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

Geriatric critical care.

Ramesh Nagappan1, Geoffrey Parkin

  • 1Intensive Care Unit, Monash Medical Centre, 246, Clayton Road, Melbourne, VIC-3168, Australia. ramesh@bigpond.net.au

Critical Care Clinics
|April 18, 2003
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

Volume status and volume responsiveness in postoperative cardiac surgical patients: An observational, multicentre cohort study.

Acta anaesthesiologica Scandinavica·2020
Same author

Comparison of echocardiographic and invasive measures of volaemia and cardiac performance in critically ill patients.

Scientific reports·2020
Same author

Assessment of volume status and volume responsiveness in the ICU: Protocol for an observational, multicentre cohort study.

Acta anaesthesiologica Scandinavica·2019
Same author

"Likely overassistance" during invasive pressure support ventilation in patients in the intensive care unit: a multicentre prospective observational study.

Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine·2019
Same author

Central venous pressure: soon an outcome-associated matter.

Current opinion in anaesthesiology·2016
Same author

Applying mean systemic filling pressure to assess the response to fluid boluses in cardiac post-surgical patients.

Intensive care medicine·2015

Older age does not predict outcomes for critically ill elderly patients. Severity of illness, not age, is the primary factor influencing survival in intensive care units (ICUs).

Area of Science:

  • Gerontology
  • Critical Care Medicine
  • Health Services Research

Background:

  • Increasing life expectancy leads to a growing population of critically ill elderly patients.
  • Elderly patients consume a disproportionate amount of intensive care unit (ICU) resources and hospital expenditures.
  • Current outcome prediction models for the elderly critically ill are not widely validated, and research is insufficient to guide clinicians.

Purpose of the Study:

  • To examine the role of age in predicting outcomes for critically ill elderly patients.
  • To address the lack of evidence guiding clinical decisions for intensive care of the elderly.
  • To explore factors influencing physician bias and decision-making in the critical care of older adults.

Main Methods:

  • Review of existing literature and outcome prediction models for critically ill elderly patients.

Related Experiment Videos

  • Analysis of factors influencing physician bias in ICU admission and treatment decisions.
  • Discussion of the interplay between severity of illness, age, and patient/physician perceptions of quality of life.
  • Main Results:

    • Age alone is not a predictor of short-term or long-term outcomes in critically ill older patients.
    • Severity of illness is the most significant factor influencing outcomes in critical illness.
    • Physician perceptions of quality of life differ from patient perceptions and influence treatment decisions.

    Conclusions:

    • Clinical decisions for critically ill elderly patients are complex and influenced by ethical, legal, socioeconomic, and personal factors.
    • Age should not be the sole determinant in critical care decisions; severity of illness is paramount.
    • Further research is needed to establish evidence-based guidelines for the critical care of the elderly.