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 Experiment Videos

Autonomic dysfunction in the ICU patient.

H B Schmidt1, K Werdan, U Müller-Werdan

  • 1Department of Medicine 111, Martin-Luther-University Halle-Wittenberg, Klinikum Kröllwitz, Germany.

Current Opinion in Critical Care
|January 24, 2002
PubMed
Summary
This summary is machine-generated.

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

[German Society of Medical Intensive Care and Emergency Medicine mourns the death of Angela Aey].

Medizinische Klinik, Intensivmedizin und Notfallmedizin·2022
Same author

[Core curriculum Medical intensive care medicine of the German Society of Medical Intensive Care and Emergency Medicine (DGIIN)].

Medizinische Klinik, Intensivmedizin und Notfallmedizin·2021
Same author

Digital pen technology for conducting cognitive assessments: a cross-over study with older adults.

Psychological research·2020
Same author

[Short version of the 2nd edition of the German-Austrian S3 guidelines "Cardiogenic shock complicating myocardial infarction-Diagnosis, monitoring and treatment"].

Der Anaesthesist·2020
Same author

[S3 Guideline Sepsis-prevention, diagnosis, therapy, and aftercare : Long version].

Medizinische Klinik, Intensivmedizin und Notfallmedizin·2020
Same author

[S3 guideline sepsis-prevention, diagnosis, treatment, and aftercare : Summary of the strong recommendations].

Medizinische Klinik, Intensivmedizin und Notfallmedizin·2020
Same journal

How to establish and run a national ICU benchmarking registry.

Current opinion in critical care·2026
Same journal

Cardiogenic shock - toward phenotype-directed, precision management.

Current opinion in critical care·2026
Same journal

The future of critical care nutrition: from calorie counting to precision personalized metabolism therapy.

Current opinion in critical care·2026
Same journal

Editorial introduction.

Current opinion in critical care·2026
Same journal

Generative artificial intelligence for outcome prediction in critical care: the future is now?

Current opinion in critical care·2026
Same journal

Feeding under support in critical care illness: metabolic and nutritional management during extracorporeal membrane oxygenation and continuous renal replacement therapy.

Current opinion in critical care·2026
See all related articles

Critically ill patients often have altered autonomic function, impacting prognosis and treatment. Assessing autonomic function using heart rate variability and other methods can improve understanding and management of critical illnesses like sepsis.

Area of Science:

  • Critical care medicine
  • Autonomic nervous system physiology
  • Cardiovascular research

Background:

  • Autonomic nervous system (ANS) balance is crucial in critical illness.
  • Assessing ANS function aids in understanding prognosis, pathogenesis, and treatment of ICU disorders.
  • Existing tools like heart rate variability and baroreflex sensitivity have limitations.

Purpose of the Study:

  • To summarize the application of established and novel autonomic function assessment tools in the Intensive Care Unit (ICU).
  • To introduce a model for investigating impaired autonomic function in multiple organ dysfunction syndrome (MODS) and sepsis.
  • To explore the integration of extrinsic and intrinsic factors in cardiac autonomic dysfunction.

Main Methods:

  • Review of established tools: heart rate variability, baroreflex sensitivity, and cardiac chemoreflex sensitivity.

Related Experiment Videos

  • Evaluation of new nonlinear methods for risk prediction in critically ill patients.
  • Introduction of a conceptual model for MODS and sepsis, incorporating cardiac and extrinsic factors.

    • Main Results:

    • Established tools provide valuable prognostic and pathogenetic information in ICU settings.
    • Novel nonlinear methods show promise for more precise risk stratification.
    • The proposed model integrates multiple factors contributing to autonomic dysfunction in MODS and sepsis.

    Conclusions:

    • Autonomic function assessment is vital for managing critically ill patients.
    • A combined approach integrating extrinsic and intrinsic factors is needed to understand MODS pathogenesis.
    • New pathophysiologic insights are essential for developing effective treatments for life-threatening conditions like MODS.