Pediatric Chronic Critical Illness: Validation, Prevalence, and Impact in a Children's Hospital.

OBJECTIVES: Large populations of chronically critically ill patients test the critical care system's resource utilization ability. Defining and tracking this group is necessary for census predictions. DESIGN: Retrospective cohort analysis. SETTINGS: Tertiary academic center in United States. PATIENTS: Patients admitted to PICU or neonatal ICU. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Demographics and resource utilization variables were sampled in PICU, intermediate care unit, cardiovascular ICU, and neonatal ICU on 3 random days in 3 consecutive months. The attendings' perception of pediatric chronic critical illness was contrasted to Shapiro's definition of chronic critical care criteria. Each unit's active and maximal capacity census was computed: the occurrence rate of pediatric chronic critical illness was 34%, the prevalence was 44.5%, and the tolerance, or percentage pediatric chronic critical illness patients to all available beds, was 36.8%. The median length of stay for the nonpatients with pediatric critical care illness to patients with pediatric critical care illness was 9 versus 46 days (1/5.1). The attending's decision was 58 times more concordant with the criteria. Pediatric chronic critical illness bed occupancy was 40.6% in PICU, 97.2% in intermediate care unit, 47.8% in cardiovascular ICU, and 33.9% in neonatal ICU. CONCLUSIONS: Pediatric chronic critical illness patients occupied more than one third of the ICU beds and have five times longer stay. This mounting load needs to be uniformly defined, addressed at regional and national levels, and considered in the current pandemic planning.

Misalignment between perceptual boundaries and weight categories reflects a new normal for body size perception.

Combatting the current global epidemic of obesity requires that people have a realistic understanding of what a healthy body size looks like. This is a particular issue in different population sub-groups, where there may be increased susceptibility to obesity-related diseases. Prior research has been unable to systematically assess body size judgement due to a lack of attention to gender and race; our study aimed to identify the contribution of these factors. Using a data-driven multi-variate decision tree approach, we varied the gender and race of image stimuli used, and included the same diversity among participants. We adopted a condition-rich categorization visual task and presented participants with 120 unique body images. We show that gender and weight categories of the stimuli affect accuracy of body size perception. The decision pattern reveals biases for male bodies, in which participants showed an increasing number of errors from leaner to bigger bodies, particularly under-estimation errors. Participants consistently mis-categorized overweight male bodies as normal weight, while accurately categorizing normal weight. Overweight male bodies are now perceived as part of an expanded normal: the perceptual boundary of normal weight has become wider than the recognized BMI category. For female bodies, another intriguing pattern emerged, in which participants consistently mis-categorized underweight bodies as normal, whilst still accurately categorizing normal female bodies. Underweight female bodies are now in an expanded normal, in opposite direction to that of males. Furthermore, an impact of race type and gender of participants was also observed. Our results demonstrate that perceptual weight categorization is multi-dimensional, such that categorization decisions can be driven by ultiple factors.

Eye Movement Dynamics Differ between Encoding and Recognition of Faces.

Facial recognition is widely thought to involve a holistic perceptual process, and optimal recognition performance can be rapidly achieved within two fixations. However, is facial identity encoding likewise holistic and rapid, and how do gaze dynamics during encoding relate to recognition? While having eye movements tracked, participants completed an encoding ("study") phase and subsequent recognition ("test") phase, each divided into blocks of one- or five-second stimulus presentation time conditions to distinguish the influences of experimental phase (encoding/recognition) and stimulus presentation time (short/long). Within the first two fixations, several differences between encoding and recognition were evident in the temporal and spatial dynamics of the eye-movements. Most importantly, in behavior, the long study phase presentation time alone caused improved recognition performance (i.e., longer time at recognition did not improve performance), revealing that encoding is not as rapid as recognition, since longer sequences of eye-movements are functionally required to achieve optimal encoding than to achieve optimal recognition. Together, these results are inconsistent with a scan path replay hypothesis. Rather, feature information seems to have been gradually integrated over many fixations during encoding, enabling recognition that could subsequently occur rapidly and holistically within a small number of fixations.