Evidence-Based Pediatric Outcome Predictors to Guide the Allocation of Critical Care Resources in a Mass Casualty Event

Objective: ICU resources may be overwhelmed by a mass casualty event, triggering a conversion to Crisis Standards of Care in which critical care support is diverted away from patients least likely to benefit, with the goal of improving population survival. We aimed to devise a Crisis Standards of Care triage allocation scheme specifically for children. Design: A triage scheme is proposed in which patients would be divided into those requiring mechanical ventilation at PICU presentation and those not, and then each group would be evaluated for probability of death and for predicted duration of resource consumption, specifically, duration of PICU length of stay and mechanical ventilation. Children will be excluded from PICU admission if their mortality or resource utilization is predicted to exceed predetermined levels (“high risk”), or if they have a low likelihood of requiring ICU support (“low risk”). Children entered into the Virtual PICU Performance Systems database were employed to develop prediction equations to assign children to the exclusion categories using logistic and linear regression. Machine Learning provided an alternative strategy to develop a triage scheme independent from this process. Setting: One hundred ten American PICUs Subjects: One hundred fifty thousand records from the Virtual PICU database. Interventions: None. Measurements and Main Results: The prediction equations for probability of death had an area under the receiver operating characteristic curve more than 0.87. The prediction equation for belonging to the low-risk category had lower discrimination. R2 for the prediction equations for PICU length of stay and days of mechanical ventilation ranged from 0.10 to 0.18. Machine learning recommended initially dividing children into those mechanically ventilated versus those not and had strong predictive power for mortality, thus independently verifying the triage sequence and broadly verifying the algorithm. Conclusion: An evidence-based predictive tool for children is presented to guide resource allocation during Crisis Standards of Care, potentially improving population outcomes by selecting patients likely to benefit from short-duration ICU interventions. (Pediatr Crit Care Med 2015; XX:00–00) Key Words: intensive care unit length of stay; intensive care unit mortality; mass casualty; palliative care; pandemic preparedness; triag

Deweyan tools for inquiry and the epistemological context of critical pedagogy

This article develops the notion of resistance as articulated in the literature of critical pedagogy as being both culturally sponsored and cognitively manifested. To do so, the authors draw upon John Dewey\u27s conception of tools for inquiry. Dewey provides a way to conceptualize student resistance not as a form of willful disputation, but instead as a function of socialization into cultural models of thought that actively truncate inquiry. In other words, resistance can be construed as the cognitive and emotive dimensions of the ongoing failure of institutions to provide ideas that help individuals both recognize social problems and imagine possible solutions. Focusing on Dewey\u27s epistemological framework, specifically tools for inquiry, provides a way to grasp this problem. It also affords some innovative solutions; for instance, it helps conceive of possible links between the regular curriculum and the study of specific social justice issues, a relationship that is often under-examined. The aims of critical pedagogy depend upon students developing dexterity with the conceptual tools they use to make meaning of the evidence they confront; these are background skills that the regular curriculum can be made to serve even outside social justice-focused curricula. Furthermore, the article concludes that because such inquiry involves the exploration and potential revision of students\u27 world-ordering beliefs, developing flexibility in how one thinks may be better achieved within academic subjects and topics that are not so intimately connected to students\u27 current social lives, especially where students may be directly implicated

Search for supersymmetry with a dominant R-parity violating LQDbar couplings in e+e- collisions at centre-of-mass energies of 130GeV to 172 GeV

A search for pair-production of supersymmetric particles under the assumption that R-parity is violated via a dominant LQDbar coupling has been performed using the data collected by ALEPH at centre-of-mass energies of 130-172 GeV. The observed candidate events in the data are in agreement with the Standard Model expectation. This result is translated into lower limits on the masses of charginos, neutralinos, sleptons, sneutrinos and squarks. For instance, for m_0=500 GeV/c^2 and tan(beta)=sqrt(2) charginos with masses smaller than 81 GeV/c^2 and neutralinos with masses smaller than 29 GeV/c^2 are excluded at the 95% confidence level for any generation structure of the LQDbar coupling.Comment: 32 pages, 30 figure

Search for Bs0B^{0}_{s} oscillations using inclusive lepton events

A search for Bs oscillations is performed using a sample of semileptonic b-hadron decays collected by the ALEPH experiment during 1991-1995. Compared to previous inclusive lepton analyses, the prop er time resolution and b-flavour mistag rate are significantly improved. Additional sensitivity to Bs mixing is obtained by identifying subsamples of events having a Bs purity which is higher than the average for the whole data sample. Unbinned maximum likelihood amplitude fits are performed to derive a lower limit of Dms>9.5 ps-1 at 95% CL. Combining with the ALEPH Ds based analyses yields Dms>9.6 ps-1 at 95% CL.A search for B0s oscillations is performed using a sample of semileptonic b-hadron decays collected by the ALEPH experiment during 1991-1995. Compared to previous inclusive lepton analyses, the proper time resolution and b-flavour mistag rate are significantly improved. Additional sensitivity to B0s mixing is obtained by identifying subsamples of events having a B0s purity which is higher than the average for the whole data sample. Unbinned maximum likelihood amplitude fits are performed to derive a lower limit of Deltam_s>9.5ps^-1 at 95% CL. Combining with the ALEPH D-s based analyses yields Deltam_s>9.6ps^-1 at 95% CL

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Medical Device-related Pressure Injuries Associated With Electroencephalogram Leads in a Tertiary Care Children’s Hospital: A Retrospective Chart Review

BACKGROUND: Medical device-related pressure injuries (MDRPIs) present a substantial safety risk for children who are hospitalized. PURPOSE: This study aimed to describe patient and clinical characteristics of children who develop MDRPIs related to electroencephalogram (EEG) leads, determine risk factors associated with their development, and determine if there are common risk factors that can lead to actionable strategies to reduce MDRPIs related to EEG leads. METHODS: A retrospective review was completed of the electronic health records of all 3136 children who had EEG lead placements between January 1, 2014, and April 16, 2018, at a large tertiary care children’s hospital. Data abstracted included demographic variables, patient and pressure injury characteristics, as well as length of stay. RESULTS: Twenty-four (24) of the 3136 children (0.8%) developed an MDRPI. Most were stage 2 pressure injuries. Patients who developed a pressure injury were significantly younger than patients who did not (median age, 0.9 and 5.2 years, respectively; P = .005). Fifty percent (50%) of all patients who developed pressure injuries were younger than 1 year of age compared with 27% of patients who did not develop pressure injuries. The median length of stay for patients in whom MDRPI developed was 84.5 days (interquartile range, 45–137) versus 3.0 days (interquartile range, 2–8) for those who did not develop an MDRPI (P \u3c .001). The mortality rate during the hospital stay was 21% (n = 5) for those who developed MDPRIs versus 4% (n = 19) for those who did not (P = .002). All patients received standard preventive strategies. CONCLUSION: The incidence of MDRPIs in this patient population was significantly higher in younger and longer-stay patients, and their mortality rate was significantly higher. This suggests that the patients who developed an MDRPI were more critically ill than those who did not. Vigilant assessment and more research are needed to determine if there are appropriate strategies to reduce MDRPIs related to EEG lead placement

Skin Integrity in Critically Ill and Injured Children

Background Skin breakdown increases the cost of care, may lead to increased morbidity, and has negative psychosocial implications because of secondary scarring or alopecia. The scope of this problem has not been widely studied in critically ill and injured children. Objectives To determine the incidence of skin breakdown in critically ill and injured children and to compare the characteristics of patients who experience skin breakdown with those of patients who do not. Methods Admission and follow-up data for a 15-week period were collected retrospectively on children admitted to a large pediatric intensive care unit. The incidence of skin breakdown was calculated. The risk for skin breakdown associated with potential risk factors (relative risk) and 95% confidence intervals were determined. Results The sample consisted of 401 distinct stays in the intensive care unit for 373 patients. During the 401 stays, skin breakdown occurred in 34 (8.5%), redness in 25 (6.2%), and breakdown and redness in 13 (3.2%); the overall incidence was 18%. Patients who had skin breakdown or redness were younger, had longer stays, and were more likely to have respiratory illnesses and require mechanical ventilatory support than those who did not. Patients who had skin breakdown or redness had a higher risk of mortality than those who did not. Conclusions Risk factors for skin breakdown were similar to those previously reported. Compared with children of other ages, children 2 years or younger are at higher risk for skin breakdown