Objectives: The Pediatric Logistic Organ Dysfunction-2 is a validated score that quantifies organ dysfunction severity and requires complex data collection that is time-consuming and subject to errors. We hypothesized that a computer algorithm that automatically collects and calculates the Pediatric Logistic Organ Dysfunction-2 (aPELOD-2) score would be valid, fast and at least as accurate as a manual approach (mPELOD-2). Design: Retrospective cohort study. Setting: Single center tertiary medical and surgical pediatric critical care unit (Sainte-Justine Hospital, Montreal, Canada). Patients: Critically ill children participating in four clinical studies between January 2013 and August 2018, a period during which mPELOD-2 data were manually collected. Interventions: None. Measurements and Main Results: The aPELOD-2 was calculated for all consecutive admissions between 2013 and 2018 (n = 5,279) and had a good survival discrimination with an area under the receiver operating characteristic curve of 0.84 (95% CI, 0.81–0.88). We also collected data from four single-center studies in which mPELOD-2 was calculated (n = 796, 57% medical, 43% surgical) and compared these measurements to those of the aPELOD-2. For those patients, median age was 15 months (interquartile range, 3–73 mo), median ICU stay was 5 days (interquartile range, 3–9 d), mortality was 3.9% (n = 28). The intraclass correlation coefficient between mPELOD-2 and aPELOD-2 was 0.75 (95% CI, 0.73–0.77). The Bland-Altman showed a bias of 1.9 (95% CI, 1.7–2) and limits of agreement of –3.1 (95% CI, –3.4 to –2.8) to 6.8 (95% CI, 6.5–7.2). The highest agreement (Cohen’s Kappa) of the Pediatric Logistic Organ Dysfunction-2 components was noted for lactate level (0.88), invasive ventilation (0.86), and creatinine level (0.82) and the lowest for the Glasgow Coma Scale (0.52). The proportion of patients with multiple organ dysfunction syndrome was higher for aPELOD-2 (78%) than mPELOD-2 (72%; p = 0.002). The aPELOD-2 had a better survival discrimination (area under the receiver operating characteristic curve, 0.81; 95% CI, 0.72–0.90) over mPELOD-2 (area under the receiver operating characteristic curve, 0.70; 95% CI, 0.59–0.82; p = 0.01). Conclusions: We successfully created a freely available automatic algorithm to calculate the Pediatric Logistic Organ Dysfunction-2 score that is less labor intensive and has better survival discrimination than the manual calculation. Use of an automated system could greatly facilitate integration of the Pediatric Logistic Organ Dysfunction-2 score at the bedside and within clinical decision support systems.

Background Discussing goals of care with heart failure patients is recommended but is not done systematically, due to factors such as time and personal beliefs. A recent survey showed that one-fifth of clinicians believe that implantable cardioverter defibrillator deactivation (ICDD) is unethical or constitutes physician-assisted suicide. We investigated whether individuals’ characteristics are associated with these beliefs. Methods The Decision-Making About Goals of Care for Hospitalize d Pati e nts With H eart F ailure (DECIDE-HF) survey was given to healthcare providers at 9 hospitals to assess their perceived barriers to goals-of-care discussions. The association between respondent characteristics and their beliefs was examined using 2 adjusted logistic regression models. Results We included 760 clinicians (459 nurses, 94 fellows, and 207 cardiologists). The responses varied among professions, with the belief that ICDD is unethical considered to be important barrier by nurses (24%), fellows (10%), and staff (7%); P < 0.001). After adjusting for site, spirituality being more important in life (odds ratio [OR]: 2.21; 95% confidence interval [CI]:1.37-3.56; P = 0.001, compared to less important), region of training (Asia [OR: 5.88; 95% CI: 2.12-16.31; P = 0.001] and Middle East [OR: 5.55; 95% CI:1.57-19.63; P = 0.008] compared to Canada), and years in practice (OR: 1.32; 95% CI: 1.07-1.63; P = 0.01 per decade) influenced beliefs about ICDD being unethical, with similar results for the belief that ICDD represents physician-assisted suicide. Conclusions Sociocultural factors, region of training, and profession influence clinicians’ beliefs about ICDD being unethical and representing physician-assisted suicide. These factors and beliefs must be acknowledged when facing the delicate issue of end-of-life discussion.