Implementation of recommended treatment for children in weight management programs: Lessons from the stay in treatment study sites.

OBJECTIVES: Pediatric obesity remains a public health crisis in the United States, exacerbated by the COVID-19 pandemic. There are recommended guidelines for multidisciplinary care, but they remain challenging to implement, even in tertiary care weight management programs. The aim of this analysis is to describe the implementation of these recommendations among four pediatric weight management programs in the United States. METHODS: This report capitalizes on a convenience sample of programs participating in the Stay In Treatment (SIT) Study, a multicenter study to address attrition among pediatric weight management programs in tertiary care, academic institutions in diverse geographic locations. The programs were compared regarding structure, program offerings, and funding support. RESULTS: The four programs were interdisciplinary, offered individual and group treatment options, and were family-based. A range of clinicians provided interventions with nutrition, physical activity, behavioral and psychosocial components. Anti-obesity pharmacotherapy and bariatric surgery were offered, when appropriate. None of the programs were self-sustaining; they required institutional and philanthropic support to provide recommended, comprehensive treatment. CONCLUSIONS: Ongoing state and national advocacy are needed in the US to create consistent coverage for private and public insurance plans, so that high-risk children can have access to recommended treatment.

Screening for Food Insecurity in a Pediatric Diabetes Program: Provider and Parent/Guardian Perspectives.

Food insecurity (FI) is associated with poor health outcomes in children, and studies have shown higher FI among children with diabetes mellitus. This study assessed provider (N = 22, 35.5% response rate) and parent/guardian (N = 207, 14.6% response rate) perspectives toward FI screening in a pediatric diabetes program. Among 22 providers, most "rarely" (54.5%) or "never" (27.3%) screened for FI although all felt that screening was at least "slightly important." Barriers included lack of time (63.6%), not remembering to screen (59.1%), lack of knowledge about how to address positive screens (45.5%), and being unsure how to screen (40.9%). Among 186 parent/guardians, only 24.1% had been asked about FI at a pediatric medical appointment, but only 8.6% disliked the idea of being asked by a medical provider at endocrinology visits. To be effective and sustainable, FI screening must fit within the visit flow, and providers need education on how to address positive screens.

Patient-Reported Outcomes to Describe Global Health and Family Relationships in Pediatric Weight Management.

Background: Patient-reported outcomes (PROs) can assess chronic health. The study aims were to pilot a survey through the PEDSnet Healthy Weight Network (HWN), collecting PROs in tertiary care pediatric weight management programs (PWMP) in the United States, and demonstrate that a 50% enrollment rate was feasible; describe PROs in this population; and explore the relationship between child/family characteristics and PROs. Methods: Participants included 12- to 18-year-old patients and parents of 5- to 18-year-olds receiving care at PWMP in eight HWN sites. Patient-Reported Outcomes Measurement Information System (PROMIS®) measures assessed global health (GH), fatigue, stress, and family relationships (FR). T-score cut points defined poor GH or FR or severe fatigue or stress. Generalized estimating equations explored relationships between patient/family characteristics and PROMIS measures. Results: Overall, 63% of eligible parents and 52% of eligible children enrolled. Seven sites achieved the goal enrollment for parents and four for children. Participants included 1447 children. By self-report, 44.6% reported poor GH, 8.6% poor FR, 9.3% severe fatigue, and 7.6% severe stress. Multiple-parent household was associated with lower odds of poor GH by parent proxy report [adjusted odds ratio (aOR) 0.69, 95% confidence interval (CI) 0.55-0.88] and poor FR by self-report (aOR 0.36, 95% CI 0.17-0.74). Parents were significantly more likely to report that the child had poor GH and poor FR when a child had multiple households. Conclusions: PROs were feasibly assessed across the HWN, although implementation varied by site. Nearly half of the children seeking care in PWMP reported poor GH, and family context may play a role. Future work may build on this pilot to show how PROs can inform clinical care in PWMP.

Dietary Risk Factors for Pediatric Kidney Stones: A Case-Control Study.

PURPOSE: Data are scarce regarding dietary risk factors for pediatric nephrolithiasis. Our objective was to perform a case-control study (nonmatched) of the association of dietary nutrients with pediatric urolithiasis. MATERIALS AND METHODS: We obtained dietary information from pediatric urolithiasis patients (from stone clinic in 2013-2016) and healthy controls (well-child visit at primary care in 2011-2012). Survey results were converted to standard nutrient intakes. Children younger than 5 years of age and those with extreme calorie intake values (<500 or >5,000 kcal/day) were excluded. The association of individual nutrients with urolithiasis was assessed by bivariate analysis results and machine-learning methods. A multivariable logistic regression model was fitted using urolithiasis as the outcome. RESULTS: We included 285 patients (57 stones/228 controls). Mean±SD age was 8.9±3.6 years (range 5-20). Of the patients 47% were male. After adjusting for age, sex, body mass index (obese/overweight/normal), calorie intake and oxalate, urolithiasis was associated with higher dietary sodium (OR=2.43 [95% CI=1.40-4.84] per quintile increase, p=0.004), calcium (OR=1.73 [95% CI=1.07-3.00] per quintile increase, p=0.034) and beta carotene (OR=2.01 [95% CI=1.06-4.18] per quintile increase, p=0.042), and lower potassium (OR=0.31 [95% CI=0.13-0.63] per quintile increase, p=0.003). Sensitivity analysis was performed by removing oxalate from the model and limiting the sample to patients aged 5-13 years, with similar results. CONCLUSIONS: In our cohort, higher dietary intake of calcium, sodium and beta carotene, and lower potassium intake were associated with pediatric urolithiasis. This is the first study using a detailed dietary survey to identify dietary risk factors for pediatric urolithiasis. Further research is warranted to delineate the mechanisms and to generate a lower risk diet profile for pediatric urolithiasis.

Testing an Automated Approach to Identify Variation in Outcomes among Children with Type 1 Diabetes across Multiple Sites.

Introduction: Efficient methods to obtain and benchmark national data are needed to improve comparative quality assessment for children with type 1 diabetes (T1D). PCORnet is a network of clinical data research networks whose infrastructure includes standardization to a Common Data Model (CDM) incorporating electronic health record (EHR)-derived data across multiple clinical institutions. The study aimed to determine the feasibility of the automated use of EHR data to assess comparative quality for T1D. Methods: In two PCORnet networks, PEDSnet and OneFlorida, the study assessed measures of glycemic control, diabetic ketoacidosis admissions, and clinic visits in 2016-2018 among youth 0-20 years of age. The study team developed measure EHR-based specifications, identified institution-specific rates using data stored in the CDM, and assessed agreement with manual chart review. Results: Among 9,740 youth with T1D across 12 institutions, one quarter (26%) had two or more measures of A1c greater than 9% annually (min 5%, max 47%). The median A1c was 8.5% (min site 7.9, max site 10.2). Overall, 4% were hospitalized for diabetic ketoacidosis (min 2%, max 8%). The predictive value of the PCORnet CDM was >75% for all measures and >90% for three measures. Conclusions: Using EHR-derived data to assess comparative quality for T1D is a valid, efficient, and reliable data collection tool for measuring T1D care and outcomes. Wide variations across institutions were observed, and even the best-performing institutions often failed to achieve the American Diabetes Association HbA1C goals (<7.5%).

Pediatric Clinicians' Use of Telemedicine: Qualitative Interview Study.

BACKGROUND: Bedside manner describes how clinicians relate to patients in person. Telemedicine allows clinicians to connect virtually with patients using digital tools. Effective virtual communication or webside manner may require modifications to traditional bedside manner. OBJECTIVE: This study aims to understand the experiences of telemedicine providers with patient-to-provider virtual visits and communication with families at a single large-volume children's hospital to inform program development and training for future clinicians. METHODS: A total of 2 focus groups of pediatric clinicians (N=11) performing virtual visits before the COVID-19 pandemic, with a range of experiences and specialties, were engaged to discuss experiential, implementation, and practice-related issues. Focus groups were facilitated using a semistructured guide covering general experience, preparedness, rapport strategies, and suggestions. Sessions were digitally recorded, and the corresponding transcripts were reviewed for data analysis. The transcripts were coded based on the identified main themes and subthemes. On the basis of a higher-level analysis of these codes, the study authors generated a final set of key themes to describe the collected data. RESULTS: Theme consistency was identified across diverse participants, although individual clinician experiences were influenced by their specialties and practices. A total of 3 key themes emerged regarding the development of best practices, barriers to scalability, and establishing patient rapport. Issues and concerns related to privacy were salient across all themes. Clinicians felt that telemedicine required new skills for patient interaction, and not all were comfortable with their training. CONCLUSIONS: Telemedicine provides benefits as well as challenges to health care delivery. In interprofessional focus groups, pediatric clinicians emphasized the importance of considering safety and privacy to promote rapport and webside manner when conducting virtual visits. The inclusion of webside manner instructions within training curricula is crucial as telemedicine becomes an established modality for providing health care.

Stay in treatment: Predicting dropout from pediatric weight management study protocol.

INTRODUCTION: Childhood obesity is a serious public health concern. Multidisciplinary pediatric weight management programs have been deemed effective. However, effectiveness of these programs is impacted by attrition, limiting health benefits to children, and inefficiently utilizing scarce resources. METHODS: We have developed a model (the Outcomes Forecasting System, OFS) that isolates variables associated with attrition from pediatric weight management, with the potential to forecast participant dropout. In Aim 1, we will increase the power and precision of the OFS and then validate the model through the consistent acquisition of key patient, family, and treatment data, from three different weight management sites. In Aim 2, external validity will be established through the application of the OFS at a fourth pediatric weight management program. Aim 3 will be a pilot clinical trial, incorporating an intervention built on the results of Aims 1 and 2 and utilizing the OFS to reduce attrition. DISCUSSION: A greater understanding of the patient, family, and disease-specific factors that predict dropout from pediatric weight management can be utilized to prevent attrition. The goal of the current study is to refine the OFS to a level of precision and efficiency to be a valuable tool to any weight management program. By identifying the most pertinent factors driving attrition across weight management sites, new avenues for treatment will be identified. This study will result in a valuable forecasting tool that will be applicable for diverse programs and populations, decrease program costs, and improve patient retention, adherence, and outcomes. CLINICALTRIALSGOV IDENTIFIER: NCT04364282.

A Worldwide Perspective on COVID-19 and Diabetes Management in 22,820 Children from the SWEET Project: Diabetic Ketoacidosis Rates Increase and Glycemic Control Is Maintained.

Aims: To investigate the short-term effects of the first wave of COVID-19 on clinical parameters in children with type 1 diabetes (T1D) from 82 worldwide centers participating in the Better Control in Pediatric and Adolescent DiabeteS: Working to CrEate CEnTers of Reference (SWEET) registry. Materials and Methods: Aggregated data per person with T1D ≤21 years of age were compared between May/June 2020 (first wave), August/September 2020 (after wave), and the same periods in 2019. Hierarchic linear and logistic regression models were applied. Models were adjusted for gender, age-, and diabetes duration-groups. To distinguish the added burden of the COVID-19 pandemic, the centers were divided into quartiles of first wave COVID-19-associated mortality in their country. Results: In May/June 2019 and 2020, respectively, there were 16,735 versus 12,157 persons, 52% versus 52% male, median age 13.4 (Q1; Q3: 10.1; 16.2) versus13.5 (10.2; 16.2) years, T1D duration 4.5 (2.1; 7.8) versus 4.5 (2.0; 7.8) years, and hemoglobin A1c (HbA1c) 60.7 (53.0; 73.8) versus 59.6 (50.8; 70.5) mmol/mol [7.8 (7.0; 8.9) versus 7.6 (6.8; 8.6) %]. Across all country quartiles of COVID-19 mortality, HbA1c and rate of severe hypoglycemia remained comparable to the year before the first wave, while diabetic ketoacidosis rates increased significantly in the centers from countries with the highest mortality rate, but returned to baseline after the wave. Continuous glucose monitoring use decreased slightly during the first wave (53% vs. 51%) and increased significantly thereafter (55% vs. 63%, P < 0.001). Conclusions: Although glycemic control was maintained, a significant rise in DKA at follow-up was seen during first wave in the quartile of countries with the highest COVID mortality. Trial Registration: NCT04427189.

Perioperative Management of Pediatric Patients With Type 1 Diabetes Mellitus, Updated Recommendations for Anesthesiologists.

Approximately 1 of every 300 children in the United States has type 1 diabetes mellitus (T1D), and these patients may require anesthetics for a variety of procedures. Perioperative coordination is complex, and attention to perioperative fasting, appropriate insulin administration, and management of hypo- and hyperglycemia, as well as other metabolic abnormalities, is required. Management decisions may be impacted by the patient's baseline glycemic control and home insulin regimen, the type of procedure being performed, and expected postoperative recovery. If possible, preoperative planning with input from the patient's endocrinologist is considered best practice. A multi-institutional working group was formed by the Society for Pediatric Anesthesia Quality and Safety Committee to review current guidelines in the endocrinology and anesthesia literature and provide recommendations to anesthesiologists caring for pediatric patients with T1D in the perioperative setting. Recommendations for preoperative evaluation, glucose monitoring, insulin administration, fluid management, and postoperative management are discussed, with particular attention to increasingly prevalent insulin pumps and continuous glucose monitoring (CGM).

The Relationship Between Housing Instability and Poor Diet Quality Among Urban Families.

OBJECTIVE: To examine associations between housing instability and poor diet quality in a sample of urban parents and children. METHODS: Cross-sectional study of 340 parent/guardian-child dyads visiting a pediatric primary care center in Boston, Massachusetts. The parent/guardian (hereafter, parent) completed 2 Harvard Service Food Frequency Questionnaires, one regarding their own dietary intake and one regarding their child's intake, and an assessment of health-related social needs. Diet quality was measured using the Healthy Eating Index-2010 (HEI-2010; score range 0-100). Housing instability was defined as: 1) homeless or in sheltered housing, 2) doubled up with another family, 3) utilities threatened or shut off, or 4) concerned about eviction. Multivariable logistic regression was used to measure associations between unstable housing and lowest-quartile HEI-2010 scores, adjusting for parent age, race/ethnicity, education, income, and child age. RESULTS: Median (interquartile range) parent and child HEI-2010 scores were 63.8 (56.3-70.8) and 59.0 (54.2-64.7), respectively. Housing instability was found in 136 dyads (40%). In multivariable analysis, it was associated with increased odds of lowest-quartile total parent HEI-2010 scores (adjusted odds ratio [aOR], 1.9; 95% confidence interval [95% CI], 1.1-3.5) but not child scores (aOR, 1.4; 95% CI, 0.8-2.5). It also was associated with increased odds of lowest-quartile parent HEI-2010 dietary component scores for Total vegetables and Greens and beans (aOR, 2.0; 95% CI, 1.1-3.7 and aOR, 2.5; 95% CI, 1.3-4.8, respectively). CONCLUSIONS: In this urban primary care population, housing instability is associated with lower diet quality scores for parents but not children. Lower vegetable consumption appears to drive this association.

Management of Type 1 Diabetes With a Very Low-Carbohydrate Diet.

OBJECTIVES: To evaluate glycemic control among children and adults with type 1 diabetes mellitus (T1DM) who consume a very low-carbohydrate diet (VLCD). METHODS: We conducted an online survey of an international social media group for people with T1DM who follow a VLCD. Respondents included adults and parents of children with T1DM. We assessed current hemoglobin A1c (HbA1c) (primary measure), change in HbA1c after the self-reported beginning of the VLCD, total daily insulin dose, and adverse events. We obtained confirmatory data from diabetes care providers and medical records. RESULTS: Of 316 respondents, 131 (42%) were parents of children with T1DM, and 57% were of female sex. Suggestive evidence of T1DM (based on a 3-tier scoring system in which researchers took into consideration age and weight at diagnosis, pancreatic autoimmunity, insulin requirement, and clinical presentation) was obtained for 273 (86%) respondents. The mean age at diagnosis was 16 ± 14 years, the duration of diabetes was 11 ± 13 years, and the time following a VLCD was 2.2 ± 3.9 years. Participants had a mean daily carbohydrate intake of 36 ± 15 g. Reported mean HbA1c was 5.67% ± 0.66%. Only 7 (2%) respondents reported diabetes-related hospitalizations in the past year, including 4 (1%) for ketoacidosis and 2 (1%) for hypoglycemia. CONCLUSIONS: Exceptional glycemic control of T1DM with low rates of adverse events was reported by a community of children and adults who consume a VLCD. The generalizability of these findings requires further studies, including high-quality randomized controlled trials.

Resolution of ketoacidosis in children with new onset diabetes: Evaluation of various definitions.

AIMS: Data are sparse concerning use of serum electrolyte parameters as compared to venous blood gas (VBG) measurements to monitor acid-base status during treatment of diabetic ketoacidosis (DKA). We explored the utility of various parameters to define DKA resolution by investigating the relationship of venous pH (vpH), anion gap (AG), serum bicarbonate (HCO3), and glucose concentration during management of DKA in children with new onset diabetes mellitus (NODM). METHODS: We included all patients with NODM presenting with DKA to Boston Children's Hospital from 10/1/07-7/1/13. DKA was defined as serum glucose ≥ 200 mg/dL (11.1 mmol/L) and vpH<7.30; severity as mild <7.30, moderate<7.20, severe<7.10; resolution of DKA as vpH≥7.30 and AG≤18 mmol/L. We used Cox regression to determine time to DKA resolution, and logistic regression to evaluate different serum HCO3 cut-off values as predictors of DKA resolution. RESULTS: 263 patients (133F, mean age 9.9±4.4 years, 74% White) were included. DKA was mild in 134 (51%), moderate in 75 (28%) and severe in 54 (20%). In mild DKA, AG closed after normalization of vpH; in moderate and severe DKA, AG closed before normalization of vpH. HCO3>15mmol/L correlated with vpH≥7.30, and had 76% sensitivity and 85% specificity to predict DKA resolution. Median times to DKA resolution were similar using two different definitions: vpH and AG (8.4h [IQR 6.3-11.9]) vs. HCO3>15 mmol/L (7.9 h [IQR 5.0-11.8]), p=.42. CONCLUSIONS: During management of pediatric DKA, HCO3 > 15 mmol/L reliably predicts resolution of DKA. In low-resource settings where VBG is unavailable, electrolyte parameters alone may be used to determine DKA resolution.

Risk Factors for Fractures in Children Hospitalized in Intensive and Intermediate Care Units.

BACKGROUND AND OBJECTIVES: Fragility fractures are increasingly recognized in hospitalized children. Our study aim was to identify risk factors for fracture in children hospitalized in intensive and intermediate care units. METHODS: We conducted a retrospective, case-control study comparing the clinical characteristics of children with fractures (cases) to children without fractures (controls) matched for age, sex, hospital unit, admission quarter and year, ICU length of stay, severity of illness, and resource utilization. Bivariate comparisons and matched multivariable logistic regression modeling were used to determine associations between potential risk factors and fracture. RESULTS: Median age at fracture for the 35 patients was 5.0 months (interquartile range 2.0 to 10.0 months) and at a comparable interval for the 70 matched controls was 3.5 months (interquartile range 2.0 to 7.0 months). In bivariate analyses, factors associated with fracture included: primary diagnosis of tracheoesophageal fistula, esophageal atresia and stenosis; diagnosis of kidney disease; and per 5-day increase in median cumulative ICU days at risk. In the final model, a respiratory disease diagnosis (odds ratio 3.9, 95% confidence interval 1.1-13.7) and per 5-day increase in median cumulative ICU days at risk (odds ratio 1.3, 95% confidence interval 1.0-1.6) were significant independent risk factors for fracture. CONCLUSIONS: Children prone to fracture in the hospital are young, medically complex patients who require extended periods of intensive level medical care and potentially life-sustaining treatment modalities. The children who would benefit most from fracture reduction efforts are those with respiratory disease and prolonged ICU stays.

Food Insecurity Screening in Pediatric Primary Care: Can Offering Referrals Help Identify Families in Need?

OBJECTIVE: To describe a clinical approach for food insecurity screening incorporating a menu offering food-assistance referrals, and to examine relationships between food insecurity and referral selection. METHODS: Caregivers of 3- to 10-year-old children presenting for well-child care completed a self-administered questionnaire on a laptop computer. Items included the US Household Food Security Survey Module: 6-Item Short Form (food insecurity screen) and a referral menu offering assistance with: 1) finding a food pantry, 2) getting hot meals, 3) applying for Supplemental Nutrition Assistance Program (SNAP), and 4) applying for Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). Referrals were offered independent of food insecurity status or eligibility. We examined associations between food insecurity and referral selection using multiple logistic regression while adjusting for covariates. RESULTS: A total of 340 caregivers participated; 106 (31.2%) reported food insecurity, and 107 (31.5%) selected one or more referrals. Forty-nine caregivers (14.4%) reported food insecurity but selected no referrals; 50 caregivers (14.7%) selected one or more referrals but did not report food insecurity; and 57 caregivers (16.8%) both reported food insecurity and selected one or more referrals. After adjustment, caregivers who selected one or more referrals had greater odds of food insecurity compared to caregivers who selected no referrals (adjusted odds ratio 4.0; 95% confidence interval 2.4-7.0). CONCLUSIONS: In this sample, there was incomplete overlap between food insecurity and referral selection. Offering referrals may be a helpful adjunct to standard screening for eliciting family preferences and identifying unmet social needs.

Expectations for Treatment in Pediatric Weight Management and Relationship to Attrition.

BACKGROUND: Attrition in pediatric weight management negatively impacts treatment outcomes. A potentially modifiable contributor to attrition is unmet family expectations. This study aimed to evaluate the association between adolescent and parent/guardian treatment expectations and attrition. PATIENTS AND METHODS: A prospective, nonrandomized, uncontrolled, single-arm pilot trial was conducted among 12 pediatric weight management programs in the Children's Hospital Association's FOCUS on a Fitter Future collaborative. Parents/guardians and adolescents completed an expectations/goals survey at their initial visit, with categories including healthier food/drinks, physical activity/exercise, family support/behavior, and weight management goals. Attrition was assessed at 3 months. RESULTS: From January to August 2013, 405 parents/guardians were recruited and reported about their children (203 adolescents, 202 children <12 years). Of the 203 adolescents, 160 also self-reported. Attrition rate was 42.2% at 3 months. For adolescents, greater interest in family support/behavior skills was associated with decreased odds of attrition at 3 months [odds ratio (OR) 0.75, 95% confidence interval (CI) 0.57-0.98, p = 0.04]. The more discordant the parent/adolescent dyad responses in this category, the higher the odds of attrition at 3 months (OR 1.36, 95% CI 1.04-1.78, p = 0.02). Weight loss was an important weight management goal for both adolescents and parents. For adolescents with this goal, the median weight-loss goal was 50 pounds. Attrition was associated with adolescent weight-loss goals above the desired median (50% above the median vs. 28% below the median, p = 0.02). CONCLUSIONS: Assessing initial expectations may help tailor treatment to meet families' needs, especially through focus on family-based change and realistic goal setting. CLINICAL TRIAL REGISTRATION: Clinicaltrials.gov NCT01753063.

Massachusetts Pediatricians' Views Toward Body Mass Index Screening in Schools: Continued Controversy.

Objective Evaluate Massachusetts pediatricians' views toward school-based body mass index screening since its implementation. Methods Survey of 286 members of the Massachusetts Chapter of the American Academy of Pediatrics on attitudes toward screening and perceived impact on clinical practice. Results Overall, 36.3% supported screening, with suburban or rural pediatricians significantly less likely (vs urban) to indicate support. Less than 10% of pediatricians agreed or strongly agreed that screening improved communication with schools (4.2%), communication with families (8.9%), or helped them care for patients (7.0%), with suburban or rural pediatricians significantly less likely to agree. Most pediatricians reported contact from patients regarding screening (59.4%) and identifying concerns from patients regarding screening during office visits (60.4%), including bullying and self-esteem. Suburban or rural pediatricians were significantly more likely to report patient contact and concerns related to screening. Conclusions Support for school-based body mass index screening is low among Massachusetts pediatricians, particularly among suburban and rural pediatricians.

Utility of diabetes-associated autoantibodies for classification of new onset diabetes in children and adolescents.

OBJECTIVE: To determine whether measuring diabetes-associated autoantibodies (DAA) in pediatric new onset diabetes (NODM) can be restricted to patients with equivocal diabetes type. RESEARCH DESIGN AND METHODS: Retrospective analysis of all patients with NODM admitted to Boston Children's Hospital from 1 October 2007 to 1 July 2013 who had measurement of DAA [glutamic acid decarboxylase, insulin, insulinoma-associated antigen 2 (IA-2)]. Data collection included initial diagnosis of diabetes type before DAA results and at follow-up. We used logistic regression to predict type 1 diabetes (T1D) and developed a clinical score to classify diabetes type. RESULTS: Of 1089 patients (45.4% female, 76.7% White, age 10.6 ± 4.5 yr), initial diagnosis was 1021 (93.8%) T1D, 42 (3.9%) type 2 diabetes (T2D), and 26 (2.4%) other. Of 993 patients with clinical T1D, 78 (7.9%) were DAA-, and of 42 patients with clinical T2D, 12 (28.6%) were DAA+. Type of diabetes was reclassified at follow-up in less than 6% of patients. Data from a subset of 736 patients were used to develop a scoring system to predict T1D. Using weight z-score, age, and race, the scoring system had 91.7% sensitivity, 82% specificity, and a positive predictive value of 98.6%, and suggested DAA measurement was unnecessary in 85.3% of patients. Findings were similar in a validation cohort of 234 patients. CONCLUSIONS: Application of a simple scoring system may reduce to ∼15% the number of DAA measurements needed to classify diabetes type, resulting in substantial cost savings. Clinical judgment should guide the decision to measure DAA.

Use of Serum Bicarbonate to Substitute for Venous pH in New-Onset Diabetes.

OBJECTIVE: To investigate whether serum bicarbonate (HCO3) levels can be used to accurately diagnose diabetic ketoacidosis (DKA) and classify its severity in children with new-onset diabetes mellitus (NODM). METHODS: Retrospective study of all patients with NODM presenting to Boston Children's Hospital from October 1, 2007, to July 1, 2013. DKA was defined as blood glucose ≥200 mg/dL, venous pH (vpH) <7.3, and urine ketones ≥2+, and severe DKA as vpH <7.1. Linear regression was used to assess serum HCO3 as a predictor of vpH, and logistic regression to evaluate serum HCO3 as a predictor of DKA and severe DKA. RESULTS: Of 690 study cohort subjects (47% girls, age 10.8 ± 4.3 years, 76.7% white), 19.4% presented with DKA. The relationship between serum HCO3 and vpH was log-linear (r = 0.87, 95% CI 0.85-0.89, P < .001). HCO3 predicted vpH (R(2) 0.75, P < .001) using the formula vpH = 6.81301 + (0.17823*ln[HCO3]) and DKA and severe DKA (c-statistic 0.97 [95% CI 0.96-0.99, P < .001] and 0.99 [95% CI 0.991-0.999, P < .001], respectively). HCO3 cutoffs of <18 and <8 mmol/L had sensitivities of 91.8% and 95.2%, and specificities of 91.7% and 96.7%, respectively, to diagnose DKA and severe DKA. Findings were similar in a validation cohort of 197 subjects. CONCLUSIONS: Serum HCO3 concentration alone can substitute for vpH to diagnose DKA and classify severity in children with NODM. It is suggested as an alternative to reliance on vpH, especially in settings in which access to vpH measurement is limited.

Commentary: Launch of a quality improvement network for evidence-based management of uncommon pediatric endocrine disorders: Turner syndrome as a prototype.

BACKGROUND: Traditional, hypothesis-oriented research approaches have thus far failed to generate sufficient evidence to achieve consensus about the management of children with many endocrine disorders, partly because of the rarity of these disorders and because of regulatory burdens unique to research in children. OBJECTIVE: The Pediatric Endocrine Society is launching a quality improvement network in spring 2015 for the management of pediatric endocrine disorders that are relatively uncommon in any single practice and/or for which there is no consensus on management. DESIGN: The first of the quality improvement programs to be implemented seeks to improve the care of 11- to 17-year-old girls with Turner syndrome who require initiation of estrogen replacement therapy by providing a standardized clinical assessment and management plan (SCAMP) for transdermal estradiol treatment to induce pubertal development. The SCAMP algorithm represents a starting point within current best practice that is meant to undergo refinement through an iterative process of analysis of deidentified data collected in the course of clinical care by a network of pediatric endocrinologists. CONCLUSION: It is anticipated that this program will not only improve care, but will also result in actionable data that will generate new research hypotheses and changes in management of pediatric endocrine disorders.