Prognostic value of a modified surprise question designed for use in the emergency department setting
- Author:
Samir A HAYDAR
1
;
Tania D STROUT
;
Alicia G BOND
;
Paul KJ HAN
Author Information
- Publication Type:Original Article
- Keywords: Palliative medicine; Terminal care; Emergency service, hospital; Surprise question
- MeSH: Emergencies; Emergency Service, Hospital; Hospital Mortality; Humans; Intensive Care Units; Logistic Models; Observational Study; Palliative Care; Palliative Medicine; Sensitivity and Specificity; Terminal Care
- From: Clinical and Experimental Emergency Medicine 2019;6(1):70-76
- CountryRepublic of Korea
- Language:English
- Abstract: OBJECTIVE: Few reliable and valid prognostic tools are available to help emergency physicians identify patients who might benefit from early palliative approaches. We sought to determine if responses to a modified version of the surprise question, “Would you be surprised if this patient died in the next 30 days” could predict in-hospital mortality and resource utilization for hospitalized emergency department patients.METHODS: For this observational study, emergency physicians responded to the modified surprise question with each admission over a five-month study period. Logistic regression analyses were completed and standard test characteristics evaluated.RESULTS: 6,122 visits were evaluated. Emergency physicians responded negatively to the modified surprise question in 918 (15.1%). Test characteristics for in-hospital mortality were: sensitivity 32%, specificity 85%, positive predictive value 6%, negative predictive value 98%. The risk of intensive care unit use (relative risk [RR], 1.87; 95% confidence interval [CI], 1.45 to 2.40), use of ‘comfort measures’ orders (RR, 3.43; 95% CI, 2.81 to 4.18), palliative-care consultation (RR, 3.06; 95% CI, 2.62 to 3.56), and in-hospital mortality (RR, 2.18; 95% CI, 1.72 to 2.76) were greater for patients with negative responses.CONCLUSION: The modified surprise question is a simple trigger for palliative care needs, accurately identifying those at greater risk for in-hospital mortality and resource utilization. With a negative predictive value of 98%, affirmative responses to the modified surprise question provide reassurance that in-hospital death is unlikely.
