Risky self-management behaviors in adolescents with type 1 diabetes: Measurement validation for the Diabetes-Specific Risk-Taking Inventory.

OBJECTIVE: Among persons with type 1 diabetes (T1D), adolescents often experience the greatest challenge achieving optimal treatment engagement and glycemic targets. Risk-taking behaviors often increase during adolescence and may interfere with engagement in T1D care. We developed the Diabetes-Specific Risk-Taking Inventory (DSRI) to assess risky T1D self-management behaviors in adolescents with T1D. In the current study, we aimed to examine the DSRI's psychometric properties. RESEARCH DESIGN AND METHODS: We surveyed a national sample of 224 adolescents from the T1D Exchange registry (M age = 16.9 ± 1.1, 49% female, M A1c = 8.5% ± 1.3, 76.8% on insulin pumps) in a cross-sectional design. Participants completed the DSRI and measures of engagement, general risk-taking, and executive functioning and reported on incidence of severe hypoglycemia and diabetic ketoacidosis over the past year. RESULTS: The DSRI demonstrated reliability (internal consistency: α = 0.89; test-retest reliability: r = 0.86, p < 0.01). Concurrent validity was demonstrated through significant associations between the DSRI and T1D engagement (r = -0.75), general risk-taking (r = 0.57), executive dysfunction (r = 0.34), and report of severe hypoglycemia over the past year (r = 0.22). The DSRI accounted for unique variance in adolescents' most recent glycated hemoglobin, above and beyond other variables, indicating its incremental validity. CONCLUSIONS: Overall, initial psychometrics suggest the DSRI is a reliable and valid measure of risks that adolescents may take with their T1D care. This innovative self-report measure has potential to be an actionable clinical tool to screen for high-risk behaviors not routinely assessed in T1D clinical care.

"Why We Keep Coming Back": Family and Provider Perspectives on Factors Influencing Long-term Follow-up for Pediatric Cancer Survivorship Care.

PURPOSE: The majority of childhood cancer survivors do not follow-up for long-term risk-based screening for recurrent illness and treatment late effects, despite a high prevalence of secondary morbidities. The primary aim of this study was to investigate factors that influence long-term follow-up for survivorship care, from the perspectives of providers, patients, and caregivers. MATERIALS AND METHODS: A semistructured interview was designed to elicit stakeholder perspectives on factors that facilitate or impede routine clinic visits after completion of cancer therapy. Results were analyzed using a qualitative framework method. RESULTS: Providers, patients, and caregivers identified a wide range of factors that might influence long-term follow-up for care. All respondents noted the importance of efficient clinical operations, resources such as parking, provider behaviors, rapport/attachment, and patient/family logistics. Compared with patients/caregivers, providers more frequently mentioned institutional operations, their own education and skills, patient/family understanding and motivation, and interpersonal processes such as communication style. Families more frequently mentioned clinic environment, and patients more frequently noted the importance of having a family member present, something neither providers nor caregivers reported. CONCLUSIONS: Providers, patients, and patient caregivers have different perspectives regarding factors that may influence follow-up for long-term survivorship care. Understanding these differences can help inform efforts to improve follow-up.

An Automated Risk Index for Diabetic Ketoacidosis in Pediatric Patients With Type 1 Diabetes: The RI-DKA.

Identifying patients at high risk for diabetic ketoacidosis (DKA) is crucial for informing efforts at preventive intervention. This study sought to develop and validate an electronic medical record (EMR)-based tool for predicting DKA risk in pediatric patients with type 1 diabetes. Based on analysis of data from 1,864 patients with type 1 diabetes, three factors emerged as significant predictors of DKA: most recent A1C, type of health insurance (public vs. private), and prior DKA. A prediction model was developed based on these factors and tested to identify and categorize patients at low, moderate, and high risk for experiencing DKA within the next year. This work demonstrates that risk for DKA can be predicted using a simple model that can be automatically derived from variables in the EMR.

A Comprehensive System for Identifying Patients With Type 1 Diabetes at Increased Risk for Diabetic Ketoacidosis at Texas Children's Hospital.

Quality Improvement Success Stories are published by the American Diabetes Association in collaboration with the American College of Physicians and the National Diabetes Education Program. This series is intended to highlight best practices and strategies from programs and clinics that have successfully improved the quality of care for people with diabetes or related conditions. Each article in the series is reviewed and follows a standard format developed by the editors of Clinical Diabetes. The following article describes a project at Texas Children's Hospital aimed at improving identification of patients with type 1 diabetes at high risk for diabetic ketoacidosis.

Neurocognitive, adaptive, and psychosocial functioning in individuals with Robinow syndrome.

It has been estimated that 10-15% of people with Robinow syndrome (RS) show delayed development, but no studies have formally assessed developmental domains. The objective of this study is to provide the first description of cognitive, adaptive, and psychological functioning in RS. Thirteen participants (10 males) aged 4-51 years were seen for neuropsychological screening. Eight had autosomal-dominant RS (DVL1, n = 5; WNT5A, n = 3), four had autosomal-recessive RS (NXN, n = 2; ROR2, n = 2), and one had a mutation on an RS candidate gene (GPC4). Participants completed measures of intellectual, fine-motor, adaptive, executive, and psychological functioning. Findings indicated generally average intellectual functioning and low-average visuomotor skills. Adaptive functioning was average in autosomal-recessive RS (RRS) but low average in autosomal-dominant RS (DRS). Parent-report indicated executive dysfunction and attention problems in 4/8 children, 3/4 of whom had a DVL1 variant; adult self-report did not indicate similar difficulties. Learning disabilities were also reported in 4/8 individuals with DRS, 3/4 of whom had a DVL1 variant. Peer problems were reported for a majority of participants, many of whom also reported emotional concerns. Altogether, the findings indicate average neurocognitive functioning in RRS. In contrast, DRS, especially DVL1 pathogenic alleles, may confer specific risk for neurodevelopmental disability.

The Diabetes-Specific Risk-Taking Inventory: Piloting a New Measure for Adolescents With Type 1 Diabetes.

OBJECTIVE: We sought to develop and pilot a new measure, the Diabetes-Specific Risk-Taking Inventory (DSRI), to assess unhealthy risk-taking behaviors among adolescents with type 1 diabetes. METHODS: Thirteen diabetes health care providers, 30 adolescents with type 1 diabetes (aged 15-19 years, 60% female, mean A1C 8.7% [72 mmol/mol], and 33% on insulin pumps), and the adolescents' caregivers rated the perceived riskiness of each item on the DSRI. Adolescents completed the DSRI, for which they reported how often they engaged in 34 behaviors that could place them at risk for acute complications of type 1 diabetes or out-of-range blood glucose levels. Adolescents also completed the risk-taking subscale from the Risk-Taking and Self-Harm Inventory for Adolescents, and parents completed the parent-proxy Diabetes Management Questionnaire. Mean A1C during the previous year was obtained via medical chart review. RESULTS: Results indicated good content validity and feasibility for using the DSRI in a research context, as 100% of adolescents who consented to the study completed the measure. The DSRI was positively correlated with general risk-taking and negatively correlated with diabetes management, indicating preliminary evidence of convergent validity. The DSRI also correlated with A1C. CONCLUSION: This pilot study extends our previous work in developing a conceptual model for illness-specific risk-taking. The DSRI is a promising new measure to assess illness-specific risk-taking, including unhealthy risk-taking behaviors, for adolescents with type 1 diabetes.

Costello syndrome: Clinical phenotype, genotype, and management guidelines.

Costello syndrome (CS) is a RASopathy caused by activating germline mutations in HRAS. Due to ubiquitous HRAS gene expression, CS affects multiple organ systems and individuals are predisposed to cancer. Individuals with CS may have distinctive craniofacial features, cardiac anomalies, growth and developmental delays, as well as dermatological, orthopedic, ocular, and neurological issues; however, considerable overlap with other RASopathies exists. Medical evaluation requires an understanding of the multifaceted phenotype. Subspecialists may have limited experience in caring for these individuals because of the rarity of CS. Furthermore, the phenotypic presentation may vary with the underlying genotype. These guidelines were developed by an interdisciplinary team of experts in order to encourage timely health care practices and provide medical management guidelines for the primary and specialty care provider, as well as for the families and affected individuals across their lifespan. These guidelines are based on expert opinion and do not represent evidence-based guidelines due to the lack of data for this rare condition.

Age-related differences in prevalence of autism spectrum disorder symptoms in children and adolescents with Costello syndrome.

Dysregulation of the mitogen activated protein kinase (MAPK) pathway in Costello syndrome (CS) may contribute to increased risk for autism-spectrum disorder (ASD). We examined prevalence of ASD symptoms in 14 individuals (six females) age 1-18 years with molecularly confirmed CS. Caregivers completed the Modified Checklist for Autism in Toddlers (M-CHAT) for ages 0-4 years (n = 7), and the Social Communication Questionnaire (SCQ) for ages 4 and older (n = 7). Age was associated with meeting ASD criteria: 5/7 (71.4%) younger children met the ASD cut-off on the MCHAT, compared to 0/7 older children on the SCQ. The following medical and developmental factors were strongly associated with ASD criteria on the M-CHAT: having a gastrostomy tube at time of assessment, not eating solid food, not walking, and not being toilet trained. Two children who met stricter ASD criteria had significantly lower adaptive functioning and were physically much more impaired. Among older participants, SCQ subscale scores in communication, socialization, and repetitive behavior domains were comparable to the typically-developing normative sample. ASD symptoms were highly elevated in younger CS individuals. Older children did not differ from typically developing samples in prevalence of ASD symptoms. CS individuals may appear to fall on the autism spectrum in early childhood due to severe feeding and orthopedic problems that improve by age four, suggesting many of these children may eventually emerge out of an ASD presentation.

Predictors of Suboptimal Follow-up in Pediatric Cancer Survivors.

Attendance to follow-up care after completion of cancer treatment is an understudied area. We examined demographic, clinical, and socioeconomic predictors of follow-up by pediatric cancer patients at a large center in 442 newly diagnosed patients using multivariable logistic regression analyses. Patients who did not return to clinic for at least 1000 days were considered lost to follow-up. Two hundred forty-two (54.8%) patients were lost. In multivariable analyses, the following variables were independent predictors of being lost to follow-up: treatment with surgery alone (odds ratio [OR]=6.7; 95% confidence interval [CI], 3.1-14.9), older age at diagnosis (reference, 0 to 4; ages, 5 to 9: OR=1.8, 95% CI, 1.1-3; ages, 10 to 14: OR=3.3; CI, 1.8-6.1; and ages, 15 and above: OR=4.8; CI, 2.1-11.7), lack of history of stem cell transplantation (OR=2, 95% CI, 1.04-3.7) and lack of insurance (OR=3.4; CI, 1.2-9.2). Hispanic patients had the best follow-up rates (53.7%) compared to whites and blacks (P=0.03). Attendance to long-term follow-up care is suboptimal in childhood cancer survivors. Predictors that were associated with nonattendance can be used to design targeted interventions to improve follow-up care for survivors of pediatric cancer.

Illness-Specific Risk-Taking in Adolescence: A Missing Piece of the Nonadherence Puzzle for Youth With Type 1 Diabetes?

Risky behavior is often at its lifetime peak in adolescence. Chronic illness creates additional opportunities for risk because nonadherence behaviors can jeopardize adolescents' health. Adolescents with type 1 diabetes could engage in risky behavior around insulin administration that would put them in danger of severe health consequences. It is possible that some nonadherence behaviors observed in adolescents with type 1 diabetes may result from youth taking risks with their medical treatment. Illness-specific risk-taking behaviors are not captured in most assessments of adherence, which primarily focus on frequency of adherence behaviors. This article reviews current models of general risk-taking and their implications for diabetes management. The authors argue that illness-specific risk-taking may be an important, understudied aspect of illness management that can inform future studies and treatment of nonadherence in adolescents with type 1 diabetes.