Objective
The aim was to investigate whether intensive blood pressure treatment is associated with less hematoma growth and better outcome in intracerebral hemorrhage (ICH) patients who received ...intravenous nicardipine treatment ≤2 hours after onset of symptoms.
Methods
A post‐hoc exploratory analysis of the Antihypertensive Treatment of Acute Cerebral Hemorrhage 2 (ATACH‐2) trial was performed. This was a multicenter, international, open‐label, randomized clinical trial, in which patients with primary ICH were allocated to intensive versus standard blood pressure treatment with nicardipine ≤4.5 hours after onset of symptoms. We have included 913 patients with complete imaging and follow‐up data in the present analysis.
Results
Among the 913 included patients, 354 (38.7%) had intravenous nicardipine treatment initiated within 2 hours. In this subgroup of patients treated within 2 hours, the frequency of ICH expansion was significantly lower in the intensive blood pressure reduction group compared with the standard treatment group (p = 0.02). Multivariable analysis showed that ultra‐early intensive blood pressure treatment was associated with a decreased risk of hematoma growth (odds ratio, 0.56; 95% confidence interval CI, 0.34–0.92; p = 0.02), higher rate of functional independence (odds ratio, 2.17; 95% CI, 1.28–3.68; p = 0.004), and good outcome (odds ratio, 1.68; 95% CI, 1.01–2.83; p = 0.048) at 90 days. Ultra‐early intensive blood pressure reduction was associated with a favorable shift in modified Rankin Scale score distribution at 3 months (p = 0.04).
Interpretation
In a subgroup of ICH patients with elevated blood pressure given intravenous nicardipine ≤2 hours after onset of symptoms, intensive blood pressure reduction was associated with reduced hematoma growth and improved functional outcome. ANN NEUROL 2020;88:388–395.
Summary Driven by innovative technologies, novel analytical methods, and collaborations unimaginable not long ago, our understanding of the role of genetic variation in stroke has advanced ...substantially in recent years. However, a vast amount of data have accumulated quickly, and increasingly complex methodologies used in studies make keeping up to date on relevant findings difficult. In addition to well known, highly penetrant rare mutations that cause mendelian disorders related to stroke, several common genetic variants have been associated with common stroke subtypes, some of which also affect disease severity and clinical outcome. Furthermore, common genetic variations in biological pathways that have an important role in the pathophysiology of cerebrovascular diseases—such as blood pressure and oxidative phosphorylation—have been implicated in stroke. Clinical and translational applications of these and future discoveries in stroke genetics include identification of novel targets for treatment and development of personalised approaches to stroke prevention and management.
The use of artificial intelligence (AI) has grown dramatically in the past few years in the United States and worldwide, with more than 300 AI-enabled devices approved by the U.S. Food and Drug ...Administration (FDA). Most of these AI-enabled applications focus on helping radiologists with detection, triage, and prioritization of tasks by using data from a single point, but clinical practice often encompasses a dynamic scenario wherein physicians make decisions on the basis of longitudinal information. Unfortunately, benchmark data sets incorporating clinical and radiologic data from several points are scarce, and, therefore, the machine learning community has not focused on developing methods and architectures suitable for these tasks. Current AI algorithms are not suited to tackle key image interpretation tasks that require comparisons to previous examinations. Focusing on the curation of data sets and algorithm development that allow for comparisons at different points will be required to advance the range of relevant tasks covered by future AI-enabled FDA-cleared devices.
BACKGROUND:Anecdotal reports suggest fewer patients with stroke symptoms are presenting to hospitals during the coronavirus disease 2019 (COVID-19) pandemic. We quantify trends in stroke code calls ...and treatments at 3 Connecticut hospitals during the local emergence of COVID-19 and examine patient characteristics and stroke process measures at a Comprehensive Stroke Center (CSC) before and during the pandemic.
METHODS:Stroke code activity was analyzed from January 1 to April 28, 2020, and corresponding dates in 2019. Piecewise linear regression and spline models identified when stroke codes in 2020 began to decline and when they fell below 2019 levels. Patient-level data were analyzed in February versus March and April 2020 at the CSC to identify differences in patient characteristics during the pandemic.
RESULTS:A total of 822 stroke codes were activated at 3 hospitals from January 1 to April 28, 2020. The number of stroke codes/wk decreased by 12.8/wk from February 18 to March 16 (P=0.0360) with nadir of 39.6% of expected stroke codes called from March 10 to 16 (30% decrease in total stroke codes during the pandemic weeks in 2020 versus 2019). There was no commensurate increase in within-network telestroke utilization. Compared with before the pandemic (n=167), pandemic-epoch stroke code patients at the CSC (n=211) were more likely to have histories of hypertension, dyslipidemia, coronary artery disease, and substance abuse; no or public health insurance; lower median household income; and to live in the CSC city (P<0.05). There was no difference in age, sex, race/ethnicity, stroke severity, time to presentation, door-to-needle/door-to-reperfusion times, or discharge modified Rankin Scale.
CONCLUSIONS:Hospital presentation for stroke-like symptoms decreased during the COVID-19 pandemic, without differences in stroke severity or early outcomes. Individuals living outside of the CSC city were less likely to present for stroke codes at the CSC during the pandemic. Public health initiatives to increase awareness of presenting for non-COVID-19 medical emergencies such as stroke during the pandemic are critical.
The role of lipids in spontaneous, nontraumatic intracerebral haemorrhage (ICH) remains controversial, as some studies suggest that lower levels of total and LDL cholesterol could increase the risk ...of this disease. Because of their random assortment during meiosis, genetic variants known to associate with lipid levels can be used as instruments to evaluate this relationship from a causal perspective. The purpose of this review is to summarize the existing literature related to genetically determined LDL cholesterol levels and risk of ICH.
A number of studies have demonstrated that lower LDL levels are associated with a higher risk of ICH and a higher burden of neuroimaging markers of cerebral small vessel disease, such as microbleeds and white matter hyperintensity volume. As for genetically elevated lipid levels, several studies confirmed an inverse association between LDL levels and ICH. However, a number of observational studies and large meta-analyses of clinical trials of statins have failed to show such association.
Observational studies and clinical trials of statins have yielded inconsistent results regarding a possible link between LDL levels and the risk of ICH. Genetic studies focused on genetically elevated LDL levels and risk of ICH have, for the most, found an inverse association.
IMPORTANCE: Neuroimaging is a key step in the clinical evaluation of brain injury. Conventional magnetic resonance imaging (MRI) systems operate at high-strength magnetic fields (1.5-3 T) that ...require strict, access-controlled environments. Limited access to timely neuroimaging remains a key structural barrier to effectively monitor the occurrence and progression of neurological injury in intensive care settings. Recent advances in low-field MRI technology have allowed for the acquisition of clinically meaningful imaging outside of radiology suites and in the presence of ferromagnetic materials at the bedside. OBJECTIVE: To perform an assessment of brain injury in critically ill patients in intensive care unit settings, using a portable, low-field MRI device at the bedside. DESIGN, SETTING, AND PARTICIPANTS: This was a prospective, single-center cohort study of 50 patients admitted to the neuroscience or coronavirus disease 2019 (COVID-19) intensive care units at Yale New Haven Hospital in New Haven, Connecticut, from October 30, 2019, to May 20, 2020. Patients were eligible if they presented with neurological injury or alteration, no contraindications for conventional MRI, and a body habitus not exceeding the scanner’s 30-cm vertical opening. Diagnosis of COVID-19 was determined by positive severe acute respiratory syndrome coronavirus 2 polymerase chain reaction nasopharyngeal swab result. EXPOSURES: Portable MRI in an intensive care unit room. MAIN OUTCOMES AND MEASURES: Demographic, clinical, radiological, and treatment data were collected and analyzed. Brain imaging findings are described. RESULTS: Point-of-care MRI examinations were performed on 50 patients (16 women 32%; mean SD age, 59 12 years range, 20-89 years). Patients presented with ischemic stroke (n = 9), hemorrhagic stroke (n = 12), subarachnoid hemorrhage (n = 2), traumatic brain injury (n = 3), brain tumor (n = 4), and COVID-19 with altered mental status (n = 20). Examinations were acquired at a median of 5 (range, 0-37) days after intensive care unit admission. Diagnostic-grade T1-weighted, T2-weighted, T2 fluid-attenuated inversion recovery, and diffusion-weighted imaging sequences were obtained for 37, 48, 45, and 32 patients, respectively. Neuroimaging findings were detected in 29 of 30 patients who did not have COVID-19 (97%), and 8 of 20 patients with COVID-19 (40%) demonstrated abnormalities. There were no adverse events or complications during deployment of the portable MRI or scanning in an intensive care unit room. CONCLUSIONS AND RELEVANCE: This single-center series of patients with critical illness in an intensive care setting demonstrated the feasibility of low-field, portable MRI. These findings demonstrate the potential role of portable MRI to obtain neuroimaging in complex clinical care settings.
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