scholarly journals Clinical and radiological characteristics and outcome of wake-up intracerebral hemorrhage

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Joan Martí-Fàbregas ◽  
Raquel Delgado-Mederos ◽  
Alejandro Martínez-Domeño ◽  
Pol Camps-Renom ◽  
Daniel Guisado-Alonso ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Functional Outcome ◽  
Stroke Unit ◽  
Prognostic Markers ◽  
Vascular Risk ◽  
Radiological Data ◽  
Hematoma Growth ◽  
Ich Score ◽  
Gcs Score ◽  
Prospective Database

Abstract There is little information on the characteristics of patients with wake-up intracerebral hemorrhage (WU-ICH). We aimed to evaluate frequency and relevant differences between WU-ICH and while-awake (WA) ICH patients. This is a retrospective study of a prospective database of consecutive patients with spontaneous ICH, who were classified as WU-ICH, WA-ICH or UO-ICH (unclear onset). We collected demographic, clinical and radiological data, prognostic and therapeutic variables, and outcome [(neurological deterioration, mortality, functional outcome (favorable when modified Rankin scale score 0–2)]. From a total of 466 patients, 98 (25.8%) were classified as UO-ICH according to the type of onset and therefore excluded. We studied 368 patients (mean age 73.9 ± 13.8, 51.4% men), and compared 95 (25.8%) WU-ICH with 273 (74.2%) WA-ICH. Patients from the WU-ICH group were significantly older than WA-ICH (76.9 ± 14.3 vs 72.8 ± 13.6, p = 0.01) but the vascular risk factors were similar. Compared to the WA-ICH group, patients from the WU-ICH group had a lower GCS score or a higher NIHSS score and a higher ICH score, and were less often admitted to a stroke unit or intensive care unit. There were no differences between groups in location, volume, rate of hematoma growth, frequency of intraventricular hemorrhage and outcome. One in five patients with spontaneous ICH are WU-ICH patients. Other than age, there are no relevant differences between WU and WA groups. Although WU-ICH is associated with worse prognostic markers vital and functional outcome is similar to WA-ICH patients.

A grading scale for surgically treated patients with spontaneous supratentorial intracerebral hemorrhage: the Surgical Swedish ICH Score

2020 ◽  
Vol 133 (3) ◽  
pp. 800-807 ◽  
Author(s):  
Andreas Fahlström ◽  
Henrietta Nittby Redebrandt ◽  
Hugo Zeberg ◽  
Jiri Bartek ◽  
Andreas Bartley ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Intracerebral Hemorrhage ◽  
External Validation ◽  
Grading Scale ◽  
Ich Score ◽  
Gcs Score ◽  
Strength Of Association ◽  
Point Type ◽  
Clinical Grading

OBJECTIVEThe authors aimed to develop the first clinical grading scale for patients with surgically treated spontaneous supratentorial intracerebral hemorrhage (ICH).METHODSA nationwide multicenter study including 401 ICH patients surgically treated by craniotomy and evacuation of a spontaneous supratentorial ICH was conducted between January 1, 2011, and December 31, 2015. All neurosurgical centers in Sweden were included. All medical records and neuroimaging studies were retrospectively reviewed. Independent predictors of 30-day mortality were identified by logistic regression. A risk stratification scale (the Surgical Swedish ICH [SwICH] Score) was developed using weighting of independent predictors based on strength of association.RESULTSFactors independently associated with 30-day mortality were Glasgow Coma Scale (GCS) score (p = 0.00015), ICH volume ≥ 50 mL (p = 0.031), patient age ≥ 75 years (p = 0.0056), prior myocardial infarction (MI) (p = 0.00081), and type 2 diabetes (p = 0.0093). The Surgical SwICH Score was the sum of individual points assigned as follows: GCS score 15–13 (0 points), 12–5 (1 point), 4–3 (2 points); age ≥ 75 years (1 point); ICH volume ≥ 50 mL (1 point); type 2 diabetes (1 point); prior MI (1 point). Each increase in the Surgical SwICH Score was associated with a progressively increased 30-day mortality (p = 0.0002). No patient with a Surgical SwICH Score of 0 died, whereas the 30-day mortality rates for patients with Surgical SwICH Scores of 1, 2, 3, and 4 were 5%, 12%, 31%, and 58%, respectively.CONCLUSIONSThe Surgical SwICH Score is a predictor of 30-day mortality in patients treated surgically for spontaneous supratentorial ICH. External validation is needed to assess the predictive value as well as the generalizability of the Surgical SwICH Score.

Abstract WP355: Intracerebral Hemorrhage Care in a Stroke Unit is Safe and Associated With Lower Costs

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Corey R Fehnel ◽  
Linda C Wendell ◽  
N. Stevenson Potter ◽  
Kimberly Glerum ◽  
Richard N Jones ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Stroke Unit ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Hospital Charges ◽  
Total Hospital ◽  
Reduced Costs ◽  
Reducing Costs ◽  
Ich Score ◽  
Median Hospital

Background: There is little data to support level of care decisions for lower risk intracerebral hemorrhage (ICH) patients. The addition of a dedicated stroke unit (SU) at our institution allowed for a comparison of such patients cared for in the intensive care unit (ICU) or SU. We hypothesized that SU care of select ICH patients would not change functional outcome, and result in reduced costs. Methods: Two retrospective cohorts of consecutive patients with small (<20 cc) supratentorial ICH and the absence of anticoagulation were enrolled. In the first study period from August 1, 2008 to February 1, 2011, patients were admitted to the neurological or medical ICU (historical control). In the second study period from August 1, 2012 to January 30, 2014, patients were admitted to a dedicated SU. Intubated patients, those requiring vasopressors, osmotic therapy, or ventriculostomy were excluded. Primary outcomes were discharge modified Rankin Score (mRS) and total hospital charges. Multivariate analyses were used for predicting mRS and early complications. Results: There were 104 patients included in the analysis (41 ICU, 63 SU). Mean age, gender and race did not differ significantly between groups. Mean ICH volume was 6cc in the SU group and 8cc in the ICU group (P>.05). Prior antiplatelet use, ICH location, and ICH score did not differ between groups. Intraventricular hemorrhage and hydrocephalus were more common in the ICU group (P<.001). Two SU patients transferred to the ICU for pneumonia and acute myocardial infarction. There were no significant differences in complications such as ICH expansion, use of osmotic therapy, seizures, or pneumonia. There was no difference in discharge mRS between groups (P>.05). Median hospital length of stay was 6 days in the ICU group and 3 days in SU group (P<.001). Median direct costs for the ICU group were $5,859 (IQR 4,782-9,733) and were $4,078 (IQR 2,861-6,865) for the SU group (P<.001). Unit of admission was not a significant predictor of early complication (P=.73) or discharge mRS (P=.43) in multivariate analysis. Conclusions: This preliminary retrospective study provides support for select low-risk ICH patients to be safely cared for in a lower intensity setting with potential for reducing costs.

scholarly journals Machine Learning-Based Approaches for Prediction of Patients’ Functional Outcome and Mortality after Spontaneous Intracerebral Hemorrhage

2022 ◽  
Vol 12 (1) ◽  
pp. 112
Author(s):  
Rui Guo ◽  
Renjie Zhang ◽  
Ran Liu ◽  
Yi Liu ◽  
Hao Li ◽  
...  
Keyword(s):  
Machine Learning ◽  
Logistic Regression ◽  
Intracerebral Hemorrhage ◽  
Functional Outcome ◽  
Laboratory Data ◽  
Predictive Performance ◽  
High Morbidity ◽  
Spontaneous Intracerebral Hemorrhage ◽  
Receiver Operating Characteristic Curves ◽  
Ich Score

Spontaneous intracerebral hemorrhage (SICH) has been common in China with high morbidity and mortality rates. This study aims to develop a machine learning (ML)-based predictive model for the 90-day evaluation after SICH. We retrospectively reviewed 751 patients with SICH diagnosis and analyzed clinical, radiographic, and laboratory data. A modified Rankin scale (mRS) of 0–2 was defined as a favorable functional outcome, while an mRS of 3–6 was defined as an unfavorable functional outcome. We evaluated 90-day functional outcome and mortality to develop six ML-based predictive models and compared their efficacy with a traditional risk stratification scale, the intracerebral hemorrhage (ICH) score. The predictive performance was evaluated by the areas under the receiver operating characteristic curves (AUC). A total of 553 patients (73.6%) reached the functional outcome at the 3rd month, with the 90-day mortality rate of 10.2%. Logistic regression (LR) and logistic regression CV (LRCV) showed the best predictive performance for functional outcome (AUC = 0.890 and 0.887, respectively), and category boosting presented the best predictive performance for the mortality (AUC = 0.841). Therefore, ML might be of potential assistance in the prediction of the prognosis of SICH.

Abstract W P259: ICH &FUNC Scores in the Ethnic/Racial Variations of Intracerebral Hemorrhage (ERICH) Study

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Kevin N Sheth ◽  
Gene Sung ◽  
Carl D Langefeld ◽  
Charles J Moomaw ◽  
Jennifer Osborne ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Functional Outcome ◽  
Rank Correlation ◽  
Predictive Ability ◽  
Spearman’S Rank Correlation ◽  
Hispanic Patients ◽  
Chart Abstraction ◽  
Ich Score ◽  
Hispanic White

Introduction: The Intracerebral Hemorrhage (ICH) Score and Functional Outcome (FUNC) Score are prediction scales used to estimate outcome. These scales have not yet been validated in large minority cohorts. Our goal was to evaluate the predictive ability of the ICH and FUNC Score for white, black, and Hispanic patients. Methods: ERICH is an ongoing study of genetic and environmental risk factors for spontaneous ICH. The analysis included 847 cases enrolled prior to 1/1/2013 that had chart abstraction, baseline interview, CT imaging, GCS, and 3-month follow-up data available. Spearman’s rank correlation was used to assess the correlation between each score and 3-month modified Rankin Scale (mRS) score by ethnicity. Regression models were used to determine the predictive ability of each score. Results: Patients analyzed were 42% non-Hispanic black, 34% Hispanic, and 24% non-Hispanic white. Black and Hispanic subjects were younger compared with white subjects (p<.0001) and had higher proportions of deep ICH (p=.0013). Spearman’s rank correlations for ICH Score/FUNC Score and mRS at 3 months post ICH were 0.53/0.53 for black subjects, 0.66/0.63 for Hispanics, and 0.55/0.54 for whites. Both ICH and FUNC Scores had better predictive ability for minorities compared with whites (ICH Score, B = 0.87 black, 1.02 Hispanic, 0.76 white, p<.0001; FUNC Score, B = 0.56 black, 0.65 Hispanic, 0.49 white, p<.0001). Multiple regression demonstrated independent contributions by both scores for each ethnicity. Figure 1 demonstrates distribution of mortality by score. Conclusions: Both the ICH Score and FUNC Score were independently predictive of functional outcome at 3 months. Importantly, each score exhibits higher predictive ability in minority populations compared with whites. Whether or not this difference is attributed to minority status or baseline differences in age or ICH location requires further study.

scholarly journals Determining ICH Score: can we go beyond?

2009 ◽  
Vol 67 (3a) ◽  
pp. 605-608 ◽  
Author(s):  
Gustavo Cartaxo Patriota ◽  
João Manoel da Silva-Júnior ◽  
Alécio Cristino Evangelista Santos Barcellos ◽  
Joaquim Barbosa de Sousa Silva Júnior ◽  
Diogo Oliveira Toledo ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Functional Outcome ◽  
Auxiliary Variable ◽  
Accurate Information ◽  
Spontaneous Intracerebral Hemorrhage ◽  
Great Heterogeneity ◽  
One Year ◽  
The One ◽  
Ich Score ◽  
Reliable Scale

Spontaneous intracerebral hemorrhage (SICH) still presents a great heterogeneity in its clinical evaluation, demonstrating differences in the enrollment criteria used for the study of intracerebral hemorrhage (ICH) treatment. The aim of the current study was to assess the ICH Score, a simple and reliable scale, determining the 30-day mortality and the one-year functional outcome. Consecutive patients admitted with acute SICH were prospectively included in the study. ICH Scores ranged from 0 to 4, and each increase in the ICH Score was associated with an increase in the 30-day mortality and with a progressive decrease in good functional outcome rates. However, the occurrence of a pyramidal pathway injury was better related to worse functional outcome than the ICH Score. The ICH Score is a good predictor of 30-day mortality and functional outcome, confirming its validity in a different socioeconomic populations. The association of the pyramidal pathway injury as an auxiliary variable provides more accurate information about the prognostic evolution.

scholarly journals Safety and Costs of Stroke Unit Admission for Select Acute Intracerebral Hemorrhage Patients

2017 ◽  
Vol 8 (1) ◽  
pp. 12-17 ◽  
Author(s):  
Corey R. Fehnel ◽  
Kimberly M. Glerum ◽  
Linda C. Wendell ◽  
N. Stevenson Potter ◽  
Brian Silver ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Intracerebral Hemorrhage ◽  
Functional Outcome ◽  
Stroke Unit ◽  
Skilled Nursing Facility ◽  
Patient Characteristics ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Discharge Disposition ◽  
Group 5

Background and Purpose: There are limited data to guide intensive care unit (ICU) versus dedicated stroke unit (SU) admission for intracerebral hemorrhage (ICH) patients. We hypothesized select patients can be safely cared for in SU versus ICU at lower costs. Methods: We conducted a retrospective cohort study of consecutive patients with predefined minor ICH (≤20 cm3, supratentorial, no coagulopathy) receiving care in either an ICU or an SU. Multiple linear regression and inverse probability weighting were used to adjust for differences in patient characteristics and nonrandom ICU versus SU assignment. The primary outcome was poor functional status at discharge (modified Rankin score [mRS] ≥3). Secondary outcomes included complications, discharge disposition, hospital length of stay, and direct inpatient costs. Results: The study population included 104 patients (41 admitted to the ICU and 63 admitted to the SU). After controlling for differences in baseline characteristics, there were no differences in poor functional outcome at discharge (93% vs 85%, P = .26) or in mean mRS (2.9 vs 3.0, P = .73). Similarly, there were no differences in the rates of complications (6% vs 10%, P = .44), discharged dead or to a skilled nursing facility (8% vs 13%, P = .59), or direct patient costs (US$7100 vs US$6200, P = .33). Median length of stay was significantly longer in the ICU group (5 vs 4 days, P = .01). Conclusions: This study revealed a shorter length of stay but no large differences in functional outcome, safety, or cost among patients with minor ICH admitted to a dedicated SU compared to an ICU.

scholarly journals Imaging-Based Outcome Prediction of Acute Intracerebral Hemorrhage

2021 ◽  
Author(s):  
Jawed Nawabi ◽  
Helge Kniep ◽  
Sarah Elsayed ◽  
Constanze Friedrich ◽  
Peter Sporns ◽  
...  
Keyword(s):  
Machine Learning ◽  
Intracerebral Hemorrhage ◽  
Functional Outcome ◽  
Image Features ◽  
Ct Scans ◽  
Youden Index ◽  
Survival Prediction ◽  
Enhanced Ct ◽  
Acute Intracerebral Hemorrhage ◽  
Ich Score

AbstractWe hypothesized that imaging-only-based machine learning algorithms can analyze non-enhanced CT scans of patients with acute intracerebral hemorrhage (ICH). This retrospective multicenter cohort study analyzed 520 non-enhanced CT scans and clinical data of patients with acute spontaneous ICH. Clinical outcome at hospital discharge was dichotomized into good outcome and poor outcome using different modified Rankin Scale (mRS) cut-off values. Predictive performance of a random forest machine learning approach based on filter- and texture-derived high-end image features was evaluated for differentiation of functional outcome at mRS 2, 3, and 4. Prediction of survival (mRS ≤ 5) was compared to results of the ICH Score. All models were tuned, validated, and tested in a nested 5-fold cross-validation approach. Receiver-operating-characteristic area under the curve (ROC AUC) of the machine learning classifier using image features only was 0.80 (95% CI [0.77; 0.82]) for predicting mRS ≤ 2, 0.80 (95% CI [0.78; 0.81]) for mRS ≤ 3, and 0.79 (95% CI [0.77; 0.80]) for mRS ≤ 4. Trained on survival prediction (mRS ≤ 5), the classifier reached an AUC of 0.80 (95% CI [0.78; 0.82]) which was equivalent to results of the ICH Score. If combined, the integrated model showed a significantly higher AUC of 0.84 (95% CI [0.83; 0.86], P value <0.05). Accordingly, sensitivities were significantly higher at Youden Index maximum cut-offs (77% vs. 74% sensitivity at 76% specificity, P value <0.05). Machine learning–based evaluation of quantitative high-end image features provided the same discriminatory power in predicting functional outcome as multidimensional clinical scoring systems. The integration of conventional scores and image features had synergistic effects with a statistically significant increase in AUC.

scholarly journals Cerebral Small Vessel Disease and Functional Outcome Prediction After Intracerebral Hemorrhage

Neurology ◽  
2021 ◽  
Vol 96 (15) ◽  
pp. e1954-e1965
Author(s):  
Isabel C. Hostettler ◽  
Ghil Schwarz ◽  
Gareth Ambler ◽  
Duncan Wilson ◽  
Gargi Banerjee ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Functional Outcome ◽  
Small Vessel Disease ◽  
Characteristic Curve ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Cortical Atrophy ◽  
Vessel Disease ◽  
Lemeshow Test ◽  
Ich Score

ObjectiveTo determine whether CT-based cerebral small vessel disease (SVD) biomarkers are associated with 6-month functional outcome after intracerebral hemorrhage (ICH) and whether these biomarkers improve the performance of the preexisting ICH prediction score.MethodsWe included 864 patients with acute ICH from a multicenter, hospital-based prospective cohort study. We evaluated CT-based SVD biomarkers (white matter hypodensities [WMH], lacunes, brain atrophy, and a composite SVD burden score) and their associations with poor 6-month functional outcome (modified Rankin Scale score >2). The area under the receiver operating characteristic curve (AUROC) and Hosmer-Lemeshow test were used to assess discrimination and calibration of the ICH score with and without SVD biomarkers.ResultsIn multivariable models (adjusted for ICH score components), WMH presence (odds ratio [OR] 1.52, 95% confidence interval [CI] 1.12–2.06), cortical atrophy presence (OR 1.80, 95% CI 1.19–2.73), deep atrophy presence (OR 1.66, 95% CI 1.17–2.34), and severe atrophy (either deep or cortical) (OR 1.94, 95% CI 1.36–2.74) were independently associated with poor functional outcome. For the revised ICH score, the AUROC was 0.71 (95% CI 0.68–0.74). Adding SVD markers did not significantly improve ICH score discrimination; for the best model (adding severe atrophy), the AUROC was 0.73 (95% CI 0.69–0.76). These results were confirmed when lobar and nonlobar ICH were considered separately.ConclusionsThe ICH score has acceptable discrimination for predicting 6-month functional outcome after ICH. CT biomarkers of SVD are associated with functional outcome, but adding them does not significantly improve ICH score discrimination.Trial Registration InformationClinicalTrials.gov Identifier: NCT02513316.

Abstract P436: Outcomes in Intracerebral Hemorrhage Patients Presenting With Impaired Level of Consciousness

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Ayham Alkhachroum ◽  
Antonio Bustillo ◽  
Negar Asdaghi ◽  
Erika T Marulanda-londono ◽  
Carolina M Gutierrez ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Intracerebral Hemorrhage ◽  
Hospital Mortality ◽  
Early Recovery ◽  
Hospital Size ◽  
Stroke Registry ◽  
Level Of Consciousness ◽  
Chi Squared ◽  
Ich Score ◽  
Gcs Score

Background: Impaired level of consciousness (LOC) on presentation after intracerebral hemorrhage (ICH) may affect outcomes and the decision to withdraw life-sustaining treatment (WLST). We aim to investigate the outcomes and trends after ICH by the LOC status on presentation. Methods: We studied 37,613 cases with ICH in the Florida Stroke Registry from 2010-2019. Pearson chi-squared and Kruskall-Wallis tests were used to compare descriptive statistics. A multivariable-logistic regression with GEE accounted for basic demographics, comorbidities, ICH severity, hospital size and teaching status. Results: At stroke presentation, 12,272 (33%) cases had impaired LOC (mean age 72, 49% women, 61 white%, 20% Black, 14% Hispanic). Compared to cases with preserved LOC, LOC case were older (72 vs. 70 years old), more women (49% vs. 45%), more likely to have aphasia (38% vs. 16%), had lower GCS score (9 vs. 15), had greater ICH score (3 vs. 1), greater WLST rates (41% vs. 18%), and had greater in-hospital mortality rates (32% vs. 12%). In our adjusted model, no association was found between impaired LOC and in-hospital mortality, or length of stay. Those with preserved LOC were more likely discharged home/rehab (OR 0.4, 95%CI 0.2-0.9, p=0.03) and more likely to ambulate independently (OR 1.6, 95%CI 1.1-2.4, p=0.02). Trend analysis (2010-2019) showed decreased mortality, increased length of stay, and increased rates of discharge to home/rehab in all, regardless of the LOC status. Conclusion: In this large multi-center registry, a third of ICH cases presents with impaired LOC. Although LOC was not associated with significantly more in-hospital morality, LOC was associated with had higher rates of WLST and more disability at discharge. Future efforts should focus on biomarkers of LOC that detect early recovery and reduced disability in ICH patients with impaired LOC.

Abstract TP349: Improving Utilization of ICU Care: Change in Intracerebral Hemorrhage Admission Protocol at a Comprehensive Stroke Center

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Parneet Grewal ◽  
Deborah M Lynch ◽  
Anjali Asthana ◽  
Rhea Shrivastava ◽  
James J Conners
Keyword(s):  
Intracerebral Hemorrhage ◽  
External Ventricular Drain ◽  
Admission Rate ◽  
Retrospective Chart Review ◽  
Hematoma Expansion ◽  
Neurosurgical Procedures ◽  
Icu Admission ◽  
Coagulation Abnormalities ◽  
Ich Score ◽  
Gcs Score

Objectives: Non traumatic intracerebral hemorrhage (ICH) is responsible for 10-20% of acute stroke events and carries significant mortality concern. The protocol at our comprehensive stroke centers (CSC) is to admit all ICH patients to Neurosciences Intensive Care Unit (NSICU). We also have a stroke Intermediate Care Unit (IMCU) at our hospital which is a dedicated stroke unit where patients can be closely monitored and maintained on IV nicardipine. Optimal bed utilization is essential at our busy referral center. We aimed to develop criteria to identify ICH patients at low risk for clinical deterioration who could be admitted directly to our IMCU rather than the NSICU thereby improving overall utilization of monitored beds. Methods: Retrospective chart review for patients admitted between July 2018-Dec 2018 was performed. Age, sex, race, presenting Glasgow coma scale (GCS), ICH score, ICH volume, presence of IVH and location of the hemorrhage was documented. Patients who did not need any neurosurgical procedures (external ventricular drain, craniectomy or hematoma evacuation) and were not documented to have acute respiratory failure during their admission were considered appropriate for IMCU admission and were further assessed for hematoma expansion to determine stability throughout their hospital course. Results: 118 patients with ICH were included in the analysis, out of which 61 patients were suitable for IMCU admission. On univariable analysis, patients that had lower ICH scores (0.6±0.7 vs 2.5±0.9) and higher GCS score (14.1±1.4 vs 7.8±3.7) did not need any acute intervention. In this group of patients, only 9 (14.7%) patients had hematoma expansion documented out of which 6 (67%) patients had coagulation abnormalities on admission either due to medications or low platelet count. Conclusions: We conclude that the patients who had admission ICH score < 2, GCS ≥ 12 and no coagulation abnormalities on admission could have safely been admitted to our IMCU instead of the NSICU for further care and management. This would have led to a decrease in ICU admission rate. Application of such separate protocols for stroke IMCU admission vs ICU admission would lead to better utilization of resources at comprehensive stroke centers throughout the country.

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