AJCC
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


American Journal of Critical Care. 2007;16: 122-130
Copyright © 2007 by the American Association of Critical-Care Nurses.
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Respond to This Article
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Right arrow Take the CE Test
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Giuliano, K. K.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Giuliano, K. K.

CE Article

Physiological Monitoring for Critically Ill Patients: Testing a Predictive Model for the Early Detection of Sepsis

By Karen K. Giuliano, RN, PhD. From Philips Medical Systems, Andover, Mass.

Corresponding author: Karen K. Giuliano, RN, PhD, 3000 Minuteman Rd, MS 500, Andover, MA 01810 (e-mail: Karen.Giuliano{at}philips.com).

Objective To assess the predictive value for the early detection of sepsis of the physiological monitoring parameters currently recommended by the Surviving Sepsis Campaign.

Methods The Project IMPACT data set was used to assess whether the physiological parameters of heart rate, mean arterial pressure, body temperature, and respiratory rate can be used to distinguish between critically ill adult patients with and without sepsis in the first 24 hours of admission to an intensive care unit.

Results All predictor variables used in the analyses differed significantly between patients with sepsis and patients without sepsis. However, only 2 of the predictor variables, mean arterial pressure and high temperature, were independently associated with sepsis. In addition, the temperature mean for hypothermia was significantly lower in patients without sepsis. The odds ratio for having sepsis was 2.126 for patients with a temperature of 38°C or higher, 3.874 for patients with a mean arterial blood pressure of less than 70 mm Hg, and 4.63 times greater for patients who had both of these conditions.

Conclusions The results support the use of some of the guidelines of the Surviving Sepsis Campaign. However, the lowest mean temperature was significantly less for patients without sepsis than for patients with sepsis, a finding that calls into question the clinical usefulness of using hypothermia as an early predictor of sepsis. Alone the group of variables used is not sufficient for discriminating between critically ill patients with and without sepsis.

Notice to CE enrollees:
A closed-book, multiple-choice examination following this article tests your understanding of the following objectives:
  1. Describe the 4 criteria of which at least 2 are needed to meet the definition of systemic inflammatory response syndrome.
  2. Identify the difference between severe sepsis and septic shock.
  3. Describe the 2 independent and significant study variables that are associated with sepsis in the first 24 hours of admission to the intensive care unit.

To read this article and take the CE test online, visit www.ajcconline.org and click "CE Articles in This Issue."




This article has been cited by other articles:


Home page
Am J Crit CareHome page
R. Sincic and K. K. Giuliano
Reader Affirms Association Between Hypothermia and Sepsis
Am. J. Crit. Care., July 1, 2007; 16(4): 332 - 333.
[Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2007 by the American Association of Critical-Care Nurses.