Cardiac arrest remains a large contributor to morbidity and mortality. Animal studies suggest an improvement in mortality and neurological function with hypothermia after cardiac arrest, a finding that could not be verified in large clinical trials such as Target Temperature Management after Out-of-hospital Cardiac arrest (TTM) trial. Multimodal neuroprognostication is an important tool for differentiating patients that will recover after cardiac arrest, and currently only one biomarker is in clinical use. The purpose of this study is to explore proteomics profiles in TTM trial patients in order to search for potential novel biomarkers, therapeutic targets, and to explore phenotypes of post-cardiac arrest syndrome.
Background: A pilot study investigating proteomic profiles from 78 patients from the Target Temperature Management after Out-of-hospital Cardiac arrest (TTM) trial revealed 35 proteins associated to functional outcome, and six proteins associated to targeted temperature management at 33 °C. We plan to investigate proteomic profiles in the full cohort of the previously collected TTM-trial biobank. The aim is to stratify protein profiles based on survival, functional outcome, targeted temperature management, and MIRACLE2 score in order to search for potential novel biomarkers, therapeutic targets, and to explore phenotypes of post-cardiac arrest syndrome. Methods: All patients with available serum samples at 24, 48, and/or 72 hours after return of spontaneous circulation will be included in the liquid chromatography and tandem mass spectrometry analysis using diaPASEF, combining data-independent-acquisition of spectra with parallel accumulation-serial fragmentation. Statistical analysis will include data normalisation, exploratory principal component analysis, and differential expression analysis. Changes in serum protein abundance will be analysed according to survival and binary functional outcome (modified Rankin Scale 0-3 vs. 4-6) at six-months after randomisation, randomisation to target temperature of 33 °C or 36 °C, and the MIRACLE2 score. Secondary stratifications will include sex, age, time to return of spontaneous circulation, shockable vs. non-shockable initial rhythm, circulatory shock on admission, and presumed cause of death. Conclusion: This study will provide information about proteomic profiles after cardiac arrest and may give insight for identification of novel biomarkers for prediction of outcome.
Study Type
OBSERVATIONAL
Enrollment
682
Biobank serum samples from patients that were included in the TTM trial will be used for proteomic analysis. TTM trial randomised patients to targeted temperature management of 33 °C or 36 °C.
Lund University
Lund, Skåne County, Sweden
Differential protein abundance
Differential protein abundance will be acquired using proteomic analysis of serum samples. Protein abundance will be stratified in statistical analysis according to pre-specified clinical outcomes.
Time frame: Differential protein abundance is evaluated 24, 48, and/or 72 hours after return of spontaneous circulation after cardiac arrest. Clinical outcomes are evaluated 180 days after cardiac arrest.
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