Intracranial pressure monitoring in patients with spontaneous intracerebral hemorrhage: a systematic review with meta-analysis.

OBJECTIVE: To describe the potential effects of Intracranial pressure monitoring on the outcome of patients with spontaneous intracerebral hemorrhage. DESIGN: Systematic review with meta-analysis. SETTING: Observational and interventional studies published up to May 30th, 2024, were considered for inclusion. We investigated the effects of increased Intracranial pressure and intracranial pressure monitoring on relevant clinical outcomes. POPULATION: Patients with spontaneous intracerebral hemorrhage treated with intracranial pressure monitoring. MAIN OUTCOME MEASURES: The primary outcome was mortality at 6 months and in-hospital mortality. The secondary outcome was poor neurological function outcome at 6 months. RESULTS: This analysis compares in-hospital and 6-month mortality rates between patients with intracranial pressure monitoring (ICPm) and those without (no ICPm). Although the ICPm group had a lower in-hospital mortality rate, it was not statistically significant (24.9% vs. 34.1%; OR 0.51, 95% CI 0.20 to 1.31, p=0.16). Excluding patients with intraventricular hemorrhage (IVH) revealed a significant reduction in in-hospital mortality for the ICPm group (23.5% vs. 43%; OR 0.39, 95% CI 0.29 to 0.53, p < 0.00001). For 6-month mortality, the ICPm group showed a significant reduction (32% vs. 39.6%; OR 0.76, 95% CI 0.61 to 0.94, p=0.01), with the effect being more pronounced after excluding IVH patients (29.1% vs. 47.2%; OR 0.45, 95% CI 0.34 to 0.60, p<0.0001). However, there were no statistically significant differences in 6-month functional outcomes between the groups. Increased ICP was associated with higher 3-month mortality (OR 1.12, 95% CI 1.07 to 1.18, p < 0.00001) and lower likelihood of good functional outcomes (OR 1.11, 95% CI 1.04 to 1.18, p < 0.00001). CONCLUSIONS: Elevated ICP is associated with increased mortality and poor prognosis in ICH patients. Although continuous intracranial pressure monitoring may reduce short-term mortality rates in specific subgroups of ICH patients, it does not improve neurological functional outcomes. While potential patient populations may benefit from ICP monitoring, more research is needed to screen suitable populations for ICP monitoring.

A Novel Machine Learning Model for Predicting Stroke-Associated Pneumonia After Spontaneous Intracerebral Hemorrhage.

BACKGROUND: Pneumonia is one of the most common complications after spontaneous intracerebral hemorrhage (sICH), i.e., stroke-associated pneumonia (SAP). Timely identification of targeted patients is beneficial to reduce poor prognosis. So far, there is no consensus on SAP prediction, and application of existing predictors is limited. The aim of this study was to develop a machine learning model to predict SAP after sICH. METHODS: We retrospectively reviewed 748 patients diagnosed with sICH and collected data from 4 dimensions-demographic features, clinical features, medical history, and laboratory tests. Five machine learning algorithms-logistic regression, gradient boosting decision tree, random forest, extreme gradient boosting, and category boosting-were used to build and validate the predictive model. We also applied recursive feature elimination with cross-validation to obtain the best feature combination for each model. Predictive performance was evaluated by area under the receiver operating characteristic curve. RESULTS: SAP was diagnosed in 237 patients. The model developed by category boosting yielded the most satisfactory outcomes overall with area under the receiver operating characteristic curves in the training set and test set of 0.8307 and 0.8178, respectively. CONCLUSIONS: The incidence of SAP after sICH in our center was 31.68%. Machine learning could potentially provide assistance in the prediction of SAP after sICH.

Low Prognostic Nutritional Index Predicts In-Hospital Complications and Case Fatality in Patients with Spontaneous Intracerebral Hemorrhage: A Retrospective Study.

BACKGROUND: Spontaneous intracerebral hemorrhage (ICH) is associated with high case fatality and significant healthcare costs. Recent studies emphasize the critical role of nutritional status in affecting outcomes in neurological disorders. This study investigates the relationship between the Prognostic Nutrition Index (PNI) and in-hospital complications and case fatality among patients with ICH. METHODS: A retrospective analysis was performed using data from the Changhua Christian Hospital Clinical Research Database between January 2015 and December 2022. Patients under 20 or over 100 years of age or with incomplete medical data were excluded. We utilized restricted cubic spline models, Kaplan-Meier survival analysis, and ROC analysis to assess the association between PNI and clinical outcomes. Propensity score matching analysis was performed to balance these clinical variables between groups. RESULTS: In this study, 2402 patients with spontaneous ICH were assessed using the median PNI value of 42.77. The cohort was evenly divided between low and high PNI groups, predominantly male (59.1%), with an average age of 64 years. Patients with lower PNI scores at admission had higher in-hospital complications and increased 28- and 90-day case fatality rates. CONCLUSIONS: Our study suggests that PNI could serve as a valuable marker for predicting medical complications and case fatality in patients with spontaneous ICH.

Prognostic relationship between high sensitivity troponin I level, hematoma volume and glasgow coma score in patients diagnosed with spontaneous intracerebral hemorrhage.

BACKGROUND: Intracranial hemorrhages is one of the major causes of mortality and morbidity worldwide, and there is still no effective biomarker to predict prognosis. AIM: We aimed to determine the effectiveness of high sensitive troponin I (hs-cTn-I) levels to predict the prognosis of spontaneous intracerebral hemorrhage (sICH) by comparing Glasgow Coma Score (GCS) and hematoma volume with hs-cTn-I levels. METHODS: This study was planned as a retrospective observational study. Patients with available data, over 18 years old and sICH were included in the study. Cerebral computed tomography images were evaluated by a senior radiologist. Hematoma volume was calculated using the ABC/2 formula. RESULTS: The study comprised 206 individuals in total 78 (37.86%) women and 128 (62.13%) men. Forty-four (21.35%) of patients died. The sensitivity of GCS, hs-cTn-I, and hematoma volume values were 86.36%, 66.67%, and 59.46%, respectively, with corresponding specificities of 78.75%, 93.02%, and 87.58%. Patients with hs-cTn-I values over 26, GCS values of ≤ 9, and hematoma volume values above 44.16 were found to have higher risk of mortality (p = 0.011; p < 0.001; p < 0.001, respectively). The mortality rates were found to be increased 2.586 (IQR: 1.224-5.463) times in patients with hs-cTn-I values above 26, 0.045 times (IQR: 0.018-0.115) in patients with GCS values ≤ 9, and 7.526 times (IQR: 3.518-16.100) in patients with hematoma volume values above 44.16. CONCLUSIONS: Our findings suggest that hs-cTn-I values exceeding 26 units may serve as effective biochemical markers for predicting the prognosis of patients with sICH.

Early postoperative acetylsalicylic acid administration does not increase the risk of postoperative intracranial bleeding in patients with spontaneous intracerebral hemorrhage.

Administration of acetylsalicylic acid (ASA) at early stage after surgery for spontaneous intracerebral hemorrhage (SICH) may increase the risk of postoperative intracranial bleeding (PIB), because of potential inhibition of platelet function. This study aimed to investigate whether early ASA administration after surgery was related to increased risk of PIB. This retrospective study enrolled SICH patients receiving surgery from September 2019 to December 2022 in seven medical institution. Based on postoperative ASA administration, patients who continuously received ASA more than three days within seven days post-surgery were identified as ASA users, otherwise as non-ASA users. The primary outcome was symptomatic PIB events within seven days after surgery. Incidence of PIB was compared between ASA users and non-ASA users using survival analysis. This study included 744 appropriate patients from 794 SICH patients. PIB occurred in 42 patients. Survival analysis showed no statistical difference between ASA users and non-ASA users in incidence of PIB (P = 0.900). Multivariate Cox analysis demonstrated current smoker (hazard ratio [HR], 2.50, 95%CI, 1.33-4.71, P = 0.005), dyslipidemia (HR = 3.03; 95%CI, 1.31-6.99; P = 0.010) and pre-hemorrhagic antiplatelet therapy (HR = 3.05; 95% CI, 1.64-5.68; P < 0.001) were associated with PIB. Subgroup analysis manifested no significant difference in incidence of PIB between ASA users and non-ASA users after controlling the effect from factors of PIB (i.e., sex, age, current smoker, regular drinker, dyslipidemia, pre-hemorrhagic antiplatelet therapy and hematoma location). This study revealed that early ASA administration to SICH patients after surgery was not related to increased risk of PIB.

Predictive value of Caprini risk assessment model, D-dimer, and fibrinogen levels on lower extremity deep vein thrombosis in patients with spontaneous intracerebral hemorrhage.

Introduction: Research indicates that individuals experiencing hemorrhagic stroke face a greater likelihood of developing lower extremity deep vein thrombosis (DVT) compared to those with ischemic stroke. This study aimed to assess the predictive capacity of the Caprini risk assessment model (RAM), D-dimer (D-D) levels, and fibrinogen (FIB) levels for lower extremity DVT in patients with spontaneous intracerebral hemorrhage (sICH). Methodology: This study involved a retrospective analysis of medical records from all sICH patients admitted to Shanghai General Hospital between June 2020 and June 2023. Within 48 h of admission, patients underwent routine screening via color Doppler ultrasonography (CDUS). Patients were categorized into the DVT and control groups based on the occurrence of lower extremity DVT during hospitalization. Differences in Caprini RAM, D-dimer, and FIB levels between the two groups were compared. The sensitivity and specificity of combined Caprini RAM, peripheral blood D-dimer, and FIB levels in predicting lower extremity DVT in sICH patients were analyzed. Receiver operating characteristic (ROC) curves assessed the overall predictive accuracy of Caprini RAM, D-D, and FIB levels. Results: The study involving 842 sICH patients revealed 225 patients with DVT and 617 patients without DVT. Caprini RAM, D-D, and FIB levels were significantly higher in the DVT group compared to the control group (P < 0.05). Sensitivity values for Caprini RAM, D-D, and FIB levels in predicting lower extremity DVT in sICH patients were 0.920, 0.893, and 0.680, respectively, while specificities were 0.840, 0.680, and 0.747, respectively. The ROC curve analysis demonstrated an area under the curve (AUC) of 0.947 for combined DVT prediction, with 97.33% sensitivity and 92.00% specificity, indicating superior predictive value compared to individual applications of Caprini RAM, D-D, and FIB levels. Conclusion: The combined utilization of Caprini RAM, D-D, and FIB levels holds significant clinical relevance in predicting lower extremity DVT in sICH patients.

Machine learning for the prediction of in-hospital mortality in patients with spontaneous intracerebral hemorrhage in intensive care unit.

This study aimed to develop a machine learning (ML)-based tool for early and accurate prediction of in-hospital mortality risk in patients with spontaneous intracerebral hemorrhage (sICH) in the intensive care unit (ICU). We did a retrospective study in our study and identified cases of sICH from the MIMIC IV (n = 1486) and Zhejiang Hospital databases (n = 110). The model was constructed using features selected through LASSO regression. Among five well-known models, the selection of the best model was based on the area under the curve (AUC) in the validation cohort. We further analyzed calibration and decision curves to assess prediction results and visualized the impact of each variable on the model through SHapley Additive exPlanations. To facilitate accessibility, we also created a visual online calculation page for the model. The XGBoost exhibited high accuracy in both internal validation (AUC = 0.907) and external validation (AUC = 0.787) sets. Calibration curve and decision curve analyses showed that the model had no significant bias as well as being useful for supporting clinical decisions. XGBoost is an effective algorithm for predicting in-hospital mortality in patients with sICH, indicating its potential significance in the development of early warning systems.

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

BACKGROUND: Spontaneous 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. METHODS: A 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. RESULTS: From 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. CONCLUSIONS: Within 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.

Early Celecoxib Use in Spontaneous Intracerebral Hemorrhage is Associated with Reduced Mortality.

BACKGROUND: Hemorrhagic strokes constitute 10-15% of all strokes and have the worst mortality and morbidity of all subtypes. Mortality and morbidity of spontaneous intracerebral hemorrhage (sICH) are often secondary to the effects of inflammation, brain edema, and swelling. Studies have shown that celecoxib, a selective cyclooxygenase 2 (COX-2) inhibitor, reduces perihematomal edema formation and inflammation. This study aimed to examine the impact of celecoxib on sICH outcomes. METHODS: TriNetX, a multi-institutional research database, was retrospectively queried to identify patients with sICH. Outcomes in patients who received celecoxib within 5 days (cohort 1) were analyzed and compared to those in patients who did not receive celecoxib (cohort 2). The primary end point was mortality within 1 year of sICH. Secondary end points included ventilator dependence, tracheostomy, percutaneous endoscopic gastrostomy tube placement, craniotomy, deep venous thrombosis, pulmonary embolism, ischemic stroke, transient ischemia attack, myocardial infarction, and seizures. Further analysis was performed to assess these outcomes for patients treated with ibuprofen, a nonselective COX inhibitor. RESULTS: After propensity score matching, 833 patients were identified in each cohort based on celecoxib use. Mortality at 1 year was significantly reduced in patients with sICH receiving celecoxib compared to those who did not (13.33% vs. 17.77%; p = 0.0124). Risks of ventilator dependence, tracheostomy, percutaneous endoscopic gastrostomy tube placement, craniotomy, deep venous thrombosis, pulmonary embolism, ischemic stroke, transient ischemia attack, myocardial infarction, and seizures were not significantly increased in patients who received celecoxib within 5 days of sICH compared to those who did not receive celecoxib. There was no significant difference in mortality between patients based on ibuprofen administration. CONCLUSIONS: There exists a growing interest in using COX-2 as a potential target strategy for neuroprotection in patients with sICH, with some evidence of a mortality benefit in small cohort studies. This study shows that early celecoxib use is associated with decreased mortality in patients with sICH.

Thiazolidinediones Decrease the Recurrence of Intracerebral Hemorrhage in Type 2 Diabetes Mellitus Patients: A Nested Case-Control Study.

INTRODUCTION: Preclinical evidence demonstrated the therapeutic potential of thiazolidinediones (TZDs) for the treatment of intracerebral hemorrhage (ICH). The present study conducted an investigation of cerebrovascular and cardiovascular outcomes following ICH in patients with type 2 diabetes mellitus (T2DM) treated with or without TZDs. METHODS: This retrospective nested case-control study used data from the Taiwan National Health Insurance Research Database. A total of 62,515 T2DM patients who were hospitalized with a diagnosis of ICH were enrolled, including 7,603 TZD users. Data for TZD non-users were extracted using propensity score matching. Primary outcomes included death and major adverse cardiovascular events (MACEs), which were defined as a composite of ischemic stroke, hemorrhagic stroke (HS), acute myocardial infarction, and congestive heart failure. Patients aged <20 years with a history of traumatic brain injury or any prior history of MACEs were excluded. RESULTS: TZD users had significantly lower MACE risks compared with TZD non-users following ICH (adjusted hazard ratio [aHR]: 0.90, 95% confidence interval [CI]: 0.85-0.94, p < 0.001). The most significant MACE difference reported for TZD users was HS, which possessed lower incidence than in TZD non-users, especially for the events that happened within 3 months following ICH (aHR: 0.74, 95% CI: 0.62-0.89 within 1 month, p < 0.01; aHR: 0.68, 95% CI: 0.54-0.85 between 1 and 3 month). CONCLUSION: The use of TZD in patients with T2DM was associated with a lower risk of subsequent HS and mortality following ICH.

Association between white blood cells and ultra-early hematoma growth in patients with spontaneous intracerebral hemorrhage.

Background: Ultra-early inflammatory reaction after spontaneous intracerebral hemorrhage (sICH) plays an important role in the coagulation process and is closely related to early hematoma expansion. However, the relationship between ultra-early hematoma growth (uHG) and ultra-early inflammatory reaction remains unknown. Objective: To evaluate the association between ultra-early inflammatory indicators and uHG in patients with sICH. Methods: We retrospectively included 225 patients with acute sICH who were divided into the uHG ≤4.7 ml/h group and the uHG >4.7 ml/h group, respectively. The uHG was defined as hematoma volume (milliliter) at the primary computed tomography (CT) scan divided by time (hour) from onset to the performance of primary CT within 6 h after onset. The white blood cells (WBC), blood hypersensitive C-reactive protein, National Institutes of Health Stroke Scale (NIHSS) score and other related baseline data were collected and compared between the two groups. The multivariate regression analysis and receiver operating characteristic (ROC) curve were used to evaluate the independent risk factors for uHG >4.7 ml/h. Results: NIHSS score and WBC were independent risk factors for uHG in patients with acute sICH (OR 1.188, 95% CI: 1.111-1.271, p < 0.001; OR 1.151, 95% CI: 1.018-1.300, p = 0.024; respectively). The area under curve of ROC for WBC and NIHSS score was 0.658 and 0.754, respectively (all p < 0.001), while the WBC combined with NIHSS score was 0.773 (p < 0.001). Conclusion: WBC count within 6h after onset might be an independent risk factor for the increase of uHG in patients with sICH.

Mortality, Functional Status, and Quality of Life after 5 Years of Patients Admitted to Critical Care for Spontaneous Intracerebral Hemorrhage.

BACKGROUND: The objective of this study was to assess long-term outcome in patients with spontaneous intracerebral hemorrhage admitted to the intensive care unit. METHODS: Mortality and Glasgow Outcome Scale, Barthel Index, and 5-level EQ-5D version (EQ-5D-5L) scores were analyzed in a multicenter cohort study of three Spanish hospitals (336 patients). Mortality was also analyzed in the Medical Information Mart for Intensive Care III (MIMIC-III) database. RESULTS: The median (25th percentile-75th percentile) age was 62 (50-70) years, the median Glasgow Coma Score was 7 (4-11) points, and the median Acute Physiology and Chronic Health disease Classification System II (APACHE-II) score was 21 (15-26) points. Hospital mortality was 54.17%, mortality at 90 days was 56%, mortality at 1 year was 59.2%, and mortality at 5 years was 66.4%. In the Glasgow Outcome Scale, a normal or disabled self-sufficient situation was recorded in 21.5% of patients at 6 months, in 25.5% of patients after 1 year, and in 22.1% of patients after 5 years of follow-up (4.5% missing). The Barthel Index score of survivors improved over time: 50 (25-80) points at 6 months, 70 (35-95) points at 1 year, and 90 (40-100) points at 5 years (p < 0.001). Quality of life evaluated with the EQ-5D-5L at 1 year and 5 years indicated that greater than 50% of patients had no problems or slight problems in all items (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression). In the MIMIC-III study (N = 1354), hospital mortality was 31.83% and was 40.5% at 90 days and 56.2% after 5 years. CONCLUSIONS: In patients admitted to the intensive care unit with a diagnosis of nontraumatic intracerebral hemorrhage, hospital mortality up to 90 days after admission is very high. Between 90 days and 5 years after admission, mortality is not high. A large percentage of survivors presented a significant deficit in quality of life and functional status, although with progressive improvement over time. Five years after the hemorrhagic stroke, a survival of 30% was observed, with a good functional status seen in 20% of patients who had been admitted to the hospital.

Evaluating the learning curve of endoscopic surgery for spontaneous intracerebral hemorrhage: A single-center experience in a county hospital.

BACKGROUND: Endoscopic surgery has shown promise in treating Spontaneous Intracerebral Hemorrhage (sICH), but its adoption in county-level hospitals has been hindered by the high level of surgical expertise required. METHODS: In this retrospective study at a county hospital, we utilized a Cumulative Sum (CUSUM) control chart to visualize the learning curve for two neurosurgeons. We compared patient outcomes in the learning and proficient phases, and compared them with expected outcomes based on ICH score and ICH functional outcome score, respectively. RESULTS: The learning curve peaked at the 12th case for NS1 and the 8th case for NS2, signifying the transition to the proficient stage. This stage saw reductions in operation time, blood loss, rates of evacuation < 90 %, rebleeding rates, intensive care unit stay, hospital stay, and overall costs for both neurosurgeons. In the learning stage, 6 deaths occurred within 30 days, less than the 10.66 predicted by the ICH score. In the proficient stage, 3 deaths occurred, less than the 15.88 predicted. In intermediate and high-risk patients by the ICH functional outcome score, the proficient stage had fewer patients with an mRS ≥ 3 at three months than the learning stage (23.8 % vs. 69.2 %, P = 0.024; 40 % vs. 80 %, P = 0.360). Micromanipulating bipolar precision hemostasis and aspiration devices in the endoport's channels sped up the transition from learning to proficient. CONCLUSION: The data shows a learning curve, with better surgical outcomes as surgeons gain proficiency. This suggests cost benefits of surgical proficiency and the need for ongoing surgical education and training in county hospitals.

Association of plasma sphingosine-1-phosphate levels with disease severity and prognosis after intracerebral hemorrhage.

Purpose: Sphingosine-1-phosphate (S1P) is a signaling lipid involved in many biological processes, including inflammatory and immune regulatory responses. The study aimed to determine whether admission S1P levels are associated with disease severity and prognosis after spontaneous intracerebral hemorrhage (ICH). Methods: Data of 134 patients with spontaneous ICH and 120 healthy controls were obtained from Biological Resource Sample Database of Intracerebral Hemorrhage at the First Affiliated Hospital of Zhengzhou University. Plasma S1P levels were measured. Regression analyses were used to analyze the association between S1P levels and admission and 90-day modified Rankin scale (mRS) scores. Receiver operating characteristic (ROC) curves assessed the predictive value of S1P levels for ICH severity and prognosis. Results: Patients with ICH exhibited elevated plasma S1P levels compared to the control group (median 286.95 vs. 239.80 ng/mL, p < 0.001). When divided patients into mild-to-moderate and severe groups according to their mRS scores both at admission and discharge, S1P levels were significantly elevated in the severe group compared to the mild-to-moderate group (admission 259.30 vs. 300.54, p < 0.001; 90-day 275.24 vs. 303.25, p < 0.001). The patients were divided into three groups with different concentration gradients, which showed significant statistical differences in admission mRS scores (3 vs. 4 vs. 5, p < 0.001), 90-day mRS scores (2.5 vs. 3 vs. 4, p < 0.001), consciousness disorders (45.5% vs. 68.2% vs. 69.6%, p = 0.033), ICU admission (29.5% vs. 59.1% vs. 89.1%, p < 0.001), surgery (15.9% vs. 47.7% vs. 82.6%, p < 0.001), intraventricular hemorrhages (27.3% vs. 61.4% vs. 65.2%, p < 0.001) and pulmonary infection (25% vs. 47.7% vs. 84.8%, p < 0.001). Multivariate analysis displayed that S1P level was an independent risk factor for disease severity (OR = 1.037, 95% CI = 1.020-1.054, p < 0.001) and prognosis (OR = 1.018, 95% CI = 1.006-1.030, p = 0.003). ROC curves revealed a predictive value of S1P levels with an area under the curve of 0.7952 (95% CI = 0.7144-0.8759, p < 0.001) for disease severity and 0.7105 (95% CI = 0.6227-0.7983, p < 0.001) for prognosis. Conclusion: Higher admission S1P is associated with worse initial disease severity and 90-day functional outcomes in intracerebral hemorrhage.

Risk factors for unfavorable outcome after spontaneous intracerebral hemorrhage in elderly patients.

BACKGROUND: Spontaneous intracerebral hemorrhage (SICH) of the elderly is a devastating form of stroke with a high morbidity and economic burden. There is still a limited understanding of the risk factors for an unfavorable outcome where a surgical therapy may be less meaningful. Thus, the aim of this study is to identify factors associated with unfavorable outcome and time to death in surgically treated elderly patients with SICH. METHODS: We performed a single-center retrospective study of 70 patients (age > 60 years) with SICH operated between 2008 and 2020. Functional outcome was assessed by modified Rankin Scale. Various clinical and neuroradiological variables including type of neurosurgical treatment, anatomical location of hemorrhage, volumetry and distribution of hemorrhage were assessed. Univariate and multivariate logistic regression models were performed. Length of stay (LOS) and hospital costs are presented. RESULTS: The overall mortality (mean follow-up time of 22 months) in this study was 32/70 patients (45.71%), 30-days mortality was 8/70 (11.42%), and 12-months mortality was 22/70 (31.43%). Average LOS was 73.5 days with a median of 58, 766 € estimated in hospital costs per patient. Multivariate analysis for 12-months mortality was significant for intraventricular hemorrhage (IVH) (p = 0.007, HR = 1.021, 95% CI = 1.006 - 1.037). ROC analysis for 12-months mortality for IVH volume >= 7 cm3 presented an are under the curve of 0.658. CONCLUSIONS: We identified IVH volume > 7 cm3 as an independent prognostic risk factor for mortality in elderly patients after SICH. This may help clinicians in decision-making for this critical and growing subgroup of patients.

Development and validation of a machine learning-based predictive model for assessing the 90-day prognostic outcome of patients with spontaneous intracerebral hemorrhage.

BACKGROUND: Spontaneous intracerebral hemorrhage (sICH) is associated with significant mortality and morbidity. Predicting the prognosis of patients with sICH remains an important issue, which significantly affects treatment decisions. Utilizing readily available clinical parameters to anticipate the unfavorable prognosis of sICH patients holds notable clinical significance. This study employs five machine learning algorithms to establish a practical platform for the prediction of short-term prognostic outcomes in individuals afflicted with sICH. METHODS: Within the framework of this retrospective analysis, the model underwent training utilizing data gleaned from 413 cases from the training center, with subsequent validation employing data from external validation center. Comprehensive clinical information, laboratory analysis results, and imaging features pertaining to sICH patients were harnessed as training features for machine learning. We developed and validated the model efficacy using all the selected features of the patients using five models: Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), XGboost and LightGBM, respectively. The process of Recursive Feature Elimination (RFE) was executed for optimal feature screening. An internal five-fold cross-validation was employed to pinpoint the most suitable hyperparameters for the model, while an external five-fold cross-validation was implemented to discern the machine learning model demonstrating the superior average performance. Finally, the machine learning model with the best average performance is selected as our final model while using it for external validation. Evaluation of the machine learning model's performance was comprehensively conducted through the utilization of the ROC curve, accuracy, and other relevant indicators. The SHAP diagram was utilized to elucidate the variable importance within the model, culminating in the amalgamation of the above metrics to discern the most succinct features and establish a practical prognostic prediction platform. RESULTS: A total of 413 patients with sICH patients were collected in the training center, of which 180 were patients with poor prognosis. A total of 74 patients with sICH were collected in the external validation center, of which 26 were patients with poor prognosis. Within the training set, the test set AUC values for SVM, LR, RF, XGBoost, and LightGBM models were recorded as 0.87, 0.896, 0.916, 0.885, and 0.912, respectively. The best average performance of the machine learning models in the training set was the RF model (average AUC: 0.906 ± 0.029, P < 0.01). The model still maintains a good performance in the external validation center, with an AUC of 0.817 (95% CI 0.705-0.928). Pertaining to feature importance for short-term prognostic attributes of sICH patients, the NIHSS score reigned supreme, succeeded by AST, Age, white blood cell, and hematoma volume, among others. In culmination, guided by the RF model's variable importance weight and the model's ROC curve insights, the NIHSS score, AST, Age, white blood cell, and hematoma volume were integrated to forge a short-term prognostic prediction platform tailored for sICH patients. CONCLUSION: We constructed a prediction model based on the results of the RF model incorporating five clinically accessible predictors with reliable predictive efficacy for the short-term prognosis of sICH patients. Meanwhile, the performance of the external validation set was also more stable, which can be used for accurate prediction of short-term prognosis of sICH patients.

PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage.

BACKGROUND AND OBJECTIVE: Intracerebral hemorrhage is one of the diseases with the highest mortality and poorest prognosis worldwide. Spontaneous intracerebral hemorrhage (SICH) typically presents acutely, prompt and expedited radiological examination is crucial for diagnosis, localization, and quantification of the hemorrhage. Early detection and accurate segmentation of perihematomal edema (PHE) play a critical role in guiding appropriate clinical intervention and enhancing patient prognosis. However, the progress and assessment of computer-aided diagnostic methods for PHE segmentation and detection face challenges due to the scarcity of publicly accessible brain CT image datasets. METHODS: This study establishes a publicly available CT dataset named PHE-SICH-CT-IDS for perihematomal edema in spontaneous intracerebral hemorrhage. The dataset comprises 120 brain CT scans and 7,022 CT images, along with corresponding medical information of the patients. To demonstrate its effectiveness, classical algorithms for semantic segmentation, object detection, and radiomic feature extraction are evaluated. The experimental results confirm the suitability of PHE-SICH-CT-IDS for assessing the performance of segmentation, detection and radiomic feature extraction methods. RESULTS: This study conducts numerous experiments using classical machine learning and deep learning methods, demonstrating the differences in various segmentation and detection methods on the PHE-SICH-CT-IDS. The highest precision achieved in semantic segmentation is 76.31%, while object detection attains a maximum precision of 97.62%. The experimental results on radiomic feature extraction and analysis prove the suitability of PHE-SICH-CT-IDS for evaluating image features and highlight the predictive value of these features for the prognosis of SICH patients. CONCLUSION: To the best of our knowledge, this is the first publicly available dataset for PHE in SICH, comprising various data formats suitable for applications across diverse medical scenarios. We believe that PHE-SICH-CT-IDS will allure researchers to explore novel algorithms, providing valuable support for clinicians and patients in the clinical setting. PHE-SICH-CT-IDS is freely published for non-commercial purpose at https://figshare.com/articles/dataset/PHE-SICH-CT-IDS/23957937.

Research on predicting hematoma expansion in spontaneous intracerebral hemorrhage based on deep features of the VGG-19 network.

PURPOSE: To construct a clinical noncontrastive computed tomography (NCCT) deep learning joint model for predicting early hematoma expansion (HE) after cerebral hemorrhage (sICH) and evaluate its predictive performance. METHODS: All 254 patients with primary cerebral hemorrhage from January 2017 to December 2022 in the General Hospital of the Western Theater Command were included. According to the criteria of hematoma enlargement exceeding 33% or the volume exceeding 6 ml, the patients were divided into the HE group and the hematoma non-enlargement (NHE) group. Multiple models and the 10-fold cross-validation method were used to screen the most valuable features and model the probability of predicting HE. The area under the curve (AUC) was used to analyze the prediction efficiency of each model for HE. RESULTS: They were randomly divided into a training set of 204 cases in an 8:2 ratio and 50 cases of the test set. The clinical imaging deep feature joint model (22 features) predicted the area under the curve of HE as follows: clinical Navie Bayes model AUC 0.779, traditional radiology logistic regression (LR) model AUC 0.818, deep learning LR model AUC 0.873, and clinical NCCT deep learning multilayer perceptron model AUC 0.921. CONCLUSION: The combined clinical imaging deep learning model has a high predictive effect for early HE in sICH patients, which is helpful for clinical individualized assessment of the risk of early HE in sICH patients.

Independent Factors Associated with 30-Day In-Hospital Mortality from Acute Spontaneous Intracerebral Hemorrhage.

OBJECTIVE: This study aims to investigate independent factors associated with 30-day mortality in patients with acute spontaneous intracerebral hemorrhage (SICH) before treatment. METHODS: A retrospective analysis was performed on medical records of patients hospitalized with acute SICH between 2019 and 2021. Data included personal history, hospital stay duration, symptom onset, chief complaint, underlying diseases, medication, and alcohol/smoking habits. Physical examination records comprised baseline blood pressure, Glasgow Coma Scale assessment, and pupil reaction evaluation. Diagnostic imaging, specifically computed tomography brain scans, was examined for hemorrhage details. Multivariable logistic analysis was utilized for data analysis. RESULTS: Among 663 cases, 185 (27.9%) experienced mortality. Risk factors for mortality included chronic kidney disease, ischemic heart disease, loss of follow-up in hypertension clinic, and pontine hemorrhage. Conversely, motor response (m), reactive pupils, and basal cistern persistence significantly decreased the risk of mortality in multivariable analysis. Receiver operating characteristic analysis identified a m score of 5 as the cutoff for predicting survival. CONCLUSIONS: Chronic kidney disease, ischemic heart disease, loss of hypertension follow-up, m, reactive pupils, pontine hemorrhage, and basal cistern persistence were independent variables associated with the 30-day mortality rate in SICH patients before treatment initiation. A m, pupil reaction, and basal cistern persistence serve as predictive tools for assessing mortality in SICH before treatment.

Endoscopic Surgery Versus Stereotactic Aspiration in Spontaneous Intracerebral Hemorrhage Treatment: A Systematic Review and Meta-Analysis.

OBJECTIVE: To comprehensively compare the safety and efficacy of endoscopic surgery (ES) and stereotactic aspiration (SA) in patients with spontaneous intracerebral hemorrhage (sICH). METHODS: We searched Web of Science, PubMed, Embase, and the Cochrane Central Register of Controlled Trials from inception to July 31, 2023. Studies comparing ES and SA for sICH treatment were also included. Outcome measures included primary outcomes (mortality and good functional outcome [GFO]) and secondary outcomes (evacuation rate, residual hematoma, perihematomal edema (PHE), operation time, volume of intraoperative blood loss, hospital stay duration, intensive care unit stay duration, hospital cost, complications, and reoperation). Subgroup analyses assessed the influence of age, hematoma volume, Glasgow Coma Scale score, and time to surgery on the outcomes. RESULTS: Nine studies (1 randomized controlled trial and 8 observational studies) with 2105 patients (705 and 1400 in the ES and SA groups, respectively) were included in this meta-analysis. The final analysis indicated that compared with SA, ES was associated with enhanced GFO and a higher evacuation rate 1 day post-surgery along with reduced mortality and residual hematoma. Conversely, ES did not confer benefits in terms of perihematomal edema, operation time, intraoperative blood loss volume, or hospital stay duration compared with SA. Subgroup analysis highlighted the significant influences of age and hematoma volume on mortality, whereas hematoma volume and Glasgow Coma Scale score affected GFO. CONCLUSIONS: ES is a safe and effective approach for sICH treatment, leading to improved patient prognosis and quality of life compared to SA.