Literature DB >> 34040467

Risk Factors for Postoperative Rebleeding and Short-Term Prognosis of Spontaneous Cerebellar Hemorrhage.

Jun Shen1, Xuefei Shao1, Ruixiang Ge1, Guangfu Di1, Xiaochun Jiang1.   

Abstract

PURPOSE: Postoperative rebleeding (PRB) is one of the most severe complications after hematoma evacuation of spontaneous intracerebral hemorrhage (ICH). PRB has been proven to be an independent risk factor for poor prognosis. Previous studies have shown that spot sign and blend sign are independent risk factors for PRB of spontaneous ICH. However, the risk factors for PRB of spontaneous cerebellar hemorrhage (SCH) have not been elucidated. The aim of the present study was to investigate the possible risk factors for PRB and short-term prognosis of patients with SCH. PATIENTS AND METHODS: This study identified 62 patients with SCH who underwent hematoma evacuation in our department. Risk factors for PRB and short-term prognosis were identified by a univariable logistic regression model, and predictors with a P value of less than 0.05 were included in the multivariable logistic regression model to identify independent predictors. A receiver operating characteristic (ROC) curve was created to test the sensitivity and specificity of independent risk factors.
RESULTS: Hematoma volume was the only independent predictor of PRB (OR=15.14, 95% CI=1.08-213.1, P=0.044). The sensitivity and specificity of hematoma volume to PRB were 63.6% and 89.7%, respectively, and the cutoff value of hematoma volume was >29.3 mL. GCS score ≤8 (OR=5.131, 95% CI=1.030-25.554, P=0.046) and PRB (OR=13.17, 95% CI=1.316-131.798, P=0.028) were independent risk factors for poor prognosis of patients with SCH. The sensitivity and specificity of the GCS score to poor prognosis were 66.7% and 86.2%, respectively. The sensitivity and specificity of the PRB to poor prognosis were 36.4% and 96.6%, respectively.
CONCLUSION: Hematoma volume is likely to be a strong predictor of PRB among patients with SCH. GCS scores ≤8 on arrival and PRB were significant predictors of short-term poor outcome.
© 2021 Shen et al.

Entities:  

Keywords:  Glasgow Coma Scale; modified Rankin Scale; postoperative rebleeding; spontaneous cerebellar hemorrhage; spontaneous intracerebral hemorrhage

Year:  2021        PMID: 34040467      PMCID: PMC8140942          DOI: 10.2147/RMHP.S309286

Source DB:  PubMed          Journal:  Risk Manag Healthc Policy        ISSN: 1179-1594


Introduction

Spontaneous intracerebral hemorrhage (ICH) affects approximately 2 million persons worldwide annually. ICH is a relatively common subtype of stroke, and it is associated with high mortality and functional disability rates.1,2 Spontaneous cerebellar hemorrhage (SCH) accounts for 10% of all ICHs and leads to more devastating consequences, with a 30-day mortality rate ranging from 30% to 50%.3,4 Hematoma evacuation for SCH may prevent secondary brain injury, brainstem compression, fourth ventricle blockage, obstructive hydrocephalus, and herniation.5–9 Although it is unclear whether surgical treatment of spontaneous ICH can improve the prognosis of patients compared with conservative treatment, a reduction in surgical complications is considered to improve patient outcomes.8–11 Postoperative rebleeding (PRB) is one of the most severe complications after hematoma evacuation for spontaneous ICH. PRB has been proven to significantly increase the mortality of ICH patients and is an independent risk factor for poor prognosis.12 Previous studies have shown that spot sign and blend sign are independent risk factors for PRB of spontaneous ICH.13–15 However, the risk factors for PRB of SCH have not been fully elucidated. In the present study, we aimed to investigate the possible risk factors for PRB and the short-term prognosis of patients with SCH.

Materials and methods

Patients and Methods

Exclusion Criteria

In this retrospective cohort study, 69 SCH patients who underwent surgical evacuation at the Department of Neurosurgery at The First Affiliated Hospital (YiJiShan Hospital) of Wannan Medical College during 2014–2020 were analyzed. The exclusion criteria included: (1) patients younger than 18 years old at the time of diagnosis; (2) SCH secondary to tumor or vascular anomalies (aneurysms, arteriovenous malformations, moyamoya disease, and arteriovenous fistulas); (3) patients who died within 24 hours after the initial operation or died before the postoperative computed tomography (CT) examination was performed; and (4) patients with missing data. Patients with coagulopathy were not excluded.

The Surgical Indications and Procedure

The surgical indications were hematoma > 3 cm in diameter or signs of brainstem compression and/or hydrocephalus.16,17 All patients underwent craniotomy hematoma evacuation under general anesthesia. Surgery was only ended after ensuring that there was no active bleeding during the procedure. In patients with SCH that was associated with obvious acute hydrocephalus and/or a massive ventricular hematoma, ventricular drainage was performed simultaneously. During the operation, if the brain pressure was still high after the hematoma was evacuated, craniectomy was performed simultaneously.

CT Scan and Imaging Analysis

Cranial CT scans at 12 hours prior to initial surgery, within 24 hours, and 48–72 hours after initial surgery were performed in all patients. The patients also underwent a CT scan when their neurological state significantly deteriorated. The occurrence of PRB was recorded during the first 72 hours following the surgery. PRB was defined as a new postoperative hematoma. The appearance of the new hematoma was different than the appearance on the preoperative CT scan, and the volume of the new hematoma was more than half of the original hematoma volume. PRB should be distinguished from residual hematoma based on the intraoperative record and consistency of the hematoma appearance between the postoperative and preoperative CT scans. The appearance of the residual hematoma was consistent between the postoperative and preoperative CT scans (ie, the same shape and density) with no trace of the surgical procedure, while PRB displayed a different appearance between the postoperative and preoperative CT scans (Figure 1A–E).13,14
Figure 1

(A–C) Postoperative rebleeding; (D–E) hematoma residual; (F) black hole sign; (G) island sign; (H) swirl sign; (I) mixed density.

(A–C) Postoperative rebleeding; (D–E) hematoma residual; (F) black hole sign; (G) island sign; (H) swirl sign; (I) mixed density. Hematoma volume was calculated as ∑ [Layer thickness×Area of each layer]. The area of each layer was measured using ImageJ software.18 The characteristics of SCH on CT scan include black hole sign, island sign, swirl sign, and mixed density. The black hole sign was defined as: (1) a black hole (relatively hypoattenuated area) encapsulated within the hyperattenuating hematoma; (2) the black hole was not connected with the adjacent brain tissue, and the shape could be round, oval, or rod-like; (3) an identifiable border from the relatively hypoattenuated area; and (4) at least a 28 Houns-field unit (HU) difference in density between the 2 regions (Figure 1F).19 The island sign was defined as: (1) equal to or more than 3 small separated hematomas, small hematomas could be round or oval and are not connected with the main hematoma; (2) equal to or more than 4 small hematomas, all or some of which may connect with the main hematoma, and small hematomas should be sprout-like or bubble-like but not lobulated (Figure 1G).20,21 The swirl sign was defined as a low-density area surrounded by a high-density hematoma (Figure 1H).22,23 The mixed density was defined as a high-density and low-density hematoma irregularly mixed together (Figure 1I). Characteristics of the hematoma on CT scan were evaluated by 2 experienced neurosurgeons who were blinded to this study.

Parameters Included in the Statistical Analysis

The following clinical and radiological parameters were collected and included in the statistical analysis: age, sex, diabetes mellitus, smoking, daily alcohol consumption, antiplatelet use, systolic blood pressure (SBP) on arrival, Glasgow Coma Scale (GCS) score at admission, thrombocytopenia (defined as a platelet count less than 100×103/mL), coagulopathy (defined as a prothrombin time-international normalized ratio of > 1.4 or an activated partial thromboplastin time of ≥ 40 seconds.), early surgery (defined as surgery performed within 8 hours post-hemorrhage), duration of surgery, hematoma volume, black hole sign, island sign, swirl sign, mixed density, and operation method (hematoma evacuation or hematoma evacuation + ventricular drainage). Short-term prognosis was assessed by using the modified Rankin Scale (mRS) at 3 months after the initial surgery, and a mRS ≥ 4 was defined as a poor outcome.24–26

Statistical Analyses

All statistical analyses were performed with SPSS (version 22.0, IBM Corp.). Data are presented as the numbers of patients (percentages) and the means ± SD (standard deviation) for categorical and continuous variables, respectively. Predictors of PRB were first assessed using a univariable logistic regression model, and predictors with a P value of less than 0.05 were then included in the multivariable logistic regression model to identify independent predictors. A receiver operating characteristic (ROC) curve was created based on independent risk factors obtained from the multivariable logistic analyses, and cutoff values of the continuous variables were recorded. The interobserver agreement for identifying the hematoma characteristics was determined using kappa values. A P value of less than 0.05 was considered statistically significant.

Results

Baseline Characteristics

After screening, 62 patients who met the enrollment criteria were included in this study. The mean age of the patients at admission was 67.39 ± 10.21 years (age range, 36–87 years). There were 15 women and 47 men, and the ratio was 1:3.13. The PRB was observed in 13 patients (21%). Eight patients died within three months after the initial operation, two patients who died before the postoperative CT examination were excluded from the statistical analyses, and the mortality rate was 12.5% (8/64). Poor prognosis was observed in 33 patients (53.2%). The average hematoma volume was 25.19 ± 10.02 mL. Other baseline clinical and radiological characteristics of the patients are listed in Table 1.
Table 1

Baseline, Clinical, and Radiographic Characteristics of Patients with SCH

CharacteristicPatients with SCH
Age (years)67.39 ± 10.21
Female Sex15 (24.2)
Diabetes mellitus7 (11.3)
Smoking10 (16.1)
Daily alcohol consumption8 (12.9)
Antiplatelet drug6 (9.7)
SBP on arrival (mmHg)187.34 ± 33.36
GCS score ≤ 826 (41.9)
Thrombocytopenia10 (16.1)
Coagulopathy6 (9.7)
Early surgery44 (71)
Duration of surgery (minutes)240.19 ± 61.13
Hematoma volume (mL)25.19 ± 10.02
Black hole sign9 (14.5)
Island sign6 (9.7)
Swirl sign7 (11.3)
Mixed density20 (32.3)
Hydrocephalus14(22.6)
Operation method
HE22 (35.5)
HE + VD40 (64.5)

Abbreviations: GCS, Glasgow Coma Scale; HE, hematoma evacuation; SBP, systolic blood pressure; SCH, spontaneous cerebellar hemorrhage; VD, ventricular drainage.

Baseline, Clinical, and Radiographic Characteristics of Patients with SCH Abbreviations: GCS, Glasgow Coma Scale; HE, hematoma evacuation; SBP, systolic blood pressure; SCH, spontaneous cerebellar hemorrhage; VD, ventricular drainage.

Prevalence and Interobserver Agreement of Hematoma Characteristics

Of the 62 patients, the black hole sign was identified in 9 patients (14.5%), the island sign was identified in 6 patients (9.7%), the swirl sign was identified in 9 patients (14.5%), and mixed density was identified in 20 patients (32.3%). Interobserver agreement for the black hole sign, island sign, swirl sign, and mixed density was κ=0. 0.689, κ=0.742, κ=0.772, and κ=0.730, respectively (Table 2).
Table 2

Radiological Characteristics and Interobserver Agreement (N=62)

Radiological CharacteristicsNumber of Patients with Positive Sign (%)p valueInterobserver Agreement (κ)
Black hole sign9 (14.5)<0.0010.689
Island sign6 (9.7)<0.0010.742
Swirl sign7 (11.3)<0.0010.772
Mixed density20 (32.3)<0.0010.730
Radiological Characteristics and Interobserver Agreement (N=62)

Predictors for PRB in Patients with SCH

As shown in Table 3, univariate logistic regression analysis revealed that hematoma volume (OR=29.333, 95% CI=2.404–357.848, P=0.008), black hole sign (OR=7.031, 95% CI=1.546–31.977, P=0.012), and mixed density (OR=4.933, 95% CI=1.354–17.98, P=0.016) were associated with the PRB of SCH. A multivariate analysis involving these three variables obtained in the univariate analyses was performed. Hematoma volume was the only independent predictor of PRB (OR=15.135, 95% CI=1.075–213.101, P=0.044). Next, an ROC analysis of the hematoma volume was performed. The sensitivity and specificity of hematoma volume to PRB were 61.5% and 83.7%, respectively. The area under the curve (AUC) was 0.747, 95% CI=0.621–0.849. The cutoff value of hematoma was >29.3 mL, suggesting that SCH patients with hematoma volumes greater than 29.3 mL are prone to PRB (Figure 2).
Table 3

Logistic Regression Analysis of Predictors for PRB in Patients with SCH (N=13)

PredictorsCrude ModelMultivariable Model
OR95% CIp valueOR95% CIp value
Age (per 10-yr increase)1.2000.147–9.7680.865
Female Sex0.2080.025–1.7570.149
Diabetes mellitus1.6000.273–9.3740.602
Smoking1.8000.394–8.2150.448
Daily alcohol consumption2.6400.540–12.9140.231
Antiplatelet drug2.0450.331–12.6360.441
SBP on arrival (per 20-mmHg increase)1.8330.318–10.5730.498
GCS score ≤ 82.7560.782–9.7080.115
Thrombocytopenia0.9320.173–5.0320.935
Coagulopathy0.7330.078–6.8880.786
Early surgery1.4710.353–6.1210.596
Duration of surgery (per 1-hr increase)0.6670.057–7.8520.747
Hematoma volume (per 10-mL increase)29.3332.404–357.8480.00815.1351.075–213.1010.044
Black hole sign7.0311.546–31.9770.0124.0870.674–24.7910.126
Island sign2.0450.331–12.6360.441
Swirl sign2.1500.458–10.1030.332
Mixed density4.9331.354–17.9800.0163.7320.834–16.7010.085
Hydrocephalus1.0360.242–4.4370.962
Operation method (HE + VD)1.1760.333–4.1590.801

Abbreviations: CI, confidence interval; GCS, Glasgow Coma Scale; HE, hematoma evacuation; OR, odds ratio; SBP, systolic blood pressure; SCH, spontaneous cerebellar hemorrhage; VD, ventricular drainage.

Figure 2

ROC analysis of the hematoma volume to postoperative rebleeding.

Logistic Regression Analysis of Predictors for PRB in Patients with SCH (N=13) Abbreviations: CI, confidence interval; GCS, Glasgow Coma Scale; HE, hematoma evacuation; OR, odds ratio; SBP, systolic blood pressure; SCH, spontaneous cerebellar hemorrhage; VD, ventricular drainage. ROC analysis of the hematoma volume to postoperative rebleeding.

Predictors of Short-Term Poor Prognosis in Patients with SCH

In univariate logistic regression analysis, GCS score ≤ 8 (OR=12.5, 95% CI=3.476–44.948, P<0.001), early surgery (OR=3.176, 95% CI=1.003–10.059, P=0.049), hematoma volume (OR=17, 95% CI=1.683–171.703, P=0.016), and PRB (OR=16, 95% CI=1.926–132.899, P=0.01) were related to poor prognosis of patients with SCH. Because the P value of these four variables was less than 0.05, we next included them in the multivariable logistic regression model. The results revealed that GCS score ≤ 8 (OR=5.131, 95% CI=1.030–25.554, P=0.046) and PRB (OR=13.17, 95% CI=1.316–131.798, P=0.028) were independent risk factors for poor prognosis (Table 4). To assess the efficiency of the GCS score and PRB in predicting poor prognosis, we further conducted an ROC analysis on these variables. The sensitivity and specificity of the GCS score to predict poor prognosis were 86.21% and 66.67%, respectively, and the AUC was 0.764, 95% CI=0.639–0.863. The sensitivity and specificity of PRB to poor prognosis were 36.4% and 96.6%, respectively, and the AUC was 0.67, 95% CI=0.533–0.780 (Figure 3).
Table 4

Logistic Regression Analysis of Predictors for Poor Prognosis in Patients with SCH (N=33)

PredictorsCrude ModelMultivariable Model
OR95% CIp valueOR95% CIp value
Age (per 10-yr increase)2.2220.192–25.7230.523
Female Sex1.4370.441–4.6820.547
Diabetes mellitus0.3100.055–1.7370.183
Smoking0.8570.221–3.3200.823
Daily alcohol consumption1.5480.336–7.1300.575
Antiplatelet use1.8620.315–11.0030.493
SBP on arrival (per 20-mmHg increase)2.0000.407–9.8380.394
GCS score ≤ 812.5003.476–44.948<0.0015.1311.030–25.5540.046
Thrombocytopenia4.3200.836–22.3200.081
Coagulopathy0.4030.068–2.3850.317
Early surgery3.1761.003–10.0590.0491.2370.263–5.8210.788
Duration of surgery (per 1-hr increase)1.5240.250–9.2950.648
Hematoma volume17.0001.683–171.7030.0160.2160.014–3.2290.267
Black hole sign3.6350.690–19.1380.128
Island sign5.0000.548–45.5790.153
Swirl sign3.6470.576–19.0330.133
Mixed density2.0430.680–6.1400.203
Hydrocephalus1.8000.52–6.1640.349
Operation method (HE + VD)0.3430.117–1.0090.052
PRB16.0001.926–132.8990.01013.1701.316–131.7980.028

Abbreviations: CI, confidence interval; GCS, Glasgow Coma Scale; HE, hematoma evacuation; OR, odds ratio; PRB, postoperative rebleeding; SBP, systolic blood pressure; SCH, spontaneous cerebellar hemorrhage; VD, ventricular drainage.

Figure 3

ROC analysis of the GCS and postoperative rebleeding to short-term prognosis.

Logistic Regression Analysis of Predictors for Poor Prognosis in Patients with SCH (N=33) Abbreviations: CI, confidence interval; GCS, Glasgow Coma Scale; HE, hematoma evacuation; OR, odds ratio; PRB, postoperative rebleeding; SBP, systolic blood pressure; SCH, spontaneous cerebellar hemorrhage; VD, ventricular drainage. ROC analysis of the GCS and postoperative rebleeding to short-term prognosis.

Discussion

This study investigated whether clinical and radiographic parameters could predict PRB and short-term prognosis of SCH. The results proved that hematoma volume was the only independent risk factor for PRB. The likely reason is that a large volume of hematoma has a large surgical field, which increases the risk of rebleeding. GCS score at admission and PRB were independent risk factors for short-term poor prognosis of SCH. Other factors had no significant correlation with either PRB or short-term prognosis. The incidence of PRB was 21%, higher than the previously reported 7.2–10.9%.13–15 One reason is that the incidence of PRB in the cerebellum is higher, and previous reports did not distinguish between supratentorial hematoma and cerebellar hematoma. Another reason is that the definition of PRB can differ. We defined it as a new postoperative hematoma, and the volume of the new hematoma was more than half of the original hematoma volume. Other authors define PRB as having a mass effect that causes neurological deterioration. If the new hematoma was just within the removed hematoma cavity but had no mass effect, it was not considered a PRB.13,14 However, this definition of PRB may not apply to the cerebellum because most patients with cerebellar ICH undergo suboccipital decompression and/or ventricular drainage at the same time as surgery; thus, even if the volume of the new hematoma is the same as the original hematoma, it may not cause neurological deterioration. CT angiography spot signs have been well documented in ICH and can predict hematoma expansion and active bleeding during surgery.27–29 In addition, the spot sign has also been shown to predict rebleeding after ICH surgery,14,15 and it is a risk factor for in-hospital mortality and poor outcome among survivors.15,24,27 However, spot signs require immediate admission for CT angiography examination within the initial several hours after the onset of symptoms, which is not applicable in some institutions. It is also not suitable for patients who have formed a brain herniation when admitted and need emergency surgery to relieve brainstem compression. In addition, CT angiography examination requires contrast administration, which is contraindicated in patients with renal function impairment. In this cohort, CT angiography was performed in 23 patients, and spot signs were identified in only one patient without PRB; therefore, we did not include them in the statistical analysis. Further studies are needed to confirm whether spot signs are related to the PRB of SCH. Recently, some noncontrast CT markers, including the black hole sign, island sign, swirl sign, and blend sign (defined as blending of hyperattenuating area and hypoattenuating region with a well-defined margin14), have been reported to predict the hematoma expansion of ICH under conservative treatment.13,20,21,23,30–32 Among these radiological characteristics, island sign has been reported to predict short-term and long-term poor prognoses and mortality in ICH patients,20,21,30–32 and the blend sign is likely to be an independent risk factor for PRB in ICH patients.13 However, in this study, these radiological characteristics had no significant correlation with either PRB or short-term prognosis of patients with SCH. In addition, the blend sign was only observed in one patient, and we excluded it from the statistical analysis. In the present study, thrombocytopenia, coagulopathy, and the use of antiplatelets were not associated with either PRB or short-term prognosis. This is consistent with the results reported in prior studies.13,14,25 Early surgery within 4 hours of symptom onset is a reported risk factor for PRB.12 In contrast, a meta-analysis performed by Gregson BA indicated that early surgery within 8 hours post-hemorrhage can improve the prognosis of ICH patients.33 However, we and others have demonstrated that the timing of surgery is not correlated with either PRB or prognosis.13,14 This study confirmed that PRB is a risk factor for poor prognosis in patients with SCH.12 GCS score at admission was another independent risk factor for short-term poor prognosis in this study. The GCS score at admission is widely accepted as an independent risk factor for both short- and long-term poor prognosis in patients with SCH. Al Safatli D showed that a GCS score <10 on admission was associated with increased 30-day mortality and poorer short‑term outcomes of patients with SCH.34 Other researchers have demonstrated that GCS scores ≤ 8 on arrival are a strong predictive factor for first-week mortality and short- and long-term poor prognoses of patients with SCH.35–38 Hydrocephalus was observed in 22.6% of all patients, similar to the previously reported 23%.39 Additionally, hydrocephalus and age have been indicated to be predictors for poor outcomes of SCH patients,38,40,41 and the results from this study and others revealed that they were not related to short-term poor prognosis.34,37 This retrospective cohort study had some limitations. First, the study was limited by the small sample size due to the scarcity of patients with SCH, and a larger number of patients from multiple centers is needed to verify our conclusions. Second, different neurosurgeons performed different surgical procedures, affecting whether suboccipital decompression is required and when to remove the drainage tube. These details were not captured in this study. Third, CT angiography was only performed in 23 patients; therefore, we are not sure whether the spot sign was related to PRB and poor short-term prognosis. Finally, most patients with SCH have consciousness disturbances when they are admitted to the hospital. The time of onset and accompanying diseases stated by family members may have led to bias.

Conclusions

Hematoma volume is likely to be a strong predictor of PRB among patients with SCH. Neurosurgeons should carefully control bleeding in the operative field when surgically treating SCH in patients with large hematomas. GCS scores ≤ 8 on arrival and PRB were significant predictors of short‑term poor outcome. For patients with a GCS score ≤ 8 on admission and/or PRB, it is important to weigh the benefit of survival against the high risk of poor quality of life and significant functional disability that may be achieved by extended or intensified therapy.
  41 in total

1.  Clinical and radiographic predictors of neurological outcome following posterior fossa decompression for spontaneous cerebellar hemorrhage.

Authors:  Nader S Dahdaleh; Brian J Dlouhy; Stephanus V Viljoen; Ana W Capuano; David K Kung; James C Torner; David M Hasan; Matthew A Howard
Journal:  J Clin Neurosci       Date:  2012-06-20       Impact factor: 1.961

2.  Does Noncontrast Computed Tomography Scan Predict Rebleeding After Endoscopic Surgery for Spontaneous Intracerebral Hemorrhage?

Authors:  Kenji Yagi; Yoshifumi Tao; Keijirou Hara; Satoshi Hirai; Hiroki Takai; Keita Kinoshita; Naoki Oyama; Yoshiki Yagita; Shunji Matsubara; Masaaki Uno
Journal:  World Neurosurg       Date:  2019-04-06       Impact factor: 2.104

3.  Prediction of Long-Term Outcome After Intracerebral Hemorrhage Surgery.

Authors:  Ebba Troberg; Erik Kronvall; Björn M Hansen; Ola G Nilsson
Journal:  World Neurosurg       Date:  2018-12-19       Impact factor: 2.104

4.  Evaluating the Predictive Value of Island Sign and Spot Sign for Hematoma Expansion in Spontaneous Intracerebral Hemorrhage.

Authors:  Jun Zheng; Zhiyuan Yu; Chuan Wang; Mou Li; Xiaoze Wang; Chao You; Hao Li
Journal:  World Neurosurg       Date:  2018-06-05       Impact factor: 2.104

5.  Evolution of computed tomography angiography spot sign is consistent with a site of active hemorrhage in acute intracerebral hemorrhage.

Authors:  Dar Dowlatshahi; Jason K Wasserman; Franco Momoli; William Petrcich; Grant Stotts; Matthew Hogan; Mukul Sharma; Richard I Aviv; Andrew M Demchuk; Santanu Chakraborty
Journal:  Stroke       Date:  2013-10-31       Impact factor: 7.914

6.  Long-term outcome and prognostic factors after spontaneous cerebellar hemorrhage.

Authors:  Vincent Pong; Koon-Ho Chan; Boon-Hor Chong; Wai-Man Lui; Gilberto Ka-Kit Leung; Hung-Fat Tse; Jenny Kan-Suen Pu; Chung-Wah Siu
Journal:  Cerebellum       Date:  2012-12       Impact factor: 3.847

7.  Association of Surgical Hematoma Evacuation vs Conservative Treatment With Functional Outcome in Patients With Cerebellar Intracerebral Hemorrhage.

Authors:  Joji B Kuramatsu; Alessandro Biffi; Stefan T Gerner; Jochen A Sembill; Maximilian I Sprügel; Audrey Leasure; Lauren Sansing; Charles Matouk; Guido J Falcone; Matthias Endres; Karl Georg Haeusler; Jan Sobesky; Johannes Schurig; Sarah Zweynert; Miriam Bauer; Peter Vajkoczy; Peter A Ringleb; Jan Purrucker; Timolaos Rizos; Jens Volkmann; Wolfgang Müllges; Peter Kraft; Anna-Lena Schubert; Frank Erbguth; Martin Nueckel; Peter D Schellinger; Jörg Glahn; Ulrich J Knappe; Gereon R Fink; Christian Dohmen; Henning Stetefeld; Anna Lena Fisse; Jens Minnerup; Georg Hagemann; Florian Rakers; Heinz Reichmann; Hauke Schneider; Jan Rahmig; Albert Christian Ludolph; Sebastian Stösser; Hermann Neugebauer; Joachim Röther; Peter Michels; Michael Schwarz; Gernot Reimann; Hansjörg Bäzner; Henning Schwert; Joseph Claßen; Dominik Michalski; Armin Grau; Frederick Palm; Christian Urbanek; Johannes C Wöhrle; Fahid Alshammari; Markus Horn; Dirk Bahner; Otto W Witte; Albrecht Günther; Gerhard F Hamann; Manuel Hagen; Sebastian S Roeder; Hannes Lücking; Arnd Dörfler; Fernando D Testai; Daniel Woo; Stefan Schwab; Kevin N Sheth; Hagen B Huttner
Journal:  JAMA       Date:  2019-10-08       Impact factor: 56.272

8.  Antiplatelet therapy does not increase mortality of surgical treatment for spontaneous intracerebral haemorrhage.

Authors:  Xiaowen Song; Qian Zhang; Yong Cao; Shuo Wang; Jizong Zhao
Journal:  Clin Neurol Neurosurg       Date:  2020-04-28       Impact factor: 1.876

9.  Early surgery versus initial conservative treatment in patients with spontaneous supratentorial lobar intracerebral haematomas (STICH II): a randomised trial.

Authors:  A David Mendelow; Barbara A Gregson; Elise N Rowan; Gordon D Murray; Anil Gholkar; Patrick M Mitchell
Journal:  Lancet       Date:  2013-05-29       Impact factor: 79.321

10.  Prediction of 30-day mortality in spontaneous cerebellar hemorrhage.

Authors:  Diaa Al Safatli; Albrecht Guenther; Aaron Lawson McLean; Albrecht Waschke; Rolf Kalff; Christian Ewald
Journal:  Surg Neurol Int       Date:  2017-11-20
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