A practical prediction model for early hematoma expansion in spontaneous deep ganglionic intracerebral hemorrhage

Black hole sign migration in short-term brain CT scans: A possible link with clot evolution and histology

The black hole sign (BHS) is a rare radiological sign seen in the hyperacute phase of bleeding. It manifests within a hemorrhage in early hours, with limited studies exploring clot formation and evolution over a short duration. Despite various hypothesized mechanisms, the precise lifetime and dynamics of black hole sign development remain unclear. We describe the rare finding of a black hole sign within a deep brain hemorrhage, initially observed in the lateral portion of the clot during the first CT scan. Remarkably, in a subsequent CT scan, just 1 hour later, the BHS migrated towards the inner edge. Notably, while the hemorrhage size remained largely unchanged within this short timeframe, hyperacute bleeding led to increased perihematomal edema and sulci flattening. Histopathological features of the "evolving clot" are initially characterized by heightened cellularity. This increased cell density renders the hematoma less resistant to compressive forces, such as heightened endocranial pressure, offering a plausible explanation for the crushing and displacement of the BHS. Our study sheds light on the unique radiological progression of BHS within a deep brain ICH, emphasizing its association with dynamic clot formation and the consequential impact on surrounding structures.

A Deep Learning Model for Automatic Segmentation of Intraparenchymal and Intraventricular Hemorrhage for Catheter Puncture Path Planning

Intracerebral hemorrhage is the subtype of stroke with the highest mortality rate, especially when it also causes secondary intraventricular hemorrhage. The optimal surgical option for intracerebral hemorrhage remains one of the most controversial areas of neurosurgery. We aim to develop a deep learning model for the automatic segmentation of intraparenchymal and intraventricular hemorrhage for clinical catheter puncture path planning. First, we develop a 3D U-Net embedded with a multi-scale boundary aware module and a consistency loss for segmenting two types of hematoma in computed tomography images. The multi-scale boundary aware module can improve the model's ability to understand the two types of hematoma boundaries. The consistency loss can reduce the probability of classifying a pixel into two categories at the same time. Since different hematoma volumes and locations have different treatments. We also measure hematoma volume, estimate centroid deviation, and compare with clinical methods. Finally, we plan the puncture path and conduct clinical validation. We collected a total of 351 cases, and the test set contained 103 cases. For intraparenchymal hematomas, the accuracy can reach 96 % when the proposed method is applied for path planning. For intraventricular hematomas, the proposed model's segmentation efficiency and centroid prediction are superior to other comparable models. Experimental results and clinical practice show that the proposed model has potential for clinical application. In addition, our proposed method has no complicated modules and improves efficiency, with generalization ability.

Predicting Hemorrhage Progression in Deep Intracerebral Hemorrhage: A Multicenter Retrospective Cohort Study

BACKGROUND

Hemorrhage progression in deep intracerebral hemorrhage (ICH) involves not only the growth of parenchymal hematoma but also an increase in intraventricular hemorrhage (IVH). The search for methods that predict both the increased risk of parenchymal hematoma and IVH growth is warranted.

METHODS

We conducted a retrospective cohort study at multiple centers. Participants with deep ICH were enrolled from January 2018 to December 2021. Prediction models based on logistic regression analysis included clinical as well as routine radiographic and radiomics variables, separately or in combination. The performance of each model was evaluated using discrimination measures (e.g., area under the curve [AUC]). Evaluation of clinical utility was performed using decision curve analysis (DCA).

RESULTS

Overall, 647 individuals across 4 stroke centers were included. A total of 429 (66%) patients from 3 centers were assigned to the primary cohort and 218 (34%) from another center were placed in the validation cohort. Multivariate analysis showed that the Glasgow Coma Scale score, baseline ICH volume, IVH, blend sign, and radiomics score were associated with hemorrhage progression in the primary cohort. The clinical-radiomics model (AUC = 0.852 and 0.835) improved the prediction performance of hemorrhage progression compared to the Noncontrast computed tomography signs model (AUC = 0.666 and 0.618) in both the primary and validation cohorts, with similar results in the decision curve analysis curves.

CONCLUSIONS

The clinical-radiomics model outperformed the routine Noncontrast computed tomography signs model in predicting the progression of deep ICH. The clinical benefit of screening patients using this model may assist in risk stratification.

A non-contrast computed tomography-based radiomics nomogram for the prediction of hematoma expansion in patients with deep ganglionic intracerebral hemorrhage

Background and purpose

Hematoma expansion (HE) is a critical event following acute intracerebral hemorrhage (ICH). We aimed to construct a non-contrast computed tomography (NCCT) model combining clinical characteristics, radiological signs, and radiomics features to predict HE in patients with spontaneous ICH and to develop a nomogram to assess the risk of early HE.

Materials and methods

We retrospectively reviewed 388 patients with ICH who underwent initial NCCT within 6 h after onset and follow-up CT within 24 h after initial NCCT, between January 2015 and December 2021. Using the LASSO algorithm or stepwise logistic regression analysis, five models (clinical model, radiological model, clinical-radiological model, radiomics model, and combined model) were developed to predict HE in the training cohort (n = 235) and independently verified in the test cohort (n = 153). The Akaike information criterion (AIC) and the likelihood ratio test (LRT) were used for comparing the goodness of fit of the five models, and the AUC was used to evaluate their ability in discriminating HE. A nomogram was developed based on the model with the best performance.

Results

The combined model (AIC = 202.599, χ2 = 80.6) was the best fitting model with the lowest AIC and the highest LRT chi-square value compared to the clinical model (AIC = 232.263, χ2 = 46.940), radiological model (AIC = 227.932, χ2 = 51.270), clinical-radiological model (AIC = 212.711, χ2 = 55.490) or radiomics model (AIC = 217.647, χ2 = 57.550). In both cohorts, the nomogram derived from the combined model showed satisfactory discrimination and calibration for predicting HE (AUC = 0.900, sensitivity = 83.87%; AUC = 0.850, sensitivity = 80.10%, respectively).

Conclusion

The NCCT-based model combining clinical characteristics, radiological signs, and radiomics features could efficiently discriminate early HE, and the nomogram derived from the combined model, as a non-invasive tool, exhibited satisfactory performance in stratifying HE risks.

Serum Lactate as Serum Biomarker for Cardiopulmonary Parameters within the First 24 Hours after a Spontaneous Intracerebral Hemorrhage

Objective: Cardiopulmonary (CP) complications are well known in patients with an intracerebral hemorrhage (ICH) and could be associated with a higher serum lactate level. The present study aimed to assess the associations between the initial serum lactate level and the CP parameters within the first 24 h of intensive care unit (ICU) treatment in neurosurgical ICH patients. Patients and Methods: A total of 354 patients admitted to the ICU between 01/2009 and 12/2017 with a diagnosis of an ICH were retrospectively analyzed. Blood samples were taken upon admission, and each patient’s demographic, medical, and radiological data upon admission, as well as several CP parameters, were recorded within the first 24 h of ICU treatment. Results: A higher serum lactate level was associated with a lower GCS score (p < 0.0001), as well as a higher Acute Physiology and Chronic Health Evaluation II score (p = 0.002) upon admission. Additionally, patients with initially higher serum lactate levels had a significantly higher need for a norepinephrine application (p = 0.004) and inspiratory oxygen fraction (p = 0.03) within the first 24 h. Conclusion: Neurosurgical ICH patients with higher serum lactate levels upon admission require more CP support within the first 24 h of ICU treatment.

Irregular shape as an independent predictor of prognosis in patients with primary intracerebral hemorrhage

The utility of noncontrast computed tomography markers in the prognosis of spontaneous intracerebral hemorrhage has been studied. This study aimed to investigate the predictive value of the computed tomography (CT) irregularity shape for poor functional outcomes in patients with spontaneous intracerebral hemorrhage. We retrospectively reviewed all 782 patients with intracranial hemorrhage in our stroke emergency center from January 2018 to September 2019. Laboratory examination and CT examination were performed within 24 h of admission. After three months, the patient's functional outcome was assessed using the modified Rankin Scale. Multinomial logistic regression analyses were applied to identify independent predictors of functional outcome in patients with intracerebral hemorrhage. Out of the 627 patients included in this study, those with irregular shapes on CT imaging had a higher proportion of poor outcomes and mortality 90 days after discharge (P < 0.001). Irregular shapes were found to be significant independent predictors of poor outcome and mortality on multiple logistic regression analysis. In addition, the increase in plasma D-dimer was associated with the occurrence of irregular shapes (P = 0.0387). Patients with irregular shapes showed worse functional outcomes after intracerebral hemorrhage. The elevated expression level of plasma D-dimers may be directly related to the formation of irregular shapes.

Noncontrast Computed Tomography Markers of Cerebral Hemorrhage Expansion: Diagnostic Accuracy Meta-Analysis

BACKGROUND AND PURPOSE

Assess the diagnostic accuracy of noncontrast computed tomography (NCCT) markers of hematoma expansion in patients with primary intracerebral hemorrhage.

METHODS

We performed a meta-analysis of observational studies and randomized controlled trials with available data for calculation of sensitivity and specificity of NCCT markers for hematoma expansion (absolute growth >6 or 12.5 mL and/or relative growth >33%). The following NCCT markers were analyzed: irregular shape, island sign (shape-related features); hypodensity, heterogeneous density, blend sign, black hole sign, and swirl sign (density-related features). Pooled accuracy values for each marker were derived from hierarchical logistic regression models.

RESULTS

A total of 10,363 subjects from 23 eligible studies were included. Significant risk of bias of included studies was noted. Hematoma expansion frequency ranged from 7% to 40%, mean intracerebral hemorrhage volume from 9 to 27.8 ml, presence of NCCT markers from 9% (island sign) to 82% (irregular shape). Among shape features, sensitivity ranged from 0.32 (95%CI = 0.20-0.47) for island sign to 0.68 (95%CI = 0.57-0.77) for irregular shape, specificity ranged from 0.47 (95%CI = 0.36-0.59) for irregular shape to 0.92 (95%CI = 0.85-0.96) for island sign; among density features sensitivity ranged from 0.28 (95%CI = 0.21-0.35) for black hole sign to 0.63 (95%CI = 0.44-0.78) for hypodensity, specificity ranged from 0.65 (95%CI = 0.56-0.73) for heterogeneous density to 0.89 (95%CI = 0.85-0.92) for blend sign.

CONCLUSION

Diagnostic accuracy of NCCT markers remains suboptimal for implementation in clinical trials although density features performed better than shape-related features. This analysis may help in better tailoring patients' selection for hematoma expansion targeted trials.

Predictive Relevance of Baseline Lactate and Glucose Levels in Patients with Spontaneous Deep-Seated Intracerebral Hemorrhage

(1) Background: As elements of the standard admission blood panel, lactate and glucose represent potential biomarkers for outcome prediction. In patients with intracranial hemorrhage (ICH), data on the predictive value of these blood values is exceedingly sparse. (2) Methods: Between 2014 and August 2020, all patients with deep-seated ICH referred to the neurovascular center at the authors' institution were included in the subsequent study. Serum levels of lactate and glucose at the time of admission were compared with mortality at 90 days. In addition, a multivariate analysis was performed in order to identify independent admission predictors for 90-day mortality. (3) Results: Among the 102 patients with deep-seated ICH, elevated lactate and glucose levels on admission were significantly associated with increased mortality at 90 days. Multivariate logistic regression analysis identified "ICH score ≥3" (p = 0.004) along with "admission hyperlactatemia" (p = 0.025) and "admission hyperglycemia" (p = 0.029) as independent and significant predictors of 90-day mortality in patients with deep-seated ICH. (4) Conclusions: Initially elevated lactate and glucose levels after spontaneous intracerebral hemorrhage are associated with poor outcome, suggesting a potential application for future prognostic models when considered in conjunction with other parameters.

Defining Minor Intracerebral Hemorrhage

BACKGROUND AND PURPOSE

The minor stroke concept has not been analyzed in intracerebral hemorrhage (ICH) patients. Our purpose was to determine the optimal cut point on the NIH Stroke Scale (NIHSS) for defining a minor ICH (mICH) in patients with primary ICH.

METHODS

An ICH was considered minor if associated with a favorable 3-month outcome (modified Rankin Scale score ≤2). For supratentorial ICH, the discovery cohort consisted of 478 patients prospectively admitted at University Hospital del Mar. Association between NIHSS at admission and 3-month outcome was evaluated with area under the curve-receiver operating characteristics (AUC-ROC) and Youden's index to identify the optimal NIHSS cutoff point to define mICH. External validation was performed in a cohort of 242 supratentorial ICH patients from University Hospital Sant Pau. For infratentorial location, patients from both hospitals (n = 85) were analyzed together.

RESULTS

The best -NIHSS cutoff point defining supratentorial-mICH was 6 (AUC-ROC = 0.815 [0.774-0.857] in the discovery cohort and AUC-ROC = 0.819 [0.756-0.882] in the external validation cohort). For infratentorial ICH, the best cutoff point was 4 (AUC-ROC = 0.771 [0.664-0.877]). Using these cutoff points, 40.5% of all primary ICH cases were mICH. Of these, 70.2% were living independently at 3-month follow-up (72% for supratentorial ICH and 56.1% for infratentorial ICH) and 6.5% had died (5.3% for supratentorial ICH, and 14.6% for infratentorial ICH). For patients identified as non-mICH, good 3-month outcome was observed in 11.3% of cases; mortality was 51%.

CONCLUSIONS

The definition of mICH using the NIHSS cutoff point of 6 for supratentorial ICH and 4 for infratentorial ICH is useful to identify good outcome in ICH patients.

Computed Tomography Imaging Predictors of Intracerebral Hemorrhage Expansion

PURPOSE OF REVIEW

Hematoma expansion (HE) is strongly associated with poor clinical outcome and is a compelling target for improving outcome after intracerebral hemorrhage (ICH). Non-contrast computed tomography (NCCT) is widely used in clinical practice due to its faster acquisition at the presence of acute stroke. Recently, imaging markers on NCCT are increasingly used for predicting HE. We comprehensively review the current evidence on HE prediction using NCCT and provide a summary for assessment of these markers in future research studies.

RECENT FINDINGS

Predictors of HE on NCCT have been described in reports of several studies. The proposed markers, including swirl sign, blend sign, black hole sign, island sign, satellite sign, and subarachnoid extension, were all significantly associated with HE and poor outcome in their small sample studies after ICH. In summary, the optimal management of ICH remains a therapeutic dilemma. Therefore, using NCCT markers to select patients at high risk of HE is urgently needed. These markers may allow rapid identification and provide potential targets for anti-HE treatments in patients with acute ICH.

Computer-Assisted Measurement of Traumatic Brain Hemorrhage Volume Is More Predictive of Functional Outcome and Mortality than Standard ABC/2 Method: An Analysis of Computed Tomography Imaging Data from the Progesterone for Traumatic Brain Injury Experimental Clinical Treatment Phase-III Trial

Hemorrhage volume is an important variable in emergently assessing traumatic brain injury (TBI). The most widely used method for rapid volume estimation is ABC/2, a simple algorithm that approximates lesion geometry as perfectly ellipsoid. The relative prognostic value of volume measurement based on more precise hematoma topology remains unknown. In this study, we compare volume measurements obtained using ABC/2 versus computer-assisted volumetry (CAV) for both intra- and extra-axial traumatic hemorrhages, and then quantify the association of measurements using both methods with patient outcome following moderate to severe TBI. A total of 517 computer tomography (CT) scans acquired during the Progesterone for Traumatic Brain Injury Experimental Clinical Treatment Phase-III (ProTECTIII) multi-center trial were retrospectively reviewed. Lesion volumes were measured using ABC/2 and CAV. Agreement between methods was tested using Bland-Altman analysis. Relationship of volume measurements with 6-month mortality, Extended Glasgow Outcome Scale (GOS-E), and Disability Rating Scale (DRS) were assessed using linear regression and area under the curve (AUC) analysis. In subdural hematoma (SDH) >50cm3, ABC/2 and CAV produce significantly different volume measurements (p < 0.0001), although the difference was not significant for smaller SDH or intra-axial lesions. The disparity between ABC/2 and CAV measurements varied significantly with hematoma size for both intra- and extra-axial lesions (p < 0.0001). Across all lesions, volume was significantly associated with outcome using either method (p < 0.001), but CAV measurement was a significantly better predictor of outcome than ABC/2 estimation for SDH. Among large traumatic SDH, ABC/2 significantly overestimates lesion volume compared with measurement based on precise bleed topology. CAV also offers significantly better prediction of patient functional outcofme and mortality.

Comparison of Black Hole Sign, Satellite Sign, and Iodine Sign to Predict Hematoma Expansion in Patients with Spontaneous Intracerebral Hemorrhage

PURPOSE

To discretely and collectively compare black hole sign (BHS) and satellite sign (SS) with recently introduced gemstone spectral imaging-based iodine sign (IS) for predicting hematoma expansion (HE) in spontaneous intracerebral hemorrhage (SICH).

METHODS

This retrospective study includes 90 patients from 2017 to 2019 who underwent both spectral computed tomography angiography (CTA) as well as noncontrast computed tomography (NCCT) within 6 hours of SICH onset along with subsequent follow-up NCCT scanned within 24 hours. We named the presence of any of BHS or SS as any NCCT sign. Two independent reviewers analyzed all the HE predicting signs. Receiver-operator characteristic curve analysis and logistic regression were performed to compare the predictive performance of HE.

RESULTS

A total of 61 patients had HE, out of which IS was seen in 78.7% (48/61) while BHS and SS were seen in 47.5% (29/61) and 41% (25/61), respectively. The area under the curve for BHS, SS, and IS was 63.4%, 67%, and 82.4%, respectively, while for any NCCT sign was 71.5%. There was no significant difference between IS and any NCCT sign (P = 0.108). Multivariate analysis showed IS (odds ratio 68.24; 95% CI 11.76-396.00; P < 0.001) and any NCCT sign (odds ratio 19.49; 95% CI 3.99-95.25; P < 0.001) were independent predictors of HE whereas BHS (odds ratio 0.34; 95% CI 0.01-38.50; P = 0.534) and SS (odds ratio 4.54; 95% CI 0.54-38.50; P = 0.165) had no significance.

CONCLUSION

The predictive accuracy of any NCCT sign was better than that of sole BHS and SS. Both any NCCT sign and IS were independent predictors of HE. Although IS had higher predictive accuracy, any NCCT sign may still be regarded as a fair predictor of HE when CTA is not available.

Smoking Status Affects the Association Between Hematoma Heterogeneity and Hematoma Expansion

Objective

The purpose of this study was to verify the relationship between hematoma heterogeneity and hematoma expansion and explore any effect modifiers through subgroup analyses.

Methods

Clinical records of 357 patients with spontaneous cerebral hemorrhage at Shenzhen Second People’s Hospital from March 2016 to October 2018 were included in the study. Hematoma heterogeneity was measured on the first noncontrast computed tomography image according to the Barras scale. Hematoma expansion was defined as an absolute hematoma volume increase of 6 mL, or a 33% increase. We performed univariate and multivariate logistic regression analyses, as well as subgroup analyses, to assess the relationship between the presence of heterogeneity on noncontrast computed tomography and hematoma expansion.

Results

Hematoma expansion occurred in 79 (22.13%) of the 357 patients with intracerebral hemorrhage (ICH). Among the patients with ICH, there were 83 smokers, accounting for 23.24%. The average patient age was 56.21 ± 13.75 years, and 74.51% were male. Compared with the absence of heterogeneity, the risk of hematoma expansion increased by 1.06 times (odds ratio, 2.06; 95% confidence interval, 1.10–3.86). Based on the subgroup analysis, smoking status was found to modify the association between heterogeneity and hematoma expansion; the association was stronger in smokers than in nonsmokers (odds ratio, 10.23; 95% confidence interval, 2.15–48.65).

Conclusions

Heterogeneity independently predicts hematoma expansion, especially in smoking patients.

Development and validation of a nomogram for predicting hematoma expansion in intracerebral hemorrhage

BACKGROUND AND OBJECTIVE

To develop and validate a clinical nomogram for individualized predicting hematoma expansion (HE) in patients with Intracerebral Hemorrhage (ICH).

METHODS

A total of 1025 patients with ICH were retrospectively enrolled in the development cohort between 2010 and 2016. We identified and integrated significant factors for HE to build a nomogram. The model was subjected to validation with a separate cohort of 397 patients from the 2017-2019. The predictive accuracy and discriminative ability were measured by concordance index (C-index). The primary outcome was HE, defined as hematoma growth more than 6 mL or 33% increase in the volume.

RESULTS

A total of 1025 patients were included for univariable analysis. HE occurred in 180 patients (17.6%). The time to initial CT (≤6h vs. >6 h; p = 0.001), NIHSS score (0-4 vs. 5-14 vs. ≥15; p = 0.031), CTA spot sign (yes vs. no vs. absent; p = 0.018), hypodensities (p = 0.000), blend sign (p = 0.005), and INR (<1.2 vs. ≥1.2; p = 0.009) were identified and entered into the nomogram. The calibration curves for probability of HE showed optimal agreement between nomogram prediction and actual observation. The C-index was 0.751. The validation cohort consisted of 397 patients and HE occurred in 78 patients (19.6%). The C-index was 0.743.

CONCLUSIONS

We developed and validated a nomogram that can individually predict HE for ICH in Chinese populations. This practical prognostic nomogram may help clinicians make decision of clinical practice and design of clinical studies.

An East Coast Perspective on Artificial Intelligence and Machine Learning: Part 1: Hemorrhagic Stroke Imaging and Triage

Hemorrhagic stroke is a medical emergency. Artificial intelligence techniques and algorithms may be used to automatically detect and quantitate intracranial hemorrhage in a semiautomated fashion. This article reviews the use of deep learning convolutional neural networks for managing hemorrhagic stroke. Such a capability may be used to alert appropriate care teams, make decisions about patient transport from a primary care center to a comprehensive stroke center, and assist in treatment selection. This article reviews artificial intelligence algorithms for intracranial hemorrhage detection, quantification, and prognostication. Multiple algorithms currently being explored are described and illustrated with the help of examples.

Noncontrast CT markers of intracerebral hemorrhage expansion and poor outcome: A meta-analysis

OBJECTIVE

To provide precise estimates of the association between noncontrast CT (NCCT) markers, hematoma expansion (HE), and functional outcome in patients presenting with intracerebral hemorrhage (ICH) through a systematic review and meta-analysis.

METHODS

We searched PubMed for English-written observational studies or randomized controlled trials reporting data on NCCT markers of HE and outcome in spontaneous ICH including at least 50 subjects. The outcomes of interest were HE (hematoma growth >33%, >33% and/or >6 mL, >33% and/or >12.5 mL), poor functional outcome (modified Rankin Scale 3-6 or 4-6) at discharge or at 90 days, and mortality. We pooled data in random-effects models and extracted cumulative odds ratio (OR) for each NCCT marker.

RESULTS

We included 25 eligible studies (n = 10,650). The following markers were associated with increased risk of HE and poor outcome, respectively: black hole sign (OR = 3.70, 95% confidence interval [CI] = 1.42-9.64 and OR = 5.26, 95% CI = 1.75-15.76), swirl sign (OR = 3.33, 95% CI = 2.42-4.60 and OR = 3.70; 95% CI = 2.47-5.55), heterogeneous density (OR = 2.74; 95% CI = 1.71-4.39 and OR = 2.80; 95% CI = 1.78-4.39), blend sign (OR = 3.49; 95% CI = 2.20-5.55 and OR = 2.21; 95% CI 1.16-4.18), hypodensities (OR = 3.47; 95% CI = 2.18-5.50 and OR = 2.94; 95% CI = 2.28-3.78), irregular shape (OR = 2.01, 95% CI = 1.27-3.19 and OR = 3.43; 95% CI = 2.33-5.03), and island sign (OR = 7.87, 95% CI = 2.17-28.47 and OR = 6.05, 95% CI = 4.44-8.24).

CONCLUSION

Our results suggest that multiple NCCT ICH shape and density features, with different effect size, are important markers for HE and clinical outcome and may provide useful information for future randomized controlled trials.

Hematoma Expansion in Intracerebral Hemorrhage: An Update on Prediction and Treatment

Intracerebral hemorrhage (ICH) is the most lethal type of stroke, but there is no specific treatment. After years of effort, neurologists have found that hematoma expansion (HE) is a vital predictor of poor prognosis in ICH patients, with a not uncommon incidence ranging widely from 13 to 38%. Herein, the progress of studies on HE after ICH in recent years is updated, and the topics of definition, prevalence, risk factors, prediction score models, mechanisms, treatment, and prospects of HE are covered in this review. The risk factors and prediction score models, including clinical, imaging, and laboratory characteristics, are elaborated in detail, but limited by sensitivity, specificity, and inconvenience to clinical practice. The management of HE is also discussed from bench work to bed practice. However, the upmost problem at present is that there is no treatment for HE proven to definitely improve clinical outcomes. Further studies are needed to identify more accurate predictors and effective treatment to reduce HE.

Optimal Initial Blood Pressure in Intensive Care Unit Patients with Non-Traumatic Intracranial Hemorrhage

Blood pressure (BP) control is crucial for minimizing the risk of mortality and hematoma growth in patients with acute intracranial hemorrhage (ICH). We aimed to determine the optimal BP range associated with improved patient outcomes. From the Medical Information Mart for Intensive Care-III database, we identified 1493 patients (age, 18–99 years) admitted to the intensive care unit (ICU) with non-traumatic ICH. The 3-day and 14-day mortality of ICU admissions were compared at different BP ranges. Generalized additive models were used to assess the optimal range of initial mean arterial pressure, systolic blood pressure (SBP), and diastolic blood pressure, and these were identified to be 70–100, 120–150, and 60–100 mmHg, respectively. The 3-day or 14-day mortality showed U-shaped correlations with BP ranges. Our results show that an initial SBP between 120 and 150 mmHg is associated with minimal risk of mortality risk. This recommendation can assist physicians to achieve better outcomes for patients with ICH.

The dynamics of hematoma surface regularity and hematoma expansion in acute intracerebral hemorrhage

The clarification of factors that contribute to hematoma expansion in the setting of intracerebral hemorrhage (ICH) and the relevant physical dynamics are implemental for development of management strategies. Herein, we assessed the interplay between hematoma expansion and surface regularity of intracerebral bleeds. To do so, hematoma contours were outlined on admission and follow-up computed tomography (CT) studies using semi-automated thresholding algorithms in 133 ICH patients. Hematoma volume, surface area and surface regularity [SR=6√πvolumesurfacearea³, ranging from 0 (very irregular surface) to 1 (perfectly regular surface suggestive of 3D spherical structure)] were determined by 3D Slicer software (www.slicer.org). Hematoma growth was defined as ≥33% relative growth, or ≥ 6 mL absolute growth. Our results are as follows: The median (IQR) hematoma volume was 14.2 (6.0-34.9) mL on admission CT obtained 2.4 (1.5-4.4) hours after symptom onset; the mean ± SD SR value was calculated as 0.62 ± 0.14. Patients who underwent imaging at earlier time points were more likely to have higher SR (r = 0.18; p = 0.035). The median hematoma volume at follow-up, 35 (21-47) hours after the initial scan, was 19.7 (6.9-44.4) mL. The regularity index decreased significantly at this time point to 0.58 ± 0.13 (p < 0.001) and corresponding increase of surface irregularity was independent of change in hematoma volume. Baseline hematoma volume, INR, and time to initial imaging were significant predictors of hematoma expansion. In conclusion, our findings suggest that hematomas evolve into more irregular 3D shapes during follow-up. These observations are consistent with the 'domino' hypothesis put forward for ICH expansion.

Combination of ultra-early hematoma growth and blend sign for predicting hematoma expansion and functional outcome

OBJECTIVE

Ultra-early hematoma growth (uHG) in acute intracerebral hemorrhage (ICH) has been well established and can improve spot sign in the prediction of hematoma expansion (HE) and poor outcome. This study aimed to investigate whether uHG can improve blend sign as a promising combining marker to stratify HE and poor outcome.

PATIENTS AND METHODS

A consecutive cohort study in patients with primary ICH conducted in the First Affiliated Hospital of Chongqing Medical University. Demographic characteristics, medical history, clinical features and radiological characteristics were recorded. Univariate analysis and multivariate logistic regression analyses were used to identify independently risk factors of HE and poor outcome. β coefficient was calculated for combining markers using the logistic regression. Receiver operating characteristic (ROC) curves were fitted to calculate predictive values for each variable and combining markers to stratify HE and poor outcome.

RESULTS

Among 257 ICH patients in the study, there were 85 (33.1 %) patients with HE. Blend sign and uHG were independently associated with HE and poor outcome (P < 0.05). Age, admission GCS score, presence of IVH at baseline CT were also independently associated with poor outcome (P < 0.05). Combining marker including uHG and blend sign had the best AUC (0.846, 0.80-0.90), sensitivity (87.1 %), NPV (91.0 %), and -LR (0.2) than single variable to stratify HE. Combining marker including uHG, blend sign and risk clinical factors had the best AUC (0.800, 0.75-0.85), sensitivity (75.6 %), NPV (73.2 %), -LR (0.33) than single variable and the ICH score to stratify poor outcome. ICH score had the highest PPV (80.3 %) and + LR (3.68) to stratify poor outcome than other variables.

CONCLUSION

The combination of both uHG and blend sign could be a simple and useful tool for better stratification of HE and poor outcome.

Hematoma Expansion Predictors: Laboratory and Radiological Risk Factors in Patients with Acute Intracerebral Hemorrhage: A Prospective Observational Study

BACKGROUND

Intracerebral hemorrhage (ICH) is considered a devastating neurologic emergency and carried a higher morbidity and mortality rates. Early hematoma expansion (HE) is considered one of the poor prognostic factors after ICH. Consequently, determination of the possible risk factors for HE could be effective in early detection of high-risk patients and hence directing management course aiming to improving ICH outcome.

METHODS

One-hundred and thirty-six spontaneous ICH patients were included and prospectively evaluated for the presence of HE. Demographic, laboratory, and certain radiological factors were studied and compared between those with HE and those without, the in-hospital mortality rates were assessed as well.

RESULTS

HE was observed in 30% of the studied cohort, those who developed HE had more neurologic impairment (Glasgow coma scale, median 9; National Institute of Health Stroke Scale, median 34), and higher in-hospital mortality rate (53.6%) than those without HE. HE was related to the presence of higher red blood cell distribution width (RDW), reduced total cholesterol, low-density lipoprotein-C (LDL-C), and Ca levels. Among the radiological factors, hematoma density (heterogeneous), and shape (irregular) are highly related to the occurrence of HE. The computed tomography angiography (CTA) spot sign among patients with ICH was associated with HE development.

CONCLUSIONS

Abnormal RDW; low cholesterol, LDL, and Ca level; heterogeneous density, irregular shape hemorrhage, and presence of CTA spot sign were associated with the development of HE in the setting of spontaneous ICH.

Predictive Validity of Hypodensities on Noncontrast Computed Tomography for Hematoma Growth in Intracerebral Hemorrhage: a Meta-Analysis

OBJECTIVE

Intracerebral hemorrhage (ICH) is a type of stroke that leads to high mortality. Hematoma growth (HG) happens in about one third of all patients with ICH and is independently related to poor outcome. Previous studies have shown that an indicator on noncontrast computed tomography, called hypodensities, can predict HG in patients with ICH. Thus, this study was done to assess the predictive validity of this marker.

METHODS

Bibliographic databases were searched, without language restriction, for original investigation on hypodensities and HG in ICH. Data were extracted, and study quality was assessed by 2 reviewers independently. Pooled sensitivity, specificity, positive likelihood ratio (LR), negative LR, diagnostic odds ratio, and their 95% confidence intervals (CIs) were obtained. A summary receiver operating characteristic curve was depicted.

RESULTS

Five cohorts with 2157 patients in 4 studies were included in the present meta-analysis. The pooled sensitivity was 0.58 (95% CI 0.46-0.68) and the pooled specificity was 0.71 (95% CI 0.62-0.79). In addition, the pooled positive LR was 2.0 (95% CI 1.6-2.5) and the pooled negative LR was 0.60 (95% CI 0.49-0.73). The pooled diagnostic odds ratio was 3 (95% CI 2-5) and the area under summary receiver operating characteristic curve was 0.69 (95% CI 0.65-0.73).

CONCLUSIONS

This study suggests that hypodensities on noncontrast computed tomography can be helpful in HG prediction, although its pooled predictive values are not very satisfying in the current study. The role of hypodensities in predicting HG should be confirmed by further studies.

Determining the Optimal Shape-Related Indicator on Noncontrast Computed Tomography for Predicting Hematoma Expansion in Spontaneous Intracerebral Hemorrhage

OBJECTIVE

Among several novel predictors on noncontrast computed tomography (CT) for hematoma expansion in spontaneous intracerebral hemorrhage (sICH), shape irregularity grade, satellite sign, and island sign are all related to irregular shape of hematoma. This study is aimed to compare the accuracy of these imaging markers for predicting hematoma expansion in the same cohort of sICH patients.

METHODS

This retrospective study enrolled sICH patients who underwent diagnostic computed tomography (CT) scans within 6 hours after onset and another follow-up CT scan within 24 hours after initial CT scan. Shape irregularity grade, satellite sign, and island sign were assessed according to the definitions in previous studies. The accuracy of these imaging indicators for predicting hematoma expansion was analyzed using receiver operator analysis.

RESULTS

Finally, a total of 196 patients were included. Shape irregularity grade ≥3 was found in 87 (44.39%) patients, satellite sign was identified in 76 (38.78%) patients, and island sign was shown in only 41 (20.92%) patients. Only island sign remained an independent predictor for hematoma expansion in multivariate logistic regression. The sensitivity values of shape irregularity grade ≥3, satellite sign, and island sign were 0.52, 0.63, and 0.48, respectively. By contrast, the specificity values of these 3 predictors were 0.58, 0.69, and 0.85, respectively. Shape irregularity grade ≥3 had the smallest area under the curve (0.597), and island sign had the largest (0.676).

CONCLUSIONS

Island sign seems to be the optimal shape-related predictor for hematoma expansion in sICH patients and could be included in the future predictive model for hematoma expansion.

Absolute risk and predictors of the growth of acute spontaneous intracerebral haemorrhage: a systematic review and meta-analysis of individual patient data

Background

Intracerebral haemorrhage growth is associated with poor clinical outcome and is a therapeutic target for improving outcome. We aimed to determine the absolute risk and predictors of intracerebral haemorrhage growth, develop and validate prediction models, and evaluate the added value of CT angiography.

Methods

In a systematic review of OVID MEDLINE—with additional hand-searching of relevant studies' bibliographies— from Jan 1, 1970, to Dec 31, 2015, we identified observational cohorts and randomised trials with repeat scanning protocols that included at least ten patients with acute intracerebral haemorrhage. We sought individual patient-level data from corresponding authors for patients aged 18 years or older with data available from brain imaging initially done 0·5–24 h and repeated fewer than 6 days after symptom onset, who had baseline intracerebral haemorrhage volume of less than 150 mL, and did not undergo acute treatment that might reduce intracerebral haemorrhage volume. We estimated the absolute risk and predictors of the primary outcome of intracerebral haemorrhage growth (defined as >6 mL increase in intracerebral haemorrhage volume on repeat imaging) using multivariable logistic regression models in development and validation cohorts in four subgroups of patients, using a hierarchical approach: patients not taking anticoagulant therapy at intracerebral haemorrhage onset (who constituted the largest subgroup), patients taking anticoagulant therapy at intracerebral haemorrhage onset, patients from cohorts that included at least some patients taking anticoagulant therapy at intracerebral haemorrhage onset, and patients for whom both information about anticoagulant therapy at intracerebral haemorrhage onset and spot sign on acute CT angiography were known.

Findings

Of 4191 studies identified, 77 were eligible for inclusion. Overall, 36 (47%) cohorts provided data on 5435 eligible patients. 5076 of these patients were not taking anticoagulant therapy at symptom onset (median age 67 years, IQR 56–76), of whom 1009 (20%) had intracerebral haemorrhage growth. Multivariable models of patients with data on antiplatelet therapy use, data on anticoagulant therapy use, and assessment of CT angiography spot sign at symptom onset showed that time from symptom onset to baseline imaging (odds ratio 0·50, 95% CI 0·36–0·70; p<0·0001), intracerebral haemorrhage volume on baseline imaging (7·18, 4·46–11·60; p<0·0001), antiplatelet use (1·68, 1·06–2·66; p=0·026), and anticoagulant use (3·48, 1·96–6·16; p<0·0001) were independent predictors of intracerebral haemorrhage growth (C-index 0·78, 95% CI 0·75–0·82). Addition of CT angiography spot sign (odds ratio 4·46, 95% CI 2·95–6·75; p<0·0001) to the model increased the C-index by 0·05 (95% CI 0·03–0·07).

Interpretation

In this large patient-level meta-analysis, models using four or five predictors had acceptable to good discrimination. These models could inform the location and frequency of observations on patients in clinical practice, explain treatment effects in prior randomised trials, and guide the design of future trials.

Funding

UK Medical Research Council and British Heart Foundation.

Imaging-based outcome prediction in patients with intracerebral hemorrhage

Besides the established spot sign in computed tomography angiography (CTA), recently investigated imaging predictors of hematoma growth in noncontrast computed tomography (NCCT) suggest great potential for outcome prediction in patients with intracerebral hemorrhage (ICH). Secondary hematoma growth is an appealing target for therapeutic interventions because in contrast to other determined factors, it is potentially modifiable. Even more initial therapy studies failed to demonstrate clear therapeutic benefits, there is a need for an effective patient selection using imaging markers to identify patients at risk for poor outcome and thereby tailor individual treatments for every patient. Hence, this review gives an overview about the current literature on NCCT imaging markers for neurological outcome prediction and aims to clarify the association with the established spot sign. Moreover, it demonstrates the clinical impact of these parameters and gives a roadmap for future imaging research in patients with intracerebral hemorrhage.

Predicting Intracerebral Hemorrhage Expansion With Noncontrast Computed Tomography: The BAT Score

BACKGROUND AND PURPOSE

Although the computed tomographic angiography spot sign performs well as a biomarker for hematoma expansion (HE), computed tomographic angiography is not routinely performed in the emergency setting. We developed and validated a score to predict HE-based on noncontrast computed tomography (NCCT) findings in spontaneous acute intracerebral hemorrhage.

METHODS

After developing the score in a single-center cohort of patients with intracerebral hemorrhage (n=344), we validated it in a large clinical trial population (n=954) and in a multicenter intracerebral hemorrhage cohort (n=241). The following NCCT markers of HE were analyzed: hypodensities, blend sign, hematoma shape and density, and fluid level. HE was defined as hematoma growth >6 mL or >33%. The score was created using the estimates from multivariable logistic regression after final predictors were selected from bootstrap samples.

RESULTS

Presence of blend sign (odds ratio, 3.09; 95% confidence interval [CI],1.49-6.40; P=0.002), any intrahematoma hypodensity (odds ratio, 4.54; 95% CI, 2.44-8.43; P<0.0001), and time from onset to NCCT <2.5 hours (odds ratio, 3.73; 95% CI, 1.86-7.51; P=0.0002) were predictors of HE. A 5-point score was created (BAT score: 1 point for blend sign, 2 points for any hypodensity, and 2 points for timing of NCCT <2.5 hours). The c statistic was 0.77 (95% CI, 0.70-0.83) in the development population, 0.65 (95% CI 0.61-0.68) and 0.70 (95% CI, 0.64-0.77) in the 2 validation cohorts. A dichotomized score (BAT score ≥3) predicted HE with 0.50 sensitivity and 0.89 specificity.

CONCLUSIONS

An easy to use 5-point prediction score can identify subjects at high risk of HE with good specificity and accuracy. This tool requires just a baseline NCCT scan and may help select patients with intracerebral hemorrhage for antiexpansion clinical trials.

Clinical and Radiographic Predictors of Intracerebral Hemorrhage Outcome

BACKGROUND

Intracerebral hemorrhage (ICH) represents 10-15% of all stroke cases in the US annually. Fewer than 40% of these patients ever reach long-term functional independence, and mortality rate is roughly 40% at 1 month. Due to the high morbidity and mortality rates after ICH, early detection of high-risk patients would be beneficial in directing the management course and goals of care. This review aims to discuss relevant clinical and radiographic characteristics that can serve as predictors of poor prognosis and examine their efficacy in predicting patient outcomes after ICH.

SUMMARY

A literature review was conducted on various clinical and radiographic factors. They were examined for their predictive value in relation to ICH outcome. Studies that focused on each of these factors were included, and their results analyzed for trends with regard to incidence, patient outcome, and mortality rate.

KEY MESSAGE

In this review, we examined clinical and radiographic characteristics that have been found to be significantly associated to a varying degree with poor outcome. Clinical and radiographic predictors of poor patient outcome are invaluable when it comes to identifying high-risk patients and triaging accordingly as well as guiding decision-making.

Delayed formation of hematomas with ethanol preconditioning in experimental intracerebral hemorrhage rats

Objective:

Spontaneous intracerebral hemorrhage (ICH) accounts for 10%–15% of all strokes and causes high mortality and morbidity. In the previous study, we demonstrated that ethanol could aggravate the severity of brain injury after ICH by increasing neuroinflammation and oxidative stress. In this study, we further investigate the acute effects of ethanol on brain injury within 24 h after ICH.

Materials and Methods:

Totally, 66 male Sprague-Dawley rats were assigned randomly into two groups: saline pretreatment before ICH (saline + ICH), and ethanol pretreatment before ICH (ethanol + ICH). Normal saline (10 mL/kg) or ethanol (3 g/kg, in 10 mL/kg normal saline) was administered intraperitoneally 1 h before induction of experimental ICH. Bacterial collagenase VII-S (0.23 U in 1.0 μL sterile saline) was injected into the right striatum to induce ICH in the rats. We evaluated the hematoma expansion, hemodynamic parameters (heart rate and blood pressure), activated partial thromboplastin time (aPTT), prothrombin time (PT), and striatal matrix metallopeptidase 9 (MMP-9) expressions at 3, 6, 9, and 24 h after ICH.

Results:

The ethanol + ICH group exhibited decreased hematoma at 3 h after ICH; nevertheless, there was a larger hematoma compared with the saline + ICH group at 9 and 24 h after ICH. The ethanol + ICH group had lower blood pressure at 3, 6, and 9 h post-ICH, but both groups maintained similar heart rates after ICH. There was no significant difference in the aPTT and PT between the two groups. Incremental ethanol concentrations had no influence on collagenase VII-S activity at 120 min in vitro. MMP-9 expression was upregulated in the right striata of the ethanol + ICH group, especially at 3 and 9 h after ICH.

Conclusion:

Ethanol delayed hematoma formation in the first 3 h due to a hypotensive effect; however, the accelerated growth of hematomas after 9 h may be a sequela of ethanol-induced MMP-9 activation.

Clinical features of patients who died within 24 h after admission to a stroke care center

Objective In Japan, stroke care is provided through medical cooperation and standardized treatment. However, various factors affect mortality in the hyperacute phase. The present study investigated factors associated with death within 24 h after admission for acute stroke. Methods Among 2335 patients admitted within 24 h after stroke onset from 1 January 2007 to 31 December 2012, a total of 139 deaths occurred. Forty-eight deaths occurred within 24 h after admission. We retrospectively examined the clinical features of these 48 patients. Results The overall mortality rate was 6.0%. When the initial 72-h period was divided into ≤24 h (Period I), >24 to 48 h (Period II), and >48 to 72 h (Period III), deaths were significantly more frequent in Period I than in the other two periods. The frequency of intracerebral haemorrhage (ICH) was also significantly higher in Period I than in the other two periods. Factors significantly associated with death from ICH were systolic blood pressure, hematoma volume, and surgery. Conclusion The mortality rate was low among patients with stroke transported to the authors' medical center within 24 h of onset. Blood pressure management and the timing of determining indications for surgery are important factors in acute haemorrhagic stroke care.

Multiple simultaneous intracerebral hemorrhages: Clinical presentations and risk factors

OBJECTIVE

Multiple simultaneous intracerebral hemorrhages (MSICH) are a rare clinical entity. The mechanism and risk factors have yet to be elucidated. The purpose of this study was to clarify clinical presentations and risk factors of MSICH compared with solitary intracerebral hemorrhages (ICH).

PATIENTS AND METHODS

Medical records of 313 consecutive patients with ICH admitted to our institution between April 2011 and September 2014 were retrospectively reviewed. Seventeen cases of MSICH were identified, and 10 clinical and neuroimaging variables were compared between MSICH cases and solitary ICH cases using the unpaired t-test, chi-square test, and multiple logistic regression analysis.

RESULTS

There were significant differences in size between larger hematomas (mean 59.2±69.1mL) and smaller hematomas (mean 1.7±2.1mL) in patients with MSICH (p=0.001). Larger hematoma volume was the only independent risk factor for MSICH in multiple logistic regression analysis (OR=1.012, 95%CI 1.004-1.021, p=0.004).

CONCLUSIONS

Patients with MSICH have clinical characteristics and outcomes similar to patients with solitary ICH. They present with two significantly different hematoma sizes, both of which are significantly larger than patients with solitary ICH, suggesting that a larger hematoma can trigger smaller hematomas. A future prospective study with a larger number of patients will explore the precise mechanism of this rare entity.

Significance of satellite sign and spot sign in predicting hematoma expansion in spontaneous intracerebral hemorrhage

OBJECTIVES

Hematoma expansion is related to poor outcome in spontaneous intracerebral hemorrhage (ICH). Recently, a non-enhanced computed tomography (CT) based finding, termed the 'satellite sign', was reported to be a novel predictor for poor outcome in spontaneous ICH. However, it is still unclear whether the presence of the satellite sign is related to hematoma expansion.

MATERIAL AND METHODS

Initial computed tomography angiography (CTA) was conducted within 6h after ictus. Satellite sign on non-enhanced CT and spot sign on CTA were detected by two independent reviewers. The sensitivity and specificity of both satellite sign and spot sign were calculated. Receiver-operator analysis was conducted to evaluate their predictive accuracy for hematoma expansion.

RESULTS

This study included 153 patients. Satellite sign was detected in 58 (37.91%) patients and spot sign was detected in 38 (24.84%) patients. Among 37 patients with hematoma expansion, 22 (59.46%) had satellite sign and 23 (62.16%) had spot sign. The sensitivity and specificity of satellite sign for prediction of hematoma expansion were 59.46% and 68.97%, respectively. The sensitivity and specificity of spot sign were 62.16% and 87.07%, respectively. The area under the curve (AUC) of satellite sign was 0.642 and the AUC of spot sign was 0.746. (P=0.157) CONCLUSION: Our results suggest that the satellite sign is an independent predictor for hematoma expansion in spontaneous ICH. Although spot sign has the higher predictive accuracy, satellite sign is still an acceptable predictor for hematoma expansion when CTA is unavailable.

Accuracy of Shape Irregularity and Density Heterogeneity on Noncontrast Computed Tomography for Predicting Hematoma Expansion in Spontaneous Intracerebral Hemorrhage: A Systematic Review and Meta-Analysis

OBJECTIVE

This systematic review and meta-analysis was aimed to evaluate the predictive values of shape irregularity and density heterogeneity of hematoma on noncontrast computed tomography (NCCT) for hematoma expansion (HE).

METHODS

A literature search was performed in PubMed, Embase, Scopus, Web of Science, and Cochrane Library. Studies about predictive values of shape regularity or density heterogeneity of hematoma on NCCT for HE in spontaneous intracerebral hemorrhage were included. Meta-analysis was performed to pool the data. Publication bias assessment, subgroup analysis, and univariate meta-regression were conducted.

RESULTS

A total of 7 studies with 2294 patients were included. The pooled sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio of shape irregularity were 67%, 47%, 1.30, and 0.71, respectively. In contrast, the pooled sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio of density irregularity were 52%, 69%, 1.70, and 0.69, respectively.

CONCLUSIONS

Considering the relatively low sensitivity and specificity, the predictive values of shape irregularity and density heterogeneity of hematoma for HE are limited. Further studies are still needed to find optimal NCCT predictors for HE in spontaneous intracerebral hemorrhage patients.

Management of intracerebral hemorrhage

Intracerebral hemorrhage (ICH) is a potentially devastating neurologic injury representing 10-15% of stroke cases in the USA each year. Numerous risk factors, including age, hypertension, male gender, coagulopathy, genetic susceptibility, and ethnic descent, have been identified. Timely identification, workup, and management of this condition remain a challenge for clinicians as numerous factors can present obstacles to achieving good functional outcomes. Several large clinical trials have been conducted over the prior decade regarding medical and surgical interventions. However, no specific treatment has shown a major impact on clinical outcome. Current management guidelines do exist based on medical evidence and consensus and these provide a framework for care. While management of hypertension and coagulopathy are generally considered basic tenets of ICH management, a variety of measures for surgical hematoma evacuation, intracranial pressure control, and intraventricular hemorrhage can be further pursued in the emergent setting for selected patients. The complexity of management in parenchymal cerebral hemorrhage remains challenging and offers many areas for further investigation. A systematic approach to the background, pathology, and early management of spontaneous parenchymal hemorrhage is provided.

The HEP Score: A Nomogram-Derived Hematoma Expansion Prediction Scale

BACKGROUND

Identification of intracerebral hemorrhage (ICH) patients at risk of substantial hematoma expansion (SHE) could facilitate the selection of candidates likely to benefit from therapies aiming to minimize ICH growth. We aimed to develop a grading tool that can be quickly used during the hyperacute phase to predict the risk of SHE.

METHODS

We reviewed data from 237 spontaneous ICH patients who had baseline head CT scan within 12 h of symptom onset and follow-up CT during the following 72 h. We performed logistic regression analyses to determine the predictors of SHE (defined as an absolute increase in ICH volume >6 ml or an increase >33% on follow-up CT). We identified 6 predictors; each was assigned a point in the graphic interface of a nomogram which was used to construct a scoring system-The Hematoma Expansion Prediction (HEP) Score, varying from 0 to 18 points. We evaluated the ability of the model to predict the probability of SHE using c-statistics.

RESULTS

SHE occurred in 74 patients (31.2%). The final model to predict SHE included 6 variables: time from onset to baseline CT (<3 vs. 3-12 h), history of dementia, current smoking, antiplatelet use, Glasgow Comma Scale score, and the presence of subarachnoid hemorrhage on baseline scan. The model had satisfactory discrimination ability with a bootstrap corrected c-index of 0.76 (95% CI 0.69-0.83) and good calibration. Patients with a total HEP score >3 were at greatest risk for SHE.

CONCLUSIONS

We developed and internally validated a novel nomogram and an easy to use score which accurately predict the probability of SHE based on six easily obtainable parameters. This could be useful for treatment decision and stratification. External prospective validation of the HEP score is warranted before its application to other populations.

Day-Night Variability of Hematoma Expansion in Patients with Spontaneous Intracerebral Hemorrhage

The levels of several coagulation factors, able to influence hemostatic balance, display circadian variations. We hypothesized that the onset and extent of hematoma expansion (HE) following intracerebral hemorrhage (ICH) also display diurnal patterns. We reviewed clinical, laboratory, and radiological data from 111 consecutive patients with spontaneous ICH who had baseline head computed tomography (CT) scans within 3 h of ICH onset and follow-up CT during the following 72 h. We defined any HE (AHE) as any increase in hematoma volume from baseline to follow-up CT and significant HE (SHE) as an absolute increase in hematoma volume >6 mL or relative increase >33%. We categorized the patients into 2 groups based on the timing of the initial CT scans—day group (from 0800 to 2000 h) and night group (from 2000 to 0800 h)—and performed logistic regression analyses. We also analyzed the differences in the rates of HE between the groups during six 4-h periods spanning 24 h, using χ2 tests. We found that the rates of AHE and SHE were higher in the day versus night group (75% vs. 48%; p = 0.009 for AHE and 47.6% vs. 25.9%; p = 0.047 for SHE). On multivariable logistic regression, day group assignment was independently associated with AHE (adjusted odds ratio = 3.53; p = 0.008) but not with SHE. Both AHE and SHE peaked in the early afternoon (1200-1600 h) and reached a nadir during the 2000 to 2400 h time period, and they were significantly different between the time periods (0000-0400, 0400-0800, 0800-1200, 1200-1600, 1600-2000, and 2000-2400 h); p = 0.002 and 0.029, respectively. These exploratory findings support the presence of a daily pattern in the occurrence of HE, with a higher risk during the day hours. Our results could have implications for future therapeutic efforts targeting HE in ICH and for the triage of ICH patients. They require further validation.

Prediction of Intracerebral Haemorrhage Expansion with Clinical, Laboratory, Pharmacologic, and Noncontrast Radiographic Variables

Background

Hematoma expansion confers excess mortality in intracerebral haemorrhage, and is potentially preventable if at-risk patients can be identified. Contrast extravasation on initial computed tomographic angiography strongly predicts hematoma expansion but is not very sensitive, and most centers have not yet integrated computed tomographic angiography into acute intracerebral haemorrhage management. We therefore asked whether other presentation variables can predict hematoma expansion.

Methods

We searched the electronic medical records of a large integrated healthcare delivery system to identify patients with a hospitalization discharge diagnosis of intracerebral haemorrhage between the years 2008 and 2010. Hematoma expansion was defined as radiographic increase by 1/3 or by 12·5 ml within 48 h of presentation. Pre-specified patient demographic and clinical presentation variables were extracted. Stepwise multivariable logistic regression was performed to model hematoma expansion. Because some patients may have died from hematoma expansion without a second head computed tomography, we constructed a separate model including patients that died without a second head computed tomography in 48 h, hematoma expansion or death.

Results

Ninety-one of 257 patients (35%) had hematoma expansion. Antithrombotic use (odds ratio = 1·9, P = 0·04) and initial mNIHSS (modified National Institutes of Health Stroke Scale; odds ratio = 1·06, P = 0·001) were significant predictors in the hematoma expansion model (area under the Receiver–Operator Characteristics curve, AUROC = 0·6712, pseudo- r2 = 0·0641). 163 of 343 patients (48%) had hematoma expansion or death. Age (odds ratio = 1·02, P = 0·02), initial mNIHSS (odds ratio = 1·07, P < 0·001), and initial hematoma volume (odds ratio = 1·01, P = 0·03) were significant predictors of hematoma expansion or death (AUROC = 0·7579, pseudo- r2 = 0·1722).

Conclusion

Clinical and noncontrast radiographic variables only weakly predict hematoma expansion. Examination of other indicators, such as computed tomographic angiography contrast extravasation (the ‘spot sign’), may prove more valuable in acute intracerebral haemorrhage care.

Progressing haemorrhagic stroke: categories, causes, mechanisms and managements

Haemorrhagic stroke is a severe stroke subtype with high rates of morbidity and mortality. Although this condition has been recognised for a long time, the progressing haemorrhagic stroke has not received adequate attention, and it accounts for an even worse clinical outcome than the nonprogressing types of haemorrhagic stroke. In this review article, we categorised the progressing haemorrhagic stroke into acute progressing haemorrhagic stroke, subacute haemorrhagic stroke, and chronic progressing haemorrhagic stroke. Haematoma expansion, intraventricular haemorrhage, perihaematomal oedema, and inflammation, can all cause an acute progression of haemorrhagic stroke. Specific 'second peak' of perihaematomal oedema after intracerebral haemorrhage and 'tension haematoma' are the primary causes of subacute progression. For the chronic progressing haemorrhagic stroke, the occult vascular malformations, trauma, or radiologic brain surgeries can all cause a slowly expanding encapsulated haematoma. The mechanisms to each type of progressing haemorrhagic stroke is different, and the management of these three subtypes differs according to their causes and mechanisms. Conservative treatments are primarily considered in the acute progressing haemorrhagic stroke, whereas surgery is considered in the remaining two types.

Association Factors for CT Angiography Spot Sign and Hematoma Growth in Korean Patients with Acute Spontaneous Intracerebral Hemorrhage : A Single-Center Cohort Study

Objective

This study was conducted to clarify the association factors and clinical significance of the CT angiography (CTA) spot sign and hematoma growth in Korean patients with acute intracerebral hemorrhage (ICH).

Methods

We retrospectively collected the data of 287 consecutive patients presenting with acute ICH who arrived within 12 hours of ictus. Baseline clinical and radiological characteristics as well as the mortality rate within one month were assessed. A binary logistic regression was conducted to obtain association factors for the CTA spot sign and hematoma growth.

Results

We identified a CTA spot sign in 40 patients (13.9%) and hematoma growth in 78 patients (27.2%). An elapsed time to CT scan of less than 3 hours (OR, 5.14; 95% CI, 1.76-15.02; p=0.003) was associated with the spot sign. A CTA spot sign (OR, 5.70; 95% CI, 2.70-12.01; p<0.001), elevated alanine transaminase (GPT) level >40 IU (OR, 2.01; 95% CI, 1.01-4.01; p=0.047), and an international normalized ratio ≥1.8 or warfarin medication (OR, 5.64; 95% CI, 1.29-24.57; p=0.021) were independent predictors for hematoma growth. Antiplatelet agent medication (OR, 4.92; 95% CI, 1.31-18.50; p=0.019) was significantly associated with hematoma growth within 6 hours of ictus.

Conclusion

As previous other populations, CTA spot sign was a strong predictor for hematoma growth especially in hyper-acute stage of ICH in Korea. Antithrombotics medication might also be associated with hyper-acute hematoma growth. In our population, elevated GPT was newly identified as a predictor for hematoma growth and its effect for hematoma growth is necessary to be confirmed through a further research.

Prediction and observation of post-admission hematoma expansion in patients with intracerebral hemorrhage

Post-admission hematoma expansion in patients with intracerebral hemorrhage (ICH) comprises a simultaneous major clinical problem and a possible target for medical intervention. In any case, the ability to predict and observe hematoma expansion is of great clinical importance. We review radiological concepts in predicting and observing post-admission hematoma expansion. Hematoma expansion can be observed within the first 24 h after symptom onset, but predominantly occurs in the early hours. Thus capturing markers of on-going bleeding on imaging techniques could predict hematoma expansion. The spot sign observed on computed tomography angiography is believed to represent on-going bleeding and is to date the most well investigated and reliable radiological predictor of hematoma expansion as well as functional outcome and mortality. On non-contrast CT, the presence of foci of hypoattenuation within the hematoma along with the hematoma-size is reported to be predictive of hematoma expansion and outcome. Because patients tend to arrive earlier to the hospital, a larger fraction of acute ICH-patients must be expected to undergo hematoma expansion. This renders observation and radiological follow-up investigations increasingly relevant. Transcranial duplex sonography has in recent years proven to be able to estimate hematoma volume with good precision and could be a valuable tool in bedside serial observation of acute ICH-patients. Future studies will elucidate, if better prediction and observation of post-admission hematoma expansion can help select patients, who will benefit from hemostatic treatment.

Relationship between different surgical methods, hemorrhage position, hemorrhage volume, surgical timing, and treatment outcome of hypertensive intracerebral hemorrhage

BACKGROUND

The present study aimed to explore the relationship between surgical methods, hemorrhage position, hemorrhage volume, surgical timing and treatment outcome of hypertensive intracerebral hemorrhage (HICH).

METHODS

A total of 1 310 patients, who had been admitted to six hospitals from January 2004 to January 2008, were divided into six groups according to different surgical methods: craniotomy through bone flap (group A), craniotomy through a small bone window (group B), stereotactic drilling drainage (group C1 and group C2), neuron-endoscopy operation (group D) and external ventricular drainage (group E) in consideration of hemorrhage position, hemorrhage volume and clinical practice. A retrospective analysis was made of surgical timing and curative effect of the surgical methods.

RESULTS

The effectiveness rate of the methods was 74.12% for 1 310 patients after one-month follow-up. In this series, the disability rate was 44.82% 3-6 months after the operation. Among the 1 310 patients, 241 (18.40%) patients died after the operation. If hematoma volume was >80 mL and the operation was performed within 3 hours, the mortality rate of group A was significantly lower than that of groups B, C, D, and E (P<0.05). If hematoma volume was 50-80 mL and the operation was performed within 6-12 hours, the mortality rate of groups B and D was lower than that of groups A, C and E (P<0.05). If hematoma volume was 20-50 mL and the operation was performed within 6-24 hours, the mortality rate of group C was lower than that of groups A, B and D (P<0.05).

CONCLUSIONS

Craniotomy through a bone flap is suitable for patients with a large hematoma and hernia of the brain. Stereotactic drilling drainage is suggested for patients with hematoma volume less than 80 mL. The curative effect of HICH individualized treatment would be improved via the suitable selection of operation time and surgical method according to the position and volume of hemorrhage.