Intracerebral Hemorrhage Grading Scale Research Articles

CT-based deep learning model for predicting hospital discharge outcome in spontaneous intracerebral hemorrhage.

To predict the functional outcome of patients with intracerebral hemorrhage (ICH) using deep learning models based on computed tomography (CT) images. A retrospective, bi-center study of ICH patients was conducted. Firstly, a custom 3D convolutional model was built for predicting the functional outcome of ICH patients based on CT scans from randomly selected ICH patients in H training dataset collected from H hospital. Secondly, clinical data and radiological features were collected at admission and the Extreme Gradient Boosting (XGBoost) algorithm was used to establish a second model, named the XGBoost model. Finally, the Convolution model and XGBoost model were fused to build the third "Fusion model." Favorable outcome was defined as modified Rankin Scale score of 0-3 at discharge. The prognostic predictive accuracy of the three models was evaluated using an H test dataset and an external Y dataset, and compared with the performance of ICH score and ICH grading scale (ICH-GS). A total of 604 patients with ICH were included in this study, of which 450 patients were in the H training dataset, 50 patients in the H test dataset, and 104 patients in the Y dataset. In the Y dataset, the areas under the curve (AUCs) of the Convolution model, XGBoost model, and Fusion model were 0.829, 0.871, and 0.905, respectively. The Fusion model prognostic performance exceeded that of ICH score and ICH-GS (p = 0.043 and p = 0.045, respectively). Deep learning models have good accuracy for predicting functional outcome of patients with spontaneous intracerebral hemorrhage. The proposed deep learning Fusion model may assist clinicians in predicting functional outcome and developing treatment strategies, thereby improving the survival and quality of life of patients with spontaneous intracerebral hemorrhage. • Integrating clinical presentations, CT images, and radiological features to establish deep learning model for functional outcome prediction of patients with intracerebral hemorrhage. • Deep learning applied to CT images provides great help in prognosing functional outcome of intracerebral hemorrhage patients. • The developed deep learning model performs better than clinical prognostic scores in predicting functional outcome of patients with intracerebral hemorrhage.

An artificial intelligence-based prognostic prediction model for hemorrhagic stroke

PurposeThe prognosis following a hemorrhagic stroke is usually extremely poor. Rating scales have been developed to predict the outcomes of patients with intracerebral hemorrhage (ICH). To date, however, the prognostic prediction models have not included the full range of relevant imaging features. We constructed a clinic-imaging fusion model based on convolutional neural networks (CNN) to predict the short-term prognosis of ICH patients. Materials and methodsThis was a multi-center retrospective study, which included 1990 patients with ICH. Two CNN-based deep learning models were constructed to predict the neurofunctional outcomes at discharge; these were validated using a nested 5-fold cross-validation approach. The models’ predictive efficiency was compared with the original ICH scale and the ICH grading scale. Poor neurological outcome was defined as a Glasgow Outcome Scale (GOS) score of 1–3. ResultsThe training and test sets included 1599 and 391 patients, respectively. For the test set, the clinic-imaging fusion model had the highest area under the curve (AUC = 0.903), followed by the imaging-based model (AUC = 0.886), the ICH scale (AUC = 0.777), and finally the ICH grading scale (AUC = 0.747). ConclusionThe CNN prognostic prediction model based on neuroimaging features was more effective than the ICH scales in predicting the neurological outcomes of ICH patients at discharge. The CNN model’s predictive efficiency slightly improved when clinical data were included.

Intracerebral Hemorrhage Score as a Prognosis Prediction of Spontaneous Intracerebral Hemorrhage at RSI Surabaya Jemursari

Highlight: Spontaneous intracerebral hemorrhage, or hemorrhagic stroke, is one of the leading causes of mortality and disability in Indonesia. The intracerebral hemorrhage (ICH) score is a widely used predictive tool for the prognosis of death 30 days after spontaneous intracerebral hemorrhage, but the intracerebral hemorrhage-grading scale (ICH-GS) score has a more specific interval to assess prognosis prediction after intracerebral. The higher the total score, the more likely it is to have a poor outcome. The results of this study indicate that patients with a high total score did not always die. ABSTRACT Introduction: Spontaneous intracerebral hemorrhage, or hemorrhagic stroke, is one of the leading causes of mortality and disability in Indonesia. Objective: The intracerebral hemorrhage (ICH) score is a widely used predictive tool for the prognosis of death 30 days after spontaneous intracerebral hemorrhage, but the intracerebral hemorrhage-grading scale (ICH-GS) score has a more specific interval to assess prognosis prediction after intracerebral hemorrhage. Methods: The type of research used was observational-retrospective research. The population included all patients with spontaneous intracerebral hemorrhage hospitalized at RSI Jemursari Surabaya in 2017–2019. Results: The results revealed that there were 110 spontaneous intracerebral hemorrhage patients with complete data in medical e-records during 2017–2019; 65.5% (72 patients) were male and 34.5% (38 patients) were female. The data showed that 20% (22 patients) had an ICH-GS score of 8 and 0.9% (1 patient) had an ICH-GS score of 12. Conclusion: The higher the total score, the more likely it is to have a poor outcome. The results of this study indicate that patients with a high total score did not always die.

Intracerebral Hemorrhage-Grading Scale (ICH-GS) Score as a Prognosis Prediction of Spontaneous Intracerebral Hemorrhage at Rumah Sakit Islam Surabaya Jemursari

Background: Spontaneous intracerebral hemorrhage or hemorrhagic stroke is one of the leading causes of mortality and disability in Indonesia, but until now there is no specific therapy for this disease. The intracerebral hemorrhage (ICH) score is a widely used predictive tool for the prognosis of death 30 days after spontaneous intracerebral hemorrhage, but the intracerebral hemorrhage-grading scale (ICH-GS) score has a more specific interval to assess the prediction of the prognosis after intracerebral hemorrhage. Rumah Sakit Islam (RSI) Jemursari Surabaya has not carried out data collection related to the ICH-GS score with the outcome (death) of patients with spontaneous intracerebral hemorrhage, especially while still receiving hospital treatment. Objective: To identify the number of ICH-GS scores in patients with spontaneous intracerebral hemorrhage as a predictor of prognosis at RSI Jemursari Surabaya. Method: The type of this research is retrospective research. The population comprised of all patients with spontaneous intracerebral hemorrhage hospitalized at RSI Jemursari Surabaya in 2017-2019, with affordable population of all patients with spontaneous intracerebral hemorrhage diagnosed by a neurologist. Results: The data showed that 5.5% (6 people) had an ICH-GS score of 5; 38.2% (42 people) had an ICG-GS score of 6; 21.8% (24 people) had an ICH-GS score of 7; 20 % (22 people) had an ICH-GS score of 8; 5.5% (6 people) had an ICH-GS score of 9; 4.5% (5 people) had an ICH-GS score of 10; 3.6% (4 people) had an ICH-GS score of 11; and 0.9% (1 patient) had an ICH-GS score of 12. Conclusions: The results of the ICH-GS score can be used to facilitate communication both with fellow health workers and with the patient's family. Trend of the data showed that ICH-GS score is not consistent in showing the prognosis of spontaneous intracerebral hemorrhage (the smaller the ICH-GS score should have better prognosis than the higher score), while the information based only on volume and location can predict the prognosis more consistently`.

Postsurgical functional outcome prediction model using deep learning framework (Prediction One, Sony Network Communications Inc.) for hypertensive intracerebral hemorrhage.

Background: Reliable prediction models of intracerebral hemorrhage (ICH) outcomes are needed for decision-making of the treatment. Statistically making such prediction models needs a large number of samples and time-consuming statistical analysis. Deep learning (DL), one of the artificial intelligence, is attractive, but there were no reports on DL-based functional outcome prediction models for ICH outcomes after surgery. We herein made a functional outcome prediction model using DLframework, Prediction One (Sony Network Communications Inc., Tokyo, Japan), and compared it to original ICH score, ICH Grading Scale, and FUNC score.Methods: We used 140 consecutive hypertensive ICH patients’ data in our hospital between 2012 and 2019. All patients were surgically treated. Modified Rankin Scale 0–3 at 6 months was defined as a favorable outcome. We randomly divided them into 100 patients training dataset and 40 patients validation dataset. Prediction One made the prediction model using the training dataset with 5-fold cross-validation. We calculated area under the curves (AUCs) regarding the outcome using the DL-based model, ICH score, ICH Grading Scale, and FUNC score. The AUCs were compared.Results: The model made by Prediction One using 64 variables had AUC of 0.997 in the training dataset and that of 0.884 in the validation dataset. These AUCs were superior to those derived from ICH score, ICH Grading Scale, and FUNC score.Conclusion: We easily and quickly made prediction models using Prediction One, even with a small single-center dataset. The accuracy of the DL-based model was superior to those of previous statistically calculated models.

Можливості клініко-нейровізуалізаційної верифікації прогнозу перебігу гострого періоду спонтанного супратенторіального внутрішньомозкового крововиливу на тлі консервативної терапії

The aim of the study – to improve the diagnostic measures in patients with spontaneous supratentorial intracerebral hemorrhage through elaboration of the prognostic criteria for the early neurological deterioration on the ground of comparative analysis of clinical scales that evaluate the severity of patient’s condition. Materials and methods. Prospective, cohort investigation of 339 patients (mean age 64,8±0,6 years) in acute period of spontaneous supratentorial intracerebral hemorrhage was done. The diagnosis was made on the ground of clinical, neurovisualization examination. Initial patient’s condition severity was estimated by using the National Institute of Health Stroke Scale (NIHSS), Full Outline of UnResponsiveness (FOUR) Scale, Glasgow Coma Scale, original Intracerebral Hemorrhage Scale (oICH), modified Intracerebral Hemorrhage Scales (mICH-A, mICH-B), Intracerebral Hemorrhage Grading Scale (ICH-GS), Intracerebral Hemorrhage Functional Outcome Scale (ICH-FOS). The early neurological deterioration was used as a cumulative end-point. It was detected as onset of one or some events from the following during 24 hours from the admission on the ground of conservative therapy: 1) decrease of FOUR score ≥2; 2) increase of NIHSS score ≥4; 3) lethal outcome. Logistic regression and ROC-analysis were used for prognostic criteria elaboration. Results. Clinical neurological deterioration during 24 hours from admission was revealed in 99 (29,2%) patients. On the ground of univariate logistic regression analysis it was detected that the risk of early neurological deterioration in patients with spontaneous supratentorial intracerebral hemorrhage on the ground of conservative therapy is evaluated as the following summary score: oICH (OR (95% CІ) = 2,71 (2,07–3,55), р˂0,0001), mICH-A (OR (95% CІ) = 1,70 (1,50–1,93), р˂0,0001), mICH-B (OR (95% CІ) = 1,81 (1,57–2,09), р˂0,0001), ICH-GS (OR (95% CІ) = 1,91 (1,59–2,29), р˂0,0001) and ICH-FOS (OR (95% CI) = 1,40 (1,28–1,54), р˂0,0001). It was detected that mICH-A and mICH-B scales differ with higher AUC values compared with oICH, ICH-GS and ICH-FOS concerning early neurological deterioration prediction in patients with spontaneous supratentorial intracerebral hemorrhage. Conclusions. Early neurological deterioration predictors in patients with spontaneous supratentorial intracerebral hemorrhage during 24 hours from the admission are the mICH-A score >4 (sensitivity = 71,7%, specificity = 78,8%) and mICH-B score >2 (sensitivity = 82,8%, specificity = 63,8%)

Prognostic value of early glycosylated hemoglobin and blood glucose levels in patients with basal ganglia cerebral hemorrhage.

This study was performed to analyze the relationships of the early glycosylated hemoglobin (GHb) level and blood glucose level (BGL) with prognosis in patients with basal ganglia cerebral hemorrhage (BGCH). In total, 186 patients with BGCH were included in this prospective study. The GHb level, fasting BGL, bleeding volume, degree of consciousness disorder, intracerebral hemorrhage (ICH) score, functional outcome in patients with primary ICH (FUNC) score, ICH grading scale (ICH-GS) score, and neurological impairment were recorded during a 30-day observation period. The mean BGCH volume was 58.42 mL. The 30-day mortality rate was 22.32%. The ICH-GS score [odds ratio (OR) = 0.815, 95% confidence interval (95% CI) = 0.504-0.688, R = 0.624] and bleeding volume (OR = 0.882, 95% CI = 0.785-0.918, R = 0.784) were significant predictors of 30-day mortality. The GHb level (OR = 6.138, R = 0.705) and BGL (OR = 1.055, R = 0.418) were independent predictors of 30-day mortality according to the multivariate logistic regression analysis. The GHb level and BGL are strong predictors of 30-day mortality in patients with BGCH and accurately predict the prognosis in these patients.

The max‐intracerebral hemorrhage score predicts long‐term outcome of intracerebral hemorrhage

Little is known about the performance of the maximally treated intracerebral hemorrhage (max-ICH) score in predicting unfavorable long-term functional outcome and death in patients with intracerebral hemorrhage (ICH) in China. We aimed to validate the performance of the max-ICH score and compared it with other recognized scores. We derived data from the China National Stroke Registry (CNSR). Receiver-operating characteristic (ROC) analysis and Hosmer-Lemeshow test were used to measure the score performance. We compared the performance of max-ICH score with six recognized models, including the ICH score, ICH functional outcome score (ICH-FOS), Essen-ICH score, modified intracerebral hemorrhage (MICH) score, intracerebral hemorrhage grading scale (ICH-GS), and functional outcome (FUNC) score. A total of 2581 patients with spontaneous ICH were enrolled in the study. The max-ICH score was similar or superior to the six existing scores in predicting long-term unfavorable functional outcome after ICH with good discrimination (AUC 0.83, 95% confidence interval [CI] 0.81-0.84) and calibration (Hosmer-Lemeshow P=0.19). For predicting death, the AUC of max-ICH was 0.81 (95% CI 0.79-0.83). The easy-to-use max-ICH score is a reliable tool to predict unfavorable long-term (12-month) functional outcome and death after intracerebral hemorrhage in the Chinese population.

Validation of Prognostic Models to Predict Early Mortality in Spontaneous Intracerebral Hemorrhage: A Cross-Sectional Evaluation of a Singapore Stroke Database.

Numerous scores have been developed for prognostication of outcomes in intracerebral hemorrhage (ICH). Prediction models must be validated internally and externally before they are considered widely applicable. We aim to independently externally validate and compare 3 prediction models (ICH score, ICH grading scale [ICH-GS], and simplified ICH [sICH]) in our population, which has not been previously done. We reviewed 1338 patients with spontaneous ICH consecutively admitted to the National Neuroscience Institute, Singapore, between January 2009 and November 2013. We analyzed prospectively collected data of admission characteristics (clinical, neuroimaging, and laboratory findings). All 3 scores prognosticated 30-day mortality. Validation was based on calibration, goodness-of-fit tests, and discrimination (area under receiver operating characteristic curve [AUC]). Akaike information criterion (AIC) and decision curve analysis (DCA) were used to directly compare the scores. All 3 models showed good calibration and both the Hosmer-Lemeshow and the le Cessie-van Houwelingen-Copas goodness-of-fit test showed P values >0.05. AUCs ranged from 0.86 to 0.90, indicating good discriminative ability, with the ICH-GS performing the best with the highest AUC, lowest AIC (849), and overall highest net benefit in the DCA. This study successfully independently validates the ICH score, ICH-GS, and sICH score in a large patient cohort with spontaneous ICH, which has not been previously done in this non-Western population. We recommend the use of the ICH-GS as a prognostication tool in our patients instead of the widely used ICH score.

The evaluation of the relationship between risk factors and prognosis in intracerebral hemorrhage patients.

Patients were assessed in terms of risk factors, hematoma size and localization, the effects of spontaneous intracerebral hemorrhage (ICH) on mortality and morbidity, and post-stroke depression. The present study evaluated the demographic data, risk factors, and neurological examinations of 216 ICH patients. The diagnosis, volume, localization, and ventricular extension of the hematomas were determined using computed tomography scans. The mortality rate through the first 30 days was evaluated using ICH score and ICH grading scale. The Modified Rankin Scale (mRS) was used to determine the dependency status and functional recovery of each patient, and the Hamilton Depression Rating Scale was administered to assess the psychosocial status of each patient. The mean age of the patients was 65.3±14.5 years. The most common locations of the ICH lesions were as follows: lobar (28.3%), thalamus (26.4%), basal ganglia (24.0%), cerebellum (13.9%), and brainstem (7.4%). The average hematoma volume was 15.8±23.8 cm3; a ventricular extension of the hemorrhage developed in 34.4% of the patients, a midline shift in 28.7%, and perihematomal edema, as the most frequently occurring complication, in 27.8%. Over the 6-month follow-up period, 57.9% of patients showed a poor prognosis (mRS: ≥3), while 42.1% showed a good prognosis (mRS: <3). The mortality rate over the first 30 days was significantly higher in patients with a low Glasgow Coma Scale (GCS) score at admission, a large hematoma volume, and ventricular extension of the hemorrhage (p=0.0001). In the poor prognosis group, the presence of moderate depression (39.13%) was significantly higher than in the good prognosis group (p=0.0001). Determination and evaluation of the factors that could influence the prognosis and mortality of patients with ICH is crucial for the achievement of more effective patient management and improved quality of life.

Predictors of 30-day mortality in patients with spontaneous primary intracerebral hemorrhage.

Background:Intracerebral hemorrhage (ICH) is a life threatening entity, and an early outcome assessment is mandatory for optimizing therapeutic efforts.Methods:We retrospectively analyzed data from 342 patients with spontaneous primary ICH to evaluate possible predictors of 30-day mortality considering clinical, radiological, and therapeutical parameters. We also applied three widely accepted outcome grading scoring systems [(ICH score, FUNC score and intracerebral hemorrhage grading scale (ICH-GS)] on our population to evaluate the correlation of these scores with the 30-day mortality in our study. We also applied three widely accepted outcome grading scoring systems [(ICH score, FUNC score and intracerebral hemorrhage grading scale (ICH-GS)] on our population to evaluate the correlation of these scores with the 30-day mortality in our study.Results:From 342 patients (mean age: 67 years, mean Glasgow Coma Scale [GCS] on admission: 9, mean ICH volume: 62.19 ml, most common hematoma location: basal ganglia [43.9%]), 102 received surgical and 240 conservative treatment. The 30-day mortality was 25.15%. In a multivariate analysis, GCS (Odds ratio [OR] =0.726, 95% confidence interval [CI] =0.661–0.796, P < 0.001), bleeding volume (OR = 1.012 per ml, 95% CI = 1.007 – 1.017, P < 0.001), and infratentorial hematoma location (OR = 5.381, 95% CI = 2.166-13.356, P = 0.009) were significant predictors for the 30-day mortality. After receiver operating characteristics analysis, we defined a “high-risk group” for an unfavorable short-term outcome with GCS <11 and ICH volume >32 ml supratentorially or 21 ml infratentorially. Using Pearson correlation, we found a correlation of 0.986 between ICH score and 30-day mortality (P < 0.001), 0.853 between FUNC score and 30-day mortality (P = 0.001), and 0.924 between ICH-GS and 30-day mortality (P = 0.001).Conclusions:GCS score on admission together with the baseline volume and localization of the hemorrhage are strong predictors for 30-day mortality in patients with spontaneous primary intracerebral hemorrhage, and by relying on them it is possible to identify high-risk patients with poor short-term outcome. The ICH score and the ICH-GS accurately predict the 30-day mortality.

Prognostic Value of ICH Score and ICH-GS Score in Chinese Intracerebral Hemorrhage Patients: Analysis From the China National Stroke Registry (CNSR)

PurposeNo strongevidenceofefficacycurrently exists for different intracerebral hemorrhage (ICH) scoring system in predicting the prognosis of ICH in the Chinese population. This study aimed to test the accuracyof the ICH score and the ICH grading scale (ICH-GS) score in predicting the favorable prognosis in a large cohort of ICH patients in China.MethodsThis study was a multicenter, prospective cohort study. Patients diagnosed with ICH between September 2007 and August 2008 from the nationwide China National Stroke Registry (CNSR) databasewere screened andenrolled in this study. Demographics of the patients, treatments, mortalityas well as the clinic and radiologic findings of ICH were collected.AnICH score and anICH-GS score were evaluated for all the patients atadmission. Follow-ups were conducted by phone at 3, 6 and 12 months after ICH onset. The modified Rankin scale (mRS) score was used to evaluate favorable functional outcome and was obtained at hospital dischargeand duringthe 3-, 6- and 12-month follow-up visits.ResultsThere were 410 (12.6%) in-hospitalmortalityout of a total of 3,255 ICH patients. Thevalues of the Area Under Curve (AUC)at discharge, 3-, 6- and 12-month follow-up for ICH score were 0.72, 0.76, 0.76 and 0.75, respectively; whilethe numbers for the ICH-GS score were 0.71, 0.77, 0.78 and 0.78, respectively. At 6-month and 12-month follow-up, the ICH-GS score presented a significant better value in predicting favorable prognosis than did the ICH score (P=0.0003 and <0.0001, respectively).ConclusionBoth the ICH and ICH-GS scores were effective inaccurately predicting the favorable functional outcome of ICH in the Chinese population. For mid-term and long-term prediction, the ICH-GS score was superiorover the ICH score.

Accuracy and Clinical Usefulness of Intracerebral Hemorrhage Grading Scores

Various grading scores to predict survival after intracerebral hemorrhage (ICH) have been described. We aimed to test the accuracy and clinical usefulness of 3 well-known scores (original ICH score, modified ICH score, and ICH grading scale) in a large unselected cohort of typical ICH patients. A total of 1364 ICH cases were referred to our center from January 1, 2008, to October 17, 2010. Clinical details were prospectively recorded, and the first computed tomography brain scan was retrospectively reviewed to determine ICH volume and location and to identify intraventricular hemorrhage. The original ICH, ICH grading scale, and modified ICH score were calculated. Receiver operating characteristic and decision curves for 30-day mortality were generated. A total of 1175 patients were included in the final analysis. All 3 scores and the Glasgow Coma Scale (GCS) divided cases into groups with highly significant differences in mortality. The area under the receiver operating characteristic curve was very similar for original ICH (0.861), ICH grading scale (0.874), and GCS (0.872), but was less for modified ICH score (0.824). Age was much less predictive (0.565). Combining GCS with age, log ICH volume, and intraventricular hemorrhage to derive a multifactorial risk of death at 30 days significantly increased the area under the receiver operating characteristic curve (0.897). All scores and GCS demonstrated a similar net benefit for threshold probabilities of 10% to 95%. Above 95%, the net benefit of GCS became inferior to the prognostic scores. Although existing grading scores are highly predictive of 30-day mortality, GCS alone was as predictive in our cohort, but age was not.

A prospective study of in-hospital mortality and discharge outcome in spontaneous intracerebral hemorrhage

Intracerebral hemorrhage (ICH) is associated with high mortality and morbidity. Various clinical and imaging predictors of mortality have been observed in previous studies. To study factors associated with in-hospital mortality in patients with ICH and observe the disability status of patients [assessed by modified Rankin scale (mRS)] at the time of discharge. Prospective observational study. All consecutive patients with acute hypertensive ICH admitted during the study period were enrolled. Data recorded included: Demographics, clinical, biochemical and cranial computed tomography (CT) findings. Primary outcome was defined as either death or survival within the hospital. mRS was used to assess outcome at discharge. Of the total 214 patients with ICH (193 supratentorial and 21 infratentorial), 70 (32.7%) patients died during the hospital stay. On bivariate analysis, low Glasgow Coma Scale (GCS) score, ventilatory assistance, higher hematoma volume, midline shift, hydrocephalus and intraventricular hematoma (IVH) were associated with mortality. ICH grading scale (ICH-GS) and ICH scores were higher in patients who died (P < 0.0001). Ninety-five (44.6%) patients underwent a neurosurgical intervention; 66 (45.8%) patients among the survivors compared with 29 (41.4%) among those who died (P = 0.54, Odds Ratio (OR) 0.83, 95% Confidence Interval (CI) 0.46-1.48). Independent predictors of mortality included a higher baseline hematoma volume ( P = 0.04 OR 1.01, 95% CI 1.00-1.02), lower GCS ( P = 0.01 OR 2.57, 95%CI 1.25-5.29), intraventricular extension of hematoma ( P = 0.007 OR 2.66, 95% CI 1.26-5.56) and ventilatory requirement (P < 0.0001 OR 8.34, 95%CI 2.75-25.38). Among survivors (n = 144), most were disabled [mRS 0-3, 7 (4.8%) and mRS 4-5, 137 (95.13%)] at discharge. Low GCS, higher baseline ICH volume, presence of IVH and need for ventilatory assistance are independent predictors of mortality. Most of the patients at discharge were disabled. Surgery did not improve mortality or outcome.

Do-not-resuscitate orders and predictive models after intracerebral hemorrhage

# {#article-title-2} To the Editor: Zahuranec et al.1 outline the impact of early do-not-resuscitate (DNR) orders on the accuracy of intracerebral hemorrhage (ICH) predictive models. The authors found that the ICH Score,2 Cincinnati model,3 and ICH grading scale (ICH-GS)4 underestimated mortality in patients with early DNR orders by 18.7%,2 26.3%,3 and 5.7%4 compared to the observed rate of 83.5%. The models overestimated mortality in those without DNR orders by 5.8%,2 10.6%,3 and 20.3%4 …

Hemorragia intracerebral espontánea en México: resultados del Registro Hospitalario Multicéntrico Nacional en Enfermedad Vascular Cerebral (RENAMEVASC)

Scarce information exists on intracerebral hemorrhage (ICH) in Latin America, and the existent is derived from single-center registries with non-generalizable conclusions. The aim of this study is to describe the frequency, etiology, management and outcome of ICH in Mexico. We studied consecutive patients with ICH pertaining to the National Multicenter Registry on Cerebro-vascular Disease (RENAMEVASC), conducted in 25 centers from 14 states of Mexico. The Intracerebral Hemorrhage Grading Scale (ICH-GS) at admission was used to assess prognosis at 30 days follow-up. Of 2,000 patients with acute cerebrovascular disease registered in RENAMEVASC, 564 (28%) had primary ICH (53% women; median age: 63 years; interquartile range: 50-75 years). Hypertension (70%), vascular malformations (7%) and amyloid angiopathy (4%) were the main etiologies. In 10% of cases etiology could not be determined. Main ICH locations were basal ganglia (50%), lobar (35%) and cerebellum (5%). Irruption into the ventricular system occurred in 43%. Median score of ICH-GS was 8 points: 49% had 5-7 points, 37% had 8-10 points and 15% had 11-13 points. The 30-day case fatality rate was 30%, and 31% presented severe disability. The 30-day survival was 92% for patients with ICH-GS 5-7 points, whereas it decreased to 27% in patients with ICH-GS 11-13 points. In Mexico, ICH represents about a third of the forms of acute cerebrovascular disease, and the majority of patients present severe disability or death at 30 days of follow-up. Hypertension is the main cause; hence, control of this important cardiovascular risk factor should reduce the health burden of ICH.

Do-not-resuscitate orders and predictive models after intracerebral hemorrhage

To quantify the accuracy of commonly used intracerebral hemorrhage (ICH) predictive models in ICH patients with and without early do-not-resuscitate orders (DNR). Spontaneous ICH cases (n = 487) from the Brain Attack Surveillance in Corpus Christi study (2000-2003) and the University of California, San Francisco (June 2001-May 2004) were included. Three models (the ICH Score, the Cincinnati model, and the ICH grading scale [ICH-GS]) were compared to observed 30-day mortality with a chi(2) goodness-of-fit test first overall and then stratified by early DNR orders. Median age was 71 years, 49% were female, median Glasgow Coma Scale score was 12, median ICH volume was 13 cm(3), and 35% had early DNR orders. Overall observed 30-day mortality was 42.7% (95% confidence interval [CI] 38.3-47.1), with the average model-predicted 30-day mortality for the ICH Score, Cincinnati model, and ICH-GS at 39.9% (p = 0.005), 40.4% (p = 0.007), and 53.9% (p < 0.001). However, for patients with early DNR orders, the observed 30-day mortality was 83.5% (95% CI 78.0-89.1), with the models predicting mortality of 64.8% (p < 0.001), 57.2% (p < 0.001), and 77.8% (p = 0.02). For patients without early DNR orders, the observed 30-day mortality was 20.8% (95% CI 16.5-25.7), with the models predicting mortality of 26.6% (p = 0.05), 31.4% (p < 0.001), and 41.1% (p < 0.001). ICH prognostic model performance is substantially impacted when stratifying by early DNR status, possibly giving a false sense of model accuracy when DNR status is not considered. Clinicians should be cautious when applying these predictive models to individual patients.

Copeptin is associated with mortality and outcome in patients with acute intracerebral hemorrhage

BackgroundSpontaneous intracerebral hemorrhage (ICH) accounts for a high mortality and morbidity. Early prediction of outcome is crucial for optimized care and treatment decision. Copeptin, the C-terminal part of provasopressin, has emerged as a new prognostic marker in a variety of diseases, but its prognostic value in ICH is unknown.MethodsIn 40 consecutive patients who were admitted to the hospital within 72 hours after a spontaneous ICH, the plasma copeptin level was measured with a sandwich immunoassay upon admission. The prognostic value of copeptin to predict 30 day mortality and functional outcome after 90 days was assessed. A favorable outcome was defined as a Barthel score above 85 and a score below 3 on the Modified Rankin Scale.ResultsCopeptin correlated positively with hematoma volume (r = 0.32, p < 0.05) and negatively with the Glasgow Coma Scale (GCS) on admission (r = -0.35, p < 0.05). Copeptin levels were higher in patients who died within 30 days than in 30-day survivors (179.0 pmol/l (IQR 33.7- 566.0) vs. 12.9 pmol/l (IQR 5.2 - 42.8), p = 0.003). Copeptin levels were also higher in patients with an unfavorable functional outcome at 90 days compared to patients with a favorable outcome (32.4 pmol/l (IQR 9.5-97.8) vs. 11.9 pmol/l (IQR 3.2-19.8), p = 0.04). For the prediction of death, receiver-operating-characteristics analysis revealed an area under the curve (AUC) for copeptin of 0.88 (95%CI 0.75-1.00). The predictive value of the copeptin concentration was thus similar to that of GCS (AUC 0.82 (95%CI 0.59-1.00) p = 0.53), of the ICH Score (AUC 0.89, (95%CI 0.76-1.00), p = 0.94) and the ICH Grading Scale (AUC 0.86 (95%CI 0.69-1.00), p = 0.81).ConclusionsCopeptin is a new prognostic marker in patients with an ICH. If this finding can be confirmed in larger studies, copeptin might be an additional valuable tool for risk stratification and decision-making in the acute phase of ICH.Trial Registration(Clinical Trial Registration: ISCTRN00390962)

Clinical Grading Scales in Intracerebral Hemorrhage

Intracerebral hemorrhage (ICH) carries higher risk of long-term disability and mortality than any other form of stroke. Despite greater understanding of ICH pathophysiology, treatment options for this devastating condition remain limited. Moreover, a lack of a standard, universally accepted clinical grading scale for ICH has contributed to variations in management protocols and clinical trial designs. Grading scales are essential for standardized assessment and communication among physicians, selecting optimized treatment regiments, and designing effective clinical trials. There currently exist a number of ICH grading scales and prognostic models that have been developed for mortality and/or functional outcome, particularly 30 days after the ICH onset. Numerous reliable scales have been externally validated in heterogeneous populations. We extensively reviewed the inherent strengths and limitations of all the existing clinical ICH grading scales based on their development and validation methodology. For all ICH grading scales, we carefully observed study design and the definition and timing of outcome assessment to elucidate inconsistencies in grading scale derivation and application. Ultimately, we call for an expansive, prospective, multi-center clinical outcome study to clearly define all aspects of ICH, establish ideal grading scales, and standardized management protocols to enable the identification of novel and effective therapies in ICH.

Is ED disposition associated with intracerebral hemorrhage mortality?

Background Early deterioration is common in intracerebral hemorrhage (ICH). Treatment at tertiary care centers has been associated with lower ICH mortality. Guidelines recommend aggressive care for 24 hours irrespective of the initial outlook. We examined the frequency of and factors associated with transfer to tertiary centers in ICH patients who initially presented at nontertiary emergency departments (EDs). We also compared observed with expected mortality in transferred and nontransferred patients using published short-term mortality predictors for ICH. Methods Adult patients who resided in a 5-county region and presented to nontertiary EDs with nontraumatic ICH in 2005 were identified. Intracerebral hemorrhage score and ICH Grading Scale (ICH-GS) were determined. Of 16 local hospitals, 2 were designated tertiary care centers. Logistic regression was used to assess factors associated with transfer. Results Of 205 ICH patients who presented to nontertiary EDs, 80 (39.0%) were transferred to a tertiary center. In multivariate regression, better baseline function (modified Rankin scale 0-2 versus 3-5; odds ratio, 0.42, 95% confidence interval, 0.21-0.85, P = .016) and black race (odds ratio, 2.28, 95% confidence interval 1.01-5.12, P = .046) were associated with transfer. A trend toward higher 30-day mortality was observed in nontransferred patients (32.5% versus 45.6%, P = .06). The ICH-GS overestimated mortality for all patients, while the ICH Score adequately predicted mortality. Conclusions We found no significant difference in mortality between transferred and nontransferred patients, but the trend toward higher mortality in nontransferred patients suggests that further evaluation of ED disposition decisions for ICH patients is warranted. Expected ICH mortality may be overestimated by published tools.