Comparing Hypothermic and Thermal Neutral Conditions to Induce Metabolic Suppression.
Jon C RittenbergerBrian M ClemencyBrian MonacoJacqueline SchwobJoshua T MurpheyDavid HostlerPublished in: Therapeutic hypothermia and temperature management (2024)
Suppressing metabolism in astronauts could decrease CO 2 production. It is unknown whether active cooling is required to suppress metabolism in sedated patients. We hypothesized that hypothermia would have an additive effect with dexmedetomidine on suppressing metabolism. This is a randomized crossover trial of healthy subjects receiving sedation with dexmedetomidine and exposure to a cold (20°C) or thermal neutral (31°C) environment for 3 hours. We measured heart rate, blood pressure, core temperature, resting oxygen consumption (VO 2 ), resting carbon dioxide production (VCO 2 ), and resting energy expenditure (REE) at baseline and each hour of exposure to either environment. We also evaluated components of the Defense Automated Neurobehavioral Assessment (DANA) Brief to evaluate the effect of metabolic suppression on cognition. Six subjects completed the study. Heart rate and core temperature were lower during the cold (56 bpm) condition than the thermal neutral condition (67 bpm). VO 2 , VCO 2 , and REE decreased between baseline and the 3-hour measurement in the cold condition (Δ = 0.9 mL/min, 56.94 mL/min, 487.9 Kcal/D, respectively). DANA simple response time increased between baseline and start of recovery in both conditions (20°C 136.9 cognitive efficiency [CE] and 31°C 87.83 CE). DANA procedural reaction time increased between baseline and start of recovery in the cold condition (220.6 CE) but not in the thermal neutral condition. DANA Go/No-Go time increased between baseline and start of recovery in both conditions (20°C 222.1 CE and 31°C 122.3 CE). Sedation and cold environments are required for metabolic suppression. Subjects experienced decrements in cognitive performance in both conditions. A significant recovery period may be required after metabolic suppression before completing mission critical tasks.
Keyphrases
- heart rate
- blood pressure
- heart rate variability
- carbon dioxide
- hypertensive patients
- energy transfer
- end stage renal disease
- machine learning
- chronic kidney disease
- ejection fraction
- randomized controlled trial
- cardiac arrest
- deep learning
- mild cognitive impairment
- peritoneal dialysis
- prognostic factors
- study protocol
- multiple sclerosis
- high throughput
- acute kidney injury
- adipose tissue
- patient reported outcomes
- metabolic syndrome
- phase iii
- quantum dots
- double blind
- extracorporeal membrane oxygenation
- acute respiratory distress syndrome
- skeletal muscle