Purpose Rapid identification of hematoma expansion (HE) risk at baseline is a priority in intracerebral hemorrhage (ICH) patients and may impact clinical decision making. Predictive scores using clinical features and Non-Contract Computed Tomography (NCCT)-based features exist, however, the extent to which each feature set contributes to identification is limited. This paper aims to investigate the relative value of clinical, radiological, and radiomics features in HE prediction. Methods Original data was retrospectively obtained from three major prospective clinical trials [“Spot Sign” Selection of Intracerebral Hemorrhage to Guide Hemostatic Therapy (SPOTLIGHT)NCT01359202; The Spot Sign for Predicting and Treating ICH Growth Study (STOP-IT)NCT00810888] Patients baseline and follow-up scans following ICH were included. Clinical, NCCT radiological, and radiomics features were extracted, and multivariate modeling was conducted on each feature set. Results 317 patients from 38 sites met inclusion criteria. Warfarin use (p=0.001) and GCS score (p=0.046) were significant clinical predictors of HE. The best performing model for HE prediction included clinical, radiological, and radiomic features with an area under the curve (AUC) of 87.7%. NCCT radiological features improved upon clinical benchmark model AUC by 6.5% and a clinical & radiomic combination model by 6.4%. Addition of radiomics features improved goodness of fit of both clinical (p=0.012) and clinical & NCCT radiological (p=0.007) models, with marginal improvements on AUC. Inclusion of NCCT radiological signs was best for ruling out HE whereas the radiomic features were best for ruling in HE. Conclusion NCCT-based radiological and radiomics features can improve HE prediction when added to clinical features.
Preadmission Antiplatelet Use and Associated Outcomes and Costs Among ICU Patients With Intracranial Hemorrhage
Introduction: Patients with intracranial hemorrhage (including intracerebral hemorrhage, subarachnoid hemorrhage, and traumatic hemorrhage) are commonly admitted to the intensive care unit (ICU). Although indications for oral antiplatelet agents are increasing, the impact of preadmission use on outcomes in patients with intracranial hemorrhage admitted to the ICU is unknown. We sought to evaluate the association between preadmission oral antiplatelet use, in-hospital mortality, resource utilization, and costs among ICU patients with intracranial hemorrhage. Methods: We retrospectively analyzed a prospectively collected registry (2011-2016) and included consecutive adult patients from 2 hospitals admitted to ICU with intracranial hemorrhage. Patients were categorized on the basis of preadmission oral antiplatelet use. We excluded patients with preadmission anticoagulant use. The primary outcome was in-hospital mortality and was analyzed using a multivariable logistic regression model. Contributors to total hospital cost were analyzed using a generalized linear model with log link and gamma distribution. Results: Of 720 included patients with intracranial hemorrhage, 107 (14.9%) had been using an oral antiplatelet agent at the time of ICU admission. Oral antiplatelet use was not associated with in-hospital mortality (adjusted odds ratio: 1.31 [95% confidence interval [CI]: 0.93-2.22]). Evaluation of total costs also revealed no association with oral antiplatelet use (adjusted ratio of means [aROM]: 0.92 [95% CI: 0.82-1.02, P = .10]). Total cost among patients with intracranial hemorrhage was driven by illness severity (aROM: 1.96 [95% CI: 1.94-1.98], P < .001), increasing ICU length of stay (aROM: 1.05 [95% CI: 1.05-1.06], P < .001), and use of invasive mechanical ventilation (aROM: 1.76 [95% CI: 1.68-1.86], P < .001). Conclusions: Among ICU patients admitted with intracranial hemorrhage, preadmission oral antiplatelet use was not associated with increased in-hospital mortality or hospital costs. These findings have important prognostic implications for clinicians who care for patients with intracranial hemorrhage.
Outcomes and Costs of Patients Admitted to the ICU Due to Spontaneous Intracranial Hemorrhage
Objectives: Spontaneous intracranial hemorrhage, including subarachnoid hemorrhage and intracerebral hemorrhage, is associated with significant morbidity and mortality. Although many of these patients will require ICU admission, little is known regarding their outcomes and the costs incurred. We evaluated this population in order to identify outcomes and cost patterns. Design: Retrospective cohort analysis of a health administrative database. Setting: Two ICUs within a single hospital system. Patients: Eight-thousand four-hundred forty-seven patients admitted to ICU from 2011 to 2014, of whom 332 had a diagnosis of spontaneous intracranial hemorrhage. Control patients were defined as randomly selected age, sex, and comorbidity index–matched nonintracranial hemorrhage ICU patients (1:4 matching ratio). Interventions: None. Measurements and Main Results: Mean age of ICU intracranial hemorrhage patients was 60.1 years, and 120 (36.1%) died prior to discharge. Intracranial hemorrhage was associated with a mean total cost of $75,869, compared with $52,471 in control patients (p < 0.01). Mean cost per survivor of intracranial hemorrhage patients was $118,813. Subarachnoid hemorrhage was associated with significantly higher mean total costs than intracerebral hemorrhage ($92,794 vs $53,491; p < 0.01) and higher mean cost per day ($4,377 vs $3,604; p < 0.01). Patients with intracranial hemorrhage who survived to hospital discharge were significantly costlier than decedents ($100,979 vs $30,872; p < 0.01). Intracranial hemorrhage associated with oral anticoagulant use had a mean total cost of $152,373, compared with $66,548 in nonoral anticoagulant intracranial hemorrhage (p < 0.01). Conclusions: Patients admitted to ICU with intracranial hemorrhage have high costs and high mortality, leading to elevated cost per survivor. Subarachnoid hemorrhage patients incur greater costs than intracerebral hemorrhage patients, and oral anticoagulant–associated intracerebral hemorrhage is particularly costly. Our findings provide novel information regarding financial impact of this common ICU population.
The Non‐Inferiority Margins in Migraine Research (
NIMM
) Survey
Objectives To survey experts in Headache Medicine on their opinions regarding appropriate non‐inferiority margins for outcomes commonly used in migraine research. Methods Members of the American Headache Society and the Canadian Headache Society were invited to participate in the Non‐Inferiority Margins in Migraine Research (NIMM) survey. Adult and child neurologists with expertise in Headache Medicine were eligible to participate. The survey had a multiple choice format and comprised questions on respondent characteristics, eligibility, as well as expert opinion on non‐inferiority margins for outcomes commonly used in trials of both prophylactic and acute interventions for migraine. Results Ninety‐nine eligible respondents completed the survey. Most respondents were adult neurologists (84.9%) and 74% reported practicing in the USA. The following were the most commonly selected non‐inferiority margins: (1) change in monthly migraine attacks comparing baseline to the treatment period: 1 attack (39.4% selecting), (2) change in monthly migraine days comparing baseline to the treatment period: 1 day (44.4%), (3) change in average migraine intensity on a 4‐point scale comparing baseline to the treatment period: 1.0 (31.3%), (4) percentage of participants who are pain‐free 2 hours after the intervention: 5% (41.4%), (5) percentage of participants who have a migraine recurrence within 48 hours of treatment: 5% (42.4%), and (6) percentage of participants with sustained pain freedom: 5% (42.4%). Conclusions The results of the NIMM survey describe the opinions of a group of experts on appropriate non‐inferiority margins for outcomes commonly used in migraine clinical trials. There was significant variability in responses and lack of consensus on the choice of non‐inferiority margins. The survey did not incorporate the patient perspective and was not validated prior to distribution. Further work in this area is required in order to explore how to incorporate clinical considerations into the selection of non‐inferiority margins for migraine research.