Association of time-temperature curves with outcomes in temperature management for cardiac arrest.
Abstract
<h4>Background/purpose</h4>Cardiac arrest is a common cause of death and neurological
injury; therapeutic cooling for neuroprotection is standard of care. Despite numerous
and ongoing trials targeting a specified cooling temperature for a target duration,
the concept of temperature dose-the duration spent at a given depth of hypothermia-is
not as well explored.<h4>Methods</h4>In this retrospective study, we examined 66 patients
18 years of age or older undergoing therapeutic hypothermia for cardiac arrest between
2007 and 2010 to assess the relationship of temperature dose with outcomes. Demographic,
clinical, outcome and temperature data were collected. Demographic and clinical data
underwent bivariate regression analysis for association with outcome. Time-temperature
curves were divided into pre-determined temperature thresholds and assessed by logistic
regression analysis for association with outcome. A second, multivariate regression
analysis was performed controlling for factors associated with poor outcomes.<h4>Results</h4>Old
age was significantly associated with poor outcome and a shockable arrest rhythm was
significantly associated with positive outcome. Subjects spent an average of 2.82 hours
below 35°C, 7.31 hours ≥35°C to ≤36.5°C, 24.75 hours >36.5 to <38.0°C and 7.06 hours
≥38°C. Logistic regression analysis revealed borderline significant positive association
between good outcome and time at a cooling depth (35°C-36.5°C, p=0.05); adjusted for
old age, the association became significant (p=0.04).<h4>Conclusion</h4>Controlling
for old age, longer durations between >35°C, ≤36.5°C during therapeutic hypothermia
for cardiac arrest were significantly associated with good clinical outcomes. Time
spent within a given temperature range may be useful for measuring the effect of temperature
management.
Type
Journal articlePermalink
https://hdl.handle.net/10161/25095Published Version (Please cite this version)
10.1136/bmjno-2022-000273Publication Info
Luedke, Matthew William; Graffagnino, Carmelo; McKinney, B Grace; Piper, Jill; Iversen,
Edwin; & Kolls, Brad (2022). Association of time-temperature curves with outcomes in temperature management for
cardiac arrest. BMJ neurology open, 4(1). pp. e000273. 10.1136/bmjno-2022-000273. Retrieved from https://hdl.handle.net/10161/25095.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Carmelo Graffagnino
Professor of Neurology
As an neurointensivist with subspecialty training in cerebrovascular disease and neurocritical
care my research focus is on the application of neurocritical care interventions to
help patients with acute strokes and head injuries. My current research focuses both
on improving and innovation of new therapies for patients with acute stroke as well
as improving the systems of care that deliver life saving treatments to patients with
stroke. Current research studies include the use
Edwin Severin Iversen Jr.
Research Professor of Statistical Science
Bayesian statistical modeling with application to problems in genetic epidemiology
and cancer research; models for epidemiological risk assessment, including hierarchical
methods for combining related epidemiological studies; ascertainment corrections for
high risk family data; analysis of high-throughput genomic data sets.
Bradley Jason Kolls
Associate Professor of Neurology
As a neurointensivist, I am interested in improving our ability to monitor brain function
and impact of therapy on our patients in the critical care setting. To this end I
am developing new approaches to patient monitoring that will integrate patient physiologic
monitoring with brain activity recorded by electroencephalography (EEG). On the basic
science side I am interested in the central nervous system's response to injury. Although
much attention has been focused on closed head injury as
Matthew William Luedke
Assistant Professor of Neurology
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