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, P <0.001). Youden's ideal cut-off value >17 was associated with a sensitivity of 87.2 (95% CI: 80.0 to 92.5, P <0.001), specificity of 63.9 (95% CI: 60.3 to 67.4, P <0.001), positive predictive value of 29.2 (95% CI: 24.6 to 33.8, P <0.001), negative predictive value of 96.7 (95% CI: 95.1 to 98.3, P <0.001), and diagnostic odds ratio 12.1 (95% CI: 7.0 to 20.8, P <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.

Tele-Rapid Response Team (Tele-RRT): The effect of implementing patient safety network system on outcomes of medical patients-A before and after cohort study.

BACKGROUND: Rapid Response Teams were developed to provide interventions for deteriorating patients. Their activation depends on timely detection of deterioration. Automated calculation of warning scores may lead to early recognition, and improvement of RRT effectiveness. METHOD: This was a "Before" and "After" study, in the "Before" period ward nurses activated RRT after manually recording vital signs and calculating warning scores. In the "After" period, vital signs and warning calculations were automatically relayed to RRT through a wireless monitoring network. RESULTS: When compared to the before group, the after group had significantly lower incidence and rate of cardiopulmonary resuscitation (CPR) (2.3 / 1000 inpatient days versus 3.8 / 1000 inpatient days respectively, p = 0.01), significantly shorter length of hospital stay and lower hospital mortality, but significantly higher number of RRT activations. In multivariable logistic regression model, being in the "After" group decreases odds of CPR by 33% (OR = 0.67 [95% CI: 0.46-0.99]; p = 0.04). There was no difference between groups in ICU admission. CONCLUSION: Automated activation of the RRT significantly reduced CPR events and rates, improved CPR success rate, reduced hospital length of stay and mortality, but increased the number of RRT activations. There were no differences in unplanned ICU admission or readmission.

Early Versus Late DNR Orders and its Predictors in a Saudi Arabian ICU: A Descriptive Study.

Background: Practices of Do-Not-Resuscitate (DNR) orders show discrepancies worldwide, but there are only few such studies from Saudi Arabia. Objective: To describe the practice of DNR orders in a Saudi Arabian tertiary care ICU. Methods: This retrospective study included all patients who died with a DNR order at the ICU of King Saud Medical City, Riyadh, Saudi Arabia, between January 1 to December 31, 2021. The percentage of early DNR (i.e., ≤48 hours of ICU admission) and late DNR (>48 hours) orders were determined and the variables between the two groups were compared. The determinants of late DNR were also investigated. Results: A total of 723 cases met the inclusion criteria, representing 14.9% of all ICU discharges and 63% of all ICU deaths during the study period. The late DNR group comprised the majority of the cases (78.3%), and included significantly more patients with acute respiratory distress syndrome (ARDS), community acquired pneumonia (CAP), acute kidney injury, and COVID-19, and significantly fewer cases of readmissions and malignancies. Septic shock lowered the odds of a late DNR (OR = 0.4, 95% CI: 0.2-0.9;P= 0.02), while ARDS (OR = 3.3, 95% CI: 2-5.4;P < 0.001), ischemic stroke (OR = 2.5, 95% CI: 1.1-5.4;P= 0.02), and CAP (OR = 2, 95% CI: 1.3-3.1;P= 0.003) increased the odds of a late DNR. Conclusion: There was a higher frequency of late DNR orders in our study compared to those reported in several studies worldwide. Cases with potential for a favorable outcome were more likely to have a late DNR order, while those with expected poorer outcomes were more likely to have an early DNR order. The discrepancies highlight the need for clearer guidelines to achieve consistency.