Impact of Extraischemic Hemorrhage After Thrombolysis with Intravenous Recombinant Tissue Plasminogen Activator

Takuro Endo1, Taizen Nakase2*, Masahiro Sasaki2 and Tatsuya Ishikawa1

1Department of Neurological Surgery, Research Institute for Brain and Blood Vessels, Akita, Japan

2Department of Stroke Science, Research Institute for Brain and Blood Vessels, Akita, Japan

Corresponding Author:
Dr. Taizen Nakase
Department of Stroke Science, Research Institute for Brain and Blood Vessels, Akita 6-10 Sensyu Kubota Machi, Akita, 010-0874, Japan
Tel: +81-18-833-0115
Fax: +81-18-833-2104
E-mail:
tnakase@akita-noken.jp

Received date: June 15, 2016; Accepted date: July 21, 2016; Published date: July 25, 2016

Citation: Endo T, Nakase T, Sasaki M, et al. Impact of Extraischemic Hemorrhage After Thrombolysis with Intravenous Recombinant Tissue Plasminogen Activator. J Neurol Neurosci. 2016, 7: S3.

 
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Abstract

Background: Thrombolysis is efficacious for acute ischemic stroke; however it might increase the risk of following hemorrhage. Generally, hemorrhage may occur within the ischemic region because of ischemiareperfusion injury. However, hemorrhage of extraischemic lesion called extraischemic hemorrhage (EH) may sometimes observed. The risks and outcome of EH have been still controversial. Therefore, this study aimed to reveal the clinical characteristics of EH in recent cases.

Methods: Acute ischemic stroke patients who were treated with intravenous recombinant tissue plasminogen activator administration within 4.5 hrs following onset were consecutively screened (n=112). All cases were classified into no-bleeding (NB), cerebral hemorrhage within infarct lesion (HI) and EH groups. The MRI findings, patient’s background and outcome were assessed between EH and other groups.

Results: Incidence rate of NB, HI and EH were 62.5%, 31.2% and 6.3%, respectively. There was no significant difference of patients’ background between EH and other groups. While, patients of EH group showed significantly higher frequency of microbleeds in subcortical region compared with NB group (p=0.01: 71.4% and 21.4%, respectively). Leukoaraiosis in deep white matter region was significantly severer in EH compared with NB group (p=0.03). Although neurologic severity at onset was the same among three groups, the outcome was significantly worse in EH group compared with other groups (p=0.04).

Conclusion: Our results confirmed that extraischemic hemorrhage after thrombolysis could cause worse outcome. Moreover, it was revealed the underlying small vessel disease, represented by microbleeds and leukoaraiosis in subcortical area, might be associated with extraischemic hemorrhage.

Keywords

Ischemic stroke; Treatment; Thrombolysis; Hemorrhagic change; Outcome; Complication

Introduction

Thrombolytic therapy with intravenous recombinant tissue plasminogen activator (IV rt-PA) administration is efficacious treatment for acute ischemic stroke within 4.5 hours of the onset, and also is recommended as best therapy in clinical guideline for stroke in Japan [1]. However, hemorrhagic complication is sometimes observed following the thrombolysis, and it might affect disease state and prognosis. Trouillas reported that cerebral hemorrhage after thrombolysis could be classified into three types, i.e., hemorrhagic infarction (HI), parenchymal hemorrhage and extraischemic hematoma (EH) [2]. Particularly, the incidence rate of EH is very low, and it’s pathogenesis and prognosis has not been fully understood. In this study, we evaluated the possible association between the incidences of EH and the pathology of cerebral small vessels by acquired imaging findings. Furthermore, we explored the premorbid clinical settings and outcome of the patients who suffered from EH after thrombolysis.

Patients and Methods

Following the approval of the ethical committee of the Research Institute for Brain and Blood Vessels –Akita, consecutive acute ischemic stroke patients who were admitted to our hospital and treated with IV rt-PA within 4.5 hours of onset were retrospectively screened between April 1, 2007 and March 31, 2015. We excluded patients who were not performed magnetic resonance imaging (MRI) scan because of implantation of a pacemaker, joint replacement and old intracranial clips. Moreover, we excluded patients who underwent intra-arterial thrombolysis and mechanical thrombectomy following IV rt-PA administration (Figure 1). The Japanese guideline was adopted for the indication of IV rt-PA administration [1]. Blood pressure was controlled by IV Ca channel blocker and maintained systolic blood pressure (sBP) <185 mmHg and diastolic blood pressure <110 mmHg before IV rt-PA infusion, and sBP <180 mmHg and dBP <105 mmHg following 24 hours of infusion. Within 24 hours of thrombolysis, any other antithrombotic agents were not prescribed.

jneuro-Flowchart-patients

Figure 1: Flowchart of patients’ selection.

All patients were taken MRI examination at 24 hours after thrombolysis. Then, they were classified into three groups depending on MRI T2* weighted image (TR 3000, TE 50); nonbleeding group (NB group), hemorrhagic infarction group (HI group) and extraischemic hemorrhage group (EH group). In this study, both parenchymal and petechial hemorrhages were defined as HI unless the hemorrhage was observed within the ischemic lesion. We compared between EH group and other two groups for identifying patient characteristics in EH group.

Patient background

Stroke risks such as hypertension, diabetes mellitus, hyperlipidemia, smoking, drinking and past ischemic stroke were assessed based on the clinical record. National Institute of Health stroke scale (NIHSS) was used for evaluation of neurologic severity. Modified Rankin scale (mRS) at the time of discharge from the hospital was used for evaluation of outcome. Good clinical outcome was defined as mRS<3, because it is one of the important point whether activity of daily life was independent or not. In addition, mRS was compared between at the time of admission and discharge for evaluating how patient’s outcome was affected by hemorrhagic complications.

Cerebral microbleeds (CMBs)

CMBs were assessed based on MRI T2*WI, which was undertaken at the time of admission. Lesions within cerebral parenchyma were classified into three regions; infratentrial, basal ganglia and subcortical regions.

Leukoaraiosis

Leukoaraiosis was assessed based on MRI T2 WI (TR 4000, TE 100) and fluid attenuated inversion recovery (FLAIR) image (TR 10000, TE 100, TI 2200), which were undertaken at the time of admission. Following the guideline of the Japan brain dock society, severity of leukoaraiosis was classified into 5 categories (0: absent, 1: small, 2: mild, 3: moderate and 4: severe) in two regions; periventricular hyperintensity (PVH) and deep and subcortical white matter hyperintensity (DSWMH) [3].

Statistical analysis

All statistical analysis was performed by JMP version 9 software (SAS institute Inc., NC). Numerical data was presented as median and quartile. Categorical data was presented as percentage. NIHSS at the time of admission and the severity of leukoaraiosis between EH and other two groups were evaluated by Steel-Dwass test. Other factors were evaluated by Fisher’s exact test. Improvement of mRS from admission to discharge was assessed as patient’s prognosis.

Results

Patients’ background

Patients of 70 (62.5%) showed no hemorrhagic transformation after thrombolysis (NB group). The incidence rate of hemorrhagic change after thrombolysis was 35 (31.2%) and 7 (6.3%) in HI and EH groups, respectively. Furthermore, hemorrhage with mass effect was 31and 4 cases, and without mass effect was 4 and 3 cases in HI and EH groups, respectively. Regarding the stroke risks, there was no significant difference between EH and NB or HI groups (Table 1). Neurologic severity was not different among three groups. The stroke subtypes of all patients were cardiogenic embolism (n=77), atherothrombotic infarction (n=21), lacunar infarction (n=9) and unknown origin (n=5). There was no lacunar infarction and unknown origin infarction in EH group. The distribution of stroke subtypes was not significantly different among three groups (Figure 2).

  EH group NB group P value
(EH vs NB)
HI group P value
(EH vs HI)
n 7 70   35  
Age,
median (range)
  78 (68-80.5)   74 (63-80)   0.75   72 (56.5-79)   0.63
Sex (male/female) 4/3 46/24 0.69 27/8 0.35
Hospitalization,
median (range)
  36 (19.5-42)   28 (15-40)   0.80   22 (17.5-34)   0.72
Hypertension 4 (57.1%) 31 (44.2%) 0.70 16 (45.7%) 0.69
Hyperlipidemia 3 (42.9%) 22 (31.4%) 0.68 3 (8.6%) 0.16
Diabetes mellitus 2 (28.6%) 17 (24.3%) 1.00 4 (11.4%) 0.26
History of stroke 0 (0%) 12 (17.1%) 0.59 6 (17.1%) 0.57
Antithrombotic therapy 4 (57.1%) 18 (25.7%) 0.10 10 (28.6%) 0.20
Smoking 1 (14.3%) 21 (30.0%) 0.67 15 (42.9%) 0.22
Drinking 2 (28.6%) 29 (41.4%) 0.70 17 (48.6%) 0.43
NIHSS at admission,
median (range)
  8 (7-17.5)   12 (9-17)   0.68   14 (9-18.5)   0.69

Table 1: Patient background in each group.

jneuro-embolism-lacunar-infarction

Figure 2: The distribution of stroke subtypes in each group. There was no significant difference among three groups. Dark gray, light gray, white and black bars indicate atherothrombotic infarction, cardiogenic embolism, lacunar infarction and unknown origin. Numbers in each bar stand for the number of patients in each group.

CMBs and leukoaraiosis

As shown in Table 2, percentage of the existence of CMBs in the subcortical region was significantly higher in EH compared with NB groups (p=0.01; 71.4% and 21.4%, respectively). EH group showed significantly severer DSWMH compared with NB group (p=0.03). The severity of PVH was not different among three groups.

  EH group NB group P value
(EH vs. NB)
HI group P value
(EH vs. HI)
CMBs          
Infratentrial 3 (42.9%) 12 (17.1%) 0.13 12 (34.3%) 0.69
Basal ganglia 5 (71.4%) 21 (30.0%) 0.04 13 (37.1%) 0.12
Subcortical 5 (71.4%) 15 (21.4%) 0.01 12 (34.3%) 0.10
Leukoraiosis          
DSWMH
Median (range)
3 (2-4) 2 (1-2) 0.03 2 (1-2) 0.17
PVH
Median (range)
2 (1-3.5) 1 (0-2) 0.11 1 (0-2) 0.07

Table 2: The number of patients with CMBs and the severity of leukoaraiosis in each region.

Outcome

There was no difference of mean mRS score at discharge among three groups (Table 3). However, the frequency of patients in poor outcome (mRS 3 - 5) was significantly higher in EH group compared with NB and HI groups (p=0.04: 100%, 57.1% and 57.1%, respectively). Moreover, number of patients who showed the improvement of mRS score was significantly fewer in EH group (14.3%) compared with NB (60.0%) and HI groups (74.3%) (P=0.04 and P<0.01, respectively).

  EH group NB group P value
(EH vs NB)
HI group P value
(EH vs HI)
mRS at discharge
median (range)
4 (3.5-5) 4 (1-4) 0.34 3 (2-4) 0.51
Number of patients
0-2
3-6
0
7
30
40
0.04 15
20
0.04
Comparison of mRS from admission to discharge
Improved
Unchanged/Worsened
1
6
42
28
0.04 26
9
<0.01

Table 3: Comparison of mRS at the time of admission and discharge in each group.

Discussion

Our results confirmed that the extraischemic hemorrhage might adversely affect a patient’s prognosis. Then, we revealed that the presence of CMBs in subcortical region and severity of DSWMH could be useful predictors of extraischemic hemorrhage after IV rt-PA administration.

Hemorrhagic complications after thrombolysis have been reported to be classified into three types, hemorrhagic infarction, parenchymal hematoma and extraischemic hemorrhage, according to imaging findings and pathophysiology [2]. It is reported that incidence of cerebral hemorrhage in extraischemic region is 1.3–3.7% [2,4-6], and it is still undetermined the risk factors which relate to extraischemic hemorrhage [5-8]. In our study, there was not any significant difference of backgrounds which might relate to the extraischemic hemorrhage, suggesting that clinical risks would not be helpful to predict the extraischemic hemorrhage. Meanwhile, the hemorrhagic transformation of ischemic lesion has been reported to associate to the existence of arterial fibrillation, suggesting that cardiogenic embolism could be a cause of hemorrhagic infarction [6]. However, there has been no report which suggests the association between stroke subtypes and incidence of extraischemic hematoma.

It has been pointed out that incidence of extraischemic hemorrhage is associated to vascular fragility, which is pathologically explained by small vessel disease, observed as CMBs or leukoaraiosis in MRI findings. CMBs might associate with hypertensive microangiopathy in basal ganglia region and cerebral amyloid angiopathy (CAA) in subcortical region [9-12]. Then, presence of CMBs is reported to associate with incidence of cerebral hemorrhage in both healthy individuals and patients treated with antithrombotic agents [12-15]. Multiple CMBs, especially in CAA, could also relate to the increased risk of cerebral hemorrhage [16,17]. On the other hand, some studies reported that presence of CMBs did not relate to cerebral hemorrhage following thrombolysis [18-20]. In this study, CMBs in subcortical region was significantly frequent in EH group than NB group. It can be said that the presence of CMBs could be associated with EH after thrombolysis.

Leukoaraiosis also reflects small vessel disease, which is formed by microvascular degeneration and deep white matter ischemia caused by such as hypertension and diabetes mellitus [9,21]. Moreover, leukoaraiosis can be assumed to suggest a disorder of blood brain barrier (BBB) in the cerebrum. However, according to previous reports, it is still controversial about the association between severity of leukoaraiosis and cerebral hemorrhage after thrombolysis [22-26]. Herein, this study showed the significant correlation between extraischemic hemorrhage after thrombolysis and severity of leukoaraiosis, especially about DSWMH, supporting the previous reports in which severity of not PVH but DSWMH had significant correlation with cerebral hemorrhage after thrombolysis [23,24].

It has been reported that developing extraischemic hemorrhage adversely affect a patient’s prognosis [4,5,15,16]. While, pathogenesis of poor outcome of extraischemic hemorrhage has not been unveiled. In this study, the incidence of HI was 31% and most of them showed parenchymal hemorrhage. The incidence of EH was 6.3% and the rate of hemorrhage with mass effect and without mass effect was the same. Nevertheless, patients with extraischemic hemorrhage showed not only worse outcome but also poor improvement during hospitalization. Possibly, hemorrhagic damage might induce neurologic deterioration addition to the original deficit caused by ischemia.

There are some limitations. This study was retrospective and single-center study. The incidence of extraischemic hemorrhage was only observed within 24 hr following thrombolytic therapy. To ensure our results, a larger prospective study should be conducted. Nevertheless, it is worthwhile to report and accumulate data of the clinical characteristics of extraischemic hemorrhage, since the incidence of extraischemic hemorrhage is very low.

Conclusion

According to imaging findings on MRI, CMBs and leukoaraiosis could be risk factors of extraischemic hemorrhage following rt-PA thrombolysis. Extraischemic hemorrhage might be associated with vascular fragility in small arteries of cerebrum. Moreover, because extraischemic hemorrhage related to the poor outcome, it should be aware of during acute phase treatment.

Contribution of Each Author

TE conducted throughout this study. TN carried out the statistical analysis and manuscript preparation. MS performed the screening of patients. TI coordinated and advised the settings of this study.

Conflict of Interest

All authors report no financial or institutional conflicts in this study.

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