Precision Care in Cardiac Arrest: ICECAP (PRECICECAP) Study Protocol and Informatics Approach

Elmer, Jonathan; He, Zihuai; May, Teresa; Osborn, Elizabeth; Moberg, Richard S.; Kemp, Stephanie; Stover, Jesse; Moyer, Ethan Jacob; Geocadin, Romergryko G.; Hirsch, Karen G.

doi:10.1007/s12028-022-01464-9

Cited by 16 publications

(13 citation statements)

References 29 publications

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“…The neuro‐prognostication‐based studies and tools developed have almost entirely focused on the prediction of poor outcomes. Recently, we have recognized a shift with the development of electrophysiologic, imaging, and serum biomarkers that can predict good outcomes, estimate brain injury severity, and track recovery 17–19 …”

Section: Revisiting the Process Of Neurologic Prognostication And Re‐...mentioning

confidence: 99%

“…Although no single tool perfectly predicts the outcome of coma after OHCA, a modern approach to prognostication uses multiple modalities to assess signs of brain injury, including neurophysiology, imaging, and biochemical markers 22 . These multimodality biomarkers can detect not only early injury but also how the brain responds to interventions 19 . These tools can guide treating teams to adjust or increase therapeutic intensity in the early periods rather than just reporting signs of poor response that might prompt families or clinical teams to WLST.…”

Section: Revisiting the Process Of Neurologic Prognostication And Re‐...mentioning

confidence: 99%

“…Recently, we have recognized a shift with the development of electrophysiologic, imaging, and serum biomarkers that can predict good outcomes, estimate brain injury severity, and track recovery. [17][18][19] Historically, neurological prognostication in comatose cardiac arrest survivors was dominated by an investigation published close to 4 decades ago. 20 In absence of any effective neuroprotective interventions available at that time, in a cohort of patients with overall 13% good or moderately disabled outcomes, the neuroprognostication scheme focused on identifying patients with poor outcomes and relied heavily on clinical neurologic findings at specific timeframes (ie, days 1, 3, and 7) after hypoxia or ischemia.…”

Section: Implementing the Chain Of Survival: Closing The Gap Between ...mentioning

confidence: 99%

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Cardiac Arrest and Neurologic Recovery: Insights from the Case of Mr. Damar Hamlin

Geocadin

Agarwal

Goss

et al. 2023

Annals of Neurology

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The association between brain injury after cardiac arrest and poor survival outcomes has led to longstanding pessimism. However, the publicly witnessed cardiac arrest, resuscitation, and acute management of Mr. Damar Hamlin and his favorable neurologic recovery provides some optimism. Mr. Hamlin's case highlights the neurologic advances of the last 2 decades and presents the opportunity to improve outcomes for all cardiac arrest patients in key areas: (1) effectively implementing the American Heart Association “Chain of Survival” to prevent initial brain injury and promote neuroprotection; (2) revisiting the process of neurologic prognostication and re‐defining the brain recovery during the early periods, and (3) incorporating neurorehabilitation into existing cardiac rehabilitation models to support holistic recovery. ANN NEUROL 2023;93:871–876

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Section: Revisiting the Process Of Neurologic Prognostication And Re‐...mentioning

confidence: 99%

Section: Revisiting the Process Of Neurologic Prognostication And Re‐...mentioning

confidence: 99%

Section: Implementing the Chain Of Survival: Closing The Gap Between ...mentioning

confidence: 99%

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Cardiac Arrest and Neurologic Recovery: Insights from the Case of Mr. Damar Hamlin

Geocadin

Agarwal

Goss

et al. 2023

Annals of Neurology

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“…Azad et al [5] propose a data-driven endotype approach for traumatic brain injury. The PREcision Care in cardiac arrest: Influence of Cooling duration on Efficacy in Cardiac Arrest Patients (PRECICECAP) investigators apply a similar data-driven philosophy to cardiac arrest [6] to "better define patterns of injury and tailor acute interventions" as a potential way to improve patient outcomes. Indeed, such an approach has great promise in resolving some of the challenges we face in managing complex patients and might lead to "smarter" enrollment in clinical trials [7].…”

mentioning

confidence: 99%

“…Moberg and colleagues [10] provide a useful perspective on the harmonization of physiologic data, stressing the need for standards for interoperability and clear metadata and labeling so we can make meaningful use of all the data available. The PRECICECAP investigators propose a platform to integrate physiologic data with electronic health record annotations for harmonization of data across sites and even modules and pipelines to facilitate analysis [6].…”

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confidence: 99%

Navigating the Ocean of Big Data in Neurocritical Care

Dhar

Meyfroidt

2022

Neurocrit Care

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Artificial intelligence (AI) will inevitably infiltrate and increasingly influence clinical practice and research in neurocritical care. The question is no longer whether or even when this will happen but how we respond to the opportunities and threats of exploring this terra incognita: some clinicians may watch anxiously from the shore as the AI armada sets sail for uncharted territory, whereas those who are more adventurous have elected to embark as "captains of big data" and determine the trajectory and destination of this scientific journey. Navigating through this still murky ocean of big data requires knowledge of evolving statistical and data analytic techniques that look to many like black magic. In reality, there is no mystical conjuring involved: machine learning techniques derive rules and reveal patterns in data by leveraging statistical analyses at an enormous scale and by combining variables in nonlinear and multidimensional ways. Just as with other statistical approaches, they cannot predict the future or make definitive causal inferences. It is imperative that physicians possess at least a modest understanding of the possibilities and limitations of AI to thrive in this technological future. This special issue of Neurocritical Care aims to guide the reader through this fascinating frontier of research. We invited several experts to review, debate, and provide perspectives on key aspects of these techniques and their potential to impact our field. We also include several original research submissions that harness big data and AI approaches to advance our understanding of common and vexing challenges in neurocritical care.

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Temperature Control and the Role of Therapeutic Hypothermia in Traumatic Brain Injury

Dietrich,

Bramlett

2024

Hot Topics in Acute Care Surgery and Trauma

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Precision Care in Cardiac Arrest: ICECAP (PRECICECAP) Study Protocol and Informatics Approach

Cited by 16 publications

References 29 publications

Cardiac Arrest and Neurologic Recovery: Insights from the Case of Mr. Damar Hamlin

Cardiac Arrest and Neurologic Recovery: Insights from the Case of Mr. Damar Hamlin

Navigating the Ocean of Big Data in Neurocritical Care

Temperature Control and the Role of Therapeutic Hypothermia in Traumatic Brain Injury

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