Estimated prevalence of facial injury-related mortality in the United States pediatric population.

BACKGROUND/AIMS: In pediatric populations, the epidemiology of facial trauma, their injury patterns, distribution, and outcomes are well known, However, little is known about the risk factors and impacts of minor and moderate facial injuries on in-hospital mortality among children in the United States of America (USA). The aim of this study was to determine the prevalence and risk factors for in-hospital mortality among pediatric patients following facial injuries in the USA. MATERIAL AND METHODS: A cross-sectional study was conducted with data from the National Trauma Data Bank's pediatric hospitalized patients (<18 years) with facial injuries (International Classification of Diseases, Ninth Revision codes 802.00 to 802.9 and Tenth Revision codes S02.2 to S02.92) between January 01, 2016-December 31, 2019. A multivariable logistic regression model was utilized to identify the risk factors for in-hospital mortality. RESULTS: A total of 61,294 pediatric patients (mean age 11.9 years, 69.6% males) were included in the analysis. The estimated prevalence of in-hospital mortality following facial injuries was 2.4% (n = 1480). In terms of mortality, compared to those who sustained minor facial injuries, patients with (1) moderate injuries had 43% higher odds (OR = 1.43; 95% CI: 1.25-1.64, p < .0001), (2) serious injuries had seven times higher odds (OR = 7.81; 95% CI: 6.67-9.14, p < .0001), (3) severe injuries had 16 times higher odds (OR = 16.07; 95% CI: 12.62-20.46, p < .0001), and (4) critical/maximum injury virtually unsurvivable had 145 times higher odds (OR = 145.24; 95% CI: 113.82-185.33, p < .0001) of death after controlling for age, race, insurance status, comorbidities, and hospital complications. CONCLUSIONS: The severity of facial injury, age 5-17 years, uninsured status, and those with a mental/personality disorder were risk factors for in-hospital mortality among pediatric patients following facial injuries in this population-level analysis. A better understanding of these risk factors is needed for clinical management of pediatric patients to prevent in-hospital mortality following facial injuries.

Disparity Between United States Adolescent Class II and III Obesity Trends and Bariatric Surgery Utilization, 2015-2018.

OBJECTIVES: Class II (120% > body mass index [BMI] < 140% of the 95th percentile for age and sex) and Class III (BMI >140% of the 95th percentile for age and sex) obesity are the fastest growing subcategories of obesity in the United States pediatric population. Metabolic and bariatric surgery (MBS) is a safe and effective treatment option for with class II/III obesity. The primary objectives of this analysis were to determine the (1) current US MBS utilization rates in those with class II/III obesity and (2) utilization rates and 30-day postoperative outcomes. BACKGROUND: The 2015 to 2018 National Health and Nutrition Examination Survey cross-sectional data (N = 19,225) generated US with class II/III obesity prevalence estimates. The 2015 to 2018 Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) longitudinal (30 days) cohort data were used to compare adolescent and adult (N = 748,622) postoperative outcomes and to calculate utilization rates. METHODS: The 2015 to 2018 youth and adult MBS utilization rates were calculated using MBSAQIP data (numerator) and National Health and Nutrition Examination Survey data (denominator). Two-sample tests of proportions were performed to compare the MBS utilization rates by age, ethnicity, and sex and expressed per 1000. RESULTS: Mean age of the analytical MBSAQIP sample was 17.9 (1.15) years in youth (n = 3846) and 45.1 (11.5) in adults (N = 744,776), majority female (77.4%, 80.7%, respectively) and non-Hispanic White (68.5%, 59.4%, respectively). The overall 2015 to 2018 MBS utilization rate for youth was 1.81 per 1000 and 5.56 per 1000 for adults ( P < 0.001). Adult patients had slightly higher percentage (4.2%) of hospital readmissions compared to youth (3.4%, P = 0.01) but there were no other post-MBS complication differences. From 2015 to 2018 the US prevalence of youth with class II/III obesity increased in Hispanics and non-Hispanic Blacks (P trend < 0.001), but among youth who did complete MBS non-Hispanic Whites had higher rates of utilization (45.8%) compared to Hispanics (22.7%) and non-Hispanic blacks 14.2% (P = 0.006). CONCLUSIONS: MBS is an underutilized obesity treatment tool for both youth and adults, and among ethnic minority groups in particular.

Relationship Between Dating Violence and Contraceptive Use Among Texas Adolescents.

The recent overturning of Roe v. Wade has the potential to adversely impact reproductive health among adolescents experiencing unplanned pregnancies from dating violence. We examined the associations between contraceptive use and dating violence among Texas high schoolers in the years leading up to this new law. Youth Risk Behavior Surveillance System data from Texas 9th to 12th graders from 2011, 2013, 2017, and 2019 were analyzed. Multinomial logistic regression analyses examined the association between contraceptive use and key descriptive predictors (physical and/or sexual dating violence, survey year, age, sex, and race/ethnic group). Eleven percent of Texas adolescents surveyed reported experiencing either physical or sexual dating violence and 2% reported experiencing both types of violence. Those who experienced any dating violence were significantly more likely to report not using contraception versus those who did not experience violence (12.5% vs. 68.3%, p = 0.01). Adolescents who experienced any type of dating violence were more likely to report using hormonal contraception, condom use, or withdrawal versus those who did not experience dating violence. Hispanic adolescents were 63% more likely than their ethnic group counterparts to use no contraception (odds ratio [OR] 1.63; 95% confidence interval [CI] [1.11-2.40]). A significant proportion of Texas adolescents reported experiencing dating violence, and this group also reported higher noncontraception use versus those not experiencing dating violence. Given new strict Texas antiabortion laws, dating violence prevention and contraceptive use promotion to prevent unwanted reproductive outcomes such as sexually transmitted infections or unplanned pregnancies are imperative in this age group.

Academic and Attendance Outcomes after Participation in a School Breakfast Program.

BACKGROUND: Little is known about how school breakfast programs are associated with school attendance and academic performance. This study evaluated Dallas Independent School District's (DISD) breakfast after the bell (BATB) program that provides breakfast for both habitually tardy and non-tardy students on (1) academic performance and (2) student attendance over 2 school years. METHODS: A pre-post study design evaluated the impact of the BATB program in elementary/middle/high schools on student attendance and academic outcomes. Paired t-tests evaluated changes in outcomes between 2017 to 2018 and 2018 to 2019 school years. RESULTS: The analytical sample consisted of 30,493 students (70.32% BATB participants, 50.47% male, 68.78% Hispanic). BATB participants were over 2.5 times more likely to attend school versus non-BATB participants (aOR = 2.55; 95% confidence interval [CI]: 2.23-2.92; p < .001). Compared to pre-participation (2017-2018), unadjusted models showed 2018 to 2019 BATB participants' mean reading scores increased from 1502.72 to 1545.76 during the 2018 to 2019 academic year (p < .001). There were no significant changes in reading and math scores over the 2-year implementation after adjustment. CONCLUSIONS: Results here showed that a school breakfast program that is housed in a large public school system that serves predominantly low resource, ethnically diverse students is associated with increased student attendance.

Adverse Drug Events Related to Common Asthma Medications in US Hospitalized Children, 2000-2016.

BACKGROUND: The reduction in adverse drug events is a priority in healthcare. Medications are frequently prescribed for asthmatic children, but epidemiological trends of adverse drug events related to anti-asthmatic medications have not been described in hospitalized children. OBJECTIVE: The objective of this study was to report incidence trends, risk factors, and healthcare utilization of adverse drug events related to anti-asthmatic medications by major drug classes in hospitalized children in the USA from 2000 to 2016. METHODS: A population-based temporal analysis included those aged 0-20 years who were hospitalized with asthma from the 2000 to 2016 Kids Inpatient Database. Age-stratified weighted temporal trends of the inpatient incidence of adverse drug events related to anti-asthmatic medications (i.e., corticosteroids and bronchodilators) were estimated. Stepwise multivariate logistic regression models generated risk factors for adverse drug events. RESULTS: From 2000 to 2016, 12,640 out of 698,501 pediatric asthma discharges (1.7%) were associated with adverse drug events from anti-asthmatic medications. 0.83% were adverse drug events from corticosteroids, resulting in a 1.14-fold increase in the length of stay (days) and a 1.42-fold increase in hospitalization charges (dollars). The overall incidence (per 1000 discharges) of anti-asthmatic medication adverse drug events increased from 5.3 (95% confidence interval [CI] 4.6-6.1) in 2000 to 21.6 (95% CI 18.7-24.6) in 2016 (p-trend = 0.024). Children aged 0-4 years had the most dramatic increase in the incidence of bronchodilator adverse drug events from 0.2 (95% CI 0.1-0.4) to 19.3 (95% CI 15.2-23.4) [p-trend ≤ 0.001]. In general, discharges among asthmatic children with some comorbidities were associated with an approximately two to five times higher odds of adverse drug events. CONCLUSIONS: The incidence of adverse drug events from common anti-asthmatic medications quadrupled over the past decade, particularly among preschool-age children who used bronchodilators, resulting in substantial increased healthcare costs. Those asthmatic children with complex medical conditions may benefit the most from adverse drug event monitoring.

Results of COVID-19 Surveillance in a Large United States Pediatric Healthcare System over One Year.

BACKGROUND: The lack of SARS-CoV-2 antigen surveillance testing in the pediatric population has inhibited accurate infection and hospitalization prevalence estimates. We aim to report the estimated prevalence of and risk factors for COVID-19 infection, hospitalization, and intensive care unit (ICU) admission across the three United States (US) waves in one of the largest pediatric healthcare systems in the nation. METHODS: Retrospective electronic health record (EHR) review of all COVID-19 surveillance data among children aged 0-19 years seeking healthcare at one pediatric healthcare system that serves predominantly Medicaid-dependent families from 1 March 2020 to 31 March 2021. COVID-19 infection status (Y/N), hospital admission (Y/N), and ICU admission (Y/N) are the main outcomes. RESULTS: Of 22,377 children aged ≤ 19 years tested for SARS-CoV-2 infection from March 2020-March 2021, 3126 were positive (14.0%), and out of those positive, 53.7% were hospitalized and 2.9% were admitted to the ICU. Compared to Wave 1 (1 March 2020-31 May 2020), the risk of a positive test increased from 16% (RR 1.16, 95% CI, 1.07-1.26) in Wave 2 (1 June 2020-31 October 2020) to 33% (RR 1.33, 95% CI, 1.23-1.44) in Wave 3 (1 November 2020-31 March 2021). Similarly, compared to Wave 1, the risk for hospitalization increased 86% (RR 1.86, 95% CI, 1.86-2.06) in Wave 2 and 89% in Wave 3 (RR 1.89, 95% CI, 1.70-2.08), and the risk for ICU admission increased from 10% in Wave 2 (RR 1.10, 95% CI, 0.39-3.01) to 310% in Wave 3 (RR 3.10, 95% CI, 1.21-7.80). Children with asthma, depressive disorders, type 1 or 2 diabetes, and anemia were more likely to be hospitalized while children with diabetes, obesity, cardiac malformations, and hypertension were more likely to be admitted to the ICU versus children without these conditions. CONCLUSIONS: Children were cumulatively impacted by the COVID-19 pandemic through the three US waves with more than a third hospitalized in Wave 3. Children with underlying health conditions were particularly at risk for severe illness and should be monitored for any long-term impacts.