Intracerebral Hemorrhage Volume Research Articles

Effects of Achieving Rapid, Intensive, and Sustained Blood Pressure Reduction in Intracerebral Hemorrhage Expansion and Functional Outcome.

The time taken to achieve blood pressure (BP) control could be pivotal in the benefits of reducing BP in acute intracerebral hemorrhage (ICH). We aimed to assess the relationship between the rapid achievement and sustained maintenance of an intensive systolic BP (SBP) target with radiologic, clinical, and functional outcomes. Rapid, Intensive, and Sustained BP lowering in Acute ICH (RAINS) was a multicenter, prospective, observational cohort study of adult patients with ICH <6 hours and SBP ≥150 mm Hg at 4 Comprehensive Stroke Centers during a 4.5-year period. Patients underwent baseline and 24-hour CT scans and 24-hour noninvasive BP monitoring. BP was managed under a rapid (target achievement ≤60 minutes), intensive (target SBP <140 mm Hg), and sustained (target stability for 24 hours) BP protocol. SBP target achievement ≤60 minutes and 24-hour SBP variability were recorded. Outcomes included hematoma expansion (>6 mL or >33%) at 24 hours (primary outcome), early neurologic deterioration (END, 24-hour increase in NIH Stroke Scale score ≥4), and 90-day ordinal modified Rankin scale (mRS) score. Analyses were adjusted by age, sex, anticoagulation, onset-to-imaging time, ICH volume, and intraventricular extension. We included 312 patients (mean age 70.2 ± 13.3 years, 202 [64.7%] male). Hematoma expansion occurred in 70/274 (25.6%) patients, END in 58/291 (19.9%), and the median 90-day mRS score was 4 (interquartile range, 2-5). SBP target achievement ≤60 minutes (178/312 [57.1%]) associated with a lower risk of hematoma expansion (adjusted odds ratio [aOR] 0.43, 95% confidence interval [CI] 0.23-0.77), lower END rate (aOR 0.43, 95% CI 0.23-0.80), and lower 90-day mRS scores (aOR 0.48, 95% CI 0.32-0.74). The mean 24-hour SBP variability was 21.0 ± 7.6 mm Hg. Higher 24-hour SBP variability was not related to expansion (aOR 0.99, 95% CI 0.95-1.04) but associated with higher END rate (aOR 1.15, 95% CI 1.09-1.21) and 90-day mRS scores (aOR 1.06, 95% CI 1.04-1.10). Among patients with acute ICH, achieving an intensive SBP target within 60 minutes was associated with lower hematoma expansion risk. Rapid SBP reduction and stable sustention within 24 hours were related to improved clinical and functional outcomes. These findings warrant the design of randomized clinical trials examining the impact of effectively achieving rapid, intensive, and sustained BP control on hematoma expansion. This study provides Class III evidence that in adults with spontaneous ICH and initial SBP ≥150 mm Hg, lowering SBP to <140 mm Hg within the first hour and maintaining this for 24 hours is associated with decreased hematoma expansion.

Educational attainment, severity and short-term prognosis of intracerebral haemorrhage

BackgroundEducational attainment is a critical social determinant of health that impacts the risk and severity of incident ischaemic stroke, but less is known of its impact on intracerebral haemorrhage (ICH)....

Do Deep Learning Algorithms Accurately Segment Intracerebral Hemorrhages on Noncontrast Computed Tomography? A Systematic Review and Meta‐Analysis

BACKGROUND Stroke, a major global health issue, is broadly categorized into ischemic and hemorrhagic types. The volume of hemorrhage on noncontrast computed tomography guides the treatment options and hints at prognosis. Conventional approaches to calculate intracerebral hemorrhage (ICH) volume, like the ABC/2 method, typically rely on an assumed standard shape and might be inaccurate. Advances in deep learning have significantly improved noncontrast computed tomography's capabilities in ICH volume estimation. This study conducts a comprehensive systematic review and meta‐analysis to evaluate the precision of deep learning algorithms in delineating ICH on noncontrast computed tomography. METHODS A systematic review and meta‐analysis, adhering to Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guidelines, was conducted on literature from 2000 to October 2023. Studies were selected on the basis of strict inclusion and exclusion criteria. Performance evaluation was done using the Dice Similarity Coefficient, and the Prediction Model Risk of Bias Assessment Tool was used for quality assessment. Statistical analysis was carried out using Stata 17.0. RESULTS The review included 28 studies, mainly retrospective cohorts, with a focus on convolutional neural network architectures, particularly U‐Net variants. A meta‐analysis of 14 studies revealed a combined Dice Similarity Coefficient of 0.85 (95% CI, 0.82–0.88). Performance was consistent across various methodologies but varied on the basis of ICH pathogenesis, with spontaneous ICH having higher accuracy. CONCLUSION Deep learning models are highly effective in segmenting ICH on noncontrast computed tomography, demonstrating potential improvements in clinical neuroimaging. Despite their efficacy, challenges in segmenting smaller hemorrhages remain. The findings suggest that deep learning could reduce health care professional workloads and enhance patient care, although further research is needed to address limitations and extend clinical utility.

Association of Imaging-based Predictors with Outcome in Different Treatment Options for Intracerebral Hemorrhage.

Intracerebral hemorrhage is the deadliest form of stroke. This study aimed to enhance the prediction of 30-day mortality in intracerebral hemorrhage patients by integrating computational parameters. This study retrospectively analyzed 435 patients with spontaneous intracerebral hemorrhage (ICH). Utilizing the acquired computed tomography (CT) images, we extracted the contour and visual representation of ICH. For the extracted contour, the analysis encompassed factors including compactness, fractal dimension, Fourier factor, and circle factor. For the images depicting ICH, we calculated various factors related to density distribution including mean, coefficient of variance, skewness and kurtosis, as well as texture parameters, such as energy, entropy, contrast and homogeneity. To assess the impact of surgical treatment on 30-day mortality, logistic regression analysis was used. Atotal of 126 patients (29.09%) died within 30days. Atotal of 62 (14.25%) patients underwent surgical treatment. Multivariate logistic regression analysis revealed that surgical treatment was independently associated with alower risk of 30-day mortality (odds ratio, OR 0.226, 95% confidence interval, CI 0.049-0.85; p = 0.039). Based on the moderated analysis, we found that the volume of ICH (OR 0.905, 95% CI 0.902-0.908; p < 0.001) and ICH energy (OR 1.389, 95%CI 0.884-0.988; p = 0.010) had positive moderating effect on such associations while the presence of intraventricular blood had negative moderating effect (OR 1.154, 95% CI 1.034-1.628; p = 0.010). Patients exhibiting ahigher volume and energy of ICH might benefit from surgical treatment; however, this efficacy was found to be diminished in cases involving the presence of intraventricular blood.

Does stereotactic thrombolysis with alteplase for intracerebral haemorrhage alter intraventricular haematoma volume? A secondary analysis of the MISTIE-III trial

BackgroundStereotactic thrombolysis reduces intracerebral haemorrhage (ICH) volume in patients with spontaneous ICH. Whether intrahaematomal alteplase administration is associated with a change in intraventricular haemorrhage volume (deltaIVH) and functional outcomes is...

Serum YKL-40 as a Predictive Biomarker of Cerebral Amyloid Angiopathy-Related Intracerebral Hemorrhage Recurrence.

Neuroinflammation is a major cause of secondary brain injury in intracerebral hemorrhage (ICH). To date, the prognostic value of YKL-40 (chitinase-3-like-1 protein), a biomarker of neuroinflammation, in cerebral amyloid angiopathy-related intracerebral hemorrhage (CAA-ICH) remains undiscovered. To evaluate the relationships between serum YKL-40 and CAA-ICH recurrence. Clinical and imaging information of 68 first-onset probable CAA-ICH cases and 95 controls were collected at baseline. Serum YKL-40 was measured by Luminex assay. Cox proportional hazards model was used to analyze the associations between YKL-40 level and CAA-ICH recurrence. Serum YKL-40 level was significantly higher in CAA-ICH cases than healthy controls (median [interquartile range, IQR], 46.1 [19.8, 93.4] versus 24.4 [13.9, 59.0] ng/mL, p = 0.004). Higher level of YKL-40 predicted increased risk of CAA-ICH recurrence adjusted for age, ICH volume and enlarged perivascular space score (ePVS) (above versus below 115.5 ng/ml, adjusted hazard ratios 4.721, 95% confidence intervals 1.829-12.189, p = 0.001) within a median follow-up period of 2.4 years. Adding YKL-40 to a model of only MRI imaging markers including ICH volume and ePVS score improved the discriminatory power (concordance index from 0.707 to 0.772, p = 0.001) and the reclassification power (net reclassification improvement 28.4%; integrated discrimination index 11.0%). Serum YKL-40 level might be a candidate prognostic biomarker for CAA-ICH recurrence.

Relationship between changes in neurological deficit severity and adverse cardiac events in elderly patients with hypertensive intracerebral hemorrhage: a retrospective cohort study

Objective To explore the relationship between changes in neurological deficit severity and the occurrence of adverse cardiac events in elderly patients with hypertensive intracerebral hemorrhage. Methods Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of NIHSS scores for adverse cardiac events. Results There were significant differences between the two groups. Multivariate logistic regression analysis showed that advanced age, high NIHSS score, large intracerebral hemorrhage volume, and high CK level were independent risk factors for adverse cardiac events in elderly patients with hypertensive intracerebral hemorrhage (p < 0.05). The NIHSS scores of both groups gradually increased after admission, peaking at 48 h after admission. In Group A, this elevation persisted until 72 h after admission, while in Group B, there was a significant decrease at 72 h after admission (p < 0.05). From admission to 7 days after admission, the NIHSS scores in Group A were higher than those in Group B (p < 0.05). The area under the curve (AUC) of the NIHSS scores at 48 h after admission was 0.776, with sensitivity and specificity of 80.9% and 84.5%, respectively, which were higher than those of other indicators (p < 0.05). Conclusion The occurrence of adverse cardiac events in elderly patients with hypertensive intracerebral hemorrhage is influenced by multiple factors, and as the NIHSS score increases, the risk of such events gradually increases. Clinicians should pay attention to monitoring NIHSS scores after admission, as they have value in predicting adverse cardiac events in elderly patients with hypertensive intracerebral hemorrhage.

Cognitive Outcome after Acute Spontaneous Intracerebral Hemorrhage: Analysis of the iDEF Randomized Trial.

The impact of intracerebral hemorrhage (ICH) on cognition and the determinants of cognitive recovery early after ICH remain elusive. In this post hoc analysis of the intracerebral hemorrhage deferoxamine (iDEF) trial, we examined the trajectories of cognitive impairment and the determinants of early cognitive recovery after ICH. We examined baseline factors associated with a 90-day cognitive outcome and constructed generalized linear mixed models to examine the trajectory of cognitive function over time among iDEF participants. Cognition was measured by the Montreal Cognitive Assessment (MoCA) scores on days 7, 30, and 90. 291 were available for analysis under the trial's modified intention-to-treat definition (38% female, mean age 60.3 ± 12.0 years, median NIHSS 13, IQR 8-18). The median baseline ICH volume was 12.9 IQR (6.4-26.0) mL; 59 (20%) of the ICH cases were lobar, 120 (41%) had intraventricular extension. There was an overall significant increase in total MOCA score with time (p &lt; 0.0001). Total MOCA score increased by an estimated 3.9 points (95% CI: 3.1, 4.7) between the day 7 and day 30 assessments and by an additional 2.9 points (95% CI: 2.2, 3.6) between the day 30 and day 90 assessments. Despite the overall improvement, 134 of 205 (65%) patients with an available 90-day MoCA score remained cognitively impaired with a score &lt;26 on day 90. Older age, higher NIHSS score, baseline ICH volume, intraventricular hemorrhage, and perihematoma edema had an adjusted negative impact on cognitive recovery. Although ICH survivors exhibit significant improvement of cognitive status over the first 3 months, cognitive performance remains impaired in the majority of patients. Among factors independently associated with worse cognitive recovery, higher baseline ICH, intraventricular blood and perihematomal edema volumes, are potential therapeutic targets that merit further exploration.

Baseline perihematomal edema, C-reactive protein, and 30-day mortality are not associated in intracerebral hemorrhage.

The relationship between baseline perihematomal edema (PHE) and inflammation, and their impact on survival after intracerebral hemorrhage (ICH) are not well understood. Assess the association between baseline PHE, baseline C-reactive protein (CRP), and early death after ICH. Analysis of pooled data from multicenter ICH registries. We included patients presenting within 24 h of symptom onset, using multifactorial linear regression model to assess the association between CRP and edema extension distance (EED), and a multifactorial Cox regression model to assess the association between CRP, PHE volume and 30-day mortality. We included 1,034 patients. Median age was 69 (interquartile range [IQR] 59-79), median baseline ICH volume 11.5 (IQR 4.3-28.9) mL, and median baseline CRP 2.5 (IQR 1.5-7.0) mg/L. In the multifactorial analysis [adjusting for cohort, age, sex, log-ICH volume, ICH location, intraventricular hemorrhage (IVH), statin use, glucose, and systolic blood pressure], baseline log-CRP was not associated with baseline EED: for a 50% increase in CRP the difference in expected mean EED was 0.004 cm (95%CI 0.000-0.008, p = 0.055). In a further multifactorial analysis, after adjusting for key predictors of mortality, neither a 50% increase in PHE volume nor CRP were associated with higher 30-day mortality (HR 0.97; 95%CI 0.90-1.05, p = 0.51 and HR 0.98; 95%CI 0.93-1.03, p = 0.41, respectively). Higher baseline CRP is not associated with higher baseline edema, which is also not associated with mortality. Edema at baseline might be driven by different pathophysiological processes with different effects on outcome.

Hemorrhage Volume Drives Early Brain Injury and Outcome in Poor-Grade Aneurysmal SAH.

Early brain injury is a major determinant of clinical outcome in poor-grade (World Federation of Neurosurgical Societies [WFNS] IV-V) aneurysmal SAH and is radiologically defined by global cerebral edema. Little is known, though, about the effect of global intracranial hemorrhage volume on early brain injury development and clinical outcome. Data from the multicentric prospective Poor-Grade Aneurysmal Subarachnoid Hemorrhage (POGASH) Registry of consecutive patients with poor-grade aneurysmal SAH admitted from January 1, 2015, to August 31, 2022, was retrospectively evaluated. Poor grade was defined according to the worst-pretreatment WFNS grade. Global intracranial hemorrhage volume as well as the volumes of intracerebral hemorrhage, intraventricular hemorrhage, and SAH were calculated by means of analytic software in a semiautomated setting. Outcomes included severe global cerebral edema (defined by Subarachnoid Hemorrhage Early Brain Edema Score grades 3-4), in-hospital mortality (mRS 6), and functional independence (mRS 0-2) at follow-up. Among 400 patients (median global intracranial hemorrhage volume of 91 mL; interquartile range, 59-128), severe global cerebral edema was detected in 218/400 (54.5%) patients. One hundred twenty-three (30.8%) patients died during the acute phase of hospitalization. One hundred fifty-five (38.8%) patients achieved mRS 0-2 at a median of 13 (interquartile range, 3-26) months of follow-up. Multivariable analyses showed global intracranial hemorrhage volume as independently associated with severe global cerebral edema (adjusted OR, 1.009; 95% CI, 1.004-1.014; P < .001), mortality (adjusted OR, 1.006; 95% CI, 1.001-1.01; P = .018) and worse clinical outcome (adjusted OR, 0.992; 95% CI, 0.98-0.996; P < .010). The effect of global intracranial hemorrhage volume on clinical-radiologic outcomes changed significantly according to different age groups (younger than 50, 50-70, older than 70 year of age). Volumes of intracerebral hemorrhage, intraventricular hemorrhage, and SAH affected the 3 predefined outcomes differently. Intracerebral hemorrhage volume independently predicted global cerebral edema and long-term outcome, intraventricular hemorrhage volume predicted mortality and long-term outcome, and SAH volume predicted long-term clinical outcome. Global intracranial hemorrhage volume plays a pivotal role in global cerebral edema development and emerged as an independent predictor of both mortality and long-term clinical outcome. Aging emerged as a reducing predictor in the relationship between global intracranial hemorrhage volume and global cerebral edema.

Sex Differences in Perihematomal Edema Volume and Outcome After Intracerebral Hemorrhage.

Although larger hematoma volume is associated with worse outcome after intracerebral hemorrhage (ICH), the association between perihematomal edema (PHE) volume and outcome remains uncertain, as does the impact of sex on PHE and outcome. Here we aimed to determine whether larger PHE volume is associated with worse outcome and whether PHE volume trajectories differ by sex. We conducted a post hoc analysis of the Factor VIIa for Acute Hemorrhagic Stroke Treatment (FAST) trial, which randomized patients with ICH to receive recombinant activated factor VIIa or placebo. Computerized planimetry calculated PHE and ICH volumes on serial computed tomography (CT) scans (at baseline [within 3h of onset], at 24h, and at 72h). Generalized estimating equations examined interactions between sex, CT time points, and FAST treatment arm on PHE and ICH volumes. Mixed and multivariable logistic models examined associations between sex, PHE, and outcomes. A total of 781 patients with supratentorial ICH (mean age 65years) were included. Compared to women (n = 296), men (n = 485) had similar median ICH (14.9 vs. 13.6mL, p = 0.053) and PHE volumes (11.1 vs. 10.5mL, p = 0.56) at baseline but larger ICH and PHE volumes at 24h (19.0 vs. 14.0mL, p < 0.001; 22.2 vs. 15.7mL, p < 0.001) and 72h (16.0 vs. 11.8mL, p < 0.001; 28.7 vs. 19.9mL, p < 0.001). Men had higher absolute early PHE expansion (p < 0.001) and more hematoma expansion (growth ≥ 33% or 6mL at 24h, 33% vs. 22%, p < 0.001). An interaction between sex and CT time points on PHE volume (p < 0.001), but not on ICH volume, confirmed a steeper PHE trajectory in men. PHE expansion (per 5mL, odds radio 1.19, 95% confidence interval 1.10-1.28), but not sex, was associated with poor outcome. Early PHE expansion and trajectory in men were significantly higher. PHE expansion was associated with poor outcomes independent of sex. Mechanisms leading to sex differences in PHE trajectories merit further investigation.

Accuracy of automated segmentation and volumetry of acute intracerebral hemorrhage following minimally invasive surgery using a patch-based convolutional neural network in a small dataset

PurposeIn cases of acute intracerebral hemorrhage (ICH) volume estimation is of prognostic and therapeutic value following minimally invasive surgery (MIS). The ABC/2 method is widely used, but suffers from inaccuracies and is time consuming. Supervised machine learning using convolutional neural networks (CNN), trained on large datasets, is suitable for segmentation tasks in medical imaging. Our objective was to develop a CNN based machine learning model for the segmentation of ICH and of the drain and volumetry of ICH following MIS of acute supratentorial ICH on a relatively small dataset.MethodsNinety two scans were assigned to training (n = 29 scans), validation (n = 4 scans) and testing (n = 59 scans) datasets. The mean age (SD) was 70 (± 13.56) years. Male patients were 36. A hierarchical, patch-based CNN for segmentation of ICH and drain was trained. Volume of ICH was calculated from the segmentation mask.ResultsThe best performing model achieved a Dice similarity coefficient of 0.86 and 0.91 for the ICH and drain respectively. Automated ICH volumetry yielded high agreement with ground truth (Intraclass correlation coefficient = 0.94 [95% CI: 0.91, 0.97]). Average difference in the ICH volume was 1.33 mL.ConclusionUsing a relatively small dataset, originating from different CT-scanners and with heterogeneous voxel dimensions, we applied a patch-based CNN framework and successfully developed a machine learning model, which accurately segments the intracerebral hemorrhage (ICH) and the drains. This provides automated and accurate volumetry of the bleeding in acute ICH treated with minimally invasive surgery.

Swiss trial of decompressive craniectomy versus best medical treatment of spontaneous supratentorial intracerebral haemorrhage (SWITCH): an international, multicentre, randomised-controlled, two-arm, assessor-blinded trial.

Decompressive craniectomy (DC) is beneficial in people with malignant middle cerebral artery infarction. Whether DC improves outcome in spontaneous intracerebral haemorrhage (ICH) is unknown. To determine whether DC without haematoma evacuation plus best medical treatment (BMT) in people with ICH decreases the risk of death or dependence at 6 months compared to BMT alone. SWITCH is an international, multicentre, randomised (1:1), two-arm, open-label, assessor-blinded trial. Key inclusion criteria are age ⩽75 years, stroke due to basal ganglia or thalamic ICH that may extend into cerebral lobes, ventricles or subarachnoid space, Glasgow coma scale of 8-13, NIHSS score of 10-30 and ICH volume of 30-100 mL. Randomisation must be performed <66 h after onset and DC <6 h after randomisation. Both groups will receive BMT. Participants randomised to the treatment group will receive DC of at least 12 cm in diameter according to institutional standards. A sample of 300 participants randomised 1:1 to DC plus BMT versus BMT alone provides over 85% power at a two-sided alpha-level of 0.05 to detect a relative risk reduction of 33% using a chi-squared test. The primary outcome is the composite of death or dependence, defined as modified Rankin scale score 5-6 at 6 months. Secondary outcomes include death, functional status, quality of life and complications at 180 days and 12 months. SWITCH will inform physicians about the outcomes of DC plus BMT in people with spontaneous deep ICH, compared to BMT alone. ClinicalTrials.gov Identifier: NCT02258919.

Abstract TMP81: Effect of Post Thrombolytic Intracerebral Hemorrhage Volume on 90-day Outcomes in Acute Ischemic Stroke Patients

Background and Purpose: Post thrombolytic intracerebral hemorrhage (ICH) is associated with higher rate of death or disability in acute ischemic stroke patients. We investigated the relationship between post thrombolytic ICH volume and change in volume and death or disability at 90 days in acute ischemic stroke patients. Methods: We analyzed 110 patents recruited in the Safety Evaluation of 3K3A-APC in Ischemic Stroke (RHAPSODY) trial who received intravenous tissue plasminogen activator (tPA) followed by mechanical thrombectomy (if indicated) and 3K3A-APC or placebo. ICH volume was measured at Day 2 and Day 7 using susceptibility weighted sequence (SWI) on magnetic resonance imaging (MRI). We also calculated the post thrombolytic ICH volume change between Day 2 and Day 7. Outcomes were determined by using utility weighted modified Rankin scale (UW-mRs) at 90-days. We adjusted for age, gender, National Institute of Health Stroke Scale (NIHSS) score (&lt;10,10-19 and ≥20), location of hemorrhage (single basal ganglia hemorrhage, single lobar, single cerebellum, and multiple sites hemorrhage) in multivariate regression analysis. Results: A total of 88 (80%) of 110 patients had post thrombolytic ICH (mean volume 28.3 ml ± SD 62ml). The strata of ICH volume were not associated with UW-mRs at 90 days: &lt;20 cc (regression coefficient-0.05, p= 0.58), 20-39 cc (-0.23, p=0.15), or 40 cc (-0.33, p= 0.086) compared with no ICH after adjusting for potential confounders. Change in ICH volume mean volume 27.43ml ±59.01, 52 had increase in volume) between Day 2 and day 7 was not associated with UW-mRS at 90 days (regression coefficient -11.87, p= 0.796). Conclusions: We did not observe any independent effect of post thrombolytic ICH volume on death or disability in acute ischemic stroke patients. Strategies to prevent ICH expansion such as antifibrinolytic medications and reduction in ICH volume such as surgical evacuation may not reduce death or disability in acute ischemic stroke patients with post thrombolytic ICH.

Abstract WMP81: Overweight Patients Had Higher Odds of Favorable Outcome After Both Deep and Lobar Intracerebral Hemorrhage

Introduction: Intracerebral Hemorrhage (ICH) leads to high rates of morbidity and mortality. Malnutrition is common in stroke patients and leads to worse outcomes. Body mass index (BMI) is a widely available marker of nutrition status, however studies on BMI and post-ICH outcomes are limited and have conflicting results. We aim to clarify this relationship by examining the relationship between BMI, nutritional lab markers, ICH severity, and functional outcome at discharge stratified by ICH location. Methods: We leveraged data from an ongoing longitudinal ICH study of adults with spontaneous primary ICH. Patients were divided into underweight, normal weight, overweight, and obese according to World Health Organization BMI criteria. Albumin, B12, total bilirubin, cholesterol, CRP, ferritin, iron, folate, hbA1c, HDL, LDL, hemoglobin, MCV, INR, ALT, triglycerides, and vitamin D were abstracted from health records. Associations between BMI, lab markers, ICH volume, and favorable outcome (mRS 0-2) were analyzed using univariate and multivariable logistic regression stratified by deep versus lobar hemorrhage location, with normal weight as the reference. Results: 1,370 patients (719 with deep hemorrhage, 651 with lobar hemorrhage) were included. There was no association between BMI and ICH volume in patients with deep or lobar hemorrhage. Multivariable analyses adjusting for age, education, diabetes mellitus, coronary artery disease, alcohol use, ICH volume, and intraventricular hemorrhage showed that overweight, but not underweight or obese, subjects had higher odds of favorable outcome on discharge in the deep (OR 3.16, 95% CI 1.36-7.34) and lobar (OR 3.15, 95% CI 1.67-5.94) groups. Albumin (OR 2.27, 95% CI 1.05-4.90) and hemoglobin (OR 1.31, 95% CI 1.09-1.59) were the only labs associated with favorable outcome in the deep hemorrhage group while no markers were associated with favorable outcome in the lobar hemorrhage group. Albumin and hemoglobin were not associated with being overweight. Conclusion: Overweight patients had three times higher odds of favorable outcome after both deep and lobar hemorrhages. This was not driven by ICH severity or explained by lab markers. Future biomarker studies are needed to better understand this relationship.

Abstract TMP74: Association Between Hematoma Volume After Risk of Subsequent Ischemic Stroke: A MISTIE III and ATACH-2 Analysis

Background: Non-traumatic intracerebral hemorrhage (ICH) is independently associated with long-term increased risk of major arterial ischemic events. Whether hematoma volume influences this risk is poorly understood. Methods: We pooled individual patient data from the MISTIE III (Minimally Invasive Surgery Plus Alteplase for Intracerebral Hemorrhage Evacuation phase 3) and the ATACH-2 (Antihypertensive Treatment of Acute Cerebral Hemorrhage) trials. The exposure was hematoma volume. In the primary analysis, hematoma volume was treated as a continuous measure after natural logarithmic transformation to approximate linearity, and in the secondary analysis, it was dichotomized by the median. The outcome was an ischemic stroke, adjudicated centrally within each trial. We evaluated the association between hematoma volume and the risk of an ischemic stroke using Cox regression analyses after adjustment for demographics, vascular comorbidities, and ICH characteristics. Results: Of 1,499 ICH patients, the mean age was 61.7 (SD, 12.8) years and 574 (38.3%) were female. The median hematoma volume was 17.3 mL (IQR, 7.2-35.7). During a median follow up of 107 days (IQR, 91-140), 30 ischemic strokes occurred of which 22 were in patients with median ICH volume &gt; 17.3 mL with a cumulative incidence of 4.6% (95% CI, 3.1-7.1). Among patients with median ICH volume &lt; 17.3 mL, there were 8 ischemic strokes with a cumulative incidence of 3.1% (95% CI, 1.7-6.0). Using adjusted Cox regression models, log-transformed ICH volume (continuous measure) was associated with an increased risk of ischemic stroke (HR, 1.5 per log-unit increase; 95% CI, 1.1-2.8). Similarly, ICH volume &gt; 17.3 mL was associated with an increased risk of ischemic stroke (HR, 2.5; 95% CI, 1.1-7.2), compared to those with an ICH volume &lt; 17.3 mL. Conclusions: In a heterogeneous cohort of ICH patients, initial hematoma volume was associated with a heightened risk of subsequent ischemic stroke.

Abstract TMP84: Multi-Institutional Validation of an Automated Segmentation Tool for Intracerebral Hemorrhage (ICH) and Peri-Hematomal Edema (PHE) on Head CT

Objective: In patients with acute intracerebral hemorrhage (ICH), the volume of hemorrhage, and perihematomal edema (PHE) are representative of primary, and secondary brain injury, respectively. Automated quantification of ICH and PHE volumes from admission non-contrast head CT can facilitate evaluation of large stroke datasets, and expedite treatment triage when volume cutoffs are applied. We aimed to train and externally validate an automated model for segmentation and quantification of ICH and PHE volumes on non-contrast head CT scans. Methods: For training of the model, we used the data from multicentric ATACH-2 clinical trial with head CTs from eleven medical institutes in six countries. The model was then exported and tested on two external datasets from Yale and University of Berlin. We designed an automated pipeline for extracting brain window from 3D non-contrast head CT, skull stripping, resampling to homogenous voxel size, and segmentation. For segmentation we applied a deep learning model based on 3D full resolution nnUNet. We used the Dice Similarity Coefficient (DSC), Hausdorff Distance (HD), and Volume Similarity (VS) between automated segmentation and ground truth manual segmentation volumes to evaluate the models’ performance. Results: A total of 854 patients from the ATACH-2 trial (854 х2, baseline and follow-up CT scans) were used for training of the model in 5-fold cross-validation. In validation folds, the model achieved a mean DSC=0.90±0.10, HD =1.42±16.0mm, and VS=0.95±0.10 for ICH; and DSC=0.74±0.12, HD =3.0±16.5 mm, and VS=0.91±0.12 for PHE. In the externaltesting cohort from Yale (200 patients х2, baseline and follow-up CT scans), the model archieved median DSC=0.93, HD=0.98 mm, and VS=0.97 for ICH; and median DSC=0.69, HD=4.52 mm, and VS=0.84 for PHE. In the externaltesting cohort from Charité Hospital, University of Berlin (915 baseline CT scans), the model archived median DSC=0.87, HD=4 mm, and VS=0.90 for ICH; and median DSC=0.65, HD=5 mm, VS=0.85 for PHE. Conclusion: We trained, validated, and externally tested an end-to-end automated tool for segmentation of both ICH and PHE on non-contrast head CT. Such tool can facilitate treatment triage for trials when volume cutoffs are applied for enrollment.

Abstract TMP76: Outcomes in Large Mostly Intraventricular Hemorrhage: From the Clear III Trial Public Use Dataset

Introduction: Intraventricular hemorrhage (IVH), a common complication of intracerebral hemorrhage (ICH), can occur with little or no associated ICH (mostly IVH, mIVH). mIVH is reported to have better outcomes than IVH associated with substantial ICH. Few data exist describing outcomes from mIVH, especially more severe cases. Hypothesis: Using the CLEAR III public use dataset, outcomes from large mIVH can be described and may be useful to providers and families making decisions about goals of care. Methods: Large mIVH was defined as CLEAR III patients with ICH volume &lt; 5 cc and IVH volume &gt; 30 cc. A backward stepwise logistic regression model identified baseline predictors of 180 day modified Rankin score 0-3 (good outcome), and a post-estimation probability was calculated for each patient. Descriptive nonparametric statistics are provided, including medians with interquartile range (IQR). Patients were divided into prognostic tertiles based on probability of a good outcome with corresponding 180 day modified Rankin scores (mRS) are displayed via a Sankey diagram. Results: Overall, 72/500 (14.4%) of CLEAR III patients had large mIVH. Among these 72, median (IQR) age was 59.5 (51-68) years, 39% were female, median (IQR) GCS 8 (6.5-10), IVH volume 48 cc (39-67) and 180 day mRS 4 (2-6). Age and IVH volume were final model independent predictors of good outcome. Baseline median (IQR) values for Age and IVH volume in each prognostic tertile with 180 day mRS distributions are shown in the Figure. Good outcome was possible despite large mIVH, especially with younger age and smaller IVH volumes. Conclusion: Focusing on the CLEAR III subset of patients with large mIVH, a simple regression model identified prognostic tertiles which combined with a Sankey diagram provide easily interpretable outcome distributions that may facilitate clinical decision-making.

Abstract WMP82: Peri-Hematomal Edema (PHE) Shape Features as Independent Predictors of the 3-month Outcome in Acute Supratentorial Intracerebral Hemorrhage (ICH)

Background: Perihematomal edema (PHE) is a marker of post-ICH secondary brain injury and a potential treatment target. However, different studies have reported equivocal results regarding the optimal metrics of PHE volume in relation to clinical outcomes - such as absolute, and relative baseline PHE volume, or the rate of PHE volume growth over the first 24- and 72-hours post-ICH. In this study, we examined the association of different PHE shape features at baseline and 24-hour with outcome at 3-month follow-up. Methods: We used the data from ATACH-2 trial. We manually segmented ICH and PHE on baseline and follow-up CTs, and extracted 14 shape features. We explored the association of baseline, follow-up, difference (baseline subtracted from follow-up) and temporal rate (difference divided by time gap) of PHE shape changes with 3-month mRS. We applied Spearman correlation to assess univariate associations, and multivariate stepwise regression to evaluate if PHE shape features independently predict outcome adjusting for age, sex, NIHSS, GCS, baseline ICH volume, and treatment. Results: 796 patients were included. Baseline PHE maximum diameters across various planes, main axes, volume, surface and sphericity correlated with 3-month mRS after adjusting for multiple comparisons. The 24-hour difference and temporal change rates of these features also had significant association with outcome - but not the 24-hour absolute values. In multivariate regression, baseline PHE shape sphericity (p=0.029) and voxel volume (p=0.026), alongside admission NIHSS (p&lt; 0.001), ICH volume (p=0.002), and age (p&lt;0.001) were independent predictors of favorable outcomes. Conclusion: Aside from metrics of volume, PHE sphericity at baseline is an independent prognostic factor, with less spheric (more irregular) shape associated with worse outcome. In addition, baseline PHE shape features - compared to changes over the first 24 hours post-ICH - had stronger prognostic associations.

Abstract TP306: Anemia Causes Hematoma Expansion, Cerebral Hypoxia-Driven Microglial Activation, and Early Mortality in Mice With Intracerebral Hemorrhage

Anemic intracerebral hemorrhage (ICH) patients are observed to have poor clinical outcomes with increased risk of hematoma expansion (HE) and impaired cerebral oxygenation. To assess whether anemia causes these observations, we assessed neuroimaging evidence of HE and neuropathological changes of hypoxia and blood brain barrier (BBB) dysfunction in anemic vs non-anemic mice with ICH. Anemia was generated in 3 month old female C57/BL6 mice using iron-deficient chow. Age and sex-matched controls were fed iron-replete control diet. Anemia was verified using modified Drabkin assays. Collagenase was used to induce ICH. ICH volume and HE were quantified using serial T2-weighed MRI at 1, 4, and 24 hours after ICH. Early 24 hour mortality was recorded. After the last MRI, surviving mice were euthanized by intracardiac perfusion and the brain was processed for histological analysis of vascular permeability (IgG), microglia number and activation (Iba1 and CD68), and response to hypoxia (HIF1α). Statistical analyses were performed using two-tailed ANOVA. Compared to controls, anemic mice displayed larger final ICH lesion volumes (anemia: 7.7 mm 3 vs control: 6.1 mm 3 ), greater HE at 24 hours (anemia: 111.4% vs control: 23.6%) and increased early mortality (anemia: 30% vs control: 0%). Histological analyses revealed that, while microglial activation and BBB permeability to serum IgGs in control mice were restricted to the ipsilateral hemisphere and mostly localized perilesionally, anemic mice had increased immune infiltration and increased BBB permeability in both hemispheres. Similarly, non-ICH anemic mice showed increased and widespread immune cell infiltration and increased BBB permeability compared to non-ICH control mice, suggesting that consistently low hemoglobin concentrations may increase cerebrovascular susceptibility to injury.Future studies will be needed to further clarify cellular and molecular mechanisms driving our findings and whether anemia can be a treatable target to improve ICH outcomes.