Background: We have observed that critically ill patients with COVID-19 are in an extreme hypermetabolic state. This may be a major contributing factor to the extraordinary ventilatory and oxygenation demands seen in these patients. We aimed to quantify the extent of the hypermetabolic state and report the clinical effect of the use of hypothermia to decrease the metabolic demand in these patients.
Methods: Mild hypothermia was applied on four critically ill patients with COVID-19 for 48 h. Metabolic rates, carbon dioxide production and oxygen consumption were measured by indirect calorimetry.
Results: The average resting energy expenditure (REE) was 299% of predicted. Mild hypothermia decreased the REE on average of 27.0% with resultant declines in CO production (VCO) and oxygen consumption (VO) by 29.2% and 25.7%, respectively. This decrease in VCO and VO was clinically manifested as improvements in hypercapnia (average of 19.1% decrease in pCO levels) and oxygenation (average of 50.4% increase in pO).
Conclusion: Our case series demonstrates the extent of hypermetabolism in COVID-19 critical illness and suggests that mild hypothermia reduces the metabolic rate, improves hypercapnia and hypoxia in critically ill patients with COVID-19.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382710 | PMC |
http://dx.doi.org/10.1016/j.metop.2020.100046 | DOI Listing |
J Med Internet Res
January 2025
Department of Cardiology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Background: Efficient emergency patient transport systems, which are crucial for delivering timely medical care to individuals in critical situations, face certain challenges. To address this, CONNECT-AI (CONnected Network for EMS Comprehensive Technical-Support using Artificial Intelligence), a novel digital platform, was introduced. This artificial intelligence (AI)-based network provides comprehensive technical support for the real-time sharing of medical information at the prehospital stage.
View Article and Find Full Text PDFAnn Med
December 2025
Department of Critical Care Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Background: This study was aimed to explore the global burden and trends of Clostridioides difficile infections (CDI) associated diseases.
Methods: Data for this study were obtained from the Global Burden of Disease Study 2021. The burden of CDI was assessed using the age-standardized rates of disability-adjusted life years (ASR-DALYs) and deaths (ASDRs).
Indian J Pediatr
January 2025
Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China.
JMIRx Med
January 2025
CHRIST (Deemed to be University), Hosur Road, Bhavani Nagar, Bengaluru, 560029, India, 91 8867055238.
Background: Rural health care delivery remains a global challenge and India is no exception, particularly in regions with Indigenous populations such as the state of Jharkhand. The Community Health Centres in Jharkhand, India, are staffed by Indigenous workers who play a crucial role in bridging the health care gap. However, their motivation and retention in these challenging areas are often influenced by a complex mix of sociocultural and environmental factors.
View Article and Find Full Text PDFJ Antimicrob Chemother
January 2025
Pediatric Intensive Care Unit, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Objectives: Teicoplanin is a commonly used antibiotic in critically ill children. However, teicoplanin dosing is often inaccurate, especially in children undergoing continuous kidney replacement therapy (CKRT). This study aims to develop a population pharmacokinetic (PK) model to optimize teicoplanin dosing in critically ill children, including those on CKRT.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!