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OBJECTIVE: The 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). METHODS: In 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. RESULTS: Serum 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. CONCLUSION: A 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.

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Objective: Recent reports have demonstrated that a wider pulse pressure upon admission is correlated with heightened in-hospital mortality following spontaneous supratentorial intracerebral hemorrhage (ssICH). However, the underlying mechanism remains ambiguous. We investigated whether a wider pulse pressure was associated with hematoma expansion (HE). Methods: Demographic information, clinical features, and functional outcomes of patients diagnosed with ssICH were retrospectively collected and analyzed. Multivariate logistic regression was conducted to identify independent predictors of HE. Weighted logistic regression, restricted cubic spline models, and propensity score matching (PSM) were employed to estimate the association between pulse pressure and HE. Results: We included 234 eligible adult ssICH patients aged 60 (51-71) years, and 55.56% were male. The mean pulse pressure was 80.94 ± 23.32 mmHg. Twenty-seven patients (11.54%) developed early HE events, and 116 (49.57%) experienced a poor outcome (modified Rankin scale 3-6). A wider mean pulse pressure as a continuous variable was a predictor of HE [odds ratios (OR) 1.026, 95% confidence interval (CI) 1.007-1.046, p = 0.008] in multivariate analysis. We transformed pulse pressure into a dichotomous variable based on its cutoff value. After adjusting for confounding of HE variables, the occurrence of HE in patients with ssICH with wider pulse pressure levels (≥98 mmHg) had 3.78 times (OR 95% CI 1.47-9.68, p = 0.006) compared to those with narrower pulse pressure levels (<98 mmHg). A linear association was observed between pulse pressure and increased HE risk (P for overall = 0.036, P for nonlinear = 0.759). After 1:1 PSM (pulse pressure ≥98 mmHg vs. pulse pressure <98 mmHg), the rates of HE events and poor outcome still had statistically significant in wider-pulse pressure group [HE, 12/51 (23.53%) vs. 4/51 [7.84%], p = 0.029; poor outcome, 34/51 (66.67%) vs. 19/51 (37.25%), p = 0.003]. Conclusion: Widened acute pulse pressure (≥98 mmHg) levels at admission are associated with increased risks of early HE and unfavorable outcomes in patients with ssICH.

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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.

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Intracerebral hemorrhage (ICH) is one of the most lethal subtypes of stroke, associated with high morbidity and mortality. Prevention of hematoma growth and perihematomal edema expansion are promising therapeutic targets currently under investigation. Despite recent improvements in the management of ICH, the ideal treatments are still to be determined. Early stratification and triage of ICH patients enable the adjustment of the standard of care in keeping with the personalized medicine principles. In recent years, research efforts have been concentrated on the development and validation of blood-based biomarkers. The benefit of looking for blood candidate markers is obvious because of their acceptance in terms of sample collection by the general population compared to any other body fluid. Given their ease of accessibility in clinical practice, blood-based biomarkers have been widely used as potential diagnostic, predictive, and prognostic markers. This review identifies some relevant and potentially promising blood biomarkers for ICH. These blood-based markers are summarized by their roles in clinical practice. Well-designed and large-scale studies are required to validate the use of all these biomarkers in the future.

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Background: Early hematoma growth is associated with poor functional outcomes in patients with intracerebral hemorrhage (ICH). We aimed to explore whether quantitative hematoma heterogeneity in non-contrast computed tomography (NCCT) can predict early hematoma growth. Methods: We used data from the Risk Stratification and Minimally Invasive Surgery in Acute Intracerebral Hemorrhage (Risa-MIS-ICH) trial. Our study included patients with ICH with a time to baseline NCCT <12 h and a follow-up CT duration <72 h. To get a Hounsfield unit histogram and the coefficient of variation (CV) of Hounsfield units (HUs), the hematoma was segmented by software using the auto-segmentation function. Quantitative hematoma heterogeneity is represented by the CV of hematoma HUs. Multivariate logistic regression was utilized to determine hematoma growth parameters. The discriminant score predictive value was assessed using the area under the ROC curve (AUC). The best cutoff was determined using ROC curves. Hematoma growth was defined as a follow-up CT hematoma volume increase of >6 mL or a hematoma volume increase of 33% compared with the baseline NCCT. Results: A total of 158 patients were enrolled in the study, of which 31 (19.6%) had hematoma growth. The multivariate logistic regression analysis revealed that time to initial baseline CT (P = 0.040, odds ratio [OR]: 0.824, 95 % confidence interval [CI]: 0.686-0.991), "heterogeneous" in the density category (P = 0.027, odds ratio [OR]: 5.950, 95 % confidence interval [CI]: 1.228-28.828), and CV of hematoma HUs (P = 0.018, OR: 1.301, 95 % CI: 1.047-1.617) were independent predictors of hematoma growth. By evaluating the receiver operating characteristic curve, the CV of hematoma HUs (AUC = 0.750) has a superior predictive value for hematoma growth than for heterogeneous density (AUC = 0.638). The CV of hematoma HUs had an 18% cutoff, with a specificity of 81.9 % and a sensitivity of 58.1 %. Conclusion: The CV of hematoma HUs can serve as a quantitative hematoma heterogeneity index that predicts hematoma growth in patients with early ICH independently.

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BACKGROUND AND PURPOSE: Optic nerve sheath diameter (ONSD) enlargement occurs in patients with intracerebral hemorrhage (ICH). However, the relationship between ONSD and prognosis of ICH is uncertain. This study aimed to investigate the predictive value of ONSD on poor outcome of patients with acute spontaneous ICH. METHODS: We studied 529 consecutive patients with acute spontaneous ICH who underwent initial CT within 6 h of symptom onset between October 2016 and February 2019. The ONSDs were measured 3 mm behind the eyeball on initial CT images. Poor outcome was defined as having a Glasgow Outcome Scale (GOS) score of 1-3, and favorable outcome was defined as having a GOS score of 4-5 at discharge. RESULTS: The ONSD of the poor outcome group was significantly greater than that of the favorable outcome group (5.87 ± 0.86 vs. 5.21 ± 0.69 mm, p < 0.001). ONSD was related to hematoma volume (r = 0.475, p < 0.001). Adjusting other meaningful predictors, ONSD (OR: 2.83; 95% CI: 1.94-4.15) was associated with poor functional outcome by multivariable logistic regression analysis. Receiver operating characteristic curve showed that the ONSD improved the accuracy of ultraearly hematoma growth in the prediction of poor outcome (AUC: 0.790 vs. 0.755, p = 0.016). The multivariable logistic regression model with all the meaningful predictors showed a better predictive performance than the model without ONSD (AUC: 0.862 vs. 0.831, p = 0.001). CONCLUSIONS: The dilated ONSD measured on initial CT indicated elevated intracranial pressure and poor outcome, so appropriate intervention should be taken in time.

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Hematoma growth (HG) affects the prognosis of patients with spontaneous intracranial hematoma (ICH), but there is still a lack of evidence about the effects of aspirin (acetylsalicylic acid, ASA) on HG in patients with severe ICH. This study retrospectively analyzed patients with severe ICH who met the inclusion and exclusion criteria in Beijing Tiantan Hospital, Capital Medical University, between January 1, 2015, and July 31, 2019. Severe ICH patients were divided into ASA group and nASA groups according to ASA usage, and the incidence of HG between the groups was compared. Univariate analysis was performed by the Mann-Whitney U test, chi-square test, or Fisher exact test. Multivariate logistic regression analysis was used to analyze the impact of ASA on HG and to screen for risk factors of HG. In total, 221 patients with severe ICH were consecutively enrolled in this study. There were 72 (32.6%) patients in the ASA group and 149 patients in the nASA group. Although the incidence of HG in the nASA group was higher than that in the ASA group (34.9% VS 22.2%, p = 0.056), ASA did not significantly affect the occurrence of HG (p = 0.285) after adjusting for initial hematoma volume, high blood pressure at admission, coronary heart disease, and GCS at admission. In addition, we found that high blood pressure at admission was a risk factor for HG. Prior ASA does not increase the incidence of HG in severe ICH patients, and high blood pressure at admission is a risk factor for HG.

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BACKGROUND: Redefined hematoma expansion (rHE) including intraventricular hematoma expansion (IVHE) is a new concept in intracerebral hemorrhage (ICH), with better prognostic ability compared to the conventional hematoma expansion. Ultraearly hematoma growth (uHG) and computed tomography angiography (CTA) spot sign are both useful indictors to predict HE and poor clinical outcome. This study aims to explore the clinical characteristics of rHE in retrospective cohort and evaluate the predictive ability of uHG and spot sign in rHE. MATERIALS AND METHODS: This study included nontraumatic spontaneous ICH patients from June 1st 2013 and January 1st 2018 in West China Hospital. Multivariate logistic regression was used to determine risk factors for HE/IVHE/rHE and primary outcomes of ICH patients. Receiver operating characteristic (ROC) analysis was performed to assess the accuracy of uHG and spot sign for predicting HE/IVHE/rHE. RESULTS: This retrospective cohort included 469 consecutive patients with ICH. rHE was significantly associated with clinical variables including Glasgow coma scale (GCS), time to initial CT, presence of IVH, hematoma volume, presence of spot sign, and uHG. uHG and spot sign were independent risk factors for rHE. ROC analysis indicated that both uHG (AUC 0.726, 95%CI 0.680-0.773) and spot sign (AUC 0.735, 95%CI 0.686-0.785) possessed high predictive accuracy for rHE. HE and rHE were independent risk factors for 1-month mortality and 3-month functional outcome. CONCLUSIONS: Both uHG and the spot sign were considered to be good predictors for rHE, and the spot sign appeared to have a better predictive accuracy.

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BACKGROUND: Blend sign on initial computed tomography (CT) is associated with poor outcome in patients with intracerebral hemorrhage (ICH). However, the mechanisms underlying the blend sign formation are poorly understood. The present study aimed to explore the possible mechanism of the CT blend sign in patients with ICH. METHODS: Seventy healthy rabbits were selected to prepare an ICH model. The animals were assigned to a whole blood group + whole blood group (ww group, 50 rabbits), a whole blood + plasma group (wp group, 10 rabbits) or a whole blood + serum group (ws group, 10 rabbits). The animals of the ww group were allocated to five subgroups based on the interval between the first infusion of blood and the second one. The subgroups included ww 1 h group (with an interval of 1 h), ww 2 h group, ww 3 h group, ww 4 h group and ww 5 h group. The rabbits from each group received first infusion of 0.3 mL of whole blood into the basal ganglia area to form a hematoma. Then, they received a second infusion of the same amount of whole blood, plasma or serum into the brain to form another hematoma adjacent to the first one. RESULTS: A hematoma with two densities on brain CT could be formed in each group after a second infusion of blood into the brain. A significant difference in CT attenuation values was observed between the hyperattenuation and the hypoattenuation in all the groups. However, only the morphological features of the hematoma in the ww group was in accordance with the CT blend sign observed in humans. The CT attenuation values in the hypodensity area of the ww 4 h group or the ww 5 h group were decreased compared with the ww 1 h group to the ww 3 h group. CONCLUSIONS: The CT blend sign observed in humans might be composed of two parts of blood with different ages. The hypodense area might be blood with older age and the hyperdense area might be new bleeding.

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Aims: Although prognostic importance of ultraearly hematoma growth (uHG) in acute, non-traumatic intracerebral hemorrhage (ICH) has been established for early outcomes, longer-term clinical outcomes are lacking. We aimed to determine the association of uHG with early and 1-year clinical outcomes after acute ICH in a larger and broader range of patients. Methods: We studied 589 patients with acute (<6 h) spontaneous ICH. uHG was defined as baseline ICH volume/onset-to-imaging time (OIT) (ml/h). Multivariable logistic regression analyses were performed to determine the association of uHG with in-hospital mortality, 90-day, and 1-year poor outcome [3 ≤ modified Rankin Scale (mRS)] after ICH. Results: The median speed of uHG was 4.8 ml/h. uHG > 9.3 ml/h was independently related to in-hospital mortality [odds ratio (OR) 2.81, 95% CI 1.52-5.23], 90-day poor outcome (OR 3.34, 95% CI 1.87-5.95), and 1-year poor outcome (OR 3.59, 95% CI 2.01-6.40) after ICH. The sensitivity of uHG > 9.3 ml/h in the prediction of in-hospital mortality, 90-day poor outcome, and 1-year poor outcome was 68.8, 48.0, and 51.1%, respectively. Conclusions: Ultraearly hematoma growth was a useful predictor of in-hospital mortality, 90-day, and 1-year poor outcome after acute ICH. The combination of both uHG and baseline ICH volume could allow better selection of patients with ICH at high risk of poorest clinical outcomes for future clinical trials to improve early- and long-term clinical outcomes.

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BACKGROUND/OBJECTIVES: To propose a novel definition for hydrocephalus growth and to further describe the association between hydrocephalus growth and poor outcome among patients with intracerebral hemorrhage (ICH). METHODS: We analyzed consecutive patients who presented within 6 h after ICH ictus between July 2011 and June 2017. Follow-up CT scans were performed within 36 h after initial CT scans. The degree of hydrocephalus were evaluated by the hydrocephalus score of Diringer et al. The optimal increase of the hydrocephalus scores between initial and follow-up CT scan was estimated to define hydrocephalus growth. Poor long-term outcome was defined as a modified Rankin Scale of 4-6 at 3 months. Multivariate logistic regression analysis was performed to investigate the hydrocephalus growth for predicting 30-day mortality, 90-day mortality, and poor long-term outcome. RESULTS: A total of 321 patients with ICH were included in the study. Of 64 patients with hydrocephalus growth, 34 (53.1%) patients presented with both concurrent hematoma expansion and intraventricular hemorrhage (IVH) growth. After adjusting for potential confounding factors, hydrocephalus growth independently predicted 30-day mortality, 90-day mortality, and 90-day poor long-term outcome in multivariate logistic regression analysis. Hydrocephalus growth showed higher accuracy for predicting 30-day mortality, 90-day mortality, and poor long-term outcome than IVH growth or hematoma expansion, respectively. CONCLUSIONS: Hydrocephalus growth is defined by strongly predictive of short- or long-term mortality and poor outcome at 90 days, and might be a potential indicator for assisting clinicians for clinical decision-making.

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Intracerebral hemorrhage is one of the main causes of death and disability in adults, as a common emergency in neurology department. Hematoma expansion is related to early neurological deterioration and poor outcome in patients with intracerebral hemorrhage. Existing studies have not found effective treatment methods in reducing hematoma expansion. The effective time window of intervention should be paid attention to, and anti-expansion treatments, such as antihypertensive, hemostasis therapy and others, should be performed within the effective time window. The establishment of early emergency green channel for intracerebral hemorrhage is of great significance, to shorten the visiting time of patients with intracerebral hemorrhage and implement effective interventions for anti-hematoma within the anti-hematoma expansion treatment time window.

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Spontaneous primary intracerebral hemorrhage (ICH) is a stroke subtype associated with the highest mortality rate. High blood pressure (BP) is the most common cause of non-lobar ICH. Recent clinical trials have been inconclusive regarding the efficacy of aggressive BP lowering to improve ICH outcome. The association between high BP and ICH prognosis is rather complex and parameters other than absolute BP levels may be involved. In this regard, there is accruing evidence that BP variability (BPV) plays a major role in ICH outcome. Different BPV indices have been used to predict hematoma growth, neurological deterioration, and functional recovery. This review highlights the available evidence about the relationship between BPV and clinical outcomes among patients. We identified standard deviation (SD), residual SD, coefficient of variation, mean absolute change, average real variability, successive variation, spectral analysis using Fourier analysis, and functional successive variation (FSV) as indices to assess BPV. Most studies have demonstrated the association of BPV with ICH outcome, suggesting a need to monitor and control BP fluctuations in the routine clinical care of ICH patients. When large inter-subject variability exists, FSV is a viable alternative quantification of BPV as its computation is less sensitive to differences in the patient-specific observation schedules for BP than that of traditional indices.

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OBJECTIVE: Ultra-early hematoma growth (uHG), the black hole sign, and the blend sign are common predictors of hematoma enlargement (HE). This study aimed to develop a new diagnostic criterion for predicting HE using uHG and to compare the accuracy of uHG, the black hole sign, and the blend sign in predicting HE in patients with spontaneous intracerebral hemorrhage (sICH). METHODS: We retrospectively analyzed data of 920 patients with sICH from August 2013 to January 2018. Receiver operating characteristic curves were plotted to determine the optimal threshold values of uHG to predict HE. The effects of the black hole sign, blend sign, and uHG on HE were assessed using univariate and multivariate logistic regression models, and their prediction accuracies were analyzed using receiver operator analyses. RESULTS: The black hole sign was identified in 131 patients, the blend sign in 163 patients, and uHG >6.46 mL/h in 441 patients. Logistic analysis showed that the black hole sign, blend sign, and uHG >6.46 mL/h were independent predictors of HE. The sensitivity values of uHG >6.46 mL/h, the black hole sign, and the blend sign were 70.43%, 24.19%, and 36.56%, respectively, and specificity values were 57.77%, 88.28%, and 87.06%, respectively. uHG had the greatest area under the curve. The black hole and blend signs were more commonly found in patients with uHG >6.46 mL/h (P < 0.001). CONCLUSIONS: uHG >6.46 mL/h was the optimal predictor used for identifying patients at high risk of developing HE. A greater uHG value was associated with an increased prevalence of the black hole and blend signs.

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BACKGROUND: Noncontrast computed tomography hypodensities (HD) and ultraearly hematoma growth (uHG) are reliable markers for outcome prediction in patients with spontaneous intracerebral hemorrhage (sICH). The present study aimed to assess whether the combination of these 2 markers could improve the prognostic value for sICH. METHODS: We recruited 242 patients with sICH who had been admitted within 6 hours from the onset of symptoms. HD was assessed by 2 independent blinded readers, and uHG was calculated as baseline ICH volume/onset-to-imaging time. We divided the study population into 4 groups: uHG(L) HD(-) (uHG <6.16 mL/hour and HD negative), uHG(L) HD(+) (uHG<6.16 mL/hour and HD positive), uHG(H) HD(-) (uHG ≥6.16 mL/hour and HD negative), and uHG(H) HD(+) (uHG ≥6.16 mL/h and HD positive). The outcome at 90 days was evaluated by the modified Rankin Scale (mRS) score and was dichotomized as good (mRS score 0-3) and poor (mRS score 4-6). The association between the combined indicators and unfavorable outcome was investigated using multivariable logistic regression models. RESULTS: Patients with poor outcomes were more likely to have HD and higher uHG in univariate analysis. In multivariate logistic regression analysis, uHG(H) HD(+) had a higher risk of unfavorable outcomes compared with uHG(L) HD(-) (odds ratio [OR], 5.710; P < 0.001). In addition, the risk of unfavorable outcomes was increased in uHG(H) HD(-) (OR, 2.957, P = 0.044) and uHG(L) HD(+) (OR, 1.924; P = 0.232). The proportions of unfavorable prognoses were 32.6% in uHG(L) HD(-), 48.3% in uHG(L) HD(+), 72.2% in uHG(H) HD(-), and 87.5% in uHG(H) HD(+) (P < 0.001). CONCLUSIONS: The combination of uHG and HD improves the stratification of unfavorable prognoses in patients with sICH.

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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. ß 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.

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Significant advances in the acute treatment of patients with intracerebral hemorrhage (ICH) have been achieved in recent years. While many randomized trials have provided neutral results, important findings have been generated for the design of follow-up studies. Furthermore, a number of observational studies have been published, which in turn provide the basis for further methodologically stronger investigations. The focus is on avoidance of early bleeding progression, which can be influenced by blood pressure management and hemostasis. Furthermore, ICH surgery may experience a renaissance through minimally invasive techniques. In addition, perihemorrhagic edema and its pharmacological modulation are becoming increasingly more important. Optimal treatment of ventricular involvement is continuing to develop dynamically. Finally, long-term antithrombotic treatment has been intensely studied in observational analyses and is currently being investigated in randomized trials. This article addresses these most relevant topics in acute and long-term treatment of ICH patients and provides an overview of current debates in these areas of treatment.

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OBJECTIVE: Satellite sign (SS) and island sign (IS) are novel noncontrast computed tomography (CT) predictors of hematoma growth. The aim of this study was to compare diagnostic performance of IS and SS in predicting hematoma growth and functional outcome in patients with intracerebral hemorrhage (ICH). METHODS: The study included patients with ICH who underwent baseline CT scan within 6 hours of symptom onset and follow-up CT scan within 36 hours after initial CT between July 2012 and April 2017. Sensitivity, specificity, positive predictive value, and negative predictive value of IS and SS in predicting hematoma growth and functional outcome were assessed. Accuracy of the 2 signs in predicting hematoma growth and functional outcome was analyzed using receiver operating characteristic analysis. Association between the presence of IS and SS and ICH growth was assessed using multivariate logistic regression. RESULTS: Of 307 patients with ICH, IS was observed in 46 patients (15.0%), and SS was observed in 151 patients (49.2%). Rates of hematoma growth were 40.4% in SS+ patients, 91.3% in IS+ patients, 18.4% in SS-IS- patients, 21.1% in SS+IS- patients, 100% in SS-IS+ patients, and 90.5% in SS+IS+ patients. After adjusting for potential confounders, IS remained an independent predictor for hematoma growth and poor functional outcome. The area under the curve of IS was significantly larger than the area under the curve of SS in predicting hematoma growth (P = 0.001). CONCLUSIONS: IS seems to be an optimal shape irregularity imaging marker for predicting hematoma growth and functional outcome in patients with ICH.

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Background: A rapid and reliable method to predict significant early hematoma growth in the acute setting is of great important to better inform clinicians and researchers in their efforts to improve outcomes for patients. Methods: We established a 10-point score system to predict hematoma growth including four parameters: baseline intracerebral hemorrhage (ICH) volume > 30 mL, time to initial CT scan ≤ 3 h, island sign and black hole sign. Then, we reviewed our ICH database and assessed the predict value of the score system. Results: A total of 216 ICH patients were included. Patients with hematoma growth at 24 h had higher score than those without hematoma growth (7.6 ± 3.0 vs. 2.0 ± 2.4, p < 0.001). The optimal cut-off value of the score for predicting hematoma growth was 3 (area under curve, 0.937; 95% CI, 0.899-0.975, p < 0.001), with 95% CI of 0.896-0.965 in bootstrapping analysis. The sensitivity, specificity, positive predictive and negative predictive value of the score ≥ 3 for predicting hematoma growth were 97.8, 92.7, 90.9, and 98.3%. Conclusion: The 10-point score system could predict hematoma growth with high accuracy.

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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.

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