Diagnostic accuracy of ePOS score in predicting DNR labeling after ICU admission: A prospective observational study (ePOS-DNR).

Background: Resuscitation can sometimes be futile and making a do-not-resuscitate (DNR) decision is in the best interest of the patient. The electronic poor outcome screening (ePOS) score was developed to predict 6-month poor outcomes of critically ill patients. We explored the diagnostic accuracy of the ePOS score in predicting DNR decisions in the intensive care unit (ICU).

Methods: This study was conducted at the ICU of a tertiary referral hospital in Saudi Arabia between March and May 2023. Prospectively, we calculated ePOS scores for all eligible consecutive admissions after 48 h in the ICU and recorded the DNR orders. The ability of the score to predict DNR was explored using logistic regression. Youden's ideal cut-off value was calculated using the DeLong method, and different diagnostic accuracy measures were generated with corresponding 95 % confidence intervals (CIs).

Results: We enrolled 857 patients, 125 received a DNR order and 732 did not. The average ePOS score of DNR and non-DNR patients was 28.2±10.7 and 15.2±9.7, respectively. ePOS score, as a predictor of DNR order, had an area under receiver operator characteristic (AUROC) curve of 81.8 % (95% CI: 79.0 to 84.3, <0.001). Youden's ideal cut-off value >17 was associated with a sensitivity of 87.2 (95% CI: 80.0 to 92.5, <0.001), specificity of 63.9 (95% CI: 60.3 to 67.4, <0.001), positive predictive value of 29.2 (95% CI: 24.6 to 33.8, <0.001), negative predictive value of 96.7 (95% CI: 95.1 to 98.3, <0.001), and diagnostic odds ratio 12.1 (95% CI: 7.0 to 20.8, <0.001).

Conclusions: In this study, the ePOS score performed well as a diagnostic test for patients who will be labeled as DNR during their ICU stay. A cut-off score >17 may help guide clinical decisions to withhold or commence resuscitative measures.