Spontaneous Intracerebral Hemorrhage Research Articles

Letter to the Editor Regarding “Endoscopic Surgery Versus Stereotactic Aspiration in Spontaneous Intracerebral Hemorrhage Treatment: A Systematic Review and Meta-Analysis”

Letter to the Editor Regarding “Endoscopic Surgery Versus Stereotactic Aspiration in Spontaneous Intracerebral Hemorrhage Treatment: A Systematic Review and Meta-Analysis”

Hybrid clinical-radiomics model based on fully automatic segmentation for predicting the early expansion of spontaneous intracerebral hemorrhage: A multi-center study

BackgroundEarly prediction of hematoma expansion (HE) is important for the development of therapeutic strategies for spontaneous intracerebral hemorrhage (sICH). Radiomics can help to predict early hematoma expansion in intracerebral hemorrhage. However, complex image processing procedures, especially hematoma segmentation, are time-consuming and dependent on assessor experience. We provide a fully automated hematoma segmentation method, and construct a hybrid predictive model for risk stratification of hematoma expansion. PurposeTo propose an automatic approach for predicting early hemorrhage expansion after spontaneous intracerebral hemorrhage using deep-learning and radiomics methods. MethodsA total of 258 patients with sICH were retrospectively enrolled for model construction and internal validation, while another two cohorts (n=87, 149) were employed for independent validation. For hemorrhage segmentation, an iterative segmentation procedure was performed to delineate the area using an nnU-Net framework. Radiomics models of intra-hemorrhage and multiscale peri-hemorrhage were established and evaluated, and the best discriminative-scale peri-hemorrhage radiomics model was selected for further analysis. Combining clinical factors and intra- and peri-hemorrhage radiomics signatures, a hybrid nomogram was constructed for the early HE prediction using multivariate logistic regression. For model validation, the receiver operating characteristic (ROC) curve analyses and DeLong test were used to evaluate the performances of the constructed models, and the calibration curve and decision curve analysis were performed for clinical application. ResultsOur iterative auto-segmentation model showed satisfactory results for hematoma segmentation in all four cohorts. The Dice similarity coefficient of this hematoma segmentation model reached 0.90, showing an expert-level accuracy in hematoma segmentation. The consumed time of the efficient delineation was significantly decreased, from 18 min to less than 2 min, with the assistance of the auto-segmentation model. The radiomics model of 2-mm peri-hemorrhage had a preferable area under ROC curve (AUC) of 0.840 (95 % confidence interval [CI]: 0.768, 0.912) compared with the original (0-mm dilatation) model with an AUC of 0.796 (95 % CI: 0.717, 0.875). The clinical–radiomics hybrid model showed better performances for HE prediction, with AUC of 0.853, 0.852, 0.772, and 0.818 in the training, internal validation, and independent validation cohorts 1 and 2, respectively. ConclusionsThe fully automatic clinical–radiomics model based on deep learning and radiomics exhibits a good ability for hematoma segmentation and a favorable performance in stratifying HE risks.

Traditional craniotomy versus current minimally invasive surgery for spontaneous supratentorial intracerebral haemorrhage: A propensity-matched analysis.

Minimally invasive surgery (MIS) and craniotomy (CI) are the current treatments for spontaneous supratentorial cerebral haemorrhage (SSTICH). To compare the efficacy and safety of MIS and CI for the treatment of SSTICH. Clinical and imaging data of 557 consecutive patients with SSTICH who underwent MIS or CI between January 2017 and December 2022 were retrospectively analysed. The patients were divided into two subgroups: The MIS group and CI group. Propensity score matching was performed to minimise case selection bias. The primary outcome was a dichotomous prognostic (favourable or unfavourable) outcome based on the modified Rankin Scale (mRS) score at 3 months; an mRS score of 0-2 was considered favourable. In both conventional statistical and binary logistic regression analyses, the MIS group had a better outcome. The outcome of propensity score matching was unexpected (odds ratio: 0.582; 95%CI: 0.281-1.204; P = 0.144), which indicated that, after excluding the interference of each confounder, different surgical modalities were more effective, and there was no significant difference in their prognosis. Deciding between MIS and CI should be made based on the individual patient, considering the hematoma size, degree of midline shift, cerebral swelling, and preoperative Glasgow Coma Scale score.

Feasibility Study of Endoscopic Surgery for Spontaneous Intracerebral Hemorrhage with Large Hematoma: a Comparison with Craniotomy Using Propensity Score Matching Analysis.

Spontaneous intracerebral hemorrhage (ICH) with large hematomas is commonly treated with craniotomy combined with decompressive craniectomy, procedures that involve huge trauma and require subsequent cranioplasty. Recently, endoscopic surgery has shown significant promise in treating ICH, but its feasibility for large hematomas remains uncertain. Therefore, this study aims to compare endoscopic surgery with craniotomy and to evaluate the efficacy and safety of endoscopic surgery in treating large hematomas ICH. A retrospective analysis was conducted on the clinical data from patients with spontaneous supratentorial ICH and hematoma volumes exceeding 50 mL who underwent either endoscopic surgery or craniotomy. Propensity score matching analysis was employed to reduce selection bias. The efficacy and safety of endoscopic surgery were evaluated by analyzing blood loss, postoperative edema, mortality rate, complications, and the Glasgow Outcome Scale (GOS) at 6-month follow-up. A total of 113 cases that met the criteria were collected, with 65 in the endoscopic surgery group and 48 in the craniotomy group. After propensity score matching, each group contained 34 cases. The mean hematoma volume was 64.84 ± 11.02 mL in the endoscopy group and 66.57 ± 12.77 mL in the craniotomy group (p = 0.554). Hematoma evacuation rates were 93.27% in the endoscopy group and 89.34% in the craniotomy group (p = 0.141). The endoscopy group exhibited lower blood loss, shorter surgical time, and reduced postoperative edema volume at 24 h compared to the craniotomy group. The rate of pulmonary infection was slightly lower in the endoscopy group compared to the craniotomy group (70.59% vs. 91.18%, p = 0.031), but there were no statistically significant differences in overall complications and mortality rate between the two groups. GOS scores were similar in both groups at the 6-month follow-up. Endoscopic surgery is safe and feasible for treating spontaneous supratentorial ICH with large hematomas, demonstrating efficacy similar to that of craniotomy with decompressive craniectomy.

Acute Myocardial Injury in Spontaneous Intracerebral Hemorrhage: A Secondary Observational Analysis of the FAST Trial.

Acute myocardial injury is associated with poor outcomes in patients with acute ischemic stroke, but its prognostic significance in patients with spontaneous intracerebral hemorrhage remains unclear. We investigated whether acute myocardial injury and the direction of the cardiac troponin I (cTnI) change (rising versus falling) affect post-intracerebral hemorrhage outcomes. We re-analyzed the FAST (Factor-Seven-for-Acute-Hemorrhagic-Stroke) trial. Acute myocardial injury was defined as at least 1 cTnI value above the upper reference limit with a rise/fall of >20%. Logistic regression tested for associations (1) between acute myocardial injury (presence versus absence) and poor outcome (modified Rankin Scale 4-6) and mortality at 15 and 90 days; (2) among 3 groups (rising versus falling versus no acute myocardial injury) and outcomes. Among the 841 FAST participants, 785 patients were included. Acute myocardial injury was detected in 29% (n=227); 170 had rising cTnI. At 15 and 90 days, respectively, those with acute myocardial injury had higher odds of poor outcome (adjusted odds ratio) ([aOR] 2.3 [95% CI, 1.3-3.9]); and adjusted odds ratio 2.5 [95% CI, 1.6-3.9];, and higher odds of mortality (adjusted odds ratio 2.4 [95% CI, 1.4-4.3]; and adjusted odds ratio 2.2 [CI, 1.3-3.6]) than patients without. There was no interaction between FAST group assignment and myocardial injury, and associations between myocardial injury and outcomes were consistent across group assignments. Rising cTnI was associated with the highest risk of poor outcomes and mortality. In this secondary analysis of the FAST trial, acute myocardial injury was common and associated with poor outcomes. The direction of the cTnI change might provide additional risk stratification after intracerebral hemorrhage.

Characteristics, predictors and outcomes of early postoperative cerebral infarction on computed tomography in spontaneous intracerebral hemorrhage

Early postoperative cerebral infarction (ePCI) is a serious complication of spontaneous intracerebral hemorrhage (SICH). Yet, no study has specifically focused on ePCI among SICH patients. Our study aims to investigate the characteristics, predictors, and outcomes of ePCI observed on computed tomography (CT) within 72 h after surgery in patients with supratentorial SICH. Data from a single-center SICH study conducted from May 2015 to September 2022 were retrospectively analyzed. We described the characteristics of ePCI. Predictors were identified through logistic regression analysis, and the impact of ePCI on six-month mortality was examined using a Cox regression model. Subgroup analyses and the “E-value” approach assessed the robustness of the association between ePCI and mortality. A retrospective analysis of 637 out of 3938 SICH patients found that 71 cases (11.1%) developed ePCI. The majority of ePCI cases occurred on the bleeding side (40/71, 56.3%) and affected the middle cerebral artery (MCA) territory (45/71, 63.4%). Multivariable analysis showed that the Glasgow Coma Scale (GCS) score (odds ratio (OR), 0.62; 95% CI, 0.48–0.8; p < 0.001), bleeding volume (per 100 ml) (OR, 1.17; 95% CI, 1.03–1.32; p = 0.016), hematoma volume (per 10 ml) (OR, 1.14; 95%CI, 1.02–1.28; p = 0.023) and bilateral brain hernia (OR, 6.48; 95%CI, 1.71–24.48; p = 0.006) independently predicted ePCI occurrence. ePCI was significantly associated with increased mortality (adjusted hazard ratio (HR), 3.6; 95% CI, 2.2—5.88; p < 0.001). Subgroup analysis and E-value analysis (3.82—6.66) confirmed the stability of the association. ePCI is a common complication of SICH and can be predicted by low GCS score, significant bleeding, large hematoma volume, and brain hernia. Given its significant increase in mortality, ePCI should be explored in future studies.

The balance between hemorrhage and thrombosis in patients surviving spontaneous intracerebral bleeding: the nightmare of a neurologist

The balance between hemorrhage and thrombosis in patients surviving spontaneous intracerebral bleeding: the nightmare of a neurologist

Volumetric Assessment of Traumatic Intracranial Hematomas: Is ABC/2 Reliable?

Accurate measurement of traumatic intracranial hematoma volume is important for assessing disease progression and prognosis, as well as for serving as an important end-point in clinical trials aimed at preventing hematoma expansion. While the ABC/2 formula has traditionally been used for volume estimation in spontaneous intracerebral hemorrhage, its adaptation to traumatic hematomas lacks validation. This study aimed to compare the accuracy of ABC/2 with computer-assisted volumetric analysis (CAVA) in estimating the volumes of traumatic intracranial hematomas. We performed a dual-center observational study that included adult patients with moderate-to-severe traumatic brain injury. Volumes of intracerebral, subdural (SDHs), and epidural hematomas from admission computed tomography scans were measured using ABC/2 and CAVA, and compared using the Wilcoxon signed-rank test, Spearman's rank correlation, Lin's concordance correlation coefficient (CCC), and Bland-Altman plots. Prognostic significance for outcomes was evaluated through logistic and linear regression models. In total, 1,179 patients with 1,543 hematomas were included. Despite a high correlation (Spearman coefficients between 0.95 and 0.98) and excellent concordance (Lin's CCC from 0.89 to 0.96) between ABC/2 and CAVA, ABC/2 overestimated hematoma volumes compared with CAVA, in some instances exceeding 50 ml. Bland-Altman analysis highlighted wide limits of agreement, especially in SDH. While both methods demonstrated comparable accuracy in predicting outcomes, CAVA was slightly better at predicting craniotomies and midline shift. We conclude that while ABC/2 provides a generally reliable volumetric assessment suitable for descriptive purposes and as baseline variables in studies, CAVA should be the gold standard in clinical situations and studies requiring more precise volume estimations, such as those using hematoma expansion as an outcome.

Heart Rate Variability and Functional Outcomes of Patients with Spontaneous Intracerebral Hemorrhage.

The relationship between heart rate variability (HRV) changes potentially indicating autonomic dysregulation following spontaneous intracerebral hemorrhage (ICH) and functional outcome has not yet been fully elucidated. This study investigated the effects of HRV during the initial 96 h after admission on 90-day functional outcome in ICH patients. We included patients with spontaneous ICH in a prospective cohort single-center study. Continuous HR data were retrieved from the Intellispace Critical Care and Anesthesia information system (Philips Healthcare) and analyzed within the following time intervals: 0-2, 0-8, 0-12, 0-24, 0-48, 0-72, and 8-16, 16-24, 24-48, 48-72, 72-96 h after admission. HRV was determined from all available HR values by calculating the successive variability (SV), standard deviation (SD), and coefficient of variation (CV). Low HRV was set as SD ≤ 11.4 ms, and high HRV as SD > 11.4 ms. The clinical severity of ICH was assessed using the National Institutes of Health Stroke Scale (NIHSS) and functional outcome using the modified Rankin Scale (mRS). Good functional outcome was defined as mRS 0-2. The cohort included 261 ICH patients (mean age ± SD 69.6 ± 16.5 years, 48.7% female, median NIHSS 6 (2, 12), median ICH score 1 (0, 2), of whom 106 (40.6%) had good functional outcome. All patients had the lowest HRV at admission, which increased during the first two days. Comparing ICH patients with low HRV (n = 141) and high HRV (n = 118), those with good outcome showed significantly lower HRV during the first three days (0-72 h: HRV SD good outcome 10.6 ± 3.5 ms vs. poor outcome 12.0 ± 4.0 ms; p = 0.004). Logistic regression revealed that advanced age, high premorbid mRS, and high NIHSS at admission were significant predictors of poor functional outcome, while reduced SD of HRV showed a non-significant trend towards good functional outcome (0-72 h: OR 0.898; CI 0.800-1.008; p = 0.067). Our results indicate autonomic dysfunction with sympathetic hyperactivity after spontaneous ICH, as reflected by the evidence of the lower HRV in the first days. Initially increased sympathetic tone appears to have a protective effect, as suggested by the comparatively lower HRV in patients with good functional outcome at the first days.

Deep learning models for separate segmentations of intracerebral and intraventricular hemorrhage on head CT and segmentation quality assessment.

The volume measurement of intracerebral hemorrhage (ICH) and intraventricular hemorrhage (IVH) provides critical information for precise treatment of patients with spontaneous ICH but remains a big challenge, especially for IVH segmentation. However, the previously proposed ICH and IVH segmentation tools lack external validation and segmentation quality assessment. This study aimed to develop a robust deep learning model for the segmentation of ICH and IVH with external validation, and to provide quality assessment for IVH segmentation. In this study, a Residual Encoding Unet (REUnet) for the segmentation of ICH and IVH was developed using a dataset composed of 977 CT images (all contained ICH, and 338 contained IVH; a five-fold cross-validation procedure was adopted for training and internal validation), and externally tested using an independent dataset consisting of 375 CT images (all contained ICH, and 105 contained IVH). The performance of REUnet was compared with six other advanced deep learning models. Subsequently, three approaches, including Prototype Segmentation (ProtoSeg), Test Time Dropout (TTD), and Test Time Augmentation (TTA), were employed to derive segmentation quality scores in the absence of ground truth to provide a way to assess the segmentation quality in real practice. For ICH segmentation, the median (lower-quantile-upper quantile) of Dice scores obtained from REUnet were 0.932 (0.898-0.953) for internal validation and 0.888 (0.859-0.916) for external test, both of which were better than those of other models while comparable to that of nnUnet3D in external test. For IVH segmentation, the Dice scores obtained from REUnet were 0.826 (0.757-0.868) for internal validation and 0.777 (0.693-0.827) for external tests, which were better than those of all other models. The concordance correlation coefficients between the volumes estimated from the REUnet-generated segmentations and those from the manual segmentations for both ICH and IVH ranged from 0.944 to 0.987. For IVH segmentation quality assessment, the segmentation quality score derived from ProtoSeg was correlated with the Dice Score (Spearman r=0.752 for the external test) and performed better than those from TTD (Spearman r=0.718) and TTA (Spearman r=0.260) in the external test. By setting a threshold to the segmentation quality score, we were able to identify low-quality IVH segmentation results by ProtoSeg. The proposed REUnet offers a promising tool for accurate and automated segmentation of ICH and IVH, and for effective IVH segmentation quality assessment, and thus exhibits the potential to facilitate therapeutic decision-making for patients with spontaneous ICH in clinical practice.

Based on hematoma and perihematomal tissue NCCT imaging radiomics predicts early clinical outcome of conservatively treated spontaneous cerebral hemorrhage

Spontaneous intracerebral hemorrhage (ICH) is a very serious kind of stroke. If the outcome of patients can be accurately assessed at the early stage of disease occurrence, it will be of great significance to the patients and clinical treatment. The present study was conducted to investigate whether non-contrast computer tomography (NCCT) models of hematoma and perihematomal tissues could improve the accuracy of short-term prognosis prediction in ICH patients with conservative treatment. In this retrospective analysis, a total of 166 ICH patients with conservative treatment during hospitalization were included. Patients were randomized into a training group (N = 132) and a validation group (N = 34) in a ratio of 8:2, and the functional outcome at 90 days after clinical treatment was assessed by the modified Rankin Scale (mRS). Radiomic features of hematoma and perihematomal tissues of 5 mm, 10 mm, 15 mm were extracted from NCCT images. Clinical factors were analyzed by univariate and multivariate logistic regression to identify independent predictive factors. In the validation group, the mean area under the ROC curve (AUC) of the hematoma was 0.830, the AUC of the perihematomal tissue within 5 mm, 10 mm, 15 mm was 0.792, 0.826, 0.774, respectively, and the AUC of the combined model of hematoma and perihematomal tissue within 10 mm was 0.795. The clinical-radiomics nomogram consisting of five independent predictors and radiomics score (Rad-score) of the hematoma model were used to assess 90-day functional outcome in ICH patients with conservative treatment. Our findings found that the hematoma model had better discriminative efficacy in evaluating the early prognosis of conservatively managed ICH patients. The visual clinical-radiomics nomogram provided a more intuitive individualized risk assessment for 90-day functional outcome in ICH patients with conservative treatment. The hematoma could remain the primary therapeutic target for conservatively managed ICH patients, emphasizing the need for future clinical focus on the biological significance of the hematoma itself.

Role of inflammatory biomarkers in mediating the effect of lipids on spontaneous intracerebral hemorrhage: a two-step, two-sample Mendelian randomization study.

Spontaneous intracerebral hemorrhage (sICH) is a form of stroke with high mortality rates and significant neurological implications for patients. Abnormalities in lipid metabolism have been implicated in various cardiovascular diseases, yet their relationship with sICH remains insufficiently explored, particularly concerning their association with inflammatory factors. Employing a two-sample, two-step Mendelian Randomization approach, combined with data from GWAS datasets, to investigate the causal relationship between plasma lipid levels and sICH. Additionally, the role of inflammatory factors in this relationship was examined, and sensitivity analyses were conducted to ensure the robustness of the results. The results indicate a significant causal relationship between 19 plasma lipid metabolites and sICH. Furthermore, mediation analysis revealed that three distinct lipids, namely Sterol ester (27:1/20:2), Phosphatidylcholine (16:0_20:4), and Sphingomyelin (d34:1), exert their influence on sICH through inflammatory factors. TRAIL (OR: 1.078, 95% CI: 1.016-1.144, p = 0.013) and HGF (OR: 1.131, 95% CI: 1.001-1.279, p = 0.049) were identified as significant mediators. This study provides new evidence linking abnormalities in lipid metabolism with sICH and elucidates the role of inflammatory factors as mediators. These findings contribute to a better understanding of the pathogenesis of sICH and offer novel insights and therapeutic strategies for its prevention and treatment.

Clinical Characteristics and Outcome of Spontaneous Intracerebral Hemorrhage

Background: Stroke is the second leading cause of death and disability globally. Intracerebral hemorrhage represents a prominent subtype comprising 10-20% of all strokes and posing substantial challenges, particularly in low-income countries. This study aims to unravel the clinical profile and outcomes of spontaneous ICH patients at our institute. Materials and Methods: This is a prospective observational study conducted at the department of Neurosurgery Nobel Medical College Teaching Hospital, Biratnagar, Nepal over a period of one and half years. Results: In the Present study, a total of 285 populations were studied, where there was male preponderance with the mean age of 57.9 years. Commonest clinical manifestation was sudden onset headache (75.1%) followed by decreased level of consciousness. Hypertension was the commonest cause of ICH. Basal ganglia were the primary location of bleed. The statistical analysis revealed a significant difference in the mean clot volume between survivors and non-survivors. There was a strong association between ventricular extension of hematoma and outcome. Surgical hematoma evacuation was performed in 30.9% of cases. Favorable outcomes, defined by a modified Rankin Scale score of 0-3, were achieved in 58.9% of participants. Conclusion: Age, sudden onset headache, and hypertension predict mortality in primary intracerebral hemorrhage (ICH), particularly with advanced age linked to poorer outcomes. A Glasgow Coma Score less than eight increases mortality risk, while clot volume and intraventricular extension play crucial roles in ICH outcome.

Predictors of spontaneous intracerebral hemorrhage mortality: a community-based study in Brno, Czech Republic.

Intracerebral hemorrhage (ICH) is a serious medical condition with high mortality. However, factors leading to long-term mortality after ICH are largely unclear. The aim of this community-based study is to assess predictors of long-term mortality after spontaneous ICH. We identified all patients admitted with spontaneous ICH to hospitals with a certified stroke unit in Brno, the second largest city in the Czech Republic (CR), in 2011, the year of the Czech Population and Housing Census. We reviewed their medical records for risk factors, radiographic parameters, and measures of post-stroke neurological deficit [National Institutes of Health Stroke Scale (NIHSS)]. Using the dates of death from the Czech National Mortality Register, we calculated mortality at 30days, six months, one year, and three years after the ICH. Multivariate analysis with forward stepwise logistic regression was performed to determine independent predictors of mortality (p < 0.05). In 2011, 1086 patients with stroke were admitted to the four stroke-certified hospitals in Brno, CR. Of these, 134 had spontaneous ICH, with complete data available in 93 of them entering the final analysis. The mortality at 30days, 6months, 1year, and 3years post-ICH was 34%, 47%, 51%, and 63%, respectively. The mortality was highest in the first few days post-event, with 50% of patients dying in 255days and average survival being 884 ± 90days. Both NIHSS and modified ICH (MICH) score showed to be strong and reliable predictors of short- as well as long-term mortality; the risk of death post-ICH increased with older age and size of ICH. Other risk factors contributing to higher, primarily shorter-term mortality included history of cardiac failure, myocardial infarction, or atrial fibrillation. In our community-based study, we found that severity of neurological deficit at admission (NIHSS), combined with age and size of ICH, well predicted short- as well as long-term mortality after spontaneous ICH. A history of cardiac failure, myocardial infarction, or atrial fibrillation at presentation were also predictors of mortality, underscoring the need for optimal cardiac management in patients with ICH.

Timing Matters: Ultra-Early and Early versus Late Thromboprophyaxis Following Spontaneous Intracerebral Hemorrhage: A Systematic Review and Meta-Analysis.

Spontaneous intracerebral hemorrhage (ICH) represents a critical and potentially devastating medical event resulting from the rupture of intracerebral vessels. Patients afflicted with ICH face an increased risk of venous thromboembolism (VTE) due to factors such as immobility. However, determining the ideal timing for initiating venous thromboembolism thromboprophylaxis (TP) remains uncertain, as it may carry the potential risk of exacerbating hematoma expansion. Thus, our objective was to ascertain the optimal timing for initiating TP following ICH through a comprehensive systematic review and meta-analysis.This systematic review and meta-analysis were performed following the Cochrane Collaboration and the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement guidelines, considering outcomes based on the time of intervention: Ultra early (UEPT) < 24h, Early (EPT) < 48h, Late (LPT) > 48h to perform an analysis on hematoma expansion and mortality.Of 2.777 Hematoma expansion was not more frequent in the 440 patients receiving UEPT/EPT (n = 440) versus 565 receiving LPT (Odds ratio (OR) 0.94 (95% CI; 0.62 to 1.43; I2 = 0%)). Similarly, mortality was not lower in the 293 received UEPT or EPT versus 477 receiving LPT (OR 0.63 (95% CI; 0.39 to 1.0; I2 = 0%).This study, through a systematic review and meta-analysis, conclusively found no difference in intracranial hematoma expansion and/or increased mortality between the use of heparin in the early thromboprophylaxis (< 48h) group compared to the late thromboprophylaxis (> 48h) group. Implementing this approach in the management of spontaneous cerebral hemorrhage could facilitate progress towards more optimal care protocols.

Combined effect of cortical superficial siderosis and cerebral microbleed on short-term and long-term outcomes after intracerebral haemorrhage

Background and purposeCortical superficial siderosis (cSS) and cerebral microbleed (CMB) have distinct effects on intracerebral haemorrhage (ICH). We aim to investigate the combined effect of cSS and CMB on outcomes...

No association of brain CT blend sign with functional outcomes in patients with spontaneous supratentorial intracerebral hemorrhage after craniotomy

ObjectiveThis study retrospectively analyzed the association of blend sign with long-term outcomes in patients who underwent craniotomy following spontaneous supratentorial intracerebral hemorrhage. MethodsA retrospective analysis was conducted on a cohort comprising 259 patients. Initially, patients were stratified into two groups: the blend sign group and the non-blend sign group. Subsequently, the neurological status of these patients was assessed using the NIHSS, GCS, and mRS following craniotomy. Furthermore, at six months post-craniotomy, patients were categorized into either the “good outcome group” or the “poor outcome group”. A multivariate regression analysis was applied to ascertain the independent correlation between the CT blend sign and prognosis. ResultsNo statistically significant disparities were observed in the proportion of patients experiencing favorable outcomes during the follow-up period between the two groups. Nevertheless, it is noteworthy that the incidence of the blend sign was higher among patients in the good outcome group compared to those in the poor outcome group. Multivariate regression analysis disclosed that poor outcomes following craniotomy was not associated with the blend sign. ConclusionsThe presence of the blend sign may not serve as a reliable predictor of functional outcomes in patients undergoing craniotomy for spontaneous supratentorial ICH.

Cerebral small vessel disease modifies outcomes after minimally invasive surgery for intracerebral haemorrhage

BackgroundMinimally invasive surgery (MIS) for spontaneous supratentorial intracerebral haemorrhage (ICH) is controversial but may be beneficial if end-of-treatment (EOT) haematoma volume is reduced to ≤15 mL. We explored whether MRI...

Incidence, surgical eligibility and outcome of spontaneous intracerebral haemorrhage in Southwest Finland – A retrospective study

IntroductionSpontaneous intracerebral haemorrhage (sICH) is a major cause of morbidity and mortality. Large-scale trials have shown neutral outcomes for surgical interventions. The recent trial suggested functional benefits from surgical intervention. Surgical treatment for sICH is likely increasing. Research questionTo determine the incidence of sICH in Southwest Finland, standardized to the European population, and to identify the proportion of large sICH patients eligible for surgery based on previously published trial criteria. We also examined factors associated with outcomes, including the effects of anticoagulant and antithrombotic medications. Material and methodsA retrospective clinical study identified 596 ICH cases treated at Turku University Hospital (2018–2019), of which 286 were supratentorial sICHs. Variables were analysed using a t-test, chi-squared or Fisher's exact test. A multivariate logistic modelling was performed to evaluate outcome differences. ResultsThe sICH incidence was 29.9/100,000 persons per year, with the highest European population age and sex standardized rates in individuals over 80 years old (110/100,000 males, 142/100,000 females). The incidence of sICH patients meeting surgical criteria was 2.7/100,000 persons per year. Out of 286 patients, 26 were eligible for surgery and had unfavourable outcomes (p = 0.0049). Multivariate analysis indicated a significant decrease in favourable outcomes with warfarin (p = 0.016, OR 0.42) and direct-acting anticoagulants (DOACs) (p = 0.034, OR 0.38), while antithrombotic medications showed no significant effect. Discussion and conclusionWe identified comparable incidence of sICH as European average. A small proportion of sICH cases were identified to be candidates for surgical intervention. Anticoagulants were associated with increased risk of unfavourable outcomes.

Evaluating the strength and quality of evidence in American heart association/American stroke association's guidelines for aneurysmal subarachnoid hemorrhage and spontaneous intracerebral hemorrhage

BackgroundClinical practice recommendations guide healthcare decisions. This study aims to evaluate the strength and quality of evidence supporting the American Heart Association (AHA)/American Stroke Association (ASA) guidelines for aneurysmal subarachnoid hemorrhage (aSAH) and spontaneous intracerebral hemorrhage (ICH). MethodsWe reviewed the current AHA/ASA guidelines for aSAH and spontaneous ICH and compared with previous guidelines. Guidelines were classified based on the Class of recommendation (COR) and Level of evidence (LOE). COR signifies recommendation strength (COR 1: Strong; COR 2a: Moderate; COR 2b: Weak; COR 3: No Benefit/Harm), while LOE denotes evidence quality (LOE A: High-Quality; LOE B-NR: Moderate-Quality, Not Randomized; LOE B-R: Moderate-Quality, Randomized; LOE C-EO: Expert Opinion; LOE C-LD: Limited Data). ResultsFor aSAH, we identified 84 recommendations across 15 guideline categories. Of these, 31% were classified as COR I, 30% as COR 2a, 17% as COR 2b, and 18% as COR 3. In terms of LOE, 7% were based on LOE A, 10% on LOE B-R, 65% on LOE B-NR, 14% on LOE C-LD, and 5% on LOE C-EO. Compared to previous guidelines, there was a 46% decrease in LOE A, a 45% increase in LOE B, and an 11% decrease in LOE C. For spontaneous ICH, 124 guidelines were identified across 31 guideline categories. Of these, 28% were COR I, 32% COR 2b, and 9% COR 3. For LOE, 4% were based on LOE A, 35% on LOE B-NR, and 42% on LOE C-LD. Compared to previous guidelines, there was a 78% decrease in LOE A, an 82% increase in LOE B, and a 14% increase in LOE C. This analysis highlights that less than a third of AHA/ASA guidelines are classified as the highest class of recommendation, with less than 10% based on the highest LOE. ConclusionLess than a third of AHA/ASA guidelines on aSAH and spontaneous ICH are classified as the highest class of recommendation with less than 10% based on highest LOE. There appears to be a decrease in proportion of guidelines based on highest LOE in most recent guidelines.