Literature DB >> 33458684

SURvival PRediction In SEverely Ill Patients Study-The Prediction of Survival in Critically Ill Patients by ICU Physicians.

Marijke M Ros1, Hester J van der Zaag-Loonen2, José G M Hofhuis1,2, Peter E Spronk1,2.   

Abstract

The surprise question, "Would I be surprised if this patient died in the next 12 months?" is a tool to identify patients at high risk of death in the next year. Especially in the situation of an ICU admission, it is important to recognize patients who could and could not have the benefits of an intensive treatment in the ICU department. DESIGN AND
SETTING: A single-center, prospective, observational cohort study was conducted between April 2013 and April 2018, in ICU Gelre hospitals, location Apeldoorn. PATIENTS: A total of 3,140 patients were included (57% male) with a mean age of 63.5 years. Seven-hundred thirteen patients (23%) died within 1 year.
INTERVENTIONS: The physician answered three different surprise question's with either "yes" or "no": "I expect that the patient is going to survive the ICU admission" (surprise question 1), "I expect that the patient is going to survive the hospital stay" (surprise question 2), and "I expect that the patient is going to survive one year after ICU admission" (surprise question 3). We tested positive and negative predicted values of the surprise questions, the mean accuracy of the surprise questions, and kappa statistics.
MEASUREMENTS AND MAIN RESULTS: The positive and negative predictive values of the surprise questions for ICU admission, hospital admission, and 1-year survival were, respectively, 64%/94%, 59%/92%, and 60%/86%. Accordingly, the mean accuracy and kappa statistics were 93% (95% CI, 92-94%), κ equals to 0.43, 89% (95% CI, 88-90%), κ equals to 0.40, and 81% (95% CI, 80-82%), κ equals to 0.43.
CONCLUSIONS: The frequently overlooked simple and cheap surprise question is probably an useful tool to evaluate the prognosis of acutely admitted critically ill patients.
Copyright © 2021 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine.

Entities:  

Keywords:  (hospital) mortality; critical care; intensive care units; palliative medicine; patient-centered care; survival analysis

Year:  2021        PMID: 33458684      PMCID: PMC7803926          DOI: 10.1097/CCE.0000000000000317

Source DB:  PubMed          Journal:  Crit Care Explor        ISSN: 2639-8028


  15 in total

1.  Data Resource Profile: the Dutch National Intensive Care Evaluation (NICE) Registry of Admissions to Adult Intensive Care Units.

Authors:  Nick van de Klundert; Rebecca Holman; Dave A Dongelmans; Nicolette F de Keizer
Journal:  Int J Epidemiol       Date:  2015-11-27       Impact factor: 7.196

2.  The "Surprise Question" Asked of Emergency Physicians May Predict 12-Month Mortality among Older Emergency Department Patients.

Authors:  Kei Ouchi; Guru Jambaulikar; Naomi R George; Wanlu Xu; Ziad Obermeyer; Emily L Aaronson; Jeremiah D Schuur; Mara A Schonberg; James A Tulsky; Susan D Block
Journal:  J Palliat Med       Date:  2017-08-28       Impact factor: 2.947

3.  Derivation and Validation of a Prognostic Model to Predict 6-Month Mortality in an Intensive Care Unit Population.

Authors:  Sarah Hadique; Stacey Culp; Rahul G Sangani; Kyle D Chapman; Saad Khan; John E Parker; Alvin H Moss
Journal:  Ann Am Thorac Soc       Date:  2017-10

Review 4.  The "surprise question" for predicting death in seriously ill patients: a systematic review and meta-analysis.

Authors:  James Downar; Russell Goldman; Ruxandra Pinto; Marina Englesakis; Neill K J Adhikari
Journal:  CMAJ       Date:  2017-04-03       Impact factor: 8.262

5.  APACHE-acute physiology and chronic health evaluation: a physiologically based classification system.

Authors:  W A Knaus; J E Zimmerman; D P Wagner; E A Draper; D E Lawrence
Journal:  Crit Care Med       Date:  1981-08       Impact factor: 7.598

6.  Utility of the "surprise" question to identify dialysis patients with high mortality.

Authors:  Alvin H Moss; Jesse Ganjoo; Sanjay Sharma; Julie Gansor; Sharon Senft; Barbara Weaner; Cheryl Dalton; Karen MacKay; Beth Pellegrino; Priya Anantharaman; Rebecca Schmidt
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7.  Would You Be Surprised if This Patient Died in the Next 12 Months? Using the Surprise Question to Increase Palliative Care Consults From the Emergency Department.

Authors:  Henry Zeng; Paul Eugene; Mark Supino
Journal:  J Palliat Care       Date:  2019-08-08       Impact factor: 2.250

8.  Prognostic value of a modified surprise question designed for use in the emergency department setting.

Authors:  Samir A Haydar; Tania D Strout; Alicia G Bond; Paul Kj Han
Journal:  Clin Exp Emerg Med       Date:  2019-03-28

9.  Estimating long-term survival of critically ill patients: the PREDICT model.

Authors:  Kwok M Ho; Matthew Knuiman; Judith Finn; Steven A Webb
Journal:  PLoS One       Date:  2008-09-17       Impact factor: 3.240

Review 10.  How accurate is the 'Surprise Question' at identifying patients at the end of life? A systematic review and meta-analysis.

Authors:  Nicola White; Nuriye Kupeli; Victoria Vickerstaff; Patrick Stone
Journal:  BMC Med       Date:  2017-08-02       Impact factor: 8.775

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  3 in total

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Authors:  Balasaheb Bande
Journal:  Indian J Crit Care Med       Date:  2022

2.  The Surprise Question as a Trigger for Primary Palliative Care Interventions for Children with Advanced Heart Disease.

Authors:  Faraz Alizadeh; Emily Morell; Kevin Hummel; Yunhong Wu; David Wypij; Danes Matthew; Paul Esteso; Katie Moynihan; Elizabeth D Blume
Journal:  Pediatr Cardiol       Date:  2022-05-03       Impact factor: 1.838

Review 3.  Ethical Lessons from an Intensivist's Perspective.

Authors:  Jean-Louis Vincent
Journal:  J Clin Med       Date:  2022-03-15       Impact factor: 4.241

  3 in total

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