ECASS

European Cooperative Acute Stroke Study

HDL

High density lipoprotein

ICA

Internal carotid artery

ICH

Intracerebral hemorrhage

INR

International normalized ratio

LDL

High density lipoprotein

MCA

Middle cerebral artery

MRI

Magnetic resonance imaging

mRS

Modified Rankin Scale

NCCT

Non-contrast computer tomography

NIHSS

National Institutes of Health Stroke Scale

NOACs

Non–vitamin antagonist oral anticoagulants

OR

Odds ratio

RHD

Rheumatic heart disease

rLMC

Regional leptomeningeal collateral

SD

Standard difference

Background

Leptomeningeal collaterals are pre-existing anastomoses of distal regions of intracerebral small blood vessels [1, 2]. Collaterals provide the brain tissue with supplementary blood flow in the case of occlusion of primary intracranial arteries to protect brain tissue against irreversible damage [2]. Patients with good leptomeningeal collaterals usually have lower severity of stroke, better response to therapy, and better clinical outcome in acute ischemic stroke [3, 4, 5, 6]. Collateral blood vessels could be a therapeutic target in acute ischemic stroke [2]. However, preexisting collaterals depend on cardiac and pulmonary illnesses, metabolic syndrome, hyperuricemia, aging, and genetic factors [2, 4, 7, 8]. Although there are no pharmacologic treatments proven to promote cerebral collateralization currently, some conventional stroke treatments may be available to enhance the collateral circulation [6]. Statins, which have modest antithrombotic pleiotropic effects, have been shown to be associated with the presence of better collaterals in patients with acute stroke [9].

In addition, numerous studies have demonstrated that oral anticoagulants (such as warfarin) reduced the risk of ischemic stroke [10]. Warfarin was also associated with lower stroke severity and more favorable functional outcomes when stroke occurs [11, 12, 13]. Although the mechanism for pre-stroke warfarin lowering stroke severity and improving functional outcomes was not very clear, two hypothesizes have been suggested. First, pre-stroke warfarin use may prevent thrombus formation and reduce the size of thrombi. Smaller thrombi cause distal infarctions and lower stroke severity and a more favorable clinical outcome [14, 15]. Secondly, pre-stroke warfarin use may promote collateralization since that the patients who used warfarin before stroke had lower stroke severity comparing with not using warfarin even though the patients of two groups had the similar thrombi and arterial occlusion site [16, 17]. Then it was speculated that pre-stroke warfarin may promote collateralization and result in reduced stroke severity. However, whether the association exit between pre-stroke warfarin use and collaterals still needs to be clarified. In this study, we aimed to evaluate the association between pre-stroke warfarin use and collaterals in acute ischemic stroke patients presenting with occlusion of the middle cerebral artery.

Methods

Study population

We performed a retrospective analysis of demographic, clinical, and radiographic data in consecutive patients at the Neurology Department of West China Hospital between May 2011 and April 2017. The inclusion criteria were: (1) ≥18 years of age; (2) history of AF and/or RHD; (3) available computed tomography angiography (CTA) images within 24 h of symptom onset; and (4) CTA detection of acute infarction due to occlusion of the M1 or M2 middle cerebral artery (MCA), with or without occlusion of the internal carotid artery (ICA). The exclusion criteria were: (1) pre-stroke modified Rankin Scale (mRS) score > 2; (2) severe extracranial vascular stenosis detected by CTA; or (3) < 90 days of follow-up.

Admission CT

All patients underwent non-contrast computed tomography (NCCT) and CTA. Imaging was conducted on a 128-slice Siemens SOMATOM Definition Flash double source CT scanner. NCCT helical scans were performed form the skull base to the vertex using the following parameters: 70 kV, 150 mA, and 5-mm collimation. CTA was performed using: 42 ml of contrast at 6 ml/s, 3 to 5 s delay from injection to scanning, 70 kV, 150 mA, 0.5 s/rotation, and 1.25-mm thick slice. The CTA scan covered the carotid bifurcation to the vertex. Maximum-intensity projection images (20 mm) were reconstructed in the axial, sagittal, and coronal planes.

Leptomeningeal collateral flow assessment

We assessed the degree of leptomeningeal collateral flow using the regional leptomeningeal collateral (rLMC) score (20 points) [3]. The rLMC score is based on scoring the pial and lenticulostriate arteries in six MCA regions (M1-M6) and in the anterior cerebral artery region and the basal ganglia (0 = no; 1 = less; 2 = equal or more prominent compared with a matching region in the pial artery of the contralateral hemisphere). The arteries in the Sylvian sulcus are given a higher score: 0 = not seen; 2 = less; 4 = same or more prominent compared with the opposite Sylvian sulcus. An rLMC score of 0–10 was defined as poor collateral flow, 11–16 was defined as moderate collateral flow, and 17–20 was defined as good collateral flow [3]. The assessment was performed by four radiologists with extensive experience in acute stroke imaging. The average score was used as the final score for the analyses.

Data collection

Clinical variables (age, gender, stroke risk factors, admission examinations, previous medications, thrombolytic therapy, and hemorrhagic transformation) were collected for each patient from the stroke database. All biochemical indexes were measured within 24 h of admission. The patient was considered to be using warfarin if they had been using it for at least 3 months prior to stroke and were still using warfarin when stroke occurred. Neurological severity was assessed by trained neurologists using the National Institutes of Health Stroke Scale (NIHSS, < 5 was defined as mild stroke, 5–14 as moderate stroke, and > 14 as severe stroke) [11, 18]. Intracerebral hemorrhage (ICH) was diagnosed according to the European Cooperative Acute Stroke Study (ECASS) criteria. All patients were managed optimally according to the current guidelines, physicians’ experience, and patients’ comorbidities. Follow-up mRS at 3-month after discharge was used to assess the functional outcome. All data collectors were blind to the baseline collateral status.

Statistical analysis

Statistical analysis was performed using SPSS 22.0 for Windows (IBM, Armonk, NY, USA). The patients were grouped as warfarin users vs. non-warfarin users. The potential determinants of collaterals evaluated based on previous reports in the literature were age, blood pressure, total cholesterol (treated as continuous variables), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), and history of stroke, TIA, hypertension, diabetes, hypercholesterolemia, and pre-stroke statin use (treated as dichotomized variables). [19, 20] Continuous variables were expressed as means ± standard deviation or medians (interquartile range) and were analyzed using the Student’s t test or the Mann-Whitney U test between two groups. When comparing percent distributions, the chi-square test was used but Fisher’s exact test was used if the expected number in a category was < 5. Univariate logistic regression was used to determine the association between potential determinants and leptomeningeal collaterals and multivariate logistic regression was used to determine the association between pre-stroke warfarin use and collaterals. Model 1 was adjusted for age, gender, onset to door time; model 2 included model 1 and was additionally adjusted for stroke risk factors; model 3 included model 2 and was additionally adjusted for admission examinations, thrombus location, NIH stroke scale scores; model 4 included model 3 and was additionally adjusted for prior medications. Logistic regression was used to determine the clinical outcomes associated with pre-stroke warfarin use. P value < 0.05 was considered statistically significant.

Results

Baseline characteristics of the patients

A total of 120 participants were included in the study. Of them, 37 (30.8%) patients were male. Table 1 provided the characteristics of patients with pre-stroke warfarin use or not. Pre-stroke warfarin use was recorded in 29 (24.2%) patients. Compared to patients without warfarin use, those with warfarin use were more likely to be younger age (P < 0.001) and to have a higher international normalized ratio (INR) (P < 0.001).
Table 1

Clinical characteristics of all participants (n = 120)

 

All (n = 120)

Pre-stroke warfarin users

P value

Yes (n = 29)

No (n = 91)

Demographics, n (%)

 Age > 60 years

89 (74.2)

12 (41.4)

77 (84.6)

< 0.001

 Male

37 (30.8)

8 (27.6)

29 (31.9)

0.664

 Onset to door time < 6 h

80 (66.7)

17 (58.6)

63 (69.2)

0.291

Risk factors, n (%)

 Hypertension

60 (50.0)

10 (34.5)

50 (54.9)

0.055

 Diabetes

16 (13.3)

3 (10.3)

13 (14.3)

0.759

 Atrial fibrillation

112 (93.3)

22 (75.9)

90 (98.9)

< 0.001

 Coronary heart disease

17 (14.2)

3 (10.3)

14 (15.4)

0.76

 Previous stroke

16 (13.3)

2 (6.9)

14 (15.4)

0.352

Admission examinations, mean ± SD

 INR

1.15 ± 0.54

1.53 ± 1.00

1.02 ± 0.09

< 0.001

 Systolic blood pressure

136.88 ± 20.08

133.86 ± 23.74

137.84 ± 18.81

0.356

 Diastolic blood pressure

81.31 ± 15.03

82.93 ± 13.70

80.79 ± 15.47

0.507

 Serum glucose

7.85 ± 2.40

7.45 ± 2.71

7.97 ± 2.29

0.311

 Triglyceride

1.53 ± 1.60

1.90 ± 2.65

1.40 ± 1.08

0.72

 Cholesterol

3.97 ± 0.99

3.91 ± 1.29

3.98 ± 0.88

0.325

 HDL-C

1.38 ± 0.56

1.36 ± 0.79

1.39 ± 0.47

0.26

 LDL-C

2.25 ± 0.72

2.16 ± 0.65

2.29 ± 0.74

0.402

Clinical factors, n (%)

 Thrombus location on CTA

   

0.078

 ICA + M1

28 (23.3)

6 (20.7)

22 (24.2)

 

 M1

54 (45.0)

9 (31.0)

45 (49.5)

 

 M2

38 (31.7)

14 (48.3)

24 (26.3)

 

 NIHSS scores

13 (7–18)

12 (8–16)

13 (7–18)

 

 Thrombolysis

22 (18.3)

4 (13.8)

18 (19.8)

0.468

 Intracranial hemorrhage

27 (22.5)

5 (17.2)

22 (24.2)

0.436

Pre-stroke medications, n (%)

 Antihypertensive drugs

49 (40.8)

10 (34.5)

39 (42.9)

0.424

 Antidiabetics

14 (11.7)

3 (10.3)

11 (12.1)

0.549

 Antiplatelet drugs

21 (17.5)

2 (6.90)

19 (20.9)

0.084

 Statins

21 (17.5)

7 (24.1)

14 (15.4)

0.28

INR international normalized ratio, HDL high density lipoprotein, LDL high density lipoprotein, CTA computer tomography angiography;

ICA internal carotid artery, NIHSS National Institutes of Health Stroke Scale

Assessment of clinical factors associated with collateral status

Table 2 shows the association between clinical variables and rLMC scores (categorized as poor, moderate, and good). Previous coronary heart disease (P = 0.023), low-density lipoprotein cholesterol (P = 0.008), NIHSS (P < 0.001), thrombus location (P < 0.001), statin use (P = 0.068), and warfarin use (P = 0.045) were potential clinical factors associated with collateral flow. In the multivariate models (Table 3), prior warfarin use was inversely associated with poor rLMC (OR = 0.07, 95%CI 0.01–0.44, P = 0.005) after adjustment for confounding factors.
Table 2

Associated factors with collateral circulation in acute ischemic stroke patients

 

Poor (n = 43)

Moderate (n = 52)

Good (n = 25)

P value

Univariate logistic analysis

Poor vs. not poor rLMC

Good vs. not good rLMC

Age > 60 years

30 (69.8)

40 (76.9)

15 (60.0)

0.269

0.85 (0.36–1.97)

0.54 (0.21–1.38)

Hypertension history

24 (55.8)

25 (48.1)

11 (44.0)

0.601

1.36 (0.61–3.07)

0.85 (0.33–2.21)

Diabetes

6 (13.9)

8 (15.4)

2 (8.0)

0.664

0.89 (0.28–2.80)

0.48 (0.09–2.44)

Atrial fibrillation

42 (97.7)

48 (92.3)

22 (88.0)

0.282

3.50 (0.38–32.55)

0.61 (0.13–2.97)

Coronary heart disease

9 (20.9)

8 (15.4)

0 (0.0)

0.023

1.46 (0.51–4.17)

Previous stroke

5 (11.6)

10 (19.2)

1 (4.00)

0.168

0.55 (0.17–1.76)

0.18 (0.02–1.45)

Systolic blood pressure

34.98 ± 19.98

137.77 ± 21.91

38.28 ± 16.43

0.74

0.99 (0.95–1.02)

1.02 (0.97–1.07)

Diastolic blood pressure

82.67 ± 16.53

80.54 ± 14.04

80.56 ± 14.78

0.761

1.00 (0.96–1.05)

0.93 (0.87–0.99)

Serum glucose

8.33 ± 2.63

7.44 ± 2.17

7.84 ± 2.41

0.252

1.12 (0.98–1.40)

1.09 (0.88–1.34)

Triglyceride

1.51 ± 1.40

1.48 ± 1.99

1.63 ± 0.95

0.106

1.01 (0.69–1.47)

1.06 (0.79–1.39)

Cholesterol

3.92 ± 0.84

3.79 ± 1.09

4.43 ± 0.86

0.173

1.18 (0.75–1.85)

1.83 (1.16–3.40)

HDL-C

1.36 ± 0.44

1.38 ± 0.64

1.44 ± 0.57

0.864

0.91 (0.43–1.94)

1.17 (0.52–2.63)

LDL-C

2.35 ± 0.74

2.04 ± 0.68

2.54 ± 0.67

0.008

1.33 (0.79–2.24)

1.99 (1.07–3.72)

Antihypertensive drugs

17 (39.5)

22 (42.3)

10 (40.0)

0.959

0.89 (0.39–2.03)

0.91 (0.34–2.40)

Antidiabetics

6 (13.9)

7 (13.5)

1 (4.00)

0.44

1.04 (0.32–3.37)

0.27 (0.03–2.31)

Antiplatelet drugs

5 (11.6)

11 (21.2)

5 (20.0)

0.449

0.49 (0.16–1.54)

0.93 (0.29–3.05)

Statins

3 (6.9)

13 (25.0)

5 (20.0)

0.068

0.33 (0.06–0.85)

1.23 (0.40–3.77)

Warfarin

5 (11.6)

15 (28.9)

9 (36.0)

0.045

0.21 (0.10–0.83)

2.11 (0.81–5.48)

HDL high density lipoprotein, LDL high density lipoprotein, CTA computer tomography angiography, ICA internal carotid artery, NIHSS National Institutes of Health Stroke Scale, LMC leptomeningeal collateral

Table 3

Association between pre-stroke warfarin use and collaterals

 

Poor rLMC vs. Not poor rLMC

Good rLMC vs. Not good rLMC

OR (95% CI)

P value

OR (95% CI)

P value

Unadjusted

0.21 (0.10–0.83)

0.021

2.11 (0.81–5.84)

0.125

Model 1

0.18 (0.05–0.61)

0.006

1.92 (0.66–5.62)

0.234

Model 2

0.17 (0.05–0.65)

0.009

2.12 (0.61–7.39)

0.239

Model 3

0.06 (0.01–0.37)

0.002

6.03 (0.94–38.71)

0.058

Model 4

0.07 (0.01–0.44)

0.005

4.80 (0.68–33.79)

0.115

Model 1: Adjusted for age, gender, onset to door time;

Model 2: Adjusted model 1 plus stroke risk factors;

Model 3: Adjusted model 2 plus admission examinations, thrombus location, NIH stroke scale scores;

Model 4: Adjusted model 3 plus prior medications

Association of Prior Warfarin use with stroke severity, Thrombus location, and clinical outcomes

Table 4 shows the association between prior warfarin use and initial stroke severity, thrombus location, and functional outcome. No significant difference was observed between prior warfarin use and stroke severity or follow-up mRS. Compared with patients without warfarin use exposure, thrombus location (M2 vs. ICA + M1/M1) was significantly different in warfarin users (OR = 0.38, 95%CI 0.16–0.91, P = 0.03). After adjustment for age, gender, previous antiplatelet and statins, warfarin users had a tendency to have distal vessel occlusion (OR = 0.37, 95%CI 0.13–1.03, P = 0.056).
Table 4

Association between pre-stroke warfarin use and clinical outcomes

 

Univariate analysis

Multivariate analysis

OR (95% CI)

P value

OR (95% CI)

P value

NIHSS scores

  > 14 vs. 0–14

0.74 (0.31–1.76)

0.487

  > 5 vs. 0–5

1.18 (0.39–3.53)

0.762

Thrombus location

 ICA + M1 vs. M1/M2

0.82 (0.29–2.27)

0.699

 ICA + M1/M1 vs. M2

0.38 (0.16–0.91)

0.03

0.37 (0.13–1.03)

0.056*

Follow-up mRS scores

 0–3 vs. 4–6

1.43 (0.59–3.41)

0.425

 0–2 vs. 3–6

1.49 (0.65–3.46)

0.348

*Adjusted age, gender, previous antiplatelet and statins, NIHSS National Institutes of Health Stroke Scale

ICA internal carotid artery, mRS modified Rankin Scale

Discussion

We performed a retrospective analysis of demographic, clinical, and radiographic data in consecutive patients with acute ischemic stroke presenting with the occlusion of middle cerebral artery to evaluate the association between pre-stroke warfarin use and collaterals by CTA images [21]. We found that pre-stroke oral warfarin use was inversely associated with poor leptomeningeal collaterals as identified. It showed that pre-stroke warfarin use may improve the poor cerebral collateral grade among acute ischemic stroke patients presenting with a major arterial occlusion by CTA images which is in accord with the hypothesis [10, 13].

This result also demonstrates a previously unidentified mechanism by which warfarin could lower the risks of poor collateral and reduce stroke severity. It was shown when intracranial artery occludes, secondary microthrombus may form in the distal small blood vessels of occluded artery [10, 15]. This will interfere with collateral circulations in the small vessels. Consequently, warfarin may enhance or facilitate collaterals by 1) preventing the secondary microthrombus formation in the distal small blood vessels of occluded artery, 2) promoting the lysis of thrombi in the distal small vessels and speeding up the resolution process of these thrombi at stroke onset.

The international normalized ratio (INR) value has confirmed an inverse association between admission INR and infarct size in acute ischemic stroke [11, 22, 23, 24]. In patients with higher INR (eg, an INR of 2–3), thrombus formation will be prevented and the resolution process of the new thrombus will be accelerated [25]. Indeed, one study conducted in Japan demonstrated that INR controlled between 1.60 and 1.99 is not effective for reducing the severity of ischemic stroke in patients with non-valvular atrial fibrillation [22]. Another study performed in the United States showed that therapeutic anticoagulation (INR ≥2) was associated with lower odds of moderate or severe stroke [11]. In this study, the INR values of the patients with pre-stroke warfarin were relatively lower. This may explain the result of this study that collateral enhancement was only in the patients with poor rLMC compared with other patients. Therefore, it may be needed to explore the underlying effect of the INR on collaterals and stroke severity in the future.

Previous studies have confirmed that vitamin K antagonists, such as warfarin, or non-vitamin antagonist oral anticoagulants (NOACs) reduce the risk of ischemic stroke [26]. Additionally, the current guidelines recommend warfarin or NOACs for stroke prevention in high-risk patients with AF or RHD. Nevertheless, many patients still fail to receive proper stroke prevention in the real world. A previous study showed that only 61.8% outpatients with AF (CHADS2 score ≥ 2) were treated with warfarin or NOACs [27]. In this study, we found that only 29 (31.9%) patients were treated with warfarin, and therefore the treatment rate is far below the rates observed in western countries. In addition, current guidelines suggest that a target INR between 2.0 to 3.0 is considered as effective [28]. Because of the high risk of intracranial hemorrhage in the Asian population, Japanese guidelines recommend that patients > 70 years of age should be controlled with a target INR of 1.60–2.60 [29]. In the United States, a large, nationwide and registry study indicated that in patients with acute ischemic stroke and a known history of AF, 30% were receiving some form of oral antithrombotic therapy before stroke onset, but that 64% of the warfarin-treated patients were receiving sub-therapeutic doses [11].

The presence of collateral cerebral circulation has been shown to be associated with better functional outcomes after stroke [3, 4, 5, 6]. After acute ischemic stroke onset, collateral vessels provide the brain tissue with supplementary blood flow. Guidelines are available regarding the methods clinically available or under trial to promote collateral circulation after stroke (head position, induced hypertension, volume expansion, external counter pulsation, bypass surgery, albumin, nitric oxide, TNF-α inhibitors, statins [6]); but these methods are examined in the context of stroke management, not prevention. Nevertheless, some factors are known to be associated with collaterals. Previous studies have shown negative associations between hypertension and collaterals, and positive associations between statin use and collaterals [5, 9]. In addition, age, ischemic preconditioning, and cardiovascular risk factors are considered to be associated with collateral circulation patency [3, 30, 31]. Particularly, metabolic syndrome, high blood uric acid levels, and age have been associated with poor collaterals [4]. In the present study, the multivariable analysis showed that pre-stroke oral warfarin use was associated with collaterals, independently of age, gender, onset to door time, stroke risk factors, admission examinations, thrombus location, NIH stroke scale scores, and pre-stroke medications (model 4). This may be one reason why pre-stroke warfarin use affects stroke severity and clinical outcome. Nevertheless, additional studies in a larger population are necessary to corroborate our observations.

The major challenge for antithrombotic therapy among patients with AF or RHD is the risk of bleeding. In the present study, 22.5% of the patients with acute ischemic stroke were detected with ICH. A previous report indicated that anticoagulant treatment after stroke onset was associated with significant increase in symptomatic intracranial bleeding [32], but we did not find that pre-stroke warfarin use was associated with ICH, which is supported by a previous study [13]. Nevertheless, due to the relatively small sample size in the present study, interpretation should be made with caution. There are several limitations to our study. First, the sample size was relatively small and we failed to perform subgroup analyses; hence, potential heterogeneity exists in the study population. Secondly, this study did not control for the use of previous antiplatelet therapy. Finally, based on the INR, most patients in the present study were found to receive inadequate antithrombotic therapy.

Conclusions

The results showed that prior warfarin use was inversely associated with the risk for poor collaterals in acute ischemic stroke patients presenting with occlusion of the middle cerebral artery, suggesting that warfarin use seems improve collateralization in patients with acute stroke. However, clinical controlled studies should be used to verify this claim.

Notes

Acknowledgments

We thank all the participants for their participation in this study.

Funding

This work was supported by National Comprehensive Demonstration Research on Prevention and Control of Chronic Diseases in Southwest China (2018YFC1311400 and 2018YFC1311401).

Availability of data and materials

The datasets used and analyzed in the current study are not publicly available. Anonymous data is available from the corresponding author upon reasonable request.

Authors’ contributions

JZ and MM analyzed and interpreted the patient data and were the main contributors in writing the manuscript. They contributed equally to this work. YG performed the statistically analysis and was major contributor in writing the manuscript. MZ and JG collected the data and were the major contributors in writing the manuscript.

LH participated in the study design, data interpretation and revising the manuscript critically for important intellectual content. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The Ethics Committee of West China Hospital, Sichuan University approved the study protocol. All patients consent to participate in this observational study. Written informed consent or oral consent was obtained from each participant according to the demand of Local Ethics Committee of West China Hospital, Sichuan University. The ethics committee approved this procedure. The dataset was anonymized prior to analysis.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Authors and Affiliations

  1. 1.Department of NeurologyWest China Hospital, Sichuan UniversityChengduChina
  2. 2.Department of EmergencyGui Zhou provincial People’s HospitalGuiyangChina

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