The Evolution of a Pediatric Public Health Crisis: E-cigarette or Vaping-Associated Lung Injury.

E-cigarettes and vaping products were first introduced in the United States around 2007, and quickly grew in popularity. By 2014, e-cigarettes had become the most commonly used tobacco product among youth in the United States. An e-cigarette, or vaping, product use-associated lung injury (EVALI) outbreak was identified by the Centers for Disease Control and Prevention (CDC) in 2019, with many cases in the adolescent population. The CDC opened a national database of cases and launched a multistate investigation; reported cases reached a peak in September 2019. The CDC investigation found that a vaping liquid additive, vitamin E acetate, was strongly linked to the EVALI outbreak but determined that the decline in cases was likely multifactorial. Due to decreased cases and the identification of a potential cause of the outbreak, the CDC stopped collecting data on EVALI cases as of February 2020. However, e-cigarettes and vaping products have continued to be the most popular tobacco product among youth, though state and national regulations on these products have increased since 2016. While pediatric case series and studies have shown differences in clinical presentation and medical histories between pediatric and adult EVALI cases, the fact that cases are no longer tracked at a national level limits necessary information for pediatric clinicians and researchers. We describe the available literature on the diagnosis, pathophysiology, treatment, and outcomes of EVALI in the pediatric population, and provide clinical and public health recommendations to facilitate prevention and management of EVALI specific to pediatrics.

Pediatric Organ Donation and Transplantation: Across the Care Continuum.

This policy statement aims to enhance comfort and increase knowledge of pediatric organ donation and transplantation to the general pediatric community, specifically focusing on the pediatric health care professional and the medical home. The pediatric health care professional will care for neonates, infants, children, and adolescents who may become donors or transplant recipients and, thus, is a crucial member of the pediatric patient's care team. Understanding donation, transplantation, and follow-up care are important to primary care engagement. Furthermore, the pediatric health care professional may play a role in shaping public policies related to the process of organ donation and access to organ transplantation.

Intracranial Hemorrhage Secondary to Vitamin K Deficiency Bleeding in a Newborn.

We present a case of a 6-week-old infant who presented with seizure-like activity. Workup revealed abnormal coagulation and imaging confirmed intracranial hemorrhage. Parental refusal of vitamin K treatment at birth suggested vitamin K deficiency bleeding (VKDB) in this newborn. Though VKDB is rare in developed countries, rates have been rising which coincides with an increasing trend of parental refusal of vitamin K prophylaxis at birth.

Infant With Acute Bilateral Pneumothorax During Air Transport.

In rural settings, medically complicated patients may require air transport to facilities that are capable of providing higher levels of care. Extra consideration must be given to pulmonary pathologies when considering this mode of transport. Altitude changes impact both air pressure and volume as described by Boyle's law. These changes can complicate the care of these patients in several ways. We present a case of patient with respiratory failure secondary to viral infection who developed acute bilateral pneumothorax (PTX) while mechanically ventilated during a transport on a fixed-wing aircraft. In this article we outline the unique risks of air travel on the development and progression of PTX as well as the unique challenges with diagnosis and treatment during air transport.

Guidance for Structuring a Pediatric Intermediate Care Unit.

The purpose of this policy statement is to update the 2004 American Academy of Pediatrics clinical report and provide enhanced guidance for institutions, administrators, and providers in the development and operation of a pediatric intermediate care unit (IMCU). Since 2004, there have been significant advances in pediatric medical, surgical, and critical care that have resulted in an evolution in the acuity and complexity of children potentially requiring IMCU admission. A group of 9 clinical experts in pediatric critical care, hospital medicine, intermediate care, and surgery developed a consensus on priority topics requiring updates, reviewed the relevant evidence, and, through a series of virtual meetings, developed the document. The intended audience of this policy statement is broad and includes pediatric critical care professionals, pediatric hospitalists, pediatric surgeons, other pediatric medical and surgical subspecialists, general pediatricians, nurses, social workers, care coordinators, hospital administrators, health care funders, and policymakers, primarily in resource-rich settings. Key priority topics were delineation of core principles for an IMCU, clarification of target populations, staffing recommendations, and payment.

Impact of Payer Status on Hospitalization Outcomes in Pediatric Diabetic Ketoacidosis.

BACKGROUND: Diabetic ketoacidosis (DKA) is a life-threatening complication seen in patients suffering from type I diabetes (T1D) with a cost burden of over $5 billion in the U.S. annually. Often, children are first diagnosed with T1D when they present with DKA. Our study examines the impact of payer type on pediatric DKA. We hypothesize that Medicaid payer type negatively impacts costs and care outcomes in pediatric patients with DKA as compared to private payers. METHODS: We utilized the Agency for Healthcare Research and Quality (AHRQ) 2012 Kids' Inpatient Database (KID) for analysis. Our inclusion criterion included All Patient Refined Diagnosis Related Groups (APR-DRG) coding for T1D DKA admissions with a uniform severity and an identifiable payer of Medicaid or private insurance. RESULTS: 27,241 weighted and severity-adjusted discharges met criterion (51.6 percent Medicaid payers, 48.4 percent private). Comparing Medicaid vs. private payer status, we found: length of stay (2.24 days vs. 2.09), number of procedures received (0.13 vs. 0.12), and total charges ($16,449 vs. $16,107). Limiting analysis to a crude measure of bottom quartile income showed: length of stay (2.26 days vs. 2.14), number of procedures received (0.12 vs. 0.12), and total charges ($15,393 vs. $14,063). CONCLUSIONS: Children admitted in DKA and covered by Medicaid had longer hospitalizations, more procedures performed, and higher total costs of care. Even after controlling for socioeconomic status, similar effects persisted. Further evaluations are warranted to reveal the causative factors behind these correlative findings which suggest DKA patients receive different care depending on their payer status.

Predicting unplanned medical visits among patients with diabetes: translation from machine learning to clinical implementation.

BACKGROUND: Diabetes is a medical and economic burden in the United States. In this study, a machine learning predictive model was developed to predict unplanned medical visits among patients with diabetes, and findings were used to design a clinical intervention in the sponsoring healthcare organization. This study presents a case study of how predictive analytics can inform clinical actions, and describes practical factors that must be incorporated in order to translate research into clinical practice. METHODS: Data were drawn from electronic medical records (EMRs) from a large healthcare organization in the Northern Plains region of the US, from adult (≥ 18 years old) patients with type 1 or type 2 diabetes who received care at least once during the 3-year period. A variety of machine-learning classification models were run using standard EMR variables as predictors (age, body mass index (BMI), systolic blood pressure (BP), diastolic BP, low-density lipoprotein, high-density lipoprotein (HDL), glycohemoglobin (A1C), smoking status, number of diagnoses and number of prescriptions). The best-performing model after cross-validation testing was analyzed to identify strongest predictors. RESULTS: The best-performing model was a linear-basis support vector machine, which achieved a balanced accuracy (average of sensitivity and specificity) of 65.7%. This model outperformed a conventional logistic regression by 0.4 percentage points. A sensitivity analysis identified BP and HDL as the strongest predictors, such that disrupting these variables with random noise decreased the model's overall balanced accuracy by 1.3 and 1.4 percentage points, respectively. These recommendations, along with stakeholder engagement, behavioral economics strategies, and implementation science principles helped to inform the design of a clinical intervention targeting behavioral changes. CONCLUSION: Our machine-learning predictive model more accurately predicted unplanned medical visits among patients with diabetes, relative to conventional models. Post-hoc analysis of the model was used for hypothesis generation, namely that HDL and BP are the strongest contributors to unplanned medical visits among patients with diabetes. These findings were translated into a clinical intervention now being piloted at the sponsoring healthcare organization. In this way, this predictive model can be used in moving from prediction to implementation and improved diabetes care management in clinical settings.

Age-Related Changes in Listening Effort for Children and Teenagers With Normal Hearing and Cochlear Implants.

OBJECTIVES: A clinically viable measure of listening effort is crucial in safeguarding the educational success of hard-of-hearing students enrolled in mainstream schools. To this end, a novel behavioral paradigm of listening effort targeting school-age children has been designed and reported in Hsu et al. (2017). The current article consists of two follow-up experiments investigating the effects of noise, processing depth, and age in a similar paradigm, first in a group of participants with normal hearing (NH) followed by a sample of school-age cochlear implant (CI) users. Research objectives include the construction of normative values of listening effort and comparing outcomes between age-matched NH and CI participants. DESIGN: In Experiment 1, the listening effort dual-task paradigm was evaluated in a group of 90 NH participants with roughly even age distribution between 6 and 26 years. The primary task asked a participant to verbally repeat each of the target words presented in either quiet or noise, while the secondary task consisted of categorization true-or-false questions "animal" and "dangerous," representing two levels of semantic processing depth. Two outcome measures were obtained for each condition: a classic word recognition score (WRS) and an average response time (RT) measured during the secondary task. The RT was defined as the main listening effort metric throughout the study. Each NH participant's long-term memory retrieval speed and working memory capacity were also assessed through standardized tests. It was hypothesized that adding noise would negatively affect both WRS and RT, whereas an increase in age would see significant improvement in both measures. A subsequent Experiment 2 administered a shortened version of the paradigm to 14 school-age CI users between 5 and 14 years old at a university clinic. The patterns of results from the CI group were expected to approximate those of the NH group, except with larger between-subject variability. RESULTS: For NH participants, while WRS was significantly affected by age and noise levels, RT was significantly affected by age, noise levels, and depth of processing. RT was significantly correlated with long-term memory retrieval speed but not with working memory capacity. There was also a significant interaction effect between age and noise levels for both WRS and RT. The RT data set from the NH group served as a basis to establish age-dependent 95% prediction intervals for expected future observations. For CI participants, the effect of age on the two outcome measures was more visible when target words were presented in quiet. Depending on the condition, between 35.7% and 72.7% of the children with CI exhibited higher-than-norms listening effort as measured by categorization processing times. CONCLUSION: Listening effort appears to decrease with age from early school-age years to late teenage years. The effects of background noise and processing depth are comparable with those reported in Hsu et al. (2017). Future studies interested in expanding the paradigm's clinical viability should focus on the reduction of testing time while maintaining or increasing the sensitivity and external validity of its outcome measures.

Smoking is associated with a higher risk of unplanned medical visits among adult patients with diabetes, using retrospective electronic medical record data from 2014 to 2016.

BACKGROUND: Smoking exacerbates the complications of diabetes, but little is known about whether patients with diabetes who smoke have more unplanned medical visits than those who do not smoke. This study examines the association between smoking status and unplanned medical visits among patients with diabetes. METHODS: Data were drawn from electronic medical records (EMR's) from a large healthcare provider in the Northern Plains region of the US, from adult (≥18 years old) patients with type 1 or type 2 diabetes who received care at least once during 2014-16 (N = 62,149). The association between smoking status (current, former, or never smoker) and having ≥1 unplanned visit (comprised of emergency department visits, hospitalizations, hospital observations, and urgent care) was examined after adjusting for age, race/ethnicity, and body mass index (BMI). The top ten most common diagnoses for unplanned visits were examined by smoking status. RESULTS: Both current and former smoking were associated with an approximately 1.2-fold increase in the odds of having at least one unplanned medical visit in the 3-year period (OR = 1.22, 95% CI = 1.16-129; OR = 1.23, 95% CI = 1.19-1.28, respectively), relative to never-smokers. Most common diagnoses for all patients were pain-related. However, diagnoses related to musculoskeletal system and connective tissue disorders were more common among smokers. Smoking is associated with a higher rate of unplanned medical visits among patients with diabetes in this regional healthcare system. CONCLUSIONS: Results from this study reveal higher rates of unplanned visits among smokers and former smokers, as well as increased frequencies of unplanned medical visits among current smokers.

Executive Summary: Criteria for Critical Care of Infants and Children: PICU Admission, Discharge, and Triage Practice Statement and Levels of Care Guidance.

This is an executive summary of the 2019 update of the 2004 guidelines and levels of care for PICU. Since previous guidelines, there has been a tremendous transformation of Pediatric Critical Care Medicine with advancements in pediatric cardiovascular medicine, transplant, neurology, trauma, and oncology as well as improvements of care in general PICUs. This has led to the evolution of resources and training in the provision of care through the PICU. Outcome and quality research related to admission, transfer, and discharge criteria as well as literature regarding PICU levels of care to include volume, staffing, and structure were reviewed and included in this statement as appropriate. Consequently, the purposes of this significant update are to address the transformation of the field and codify a revised set of guidelines that will enable hospitals, institutions, and individuals in developing the appropriate PICU for their community needs. The target audiences of the practice statement and guidance are broad and include critical care professionals; pediatricians; pediatric subspecialists; pediatric surgeons; pediatric surgical subspecialists; pediatric imaging physicians; and other members of the patient care team such as nurses, therapists, dieticians, pharmacists, social workers, care coordinators, and hospital administrators who make daily administrative and clinical decisions in all PICU levels of care.

Criteria for Critical Care Infants and Children: PICU Admission, Discharge, and Triage Practice Statement and Levels of Care Guidance.

OBJECTIVES: To update the American Academy of Pediatrics and Society of Critical Care Medicine's 2004 Guidelines and levels of care for PICU. DESIGN: A task force was appointed by the American College of Critical Care Medicine to follow a standardized and systematic review of the literature using an evidence-based approach. The 2004 Admission, Discharge and Triage Guidelines served as the starting point, and searches in Medline (Ovid), Embase (Ovid), and PubMed resulted in 329 articles published from 2004 to 2016. Only 21 pediatric studies evaluating outcomes related to pediatric level of care, specialized PICU, patient volume, or personnel. Of these, 13 studies were large retrospective registry data analyses, six small single-center studies, and two multicenter survey analyses. Limited high-quality evidence was found, and therefore, a modified Delphi process was used. Liaisons from the American Academy of Pediatrics were included in the panel representing critical care, surgical, and hospital medicine expertise for the development of this practice guidance. The title was amended to "practice statement" and "guidance" because Grading of Recommendations, Assessment, Development, and Evaluation methodology was not possible in this administrative work and to align with requirements put forth by the American Academy of Pediatrics. METHODS: The panel consisted of two groups: a voting group and a writing group. The panel used an iterative collaborative approach to formulate statements on the basis of the literature review and common practice of the pediatric critical care bedside experts and administrators on the task force. Statements were then formulated and presented via an online anonymous voting tool to a voting group using a three-cycle interactive forecasting Delphi method. With each cycle of voting, statements were refined on the basis of votes received and on comments. Voting was conducted between the months of January 2017 and March 2017. The consensus was deemed achieved once 80% or higher scores from the voting group were recorded on any given statement or where there was consensus upon review of comments provided by voters. The Voting Panel was required to vote in all three forecasting events for the final evaluation of the data and inclusion in this work. The writing panel developed admission recommendations by level of care on the basis of voting results. RESULTS: The panel voted on 30 statements, five of which were multicomponent statements addressing characteristics specific to PICU level of care including team structure, technology, education and training, academic pursuits, and indications for transfer to tertiary or quaternary PICU. Of the remaining 25 statements, 17 reached consensus cutoff score. Following a review of the Delphi results and consensus, the recommendations were written. CONCLUSIONS: This practice statement and level of care guidance manuscript addresses important specifications for each PICU level of care, including the team structure and resources, technology and equipment, education and training, quality metrics, admission and discharge criteria, and indications for transfer to a higher level of care. The sparse high-quality evidence led the panel to use a modified Delphi process to seek expert opinion to develop consensus-based recommendations where gaps in the evidence exist. Despite this limitation, the members of the Task Force believe that these recommendations will provide guidance to practitioners in making informed decisions regarding pediatric admission or transfer to the appropriate level of care to achieve best outcomes.

The Role of Socioeconomic Status in Individuals that Leave Against Medical Advice.

INTRODUCTION: Individuals leaving against medical advice (AMA) are at risk for adverse health outcomes including a 40 percent increased mortality rate a year after self-discharge. Additionally, leaving AMA may dramatically increase medical costs due to failure to complete treatment resulting in higher risk of readmission with additional co-morbidities. METHODS: Retrospective study of inpatients utilizing the Healthcare Cost and Utilization Project (HCUP) 2012 National Inpatient Sample (NIS) database. Primary outcome of interest was discharge type (AMA versus non-AMA) examined against primary payer type, patient and hospital characteristics. Analysis performed on the weighted discharges using Proc Surverylogistic. Statistical significance set at p less than 0.05. All analysis was performed in SAS version 9.4 (SAS Institute). RESULTS: After adjustment for possible cofounders and socioeconomic factors, there were increased odds of leaving against medical advice in those that lacked insurance (ORadj = 4.16, p less than 0.001) or had Medicare (ORadj = 2.10, p less than 0.001) or Medicaid (ORadj = 2.94, p less than 0.001). Compared to individuals in the lower income brackets, groups with higher incomes had a 20-30 percent decrease in leaving AMA. However, in comparison to white individuals, black (ORadj = 1.023, p = 0.2688) and Native Americans (ORadj = 0.994, p=0.9322) were not at an increased risk of leaving AMA. Hispanic (ORadj = 0.665, p less than 0.001) and the Asian/Pacific Islander (ORadj = 0.56, p less than 0.001) groups had decreased odds of leaving AMA. CONCLUSION: Groups at risk for leaving AMA were individuals lacking insurance, having public insurance, and those within the 0-25th percentile in income. Although ethnicity does play a factor in leaving against medical advice, our data indicates that the gap is not as extreme as previously stated. Additional work needs to be done to help health care providers set targeted preventative measures to address those at increased risk for leaving AMA in order to provide a higher standard of care for the patient.

Pre-Guideline Trends Associated with Chest Radiograph Usage for Pediatric Community-Acquired Pneumonia in Emergency Department Settings.

BACKGROUND: Health care spending in the U.S. totaled $3 trillion in 2014 and continues to increase rapidly. Minimizing waste through clinical guidelines is a promising strategy to reduce spending without compromising patient care. In 2011, clinical guidelines recommended against the use of chest X-ray (CXR) for diagnosis of community-acquired pneumonia (CAP) in pediatric ambulatory settings. However, use of CXR has not changed post-guideline. Thus, understanding the drivers of CXR utilization prior to guideline implementation could improve guideline adherence. METHODS: Retrospective study using 2009 Nationwide Emergency Department Sample data set consisting of a representative sample of all emergency room admissions. Inclusion criteria consisted of: 18 years of age or younger and the diagnosis of outpatient CAP. Population was segmented by the presence of a CXR obtained during the visit. Socioeconomic status was determined by quartile classification of the estimated median household income based on patient ZIP code. RESULTS: In 2009, children living in wealthier ZIP codes presenting to the emergency department (ED) who were diagnosed with CAP were more likely to receive diagnostic CXR. The use of chest radiograph was not statistically correlated to gender, weekday versus weekend admission, number of diagnoses at discharge, or total ED charges. CONCLUSION: The research demonstrates a strong correlation between socioeconomic status of the pediatric patient and use of chest radiograph for CAP in the ED setting prior to 2011 guideline publication. Further research to determine the reason for this correlation could give rise to focused efforts to successfully encourage adherence to clinical practice guidelines.