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Targeted plasma metabolomics in resuscitated comatose out-of-hospital cardiac arrest patients.

Authors :
Paulin Beske, Rasmus
Henriksen, Hanne H.
Obling, Laust
Kjærgaard, Jesper
Bro-Jeppesen, John
Nielsen, Niklas
Johansson, Pär I.
Hassager, Christian
Source :
Resuscitation. Oct2022, Vol. 179, p163-171. 9p.
Publication Year :
2022

Abstract

<bold>Background: </bold>Out-of-hospital cardiac arrest (OHCA) is a leading cause of death. Even if successfully resuscitated, mortality remains high due to ischemic and reperfusion injury (I/R). The oxygen deprivation leads to a metabolic derangement amplified upon reperfusion resulting in an uncontrolled generation of reactive oxygen species in the mitochondria triggering cell death mechanisms. The understanding of I/R injury in humans following OHCA remains sparse, with no existing treatment to attenuate the reperfusion injury.<bold>Aim: </bold>To describe metabolic derangement in patients following resuscitated OHCA.<bold>Methods: </bold>Plasma from consecutive resuscitated unconscious OHCA patients drawn at hospital admission were analyzed using ultra-performance-liquid-mass-spectrometry. Sixty-one metabolites were prespecified for quantification and studied.<bold>Results: </bold>In total, 163 patients were included, of which 143 (88%) were men, and the median age was 62 years (53-68). All measured metabolites from the tricarboxylic acid (TCA) cycle were significantly higher in non-survivors vs. survivors (180-days survival). Hierarchical clustering identified four clusters (A-D) of patients with distinct metabolic profiles. Cluster A and B had higher levels of TCA metabolites, amino acids and acylcarnitine species compared to C and D. The mortality was significantly higher in cluster A and B (A:62% and B:59% vs. C:21 % and D:24%, p < 0.001). Cluster A and B had longer time to return of spontaneous circulation (A:33 min (21-43), B:27 min (24-35), C:18 min (13-28), and D:18 min (12-25), p < 0.001).<bold>Conclusion: </bold>Circulating levels of metabolites from the TCA cycle best described the variance between survivors and non-survivors. Four different metabolic phenotypes with significantly different mortality were identified. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03009572
Volume :
179
Database :
Academic Search Index
Journal :
Resuscitation
Publication Type :
Academic Journal
Accession number :
159383995
Full Text :
https://doi.org/10.1016/j.resuscitation.2022.06.010