Publications by authors named "Eric S Rosenthal"

Background: Neurovascular coupling (NVC) refers to the process of aligning cerebral blood flow with neuronal metabolic demand. This study explores the potential of contralateral NVC-linking neural electrical activity on the stroke side with cerebral blood flow velocity (CBFV) on the contralesional side-as a marker of physiological function of the brain. Our aim was to examine the association between contralateral NVC and neurological outcomes in patients with ischemic stroke following endovascular thrombectomy.

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Objectives: Septic shock is a common condition necessitating timely management including hemodynamic support with vasopressors. Despite the high prevalence and mortality, there is limited data characterizing patients who require three or more vasopressors. We sought to define the demographics, outcomes, and prognostic determinants associated with septic shock requiring three or more vasopressors.

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Alpha (8-12 Hz) frequency band oscillations are among the most informative features in electroencephalographic (EEG) assessment of patients with disorders of consciousness (DoC). Because interareal alpha synchrony is thought to facilitate long-range communication in healthy brains, coherence measures of resting-state alpha oscillations may provide insights into a patient's capacity for higher-order cognition beyond channel-wise estimates of alpha power. In multi-channel EEG, global coherence methods may be used to augment standard spectral analysis methods by both estimating the strength and identifying the structure of coherent oscillatory networks.

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Article Synopsis
  • Research highlights that the accuracy of clinical prognoses for survival after moderate to severe traumatic brain injury (TBI) is crucial since many patients die due to withdrawal of life-sustaining therapy based on assumed poor outcomes.
  • The study's objective was to evaluate if the automated measurement of cerebral contusion size and location can enhance the IMPACT score, a current prognostic model that doesn’t account for where brain injuries occur.
  • Conducted in 18 US trauma centers, the study assessed adult patients with moderate or severe TBI using an AI tool, BLAST-CT, to analyze CT scans, focusing on how contusion characteristics relate to long-term recovery outcomes using tools like the Glasgow Outcome Scale.
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Article Synopsis
  • The study looked at how doctors sedate patients with serious brain injuries to help reduce pressure in the brain, known as intracranial pressure (ICP).
  • Researchers analyzed data from a group of patients who were in the ICU for at least five days and had their sedation levels tracked daily.
  • They found that the highest sedation levels were given on the first day in the ICU, but the way sedation was managed varied a lot between different hospitals.
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Objective: Intravenous (IV) push (IVP) is an alternative administration method for levetiracetam, but evidence evaluating it compared to IV piggyback (IVPB) for loading doses in acutely seizing patients is limited, particularly in patients with status epilepticus (SE). This study aimed to compare the efficiency and safety of IVP versus IVPB levetiracetam loading doses.

Methods: This was a single-center sequential retrospective study conducted in adult (≥18 years) patients who received an IV levetiracetam loading dose (>2000 mg or ≥20 mg/kg) for acute or suspected seizure.

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Importance: Treatment for intracranial pressure (ICP) has been increasingly informed by machine learning (ML)-derived ICP waveform characteristics. There are gaps, however, in understanding how ICP monitor type may bias waveform characteristics used for these predictive tools since differences between external ventricular drain (EVD) and intraparenchymal monitor (IPM)-derived waveforms have not been well accounted for.

Objectives: We sought to develop a proof-of-concept ML model differentiating ICP waveforms originating from an EVD or IPM.

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This review offers a comprehensive guide for general intensivists on the utility of continuous EEG (cEEG) monitoring for critically ill patients. Beyond the primary role of EEG in detecting seizures, this review explores its utility in neuroprognostication, monitoring neurological deterioration, assessing treatment responses, and aiding rehabilitation in patients with encephalopathy, coma, or other consciousness disorders. Most seizures and status epilepticus (SE) events in the intensive care unit (ICU) setting are nonconvulsive or subtle, making cEEG essential for identifying these otherwise silent events.

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Background/objectives: Epileptiform activity (EA), including seizures and periodic patterns, worsens outcomes in patients with acute brain injuries (e.g., aneurysmal subarachnoid hemorrhage [aSAH]).

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Background: Social determinants of health (SDOH) have been linked to neurocritical care outcomes. We sought to examine the extent to which SDOH explain differences in decisions regarding life-sustaining therapy, a key outcome determinant. We specifically investigated the association of a patient's home geography, individual-level SDOH, and neighborhood-level SDOH with subsequent early limitation of life-sustaining therapy (eLLST) and early withdrawal of life-sustaining therapy (eWLST), adjusting for admission severity.

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Early prediction of the recovery of consciousness in comatose cardiac arrest patients remains challenging. We prospectively studied task-relevant fMRI responses in 19 comatose cardiac arrest patients and five healthy controls to assess the fMRI's utility for neuroprognostication. Tasks involved instrumental music listening, forward and backward language listening, and motor imagery.

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Background: The implementation of multimodality monitoring in the clinical management of patients with disorders of consciousness (DoC) results in physiological measurements that can be collected in a continuous and regular fashion or even at waveform resolution. Such data are considered part of the "Big Data" available in intensive care units and are potentially suitable for health care-focused artificial intelligence research. Despite the richness in content of the physiological measurements, and the clinical implications shown by derived metrics based on those measurements, they have been largely neglected from previous attempts in harmonizing data collection and standardizing reporting of results as part of common data elements (CDEs) efforts.

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Objectives: Epileptiform activity (EA) worsens outcomes in patients with acute brain injuries (e.g., aneurysmal subarachnoid hemorrhage [aSAH]).

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Article Synopsis
  • The study aimed to identify the technology, effort, and training needed for effectively using multimodality neuromonitoring (MNM) in clinical settings.
  • A three-round Delphi consensus process involving 35 experts from ICU backgrounds led to agreement on 49% of statements regarding MNM practices.
  • Key findings included the importance of MNM in managing patients with severe neurological impairments, the necessity of dedicated time and expertise for its integration, and the need for training platforms to develop those skills.
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Most clinical trials of treatment efficacy evaluate benefits and harms separately. Investigators generally rate the primary outcome of a trial with a binary outcome measure and consider harms separately as adverse events. This approach fails to recognize finer gradations of patient response, correlations between benefits and harms, and the overall effects on individual patients.

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Analgo-sedation plays an important role during intensive care management of traumatic brain injury (TBI) patients, however, limited evidence is available to guide practice. We sought to quantify practice-pattern variation in neurotrauma sedation management, surveying an international sample of providers. An electronic survey consisting of 56 questions was distributed internationally to neurocritical care providers utilizing the Research Electronic Data Capture platform.

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Unlabelled: The clinical significance of epileptiform abnormalities (EAs) specific to toxic-metabolic encephalopathy (TME) is unknown.

Objectives: To quantify EA burden in patients with TME and its association with neurologic outcomes.

Design Setting And Participant: This is a retrospective study.

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Background And Objectives: Seizures (SZs) and other SZ-like patterns of brain activity can harm the brain and contribute to in-hospital death, particularly when prolonged. However, experts qualified to interpret EEG data are scarce. Prior attempts to automate this task have been limited by small or inadequately labeled samples and have not convincingly demonstrated generalizable expert-level performance.

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We present the rationale for testing ketamine as an add-on therapy for treating benzodiazepine refractory (established) status epilepticus. In animal studies, ketamine terminates benzodiazepine refractory status epilepticus by interfering with the pathophysiological mechanisms and is a neuroprotectant. Ketamine does not suppress respiration when used for sedation and anesthesia.

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Background And Objectives: The validity of brain monitoring using electroencephalography (EEG), particularly to guide care in patients with acute or critical illness, requires that experts can reliably identify seizures and other potentially harmful rhythmic and periodic brain activity, collectively referred to as "ictal-interictal-injury continuum" (IIIC). Previous interrater reliability (IRR) studies are limited by small samples and selection bias. This study was conducted to assess the reliability of experts in identifying IIIC.

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Neurocritical care management of acute brain injury (ABI) is focused on identification, prevention, and management of secondary brain injury (SBI). Physiologic monitoring of the brain and other organ systems has a role to predict patient recovery or deterioration, guide individualized therapeutic interventions, and measure response to treatment, with the goal of improving patient outcomes. In this review, we detail how specific physiologic markers of brain injury and neuromonitoring tools are integrated and used in ABI patients to develop therapeutic approaches to prevent SBI.

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