Intracerebral Hemorrhage Patients Research Articles

An interpretable artificial intelligence model based on CT for prognosis of intracerebral hemorrhage: a multicenter study

ObjectivesTo develop and validate a novel interpretable artificial intelligence (AI) model that integrates radiomic features, deep learning features, and imaging features at multiple semantic levels to predict the prognosis of intracerebral hemorrhage (ICH) patients at 6 months post-onset.Materials and methodsRetrospectively enrolled 222 patients with ICH for Non-contrast Computed Tomography (NCCT) images and clinical data, who were divided into a training cohort (n = 186, medical center 1) and an external testing cohort (n = 36, medical center 2). Following image preprocessing, the entire hematoma region was segmented by two radiologists as the volume of interest (VOI). Pyradiomics algorithm library was utilized to extract 1762 radiomics features, while a deep convolutional neural network (EfficientnetV2-L) was employed to extract 1000 deep learning features. Additionally, radiologists evaluated imaging features. Based on the three different modalities of features mentioned above, the Random Forest (RF) model was trained, resulting in three models (Radiomics Model, Radiomics-Clinical Model, and DL-Radiomics-Clinical Model). The performance and clinical utility of the models were assessed using the Area Under the Receiver Operating Characteristic Curve (AUC), calibration curve, and Decision Curve Analysis (DCA), with AUC compared using the DeLong test. Furthermore, this study employs three methods, Shapley Additive Explanations (SHAP), Grad-CAM, and Guided Grad-CAM, to conduct a multidimensional interpretability analysis of model decisions.ResultsThe Radiomics-Clinical Model and DL-Radiomics-Clinical Model exhibited relatively good predictive performance, with an AUC of 0.86 [95% Confidence Intervals (CI): 0.71, 0.95; P < 0.01] and 0.89 (95% CI: 0.74, 0.97; P < 0.01), respectively, in the external testing cohort.ConclusionThe multimodal explainable AI model proposed in this study can accurately predict the prognosis of ICH. Interpretability methods such as SHAP, Grad-CAM, and Guided Grad-Cam partially address the interpretability limitations of AI models. Integrating multimodal imaging features can effectively improve the performance of the model.Clinical relevance statementPredicting the prognosis of patients with ICH is a key objective in emergency care. Accurate and efficient prognostic tools can effectively prevent, manage, and monitor adverse events in ICH patients, maximizing treatment outcomes.

A prospective cohort study regarding usability of serum RIPK3 as a biomarker in relation to early hematoma growth and neurological outcomes after acute intracerebral hemorrhage

ObjectiveThe receptor-interacting protein kinase 3 (RIPK3) is a pivotal component for triggering necroptosis. We intended to investigate predictive effects of serum RIPK3 levels on early hematoma growth (EHG) and poor neurological outcome after acute intracerebral hemorrhage (ICH). MethodsIn this prospective cohort study, 183 ICH patients and 100 controls were enrolled for measuring serum RIPK3 levels. National Institutes of Health Stroke Scale (NIHSS) and hematoma volume were recorded as the severity indicators. EHG and poststroke 6-month unfavorable outcome (modified Rankin Scale scores of 3–6) were registered as the two prognostic parameters. Multivariate analyses were implemented to discern relevance of serum RIPK3 to ICH severity and prognosis. ResultsSerum RIPK3 levels of patients, which were dramatically higher than those of controls, were independently related to NIHSS scores, hematoma volume, EHG, 6-month mRS scores and unfavorable outcome. Risks of EHG and unfavorable outcome were linearly pertinent to and efficiently discriminated by RIPK3 levels under restricted cubic spline and receiver operating characteristic curve respectively. RIPK3 levels nonsignificantly interacted with age, gender, hypertension, etc. Predictive ability of RIPK3 levels resembled those of NIHSS scores and hematoma volume. The prediction models, in which serum RIPK3, NIHSS scores and hematoma volume were integrated, were visually displayed via nomograms. The models’ predictive capabilities substantially surpassed that of serum RIPK3, NIHSS scores and hematoma volumes alone. The models kept stable under calibration curve. ConclusionA profound increase of serum RIPK3 levels after ICH is tightly relevant to severity, EHG and poor neurological outcomes, assuming that serum RIPK3 may emerge as a valuable prognostic predictor of ICH.

Recent Updates of Stem Cell Therapy in Spontaneous Intracerebral Haemorrhage Patients: A Review Article

Recent Updates of Stem Cell Therapy in Spontaneous Intracerebral Haemorrhage Patients: A Review Article

The National Institutes of Health Stroke Scale is comparable to the ICH score in predicting outcomes in spontaneous acute intracerebral hemorrhage.

Validating the National Institutes of Health NIH Stroke Scale (NIHSS) as a tool to assess deficit severity and prognosis in patients with acute intracerebral hemorrhage would harmonize the assessment of intracerebral hemorrhage (ICH) and acute ischemic stroke (AIS) patients, enable clinical use of a readily implementable and non-imaging dependent prognostic tool, and improve monitoring of ICH care quality in administrative datasets. Among randomized trial ICH patients, the relation between NIHSS scores early after Emergency Department arrival and 3-month outcomes of dependency or death (modified Rankin Scale, mRS 3-6) and case fatality was examined. NIHSS predictive performance was compared to a current standard prognostic scale, the intracerebral hemorrhage score (ICH score). Among the 384 patients, the mean age was 65 (±13), with 66% being male. The median NIHSS score was 16 (interquartile range (IQR) 9-25), the mean initial hematoma volume was 29 mL (±38), and the ICH score median was 1 (IQR 0-2). At 3 months, the mRS had a median of 4 (IQR 2-6), with dependency or death occurring in 70% and case fatality in 26%. The NIHSS and ICH scores were strongly correlated (r = 0.73), and each was strongly correlated with the 90-day mRS (NIHSS, r = 0.61; ICH score, r = 0.62). The NIHSS performed comparably to the ICH score in predicting both dependency or death (c = 0.80 vs. 0.80, p = 0.83) and case fatality (c = 0.78 vs. 0.80, p = 0.29). At threshold values, the NIHSS predicted dependency or death with 74.1% accuracy (NIHSS 17.5) and case fatality with 75.0% accuracy (NIHSS 18.5). The NIHSS forecasts 3-month functional and case fatality outcomes with accuracy comparable to the ICH Score. Widely documented in routine clinical care and administrative data, the NIHSS can serve as a valuable measure for clinical prognostication, therapy development, and case-mix risk adjustment in ICH patients.Clinical trial registrationClinicaltrials.gov, NCT00059332.

The Relationship between Vitamin D Serum Levels, Disease Severity, and Bleeding Volume in Patients with Intracerebral Hemorrhage

Background: Stroke is the main cause of death and disability worldwide. Intracerebral hemorrhage (ICH) is a subtype that contributes to 10 to 20% of all stroke events. Meanwhile, several studies in Indonesia show that the rates of vitamin D deficiency and insufficiency are still high, at 60.6% and 33.3% respectively in young adults. Several studies have shown vitamin D deficiency during hospital admission is a potential biomarker for poor functional outcomes in patients with acute ischemic stroke or ICH. This research aimed to analyze the relationship between serum vitamin D levels, disease severity, and bleeding volume of ICH patients. Methods: The study design was cross-sectional to assess the relationship between serum vitamin D levels, categorized as deficiency (&lt;20 ng/mL), insufficiency (20-30 ng/mL), and normal (&gt;30 ng/mL), with the severity of ICH as assessed by the NIHSS score and bleeding volume on head CT scans. Results: From a total of 31 patients, the Spearman correlation test of the relationship between vitamin D levels and NIHSS scores obtained a weak correlation (r=0.127; p=0.494). The Kruskal Wallis test showed that there was no significant difference in the mean value of NIHSS scores in the vitamin D level categories (p=0.310). The Spearman correlation test of the relationship between vitamin D levels and bleeding volume obtained a weak correlation with an (r=0.044; p=0.823). The Kruskal Wallis test showed there was no significant difference in the mean value of bleeding volume in the vitamin D level category (p=0.439). Conclusion: There is no relationship between serum vitamin D levels, disease severity, and bleeding volume in ICH patients. Further research is needed to analyze the relationship between vitamin D serum levels and the severity of ICH with a retrospective cohort study design and discuss the effect of vitamin D on long-term functional outcomes.

Optic Nerve Sheath Diameter is not a predictor of functional outcomes in ICH Patients

Objectives: Optic nerve sheath diameter (ONSD) may serve as an early marker of increasing intracranial pressure resulting from intracerebral hemorrhage (ICH). We investigated if changes in ONSD can predict 90-day functional outcomes in ICH patients.Materials and Methods: We utilized ERICH (Ethnic/Racial Variations of Intracerebral Hemorrhage), a prospective, multi-center, case-control study of 3000 patients. We included patients with baseline and follow-up head CT with available outcomes. We measured change in ONSD from baseline and follow-up CT within a 6 (±1) hour window. Our primary outcome was the 90-day Modified Rankin (mRS) score. We compared patients with good (mRS 0-3) versus poor outcomes (mRS 4-6) to presence of significant change in ONSD using univariate analysis. We did an analysis of variance to assess for differences in ONSD.Results: Of 93 ICH patients who fit the inclusion criteria, the mean age was 64.1 (SD +/- 14.6), with 36.6 % being females. Forty-nine patients (47.1 %) had significant ONSD change between baseline and follow-up CT. ONSD change in the poor outcome group was not significantly different than that of the good outcome group in both the right and left hemispheres (p = 0.21 and p = 0.63 respectively).Conclusions: We found that early change in the ONSD within the first 6 h of presentation in patients with ICH does not predict functional outcomes at three months.

Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan.

Predicting functional impairment after intracerebral hemorrhage (ICH) provides valuable information for planning of patient care and rehabilitation strategies. Current prognostic tools are limited in making long term predictions and require multiple expert-defined inputs and interpretation that make their clinical implementation challenging. This study aimed to predict long term functional impairment of ICH patients from admission non-contrast CT scans, leveraging deep learning models in a survival analysis framework. We used the admission non-contrast CT scans from 882 patients from the Massachusetts General Hospital ICH Study for training, hyperparameter optimization, and model selection, and 146 patients from the Yale New Haven ICH Study for external validation of a deep learning model predicting functional outcome. Disability (modified Rankin scale [mRS] > 2), severe disability (mRS > 4), and dependent living status were assessed via telephone interviews after 6, 12, and 24 months. The prediction methods were evaluated by the c-index and compared with ICH score and FUNC score. Using non-contrast CT, our deep learning model achieved higher prediction accuracy of post-ICH dependent living, disability, and severe disability by 6, 12, and 24 months (c-index 0.742 [95% CI -0.700 to 0.778], 0.712 [95% CI -0.674 to 0.752], 0.779 [95% CI -0.733 to 0.832] respectively) compared with the ICH score (c-index 0.673 [95% CI -0.662 to 0.688], 0.647 [95% CI -0.637 to 0.661] and 0.697 [95% CI -0.675 to 0.717]) and FUNC score (c-index 0.701 [95% CI- 0.698 to 0.723], 0.668 [95% CI -0.657 to 0.680] and 0.727 [95% CI -0.708 to 0.753]). In the external independent Yale-ICH cohort, similar performance metrics were obtained for disability and severe disability (c-index 0.725 [95% CI -0.673 to 0.781] and 0.747 [95% CI -0.676 to 0.807], respectively). Similar AUC of predicting each outcome at 6 months, 1 and 2 years after ICH was achieved compared with ICH score and FUNC score. We developed a generalizable deep learning model to predict onset of dependent living and disability after ICH, which could help to guide treatment decisions, advise relatives in the acute setting, optimize rehabilitation strategies, and anticipate long-term care needs.

Long-term survival of traumatic brain injury and intra-cerebral haemorrhage patients: A multicentric observational cohort

PurposeMortality is often assessed during ICU stay and early after, but rarely at later stage. We aimed to compare the long-term mortality between TBI and ICH patients. Materials and methodsFrom an observational cohort, we studied 580 TBI patients and 435 ICH patients, admitted from January 2013 to February 2021 in 3 ICUs and alive at 7-days post-ICU discharge. We performed a Lasso-penalized Cox survival analysis. ResultsWe estimated 7-year survival rates at 72.8% (95%CI from 67.3% to 78.7%) for ICH patients and at 84.9% (95%CI from 80.9% to 89.1%) for TBI patients: ICH patients presenting a higher mortality risk than TBI patients. Additionally, we identified variables associated with higher mortality risk (age, ICU length of stay, tracheostomy, low GCS, absence of intracranial pressure monitoring). We also observed anisocoria related with the mortality risk in the early stage after ICU stay. ConclusionsIn this ICU survivor population with a prolonged follow-up, we highlight an acute risk of death after ICU stay, which seems to last longer in ICH patients. Several variables characteristic of disease severity appeared associated with long-term mortality, raising the hypothesis that the most severe patients deserve closer follow-up after ICU stay.

Spontaneous intracerebral hemorrhage – patients retrospectively consent to fibrinolytic surgery despite poor neurological outcome and reduced health-related quality of life

Spontaneous intracerebral hemorrhage (ICH) might lead to devastating consequences. Nonetheless, subjective interpretation of life circumstances might vary. Recent data from ischemic stroke patients show that there might be a paradox between clinically rated neurological outcome and self-reported satisfaction with quality of life. Our hypothesis was that minimally invasive surgically treated ICH patients would still give their consent to stereotactic fibrinolysis despite experiencing relatively poor neurological outcome. In order to better understand the patients’ perspective and to enhance insight beyond functional outcome, this is the first study assessing disease-specific health-related quality of life (hrQoL) in ICH after fibrinolytic therapy. We conducted a retrospective analysis of patients with spontaneous ICH treated minimally invasive by stereotactic fibrinolysis. Subsequently, using standardized telephone interviews, we evaluated functional outcome with the modified Rankin Scale (mRS), health-related Quality of Life with the Quality of life after Brain Injury Overall scale (QOLIBRI-OS), and assessed retrospectively if the patients would have given their consent to the treatment. To verify the primary hypothesis that fibrinolytic treated ICH patients would still retrospectively consent to fibrinolytic therapy despite a relatively poor neurological outcome, we conducted a chi-square test to compare good versus poor outcome (mRS) between consenters and non-consenters. To investigate the association between hrQoL (QOLIBRI-OS) and consent, we conducted a Mann-Whitney U-test. Moreover, we did a Spearman correlation to investigate the correlation between functional outcome (mRS) and hrQoL (QOLIBRI-OS). The analysis comprised 63 data sets (35 men, mean age: 66.9 ± 11.8 years, median Hemphill score: 3 [2-3]). Good neurological outcome (mRS 0–3) was achieved in 52% (33/63) of the patients. Patients would have given their consent to surgery retrospectively in 89.7% (52/58). These 52 consenting patients comprised all 33 patients (100%) who achieved good functional outcome and 19 of the 25 patients (76%) who achieved poor neurological outcome (mRS 4–6). The mean QOLIBRI-OS value was 49.55 ± 27.75. A significant association between hrQoL and retrospective consent was found (p = 0.004). This study supports fibrinolytic treatment of ICH even in cases when poor neurological outcome would have to be assumed since subjective perception of deficits could be in contrast with the objectively measured neurological outcome. HrQoL serves as a criterion for success of rtPa lysis therapy in ICH.

C-reactive protein is a predictor for lower-extremity deep venous thrombosis in patients with primary intracerebral hemorrhage

ObjectiveOur study aimed to determine whether there exists an association between low-grade systemic inflammation, as measured by serum C-reactive protein (CRP), and the risk of lower-extremity deep venous thrombosis (LEDVT) in patients with primary intracerebral hemorrhage (ICH).MethodsThis observational study was retrospectively conducted on patients with primary ICH who were presented to two tertiary medical centers between January 2021 and August 2022. The primary outcome was detecting LEDVT occurrence within 14 days from the onset of the acute ICH episode. Weighted logistic regression and restricted cubic spline models were employed to estimate the association between CRP and LEDVT following 1:1 propensity score matching (PSM).ResultsOf the 538 patients with primary ICH who met the inclusion criteria, 76 (14.13%) experienced LEDVT. Based on the cut-off levels of CRP measured upon admission from the receiver operating characteristic (ROC) curve, patients with primary ICH were categorized into two groups: (i) CRP < 1.59 mg/L and (ii) CRP ≥ 1.59 mg/L. After 1:1 PSM, the LEDVT events occurred in 24.6% of patients with CRP ≥ 1.59 mg/L and 4.1% of patients with CRP < 1.59 mg/L (P < 0.001). ROC curve revealed the area under the ROC curve of 0.717 [95% confidence interval (CI) 0.669–0.761, P < 0.001] for CRP to predict LEDVT with a sensitivity of 85.71% and specificity of 56.29%. After adjusting for all confounding variables, the occurrence of LEDVT in ICH patients with higher CRP levels (≥ 1.59 mg/L) was 10.8 times higher compared to those with lower CRP levels (95% CI 4.5–25.8, P < 0.001). A nonlinear association was observed between CRP and an increased risk of LEDVT in the fully adjusted model (P for overall < 0.001, P for nonlinear = 0.001). The subgroup results indicated a consistent positive link between CRP and LEDVT events following primary ICH.ConclusionsHigher initial CRP levels (CRP as a dichotomized variable) in patients with primary ICH are significantly associated with an increased risk of LEDVT and may help identify high-risk patients with LEDVT. Clinicians should be vigilant to enable early and effective intervention in patients at high risk of LEDVT.

Prognostic biomarkers of intracerebral hemorrhage identified using targeted proteomics and machine learning algorithms.

Early prognostication of patient outcomes in intracerebral hemorrhage (ICH) is critical for patient care. We aim to investigate protein biomarkers' role in prognosticating outcomes in ICH patients. We assessed 22 protein biomarkers using targeted proteomics in serum samples obtained from the ICH patient dataset (N = 150). We defined poor outcomes as modified Rankin scale score of 3-6. We incorporated clinical variables and protein biomarkers in regression models and random forest-based machine learning algorithms to predict poor outcomes and mortality. We report Odds Ratio (OR) or Hazard Ratio (HR) with 95% Confidence Interval (CI). We used five-fold cross-validation and bootstrapping for internal validation of prediction models. We included 149 patients for 90-day and 144 patients with ICH for 180-day outcome analyses. In multivariable logistic regression, UCH-L1 (adjusted OR 9.23; 95%CI 2.41-35.33), alpha-2-macroglobulin (aOR 5.57; 95%CI 1.26-24.59), and Serpin-A11 (aOR 9.33; 95%CI 1.09-79.94) were independent predictors of 90-day poor outcome; MMP-2 (aOR 6.32; 95%CI 1.82-21.90) was independent predictor of 180-day poor outcome. In multivariable Cox regression models, IGFBP-3 (aHR 2.08; 95%CI 1.24-3.48) predicted 90-day and MMP-9 (aOR 1.98; 95%CI 1.19-3.32) predicted 180-day mortality. Machine learning identified additional predictors, including haptoglobin for poor outcomes and UCH-L1, APO-C1, and MMP-2 for mortality prediction. Overall, random forest models outperformed regression models for predicting 180-day poor outcomes (AUC 0.89), and 90-day (AUC 0.81) and 180-day mortality (AUC 0.81). Serum biomarkers independently predicted short-term poor outcomes and mortality after ICH. Further research utilizing a multi-omics platform and temporal profiling is needed to explore additional biomarkers and refine predictive models for ICH prognosis.

Etiology, Risk Factors and Outcome of Spontaneous Intracerebral Hemorrhage in Young Adults Admitted to Tertiary Care Hospital in Mogadishu, Somalia.

Spontaneous Intracerebral hemorrhage (ICH) in young patients is less common and not well studied compared to ICH in older patients. The etiology, risk factors and outcome of ICH in young patients may have regional and ethnic differences. The study aims to investigate the clinical characteristics, risk factors, etiology and outcome of spontaneous intracerebral hemorrhage in young adults in Somalia. The study enrolled 168 young patients with ICH (16-50 years) admitted to the neurology department of a tertiary hospital from 2019 to 2022. The information about the demographic details, documented ICH risk factors, etiology and patients' clinical status were retrieved. The etiology of ICH was determined based on clinical, laboratory and radiological findings. Intra-hospital survival status and associated factors were assessed. The mean age of the patients was 35±8.6 years. 99 (59%) of patients were male while 69 (41%) were females. Hypertension 48 (29%) was the most common risk factor, followed by substance abuse. Hypertensive hemorrhage was the most common etiology of ICH 60 (35.7%), followed by cerebral venous thrombosis (CVT) 5(15%), substance abuse 23 (13.7%) and arteriovenous malformation (AVM) in 10 (6%). AVM, CVT, cavernoma, eclampsia, substance abuse and cryptogenic etiology were more common in the 2nd and 3rd decades whereas hypertension was more common in the 4th and 5th decade. Intrahospital mortality was 28% in this study. Factors predicting intrahospital mortality were hematoma volume of greater than 30mL, thrombolytic etiology, brainstem ICH location, substance abuse related etiology, presence of associated mass effect, low GCS score on admission, high systolic blood pressure on admission, and the presence of chronic renal failure. In this study, hypertension, substance abuse, CVT and vascular malformation are the leading causes of ICH in young adults. Intracerebral hemorrhage in the young has different spectrum of etiologies and factors associated with short-term mortality compared to older patients.

Application of Robotic Stereotactic Assistance (ROSA) for spontaneous intracerebral hematoma aspiration and thrombolytic catheter placement

BackgroundSpontaneous intracerebral hemorrhage (ICH) accounts for up to 20% of all strokes and results in 40% mortality at 30 days. Although conservative medical management is still the standard treatment for ICH patients with small hematoma, patients with residual hematoma ≤15 mL after surgery are associated with better functional outcomes and survival rates. This study reported our clinical experience with using Robotic Stereotactic Assistance (ROSA) as a safe and effective approach for stereotactic ICH aspiration and intra-clot catheter placement. MethodsA retrospective analysis was conducted of patients with spontaneous ICH who underwent ROSA-guided ICH aspiration surgery. ROSA-guided ICH surgical techniques, an aspiration and intra-clot catheter placement protocol, and a specific operative workflow (pre-operative protocol, intraoperative procedure and postoperative management) were employed to aspirate ICH using the ROSA One Brain, and appropriate follow-up care was provided. ResultsFrom September 14, 2021 to May 4, 2022, a total of 7 patients were included in the study. Based on our workflow design, ROSA-guided stereotactic ICH aspiration effectively aspirated more than 50% of hematoma volume (or more than 30 mL for massive hematomas), thereby reducing the residual hematoma to less than 15 mL. The mean operative time of entire surgical procedure was 1.3 ± 0.3 h, with very little perioperative blood loss and no perioperative complications. No patients required catheter replacement and all patients’ functional status improved. ConclusionsWithin our clinical practice ROSA-guided ICH aspiration, using our established protocol and workflow, was safe and effective for reducing hematoma volume, with positive functional outcomes.

How much of the variance in functional outcome related to intracerebral hemorrhage volume is already apparent in neurological status at admission?

BackgroundHematoma volume is a major pathophysiological hallmark of acute intracerebral hemorrhage (ICH). We investigated how the variance in functional outcome induced by the ICH volume is explained by neurological deficits at admission using a mediation model.MethodsPatients with acute ICH treated in three tertiary stroke centers between January 2010 and April 2019 were retrospectively analyzed. Mediation analysis was performed to investigate the effect of ICH volume (0.8 ml (5% quantile) versus 130.6 ml (95% quantile)) on the risk of unfavorable functional outcome at discharge defined as modified Rankin Score (mRS) ≥ 3 with mediation through National Institutes of Health Stroke Scale (NIHSS) at admission. Multivariable regression was conducted to identify factors related to neurological improvement and deterioration.ResultsThree hundred thirty-eight patients were analyzed. One hundred twenty-one patients (36%) achieved mRS ≤ 3 at discharge. Mediation analysis showed that NIHSS on admission explained 30% [13%; 58%] of the ICH volume-induced variance in functional outcome at smaller ICH volume levels, and 14% [4%; 46%] at larger ICH volume levels. Higher ICH volume at admission and brainstem or intraventricular location of ICH were associated with neurological deterioration, while younger age, normotension, lower ICH volumes, and lobar location of ICH were predictors for neurological improvement.ConclusionNIHSS at admission reflects 14% of the functional outcome at discharge for larger hematoma volumes and 30% for smaller hematoma volumes. These results underscore the importance of effects not reflected in NIHSS admission for the outcome of ICH patients such as secondary brain injury and early rehabilitation.

Hypertension control after intracerebral hemorrhage among varying small vessel disease etiologies.

Intracerebral hemorrhage (ICH) is attributable to cerebral small vessel disease (cSVD), which includes cerebral amyloid angiopathy (CAA) and hypertensive-cSVD (HTN-cSVD). HTN-cSVD includes patients with strictly deep ICH/microbleeds and mixed location ICH/microbleeds, the latter representing a more severe form of HTN-cSVD. We test the hypothesis that more severe forms of HTN-cSVD are related to worse hypertension control in long-term follow-up after ICH. From consecutive non-traumatic ICH patients admitted to a tertiary care center, we classified the ICH as CAA, strictly deep ICH/microbleeds, and mixed-location ICH/microbleeds. CSVD burden was quantified using a validated MRI-based score (range: 0-6 points). We created a multivariable (linear mixed effects) model adjusting for age, sex, race, year of inclusion, hypertension, and antihypertensive medication usage to investigate the association of average systolic blood pressure (SBP) during follow-up with cSVD etiology/severity. 796 ICH survivors were followed for a median of 48.8months (IQR 41.5-60.4). CAA-related ICH survivors (n = 373) displayed a lower median SBP (138mmHg, IQR 133-142mmHg) compared to those of strictly deep ICH (n = 222, 141mmHg, IQR 136-143mmHg, p = 0.04), and mixed location ICH/microbleeds (n = 201, 142mmHg, IQR 135-144mmHg, p = 0.02). In the multivariable analysis, mixed location ICH/microbleeds (effect: + 3.8mmHg, SE: 1.3mmHg, p = 0.01) and increasing cSVD severity (+ 1.8mmHg per score point, SE: 0.8mmHg, p = 0.03) were associated with higher SBP in follow-up. CSVD severity and subtype predicts long-term hypertension control in ICH patients.

The potential for minimally invasive intracerebral hemorrhage evacuation in routine healthcare: applicability of the ENRICH trial criteria to an unselected cohort

ObjectiveFollowing the favorable outcomes demonstrated by the Early MiNimally-invasive Removal of IntraCerebral Hemorrhage (ENRICH) trial in supratentorial intracerebral hemorrhage (ICH) patients treated with minimally invasive surgery (MIS), and considering the increasing interest in MIS, we aimed to assess the potential eligibility rate for ICH patients in Sweden.MethodsAll patients with spontaneous ICH in the Swedish Stroke Register (RS) during 2017–2020 in Skane county (1.37 million) were assessed. Baseline imaging was used for radiological characterization. Clinical data were obtained from RS. MIS eligibility in the total ICH population meeting ENRICH criteria were estimated and extrapolated to the Swedish population (10.5 million).ResultsOf 1,314 ICH patients, 5.9% met the ENRICH criteria for MIS (ICH volume 30–80 ml). Considering the ENRICH trial results indicating the effectiveness of MIS was mainly attributable to intervention for lobar hemorrhages, we determined that 2.8% of our ICH cohort in Sweden would be eligible for MIS. The estimated rate of neurosurgery for ICH could increase from the current 1.46–1.90 patients/100,000 population/year (in absolute numbers from 154 to 200 interventions out of 2,400 ICHs in Sweden annually).ConclusionsWe show that 2.8% of the Skane ICH population would be eligible for MIS if ENRICH criteria are employed for patients with lobar ICH, corresponding to a 29% increase of current surgical rates for ICH in Sweden. As MIS for ICH is not yet standard practice in Sweden, consideration for its implementation within the neurosurgical organization becomes essential to accommodate the anticipated increase in patient demand.

The Trends of Neutrophil-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, and Systemic Immunoinflammatory Index in Patients with Intracerebral Hemorrhage and Clinical Value in Predicting Pneumonia 30 Days After Surgery

BackgroundInflammatory response is closely associated with secondary brain injury and pneumonia in intracerebral hemorrhage (ICH). In this study, we aimed to investigate the value of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immunoinflammatory index (SII) in the development of pneumonia in ICH patients 30 days after surgery. MethodsWe retrospectively collected clinical data on patients with ICH who underwent surgical treatment at our institution from January 2016 to December 2022, mainly including NLR, PLR and SII at different time points. Receiver operating characteristic (ROC) curves were used to compare the value of different inflammatory indicators in predicting the development of postoperative pneumonia 30 days after surgery in ICH patients, and multivariate logistic regression analyses were used to identify independent risk factors for pneumonia 30 days after surgery. ResultsAmong 112 patients with intracerebral hemorrhage undergoing surgical treatment, 31 (27.7%) developed pneumonia postoperatively. The results of the univariate analysis demonstrated that patients in the pneumonia group experienced significantly higher blood glucose, NLR3, PLR3, and SII3 than those in the non- pneumonia group, and significantly lower admission Glasgow Coma Scale (GCS) scores than those in the Non- pneumonia group (all P<0.05). NLR, PLR, and SII showed an increasing and then decreasing in the disease process of intracerebral hemorrhage, and peaked at 48 hours postoperatively. Multivariable logistic regression analysis revealed that SII3 was an independent risk factor for postoperative pneumonia 30 days after surgery in ICH patients (OR=1.001, 95%CI: 1.000-1.002, P=0.008). The area under the curve (AUC) of the developed nomogram model was 0.895 (95%CI = 0.823 - 0.967), with a sensitivity and specificity of 0.903 and 0.815, respectively, providing good predictive power. ConclusionsIn the course of intracerebral hemorrhage, NLR, PLR, and SII increased and then decreased, and peaked at 48 hours postoperatively. The SII3 was the best predictor of the occurrence of pneumonia postoperatively in ICH patients.

Red cell distribution width to lymphocyte ratio could serve as a new inflammatory biomarker for predicting hematoma expansion in patients with intracerebral hemorrhage

BackgroundHematoma expansion is a critical factor associated with increased mortality and adverse outcomes in patients with intracerebral hemorrhage (ICH). Identifying and preventing hematoma expansion early on is crucial for effective therapeutic intervention. This study aimed to investigate the potential association between the Red cell distribution width to lymphocyte ratio (RDWLR) and hematoma expansion in ICH patients.MethodsWe conducted a retrospective analysis of clinical data from 303 ICH patients treated at our department between May 2018 and May 2023. Demographic, clinical, radiological, and laboratory data, including RDWLR upon admission, were assessed. Binary logistic regression analysis was employed to determine independent associations between various variables and hematoma expansion.ResultsThe study included 303 ICH patients, comprising 167 (55.1%) males and 136 (44.9%) females, with a mean age of 65.25 ± 7.32 years at admission. Hematoma expansion occurred in 73 (24.1%) cases. Multivariate analysis revealed correlations between hematoma volume at baseline (OR, 2.73; 95% CI: 1.45 -4,78; P < 0.001), admission systolic blood pressure (OR, 2.98 ; 95% CI: 1.54–4.98; P < 0.001), Glasgow Coma Scale (GCS) (OR, 1.58; 95% CI: 1.25–2.46; P = 0.017), and RDWLR (OR, 1.58; 95% CI: 1.13–2.85; P = 0.022) and hematoma expansion in these patients.ConclusionsOur findings suggest that RDWLR could serve as a new inflammatory biomarker for hematoma expansion in ICH patients. This cost-effective and readily available biomarker has the potential for early prediction of hematoma expansion in these patients.

MicroRNA-451 Regulates Angiogenesis in Intracerebral Hemorrhage by Targeting Macrophage Migration Inhibitory Factor.

Intracerebral hemorrhage (ICH) is a subtype of stroke with the highest fatality and disability rate. Up to now, commonly used first-line therapies have limited value in improving prognosis. Angiogenesis is essential to neurological recovery after ICH. Recent studies have shown that microRNA-451(miR-451) plays an important role in angiogenesis by regulating the function of vascular endothelial cells. We found miR-451 was significantly decreased in the peripheral blood of ICH patients in the acute stage. Based on the clinical findings, we conducted this study to investigate the potential regulatory effect of miR-451 on angiogenesis after ICH. The expression of miR-451 in ICH mouse model and in a hemin toxicity model of human brain microvascular endothelial cells (hBMECs) was decreased the same as in ICH patients. MiR-451 negatively regulated the proliferation, migration, and tube formation of hBMECs in vitro. MiR-451 negatively regulated the microvessel density in the perihematoma tissue and affected neural functional recovery of ICH mouse model. Knockdown of miR-451 could recovered tight junction and protect the integrity of blood-brain barrier after ICH. Based on bioinformatic programs, macrophage migration inhibitory factor (MIF) was predicted to be the target gene and identified to be regulated by miR-451 inhibiting the protein translation. And p-AKT and p-ERK were verified to be downstream of MIF in angiogenesis. These results all suggest that miR-451 will be a potential target for regulating angiogenesis in ICH.

Abnormal dynamic functional connectivity in young nondisabling intracerebral hemorrhage patients.

Previous resting-state functional magnetic resonance imaging studies on intracerebral hemorrhage patients have focused more on the static characteristics of brain activity, while the time-varying effects during scanning have received less attention. Therefore, the current study aimed to explore the dynamic functional network connectivity changes of intracerebral hemorrhage patients. Using independent component analysis, the sliding window approach, and the k-means clustering analysis method, different dynamic functional network connectivity states were detected from resting-state functional magnetic resonance imaging data of 37 intracerebral hemorrhage patients and 44 healthy controls. The inter-group differences in dynamic functional network connectivity patterns and temporal properties were investigated, followed by correlation analyses between clinical scales and abnormal functional indexes. Ten resting-state networks were identified, and the dynamic functional network connectivity matrices were clustered into four different states. The transition numbers were decreased in the intracerebral hemorrhage patients compared with healthy controls, which was associated with trail making test scores in patients. The cerebellar network and executive control network connectivity in State 1 was reduced in patients, and this abnormal dynamic functional connectivity was positively correlated with the animal fluency test scores of patients. The current study demonstrated the characteristics of dynamic functional network connectivity in intracerebral hemorrhage patients and revealed that abnormal temporal properties and functional connectivity may be related to the performance of different cognitive domains after ictus. These results may provide new insights into exploring the neurocognitive mechanisms of intracerebral hemorrhage.