Would you be surprised? Prospective multicenter study of the Surprise Question as a screening tool to predict mortality in trauma patients
Copyright © 2023 American Association for the Surgery of Trauma..
BACKGROUND: The Surprise Question (SQ) ("Would I be surprised if the patient died within the next year?") is a validated tool used to identify patients with limited life expectancy. Because it may have potential to expedite palliative care interventions per American College of Surgeons Trauma Quality Improvement Program Palliative Care Best Practices Guidelines, we sought to determine if trauma team members could use the SQ to accurately predict 1-year mortality in trauma patients.
METHODS: A multicenter, prospective, cohort study collected data (August 2020 to February 2021) on trauma team members' responses to the SQ at 24 hours from admission. One-year mortality was obtained via social security death index records. Positive/negative predictive values and accuracy were calculated overall, by provider role and by patient age.
RESULTS: Ten Level I/II centers enrolled 1,172 patients (87.9% blunt). The median age was 57 years (interquartile range, 36-74 years), and the median Injury Severity Score was 10 (interquartile range, 5-14 years). Overall 1-year mortality was 13.3%. Positive predictive value was low (30.5%) regardless of role. Mortality prediction minimally improved as age increased (positive predictive value highest between 65 and 74 years old, 34.5%) but consistently trended to overprediction of death, even in younger patients.
CONCLUSION: Trauma team members' ability to forecast 1-year mortality using the SQ at 24 hours appears limited perhaps because of overestimation of injury effects, preinjury conditions, and/or team bias. This has implications for the Trauma Quality Improvement Program Guidelines and suggests that more research is needed to determine the optimal time to screen trauma patients with the SQ.
LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level III.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:96 |
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| Enthalten in: |
The journal of trauma and acute care surgery - 96(2024), 1 vom: 01. Jan., Seite 35-43 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Hoffman, Melissa Red [VerfasserIn] |
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| Anmerkungen: |
Date Completed 16.12.2023 Date Revised 20.02.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1097/TA.0000000000004151 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM363507337 |
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| 100 | 1 | |a Hoffman, Melissa Red |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Would you be surprised? Prospective multicenter study of the Surprise Question as a screening tool to predict mortality in trauma patients |
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| 500 | |a Date Completed 16.12.2023 | ||
| 500 | |a Date Revised 20.02.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2023 American Association for the Surgery of Trauma. | ||
| 520 | |a BACKGROUND: The Surprise Question (SQ) ("Would I be surprised if the patient died within the next year?") is a validated tool used to identify patients with limited life expectancy. Because it may have potential to expedite palliative care interventions per American College of Surgeons Trauma Quality Improvement Program Palliative Care Best Practices Guidelines, we sought to determine if trauma team members could use the SQ to accurately predict 1-year mortality in trauma patients | ||
| 520 | |a METHODS: A multicenter, prospective, cohort study collected data (August 2020 to February 2021) on trauma team members' responses to the SQ at 24 hours from admission. One-year mortality was obtained via social security death index records. Positive/negative predictive values and accuracy were calculated overall, by provider role and by patient age | ||
| 520 | |a RESULTS: Ten Level I/II centers enrolled 1,172 patients (87.9% blunt). The median age was 57 years (interquartile range, 36-74 years), and the median Injury Severity Score was 10 (interquartile range, 5-14 years). Overall 1-year mortality was 13.3%. Positive predictive value was low (30.5%) regardless of role. Mortality prediction minimally improved as age increased (positive predictive value highest between 65 and 74 years old, 34.5%) but consistently trended to overprediction of death, even in younger patients | ||
| 520 | |a CONCLUSION: Trauma team members' ability to forecast 1-year mortality using the SQ at 24 hours appears limited perhaps because of overestimation of injury effects, preinjury conditions, and/or team bias. This has implications for the Trauma Quality Improvement Program Guidelines and suggests that more research is needed to determine the optimal time to screen trauma patients with the SQ | ||
| 520 | |a LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level III | ||
| 650 | 4 | |a Multicenter Study | |
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Slivinski, Andrea |e verfasserin |4 aut | |
| 700 | 1 | |a Shen, Yan |e verfasserin |4 aut | |
| 700 | 1 | |a Watts, Dorraine D |e verfasserin |4 aut | |
| 700 | 1 | |a Wyse, Ransom J |e verfasserin |4 aut | |
| 700 | 1 | |a Garland, Jeneva M |e verfasserin |4 aut | |
| 700 | 1 | |a Fakhry, Samir M |e verfasserin |4 aut | |
| 700 | 0 | |a Surprise Question in Trauma Research Group |e verfasserin |4 aut | |
| 700 | 1 | |a Tarbox, Vanessa |e investigator |4 oth | |
| 700 | 1 | |a Kurek, Stanley J |e investigator |4 oth | |
| 700 | 1 | |a Hoffman, Melissa |e investigator |4 oth | |
| 700 | 1 | |a Slivinski, Andrea |e investigator |4 oth | |
| 700 | 1 | |a Berg, Gina M |e investigator |4 oth | |
| 700 | 1 | |a Shaddix, Jamie L |e investigator |4 oth | |
| 700 | 1 | |a Dunne, James R |e investigator |4 oth | |
| 700 | 1 | |a Eversley-Kelso, Tatiana R |e investigator |4 oth | |
| 700 | 1 | |a Kerley, David |e investigator |4 oth | |
| 700 | 1 | |a Nagy, Roger |e investigator |4 oth | |
| 700 | 1 | |a Moreau, Shawn |e investigator |4 oth | |
| 700 | 1 | |a Timmer, Jeremy |e investigator |4 oth | |
| 700 | 1 | |a Evans, Alex |e investigator |4 oth | |
| 700 | 1 | |a Gibson, Andrea |e investigator |4 oth | |
| 700 | 1 | |a Lieser, Mark J |e investigator |4 oth | |
| 700 | 1 | |a Chipko, John M |e investigator |4 oth | |
| 700 | 1 | |a Carrick, Matthew |e investigator |4 oth | |
| 700 | 1 | |a Rodkey, Kathy |e investigator |4 oth | |
| 700 | 1 | |a Rembisz, Adam |e investigator |4 oth | |
| 700 | 1 | |a Kromer, Mark |e investigator |4 oth | |
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