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Open AccessFeature PaperReview

Non-Coding RNAs to Aid in Neurological Prognosis after Cardiac Arrest

1
Cardiovascular Research Unit, Department of Population Health, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg
2
Medical and Health Department, Luxembourg Fire and Rescue Corps, L-2557 Luxembourg, Luxembourg
3
Department of Cardiology, Clinical Sciences, Lund University, 221 85 Lund, Sweden
4
Skane University Hospital, Lund University, 221 85 Malmo, Sweden
5
Helsingborg Hospital, Lund University, 25187 Helsingborg, Sweden
*
Author to whom correspondence should be addressed.
On behalf of the CardiolincTM network.
Non-Coding RNA 2018, 4(4), 42; https://doi.org/10.3390/ncrna4040042
Received: 8 November 2018 / Revised: 7 December 2018 / Accepted: 12 December 2018 / Published: 18 December 2018
(This article belongs to the Collection Regulatory RNAs in Cardiovascular Development and Disease)
Cardiovascular disease in general, and sudden cardiac death in particular, have an enormous socio-economic burden worldwide. Despite significant efforts to improve cardiopulmonary resuscitation, survival rates remain low. Moreover, patients who survive to hospital discharge have a high risk of developing severe physical or neurological symptoms. Being able to predict outcomes after resuscitation from cardiac arrest would make it possible to tailor healthcare approaches, thereby maximising efforts for those who would mostly benefit from aggressive therapy. However, the identification of patients at risk of poor recovery after cardiac arrest is still a challenging task which could be facilitated by novel biomarkers. Recent investigations have recognised the potential of non-coding RNAs to aid in outcome prediction after cardiac arrest. In this review, we summarize recent discoveries and propose a handful of novel perspectives for the use of non-coding RNAs to predict outcome after cardiac arrest, discussing their use for precision medicine. View Full-Text
Keywords: cardiac arrest; biomarkers; non-coding RNAs cardiac arrest; biomarkers; non-coding RNAs
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MDPI and ACS Style

Salgado-Somoza, A.; Stefanizzi, F.M.; Stammet, P.; Erlinge, D.; Friberg, H.; Nielsen, N.; Devaux, Y. Non-Coding RNAs to Aid in Neurological Prognosis after Cardiac Arrest. Non-Coding RNA 2018, 4, 42.

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