Benefits, implementation and sustainability of innovative paediatric models of care for children with type 1 diabetes: a systematic review.

BACKGROUND AND AIM: The evidence about the acceptability and effectiveness of innovative paediatric models of care for Type 1 diabetes is limited. To address this gap, we synthesised literature on implemented models of care, model components, outcomes, and determinants of implementation and sustainability. METHODS: A systematic review was conducted and reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Database searches of Medline, CINAHL, EMBASE and Scopus were conducted. Empirical studies focused on Type 1 diabetes paediatric models of care, published from 2010 to 2022 in English were included. RESULTS: Nineteen extant studies reported on models and their associations with health and psychosocial outcomes, patient engagement with healthcare, and healthcare costs. Thirteen studies described multidisciplinary teamwork, education and capacity building that supported self-care. Four studies involved shared decision making between providers and patients, and two discussed outreach support where technology was an enabler. Fourteen studies reported improvements in health outcomes (e.g. glycaemic control), mostly for models that included multidisciplinary teams, education, and capacity building (11 studies), outreach support or shared care (3 studies). Four studies reported improvements in quality of life, three reported increased satisfaction for patients and carers and, and one reported improved communication. Four of five studies describing shared care and decision-making reported improvements in quality of life, support and motivation. Outreach models reported no negative outcomes, however, accessing some models was limited by technological and cost barriers. Eight studies reported on model sustainability, but only half reported implementation determinants; none reported applying a theoretical framework to guide their research. CONCLUSION: Some health and psychosocial benefits were associated with newer models. To address knowledge gaps about implementation determinants and model sustainability, longitudinal studies are needed to inform future adoption of innovative models of care for children with Type 1 diabetes.

Early Dysglycemia Is Detectable Using Continuous Glucose Monitoring in Very Young Children at Risk of Type 1 Diabetes.

OBJECTIVE: Continuous glucose monitoring (CGM) can detect early dysglycemia in older children and adults with presymptomatic type 1 diabetes (T1D) and predict risk of progression to clinical onset. However, CGM data for very young children at greatest risk of disease progression are lacking. This study aimed to investigate the use of CGM data measured in children being longitudinally observed in the Australian Environmental Determinants of Islet Autoimmunity (ENDIA) study from birth to age 10 years. RESEARCH DESIGN AND METHODS: Between January 2021 and June 2023, 31 ENDIA children with persistent multiple islet autoimmunity (PM Ab+) and 24 age-matched controls underwent CGM assessment alongside standard clinical monitoring. The CGM metrics of glucose SD (SDSGL), coefficient of variation (CEV), mean sensor glucose (SGL), and percentage of time >7.8 mmol/L (140 mg/dL) were determined and examined for between-group differences. RESULTS: The mean (SD) ages of PM Ab+ and Ab- children were 4.4 (1.8) and 4.7 (1.9) years, respectively. Eighty-six percent of eligible PM Ab+ children consented to CGM wear, achieving a median (quartile 1 [Q1], Q3) sensor wear period of 12.5 (9.0, 15.0) days. PM Ab+ children had higher median (Q1, Q3) SDSGL (1.1 [0.9, 1.3] vs. 0.9 [0.8, 1.0] mmol/L; P < 0.001) and CEV (17.3% [16.0, 20.9] vs. 14.7% [12.9, 16.6]; P < 0.001). Percentage of time >7.8 mmol/L was greater in PM Ab+ children (median [Q1, Q3] 8.0% [4.4, 13.0] compared with 3.3% [1.4, 5.3] in Ab- children; P = 0.005). Mean SGL did not differ significantly between groups (P = 0.10). CONCLUSIONS: CGM is feasible and well tolerated in very young children at risk of T1D. Very young PM Ab+ children have increased SDSGL, CEV, and percentage of time >7.8 mmol/L, consistent with prior studies involving older participants.

COVID-19 Disease in Children With ALL Receiving Maintenance Therapy: Do Not Discount the Risk.

PURPOSE: Unlike most childhood cancers, therapy for ALL includes a prolonged maintenance phase during which children typically resume regular activities. Physicians need data regarding the persistent impact of COVID-19 in this population to help guide families after the pandemic. METHODS: The Pediatric Oncology COVID-19 Case Report (POCC) collects deidentified data (sociodemographics, clinical data [cancer, COVID-19 course]) on children, adolescents, and young adults with cancer and COVID-19 from 104 US pediatric oncology institutions. The analysis presented here compares children (≤21 years) with ALL in maintenance (ALL-MTN) with all other children with cancer and COVID-19. Multivariable analyses adjust for age, race/ethnicity, insurance, absolute neutrophil count at the time of infection, vaccination, and comorbidities. RESULTS: Compared with other children reported to POCC (n = 1,190), those in ALL-MTN (n = 481) were less often hospitalized (23% v 29%, P = .01) or admitted to the intensive care unit (ICU: 3% v 5%, P = .01); these findings persisted in multivariable analysis (hospitalization: odds ratio [OR], 0.7 [95% CI, 0.6 to 0.9]; ICU: OR, 0.5 [95% CI, 0.2 to 0.8]). However, cancer-directed therapy was changed more often for children in ALL-MTN (50% v 33%, P ≤ .01; OR, 2.0 [95% CI, 1.6 to 2.5[). Vaccination was an independent prognostic factor in our multivariable model, decreasing odds of hospitalization (OR, 0.7 [95% CI, 0.5 to 0.9]). CONCLUSION: Children in ALL-MTN required fewer hospitalizations and ICU admissions but more therapy modifications than other children with cancer. Vaccination against COVID-19 reduced the odds of hospitalization.

Protocol for the Australian Type 1 Diabetes National Screening Pilot: Assessing the feasibility and acceptability of three general population screening models in children.

AIM: One third of Australian children diagnosed with type 1 diabetes present with life-threatening diabetic ketoacidosis (DKA) at diagnosis. Screening for early-stage, presymptomatic type 1 diabetes, with ongoing follow-up, can substantially reduce this risk (<5% risk). Several screening models are being trialled internationally, without consensus on the optimal approach. This pilot study aims to assess three models for a routine, population-wide screening programme in Australia. METHODS: An implementation science-guided pilot study to evaluate the feasibility, acceptability and costs of three screening models in children will be conducted between July 2022 and June 2024. These models are as follows: (1) Genetic risk-stratified screening using newborn heel prick dried bloodspots, followed by autoantibody testing from 11 months of age; (2) genetic risk-stratified screening of infant (6-12 months) saliva followed by autoantibody testing from 10 months of age; and (3) autoantibody screening using capillary dried bloodspots collected from children aged 2, 6 or 10 years. Cohorts for each model will be recruited from targeted geographic areas across Australia involving ≥2 states per cohort, with a recruitment target of up to 3000 children per cohort (total up to 9000 children). The primary outcome is screening uptake for each cohort. Secondary outcomes include programme feasibility, costs, parental anxiety, risk perception, satisfaction, well-being and quality of life, and health professional attitudes and satisfaction. CONCLUSIONS: This pilot is the first direct comparison of three screening implementation models for general population screening. Findings will provide evidence to inform a potential national screening programme for Australian children. TRIAL REGISTRATION: ACTRN12622000381785.

Myocardial infarction & C-reactive protein levels among Mexican adults with arthritis: Findings from the Mexican Health and Aging Study.

Background: Studies of adult populations in high-income countries have found an association between arthritis and myocardial infarction (MI) due to high levels of systemic inflammation. Our objectives were to examine the association between arthritis and MI among Mexican adults and to assess the mediating effect of C-reactive protein (CRP) on this association. Methods: Data came from the 2012, 2015, and 2018 observation waves of the Mexican Health and Aging Study. Our sample included 11,707 participants aged 50 and older with no prior MI before 2012. We used self-reported information for arthritis, joint pain, medication use, and limitations to daily activities in 2012. Logistic regression was used to model the association between arthritis and self-reported MI in 2015 or 2018. We used a sub-sample of 1602 participants to assess the mediating effect of CRP. Results: In the full sample, participants with arthritis that limited their daily activities had higher odds of MI than participants with no arthritis (OR = 1.40; 95 % CI = 1.04-1.88). In the sub-sample, arthritis that limited daily activities was associated with higher mean CRP (5.2 mg/dL; 95 % CI = 4.10-6.21) than arthritis with no limitations (3.5 mg/dL; 95 % CI = 2.93-4.01). However, CRP levels had a small mediating effect, and the relationship between arthritis with physical limitations and MI remained statistically significant. Conclusion: Mexican adults with arthritis that limits their daily activities are at an increased risk for MI. Continued research is needed to identify factors that contribute to this increased risk.

Environmental Determinants of Islet Autoimmunity (ENDIA) longitudinal prospective pregnancy to childhood cohort study of Australian children at risk of type 1 diabetes: parental demographics and birth information.

INTRODUCTION: The Environmental Determinants of Islet Autoimmunity (ENDIA) Study is an ongoing Australian prospective cohort study investigating how modifiable prenatal and early-life exposures drive the development of islet autoimmunity and type 1 diabetes (T1D) in children. In this profile, we describe the cohort's parental demographics, maternal and neonatal outcomes and human leukocyte antigen (HLA) genotypes. RESEARCH DESIGN AND METHODS: Inclusion criteria were an unborn child, or infant aged less than 6 months, with a first-degree relative (FDR) with T1D. The primary outcome was persistent islet autoimmunity, with children followed until a T1D diagnosis or 10 years of age. Demographic data were collected at enrollment. Lifestyle, clinical and anthropometric data were collected at each visit during pregnancy and clinical pregnancy and birth data were verified against medical case notes. Data were compared between mothers with and without T1D. HLA genotyping was performed on the ENDIA child and all available FDRs. RESULTS: The final cohort comprised 1473 infants born to 1214 gestational mothers across 1453 pregnancies, with 80% enrolled during pregnancy. The distribution of familial T1D probands was 62% maternal, 28% paternal and 11% sibling. The frequency of high-risk HLA genotypes was highest in T1D probands, followed by ENDIA infants, and lowest among unaffected family members. Mothers with T1D had higher rates of pregnancy complications and perinatal intervention, and larger babies of shorter gestation. Parent demographics were comparable to the Australian population for age, parity and obesity. A greater percentage of ENDIA parents were Australian born, lived in a major city and had higher socioeconomic advantage and education. CONCLUSIONS: This comprehensive profile provides the context for understanding ENDIA's scope, methodology, unique strengths and limitations. Now fully recruited, ENDIA will provide unique insights into the roles of early-life factors in the development of islet autoimmunity and T1D in the Australian environment. TRIAL REGISTRATION NUMBER: ACTRN12613000794707.

Serum amyloid A increases following routine vaccination of healthy adult horses.

OBJECTIVES: To measure the effect of routine vaccination on serum amyloid A (SAA) concentration in apparently healthy horses. We hypothesized that routine vaccination would increase SAA in healthy horses. ANIMALS: 21 apparently healthy client-owned horses and 15 Kansas State University College of Veterinary Medicine-owned horses. METHODS: In experiment 1 (n = 8 horses), a blinded, randomized, prospective, crossover study was performed. Horses were either vaccinated (rabies, tetanus, West Nile, Eastern and Western equine encephalomyelitis, equine herpesvirus-1/-4, influenza) or administered saline, and SAA was measured at 6, 12, and 24 hours and daily until day 10 with a commercial lateral-flow immunoassay. In experiment 2 (n = 28 horses), a prospective, observational study measured SAA after vaccination at 12 and 24 hours and daily until day 10. A linear mixed-effect model with repeated measures over time blocked by horse tested the effect of treatment on SAA. A repeated-measures correlation tested the correlation between SAA and temperature. RESULTS: Over time, vaccinated horses had increased model-adjusted SAA compared to unvaccinated horses without clinical evidence of adverse reaction (P < .01). In experiment 1, the model-adjusted SAA after vaccination peaked on day 2 (median, 1,872 µg/mL; IQR, 1,220.8 to 2,402.5 µg/mL) and returned to normal (< 20 µg/mL) by day 9 (median, 6 µg/mL; IQR, 0.8 to 23.5 µg/mL) after vaccination. In experiment 2, vaccinated horses had increased SAA over time; temperature and SAA were not correlated (P = .78). CLINICAL RELEVANCE: Results of this study indicated that routine vaccination results in increased SAA concentration and provided evidence for a period of convalescence following vaccination. Measuring SAA for 10 days following vaccination cannot be used as an indicator of illness.

Development of a Novel Mobile Health App to Empower Young People With Type 1 Diabetes to Exercise Safely: Co-Design Approach.

BACKGROUND: Blood glucose management around exercise is challenging for youth with type 1 diabetes (T1D). Previous research has indicated interventions including decision-support aids to better support youth to effectively contextualize blood glucose results and take appropriate action to optimize glucose levels during and after exercise. Mobile health (mHealth) apps help deliver health behavior interventions to youth with T1D, given the use of technology for glucose monitoring, insulin dosing, and carbohydrate counting. OBJECTIVE: We aimed to develop a novel prototype mHealth app to support exercise management among youth with T1D, detail the application of a co-design process and design thinking principles to inform app design and development, and identify app content and functionality that youth with T1D need to meet their physical activity goals. METHODS: A co-design approach with a user-centered design thinking framework was used to develop a prototype mHealth app "acT1ve" during the 18-month design process (March 2018 to September 2019). To better understand and respond to the challenges among youth with diabetes when physically active, 10 focus groups were conducted with youth aged 13-25 years with T1D and parents of youth with T1D. Thereafter, we conducted participatory design workshops with youth to identify key app features that would support individual needs when physically active. These features were incorporated into a wireframe, which was critically reviewed by participants. A beta version of "acT1ve" was built in iOS and android operating systems, which underwent critical review by end users, clinicians, researchers, experts in exercise and T1D, and app designers. RESULTS: Sixty youth with T1D, 14 parents, 6 researchers, and 10 clinicians were engaged in the development of "acT1ve." acT1ve included key features identified by youth, which would support their individual needs when physically active. It provided advice on carbohydrates and insulin during exercise, information on hypoglycemia treatment, pre- and postexercise advice, and an educational food guide regarding exercise management. "acT1ve" contained an exercise advisor algorithm comprising 240 pathways developed by experts in diabetes and exercise research. Based on participant input during exercise, acT1ve provided personalized insulin and carbohydrate advice for exercise lasting up to 60 minutes. It also contains other features including an activity log, which displays a complete record of the end users' activities and associated exercise advice provided by the app's algorithm for later reference, and regular reminder notifications for end users to check or monitor their glucose levels. CONCLUSIONS: The co-design approach and the practical application of the user-centered design thinking framework were successfully applied in developing "acT1ve." The design thinking processes allowed youth with T1D to identify app features that would support them to be physically active, and particularly enabled the delivery of individualized advice. Furthermore, app development has been described in detail to help guide others embarking on a similar project. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12619001414101; https://tinyurl.com/mu9jvn2d.

Psychosocial burden after the death of a child from cancer: Results of a bereaved parent survey.

Parents experience lasting psychological distress after a child's death from cancer. Limited evidence exists regarding difficult life events, duration of psychosocial impacts, and associated risk factors among bereaved parents. Alex's Lemonade Stand Foundation surveyed self-selected, bereaved parents regarding difficult life events and psychosocial wellbeing (life satisfaction, unanswered questions, and missing the care team) through a public, cross-sectional survey. 176 bereaved parents (89% mothers) participated a median of 7 y after their child's death. The most difficult events were family vacations (80%), their child's birthday (80%), and anniversary of their child's death (76%). Only the latter did not improve with time. Greater life satisfaction was associated with male sex (ARR = 1.2, 95% CI:1.1-1.4) and being married/partnered (ARR = 1.2, 95% CI = 1.0-1.3). Having unanswered questions and missing the child's team were associated with annual income <$50,000 (ARR = 1.2, 95% CI:1.1-1.2; ARR = 1.2, 95% CI:1.0-1.3, respectively). Pediatric oncology programs need robust bereavement programs that include prolonged contact with families.

Survey indicates addressing workplace environment, work-life balance, and flexibility are key to attracting and retaining veterinarians in academia.

OBJECTIVE: Referencing growing concerns over the recruitment and retention of faculty in academic veterinary medicine, the authors hypothesized that among surveyed veterinary residents and early-career faculty, work-life balance and workplace climate and culture are stronger motivators than financial considerations, regardless of demographic factors such as gender, race/ethnicity, and area of specialization. SAMPLE: 541 participants were included in data analysis. METHODS: A mixed methods approach was utilized, incorporating both quantitative data and qualitative, free-text responses to better understand veterinary career choices by contextualizing factors associated with academic medicine. RESULTS: Factors underpinning career-related decision-making were ranked by level of importance as (1) workplace environment/culture, (2) personal well-being/work-life balance, (3) salary and bonuses, (4) geographic location, (5) facilities and resources, (6) benefits, and (7) schedule flexibility. Desires for workload balance, schedule flexibility, support from leadership, and mentorship and collaboration were among the top themes of qualitative responses for both residents and early career faculty respondents. Factors influencing career decision-making for resident and early-career faculty are varied. Workplace environment, work-life balance, and schedule flexibility are areas that academic institutions can address and continue to improve and that are likely to positively impact entry into academia and the desire to stay. CLINICAL RELEVANCE: This study sought to understand factors related to career decision-making and interest in academic veterinary medicine among residents and early-career faculty. Understanding these factors can support efforts to recruit and retain faculty in academic veterinary medicine.

The effect of sociodemographic characteristics, academic factors, and individual health behaviors on psychological well-being among college students.

Objective: This study aimed to measure the potential relationships between sociodemographic characteristics, academic factors, body mass index (BMI), financial challenges, individual health behaviors, impact of COVID-19, and psychological well-being (PWB) among students. Participants: Undergraduate college students. Methods: Data from the National College Health Assessment III (American College Health Association [ACHA]) were used (n = 1,439). Differences in absolute values among PWB groups were analyzed using analysis of variance (ANOVA). To measure the influence of all factors combined on PWB, multiple regression analyses were performed. Results: Significant differences were observed in age, GPA, financial challenges, and individual health behaviors by PWB groups (p < .05). Being older, being female, having a higher GPA, being a full-time student, having a higher intake of vegetables, taking less time to fall asleep, and having lower stress levels were significantly positively associated with higher PWB scores (p < .05). Conclusions: Multiple considerations related to the academic environment and individual behaviors seem to influence PWB among college students.

Understanding racial differences in financial hardship among older adults surviving cancer.

BACKGROUND: Despite Medicare coverage, financial hardship is a prevalent issue among those diagnosed with cancer at age 65 years and older, particularly among those belonging to a racial or ethnic minority group. Sociodemographic, clinical, and area-level factors may mediate this relationship; however, no studies have assessed the extent to which these factors contribute to the racial/ethnic disparities in financial hardship. METHODS: Surveys assessing financial hardship were completed by 721 White (84%) or Black (16%) patients (aged 65 years and older) who were diagnosed with breast (34%), prostate (27%), lung (17%), or colorectal (14%) cancer or lymphoma (9%) at the University of Alabama at Birmingham between 2000 and 2019. Financial hardship included material, psychological, and behavioral domains. Nonlinear Blinder-Oaxaca effect decomposition methods were used to evaluate the extent to which individual and area-level factors contribute to racial disparities in financial hardship. RESULTS: Black patients reported lower income (65% vs. 34% earning <$50,000) and greater scores on the Area Deprivation Index (median, 93.0 vs. 55.0). Black patients reported significantly higher rates of overall (39% vs. 18%), material (29% vs. 11%), and psychological (27% vs. 11%) hardship compared with White patients. Overall, the observed characteristics explained 51% of racial differences in financial hardship among cancer survivors, primarily because of differences in income (23%) and area deprivation (11%). CONCLUSIONS: The current results identify primary contributors to racial disparities in financial hardship among older cancer survivors, which can be used to develop targeted interventions and allocate resources to those at greatest risk for financial hardship.

Behavior Change Techniques Involved in Physical Activity Interventions for Children With Chronic Conditions: A Systematic Review.

BACKGROUND: Behavior change techniques (BCTs) have been extensively used in physical activity interventions for children, however, no systematic reviews have synthesized their effects. PURPOSE: The present review aimed to identify the most promising BCTs used in physical activity interventions associated with (i) increased physical activity behavior and (ii) positive psychosocial outcomes in children with chronic conditions. METHODS: A systematic search of 6 databases identified 61 articles as eligible for inclusion. Data, including BCTs, were extracted from these studies and analyzed descriptively. Due to the heterogeneity of interventions, chronic conditions, and outcome measures, a meta-analysis was not conducted. RESULTS: Social support (unspecified), graded tasks, generalization of target behavior, and credible source were the most commonly reported and most promising (i.e., present in 2+ studies evidencing significant effects) BCTs across all studies. These BCTs were found to be especially relevant to improving psychosocial outcomes in the short- and long-term and improving physical activity behaviors in the long-term. Meanwhile, to improve short-term physical activity behaviors, in addition to social support (unspecified), action planning, goal setting (behavior), and problem solving were found to be promising BCTs. CONCLUSIONS: The BCTs identified in this review may be relevant to incorporate when planning future interventions to support physical activity and psychosocial outcomes for children with chronic conditions.

Children with chronic conditions experience several barriers to engaging in physical activity. In order to overcome these unique barriers, physical activity interventions would need to incorporate specific strategies (called behavior change techniques [BCTs]) to encourage physical activity participation. The present review sought to identify BCTs that were successfully applied to physical activity interventions to increase physical activity behavior and improve psychosocial outcomes for children with chronic conditions. Across the 61 studies included within this review, the most commonly applied BCTs were providing instruction, allowing opportunities to practice the behavior, and demonstration of the behavior. Social support was also found to be the a successful BCT to increase physical activity behavior and improve psychosocial outcomes in the short- and long-term. Future physical activity interventions aimed at supporting physical activity behavior and psychosocial outcomes of children with chronic conditions could benefit from incorporating these strategies within intervention planning and delivery.

Nearly 20 Years Since the Federal Ban: Can State-Level Assault Weapon Prohibitions Fill the Void? Comparative Analysis of Case Fatality and Assault Weapon Recovery in States With and Without an Assault Weapon Ban.

INTRODUCTION: Few states established assault weapon bans (AWBs) after the federal AWB expired. The effectiveness of state AWBs as well as neighboring state legislation, in reducing the local prevalence of assault weapons (AWs) or in reducing overall shooting lethality is unknown. METHODS: We queried the Gun Violence Archive (2014-2021) to identify US firearm injuries and fatalities. Shooting case fatality rates were compared among states with and without AWBs, as reported in the State Firearm Laws Database. Data on recovered firearms was obtained from the ATF Firearms Trace Database and used to estimate weapon prevalence. Recovered firearms were classified as AWs based on caliber (7.62 mm, 5.56 mm, 0.223 cal). We performed spatially weighted linear regression models, with fixed effects for state and year to assess the association between geographically clustered state legislation and firearm outcomes. RESULTS: From 2014 to 2021, the US shooting victim case fatality rate was 8.06% and did not differ among states with and without AWBs. The proportion of AWs to total firearms was 5.0% in states without an AWB and 6.0% in states with an AWB (mean difference [95% CI] = -0.8% [-1.6% to -0.2%], P = 0.03). Most recovered firearms in AWB states originated from non-AWB states. On adjusted models, there was no association between state-level AWB and firearm case fatality; however, adjacency to states with an AWB was associated with lower case fatality (P < 0.001). Clustered AWB states with shared borders had lower AW prevalence and fatality rates than the rest of the US. CONCLUSIONS: Isolated state AWBs are not inversely associated with shooting case fatality rates nor the prevalence of AWs, but AWBs among multiple neighboring states may be associated with both outcomes.

24-h energy expenditure in people with type 1 diabetes: impact on equations for clinical estimation of energy expenditure.

BACKGROUND/OBJECTIVES: Type 1 diabetes (T1D) is associated with an increase in resting metabolic rate (RMR), but the impact of T1D on other components of 24-h energy expenditure (24-h EE) is not known. Also, there is a lack of equations to estimate 24-h EE in patients with T1D. The aims of this analysis were to compare 24-h EE and its components in young adults with T1D and healthy controls across the spectrum of body mass index (BMI) and derive T1D-specific equations from clinical variables. SUBJECTS/METHODS: Thirty-three young adults with T1D diagnosed ≥1 year prior and 33 healthy controls matched for sex, age and BMI were included in this analysis. We measured 24-h EE inside a whole room indirect calorimeter (WRIC) and body composition with dual x-ray absorptiometry. RESULTS: Participants with T1D had significantly higher 24-h EE than healthy controls (T1D = 2047 ± 23 kcal/day vs control= 1908 ± 23 kcal/day; P < 0.01). We derived equations to estimate 24-h EE with both body composition (fat free mass + fat mass) and anthropometric (weight + height) models, which provided high coefficients of determination (R2 = 0.912 for both). A clinical model that did not incorporate spontaneous physical activity yielded high coefficients of determination as well (R2 = 0.897 and R2 = 0.880 for body composition and anthropometric models, respectively). CONCLUSION: These results confirm that young adults with established T1D have increased 24-h EE relative to controls without T1D. The derived equations from clinically available variables can assist clinicians with energy prescriptions for weight management in patients with T1D.

COVID-19 infection in children, adolescents, and young adults with Down syndrome and hematologic malignancies.

INTRODUCTION: Children, adolescents, and young adults (CAYAs) with Down syndrome (DS) and hematologic malignancies are particularly vulnerable to infections and related complications. There are limited data regarding COVID-19 infections in this group. We aimed to understand the clinical course of COVID-19 in this population. METHODS: This observational study leverages the de-identified clinical and sociodemographic data captured by the Pediatric Oncology COVID-19 Case Report Registry (POCC) regarding CAYAs with cancer and COVID-19. We evaluated CAYAs (≤21 years at COVID-19 infection) with hematologic malignancies and COVID-19 reported from April 1, 2020 to May 2, 2023, comparing those with and without DS. Using multivariable logistic regression, we examined rates of hospitalization, intensive care unit (ICU) admission, respiratory support, and changes in cancer-directed therapy. RESULTS: Among 1408 CAYAs with hematologic malignancies, 55 had DS (CAYA-DS). CAYA-DS had higher rates of hospitalization, ICU admission, and respiratory support (p < .001) than CAYAs without DS. Similarly, multivariable analyses found higher odds of hospitalization (odds ratio [OR] = 2.8, 95% confidence interval [CI]: 1.5-5.1), ICU admission (OR = 4.2, 95% CI: 1.9-9.1), and need for respiratory support (OR = 4.2, 95% CI: 2.0-8.8) among CAYA-DS. Modifications to cancer-directed therapy were more common among CAYA-DS when related to neutropenia (p = .001), but not when unrelated to neutropenia (p = .88); CAYA-DS did not have higher odds of changes to cancer-directed therapy (OR = 1.20, 95% CI: 0.7-2.1). CONCLUSIONS: We identify CAYA-DS with hematologic malignancies as a vulnerable subpopulation at greater risk for severe COVID-19 infection. This can inform conversations with patients and families regarding therapeutic and preventive measures, as well as the risks and benefits of modifying chemotherapy in the setting of COVID-19.

Estimating the Impact of Rurality in Disparities in Cancer Mortality.

PURPOSE: Estimation of the independent effect of rurality on cancer mortality requires causal inference methodology and consideration of area-level socioeconomic status and rural designations. METHODS: Using SEER data, we identified key incident cancers diagnosed between 2000 and 2016 at age ≥20 years (N = 3,788,273), examining a 20% random sample (n = 757,655). Standardized competing risk and survival models estimated the association between rural residence, defined by Rural-Urban Continuum Codes, and cancer-specific and all-cause mortality, controlling for age at cancer diagnosis, sex, race/ethnicity, year of diagnosis, and Area Deprivation Index (ADI). We estimated the attributable fraction (AF) of rurality and high ADI (ADI > median) to the probability of mortality. Finally, we examined county measurement issues contributing to mortality rates discordant from hypothesized rates. RESULTS: The 5-year standardized failure probability for cancer mortality for rural patients was 33.9% versus 31.56% for urban. The AF for rural residence was 1.04% at year 1 (0.89% by year 5), the highest among local stage disease (Y1 2.1% to Y5 1.9%). The AF for high ADI was 3.33% in Y1 (2.87% in Y5), while the joint effect of rural residence and high ADI was 4.28% in Y1 (3.71% in Y5). Twenty-two percent of urban counties and 30% of rural were discordant. Among discordant urban counties, 30% were only considered urban because of adjacency to metro area. High ADI was associated with urban discordance and low ADI with rural discordance. CONCLUSION: Rural residence independently contributes to cancer mortality. The rural impact is the greatest among those with localized disease and in high deprivation areas. Rural-urban county designations may mask high-need urban counties, limiting eligibility to state and federal resources dedicated to rural areas.

Adolescents and young adults with cancer: the clinical course of COVID-19 infections.

Adolescents and young adults (ie, individuals aged 15-39 years, known as AYAs) with cancer face unique vulnerabilities yet remain underrepresented in clinical trials, including adult registries of COVID-19 in cancer (AYAs: 8%-12%). We used the Pediatric Oncology COVID-19 Case Report to examine the clinical course of COVID-19 among AYAs with cancer. The Pediatric Oncology COVID-19 Case Report collects deidentified clinical and sociodemographic data regarding individuals aged from birth to 39 years with cancer (37%) and COVID-19 from more than 100 institutions. Between April 1, 2020, and November 28, 2023, 191 older AYAs (individuals 22-39 years of age) and 640 younger AYAs (individuals 15-21 years of age) were captured. Older AYAs were less often hospitalized (P < .001), admitted to the intensive care unit (P = .02), and required respiratory support (P = .057). In multivariable analyses, older AYAs faced 80% lower odds of intensive care unit admission but 2.3-times greater odds of changes to cancer-directed therapy. Unvaccinated patients had 5.4-times higher odds of intensive care unit admission. Among AYAs with cancer, the COVID-19 course varies by age. These findings can inform oncology teams directing COVID-19 management and prevention in AYA patients with cancer.