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.

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.

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.

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.

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.

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.

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.

Listening Effort Through Depth of Processing in School-Age Children.

OBJECTIVES: A reliable and practical measure of listening effort is crucial in the aural rehabilitation of children with communication disorders. In this article, we propose a novel behavioral paradigm designed to measure listening effort in school-age children based on different depths and levels of verbal processing. The paradigm consists of a classic word recognition task performed in quiet and in noise coupled to one of three additional tasks asking the children to judge the color of simple pictures or a certain semantic category of the presented words. The response time (RT) from the categorization tasks is considered the primary indicator of listening effort. DESIGN: The listening effort paradigm was evaluated in a group of 31 normal-hearing, normal-developing children 7 to 12 years of age. A total of 146 Dutch nouns were selected for the experiment after surveying 14 local Dutch-speaking children. Windows-based custom software was developed to administer the behavioral paradigm from a conventional laptop computer. A separate touch screen was used as a response interface to gather the RT data from the participants. Verbal repetition of each presented word was scored by the tester and a percentage-correct word recognition score (WRS) was calculated for each condition. Randomized lists of target words were presented in one of three signal to noise ratios (SNR) to examine the effect of background noise on the two outcome measures of WRS and RT. Three novel categorization tasks, each corresponding to a different depth or elaboration level of semantic processing, were developed to examine the effect of processing level on either WRS or RT. It was hypothesized that, while listening effort as measured by RT would be affected by both noise and processing level, WRS performance would be affected by changes in noise level only. The RT measure was also hypothesized to increase more from an increase in noise level in categorization conditions demanding a deeper or more elaborate form of semantic processing. RESULTS: There was a significant effect of SNR level on school-age children's WRS: their word recognition performance tended to decrease with increasing background noise level. However, depth of processing did not seem to affect WRS. Moreover, a repeated-measure analysis of variance fitted to transformed RT data revealed that this measure of listening effort in normal-hearing school-age children was significantly affected by both SNR level and the depth of semantic processing. There was no significant interaction between noise level and the type of categorization task with regard to RT. CONCLUSIONS: The observed patterns of WRS and RT supported the hypotheses regarding the effects of background noise and depth of processing on word recognition performance and a behavioral measure of listening effort. The magnitude of noise-induced change in RT did not differ between categorization tasks, however. Our findings point to future research directions regarding the potential effects of age, working memory capacity, and cross-modality interaction when measuring listening effort in different levels of semantic processing.

Career Development Support in Pediatric Critical Care Medicine: A National Survey of Fellows and Junior Faculty.

OBJECTIVES: To determine the perceptions of current pediatric critical care medicine fellows and junior faculty regarding the extent and quality of career development support received during fellowship training. DESIGN: Web-based cross-sectional survey open from September to November 2015. SETTING: Accreditation Council for Graduate Medical Education-accredited pediatric critical care medicine fellowship programs. SUBJECTS: Pediatric critical care medicine fellows (second yr or higher) and junior faculty (within 5 yr of completing a pediatric critical care medicine fellowship program). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: There were 129 respondents to the survey, representing 63% of Accreditation Council for Graduate Medical Education-accredited pediatric critical care medicine fellowship programs. Respondents were evenly divided between fellows and junior faculty. Nearly, half (49%) of respondents reported that their pediatric critical care medicine fellowship program provided a formal career development curriculum. Ideal career tracks chosen included academic clinician educator (64%), physician-scientist (27%), community-based (nonacademic) clinician (11%), and administrator (11%). There was a disparity in focused career development support provided by programs, with a minority providing good support for those pursuing a community-based clinician track (32%) or administrator track (16%). Only 43% of fellows perceived that they have a good chance of obtaining their ideal pediatric critical care medicine position, with the most common perceived barrier being increased competition for limited job opportunities. Most respondents expressed interest in a program specific to pediatric critical care medicine career development that is sponsored by a national professional organization. CONCLUSIONS: Most pediatric critical care medicine fellows and junior faculty reported good to excellent career development support during fellowship. However, important gaps remain, particularly for those pursuing community-based (nonacademic) and administrative tracks. Fellows were uncertain regarding future pediatric critical care medicine employment and their ability to pursue ideal career tracks. There may be a role for professional organizations to provide additional resources for career development in pediatric critical care medicine.

Air in All the Wrong Places.

Extraluminal air can occur through a wide variety of mechanisms. Often, the free air resides in isolated regions including the thorax, the peritoneum, or the mediastinum. We present a pediatric case where there was extensive extraluminal air simultaneously within several regions, one of which has never been reported in the literature.

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.

Permanent Central Diabetes Insipidus as a Complication of S. pneumoniae Meningitis in the Pediatric Population.

Diabetes insipidus is a rare but recognized complication of meningitis. The occurrence of diabetes insidipus has been previously attributed to Streptococcus pneumoniae (S. pneumoniae) in a handful of patients and only once within the pediatric subpopulation. We present the clinical course of a previously healthy 2-year, 8-month-old male child ultimately diagnosed with central diabetes insipidus (CDI) secondary to S. pneumoniae meningitis. Permanent CDI following S. pneumoniae meningitis is unique to our case and has not been previously described. Following the case presentation, we describe the etiology, pathophysiology, diagnosis, and treatment of CDI. The mechanism proposed for this clinical outcome is cerebral herniation for a sufficient duration and subsequent ischemia leading to the development of permanent CDI. Providers should be aware of CDI resulting from S. pneumoniae meningitis as prompt diagnosis and management may decrease the risk of permanent hypothalamo-pituitary axis damage.

Comparison of Transferred Versus Nontransferred Pediatric Patients Admitted for Sepsis.

OBJECTIVE: Little is known about the characteristics of pediatric patients transferred for medical care. Thus, we aimed to compare pediatric patients admitted for sepsis as transfers versus those who were not admitted as transfers. METHODS: Retrospective study using The Agency for Healthcare Research and Quality 2009 Kids' Inpatient Database. Inclusion diagnosis of sepsis based on an All Patient Refined Diagnosis-Related Group of 720: Septicemia & Disseminated Infections resulted in 16,894 patients. Transfer status was based on admission codes. Weighted statistical analysis was conducted using STATA 12.1 (Stata Corporation, College Station, TX). Institutional review board approval was obtained. RESULTS: Weighted analysis found significant differences between transferred versus nontransferred patients in the following areas: highest severity of illness subclass (45.1% vs. 18.7%, P < .001), number of chronic conditions (2.0 vs. 1.5, P < .001), teaching hospital status (85.9% vs. 54.8%, P < .001), length of stay (10.8 vs. 6.5, p<.001), number of procedures (2.9 vs. 1.4, P < .001), mortality (8.4% vs. 3.2%, P < .001), total costs ($30,626 vs. $13,677, P < .001), and daily costs ($2,901 vs. $1,887, P < .001). CONCLUSION: Our study found that patients diagnosed with sepsis and transferred are more severely ill with a higher number of chronic conditions, longer lengths of stay, more procedures performed, higher mortality, and higher total and daily costs.

A Comparison of Costs Between Medical and Surgical Patients in an Academic Pediatric Intensive Care Unit.

OBJECTIVE: To estimate the impact of patient type on costs incurred during a pediatric intensive care unit (PICU) hospitalization. PATIENTS AND METHODS: Retrospective cohort study at an academic PICU located in the United States that examined 850 patients admitted to the PICU from January 1 to December 31, 2009. Forty-eight patients were excluded due to lack of financial data. Primary service was defined by the attending physician of record. Outcome measures were total and daily pediatric intensive care costs (2009 US dollars). RESULTS: Of 802 patients in the sample, there were 361 medical and 441 surgical patients. Comparing medical to surgical patients, severity of illness as defined by Pediatric Risk of Mortality (PRISM) III scores was 4.53 vs 2.08 (P < 0.001), length of stay was 7.37 vs 5.00 days (P < 0.001), total pediatric intensive care hospital costs were $34,786 vs $30,598 (P < 0.001), and mean daily pediatric intensive care hospital costs were $3985 vs $6616 (P < 0.001). CONCLUSIONS: Medical patients had higher severity of illness and length of stay resulting in higher total pediatric intensive care costs when compared to surgical patients. Interestingly, when accounting the length of stay, surgical patients had higher daily pediatric intensive care costs despite lower severity of illness.

Pediatric Traumatic Brain Injury.

The purpose of this article is to provide a better understanding of pediatric traumatic brain injury and its management. Within the pediatric age group, ages 1 to 19, injuries are the number one cause of death with traumatic brain injury being involved in almost 50 percent of these cases. This, along with the fact that the medical system spends over $1 billion annually on pediatric traumatic brain injury, makes this issue both timely and relevant to health care providers. Over the course of this article the epidemiology, physiology, pathophysiology, and treatment of pediatric traumatic brain injury will be explored. Emphasis will be placed on the role of the early responder and the immediate interventions that should be considered and/or performed. The management discussed in this article follows the most recent recommendations from the 2012 edition of the Guidelines for the Acute Medical Management of Severe Traumatic Brain Injury in Infants, Children, and Adolescents. Despite the focus of this article, it is important not to lose sight of the fact that an ounce of prevention is worth a pound--or, to be more precise and use the average human's brain measurements, just above three pounds--of cure.

Relationship Between Severity of Illness and Length of Stay on Costs Incurred During a Pediatric Critical Care Hospitalization.

OBJECTIVE: To estimate the impact of severity of illness and length of stay on costs incurred during a pediatric intensive care unit (PICU) hospitalization. STUDY DESIGN: This is a retrospective cohort study at an academic PICU located in the U.S. that examined 850 patients admitted to the PICU from Jan. 1 to Dec. 31, 2009. The study population was segmented into three severity levels based on pediatric risk of mortality (PRISM) III scores: low (PRISM score 0), medium (PRISM score 1-5), and high (PRISM score greater than 5). Outcome measures were total and daily PICU costs (2009 U.S. dollars). RESULTS: Eight hundred and fifty patients were admitted to the PICU during the study period. Forty-eight patients (5.6 percent) had incomplete financial data and were excluded from further analysis. Mean total PICU costs for low (n = 429), medium (n = 211), and high (n = 162) severity populations were $21,043, $37,980, and $55,620 (p < 0.001). Mean daily PICU costs for the low, medium, and high severity groups were $5,138, $5,903, and $5,595 (p = 0.02). CONCLUSIONS: Higher severity of illness resulted in higher total PICU costs. Interestingly, although daily PICU costs across severity of illness showed a statistically significant difference, the practical economic difference was minimal, emphasizing the importance of length of stay to total PICU costs. Thus, the study suggested that reducing length of stay independent of illness severity may be a practical cost control measure within the pediatric intensive care setting.

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.