SURvival PRediction In SEverely Ill Patients Study—The Prediction of Survival in Critically Ill Patients by ICU Physicians
Objectives:. 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 benefi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer
2021-01-01
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| Series: | Critical Care Explorations |
| Online Access: | http://journals.lww.com/10.1097/CCE.0000000000000317 |
| _version_ | 1826580757418606592 |
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| author | Marijke M. Ros, MD Hester J. van der Zaag-Loonen, MD, PhD José G.M. Hofhuis, PhD Peter E. Spronk, MD |
| author_facet | Marijke M. Ros, MD Hester J. van der Zaag-Loonen, MD, PhD José G.M. Hofhuis, PhD Peter E. Spronk, MD |
| author_sort | Marijke M. Ros, MD |
| collection | DOAJ |
| description | Objectives:. 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. |
| first_indexed | 2024-12-22T20:57:02Z |
| format | Article |
| id | doaj.art-13be36acee3b4bb0bed1dbfba8288290 |
| institution | Directory Open Access Journal |
| issn | 2639-8028 |
| language | English |
| last_indexed | 2025-03-14T14:39:15Z |
| publishDate | 2021-01-01 |
| publisher | Wolters Kluwer |
| record_format | Article |
| series | Critical Care Explorations |
| spelling | doaj.art-13be36acee3b4bb0bed1dbfba82882902025-02-26T05:48:01ZengWolters KluwerCritical Care Explorations2639-80282021-01-0131e031710.1097/CCE.0000000000000317202101000-00013SURvival PRediction In SEverely Ill Patients Study—The Prediction of Survival in Critically Ill Patients by ICU PhysiciansMarijke M. Ros, MD0Hester J. van der Zaag-Loonen, MD, PhD1José G.M. Hofhuis, PhD2Peter E. Spronk, MD31 Department of Intensive Care Medicine, Gelre Hospitals, Apeldoorn, The Netherlands.2 Department of Epidemiology, Expertise Center for Intensive care Rehabilitation Apeldoorn (ExpIRA), Apeldoorn, The Netherlands.1 Department of Intensive Care Medicine, Gelre Hospitals, Apeldoorn, The Netherlands.1 Department of Intensive Care Medicine, Gelre Hospitals, Apeldoorn, The Netherlands.Objectives:. 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.http://journals.lww.com/10.1097/CCE.0000000000000317 |
| spellingShingle | Marijke M. Ros, MD Hester J. van der Zaag-Loonen, MD, PhD José G.M. Hofhuis, PhD Peter E. Spronk, MD SURvival PRediction In SEverely Ill Patients Study—The Prediction of Survival in Critically Ill Patients by ICU Physicians Critical Care Explorations |
| title | SURvival PRediction In SEverely Ill Patients Study—The Prediction of Survival in Critically Ill Patients by ICU Physicians |
| title_full | SURvival PRediction In SEverely Ill Patients Study—The Prediction of Survival in Critically Ill Patients by ICU Physicians |
| title_fullStr | SURvival PRediction In SEverely Ill Patients Study—The Prediction of Survival in Critically Ill Patients by ICU Physicians |
| title_full_unstemmed | SURvival PRediction In SEverely Ill Patients Study—The Prediction of Survival in Critically Ill Patients by ICU Physicians |
| title_short | SURvival PRediction In SEverely Ill Patients Study—The Prediction of Survival in Critically Ill Patients by ICU Physicians |
| title_sort | survival prediction in severely ill patients study the prediction of survival in critically ill patients by icu physicians |
| url | http://journals.lww.com/10.1097/CCE.0000000000000317 |
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