biased results toward the null by overestimating control group mortality and powering for unrealistic treatment effects. Clinically important treatment effects often cannot be excluded. Overnight physician staffing in the ICU has been recommended by the Society of Critical Care Medicine and the Leapfrog Consortium. We conducted a survey to review practice in the current era and to compare this with results from a 2006 survey. Cross-sectional survey. Canadian adult ICUs. ICU directors. None. A 29-question survey was sent to ICU directors describing overnight staffing by residents, fellows, nurse practitioners, and staff physicians, as well as duty duration, clinical responsibilities, and unit characteristics. https://www.selleckchem.com/products/hs148.html We established contact with 122 ICU directors, of whom 107 (88%) responded. Of the 107 units, 60 (56%) had overnight in-house physicians. Compared with ICUs without overnight in-house physician coverage, ICUs with in-house physicians were in larger hospitals (p < 0.0001), had more beds (p < 0.0001), had more ventilated patients (p < 0.0001), and had more admissions (p < 0.0001). Overnight in-house physicians were first year residents (R1) in 20 of 60 (33%), second not changed significantly over the decade since our 2006 survey. Additional evidence about patient and resident outcomes would better inform decisions to revise physician scheduling in Canadian ICUs. To determine the relationship between preadmission glycemia, reflected by hemoglobin A1c level, glucose metrics, and mortality in critically ill patients. Retrospective cohort investigation. University affiliated adult medical-surgical ICU. The investigation included 5,567 critically ill patients with four or more blood glucose tests and hemoglobin A1c level admitted between October 11, 2011 and November 30, 2019. The target blood glucose level was 90-120 mg/dL for patients admitted before September 14, 2014 (n = 1,614) and 80-140 mg/dL or 110-160 mg/dL for patients with hemoglobin A1c less than 7% or greater than or equal to 7% (n = 3,953), respectively, subsequently. None. Patients were stratified by hemoglobin A1c less than 6.5.(n = 4,406), 6.5-7.9% (n = 711), and greater than or equal to 8.0% (n = 450). Increasing hemoglobin A1c levels were associated with significant increases in mean glycemia, glucose variability, as measured by coefficient of variation, and hypoglycemia (p for trend < 0. decreased risk of mortality (p = 0.0358). Preadmission glycemia, reflected by hemoglobin A1c obtained at the onset of ICU admission, has a significant effect on the relationship of ICU glycemia to mortality. The different responses to increasing mean glycemia support a personalized approach to glucose control practices in the ICU. Preadmission glycemia, reflected by hemoglobin A1c obtained at the onset of ICU admission, has a significant effect on the relationship of ICU glycemia to mortality. The different responses to increasing mean glycemia support a personalized approach to glucose control practices in the ICU. The influence of different forms of treatment limitation on mortality rate in the ICU is not known despite the common use of the latter as a quality indicator. The aim of the present study was to assess the prevalence of treatment limitation and its influence on ICU mortality rate. Primary outcomes were prevalence of treatment limitation and its influence on severity-adjusted ICU mortality rate. Secondary outcomes included the association of limitation with age, sex, type of admission, diagnostic group, treatment intensity, and length of ICU stay. Retrospective, observational study. All Swiss adult ICUs. None. A total of 166,764 patients were admitted to an ICU in 2016 and 2017. Of these, 9139 were excluded because of readmission or invalid coding. Of 157,625 ICU patients, 20,916 (13.3%) had a fully defined treatment limitation. Among this group, treatment limitation was defined upon ICU admission in 12,854 (61%), the decision to limit treatment was based on the patient's advance directives in 9,951 (48%), and in 15,341 (73%), there was a decision to deliberately withhold certain treatment modalities. The mortality odds ratio for the group with a treatment limitation, considering relevant cofactors, was 18.1 (95% CI 16.8-19.4). Every seventh patient in a Swiss ICU has some kind of treatment limitation, and this most probably affects the severity-adjusted mortality rate. Thus, mortality data as a quality indicator or benchmark in intensive care can only meaningfully be interpreted if existence, grade, cause, and time of treatment limitation are taken into account. Every seventh patient in a Swiss ICU has some kind of treatment limitation, and this most probably affects the severity-adjusted mortality rate. Thus, mortality data as a quality indicator or benchmark in intensive care can only meaningfully be interpreted if existence, grade, cause, and time of treatment limitation are taken into account. Delirium occurs frequently in critically ill children, with highest rates reported in children under 5 years old. The objective of this study was to measure the residual effect of delirium on quality of life at 1 and 3 months after hospital discharge. Prospective observational cohort study. Urban academic PICU. Children younger than five years of age at time of admission to the PICU. All children were screened for delirium (using the Cornell Assessment for Pediatric Delirium) throughout their stay in the PICU. Quality of life was measured using the Infant-Toddler Quality of Life questionnaire at three time points baseline, 1 month, and 3 months after hospital discharge. Infant-Toddler Quality of Life scores were compared between children who did and did not develop delirium. Two hundred seven children were enrolled. One hundred twenty-two completed the 1-month follow-up, and 117 completed the 3-month follow-up. Fifty-six children (27%) developed delirium during their PICU stay. At follow-up, Infant-Toddler Quality of Life scores for the PICU cohort overall were consistently lower than age-related norms. When analyzed by delirium status, children who had experienced delirium scored lower in every quality of life domain when compared with children who did not experience delirium. Even after controlling for severity of illness, delirious patients demonstrated an average 11-point lower general health score than nondelirious patients (p = 0.029). This pilot study shows an independent association between delirium and decreased quality of life after hospital discharge in young children. This pilot study shows an independent association between delirium and decreased quality of life after hospital discharge in young children.