Predicting Mortality in Children With Pediatric Acute Respiratory Distress Syndrome: A Pediatric Acute Respiratory Distress Syndrome Incidence and Epidemiology Study.

OBJECTIVES: Pediatric acute respiratory distress syndrome is heterogeneous, with a paucity of risk stratification tools to assist with trial design. We aimed to develop and validate mortality prediction models for patients with pediatric acute respiratory distress syndrome. DESIGN: Leveraging additional data collection from a preplanned ancillary study (Version 1) of the multinational Pediatric Acute Respiratory Distress syndrome Incidence and Epidemiology study, we identified predictors of mortality. Separate models were built for the entire Version 1 cohort, for the cohort excluding neurologic deaths, for intubated subjects, and for intubated subjects excluding neurologic deaths. Models were externally validated in a cohort of intubated pediatric acute respiratory distress syndrome patients from the Children's Hospital of Philadelphia. SETTING: The derivation cohort represented 100 centers worldwide; the validation cohort was from Children's Hospital of Philadelphia. PATIENTS: There were 624 and 640 subjects in the derivation and validation cohorts, respectively. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The model for the full cohort included immunocompromised status, Pediatric Logistic Organ Dysfunction 2 score, day 0 vasopressor-inotrope score and fluid balance, and PaO2/FIO2 6 hours after pediatric acute respiratory distress syndrome onset. This model had good discrimination (area under the receiver operating characteristic curve 0.82), calibration, and internal validation. Models excluding neurologic deaths, for intubated subjects, and for intubated subjects excluding neurologic deaths also demonstrated good discrimination (all area under the receiver operating characteristic curve ≥ 0.84) and calibration. In the validation cohort, models for intubated pediatric acute respiratory distress syndrome (including and excluding neurologic deaths) had excellent discrimination (both area under the receiver operating characteristic curve ≥ 0.85), but poor calibration. After revision, the model for all intubated subjects remained miscalibrated, whereas the model excluding neurologic deaths showed perfect calibration. Mortality models also stratified ventilator-free days at 28 days in both derivation and validation cohorts. CONCLUSIONS: We describe predictive models for mortality in pediatric acute respiratory distress syndrome using readily available variables from day 0 of pediatric acute respiratory distress syndrome which outperform severity of illness scores and which demonstrate utility for composite outcomes such as ventilator-free days. Models can assist with risk stratification for clinical trials.

Diagnostic Bedside Ultrasound Program Development in Pediatric Critical Care Medicine: Results of a National Survey.

OBJECTIVES: To assess current diagnostic bedside ultrasound program core element (training, credentialing, image storage, documentation, and quality assurance) implementation across pediatric critical care medicine divisions in the United States. DESIGN: Cross-sectional questionnaire-based needs assessment survey. SETTING: Pediatric critical care medicine divisions with an Accreditation Council of Graduate Medical Education-accredited fellowship. RESPONDENTS: Divisional leaders in education and/or bedside ultrasound training. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Fifty-five of 67 pediatric critical care medicine divisions (82%) with an Accreditation Council of Graduate Medical Education-accredited fellowship provided responses. Overall, 63% of responding divisions (34/54) were clinically performing diagnostic bedside ultrasound studies with no difference between divisions with large versus small units. Diagnostic bedside ultrasound training is available for pediatric critical care medicine fellows within 67% of divisions (35/52) with no difference in availability between divisions with large versus small units. Other core elements were present in less than 25% of all divisions performing clinical studies, with a statistically significant increase in credentialing and documentation among divisions with large units (p = 0.048 and 0.01, respectively). All core elements were perceived to have not only high impact in program development but also high effort in implementation. Assuming that all structural elements could be effectively implemented within their division, 83% of respondents (43/52) agreed that diagnostic bedside ultrasound should be a core curricular component of fellowship education. CONCLUSIONS: Diagnostic bedside ultrasound is increasingly prevalent in training and clinical use across the pediatric critical care medicine landscape despite frequently absent core programmatic infrastructural elements. These core elements are perceived as important to program development, regardless of division unit size. Shared standardized resources may assist in reducing the effort in core element implementation and allow us to measure important educational and clinical outcomes.