Early prognostication markers in cardiac arrest patients treated with hypothermia.
M KarapetkovaM A KoenigXiaofeng JiaPublished in: European journal of neurology (2015)
A multimodal algorithm composed of neurological examination, EEG-based quantitative testing and somatosensory evoked potentials, in conjunction with newer magnetic resonance imaging sequences, if available, holds promise for accurate prognostication in CA patients treated with TH. In order to avoid premature withdrawal of care, prognostication should be performed more than 72 h after CA.
Keyphrases
- cardiac arrest
- magnetic resonance imaging
- cardiopulmonary resuscitation
- high resolution
- healthcare
- pain management
- palliative care
- machine learning
- protein kinase
- computed tomography
- deep learning
- functional connectivity
- quality improvement
- big data
- brain injury
- contrast enhanced
- resting state
- transcranial direct current stimulation
- magnetic resonance
- mass spectrometry
- artificial intelligence
- chronic pain
- diffusion weighted imaging
- neural network
- affordable care act