Assessment of post-thrombectomy brain hemorrhage in acute ischemic stroke with dual-energy CT: how reliable is it in clinical practice?

PURPOSE: Acute ischemic stroke is currently among the main causes of mortality in Western countries. The current guidelines suggest different flowcharts of diagnostic work-up and treatment modalities, including endovascular thrombectomy. Immediately after intra-arterial recanalization, a brain CT scan is usually performed to assess for the presence of peri-procedural complications; in this setting, it is very hard, if possible, to differentiate blood from iodinated contrast material, which is normally present in ischemic tissue because of BBB disruption. Dual-energy CT may be used for this purpose, exploiting its ability to discriminate different materials. MATERIALS AND METHODS: We retrospectively studied 44 patients with acute ischemic stroke who were treated with endovascular recanalization at San Giovanni Bosco Hospital in Turin and were then scanned with DECT technology. Subsequent scan was used as standard, since iodine from contrast staining is usually reabsorbed in 24 h and blood persists longer. A χ2 test of independence was performed to examine the relationship between blood detected by DECT scan after the endovascular procedure and the presence of blood in the same areas on the following scans, with a significant result: χ2 (1, N = 37) = 10.7086, p = 0.0010. RESULTS: Patients with blood detected on DECT scans had a double chance of having hemorrhagic infarction in follow-up scans, (RR 2.02). The sensitivity and specificity of DECT were respectively 70% and 90%, with an overall diagnostic accuracy of 76% and a positive and negative predictive value, respectively, of 95% and 53%. CONCLUSION: Dual-energy CT scan after endovascular recanalization in ischemic stroke identifies early hemorrhagic infarction with excellent specificity and good overall diagnostic accuracy, representing a reliable diagnostic tool in everyday clinical practice.

Disease burden based on gender and age and risk factors for stroke in China, 2019. / 2019å¹´ä¸­å›½è„‘å’ä¸­æ€§åˆ«å’Œå¹´é¾„åˆ«ç–¾ç— è´Ÿæ‹ åŠå ¶å±é™©å› ç´ .

OBJECTIVES: Stroke has become the leading cause of death and disability among adults in China. This study aims to analyze the disease burden based on gender and age and the risk factors for stroke subtypes in China 2019, and to provide reference for targeted stroke prevention and control. METHODS: Based on 2019 data of the Global Burden of Disease (GBD), the gender and age in patients with different stroke subtypes (ischemic stroke, intracranial hemorrhage, subarachnoid hemorrhage) in China 2019 was described by using disability-adjusted life years (DALY), and attributable burden of related risk factors was analyzed. RESULTS: In 2019, the burden of intracranial hemorrhage was the heaviest one in China, resulting in 22.210 6 million person years of DALY, following by ischemic stroke and subarachnoid hemorrhage, resulting in 21.393 9 and 2.344 7 million person years of DALY, respectively. Among them, except the 0-14 age group, the disease burden of different subtypes of stroke in men was higher than that in women. The disease burden of ischemic stroke was increased with age in both men and women, with the heaviest disease burden in ≥70 years group. The disease burden of intracranial hemorrhage and subarachnoid hemorrhage was the heaviest in males aged 50-69 years old, and in females aged ≥70 years and 50-69 years, respectively. Metabolic factors were the main risk factors in all ages of different stroke subtypes, and the most important risk factor was high systolic blood pressure. Other risk factors were different between men and women. Smoking, high body mass index, high low-density lipoprotein, and outdoor particulate matter pollution were the main risk factors for stroke in men, while high body mass index, outdoor particulate matter pollution, and high fasting blood glucose were the main risk factors of stroke in women. The main risk were different among different age groups. CONCLUSIONS: The burden and attributable risk factors for different stroke subtypes are discrepancy in different gender and age groups. Targeted interventions should be conducted in the future to reduce the burden of stroke.

Complication Analysis in Korean Patients With Hemophilia A From 2007 to 2019: A Nationwide Study by the Health Insurance Review and Assessment Service Database.

BACKGROUND: There has been remarkable progress in hemophilia A (HA) treatment in Korea. Viral inactivation products were developed in 1989, use of recombinant factor VIII (FVIII) concentrates started in 2002, and prophylaxis expanded thereafter. This study was conducted to identify the changes in complications in HA before and after 1989 or 2002. METHODS: The study was performed using the 2007-2019 Healthcare Big Data Hub of the Health Insurance Review and Assessment Service. RESULTS: Among 2,557 patients, 1,084 had ≥ 1 complication; 829 had joint problems, 328 had viral infections, 146 had neurologic sequelae, and 87 underwent 113 surgeries or procedures due to complications. Patients born after 1989 had a significantly lower risk of viral infections than those born before 1989; 27.1% vs. 1.4% (P < 0.001, odds ratio [OR], 0.037). Patients born after 2002 had a significantly lower risk of joint problems than those born before 2002; 36.8% vs. 24.7% (P < 0.001, OR, 0.538). Patients born after 2002 had a higher incidence of neurologic sequelae than those born before 2002; 3.7% vs. 11.1% (P < 0.001, OR, 3.210). Medical expenses for complication-associated surgeries or procedures were ₩2,957,557,005. CONCLUSION: Viral infections have significantly decreased in Korean patients with HA. The degree of reduction of joint problems was lower than we expected, because it took > 10 years to expand prophylaxis widely. Neurologic sequelae have not decreased; thus, additional efforts to decrease intracranial hemorrhage are needed. We suggest personalized dosing of FVIII and more meticulous care during childbirth to further reduce the complications.

Advancing edema detection: Harnessing the power of machine learning and near infrared spectroscopy for cerebral and cerebellar edema assessment.

Edema, characterized by brain swelling, is a common response observed in various brain injuries. Timely detection of edema is crucial to mitigate the associated risks and improve patient care. This study evaluates the efficacy of CEREBO®, a non-invasive machine learning-powered near-infrared spectroscopy (mNIRS) based device, in detecting edema. The study was conducted on 234 participants with suspected head injuries who underwent simultaneous CEREBO® scans and CT head scans. The results of the study showed that CEREBO® effectively identified edematous lobes, achieving a sensitivity of 95.7%, specificity of 97%, and accuracy of 96.9% for cases with intracranial hemorrhage (ICH). Additionally, for cases without ICH, the device exhibited a sensitivity of 100%, specificity of 97.2%, and accuracy of 97.2%. Two cases were reported where CEREBO® failed to detect edematous ICH. The study highlights the potential of CEREBO® as a valuable tool for early detection of pre-symptomatic edema and ICH, enabling timely interventions and improved patient care. The findings support the reliability of near-infrared spectroscopy as a diagnostic modality for edema.

Predictive validity of the All Patients Refined Diagnosis Related Group modifiers for costs and outcomes from intracranial hemorrhage.

OBJECTIVE: The All Patients Refined Diagnosis Related Group (APR-DRG) modifiers-severity of illness (SOI) and risk of mortality (ROM)-inform hospital reimbursement nationally. The ubiquitous APR-DRG data bear the potential to inform public health research; however, the algorithms that generate these modifiers are proprietary and therefore should be independently verified. This study evaluated the predictive value of APR-DRG modifiers for the outcomes and costs of intracranial hemorrhage. METHODS: The New York Statewide Planning and Research Cooperative System databases were accessed and searched for the intracranial hemorrhage Diagnosis Related Group in records from 2012 to 2020. Receiver operating characteristic and multiple logistic regressions characterized the predictive validity of the APR-DRG modifiers for patient outcomes. One-way ANOVA compared costs and charges between SOI and ROM designations. RESULTS: Among 46,019 patients, 12,627 (27.4%) died. The mean ± SEM costs per patient were $21,342 ± $145 and the mean ± SEM charges per patient were $68,117 ± $408. For prediction of mortality, the area under the curve (AUC) was 0.74 for SOI and 0.83 for ROM. For prediction of discharge to a facility, AUC was 0.62 for SOI and 0.64 for ROM. Regression analysis showed that ROM was a strong predictor of mortality, while SOI was a weak predictor; both were modest predictors of discharge to a facility. SOI and ROM were significant predictors of costs and charges. CONCLUSIONS: Compared with the prior studies, the authors identified several limitations of APR-DRG modifiers, including low specificity, modest AUC, and limited outcomes prediction. This report supports the limited use of APR-DRG modifiers in independent research on intracranial hemorrhage epidemiology and reimbursement and advocates for general caution in their use for evaluation of neurosurgical disease.

Rehemorrhage of brainstem cavernous malformations: a benchmark approach to individualized risk and severity assessment.

OBJECTIVE: Brainstem cavernous malformations (BSCMs) represent a unique subgroup of cavernous malformations with more hemorrhagic presentation and technical challenges. This study aimed to provide individualized assessment of the rehemorrhage clustering risk of BSCMs after the first symptomatic hemorrhage and to identify patients at higher risk of neurological deterioration after new hemorrhage, which would help in clinical decision-making. METHODS: A total of 123 consecutive BSCM patients with symptomatic hemorrhage were identified between 2015 and 2022, with untreated follow-up > 12 months or subsequent hemorrhage during the untreated follow-up. Nomograms were proposed to individualize the assessment of subsequent hemorrhage risk and neurological status (determined by the modified Rankin Scale [mRS] score) after future hemorrhage. The least absolute shrinkage and selector operation (LASSO) regression was used for feature screening. The calibration curve and concordance index (C-index) were used to assess the internal calibration and discrimination performance of the nomograms. Cross-validation was further performed to validate the accuracy of the nomograms. RESULTS: Prior hemorrhage times (adjusted OR [aOR] 6.78 per ictus increase) and Zabramski type I or V (OR 11.04) were associated with rehemorrhage within 1 year. A lower mRS score after previous hemorrhage (aOR 0.38 for a shift to a higher mRS score), Zabramski type I or V (OR 3.41), medulla or midbrain location (aOR 2.77), and multiple cerebral cavernous malformations (aOR 11.76) were associated with worsened neurological status at subsequent hemorrhage. The nomograms showed good accuracy and discrimination, with a C-index of 0.80 for predicting subsequent hemorrhage within 1 year and 0.71 for predicting neurological status after subsequent hemorrhage, which were maintained in cross-validation. CONCLUSIONS: An individualized approach to risk and severity assessment of BSCM rehemorrhage was feasible with clinical and imaging features.

Costs and Healthcare Resource Utilization Associated with Idarucizumab or Andexanet Alfa Oral Anticoagulant Reversal in Patients Hospitalized with Life-Threatening Bleeds.

Purpose: To assess costs and healthcare resource utilization (HCRU) associated with the use of idarucizumab for the reversal of dabigatran and andexanet alfa for the reversal of direct oral Factor Xa inhibitors. Methods: This retrospective study utilizing Premier Healthcare Database (PHD) included patients aged ≥18 years on direct oral anticoagulants (DOACs) who experienced life-threatening bleeds, discharged from the hospital during 5/1/2018-6/30/2019, and received idarucizumab or andexanet alfa. Inverse of treatment probability weighting (IPTW) method was used to balance patient and clinical characteristics between treatment cohorts. Results: Idarucizumab patients were older than andexanet alfa patients (median age 81 vs 77 years; p < 0.001), and less likely to experience intracranial hemorrhage (ICH) (37.1%vs 73.8%; p = 0.001). After IPTW adjustment, idarucizumab patients incurred lower mean total hospital costs ($30,413 ± $33,028 vs $44,477 ± $30,036; p < 0.001),and mean intensive care unit (ICU) cost ($25,114 ± $30,433 vs $43,484 ± $29,335; p < 0.001). Conclusions: Anticoagulant reversal therapy with idarucizumab was associated with significantly lower adjusted mean total hospital and ICU costs compared with andexanet alfa. However, a higher prevalence of ICH bleeds was noted in the andexanet alfa group. Trial Registration: Not applicable.

Hospital costs associated with adverse events in people with diabetes in the UK.

AIM: To estimate the annual hospital costs associated with a range of adverse events for people with diabetes in the UK. METHODS: Annual hospital costs (2019/2020) were derived from 15 436 ASCEND participants from 2005 to 2017 (120 420 person-years). The annual hospital costs associated with cardiovascular events (myocardial infarction, coronary revascularization, transient ischaemic attack [TIA], ischaemic stroke, heart failure), bleeding (gastrointestinal [GI] bleed, intracranial haemorrhage, other major bleed), cancer (GI tract cancer, non-GI tract cancer), end-stage renal disease (ESRD), lower limb amputation and death (vascular, non-vascular) were estimated using a generalized linear model following adjustment for participants' sociodemographic and clinical factors. RESULTS: In the year of event, ESRD was associated with the largest increase in annual hospital cost (£20 954), followed by lower limb amputation (£17 887), intracranial haemorrhage (£12 080), GI tract cancer (£10 160), coronary revascularization (£8531 if urgent; £8302 if non-urgent), heart failure (£8319), non-GI tract cancer (£7409), ischaemic stroke (£7170), GI bleed (£5557), myocardial infarction (£4913), other major bleed (£3825) and TIA (£1523). In subsequent years, most adverse events were associated with lasting but smaller increases in hospital costs, except for ESRD, where the additional cost remained high (£20 090). CONCLUSIONS: Our study provides robust estimates of annual hospital costs associated with a range of adverse events in people with diabetes that can inform future cost-effectiveness analyses of diabetes interventions. It also highlights the potential cost savings that could be derived from prevention of these costly complications.

Significant venous flow alterations following brain arteriovenous malformation Surgery: Assessment by transcranial colour duplex.

Brain arteriovenous malformation (bAVM) resection imposes several post-operative clinical challenges including intracranial haemorrhage (ICH). Daily non-invasive monitoring of haemodynamic measurements may be useful in predicting post-operative ICH. This prospective study used transcranial colour duplex (TCCD) and central aortic pressure (CAP) measurements to evaluate 15 bAVM patients pre-operatively and daily ≤ 14 days post-operatively. TCCD measurements of middle cerebral artery and veins included peak systolic (PSV), end diastolic (EDV), and pulsatility indices (PI). Parameters were compared with 7 craniotomy patients (non-bAVM craniotomy/surgical group). Normal reference values included 20 healthy volunteers. Significant middle cerebral vein MCV changes in bAVM patients occurred; Maximal PSV was significantly higher (median 47 cm/s) compared to non-bAVM craniotomy/surgical controls (median 17 cm/s, p = 0.0123); maximal PI was significantly higher (median 0.99, p = 0.005) compared to the non-bAVM craniotomy/surgical controls (median 0.49). In 8 of 15 patients, increased MCV velocity and pulsatility "stabilised" within 14 days post-operatively. Mean number of days for the 8 patients to reach stable state was 5.9 days, (range 0-9 days). To our knowledge, this is the first imaging study demonstrating significant venous changes post bAVM resection. Significant increased venous flow occurs in pial veins bilaterally. Increased pressure of venous flow is evidenced by a significant increase in diameter and pulsatility. Subsequently, haemorrhagic complications may be due distal constriction of the pial veins causing venous hypertension. The cause of the dilated vascular bed is unknown.

Prevalence, management, and outcomes of haemorrhagic events in left ventricular assist device recipients.

AIMS: Left ventricular assist devices (LVADs) have reduced the mortality of patients with advanced heart failure both as bridge-to-transplant and as destination therapy. However, LVADs are associated with various complications, including bleedings, which affect the prognosis. The aim of the study was to explore the prevalence, management, and outcomes of haemorrhagic adverse events in LVAD recipients. METHODS AND RESULTS: We conducted a retrospective, single-centre, cohort study including all patients who received an LVAD from January 2008 to December 2019 in our tertiary centre (Rangueil University Hospital, Toulouse, France). Bleeding events, death, and heart transplantation were collected from electronic medical files. Eighty-eight patients were included, and 43 (49%) presented at least one bleeding event. Gastrointestinal (GI) bleeding was the most frequent (n = 21, 24%), followed by epistaxis (n = 12, 14%) and intracranial haemorrhage (n = 9, 10%). Bleeding events were associated with increased mortality [hazard ratio (HR) 3.8, 95% confidence interval (CI) 1.5-9.3, P < 0.01], particularly in case of intracranial haemorrhage (HR 14.6, 95% CI 4.2-51.1, P < 0.0001). GI bleedings were associated with a trend towards increased mortality (HR 3.0, 95% CI 0.9-9.3, P = 0.05). Each bleeding episode multiplied the risk of death by 1.8 (95% CI 1.2-2.7, P < 0.01). Finally, only early bleedings (<9 months post-implantation) had an impact on mortality (HR 4.2, 95% CI 1.6-11.1, P < 0.01). Therapeutic management was mainly based on temporary interruption of anticoagulation and permanent interruption of antiplatelet therapy. Invasive management was rarely performed. CONCLUSIONS: Haemorrhagic events in LVAD recipients are frequent and associated with increased mortality. GI bleedings are the most frequent, and intracranial haemorrhages the most associated with mortality. Management remains empirical requiring more research.

Cost-effectiveness of andexanet alfa versus four-factor prothrombin complex concentrate for the treatment of oral factor Xa inhibitor-related intracranial hemorrhage in the US.

AIM: To conduct a cost-effectiveness analysis (CEA) on the use of andexanet alfa for the treatment of factor Xa inhibitor-related intracranial hemorrhage (ICH) from the US third-party payer and societal perspectives. METHODS: CEA compared andexanet alfa to prothrombin complex concentrate for the treatment of patients receiving factor Xa inhibitors admitted to hospital inpatient care with an ICH. The model comprised two linked phases. Phase 1 utilized a decision tree to model the acute treatment phase (admission of a patient with ICH into intensive care for the first 30 days). Phase 2 modeled long-term costs and outcomes using three linked Markov models comprising the six health states defined by the modified Rankin score. RESULTS: The analysis showed that the strategy of using andexanet alfa for the treatment of factor Xa inhibitor-related ICH is cost-effective, with incremental cost-effectiveness per quality-adjusted life-year gained of $35,872 from a third-party payer perspective and $40,997 from a societal perspective over 20 years. LIMITATIONS: (1) Absence of head-to-head trials comparing therapies included in the economic model, (2) lack of comparative long-term data on treatment efficacy, and (3) bias resulting from the study designs of published literature. CONCLUSION: Given these results, the use of andexanet alfa for the reversal of anticoagulation in patients with factor Xa inhibitor-related ICH may improve quality of life and is likely to be cost-effective in a US context.

Text Analysis of Radiology Reports with Signs of Intracranial Hemorrhage on Brain CT Scans Using the Decision Tree Algorithm.

The aim of the study is to create, train, and test the algorithm for the analysis of brain CT text reports using a decision tree model to solve the task of simple binary classification of presence/absence of intracranial hemorrhage (ICH) signs. Materials and Methods: The initial data is a download from the Unified Radiological Information Service of the Unified Medical Information and Analytical System (URIS UMIAS) containing 34,188 studies obtained by a non-contrast CT of the brain in 56 inpatient medical settings. Data analysis and preprocessing were carried out using NLTK (Natural Language Toolkit, version 3.6.5), a library for symbolic and statistical processing of natural language, and scikit-learn, a machine learning library containing tools for classification tasks. According to 14 selected ICH-related key words, as well as 33 stop-phrases with key words denoting absence of ICH, an automatic selection of the CT investigations and their subsequent expert verification were carried out. Two classes of investigations were formed based on the sample from 3980 protocol descriptions: containing descriptions of ICH and without them. The problem of binary classification was solved using the decision tree algorithm as a model. To evaluate the performance of the model, the CT investigations were divided randomly into samples in the ratio of 7:3. Of 3980 protocols, 2786 were assigned to the training data set, 1194 - to the test one. Results: According to the test results, the designed and trained algorithm in the binary classification of the CT reports "with signs of ICH" and "without signs of ICH" has shown sensitivity of 0.94, specificity of 0.88, F-score of 0.83. Conclusion: The developed and trained algorithm for the analysis of radiology reports has demonstrated high accuracy in relation to brain CT with signs of intracranial hemorrhage and can be used to solve binary classification problems and create appropriate data sets. However, it is limited by the need for manual revision of CT studies to ensure quality control.

Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model.

Background Atrial fibrillation (AF) screening is endorsed by certain guidelines for individuals aged ≥65 years. Yet many AF screening strategies exist, including the use of wrist-worn wearable devices, and their comparative effectiveness is not well-understood. Methods and Results We developed a decision-analytic model simulating 50 million individuals with an age, sex, and comorbidity profile matching the United States population aged ≥65 years (ie, with a guideline-based AF screening indication). We modeled no screening, in addition to 45 distinct AF screening strategies (comprising different modalities and screening intervals), each initiated at a clinical encounter. The primary effectiveness measure was quality-adjusted life-years, with incident stroke and major bleeding as secondary measures. We defined continuous or nearly continuous modalities as those capable of monitoring beyond a single time-point (eg, patch monitor), and discrete modalities as those capable of only instantaneous AF detection (eg, 12-lead ECG). In total, 10 AF screening strategies were effective compared with no screening (300-1500 quality-adjusted life-years gained/100 000 individuals screened). Nine (90%) effective strategies involved use of a continuous or nearly continuous modality such as patch monitor or wrist-worn wearable device, whereas 1 (10%) relied on discrete modalities alone. Effective strategies reduced stroke incidence (number needed to screen to prevent a stroke: 3087-4445) but increased major bleeding (number needed to screen to cause a major bleed: 1815-4049) and intracranial hemorrhage (number needed to screen to cause intracranial hemorrhage: 7693-16 950). The test specificity was a highly influential model parameter on screening effectiveness. Conclusions When modeled from a clinician-directed perspective, the comparative effectiveness of population-based AF screening varies substantially upon the specific strategy used. Future screening interventions and guidelines should consider the relative effectiveness of specific AF screening strategies.

Decision tree analysis to predict the risk of intracranial haemorrhage after mild traumatic brain injury in patients taking DOACs.

BACKGROUND: Although the preliminary evidence seems to confirm a lower incidence of post-traumatic bleeding in patients treated with direct oral anticoagulants (DOACs) compared to those on vitamin K antagonists (VKAs), the recommended management of mild traumatic brain injury (MTBI) in patients on DOACs is the same as those on the older VKAs, risking excessive use of CT in the emergency department (ED). AIM: To determine which easily identifiable clinical risk factors at the first medical evaluation in the ED may indicate an increased risk of post-traumatic intracranial haemorrhage (ICH) in patients on DOACs with MTBI. METHODS: Patients on DOACs who were evaluated in the ED for an MTBI from 2016 to 2020 at four centres in Northern Italy were considered. A decision tree analysis using the chi-square automatic interaction detection (CHAID) method was conducted to assess the risk of post-traumatic ICH after an MTBI. Known pre- and post-traumatic clinical risk factors that are easily identifiable at the first medical evaluation in the ED were used as input predictor variables. RESULTS: Among the 1146 patients on DOACs in this study, post-traumatic ICH was present in 6.5% (75/1146). Decision tree analysis using the CHAID method found post-traumatic TLOC, post-traumatic amnesia, major trauma dynamic, previous neurosurgery and evidence of trauma above the clavicles to be the strongest predictors associated with the presence of post-traumatic ICH in patients on DOACs. The absence of a concussion seems to indicate subgroups at very low risk of requiring neurosurgery. CONCLUSIONS: The machine-based CHAID model identified distinct prognostic groups of patients with distinct outcomes based on clinical factors. Decision trees can be useful as guides for patient selection and risk stratification.

SARS-CoV-2 and Stroke Characteristics: A Report From the Multinational COVID-19 Stroke Study Group.

[Figure: see text].

Assessment of an Artificial Intelligence Algorithm for Detection of Intracranial Hemorrhage.

BACKGROUND: Immediate and accurate detection of intracranial hemorrhages (ICHs) is essential to provide a good clinical outcome for patients with ICH. Artificial intelligence has the potential to provide this, but the assessment of these methods needs to be investigated in depth. This study aimed to assess the ability of Canon's AUTOStroke Solution ICH detection algorithm to accurately identify patients both with and without ICHs present. METHODS: Data from 200 ICH and 102 non-ICH patients who presented with stroke-like symptoms between August 2016 and December 2019 were collected retrospectively. Patients with ICH had at least one of the following hemorrhage types: intraparenchymal (n = 181), intraventricular (n = 45), subdural (n = 13), or subarachnoid (n = 19). Noncontrast computed tomography scans were analyzed for each patient using Canon's AUTOStroke Solution ICH algorithm to determine which slices contained hemorrhage. The algorithm's ability to detect ICHs was assessed using sensitivity, specificity, positive predictive value, and negative predictive value. Percentages of cases correctly identified as ICH positive and negative were additionally calculated. RESULTS: Automated analysis demonstrated the following metrics for identifying hemorrhage slices within all 200 patients with ICH (95% confidence intervals): sensitivity = 0.93 ± 0.03, specificity = 0.93 ± 0.01, positive predictive value = 0.85 ± 0.02, and negative predictive value = 0.98 ± 0.01. A total of 95% (245 of 258) of ICH volumes were correctly triaged, whereas 88.2% (90 of 102) of non-ICH cases were correctly classified as ICH negative. CONCLUSIONS: Canon's AUTOStroke Solution ICH detection algorithm was able to accurately detect intraparenchymal, intraventricular, subdural, and subarachnoid hemorrhages in addition to accurately determine when an ICH was not present. Having this automated ICH detection method could drastically improve treatment times for patients with ICH.

Repeat head computed tomography for anticoagulated patients with an initial negative scan is not cost-effective.

BACKGROUND: Patients on antithrombotic medications presenting with blunt trauma are at risk for delayed intracranial hemorrhage. We hypothesized that clinically significant delayed intracranial hemorrhage is rare in patients presenting on antithrombotic medications and therefore routine, repeat head computed tomography imaging is not a cost-effective practice to monitor for delayed intracranial hemorrhage. METHODS: Patients presenting to our institution on antithrombotic (anticoagulant and antiplatelet) medications during a 5-y period from January 2014 through March 2019 who underwent a head computed tomography for blunt trauma were identified in our trauma registry. Patients with an initial negative head computed tomography underwent repeat imaging 6 h after their initial head computed tomography. Patient demographics, antithrombotic medication, international normalized ratio, Glasgow Coma Score, clinical change in neurologic status, and need for neurosurgical intervention were collected. RESULTS: Our institution evaluated 1,676 patients on antithrombotic therapy with blunt trauma. The initial head computed tomography was negative in 1,377 patients (82.0%). Of those with an initial negative head computed tomography, 12 patients (0.9%) developed an intracranial hemorrhage that was identified on the second head computed tomography. Delayed intracranial hemorrhage included 6 patients with intraventricular hemorrhage, 3 with subdural hematoma, 2 with subarachnoid hemorrhage, and 1 with an intraparenchymal hemorrhage. None of the patients with delayed intracranial hemorrhage developed a change in neurologic status, required an intracranial pressure monitor, or underwent neurosurgical intervention. The estimated total direct cost of the negative head computed tomography scans was $926,247. CONCLUSION: Clinically significant delayed intracranial hemorrhage is rare in trauma patients on antithrombotic therapy, with an initial negative head computed tomography. Routine repeat head computed tomography imaging in patients with a negative scan on admission is not cost-effective.

Effect of Insurance Status on Outcomes of Acute Ischemic Stroke Patients Receiving Intra-Arterial Treatment: Results from the Paul Coverdell National Acute Stroke Program.

BACKGROUND: Stroke continues to be a leading cause of death and disability in the United States. Rates of intra-arterial reperfusion treatments (IAT) for acute ischemic stroke (AIS) are increasing, and these treatments are associated with more favorable outcomes. We sought to examine the effect of insurance status on outcomes for AIS patients receiving IAT within a multistate stroke registry. METHODS: We used data from the Paul Coverdell National Acute Stroke Program (PCNASP) from 2014 to 2019 to quantify rates of IAT (with or without intravenous thrombolysis) after AIS. We modeled outcomes based on insurance status: private, Medicare, Medicaid, or no insurance. Outcomes were defined as rates of discharge to home, in-hospital death, symptomatic intracranial hemorrhage (sICH), or life-threatening hemorrhage during hospitalization. RESULTS: During the study period, there were 486,180 patients with a clinical diagnosis of AIS (mean age 70.6 years, 50.3% male) from 674 participating hospitals in PCNASP. Only 4.3% of patients received any IAT. As compared to private insurance, uninsured patients receiving any IAT were more likely to experience in-hospital death (AOR 1.36 [95% CI 1.07-1.73]). Medicare (AOR 0.78 [95% CI 0.71-0.85]) and Medicaid (AOR 0.85 [95% CI 0.75-0.96]) beneficiaries were less likely but uninsured patients were more likely (AOR 1.90 [95% CI 1.61-2.24]) to be discharged home. Insurance status was not found to be independently associated with rates of sICH. CONCLUSIONS: Insurance status was independently associated with in-hospital death and discharge to home among AIS patients undergoing IAT.

Economic Evaluation of Andexanet Versus Prothrombin Complex Concentrate for Reversal of Factor Xa-Associated Intracranial Hemorrhage.

[Figure: see text].