Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Expert Augmented Prediction of Circulatory and Respiratory Instability from High Resolution Vital Signs.

NPJ digital medicine·2026
Same author

Sarcopenia-associated traits and sepsis risk: a Mendelian Randomization and Prospective Observational Study.

Shock (Augusta, Ga.)·2026
Same author

Large Language Models Provide Accurate but Potentially Unsafe Answers to Multimodal Critical Care Medicine Board Review Questions.

Critical care medicine·2026
Same author

Association of White Blood Cell Count with Treatment Response to Cefepime vs Piperacillin-Tazobactam.

American journal of respiratory and critical care medicine·2026
Same author

International Validation of Temperature-Trajectory Sepsis Subphenotypes With Longitudinal Immune and Coagulation Patterns and Its Implications for Immunoglobulin Therapy.

Critical care medicine·2026
Same author

Publisher Correction: Surviving Sepsis Campaign: international guidelines for management of sepsis and septic shock 2026.

Intensive care medicine·2026

Related Experiment Video

Updated: Jul 2, 2026

A Contemporary Warming/Restraining Device for Efficient Tail Vein Injections in a Murine Fungal Sepsis Model
06:02

A Contemporary Warming/Restraining Device for Efficient Tail Vein Injections in a Murine Fungal Sepsis Model

Published on: November 6, 2020

Dynamic Temperature Modeling Predicts Mortality in Murine Sepsis.

Zengli Xiao1,2, Luhao Wang3, Sandra L Carpenter1

  • 1Department of Surgery and Emory Critical Care Center, Emory University School of Medicine, Atlanta, Georgia, USA.

Shock (Augusta, Ga.)
|July 1, 2026
PubMed
Summary

Serial body temperature monitoring in mice with sepsis can predict mortality. Dynamic Bayesian modeling of temperature trajectories offers a more accurate method than single measurements for predicting survival outcomes in pre-clinical sepsis studies.

More Related Videos

A Preclinical Model of Sepsis-Induced Myopathy with Disuse in Mice
04:01

A Preclinical Model of Sepsis-Induced Myopathy with Disuse in Mice

Published on: June 14, 2024

Use of a Central Venous Line for Fluids, Drugs and Nutrient Administration in a Mouse Model of Critical Illness
09:17

Use of a Central Venous Line for Fluids, Drugs and Nutrient Administration in a Mouse Model of Critical Illness

Published on: May 2, 2017

Related Experiment Videos

Last Updated: Jul 2, 2026

A Contemporary Warming/Restraining Device for Efficient Tail Vein Injections in a Murine Fungal Sepsis Model
06:02

A Contemporary Warming/Restraining Device for Efficient Tail Vein Injections in a Murine Fungal Sepsis Model

Published on: November 6, 2020

A Preclinical Model of Sepsis-Induced Myopathy with Disuse in Mice
04:01

A Preclinical Model of Sepsis-Induced Myopathy with Disuse in Mice

Published on: June 14, 2024

Use of a Central Venous Line for Fluids, Drugs and Nutrient Administration in a Mouse Model of Critical Illness
09:17

Use of a Central Venous Line for Fluids, Drugs and Nutrient Administration in a Mouse Model of Critical Illness

Published on: May 2, 2017

Area of Science:

  • Veterinary Medicine
  • Pre-clinical Research
  • Sepsis Modeling

Background:

  • Single body temperature measurements in mouse sepsis lack predictive accuracy for mortality.
  • Temperature trajectories, however, show promise in predicting outcomes in human sepsis patients.
  • Accurate prediction of mortality is crucial for establishing humane endpoints in pre-clinical sepsis studies.

Purpose of the Study:

  • To determine if temperature trajectories can predict subsequent mortality in septic mice.
  • To develop a quantitative model for predicting mortality risk using longitudinal temperature data.

Main Methods:

  • A large, heterogeneous cohort of 511 C57Bl/6 mice across three laboratories was used.
  • Serial body temperature was measured every 12 hours for up to 7 days post-sepsis onset.
  • A Bayesian joint model incorporated longitudinal temperature data (baseline, 12, 24 hours) to predict mortality risk (12-72 hours post-sepsis).

Main Results:

  • The Bayesian model demonstrated strong predictive accuracy, with AUCs increasing from 0.864 to 0.932 for longer prediction horizons.
  • Model performance was not significantly improved by incorporating sepsis model type, age, or sex.
  • Specific temperature thresholds (e.g., 27.0°C at 24 hours) identified mice with 100% certainty of subsequent death, establishing irreversible terminal states.

Conclusions:

  • Temperature trajectories, reflecting longitudinal hypothermia, are powerful predictors of mortality in heterogeneous murine sepsis models.
  • Dynamic Bayesian modeling enables individualized mortality risk estimation, improving upon single temperature measurements.
  • This approach can aid in establishing more precise and humane endpoints for pre-clinical sepsis research.