|
Persistent Identifier
|
perma:LIST.QTMLTR |
|
Publication Date
|
2026-07-06 |
|
Title
| Multiomic biomarkers after cardiac arrest [* Cross-Reference *] |
|
Other Identifier
| https://doi.org/10.1186/s40635-024-00675-y
OpenAlex ID: https://openalex.org/W4402901736 |
|
Author
| Victoria Stopa (Luxembourg Institute of Health) - ORCID: https://orcid.org/0000-0002-2271-0551
Gabriele Lileikyte (Helsingborgs lasarett) - ORCID: https://orcid.org/0000-0002-6778-6269
Anahita Bakochi (Lund University) - ORCID: https://orcid.org/0000-0001-8144-8525
Prasoon Agarwal (Lund University, Science for Life Laboratory) - ORCID: https://orcid.org/0000-0003-1813-7606
Rasmus Paulin Beske (University of Copenhagen, Rigshospitalet) - ORCID: https://orcid.org/0000-0002-5880-3733
Pascal Stammet (Centre Hospitalier de Luxembourg, University of Luxembourg, Luxembourg Institute of Science and Technology) - ORCID: https://orcid.org/0000-0002-0298-1012
Christian Hassager (University of Copenhagen, Rigshospitalet) - ORCID: https://orcid.org/0000-0002-1199-0981
Filip Årman (Lund University)
Niklas Nielsen (Helsingborgs lasarett) - ORCID: https://orcid.org/0000-0002-6013-126X
Yvan Devaux (Luxembourg Institute of Health) - ORCID: https://orcid.org/0000-0002-5321-8543 |
|
Point of Contact
|
Use email button above to contact.
LIST QDKM (LIST) |
|
Description
| Cardiac arrest is a sudden cessation of heart function, leading to an abrupt loss of blood flow and oxygen to vital organs. This life-threatening emergency requires immediate medical intervention and can lead to severe neurological injury or death. Methods and biomarkers to predict neurological outcome are available but lack accuracy. Such methods would allow personalizing healthcare and help clinical decisions. Extensive research has been conducted to identify prognostic omic biomarkers of cardiac arrest. With the emergence of technologies allowing to combine different levels of omics data, and with the help of artificial intelligence and machine learning, there is a potential to use multiomic signatures as prognostic biomarkers after cardiac arrest. This review article delves into the current knowledge of cardiac arrest biomarkers across various omic fields and suggests directions for future research aiming to integrate multiple omics data layers to improve outcome prediction and cardiac arrest patient’s care. (2024-09-27)
***This entry has been automatically imported via OpenAlex by LIST harvest scripts. Please refer to https://doi.org/10.1186/s40635-024-00675-y for the original and latest version of the publication*** (2026-07-01) |
|
Subject
| Chemistry; Medicine, Health and Life Sciences |
|
Keyword
| Medicine
Intensive care medicine
Cardiology
Internal medicine |
|
Topic Classification
| Cardiac Arrest and Resuscitation
S100 Proteins and Annexins
Sepsis Diagnosis and Treatment |
|
Deposit Date
| 2024-09-27 |
|
Data Type
| Review |
|
Data Source
| Intensive Care Medicine Experimental |