Title |
MicroRNAs: new biomarkers and therapeutic targets after cardiac arrest?
|
---|---|
Published in |
Critical Care, December 2015
|
DOI | 10.1186/s13054-015-0767-2 |
Pubmed ID | |
Authors |
Yvan Devaux, Pascal Stammet, Hans Friberg, Christian Hassager, Michael A Kuiper, Matt P Wise, Niklas Nielsen |
Abstract |
Despite advances in resuscitation medicine, including target temperature management as part of post-cardiac arrest care, many patients will have a poor neurological outcome, most often resulting in death. It is a commonly held belief that the ability to prognosticate outcome at an early stage after cardiac arrest would allow subsequent health care delivery to be tailored to individual patients. However, currently available predictive methods and biomarkers lack sufficient accuracy and therefore cannot be generally recommended in clinical practice. MicroRNAs have recently emerged as potential biomarkers of cardiovascular diseases. While the biomarker value of microRNAs for myocardial infarction or heart failure has been extensively studied, less attention has been devoted to their prognostic value after cardiac arrest. This review highlights the recent discoveries suggesting that microRNAs may be useful both to predict outcome and to treat patients after cardiac arrest. |
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Puerto Rico | 2 | 20% |
United Kingdom | 1 | 10% |
Mexico | 1 | 10% |
Unknown | 6 | 60% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 4 | 40% |
Members of the public | 4 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Scientists | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 2% |
Denmark | 1 | 2% |
Korea, Republic of | 1 | 2% |
Unknown | 55 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 9 | 16% |
Researcher | 8 | 14% |
Student > Master | 8 | 14% |
Professor > Associate Professor | 5 | 9% |
Student > Doctoral Student | 4 | 7% |
Other | 13 | 22% |
Unknown | 11 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 30 | 52% |
Agricultural and Biological Sciences | 6 | 10% |
Biochemistry, Genetics and Molecular Biology | 3 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
Environmental Science | 1 | 2% |
Other | 3 | 5% |
Unknown | 13 | 22% |