Skip to main content
Top
Published in: Annals of Intensive Care 1/2018

Open Access 01-12-2018 | Research

ICU physicians’ and internists’ survival predictions for patients evaluated for admission to the intensive care unit

Authors: Monica Escher, Bara Ricou, Mathieu Nendaz, Fabienne Scherer, Stéphane Cullati, Patricia Hudelson, Thomas Perneger

Published in: Annals of Intensive Care | Issue 1/2018

Login to get access

Abstract

Background

A higher chance of survival is a key justification for admission to the intensive care unit (ICU). This implies that physicians should be able to accurately estimate a patient’s prognosis, whether cared for on the ward or in the ICU. We aimed to determine whether physicians’ survival predictions correlate with the admission decisions and with patients’ observed survival. Consecutive ICU consultations for internal medicine patients were included. The ICU physician and the internist were asked to predict patient survival with intensive care and with care on the ward using 5 categories of probabilities (< 10%, 10–40%, 41–60%, 61–90%, > 90%). Patient mortality at 28 days was recorded.

Results

Thirty ICU physicians and 97 internists assessed 201 patients for intensive care. Among the patients, 140 (69.7%) were admitted to the ICU. Fifty-eight (28.9%) died within 28 days. Admission to intensive care was associated with predicted survival gain in the ICU, particularly for survival estimates made by ICU physicians. Observed survival was associated with predicted survival, for both groups of physicians. The discrimination of the predictions for survival with intensive care, measured by the area under the ROC curve, was 0.63 for ICU physicians and 0.76 for internists; for survival on the ward the areas under the ROC curves were 0.69 and 0.74, respectively.

Conclusions

Physicians are able to predict survival probabilities when they assess patients for intensive care, albeit imperfectly. Internists are more accurate than ICU physicians. However, ICU physicians’ estimates more strongly influence the admission decision. Closer collaboration between ICU physicians and internists is needed.
Appendix
Available only for authorised users
Literature
1.
go back to reference Nates JL, Nunnally M, Kleinpell R, Blosser S, Goldner J, Birriel B, et al. ICU admission, discharge, and triage guidelines: a framework to enhance clinical operations, development of institutional policies, and further research. Crit Care Med. 2016;44:1553–602.CrossRef Nates JL, Nunnally M, Kleinpell R, Blosser S, Goldner J, Birriel B, et al. ICU admission, discharge, and triage guidelines: a framework to enhance clinical operations, development of institutional policies, and further research. Crit Care Med. 2016;44:1553–602.CrossRef
2.
go back to reference Jansen JO, Cuthbertson BH. Detecting critical illness outside the ICU: the role of track and trigger systems. Curr Opin Crit Care. 2010;16:184–90.CrossRef Jansen JO, Cuthbertson BH. Detecting critical illness outside the ICU: the role of track and trigger systems. Curr Opin Crit Care. 2010;16:184–90.CrossRef
3.
go back to reference Vincent J, Moreno R. Scoring systems in the critically ill. Crit Care. 2010;14:207.CrossRef Vincent J, Moreno R. Scoring systems in the critically ill. Crit Care. 2010;14:207.CrossRef
4.
go back to reference Christian MD, Fowler R, Muller MP, Gomersall C, Sprung CL, Hupert N, et al. Critical care resource allocation: trying to PREEDICCT outcomes without a crystal ball. Crit Care. 2013;17:107.CrossRef Christian MD, Fowler R, Muller MP, Gomersall C, Sprung CL, Hupert N, et al. Critical care resource allocation: trying to PREEDICCT outcomes without a crystal ball. Crit Care. 2013;17:107.CrossRef
5.
go back to reference Sinuff T, Adhikari NK, Cook DJ, Schunemann HJ, Griffith LE, Rocker G, et al. Mortality predictions in the intensive care unit: comparing physicians with scoring systems. Crit Care Med. 2006;34:878–85.CrossRef Sinuff T, Adhikari NK, Cook DJ, Schunemann HJ, Griffith LE, Rocker G, et al. Mortality predictions in the intensive care unit: comparing physicians with scoring systems. Crit Care Med. 2006;34:878–85.CrossRef
6.
go back to reference Garrouste-Orgeas M, Montuclard L, Timsit JF, Misset B, Christias M, Carlet J. Triaging patients to the ICU: a pilot study of factors influencing admission decisions and patient outcomes. Intensive Care Med. 2003;29:774–81.CrossRef Garrouste-Orgeas M, Montuclard L, Timsit JF, Misset B, Christias M, Carlet J. Triaging patients to the ICU: a pilot study of factors influencing admission decisions and patient outcomes. Intensive Care Med. 2003;29:774–81.CrossRef
7.
go back to reference Boumendil A, Angus DC, Guitonneau AL, Menn AM, Ginsburg C, Takun K, et al. Variability of intensive care admission decisions for the very elderly. PLoS ONE. 2012;7:e34387.CrossRef Boumendil A, Angus DC, Guitonneau AL, Menn AM, Ginsburg C, Takun K, et al. Variability of intensive care admission decisions for the very elderly. PLoS ONE. 2012;7:e34387.CrossRef
8.
go back to reference Fassier T, Valour E, Colin C, Danet F. Who am I to decide whether this person is to die today? Physicians’ life-or-death decisions for elderly critically ill patients at the emergency department-ICU interface: a qualitative study. Ann Emerg Med. 2016;68(28–39):e3. Fassier T, Valour E, Colin C, Danet F. Who am I to decide whether this person is to die today? Physicians’ life-or-death decisions for elderly critically ill patients at the emergency department-ICU interface: a qualitative study. Ann Emerg Med. 2016;68(28–39):e3.
9.
go back to reference Dahine J, Mardini L, Jayaraman D. The perceived likelihood of outcome of critical care patients and its impact on triage decisions: a case-based survey of intensivists and internists in a Canadian, Quaternary Care Hospital Network. PLoS ONE. 2016;11:e0149196.CrossRef Dahine J, Mardini L, Jayaraman D. The perceived likelihood of outcome of critical care patients and its impact on triage decisions: a case-based survey of intensivists and internists in a Canadian, Quaternary Care Hospital Network. PLoS ONE. 2016;11:e0149196.CrossRef
10.
go back to reference Sprung CL, Baras M, Iapichino G, Kesecioglu J, Lippert A, Hargreaves C, et al. The Eldicus prospective, observational study of triage decision making in European intensive care units: part I-European Intensive Care Admission Triage Scores. Crit Care Med. 2012;40:125–31.CrossRef Sprung CL, Baras M, Iapichino G, Kesecioglu J, Lippert A, Hargreaves C, et al. The Eldicus prospective, observational study of triage decision making in European intensive care units: part I-European Intensive Care Admission Triage Scores. Crit Care Med. 2012;40:125–31.CrossRef
11.
go back to reference Ramos JG, Perondi B, Dias RD, Miranda LC, Cohen C, Carvalho CR, et al. Development of an algorithm to aid triage decisions for intensive care unit admission: a clinical vignette and retrospective cohort study. Crit Care. 2016;20:81.CrossRef Ramos JG, Perondi B, Dias RD, Miranda LC, Cohen C, Carvalho CR, et al. Development of an algorithm to aid triage decisions for intensive care unit admission: a clinical vignette and retrospective cohort study. Crit Care. 2016;20:81.CrossRef
12.
go back to reference Patel AR, Zadravecz FJ, Young RS, Williams MV, Churpek MM, Edelson DP. The value of clinical judgment in the detection of clinical deterioration. JAMA Intern Med. 2015;175:456–8.CrossRef Patel AR, Zadravecz FJ, Young RS, Williams MV, Churpek MM, Edelson DP. The value of clinical judgment in the detection of clinical deterioration. JAMA Intern Med. 2015;175:456–8.CrossRef
13.
go back to reference Sprung CL, Danis M, Iapichino G, Artigas A, Kesecioglu J, Moreno R, et al. Triage of intensive care patients: identifying agreement and controversy. Intensive Care Med. 2013;39:1916–24.CrossRef Sprung CL, Danis M, Iapichino G, Artigas A, Kesecioglu J, Moreno R, et al. Triage of intensive care patients: identifying agreement and controversy. Intensive Care Med. 2013;39:1916–24.CrossRef
14.
go back to reference Sinuff T, Kahnamoui K, Cook DJ, Luce JM, Levy MM, Values E, et al. Rationing critical care beds: a systematic review. Crit Care Med. 2004;32:1588–97.CrossRef Sinuff T, Kahnamoui K, Cook DJ, Luce JM, Levy MM, Values E, et al. Rationing critical care beds: a systematic review. Crit Care Med. 2004;32:1588–97.CrossRef
15.
go back to reference Stelfox HT, Hemmelgarn BR, Bagshaw SM, Gao S, Doig CJ, Nijssen-Jordan C, et al. Intensive care unit bed availability and outcomes for hospitalized patients with sudden clinical deterioration. Arch Intern Med. 2012;172:467–74.CrossRef Stelfox HT, Hemmelgarn BR, Bagshaw SM, Gao S, Doig CJ, Nijssen-Jordan C, et al. Intensive care unit bed availability and outcomes for hospitalized patients with sudden clinical deterioration. Arch Intern Med. 2012;172:467–74.CrossRef
16.
go back to reference Gooch RA, Kahn JM. ICU bed supply, utilization, and health care spending: an example of demand elasticity. JAMA. 2014;311:567–8.CrossRef Gooch RA, Kahn JM. ICU bed supply, utilization, and health care spending: an example of demand elasticity. JAMA. 2014;311:567–8.CrossRef
17.
go back to reference Oerlemans AJ, van Sluisveld N, van Leeuwen ES, Wollersheim H, Dekkers WJ, Zegers M. Ethical problems in intensive care unit admission and discharge decisions: a qualitative study among physicians and nurses in the Netherlands. BMC Med Ethics. 2015;16:9.CrossRef Oerlemans AJ, van Sluisveld N, van Leeuwen ES, Wollersheim H, Dekkers WJ, Zegers M. Ethical problems in intensive care unit admission and discharge decisions: a qualitative study among physicians and nurses in the Netherlands. BMC Med Ethics. 2015;16:9.CrossRef
Metadata
Title
ICU physicians’ and internists’ survival predictions for patients evaluated for admission to the intensive care unit
Authors
Monica Escher
Bara Ricou
Mathieu Nendaz
Fabienne Scherer
Stéphane Cullati
Patricia Hudelson
Thomas Perneger
Publication date
01-12-2018
Publisher
Springer International Publishing
Published in
Annals of Intensive Care / Issue 1/2018
Electronic ISSN: 2110-5820
DOI
https://doi.org/10.1186/s13613-018-0456-9

Other articles of this Issue 1/2018

Annals of Intensive Care 1/2018 Go to the issue