Prediction of Long-Term Outcome After Intracerebral Hemorrhage Surgery

Important Factors to Expect the Outcome After Intracerebral Hemorrhage: An Observational Study From a University Hospital in Saudi Arabia

BACKGROUND

Intracerebral hemorrhage (ICH) has worse clinical outcomes than other stroke types. The risk factors contributing to ICH outcomes are not entirely understood, and published literature from Saudi Arabia on ICH outcomes is limited. Our goal was to study the specific clinical and imaging determinants of ICH outcomes.

METHODS

We retrospectively retrieved all patients with spontaneous ICH (SICH) from a prospective King Fahd Hospital University registry between 2017 and 2019. The clinical characteristics of ICH events and data on clinical outcomes (6 to 12 mo) were recorded. Groups of patients with a favorable modified Rankin Scale of 0 to 2 and nonfavorable outcomes of a modified Rankin Scale of 3 to 6 were investigated. The relationship between the clinical characteristics of the SICH event and its outcomes was assessed using linear and logistic regression analyses.

RESULTS

A total of 148 patients with a mean age of 60.3 years (±15.2) and a median follow-up of 9 months were included. Unfavorable outcomes were reported in 98 patients (66.2%). The ICH event variables associated with unfavorable outcomes were impaired renal function, Glasgow Coma Score <8, hematoma volume, hematoma expansion, and intraventricular extension (IVE).

CONCLUSIONS

Our study demonstrated important clinical and radiologic features in patients with ICH that may affect their clinical long-term functional outcomes. A larger multicenter study is required to validate our results and evaluate the methods to improve health care in patients with SICH.

Outcome Prediction of Spontaneous Supratentorial Intracerebral Hemorrhage after Surgical Treatment Based on Non-Contrast Computed Tomography: A Multicenter Study

This study aims to explore the value of a machine learning (ML) model based on radiomics features and clinical features in predicting the outcome of spontaneous supratentorial intracerebral hemorrhage (sICH) 90 days after surgery. A total of 348 patients with sICH underwent craniotomy evacuation of hematoma from three medical centers. One hundred and eight radiomics features were extracted from sICH lesions on baseline CT. Radiomics features were screened using 12 feature selection algorithms. Clinical features included age, gender, admission Glasgow Coma Scale (GCS), intraventricular hemorrhage (IVH), midline shift (MLS), and deep ICH. Nine ML models were constructed based on clinical feature, and clinical features + radiomics features, respectively. Grid search was performed on different combinations of feature selection and ML model for parameter tuning. The averaged receiver operating characteristics (ROC) area under curve (AUC) was calculated and the model with the largest AUC was selected. It was then tested using multicenter data. The combination of lasso regression feature selection and logistic regression model based on clinical features + radiomics features had the best performance (AUC: 0.87). The best model predicted an AUC of 0.85 (95%CI, 0.75-0.94) on the internal test set and 0.81 (95%CI, 0.64-0.99) and 0.83 (95%CI, 0.68-0.97) on the two external test sets, respectively. Twenty-two radiomics features were selected by lasso regression. The second-order feature gray level non-uniformity normalized was the most important radiomics feature. Age is the feature with the greatest contribution to prediction. The combination of clinical features and radiomics features using logistic regression models can improve the outcome prediction of patients with sICH 90 days after surgery.

Long-Term Functional Outcome and Quality of Life After Surgical Evacuation of Spontaneous Supratentorial Intracerebral Hemorrhage: Results from a Swedish Nationwide Cohort

OBJECTIVE

To investigate long-term survival, neurologic outcome, and quality of life in patients with spontaneous supratentorial intracerebral hemorrhage (ICH) treated with craniotomy and hematoma evacuation.

METHODS

A nationwide multicenter retrospective analysis of 341 patients who underwent craniotomy and evacuation of supratentorial ICH between January 1, 2011, and December 31, 2015, was performed. Baseline characteristics associated with 6-month mortality and long-term mortality were investigated. Survivors received a questionnaire about their state of health from which EuroQol 5D (EQ-5D) and modified Rankin scale (mRS) were obtained. Predictors of mortality, unfavorable outcome, and life quality were analyzed.

RESULTS

The mean follow-up time was 55.2 months. Predictors of 6-month mortality in multiple regression analysis were age ≥75 years, previous myocardial infarction, lower level of consciousness, and mechanical ventilation. Predictors of long-term mortality were higher age and mechanical ventilation. At follow-up, 49.5% of survivors had a favorable neurologic outcome (mRS ≤3). Predictors of an unfavorable functional outcome were higher age and ICH volume ≥50 mL. The mean EQ-5D health index was 0.719, and the mean EQ-5D visual analog scale score was 53.9. In multiple regression, only a higher mRS score was significantly associated with worse life quality.

CONCLUSIONS

Knowledge about survival, functional outcome, and life quality as well as their predictors in this specific patient group is previously primarily described in short-term follow-up. This multicenter study provides novel information in the long-term perspective, which is important for improved surgical decision-making and prognostication.

Risk factors for poor outcomes of spontaneous supratentorial cerebral hemorrhage after surgery

OBJECTIVE

This study aimed to explore the factors affecting the outcomes of spontaneous supratentorial cerebral hemorrhage 90 days after surgery.

METHODS

A total of 256 patients with spontaneous supratentorial intracerebral hemorrhage underwent craniotomy evacuation of hematoma. The control group included 120 patients who received conservative treatment. The patients were divided into two subgroups based on a bifurcation of the modified Rankin Scale (mRS) 90 days after clinical therapeutics: good outcome (mRS score 0-3) and poor outcome (mRS score 4-6). The differences in clinical and imaging data between the two subgroups were analyzed. Based on difference analysis results, a binary logistic regression model was constructed to analyze the influencing factors related to poor outcomes.

RESULTS

The difference analysis results in the surgery group showed statistically significant differences in age, sex, Glasgow Coma Score (GCS) on admission, coronary atherosclerosis, smoking, stroke history, blood glucose, D-dimer, hematoma size, deep cerebral hemorrhage, midline shift, hematoma burst into the ventricle, vortex sign, island sign, and black hole sign. Binary logistic regression analysis showed that deep cerebral hemorrhage, midline shift, and age > 58 years independently correlated with the poor outcomes of patients after surgery. The binary logistic regression results of the control group showed that age > 58 years and GCS ≤ 8 independently correlated with the poor outcomes of patients.

CONCLUSIONS

Deep cerebral hemorrhage, midline shift, and age > 58 years significantly increased the risk of adverse prognosis in patients after surgery. The findings might help select the clinical treatment plan and evaluate the postoperative prognosis of patients.

Risk Factors for Postoperative Rebleeding and Short-Term Prognosis of Spontaneous Cerebellar Hemorrhage

Purpose

Postoperative rebleeding (PRB) is one of the most severe complications after hematoma evacuation of spontaneous intracerebral hemorrhage (ICH). PRB has been proven to be an independent risk factor for poor prognosis. Previous studies have shown that spot sign and blend sign are independent risk factors for PRB of spontaneous ICH. However, the risk factors for PRB of spontaneous cerebellar hemorrhage (SCH) have not been elucidated. The aim of the present study was to investigate the possible risk factors for PRB and short-term prognosis of patients with SCH.

Patients and Methods

This study identified 62 patients with SCH who underwent hematoma evacuation in our department. Risk factors for PRB and short-term prognosis were identified by a univariable logistic regression model, and predictors with a P value of less than 0.05 were included in the multivariable logistic regression model to identify independent predictors. A receiver operating characteristic (ROC) curve was created to test the sensitivity and specificity of independent risk factors.

Results

Hematoma volume was the only independent predictor of PRB (OR=15.14, 95% CI=1.08–213.1, P=0.044). The sensitivity and specificity of hematoma volume to PRB were 63.6% and 89.7%, respectively, and the cutoff value of hematoma volume was >29.3 mL. GCS score ≤8 (OR=5.131, 95% CI=1.030–25.554, P=0.046) and PRB (OR=13.17, 95% CI=1.316–131.798, P=0.028) were independent risk factors for poor prognosis of patients with SCH. The sensitivity and specificity of the GCS score to poor prognosis were 66.7% and 86.2%, respectively. The sensitivity and specificity of the PRB to poor prognosis were 36.4% and 96.6%, respectively.

Conclusion

Hematoma volume is likely to be a strong predictor of PRB among patients with SCH. GCS scores ≤8 on arrival and PRB were significant predictors of short-term poor outcome.

Clinical Profile and Predictors of Outcome in Spontaneous Intracerebral Hemorrhage from a Tertiary Care Centre in South India

Background. This article attempts to evaluate the clinical profile and outcome determinants following hypertensive SICH in a South Indian population. The study represents the largest series of SICH reported from a single centre in India. Materials and Methods. Prospective data collection and analysis of patients with SICH admitted to our centre between 1st January 2015 and 31st December 2018. The variables analysed include: age, sex, comorbidities, Glasgow coma score (GCS) on admission, radiological features, treatment modality, and outcome at three months. Modified Rankin score (mRS) was used to assess the outcome at discharge and three months. Results. Our study group of 905 patients included 638 males and 267 females and the mean age at presentation was 58.10 ± 12.76 years. The study group included 523 patients (57.8%) previously diagnosed hypertensive, of whom 36.3% (n = 190) were on irregular medication. The most frequent locations of hematoma were basal ganglia (478), thalamus (202), lobar (106), cerebellar (61), brainstem (31), and primary intraventricular haemorrhage (27). Secondary intraventricular extension was seen in 425 (47%) patients on admission. The mean volume of the clot on admission was 23.45 ± 19.79 ml, and clot progression was seen in only 46 (5.08%) cases. Surgical evacuation through craniotomy was done in 147 (16.8%) patients, and external ventricular drainage (EVD) was placed in 56 (6.2%) patients. Overall 3-month mortality was 30.1% (266 patients). On the last follow up a favorable outcome (mRS 0-3) was observed in 412 (45.53%) patients and a poor outcome (mRS 4-5) in 207 patients (22.87%). Independent predictors of mortality are Age >70 (p = <0.001, OR 4.806, 95% CI 3.064-7.54), admission GCS <8 (p = <0.001, OR7.684, 95% CI 5.055#x2013;11.68), and Hematoma volume >30 ml (p = <0.001, OR 2.45, 95% CI 1.626-3.691). Intraventricular haemorrhage was an additional poor outcome predictor (p < 0.015, CI 1.105-2.585). Surgical evacuation reduced mortality in the group, but morbidity rates remained the same. Conclusions. SICH predominantly affects a younger population in India in comparison to the Western society. Elderly age, poor GCS on admission, clot volume above 30 ml and intraventricular extension remain the most consistent predictors of death and poor outcome. Further studies are needed to assess the risk of SICH among hypertensive patients and to prognosticate the outcome after SICH using novel predictors, including biomarkers.