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Purpose: Data on childhood intensive care unit (ICU) deaths are needed to identify changing patterns of intensive care resource utilization. We sought to determine the epidemiology and mode of pediatric ICU deaths in Australia and New Zealand (ANZ)., Methods: This was a retrospective, descriptive study of multicenter data from pediatric and mixed ICUs reported to the ANZ Pediatric Intensive Care Registry and binational Government census. All patients < 16 years admitted to an ICU between 1 January 2006 and 31 December 2016 were included. Primary outcome was ICU mortality. Subject characteristics and trends over time were evaluated., Results: Of 103,367 ICU admissions, there were 2672 (2.6%) deaths, with 87.6% of deaths occurring in specialized pediatric ICUs. The proportion of ANZ childhood deaths occurring in ICU was 12%, increasing by 43% over the study period. Unadjusted (0.1% per year, 95% CI 0.096-0.104; p < 0.001) and risk-adjusted (0.1%/year, 95% CI 0.07-0.13; p < 0.001) ICU mortality rates fell. Across all admission sources and diagnostic groups, mortality declined except following pre-ICU cardiopulmonary arrest where increased mortality was observed. Half of the deaths followed withdrawal of life-sustaining therapy (51%), remaining constant throughout the study. Deaths despite maximal resuscitation declined (0.92%/year, 95% CI 0.89-0.95%; p < 0.001) and brain death diagnoses increased (0.72%/year, 95% CI 0.69-0.75%; p = 0.001)., Conclusions: Unadjusted and risk-adjusted mortality for children admitted to ANZ ICUs is declining. Half of pediatric ICU deaths follow withdrawal of life-sustaining therapy. Epidemiology and mode of pediatric ICU death are changing. Further investigation at an international level will inform benchmarking, resource allocation and training requirements for pediatric critical care.

Objective: To determine types, sources, and predictors of conflicts among patients with prolonged stay in the ICU., Design and Setting: We prospectively identified conflicts by interviewing treating physicians and nurses at two stages during the patients' stays. We then classified conflicts by type and source and used a case-control design to identify predictors of team-family conflicts., Design and Setting: Seven medical and surgical ICUs at four teaching hospitals in Boston, USA., Patients: All patients admitted to the participating ICUs over an 11-month period whose stay exceeded the 85th percentile length of stay for their respective unit ( n=656)., Measurements and Results: Clinicians identified 248 conflicts involving 209 patients; hence, nearly one-third of patients had conflict associated with their care: 142 conflicts (57%) were team-family disputes, 76 (31%) were intrateam disputes, and 30 (12%) occurred among family members. Disagreements over life-sustaining treatment led to 63 team-family conflicts (44%). Other leading sources were poor communication (44%), the unavailability of family decision makers (15%), and the surrogates' (perceived) inability to make decisions (16%). Nurses detected all types of conflict more frequently than physicians, especially intrateam conflicts. The presence of a spouse reduced the probability of team-family conflict generally (odds ratio 0.64) and team-family disputes over life-sustaining treatment specifically (odds ratio 0.49)., Conclusions: Conflict is common in the care of patients with prolonged stays in the ICU. However, efforts to improve the quality of care for critically ill patients that focus on team-family disagreements over life-sustaining treatment miss significant discord in a variety of other areas.