The Canadian Hypoglycemia During Hospitalization Score Is Externally Valid in the Australian Diabetes IN-hospital: Glucose & Outcomes (DINGO) Cohort.

OBJECTIVES: The Hypoglycemia During Hospitalization (HyDHo) score predicts hypoglycemia in a population of Canadian inpatients by assigning various weightings to 5 key clinical criteria known at the time of admission, in particular age, recent presentation to an emergency department, insulin use, use of oral hypoglycemic agents, and chronic kidney disease. Our aim in this study was to externally validate the HyDHo score by applying this risk calculator to an Australian population of inpatients with diabetes. METHODS: This study was a retrospective data analysis of a subset of the Diabetes IN-hospital: Glucose & Outcomes (DINGO) cohort. The HyDHo score was applied based on clinical information known at the time of admission to stratify risk of inpatient hypoglycemia. RESULTS: The HyDHo score was applied to 1,015 patients, generating a receiver-operating characteristic c-statistic of 0.607. A threshold of ≥9, as per the original study, generated a sensitivity of 83% and specificity of 20%. A threshold of ≥10, to better suit this Australian population, generated a sensitivity of 90% and specificity of 34%. The HyDHo score has been externally valid in a geographically different population; in fact, it outperformed the original study after accounting for local hypoglycemia rates. CONCLUSIONS: Our findings support the external validity of the HyDHo score in a geographically different population. Application of this simple and accessible tool can serve as an adjunct to predict an inpatient's risk of hypoglycemia and guide more appropriate glucose monitoring and diabetes management.

Service use and glycaemic control of young people with type 1 diabetes transitioning from paediatric to adult care: a 5-year study.

BACKGROUND: Regular contact with specialist care has been linked to better diabetes outcomes for young people with type 1 diabetes (YPwT1D), but evidence is limited to population-based service usage and outcomes. AIMS: This observational 5-year study sought to capture YPwT1D living in the study catchment area (covering metropolitan, regional and rural Australia) as they transitioned to adult-based diabetes healthcare services and to describe their glycaemic control and complication rates, service usage and associated factors. METHODS: Records between 2010 and 2014 in a public healthcare specialist diabetes database were extracted, care processes and outcomes were described, and associations were sought between episodes of care (EOC) and potentially predictive variables. RESULTS: Annual cohort numbers increased yearly, but without significant differences in demographic characteristics. Each year around 40% had no reported planned specialist care, and the average number of planned EOC decreased significantly year on year. Overall, mean HbA1c levels also reduced significantly, but with higher values recorded for those living in non-metropolitan than metropolitan areas (achieving significance in 3 out of 5 years). Diabetes complication assessments were only reported in 37-46%, indicating one in five with retinopathy and hypertension affecting one in three to five young people. CONCLUSIONS: Findings highlight the importance of investment to address the specific needs of adolescents and young adults and demonstrate the need for better support during these vulnerable early years, particularly for non-metropolitan residents. This will entail changes to funding mechanisms, the health workforce and infrastructure, and new models of care to provide equity of access and quality of specialist care.

Coexisiting type 1 diabetes and celiac disease is associated with lower Hba1c when compared to type 1 diabetes alone: data from the Australasian Diabetes Data Network (ADDN) registry.

AIM: To compare HbA1c and clinical outcomes in adolescents and young adults with type 1 diabetes (T1D), with or without celiac disease (CD). METHODS: Longitudinal data were extracted from ADDN, a prospective clinical diabetes registry. Inclusion criteria were T1D (with or without CD), ≥ 1 HbA1c measurement, age 16-25 years and diabetes duration ≥ 1 year at last measurement. Multivariable Generalised Estimated Equation models were used for longitudinal analysis of variables associated with HbA1c. RESULTS: Across all measurements, those with coexisting T1D and CD had lower HbA1c when compared to those with T1D alone (8.5 ± 1.5% (69.4 ± 16.8 mmol/mol) vs. 8.7 ± 1.8% (71.4 ± 19.8 mmol/mol); p < 0.001); lower HbA1c was associated with shorter diabetes duration (B = - 0.06; 95% CI - 0.07 to - 0.05; p < 0.001), male sex (B = - 0.24; - 0.36 to - 0.11; p < 0.001), insulin pump therapy use (B = - 0.46; - 0.58 to - 0.34; p < 0.001), coexistence of T1D and CD (B = - 0.28; - 0.48 to - 0.07; p = 0.01), blood pressure (B = - 0.16; - 0.23 to - 0.09; p < 0.001) and body mass index (B = -- 0.03; - 0.02 to - 0.04; p = 0.01) in the normal range. At last measurement, 11.7% of the total population had a HbA1c < 7.0% (53.0 mmol/mol). CONCLUSIONS: Across all measurements, coexisting T1D and CD is associated with lower HbA1c when compared to T1D alone. However, HbA1c is above target in both groups.

Blood pressure in adolescents and young adults with type 1 diabetes: data from the Australasian Diabetes Data Network registry.

AIM: Hypertension increases complication risk in type 1 diabetes (T1D). We examined blood pressure (BP) in adolescents and young adults with T1D from the Australasian Diabetes Data Network, a prospective clinical diabetes registry in Australia and New Zealand. METHODS: This was a longitudinal study of prospectively collected registry data. INCLUSION CRITERIA: T1D (duration ≥ 1 year) and age 16-25 years at last visit (2011-2020). Hypertension was defined as (on ≥ 3 occasions) systolic BP and/or diastolic BP > 95th percentile for age < 18 years, and systolic BP > 130 and/or diastolic BP > 80 mmHg for age ≥ 18 years. Multivariable Generalised Estimating Equations were used to examine demographic and clinical factors associated with BP in the hypertensive range across all visits. RESULTS: Data from 6338 young people (male 52.6%) attending 24 participating centres across 36,655 T1D healthcare visits were included; 2812 (44.4%) had BP recorded at last visit. Across all visits, 19.4% of youth aged < 18 years and 21.7% of those aged ≥ 18 years met criteria for hypertension. In both age groups, BP in the hypertensive range was associated with male sex, injection (vs. pump) therapy, higher HbA1c, and higher body mass index. CONCLUSIONS: There is a high proportion of adolescents and young adults reported with BP persistently in hypertensive ranges. Findings flag the additive contribution of hypertension to the well-established body of evidence indicating a need to review healthcare models for adolescents and young adults with T1D.

Hospital presentations with diabetic ketoacidosis: A retrospective review.

BACKGROUND: Diabetic ketoacidosis (DKA) is a significant source of preventable episodes of care and cost. This study aimed to describe the demographic and clinical characteristics of people with type 1 diabetes (T1D) presenting to the Emergency Department (ED) with DKA in an area of socio-economic deprivation in metropolitan Queensland, Australia, and to describe factors associated with hospital admission and re-presentation in this population. METHODS: This was a retrospective descriptive analysis of routine healthcare record data for January 2015-December 2019. People with T1D were identified through hospital discharge codes. RESULTS: More than half (n = 165) the estimated local T1D population (n = 317) experienced an index ED presentation for DKA; mean±SD age at ED presentation was 31.1 + /- 19.3 years, 126 (76.4%) were aged ≥ 16 years and 20 (12.1%) were newly diagnosed. Index DKA presentation was significantly associated with female sex (p = 0.04) but no other demographic or geographic variables. More than half the presentations (n = 92, 55.8%) occurred outside regular business hours. Twenty-three representations occurred within 90 days, associated with older age (p = 0.045) and lower residential socio-economic score (p = 0.02). CONCLUSION: Findings highlight the frequent problem of DKA and the importance of socio-economic influences. This flags the need and opportunity to improve support to people with T1D to promote diabetes self-care.

Comparing IADPSG and NICE Diagnostic Criteria for GDM in Predicting Adverse Pregnancy Outcomes.

OBJECTIVE: To compare the performance of diagnostic criteria for gestational diabetes mellitus (GDM) proposed by the International Association of the Diabetes and Pregnancy Study Groups (IADPSG) with those endorsed by the National Institute for Health and Care Excellence (NICE) in predicting adverse pregnancy outcomes. RESEARCH DESIGN AND METHODS: We performed a secondary data analysis of the Hyperglycemia and Adverse Pregnancy Outcomes (HAPO) study participants in five study centers. Logistic regression analyses were performed, and Akaike information criterion were applied for the comparison of different statistical prediction models. We further analyzed the performance by four racial/ethnic subgroups, namely, Whites, Hispanics, Asians, and Blacks. RESULTS: Among all, IADPSG criteria diagnosed 267 (4.1%) more women with GDM, but predicted primary caesarean section (CS) and large for gestational age (LGA) and neonatal adiposity better than did NICE criteria after adjustment for potential confounders. Among Whites, IADPSG criteria diagnosed 65 (2.5%) more subjects with GDM and predicted LGA and neonatal adiposity better, but predicted hypertensive disorders, primary CS and clinical neonatal hypoglycemia worse. Among Hispanics, the IADPSG criteria diagnosed 203 (12.1%) more with GDM but performed better in predicting hypertensive disorders, LGA, neonatal adiposity, and hyperinsulinemia. Among Asians, the IADPSG criteria diagnosed 34 (2.0%) fewer subjects with GDM but predicted hypertensive disorders better in the unadjusted model. In Blacks, IADPSG criteria diagnosed 34 (10.5%) more women with GDM. CONCLUSIONS: IADPSG criteria appear to be more favorable than NICE for identification of adverse pregnancy outcomes among Hispanic and Asian women, while they are comparable to NICE among White women.

Suboptimal glycemic control in adolescents and young adults with type 1 diabetes from 2011 to 2020 across Australia and New Zealand: Data from the Australasian Diabetes Data Network registry.

BACKGROUND: Competing challenges in adolescence and young adulthood can distract from optimal type 1 diabetes (T1D) self-management, and increase risks of premature morbidity and mortality. There are limited data mapping the glycemic control of people with T1D in this age group, across Australasia. RESEARCH DESIGN AND METHODS: Clinical data were extracted from the Australasian Diabetes Data Network, a prospective clinical diabetes registry. Inclusion criteria were individuals with T1D aged 16-25 years at their last recorded T1D healthcare visit (from 1st January 2011 to 31st December 2020), with T1D duration of at least 1 year. Data were stratified by two last recorded T1D healthcare visit ranges, while generalized estimated equation (GEE) modeling was used to examine factors associated with HbA1c across visits during the 10 year period. RESULTS: Data from 6329 young people (52.6% male) attending 24 diabetes centers across Australasia were included. At the last visit within the most recent 5 years, mean ± SD age was 18.5 ± 2.3 years, T1D duration was 8.8 ± 4.7 years and HbA1c was 8.8 ± 1.8% (72.2 ± 19.9 mmol/mol); only 12.3% had an HbA1c below the international target of <7.0% (53 mmol/mol). Across all T1D healthcare visits, in GEE modeling, higher HbA1c was associated with female sex (B = 0.20; 95% CI 0.12 to 0.29, p < 0.001), longer T1D duration (B = 0.04, 0.03 to 0.05, p < 0.001). Lower HbA1c was associated with attendance at a pediatric T1D healthcare setting (B = -0.33, -0.45 to -0.21, p < 0.001) and use of CSII versus BD/MDI therapy (B = -0.49, -0.59 to 0.40, p < 0.001). CONCLUSIONS: This Australasian study demonstrates widespread and persistent sub-optimal glycemic control in young people with T1D, highlighting the urgent need to better understand how healthcare services can support improved glycemic control in this population.

Web-Based Questionnaire for Healthcare Professionals on Psychosocial Support for Adolescents and Young Adults with Type 1 Diabetes.

INTRODUCTION: Adolescence and young adulthood is a challenging period, particularly for those living with chronic disease such as type 1 diabetes (T1D). Effective professional support is associated with better diabetes outcomes, but little is known about what determines healthcare professionals' decision-making for therapeutic intervention, and how to support this. Our study aimed to determine healthcare professionals' (HCPs) self-rated awareness, capability, opportunity and motivation to provide support for psychosocial issues in the management of T1D with adolescents and young adults; and to identify factors independently predictive of HCPs' perceptions of their confidence in, and perceived importance of, addressing psychosocial issues in this population. METHODS: Survey design was used, and data collected using an anonymous web-based questionnaire based on the Capability-Opportunity-Motivation Behaviour (COM-B) framework. The study was advertised to members of the Australian Diabetes Society, and National Association of Diabetes Centres. RESULTS: Of 98 respondents, 57 (58.2%) were female. Confidence and perceived importance summary scores were not significantly associated with demographic characteristics. HCPs agreed that both diabetes-dependent and external non-diabetes-specific influences were important components of psychosocial management, but self-rated themselves as less confident in their ability to provide care for these aspects. Few respondents regularly encountered psychosocial issues that they believed would lead to improved outcomes if addressed and not all HCPs knew how to access psychosocial support for their adolescent patients. CONCLUSION: Our findings indicate discrepancies between HCPs' self-rated capability and perceived motivation to provide support relating to psychosocial issues in the management of T1D for adolescents and young adults. Equitable opportunities are needed for training and support, to increase HCPs' understanding and hence their perceptions of the importance and of their confidence in addressing psychosocial issues, especially considering the high levels of risk of these young people for such problems.

Prediction of large-for-gestational age infants in relation to hyperglycemia in pregnancy - A comparison of statistical models.

AIMS: Using data from a large multi-centre cohort, we aimed to create a risk prediction model for large-for-gestational age (LGA) infants, using both logistic regression and naïve Bayes approaches, and compare the utility of these two approaches. METHODS: We have compared the two techniques underpinning machine learning: logistic regression (LR) and naïve Bayes (NB) in terms of their ability to predict large-for-gestational age (LGA) infants. Using data from five centres involved in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study, we developed LR and NB models and compared the predictive ability and stability between the models. Models were developed combining the risks of hyperglycaemia (assessed in three forms: IADPSG GDM yes/no, GDM subtype, OGTT z-score quintiles), demographic and clinical variables as potential predictors. RESULTS: The two approaches resulted in similar estimates of LGA risk (intraclass correlation coefficient 0.955, 95% CI 0.952, 0.958) however the AUROC for the LR model was significantly higher (0.698 vs 0.682; p < 0.001). When comparing the three LR models, use of individual OGTT z-score quintiles resulted in statistically higher AUROCs than the other two models. CONCLUSIONS: Logistic regression can be used with confidence to assess the relationship between clinical and biochemical variables and outcome.

Diabetic ketoacidosis presentations in a low socio-economic area: are services suitable?

BACKGROUND: Diabetic ketoacidosis causes a significant number of hospitalisations worldwide, with rates tending to increase with remoteness and socioeconomic disadvantage. Our study aimed to explore healthcare professionals' perceptions of factors affecting presentation of people with type 1 diabetes in a low socioeconomic area of Queensland, Australia. METHODS: This was a qualitative study. Individual semi-structured face-to-face or telephone interviews were completed with patients with type 1 diabetes who had presented in diabetic ketoacidosis, and healthcare professionals who have experience in related care. Data were analysed using Gibbs's framework of thematic analysis. RESULTS: Four patients with type 1 diabetes and 18 healthcare professionals were interviewed. Restricted access was identified as a factor contributing to diabetic ketoacidosis and delayed presentation, with ketone testing supplies, continuous glucose monitoring technology and transport considered barriers. Many of these factors were arguably preventable. Opportunities to improve the care available to patients with type 1 diabetes were detailed, with particularly strong support for dedicated out of hours telephone help lines for adults with type 1 diabetes. CONCLUSIONS: Gaps in support for patient self-care to avoid diabetic ketoacidosis presentations and prevent late presentation of diabetic ketoacidosis revealed by this study require service reconfiguration to support care delivery. Until change is made, people with type 1 diabetes will continue to make both avoidable and delayed, acutely unwell, presentations to Emergency Departments.

Do variations in insulin sensitivity and insulin secretion in pregnancy predict differences in obstetric and neonatal outcomes?

AIMS/HYPOTHESIS: Gestational diabetes mellitus (GDM) is generally defined based on glycaemia during an OGTT, but aetiologically includes women with defects in insulin secretion, insulin sensitivity or a combination of both. In this observational study, we aimed to determine if underlying pathophysiological defects evaluated as continuous variables predict the risk of important obstetric and neonatal outcomes better than the previously used dichotomised or categorical approaches. METHODS: Using data from blinded OGTTs at mean gestational week 28 from five Hyperglycemia and Adverse Pregnancy Outcome study centres, we estimated insulin secretion (Stumvoll first phase) and sensitivity (Matsuda index) and their product (oral disposition index [DI]) in 6337 untreated women (1090 [17.2%] with GDM as defined by the International Association of Diabetes and Pregnancy Study Groups). Rather than dichotomising these variables (i.e. GDM yes/no) or subtyping by insulin impairment, we related insulin secretion and sensitivity as continuous variables, along with other maternal characteristics, to obstetric and neonatal outcomes using multiple regression and receiver operating characteristic curve analysis. RESULTS: Stratifying by GDM subtype offered superior prediction to GDM yes/no only for neonatal hyperinsulinaemia and pregnancy-related hypertension. Including the DI and the Matsuda score significantly increased the area under the receiver operating characteristic curve (AUROC) and improved prediction for multiple outcomes (large for gestational age [AUROC 0.632], neonatal adiposity [AUROC 0.630], pregnancy-related hypertension [AUROC 0.669] and neonatal hyperinsulinaemia [AUROC 0.688]). Neonatal hypoglycaemia was poorly predicted by all models. Combining the DI and the Matsuda score with maternal characteristics substantially improved the predictive power of the model for large for gestational age, neonatal adiposity and pregnancy-related hypertension. CONCLUSION/INTERPRETATION: Continuous measurement of insulin secretion and insulin sensitivity combined with basic clinical variables appeared to be superior to GDM (yes/no) or subtyping by insulin secretion and/or sensitivity impairment in predicting obstetric and neonatal outcomes in a multi-ethnic cohort. Graphical abstract.

Role of maternal glucose metabolism in the association between maternal BMI and neonatal size and adiposity.

BACKGROUND/OBJECTIVE: One potential mechanism by which maternal obesity impacts fetal growth is through hyperglycemia below the threshold for gestational diabetes. Data regarding which measures of maternal glucose metabolism mediate this association is sparse. The objectives of this study were to (i) quantify the associations of maternal pre-pregnancy body mass index (BMI) with neonatal size and adiposity and (ii) examine the role of markers of maternal glucose metabolism as mediators in these associations. SUBJECTS/METHODS: This is a secondary analysis of 6,379 mother-infant dyads from the Hyperglycemia and Adverse Pregnancy Outcome cohort. Markers of glucose metabolism, including plasma glucose and c-peptide values, Stumvoll first-phase estimate, modified Matsuda index, and oral disposition index were measured and calculated from an oral glucose tolerance test (OGTT) between 24- and 32-weeks' gestation. We calculated the direct effect of maternal BMI category, measured at the time of the OGTT and regressed to estimate pre-pregnancy BMI, on neonatal (1) birth weight (BW), (2) fat mass (FM), (3) % body fat (BF%), and (4) sum of skinfold thickness (sSFT). We then calculated the indirect effect of BMI category on these measures through markers of glucose metabolism. RESULTS: Maternal BMI category was positively associated with neonatal BW, FM, BF%, and sSFT. Additionally, mothers who were overweight or obese had higher odds of delivering an infant with BW, FM, BF%, or sSFT >90th percentile. Fasting glucose and c-peptide values were the strongest mediators in the linear associations between maternal BMI category and neonatal size and adiposity. CONCLUSIONS: Maternal overweight and obesity were associated with higher odds of neonatal BW and adiposity >90th percentile. Fasting measures of glucose metabolism were the strongest mediators of these associations, suggesting that future studies should investigate whether incorporation of these markers in pregnant women with obesity may improve prediction of neonatal size and adiposity.

A discussion of healthcare support for adolescents and young adults with long-term conditions: Current policy and practice and future opportunities.

BACKGROUND: Adolescence and young adulthood can be a period of significant and unique life changes in which competing demands and challenges distract from disease self-management. Specific challenges related to the way individual services are configured can also limit the support available. This paper presents a discussion of healthcare service support for adolescents and young adults, using type 1 diabetes as an exemplar. DESIGN: Discussion paper. RESULTS: A wide variety of issues at the biopsychosocial level of the individual, health services policy and practice pose challenges to effective health support for adolescents and young adults. Intersectoral, multilevel and multicomponent opportunities are available to engage and empower young people to be part of change and accountability mechanisms and to transform the support available and outcomes achievable. A priority research agenda can benefit patients, families and their communities. CONCLUSION: Future policy and practice development may assist clinicians, service providers and managers, policymakers, non-governmental organizations and community groups to deliver more effective and efficient support to vulnerable adolescent and young adult populations.

Testing for gestational diabetes during the COVID-19 pandemic. An evaluation of proposed protocols for the United Kingdom, Canada and Australia.

AIMS: We assessed how altered diagnostic processes and criteria for gestational diabetes mellitus (GDM) recommended by the United Kingdom (UK), Canada and Australia for use during the COVID-19 pandemic would affect both GDM frequency and related adverse outcomes. METHODS: Secondary analysis of 5974 HAPO study women with singleton pregnancies who underwent 75 g OGTTs and HbA1c assays between 24 and 32 weeks' gestation and who received no treatment for GDM. RESULTS: All post COVID-19 modified pathways reduced GDM frequency - UK (81%), Canada (82%) and Australia (25%). Canadian women whose GDM would remain undetected post COVID-19 (missed GDMs) displayed similar rates of pregnancy complications to those with post COVID-19 GDM. Using UK modifications, the missed GDM group were at slightly lower risk whilst the women missed using the Australian modifications were at substantially lower risk. CONCLUSIONS: The modifications in GDM diagnosis proposed for the UK, Canada and Australia result in differing reductions of GDM frequency. Each has both potential benefits in terms of reduction in potential exposure to COVID-19 and costs in terms of missed opportunities to influence pregnancy and postpartum outcomes. These factors should be considered when deciding which protocol is most appropriate for a particular context.

Interaction between sex and rurality on the prevalence of diabetes in Guyana: a nationally representative study.

INTRODUCTION: Diabetes prevalence has never been measured in Guyana. We conducted a nationally representative cross-sectional study to estimate the prevalence of diabetes and pre-diabetes, and the association between sex and diabetes. RESEARCH DESIGN AND METHODS: In 2016, the Ministry of Public Health led Guyana's first national STEPS survey among adults aged 18-69 years. Half of the participants were randomly selected for hemoglobin A1c and fasting blood glucose testing. We estimated the prevalence of diabetes and pre-diabetes and measured the association between sex and diabetes prevalence using logistic regression to compute adjusted ORs. RESULTS: We included 805 adults (511 women, 294 men, mean age 41.8 (SD 14.4) years). The national prevalence of diabetes was 18.1% (95% CI: 15.4% to 20.8%), with higher rates among women (21.4%, 95% CI: 18.0% to 24.7%) than men (15.1%, 95% CI: 10.9% to 19.3%). Sex-specific diabetes prevalence varied significantly across urban and rural areas (p=0.002 for interaction). In rural areas, diabetes was twice as common among women (24.1%, 95% CI: 20.1% to 28.2%) compared with men (11.8%, 95% CI: 7.7% to 15.9%). After adjusting for prespecified covariates, rural women had double the odds of diabetes compared with rural men (OR 2.1, 95% CI: 1.20 to 3.82). This prevalence pattern was reversed in urban areas (diabetes prevalence, women: 13.9%, 95% CI: 8.7% to 19.0%; men: 22.0%, 95% CI: 12.9% to 31.1%), with urban women having half the odds of diabetes compared with urban men (OR 0.4, 95% CI: 0.20 to 0.99). We estimated that nearly one-third of women and over a quarter of men had diabetes or pre-diabetes. CONCLUSIONS: The burden of diabetes in Guyana is considerably higher than previously estimated, with an unexpectedly high prevalence among women-particularly in rural areas.

Service use of young people with Type 1 diabetes after transition from paediatric to adult-based diabetes health care.

Objective The aim of this study was to determine, in the first 2 years after the last planned appointment with paediatric diabetes services for young people with Type 1 diabetes (T1D): (1) the number of planned and unplanned healthcare contacts and HbA1c measurements made; (2) factors linked to diabetes-related service use; and (3) factors predictive of the number of planned and unplanned service contacts, and of meeting the minimum number of planned service contacts. Methods Healthcare records of a major public healthcare provider in Australia were audited for preventive and acute service use by young people with T1D transferring from paediatric to adult public healthcare services. Statistical analyses included use of t-tests and logistic regression modelling. Results Of 172 young people with T1D, 21% had no planned specialist care and 49% accessed acute services for diabetes-related matters. Residents of metropolitan areas and users of continuous subcutaneous insulin infusion therapy were more likely to access specialist care and were less likely to use acute services for unplanned care. Those achieving a minimum of nine planned care contacts in 2 years had a shorter duration between the last paediatric and first adult healthcare contact. Conclusions Lack of specialist care in early adult years and non-metropolitan relative disadvantage compromise the present and future health of young people with diabetes. What is known about the topic? Well-managed transition is thought to offer the best chance of achieving cost-effective continuing engagement with specialist services for planned preventive care, effective T1D self-management and deferral or early attention to diabetes-related vascular complications. However, transition is commonly reported as problematic. What does this paper add? The findings of this study indicate a positive trend but continuing need to improve transition care for young people with T1D, especially those living in non-metropolitan areas and those not using continuous subcutaneous insulin infusion therapy. What are the implications for practitioners? Without service innovation, suboptimal and delayed access to planned care, high use of acute services for unplanned care and poor glycaemic control will continue to threaten the future health and well-being of young people with T1D.

Development and Validation of a New Diabetes Risk Score in Guyana.

INTRODUCTION: We present a new diabetes risk score developed and validated in a multi-ethnic population in Guyana, South America. Measurement of in-country diabetes prevalence is a vital epidemiologic tool to combat the pandemic. It is believed that for every person diagnosed with type 2 diabetes there is another undiagnosed. The International Diabetes Federation (IDF) recommends a two-step detection programme using a risk score questionnaire to identify high-risk individuals followed by glycaemic measure. METHODS: Data on 798 persons from the 2016 STEPwise Approach to Chronic Disease Risk Factor Surveillance (STEPS) were used to correlate responses to 36 questions with glycated haemoglobin (HbA1C) and fasting plasma glucose (FPG) results. Bootstrapping was used to internally validate the derived seven-variable model. This model with the addition of family history questions was tested in a convenience sample of 659 Guyanese adults and externally validated in a cohort of another 528. RESULTS: An 8-item Guyana Diabetes Risk Score (GDRS) was derived. The final model performed with an area under the curve (AUC) of 0.812 CONCLUSIONS: The validated eight-item Guyana Diabetes Risk Score will be extremely useful in identifying individuals at high risk of having diabetes in Caribbean, Black or East Indian populations.