Dataset Information

Alignment of targeted temperature management treatment with patients' mortality risk for out-of-hospital cardiac arrest.

ABSTRACT:

Objective

To examine whether TTM treatment was aligned with predicted mortality risk in patients with resuscitated OHCA during a period when it was a class I guideline-recommended therapy.

Methods

Within the Cardiac Arrest Registry to Enhance Survival for OHCA, we identified adult patients with OHCA who survived to hospital admission and were presumed eligible for TTM. Multivariable models were constructed using pre-hospital variables to predict in-hospital death in patients with shockable and non-shockable rhythms. Within each rhythm category, we divided patients into deciles of predicted mortality risk and examined TTM treatment rates across deciles.

Results

From 2013-2019, there were 25,882 successfully resuscitated patients with shockable rhythms and 43,414 patients with non-shockable rhythms presumed eligible for TTM. Of patients with shockable rhythms, predicted in-hospital mortality ranged from 16%-78% in deciles 1-10. TTM treatment increased from 44% in decile 1 to 59% in decile 10 (P for trend < 0.001), but over a third of patients in deciles 4-9 were not treated with TTM. Of patients with non-shockable rhythms, predicted mortality ranged from 48%-95% in deciles 1-10. Although TTM treatment rates increased from 36% in decile 1 to 43% in decile 10 (P for trend 0.003), TTM treatment rates were agnostic to mortality risk (44% to 47%) from decile 2-9.

Conclusion

TTM treatment patterns were not well-aligned with patients' mortality risk during a period when it was a guideline-recommended treatment for OHCA. Identifying strategies to better align guideline-recommended treatments with patients' mortality risk is critical for efforts to improve OHCA survival.

SUBMITTER: Nguyen DD

PROVIDER: S-EPMC10014118 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Alignment of targeted temperature management treatment with patients' mortality risk for out-of-hospital cardiac arrest.

Nguyen Dan D DD Spertus John A JA Uzendu Anezi I AI Kennedy Kevin F KF McNally Bryan F BF Chan Paul S PS

Resuscitation 20221103

<h4>Objective</h4>To examine whether TTM treatment was aligned with predicted mortality risk in patients with resuscitated OHCA during a period when it was a class I guideline-recommended therapy.<h4>Methods</h4>Within the Cardiac Arrest Registry to Enhance Survival for OHCA, we identified adult patients with OHCA who survived to hospital admission and were presumed eligible for TTM. Multivariable models were constructed using pre-hospital variables to predict in-hospital death in patients with ...[more]

PMID: 36336197

Similar Datasets

Project description:BackgroundDefinition of temporal serum proteome profiles after out-of-hospital cardiac arrest may identify biological processes associated with severe hypoxia-ischaemia and reperfusion. It may further explore intervention effects for new mechanistic insights, identify candidate prognostic protein biomarkers and potential therapeutic targets. This pilot study aimed to investigate serum proteome profiles from unconscious patients admitted to hospital after out-of-hospital cardiac arrest according to temperature treatment and neurological outcome.MethodsSerum samples at 24, 48, and 72 h after cardiac arrest at three centres included in the Target Temperature Management after out-of-hospital cardiac arrest trial underwent data-independent acquisition mass spectrometry analysis (DIA-MS) to find changes in serum protein concentrations associated with neurological outcome at 6-month follow-up and targeted temperature management (TTM) at 33 °C as compared to 36 °C. Neurological outcome was defined according to Cerebral Performance Category (CPC) scale as "good" (CPC 1-2, good cerebral performance or moderate disability) or "poor" (CPC 3-5, severe disability, unresponsive wakefulness syndrome, or death).ResultsOf 78 included patients [mean age 66 ± 12 years, 62 (80.0%) male], 37 (47.4%) were randomised to TTM at 36 °C. Six-month outcome was poor in 47 (60.3%) patients. The DIA-MS analysis identified and quantified 403 unique human proteins. Differential protein abundance testing comparing poor to good outcome showed 19 elevated proteins in patients with poor outcome (log2-fold change (FC) range 0.28-1.17) and 16 reduced proteins (log2(FC) between - 0.22 and - 0.68), involved in inflammatory/immune responses and apoptotic signalling pathways for poor outcome and proteolysis for good outcome. Analysis according to level of TTM showed a significant protein abundance difference for six proteins [five elevated proteins in TTM 36 °C (log2(FC) between 0.33 and 0.88), one reduced protein (log2(FC) - 0.6)] mainly involved in inflammatory/immune responses only at 48 h after cardiac arrest.ConclusionsSerum proteome profiling revealed an increase in inflammatory/immune responses and apoptosis in patients with poor outcome. In patients with good outcome, an increase in proteolysis was observed, whereas TTM-level only had a modest effect on the proteome profiles. Further validation of the differentially abundant proteins in response to neurological outcome is necessary to validate novel biomarker candidates that may predict prognosis after cardiac arrest.

Dataset Information

Alignment of targeted temperature management treatment with patients' mortality risk for out-of-hospital cardiac arrest.

Objective

Methods

Results

Conclusion

Publications

Alignment of targeted temperature management treatment with patients' mortality risk for out-of-hospital cardiac arrest.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets