Literature DB >> 22001580

The Eldicus prospective, observational study of triage decision making in European intensive care units. Part II: intensive care benefit for the elderly.

Charles L Sprung1, Antonio Artigas, Jozef Kesecioglu, Angelo Pezzi, Joergen Wiis, Romain Pirracchio, Mario Baras, David L Edbrooke, Antonio Pesenti, Jan Bakker, Chris Hargreaves, Gabriel Gurman, Simon L Cohen, Anne Lippert, Didier Payen, Davide Corbella, Gaetano Iapichino.   

Abstract

RATIONALE: Life and death triage decisions are made daily by intensive care unit physicians. Admission to an intensive care unit is denied when intensive care unit resources are constrained, especially for the elderly.
OBJECTIVE: To determine the effect of intensive care unit triage decisions on mortality and intensive care unit benefit, specifically for elderly patients.
DESIGN: Prospective, observational study of triage decisions from September 2003 until March 2005.
SETTING: Eleven intensive care units in seven European countries. PATIENTS: All patients >18 yrs with an explicit request for intensive care unit admission.
INTERVENTIONS: Admission or rejection to intensive care unit.
MEASUREMENTS AND MAIN RESULTS: Demographic, clinical, hospital, physiologic variables, and 28-day mortality were obtained on consecutive patients. There were 8,472 triages in 6,796 patients, 5,602 (82%) were accepted to the intensive care unit, 1,194 (18%) rejected; 3,795 (49%) were ≥ 65 yrs. Refusal rate increased with increasing patient age (18-44: 11%; 45-64: 15%; 65-74: 18%; 75-84: 23%; >84: 36%). Mortality was higher for older patients (18-44: 11%; 45-64: 21%; 65-74: 29%; 75-84: 37%; >84: 48%). Differences between mortalities of accepted vs. rejected patients, however, were greatest for older patients (18-44: 10.2% vs. 12.5%; 45-64: 21.2% vs. 22.3%; 65-74: 27.9% vs. 34.6%; 75-84: 35.5% vs. 40.4%; >84: 41.5% vs. 58.5%). Logistic regression showed a greater mortality reduction for accepted vs. rejected patients corrected for disease severity for elderly patients (age >65 [odds ratio 0.65, 95% confidence interval 0.55-0.78, p < .0001]) than younger patients (age <65 [odds ratio 0.74, 95% confidence interval 0.57-0.97, p = .01]).
CONCLUSIONS: Despite the fact that elderly patients have more intensive care unit rejections than younger patients and have a higher mortality when admitted, the mortality benefit appears greater for the elderly. Physicians should consider changing their intensive care unit triage practices for the elderly.

Entities:  

Mesh:

Year:  2012        PMID: 22001580     DOI: 10.1097/CCM.0b013e318232d6b0

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  55 in total

1.  The relativity of age or geriatric medicine at the crossroads.

Authors:  Gorazd Voga; Dragan Kovačić
Journal:  Wien Klin Wochenschr       Date:  2016-11-21       Impact factor: 1.704

2.  Frailty as a Prognostic Indicator in Intensive Care.

Authors:  Christian Jung; Raphael Romano Bruno; Bernhard Wernly; Georg Wolff; Michael Beil; Malte Kelm
Journal:  Dtsch Arztebl Int       Date:  2020-10-02       Impact factor: 5.594

Review 3.  Time-limited trial of intensive care treatment: an overview of current literature.

Authors:  Eva E Vink; Elie Azoulay; Arthur Caplan; Erwin J O Kompanje; Jan Bakker
Journal:  Intensive Care Med       Date:  2018-08-22       Impact factor: 17.440

4.  Early hemodynamic assessment and treatment of elderly patients in the medical ICU.

Authors:  Gorazd Voga; Lucija Gabršček-Parežnik
Journal:  Wien Klin Wochenschr       Date:  2016-11-28       Impact factor: 1.704

5.  Ten things to know about critically ill elderly patients.

Authors:  Guillaume Leblanc; Ariane Boumendil; Bertrand Guidet
Journal:  Intensive Care Med       Date:  2016-08-04       Impact factor: 17.440

6.  Eight things we would never do regarding end-of-life care in the ICU.

Authors:  E Wesley Ely; Elie Azoulay; Charles L Sprung
Journal:  Intensive Care Med       Date:  2019-03-07       Impact factor: 17.440

7.  Mild Cognitive Impairment and Risk of Critical Illness.

Authors:  D Alex Teeters; Teng Moua; Guangxi Li; Rahul Kashyap; Michelle Biehl; Rupinder Kaur; Ognjen Gajic; Bradley F Boeve; Erik K St Louis; Ronald C Petersen; Sean M Caples
Journal:  Crit Care Med       Date:  2016-11       Impact factor: 7.598

8.  The ETHICA study (part II): simulation study of determinants and variability of ICU physician decisions in patients aged 80 or over.

Authors:  M Garrouste-Orgeas; A Tabah; A Vesin; F Philippart; A Kpodji; C Bruel; C Grégoire; A Max; J F Timsit; B Misset
Journal:  Intensive Care Med       Date:  2013-06-14       Impact factor: 17.440

9.  The impact of patient preferences on physician decisions in the ICU: still much to learn.

Authors:  William J Ehlenbach
Journal:  Intensive Care Med       Date:  2013-06-14       Impact factor: 17.440

10.  Triage of intensive care patients: identifying agreement and controversy.

Authors:  Charles L Sprung; Marion Danis; Gaetano Iapichino; Antonio Artigas; Jozef Kesecioglu; Rui Moreno; Anne Lippert; J Randall Curtis; Paula Meale; Simon L Cohen; Mitchell M Levy; Robert D Truog
Journal:  Intensive Care Med       Date:  2013-08-08       Impact factor: 17.440

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.