ABSTRACT
OBJECTIVES: This study aims to test the ability of the surprise question (SQ), when asked to emergency physicians (EPs), to predict in-hospital mortality among adults admitted to an emergency room (ER). METHODS: This prospective cohort study at an academic medical centre included consecutive patients 18 years or older who received care in the ER and were subsequently admitted to the hospital from 20 April 2018 to 20 October 2018. EPs were required to answer the SQ for all patients who were being admitted to hospital. The primary outcome was in-hospital mortality. RESULTS: The cohort included 725 adults (mean (SD) age, 60 (17) years, 51% men) from 58 128 emergency department (ED) visits. The mortality rates were 20.6% for 30-day all-cause in-hospital mortality and 23.6% for in-hospital mortality. The diagnostic test characteristics of the SQ have a sensitivity of 53.7% and specificity of 87.1%, and a relative risk of 4.02 (95% CI 3.15 to 5.13), p<0.01). The positive and negative predictive values were 57% and 86%, respectively; the positive likelihood ratio was 4.1 and negative likelihood ratio was 0.53; and the accuracy was 79.2%. CONCLUSIONS: We found that asking the SQ to EPs may be a useful tool to identify patients in the ED with a high risk of in-hospital mortality.
ABSTRACT
Despite the severity of pneumonia in patients with pandemic influenza A infection (H1N1), no validated risk scores associated with H1N1 pneumonia were tested. In this prospective observational study, we analyzed data of consecutive patients in our emergency room, hospitalized because of pneumonia between July and August 2009 in a public hospital in Brazil. The following pneumonia scoring systems were applied: the SMART-COP rule; the Pneumonia Severity Index; and the CURB-65 rule. Of 105 patients with pneumonia, 53 had H1N1 infection. Among them, only 9.5% that had a low risk according to SMART-COP were admitted to ICU, compared with 36.8% of those with the Pneumonia Severity Index score of 1-2 and 49% of those with CURB-65 score of 0-1. The SMART-COP had an accuracy of 83% to predict ICU admission. The SMART-COP rule presented the best performance to indicate ICU admission in patients with H1N1 pneumonia.
