Diabetic ketoacidosis at the onset of type 1 diabetes is associated with future HbA1c levels

Diabetic Ketoacidosis at Onset of Type 1 Diabetes and Glycemic Outcomes with Closed-Loop Insulin Delivery

The presence of diabetic ketoacidosis (DKA) at diagnosis of type 1 diabetes (T1D) is associated with higher glycated hemoglobin levels over time. We evaluated whether hybrid-closed loop (HCL) therapy from onset of T1D could prevent the adverse impact of DKA at diagnosis on long-term glycemic outcomes. This was a posthoc analysis from 51 adolescents using HCL from diagnosis of T1D as part of the CLOuD trial (NCT02871089). We compared glycemic and insulin metrics between adolescents with (n = 17) and without (n = 34) DKA at diagnosis. Participants with and without DKA at diagnosis had similar time in target glucose range 3.9-10.0 mmol/L (70-180 mg/dL), time below range (<3.9 mmol/L, <70 mg/dL) and HbA1c at 6, 12, and 24 months. While insulin requirements at 6 months were higher in those with DKA at diagnosis, this was not statistically significant after adjusting for bodyweight. Residual C-peptide secretion was similar between groups. We conclude that HCL therapy may mitigate against the negative glycemic effects of DKA at T1D diagnosis.

Predicting the Risk of Developing Type 1 Diabetes Using a One-Week Continuous Glucose Monitoring Home Test With Classification Enhanced by Machine Learning: An Exploratory Study

BACKGROUND

Detection of two or more autoantibodies (Ab) in the blood might describe those individuals at increased risk of developing type 1 diabetes (T1D) during the following years. The aim of this exploratory study is to propose a high versus low T1D risk classifier using machine learning technology based on continuous glucose monitoring (CGM) home data.

METHODS

Forty-two healthy relatives of people with T1D with mean ± SD age of 23.8 ± 10.5 years, HbA1c (glycated hemoglobin) of 5.3% ± 0.3%, and BMI (body mass index) of 23.2 ± 5.2 kg/m2 with zero (low risk; N = 21), and ≥2 (high risk; N = 21) Ab, were enrolled in an NIH (National Institutes of Health)-funded TrialNet ancillary study. Participants wore a CGM for a week and consumed three standardized liquid mixed meals (SLMM) instead of three breakfasts. Glycemic features were extracted from two-hour post-SLMM CGM traces, compared across groups, and used in four supervised machine learning Ab risk status classifiers. Recursive Feature Elimination (RFE) algorithm was used for feature selection; classifiers were evaluated through 10-fold cross-validation, using the receiver operating characteristic area under the curve (AUC-ROC) to select the best classification model.

RESULTS

The percent time of glucose >180 mg/dL (T180), glucose range, and glucose CV (coefficient of variation) were the only significant differences between the glycemic features in the two groups with P values of .040, .035, and .028 respectively. The linear SVM (Support Vector Machine) model with RFE features achieved the best performance of classifying low-risk versus high-risk individuals with AUC-ROC = 0.88.

CONCLUSIONS

A machine learning technology, combining a potentially self-administered one-week CGM home test, has the potential to reliably assess the T1D risk.

The clinical value of glycosylated hemoglobin level in newly diagnosed ketosis-prone type 2 diabetes

Objective

To evaluate the clinical value of glycosylated hemoglobin (HbA1c) in newly diagnosed ketosis-prone type 2 diabetes (KPD).

Methods

A total of 330 patients with newly diagnosed type 2 diabetes (T2DM) hospitalized in our department with an average age of 48.72 ± 13.07 years old were selected and divided into T2DM group (193 cases) and KPD group (137 cases) according to whether they were combined with ketosis. According to the quartile level of HbA1c, they were divided into group A (HbA1c < 8.90%, 84 cases), group B (8.90%≤HbA1c < 10.70%, 86 cases), group C (10.70%≤HbA1c ≤ 12.40%, 85 cases) and group D (HbA1c > 12.40%, 75 cases). The general clinical features, laboratory indicators and islet function of each group were compared. Spearman correlation analysis was used to explore the correlation between HbA1c and β- Hydroxybutyric acid (β- HB) and islet function. ROC curve was used to analyze the sensitivity and specificity of HbA1c in diagnosing KPD, and the optimal tangent point was obtained.

Results

HbA1c, β-HB, FFA, RBG, insulin dosage, GSP, OGTT (0, 0.5, 1, 2, 3h) in KPD group were significantly higher than those in T2DM group (P< 0.001). HDL-C, IRT (0, 0.5, 1, 2, 3h), HOMA-β, HOMA-IR, HOMA-IS, ΔC30/ΔG30, AUC insulin were significantly lower than those in T2DM group (P< 0.001). With the increase of HbA1c level, the incidence of ketosis, β-HB, FFA and insulin dosage increased, while IRT (0, 0.5, 1, 2, 3h), ΔC30/ΔG30, AUC insulin, HOMA-β and HOMA-IS decreased accordingly (P< 0.001). In all newly diagnosed T2DM patients, Spearman correlation analysis showed that HbA1c was positively correlated with β-HB (r=0.539, P < 0.001), and was negatively correlated with HOMA-β (r=-0.564, P < 0.001), HOMA-IS (r=-0.517, P < 0.01, P < 0.001), HOMA-IR (r=-0.177, P < 0.001), ΔC30/ΔG30 (r=-0.427, P < 0.01) and AUC insulin (r=-0.581, P < 0.001). In ROC curve analysis, the optimal threshold for the diagnosis of KPD was 10.15%, Youden index was 0.616, area under the curve (AUC) was 0.882, sensitivity = 92.70%, specificity = 70.50%.

Conclusion

In newly diagnosed T2DM patients, if HbA1c > 10.15%, it is more likely to develop KPD. Monitoring HbA1c level is conducive to timely detection of high-risk individuals with KPD and taking appropriate measures to prevent the occurrence and development of the disease.

Understanding Providers' Readiness and Attitudes Toward Autoantibody Screening: A Mixed-Methods Study

Screening for autoantibodies associated with type 1 diabetes can identify people most at risk for progressing to clinical type 1 diabetes and provide an opportunity for early intervention. Drawbacks and barriers to screening exist, and concerns arise, as methods for disease prevention are limited and no cure exists today. The availability of novel treatment options such as teplizumab to delay progression to clinical type 1 diabetes in high-risk individuals has led to the reassessment of screening programs. This study explored awareness, readiness, and attitudes of endocrinology providers toward type 1 diabetes autoantibody screening.

Predicting Immunological Risk for Stage 1 and Stage 2 Diabetes Using a 1-Week CGM Home Test, Nocturnal Glucose Increments, and Standardized Liquid Mixed Meal Breakfasts, with Classification Enhanced by Machine Learning

Background: Predicting the risk for type 1 diabetes (T1D) is a significant challenge. We use a 1-week continuous glucose monitoring (CGM) home test to characterize differences in glycemia in at-risk healthy individuals based on autoantibody presence and develop a machine-learning technology for CGM-based islet autoantibody classification. Methods: Sixty healthy relatives of people with T1D with mean ± standard deviation age of 23.7 ± 10.7 years, HbA1c of 5.3% ± 0.3%, and body mass index of 23.8 ± 5.6 kg/m2 with zero (n = 21), one (n = 18), and ≥2 (n = 21) autoantibodies were enrolled in an National Institutes of Health TrialNet ancillary study. Participants wore a CGM for a week and consumed three standardized liquid mixed meals (SLMM) instead of three breakfasts. Glycemic outcomes were computed from weekly, overnight (12:00-06:00), and post-SLMM CGM traces, compared across groups, and used in four supervised machine-learning autoantibody status classifiers. Classifiers were evaluated through 10-fold cross-validation using the receiver operating characteristic area under the curve (AUC-ROC) to select the best classification model. Results: Among all computed glycemia metrics, only three were different across the autoantibodies groups: percent time >180 mg/dL (T180) weekly (P = 0.04), overnight CGM incremental AUC (P = 0.005), and T180 for 75 min post-SLMM CGM traces (P = 0.004). Once overnight and post-SLMM features are incorporated in machine-learning classifiers, a linear support vector machine model achieved the best performance of classifying autoantibody positive versus autoantibody negative participants with AUC-ROC ≥0.81. Conclusion: A new technology combining machine learning with a potentially self-administered 1-week CGM home test can help improve T1D risk detection without the need to visit a hospital or use a medical laboratory. Trial registration: ClinicalTrials.gov registration no. NCT02663661.

Children diagnosed with presymptomatic type 1 diabetes through public health screening have milder diabetes at clinical manifestation

AIMS/HYPOTHESIS

We aimed to determine whether disease severity was reduced at onset of clinical (stage 3) type 1 diabetes in children previously diagnosed with presymptomatic type 1 diabetes in a population-based screening programme for islet autoantibodies.

METHODS

Clinical data obtained at diagnosis of stage 3 type 1 diabetes were evaluated in 128 children previously diagnosed with presymptomatic early-stage type 1 diabetes between 2015 and 2022 in the Fr1da study and compared with data from 736 children diagnosed with incident type 1 diabetes between 2009 and 2018 at a similar age in the DiMelli study without prior screening.

RESULTS

At the diagnosis of stage 3 type 1 diabetes, children with a prior early-stage diagnosis had lower median HbA1c (51 mmol/mol vs 91 mmol/mol [6.8% vs 10.5%], p<0.001), lower median fasting glucose (5.3 mmol/l vs 7.2 mmol/l, p<0.05) and higher median fasting C-peptide (0.21 nmol/l vs 0.10 nmol/l, p<0.001) compared with children without previous early-stage diagnosis. Fewer participants with prior early-stage diagnosis had ketonuria (22.2% vs 78.4%, p<0.001) or required insulin treatment (72.3% vs 98.1%, p<0.05) and only 2.5% presented with diabetic ketoacidosis at diagnosis of stage 3 type 1 diabetes. Outcomes in children with a prior early-stage diagnosis were not associated with a family history of type 1 diabetes or diagnosis during the COVID-19 pandemic. A milder clinical presentation was observed in children who participated in education and monitoring after early-stage diagnosis.

CONCLUSIONS/INTERPRETATION

Diagnosis of presymptomatic type 1 diabetes in children followed by education and monitoring improved clinical presentation at the onset of stage 3 type 1 diabetes.

Does diabetic ketoacidosis at diagnosis of type 1 diabetes mellitus predict poorer long-term glycemic control

BACKGROUND

Diabetic ketoacidosis (DKA) is a life-threatening complication of type 1 diabetes mellitus.

AIMS

This study aimed to determine (1) whether DKA at diagnosis of type 1 diabetes is associated with poorer long-term glycemic control and (2) whether there are confounding factors which may impact the mode of presentation of type 1 diabetes mellitus or subsequent glycemic control.

METHODS

This study was conducted via review of 102 patient files extracted from the Young Person's Type 1 Diabetes Clinic at Cork University Hospital. Glycemic control was measured using the average of the patient's three most recent HbA1C levels, recorded a median of 11 years post-diagnosis of type 1 diabetes mellitus.

RESULTS

Data analysis revealed a positive association between DKA at diagnosis and poorer long-term glycemic control, with HbA1c levels tracking 6.58 mmol/mol (0.6%) higher at follow up in the group with DKA compared to the group without DKA at diagnosis. Certain sociodemographic factors were found to predict worse glycemic control at follow-up: Individuals using recreational drugs and those reporting mental health difficulties were found to have higher levels of HbA1C at follow up (p = ·006,·012, respectively) compared to individuals who did not.

CONCLUSIONS

Diabetic ketoacidosis at diagnosis of type 1 diabetes mellitus was shown to be associated with poorer long-term glycemic control in this study. Furthermore, individuals who utilize recreational drugs or have mental health difficulties had significantly worse glycemic control at follow-up.

Is HbA1c an Indicator of Diabetic Ketoacidosis Severity in the Pediatric Population?

ABSTRACT

Glycosylated hemoglobin (HbA1c) reflects how well blood glucose is controlled and is one of the strongest predictors of chronic complications of diabetes mellitus. The degree of acidosis helps determine the severity of diabetic ketoacidosis (DKA) (mild: pH 7.2-7.3; moderate: pH 7.1-7.2; severe: pH <7.1) and guides the level of care and predicts outcome. Many studies have implicated that higher HbA1c levels lead to recurrent DKA. However, there is no description of the association of higher HbA1c with the severity of DKA. One hundred thirty-eight electronic medical records of patients aged 1 to 21 years admitted to the pediatric intensive care unit with DKA between 2011 and 2015 were analyzed. We excluded 50 patients because the HbA1c level was not available. Spearman correlation analyzed the data for 88 patients included in the study. The mean HbA1c was 13.3, with female patients having more admissions compared with male patients (58% vs 42%). The age group from 13 to 21 years accounted for 77.3% of the patients. The duration of type 1 diabetes mellitus did not affect the HbA1c level. Likewise, the blood glucose and serum creatinine level did not show a statistical correlation with blood pH levels. Mean HbA1c for mild, moderate, and severe DKA groups were 11.4%, 12.2%, and 14.8%, respectively. Blood pH and HbA1c returned a negative correlation (correlation coefficient, -0.557; P = 0.005). The HbA1c level correlated positively with the 3 groups of DKA (correlation coefficient, 0.595; P = 0.01). A higher A 1c was associated with more severe DKA.

A Clinical and Biochemical Comparative Study Of Diabetic Ketoacidosis (DKA) in Newly Diagnosed Vs Known Cases of Type 1 Diabetic Children

Objectives: We aimed to study the characterizing clinical and biochemical profiles of Diabetic Ketoacidosis (DKA) in children with newly diagnosed Type 1 Diabetes Mellitus (Type 1DM) compared to children with established diagnosis of Type 1DM presenting with DKA admitted to the pediatric intensive care unit of a large university hospital in the eastern region of Saudi Arabia. Methods: We retrospectively reviewed the medical records of 211 patients who were admitted to the pediatric intensive care unit with diabetic ketoacidosis between 2010 and 2019. The diagnosis of diabetic ketoacidosis was based on symptoms of polydipsia, polyurea, weight loss, vomiting, dehydration, abdominal pain, breathing problems, lethargy or coma, biochemical hyperglycemia (blood glucose level of >200 mg/dL), venous pH of <7.3, serum bicarbonate level of ≤15 mEq/L, and ketonemia (blood β -hydroxybutyrate concentration of ≥3 mM) or moderate or severe ketonuria (diagnosed as newly acquired type 1 diabetes). Results: The rate of newly diagnosed Type 1 DM with DKA was 41.7%, out of them who got severe and moderate diabetic ketoacidosis were 61.6% and 38.4%, respectively. We observed significantly increased heart and respiratory rates in patients newly diagnosed with diabetic ketoacidosis and in those with severe diabetic ketoacidosis (p<0.001) compared to known cases with Type 1DM presenting with DKA. We also identified significantly increased biochemical indices including HbA1c, random blood sugar, serum osmolality, blood urea nitrogen, creatinine, chloride, lactate, and anion gap in relation to severe diabetic ketoacidosis and newly diagnosed type 1 diabetes (p ≤ 0.05). Conclusions: We found that the clinical and biochemical profiles of patients with newly diagnosed Type 1 DM children were significantly affected compared to children who were known Type 1DM presenting with DKA.

Diabetic Ketoacidosis at Onset of Type 1 Diabetes and Long-term HbA1c in 7,961 Children and Young Adults in the Australasian Diabetes Data Network

OBJECTIVE

The relationship between diabetic ketoacidosis (DKA) at diagnosis of type 1 diabetes and long-term glycemic control varies between studies. We aimed, firstly, to characterize the association of DKA and its severity with long-term HbA1c in a large contemporary cohort, and secondly, to identify other independent determinants of long-term HbA1c.

RESEARCH DESIGN AND METHODS

Participants were 7,961 children and young adults diagnosed with type 1 diabetes by age 30 years from 2000 to 2019 and followed prospectively in the Australasian Diabetes Data Network (ADDN) until 31 December 2020. Linear mixed-effect models related variables to HbA1c.

RESULTS

DKA at diagnosis was present in 2,647 participants (33.2%). Over a median 5.6 (interquartile range 3.2, 9.4) years of follow-up, participants with severe, but not moderate or mild, DKA at diagnosis had a higher mean HbA1c (+0.23%, 95% CI 0.11,0.28; [+2.5 mmol/mol, 95% CI 1.4,3.6]; P < 0.001) compared with those without DKA. Use of continuous subcutaneous insulin infusion (CSII) was independently associated with a lower HbA1c (-0.28%, 95% CI -0.31, -0.25; [-3.1 mmol/mol, 95% CI -3.4, -2.8]; P < 0.001) than multiple daily injections, and CSII use interacted with severe DKA to lower predicted HbA1c. Indigenous status was associated with higher HbA1c (+1.37%, 95% CI 1.15, 1.59; [+15.0 mmol/mol, 95% CI 12.6, 17.4]; P < 0.001), as was residing in postcodes of lower socioeconomic status (most vs. least disadvantaged quintile +0.43%, 95% CI 0.34, 0.52; [+4.7 mmol/mol, 95% CI 3.4, 5.6]; P < 0.001).

CONCLUSIONS

Severe, but not mild or moderate, DKA at diagnosis was associated with a marginally higher HbA1c over time, an effect that was modified by use of CSII. Indigenous status and lower socioeconomic status were independently associated with higher long-term HbA1c.

Factors Associated With Diabetic Ketoacidosis at Onset of Type 1 Diabetes Among Pediatric Patients: A Systematic Review

IMPORTANCE

Presenting with diabetic ketoacidosis (DKA) at onset of type 1 diabetes (T1D) remains a risk. Following a 2011 systematic review, considerable additional articles have been published, and the review required updating.

OBJECTIVE

To evaluate factors associated with DKA at the onset of T1D among pediatric patients.

EVIDENCE REVIEW

In this systematic review, PubMed, Embase, Scopus, CINAHL, Web of Science, and article reference lists were searched using the population, intervention, comparison, outcome search strategy for primary research studies on DKA and T1D onset among individuals younger than 18 years that were published from January 2011 to November 2021. These studies were combined with a 2011 systematic review on the same topic. Data were pooled using a random-effects model.

FINDINGS

A total of 2565 articles were identified; 149 were included, along with 46 from the previous review (total 195 articles). Thirty-eight factors were identified and examined for their association with DKA at T1D onset. Factors associated with increased risk of DKA were younger age at T1D onset (<2 years vs ≥2 years; odds ratio [OR], 3.51; 95% CI, 2.85-4.32; P < .001), belonging to an ethnic minority population (OR, 0.40; 95% CI, 0.21-0.74; P = .004), and family history of T1D (OR, 0.46; 95% CI, 0.37-0.57; P < .001), consistent with the 2011 systematic review. Some factors that were not associated with DKA in the 2011 systematic review were associated with DKA in the present review (eg, delayed diagnosis: OR, 2.27; 95% CI, 1.72-3.01; P < .001). Additional factors associated with risk of DKA among patients with new-onset T1D included participation in screening programs (OR, 0.35; 95% CI, 0.21-0.59; P < .001) and presentation during the COVID-19 pandemic (OR, 2.32; 95% CI, 1.76-3.06; P < .001).

CONCLUSIONS AND RELEVANCE

In this study, age younger than 2 years at T1D onset, belonging to an ethnic minority population, delayed diagnosis or misdiagnosis, and presenting during the COVID-19 pandemic were associated with increased risk of DKA. Factors associated with decreased risk of DKA included greater knowledge of key signs or symptoms of DKA, such as a family history of T1D or participation in screening programs. Future work should focus on identifying and implementing strategies related to these factors to reduce risk of DKA among new patients with T1D.

Frequency of Ketoacidosis at Diagnosis of Pediatric Type 1 Diabetes Associated With Socioeconomic Deprivation and Urbanization: Results From the German Multicenter DPV Registry

OBJECTIVE

To investigate whether socioeconomic deprivation and urbanization are associated with the frequency of diabetic ketoacidosis (DKA) at diagnosis of pediatric type 1 diabetes.

RESEARCH DESIGN AND METHODS

Children and adolescents aged ≤18 years, living in Germany, with newly diagnosed type 1 diabetes documented between 2016 and 2019 in the Diabetes Prospective Follow-up Registry (DPV; Diabetes-Patienten-Verlaufsdokumentation), were assigned to a quintile of regional socioeconomic deprivation (German Index of Socioeconomic Deprivation) and to a degree of urbanization (Eurostat) by using their residence postal code. With multiple logistic regression models, we investigated whether the frequency of DKA at diagnosis was associated with socioeconomic deprivation or urbanization and whether associations differed by age-group, sex, or migration status.

RESULTS

In 10,598 children and adolescents with newly diagnosed type 1 diabetes, the frequency of DKA was lowest in the least deprived regions (Q1: 20.6% [95% CI 19.0-22.4], and increased with growing socioeconomic deprivation to 26.9% [25.0-28.8] in the most deprived regions [Q5]; P for trend <0.001). In rural areas, the frequency of DKA at diagnosis was significantly higher than in towns and suburbs (intermediate areas) or in cities (27.6% [95% CI 26.0-29.3] vs. 22.7% [21.4-24.0], P < 0.001, or vs. 24.3% [22.9-25.7], P = 0.007, respectively). The results did not significantly differ by age-group, sex, or migration background or after additional adjustment for socioeconomic deprivation or urbanization.

CONCLUSIONS

This study provides evidence that prevention of DKA at diagnosis by means of awareness campaigns and screening for presymptomatic type 1 diabetes should particularly target socioeconomically disadvantaged regions and rural areas.

Familial autoimmunity in pediatric patients with type 1 diabetes (T1D) and its associations with the severity of clinical presentation at diabetes diagnosis and with coexisting autoimmunity

PURPOSE

The aim was to evaluate the impact of familial autoimmunity on the age and severity of type 1 diabetes (T1D) presentation and on the coexistence of other autoimmune diseases.

METHODS

We retrospectively evaluated the medical records of 121 children/adolescents (male: 63) followed in our Diabetic Clinic from 2002 to 2016.

RESULTS

Seventy-six patients (62.8%) had at least one relative with an autoimmune disease, Hashimoto's thyroiditis (49.5%) and T1D (22.3%) being the commonest. Children with familial autoimmunity were younger at T1D diagnosis (mean age ± SD) (6.766 ± 3.75). Median fasting c-peptide levels at presentation were not related to familial autoimmunity. Patients with familial autoimmunity more often exhibited GADA autoantibody positivity at diagnosis. The larger the number of the patient's relatives diagnosed with an autoimmune disease, the higher were the patient's GADA levels (Spearman's rho test = 0.19, p = 0.049). Children with a first-degree relative with autoimmunity had a coexisting autoimmune disorder at a significantly higher percentage (p = 0.016). Family history of autoimmunity was negatively associated with the presence of diabetic ketoacidosis (DKA) (p = 0.024). Patients with a relative with T1D less frequently exhibited DKA at diagnosis (12.8 vs. 87.2%, p = 0.003). The presence of DKA was associated with younger age (p = 0.05) and lower c-peptide levels (p = 0.033).

CONCLUSIONS

Familial autoimmunity was present in 62.8% of children with T1D, autoimmune thyroiditis and T1D being the two most frequent familial autoimmune diseases. Familial autoimmunity reduced the risk of DKA at diagnosis, but these patients were younger and had higher levels of pancreatic autoantibodies and a greater risk of developing additional autoimmune diseases.

Moderate and severe diabetic ketoacidosis at type 1 diabetes onset in children over two decades: A population-based study of prevalence and long-term glycemic outcomes

OBJECTIVE

To investigate in a population-based pediatric cohort: prevalence of moderate-severe diabetic ketoacidosis (DKA) at type 1 diabetes (T1D) diagnosis over two decades and its association with long-term glycemic control.

RESEARCH DESIGN AND METHODS

Children <16 years diagnosed with T1D in Western Australia 2000-2019 were included and followed up for ≤14 years. Moderate-severe DKA at diagnosis was defined as serum pH < 7.2 or bicarbonate<10 mmol/L with hyperglycemia and ketosis. HbA1c was measured ~3-monthly. Trend in prevalence of moderate-severe DKA at diagnosis was investigated using a logistic regression model adjusting for sex, age, socioeconomic status, and area of residence. Long-term glycemic control associated with DKA at diagnosis was investigated using linear mixed models adjusting for the same variables and also for visit frequency, CGM and pump use.

RESULTS

Moderate-severe DKA occurred in 534 of 2111 (25.3%) participants. Odds of presenting with moderate-severe DKA increased by 4.1% (95% CI: 2.3, 5.9; p < 0.001) per year. Patients with moderate-severe DKA at diagnosis had higher HbA1c levels than other patients initially; the groups were similar between 2 and 6 years duration; from 7 years HbA1c levels tracked higher in the group with moderate-severe DKA at diagnosis with significant differences at 8 and 12 years (p < 0.05).

CONCLUSION

The increasing prevalence of DKA at diagnosis of pediatric T1D is concerning and highlights the need for early detection programs. Unlike a similar US study, this study did not find a consistent, clinically significant relationship between DKA at diagnosis and long-term HbA1c, raising important questions about the influence of other factors on long-term glycemic outcomes.

Comparison of the clinical characteristics and outcomes of pediatric patients with and without diabetic ketoacidosis at the time of type 1 diabetes diagnosis

PURPOSE

We investigated the possible effects of diabetic ketoacidosis (DKA) at the initial diagnosis of type 1 diabetes mellitus (T1DM) on the clinical outcomes of pediatric patients.

METHODS

Medical records of children and adolescents with newly diagnosed T1DM seen in the Ajou University Hospital from January 2008 to August 2020 were reviewed and analyzed.

RESULTS

Among 129 diagnosed T1DM patients, 40.3% presented with DKA. Although demographic and basic characteristics did not differ between DKA and non-DKA patients, DKA patients needed a significantly higher insulin dosage than non-DKA patients for 2 years after diagnosis. However, control of glycated hemoglobin was not different between the DKA and non-DKA groups during the observation period. In the biochemical analysis, C-peptide, insulin-like growth factor-1, and insulin-like growth factor binding protein 3, high-density lipoprotein cholesterol, free T4, and T3 values were lower, but thyroid-stimulating hormone, initial serum glucose, uric acid, total cholesterol, triglyceride, and low-density lipoprotein cholesterol values were higher in DKA patients than non-DKA patients at the diagnosis of T1DM; however, these differences were temporarily present and disappeared with insulin treatment. Other clinical outcomes, such as height, thyroid function, and urine microalbumin level, did not vary significantly between the DKA and non-DKA groups during 5 years of follow-up.

CONCLUSION

DKA at initial presentation reflects the severity of disease progression, and the deleterious effects of DKA seem to impact insulin secretion. Although no difference in long-term prognosis was found, early detection of T1DM should help to reduce DKA-related islet damage and the socioeconomic burden of T1DM.

Costs of Public Health Screening of Children for Presymptomatic Type 1 Diabetes in Bavaria, Germany

OBJECTIVE

We sought to evaluate costs associated with public health screening for presymptomatic type 1 diabetes in 90,632 children as part of the Fr1da study in Bavaria and in forecasts for standard care.

RESEARCH DESIGN AND METHODS

We report on resource use and direct costs for screening-related procedures in the Fr1da study coordination center and laboratory and in participating pediatric practices and local diabetes clinics. Data were obtained from Fr1da study documents, an online survey among pediatricians, and interviews and records of Fr1da staff members. Data were analyzed with tree models that mimic procedures during the screening process. Cost estimates are presented as they were observed in the Fr1da study and as they can be expected in standard care for various scenarios.

RESULTS

The costs per child screened in the Fr1da study were €28.17 (95% CI 19.96; 39.63) and the costs per child diagnosed with presymptomatic type 1 diabetes were €9,117 (6,460; 12,827). Assuming a prevalence of presymptomatic type 1 diabetes of 0.31%, as in the Fr1da study, the estimated costs in standard care in Germany would be €21.73 (16.76; 28.19) per screened child and €7,035 (5,426; 9,124) per diagnosed child. Of the projected screening costs, €12.25 would be the costs in the medical practice, €9.34 for coordination and laboratory, and €0.14 for local diabetes clinics.

CONCLUSIONS

This study provides information for the planning and implementation of screening tests for presymptomatic type 1 diabetes in the general public and for the analysis of the cost-effectiveness of targeted prevention strategies.

Heterogeneity of DKA Incidence and Age-Specific Clinical Characteristics in Children Diagnosed With Type 1 Diabetes in the TEDDY Study

OBJECTIVE

The Environmental Determinants of Diabetes in the Young (TEDDY) study is uniquely capable of investigating age-specific differences associated with type 1 diabetes. Because age is a primary driver of heterogeneity in type 1 diabetes, we sought to characterize by age metabolic derangements prior to diagnosis and clinical features associated with diabetic ketoacidosis (DKA).

RESEARCH DESIGN AND METHODS

The 379 TEDDY children who developed type 1 diabetes were grouped by age at onset (0-4, 5-9, and 10-14 years; n = 142, 151, and 86, respectively) with comparisons of autoantibody profiles, HLAs, family history of diabetes, presence of DKA, symptomatology at onset, and adherence to TEDDY protocol. Time-varying analysis compared those with oral glucose tolerance test data with TEDDY children who did not progress to diabetes.

RESULTS

Increasing fasting glucose (hazard ratio [HR] 1.09 [95% CI 1.04-1.14]; P = 0.0003), stimulated glucose (HR 1.50 [1.42-1.59]; P < 0.0001), fasting insulin (HR 0.89 [0.83-0.95]; P = 0.0009), and glucose-to-insulin ratio (HR 1.29 [1.16-1.43]; P < 0.0001) were associated with risk of progression to type 1 diabetes. Younger children had fewer autoantibodies with more symptoms at diagnosis. Twenty-three children (6.1%) had DKA at onset, only 1 (0.97%) of 103 with and 22 (8.0%) of 276 children without a first-degree relative (FDR) with type 1 diabetes (P = 0.008). Children with DKA were more likely to be nonadherent to study protocol (P = 0.047), with longer duration between their last TEDDY evaluation and diagnosis (median 10.2 vs. 2.0 months without DKA; P < 0.001).

CONCLUSIONS

DKA at onset in TEDDY is uncommon, especially for FDRs. For those without familial risk, metabolic monitoring continues to provide a primary benefit of reduced DKA but requires regular follow-up. Clinical and laboratory features vary by age at onset, adding to the heterogeneity of type 1 diabetes.

Alarming increase in ketoacidosis in children and adolescents with newly diagnosed type 1 diabetes during the first wave of the COVID-19 pandemic in Israel

OBJECTIVE

To evaluate the incidence and severity of ketoacidosis (DKA) at type 1 diabetes diagnosis during the first wave of the coronavirus disease 2019 (COVID-19) pandemic in Israel.

RESEARCH DESIGN AND METHODS

A population-based study the product of a national collaboration of Israeli pediatric diabetes centers investigated the presentation of childhood-onset type 1 diabetes. The frequencies of DKA and severe DKA observed during the COVID-19 period from March 15, 2020 (commencement of the first nationwide lockdown) until June 30, 2020 were compared with the same periods in 2019, 2018, and 2017 using multivariable logistic regression, adjusting for age, sex, and socioeconomic position.

RESULTS

During the COVID-19 period, DKA incidence was 58.2%, significantly higher than in 2019 (adjusted OR [aOR] 2.18 [95% CI, 1.31-3.60], P = 0.003); 2018 (aOR 2.05 [95% CI, 1.26-3.34], P = 0.004); and 2017 (aOR, 1.79 [95% CI, 1.09-2.93], P = 0.022). The incidence of severe DKA was 19.9%, significantly higher than in 2018 (aOR, 2.49 [95% CI, 1.20-5.19], P = 0.015) and 2017 (aOR, 2.73 [95% CI, 1.28-5.82], P = 0.009). In 2020, admissions and duration of stay in the intensive care unit were higher than in previous years (P = 0.001). During the COVID-19 pandemic, children aged 6-11 years had higher incidences of DKA (61.3% vs. 34.0%, 40.6%, and 45.1%, respectively, P = 0.012), and severe DKA (29.3% vs. 15.1%, 10.9%, and 5.9%, respectively, P = 0.002).

CONCLUSIONS

The dramatic increase in DKA at presentation of childhood-onset type 1 diabetes during the COVID-19 pandemic mandates targeted measures to raise public and physician awareness.

Is diabetic ketoacidosis a good predictor of 5-year metabolic control in children with newly diagnosed type 1 diabetes?

BACKGROUND

The study aimed to evaluate whether the presence of DKA at diabetes diagnosis was associated with poorer metabolic control during a 5-year follow-up.

METHODS

The study included children treated due to newly diagnosed T1D complicated with DKA between 2010 and 2014 with a complete 5-year follow-up. In every case we performed individual matching for age, gender and BMI with a person without DKA (nDKA) on recognition. We collected data regarding treatment modality, HbA_1C, total daily insulin dose, basal insulin and BMI-SDS.

RESULTS

85 children at the median age of 7.93 years had DKA at diabetes diagnosis. The median pH was 7.19.Continuous subcutaneous insulin infusion (CSII) was used in 87% of participants in each group. No differences in HbA_1C level (7,3%vs7,2%;p = .413) were noted after 5 years of disease duration. The severity of ketoacidosis exerted no significant effect on HbA_1C. The method of insulin delivery at baseline was significantly associated with HbA_1C levels after 5 years of observation, β_CSII = - 1.46,95%CI[- 2.01 to - 0.92],p < .001.

CONCLUSIONS

The presence of DKA at diabetes diagnosis is not associated with deteriorated long-term metabolic control in children using modern technologies. The early implementation of CSII into diabetes treatment may change the effect of DKA and lead to a long-term HbA_1C improvement.

Effects of Fluid Rehydration Strategy on Correction of Acidosis and Electrolyte Abnormalities in Children With Diabetic Ketoacidosis

OBJECTIVE

Fluid replacement to correct dehydration, acidosis, and electrolyte abnormalities is the cornerstone of treatment for diabetic ketoacidosis (DKA), but little is known about optimal fluid infusion rates and electrolyte content. The objective of this study was to evaluate whether different fluid protocols affect the rate of normalization of biochemical derangements during DKA treatment.

RESEARCH DESIGN AND METHODS

The current analysis involved moderate or severe DKA episodes (n = 714) in children age <18 years enrolled in the Fluid Therapies Under Investigation in DKA (FLUID) Trial. Children were assigned to one of four treatment groups using a 2 × 2 factorial design (0.90% or 0.45% saline and fast or slow rate of administration).

RESULTS

The rate of change of pH did not differ by treatment arm, but Pco₂ increased more rapidly in the fast versus slow fluid infusion arms during the initial 4 h of treatment. The anion gap also decreased more rapidly in the fast versus slow infusion arms during the initial 4 and 8 h. Glucose-corrected sodium levels remained stable in patients assigned to 0.90% saline but decreased in those assigned to 0.45% saline at 4 and 8 h. Potassium levels decreased, while chloride levels increased more rapidly with 0.90% versus 0.45% saline. Hyperchloremic acidosis occurred more frequently in patients in the fast arms (46.1%) versus the slow arms (35.2%).

CONCLUSIONS

In children treated for DKA, faster fluid administration rates led to a more rapid normalization of anion gap and Pco₂ than slower fluid infusion rates but were associated with an increased frequency of hyperchloremic acidosis.

Increase in Prevalence of Diabetic Ketoacidosis at Diagnosis Among Youth With Type 1 Diabetes: The SEARCH for Diabetes in Youth Study

OBJECTIVE

We previously reported a high (˜30%) but stable prevalence of diabetic ketoacidosis (DKA) at youth-onset diagnosis of type 1 diabetes (2002 and 2010). Given the changing demographics of youth-onset type 1 diabetes, we sought to evaluate temporal trends in the prevalence of DKA at diagnosis of type 1 diabetes from 2010 to 2016 among youth <20 years of age and evaluate whether any change observed was associated with changes in sociodemographic distribution of those recently diagnosed.

RESEARCH DESIGN AND METHODS

We calculated prevalence of DKA within 1 month of type 1 diabetes diagnosis by year and evaluated trends over time (2010-2016) (n = 7,612 incident diabetes cases; mean [SD] age 10.1 [4.5] at diagnosis). To assess whether trends observed were attributable to the changing distribution of sociodemographic factors among youth with incident type 1 diabetes, we estimated an adjusted relative risk (RR) of DKA in relation to calendar year, adjusting for age, sex, race/ethnicity, income, education, health insurance status, language, season of diagnosis, and SEARCH for Diabetes in Youth Study site.

RESULTS

DKA prevalence increased from 35.3% (95% CI 32.2, 38.4) in 2010 to 40.6% (95% CI 37.8, 43.4) in 2016 (P _trend = 0.01). Adjustment for sociodemographic factors did not substantively change the observed trends. We observed a 2% annual increase in prevalence of DKA at or near diagnosis of type 1 diabetes (crude RR 1.02 [95% CI 1.01, 1.04] and adjusted RR 1.02 [95% CI 1.01, 1.04]; P = 0.01 for both).

CONCLUSIONS

Prevalence of DKA at or near type 1 diabetes diagnosis has increased from 2010 to 2016, following the high but stable prevalence observed from 2002 to 2010. This increase does not seem to be attributable to the changes in distribution of sociodemographic factors over time.

Glucagon stimulation test as a possible predictor of residual β-cell function

BACKGROUND

We aimed to investigate the significance of the C-peptide levels on a glucagon stimulation test (GST) conducted soon after diagnosis as a predictive marker for residual β-cell function over time in Japanese children with type 1 diabetes (TD1).

METHODS

We retrospectively enrolled 65 Japanese children (25 male, 40 female; age <16 years) with new-onset TD1. A GST was conducted within 1 month of diagnosis, when glucose toxicity improved. One- to 2-h postprandial serum C-peptide values were measured at 0, 3, 6, 12, 24, 36, 60, and 120 months after diagnosis.

RESULTS

Receiver operating characteristic analysis showed that the cutoff values of peak serum C-peptide levels used to predict the complete destruction of β-cells at 3, 6, and 12 months after diagnosis were all 0.20 ng/mL (area under the curve [AUC] 0.867, 95% confidence interval [CI] 0.745-0.990; AUC 0.774, 95% CI 0.634-0.914; and AUC 0.804, 95% CI 0.695-0.914, respectively); the values at 24, 36, and 60 months were 0.69 ng/mL (AUC 0.828, 95% CI 0.721-0.936), 0.60 ng/mL (AUC 0.777, 95% CI 0.636-0.918), and 0.70 ng/mL (AUC 0.848, 95% CI 0.715-0.982), respectively. On multivariate analysis, peak serum C-peptide level on a GST, diabetic ketoacidosis, age, and HbA1c level at diagnosis were associated with residual β-cell function over time.

CONCLUSIONS

Peak serum C-peptide levels on a GST conducted soon after diagnosis in Japanese children with TD1 could predict the time to decrease in postprandial serum C-peptide values to < 0.20 ng/mL.

Parent and Pediatrician Preferences for Type 1 Diabetes Screening in the U.S

OBJECTIVE

The purpose of this study was to use a discrete-choice experiment methodology to understand the relative importance of the attributes of screening tests for type 1 diabetes among parents and pediatricians in the U.S.

RESEARCH DESIGN AND METHODS

Online surveys presented hypothetical screening test profiles from which respondents chose their preferred test profile. Survey attributes were based on likely screening test options and included the mode of administration, where and when the test was conducted, the type of education and monitoring available to lower the risk of diabetic ketoacidosis (DKA), and whether a treatment was available that would delay onset of insulin dependence. Data were analyzed using random-parameters logit models.

RESULTS

Parents placed the highest relative importance on monitoring programs that could reduce the risk of DKA to 1%, followed by treatment to delay onset of insulin dependence by 1 or 2 years, and, finally, avoiding a $50 out-of-pocket cost. Pediatricians placed equal importance on monitoring programs that reduced a patient's risk of DKA to 1% and on avoiding a $50 out-of-pocket cost for the screening test, followed by the option of a treatment to delay the onset of insulin dependence. The mode of administration and location and timing of the screening were much less important to parents and pediatricians.

CONCLUSIONS

Parents and pediatricians preferred screening tests that were accompanied by education and monitoring plans to reduce the risk of DKA, had available treatment to delay type 1 diabetes, and had lower out-of-pocket costs.

3D Bioprinting and Translation of Beta Cell Replacement Therapies for Type 1 Diabetes

Type 1 diabetes (T1D) is an autoimmune disorder in which the body's own immune system selectively attacks beta cells within pancreatic islets resulting in insufficient insulin production and loss of the ability to regulate blood glucose (BG) levels. Currently, the standard of care consists of BG level monitoring and insulin administration, which are essential to avoid the consequences of dysglycemia and long-term complications. Although recent advances in continuous glucose monitoring and automated insulin delivery systems have resulted in improved clinical outcomes for users, nearly 80% of people with T1D fail to achieve their target hemoglobin A1c (HbA1c) levels defined by the American Diabetes Association. Intraportal islet transplantation into immunosuppressed individuals with T1D suffering from impaired awareness of hypoglycemia has resulted in lower HbA1c, elimination of severe hypoglycemic events, and insulin independence, demonstrating the unique potential of beta cell replacement therapy (BCRT) in providing optimal glycemic control and a functional cure for T1D. BCRTs need to maximize cell engraftment, long-term survival, and function in the absence of immunosuppression to provide meaningful clinical outcomes to all people living with T1D. One innovative technology that could enable widespread translation of this approach into the clinic is three-dimensional (3D) bioprinting. Herein, we review how bioprinting could facilitate translation of BCRTs as well as the current and forthcoming techniques used for bioprinting of a BCRT product. We discuss the strengths and weaknesses of 3D bioprinting in this context in addition to the road ahead for the development of BCRTs. Impact statement Significant research developments in beta cell replacement therapies show its promise in providing a functional cure for type 1 diabetes (T1D); yet, their widespread clinical use has been difficult to achieve. This review provides a brief overview of the requirements for a beta cell replacement product followed by a discussion on both the promise and limitations of three-dimensional bioprinting in facilitating the fabrication of such products to enable translation into the clinic. Advancements in this area could be a key component to unlocking the safety and effectiveness of beta cell therapy for T1D.

Management of Diabetic Ketoacidosis in Adults: A Narrative Review

Diabetic ketoacidosis (DKA) is the most common hyperglycemic emergency and causes the greatest risk for death in patients with diabetes mellitus. DKA more commonly occurs among those with type 1 diabetes, yet almost a third of the cases occur among those with type 2 diabetes. Although mortality rates from DKA have declined to low levels in general, it continues to be high in many developing countries. DKA is characterized by hyperglycemia, metabolic acidosis and ketosis. Proper management of DKA requires hospitalization for aggressive intravenous fluids, insulin therapy, electrolyte replacement as well as identification and treatment of the underlying precipitating event along with frequent monitoring of patient's clinical and laboratory states. The most common precipitating causes for DKA include infections, new diagnosis of diabetes and nonadherence to insulin therapy. Clinicians should be aware of the occurrence of DKA in patients prescribed sodium-glucose co-transporter 2 inhibitors. Discharge plans should include appropriate choice and dosing of insulin regimens and interventions to prevent recurrence of DKA. Future episodes of DKA can be reduced through patient education programs focusing on adherence to insulin and self-care guidelines during illness and improved access to medical providers. New approaches such as extended availability of phone services, use of telemedicine and utilization of public campaigns can provide further support for the prevention of DKA.

Temporal trends in diabetic ketoacidosis at diagnosis of paediatric type 1 diabetes between 2006 and 2016: results from 13 countries in three continents

AIMS/HYPOTHESIS

The aim of this work was to evaluate geographical variability and trends in the prevalence of diabetic ketoacidosis (DKA), between 2006 and 2016, at the diagnosis of childhood-onset type 1 diabetes in 13 countries over three continents.

METHODS

An international retrospective study on DKA at diagnosis of diabetes was conducted. Data on age, sex, date of diabetes diagnosis, ethnic minority status and presence of DKA at diabetes onset were obtained from Australia, Austria, Czechia, Denmark, Germany, Italy, Luxembourg, New Zealand, Norway, Slovenia, Sweden, USA and the UK (Wales). Mean prevalence was estimated for the entire period, both overall and by country, adjusted for sex and age group. Temporal trends in annual prevalence of DKA were estimated using logistic regression analysis for each country, before and after adjustment for sex, age group and ethnic minority status.

RESULTS

During the study period, new-onset type 1 diabetes was diagnosed in 59,000 children (median age [interquartile range], 9.0 years [5.5-11.7]; male sex, 52.9%). The overall adjusted DKA prevalence was 29.9%, with the lowest prevalence in Sweden and Denmark and the highest in Luxembourg and Italy. The adjusted DKA prevalence significantly increased over time in Australia, Germany and the USA while it decreased in Italy. Preschool children, adolescents and children from ethnic minority groups were at highest risk of DKA at diabetes diagnosis in most countries. A significantly higher risk was also found for females in Denmark, Germany and Slovenia.

CONCLUSIONS/INTERPRETATION

DKA prevalence at type 1 diabetes diagnosis varied considerably across countries, albeit it was generally high and showed a slight increase between 2006 and 2016. Increased awareness of symptoms to prevent delay in diagnosis is warranted, especially in preschool children, adolescents and children from ethnic minority groups.

Cost and Cost-effectiveness of Large-scale Screening for Type 1 Diabetes in Colorado

OBJECTIVE

To assess the costs and project the potential lifetime cost-effectiveness of the ongoing Autoimmunity Screening for Kids (ASK) program, a large-scale, presymptomatic type 1 diabetes screening program for children and adolescents in the metropolitan Denver region.

RESEARCH DESIGN AND METHODS

We report the resource utilization, costs, and effectiveness measures from the ongoing ASK program compared with usual care (i.e., no screening). Additionally, we report a practical screening scenario by including utilization and costs relevant to routine screening in clinical practice. Finally, we project the potential cost-effectiveness of ASK and routine screening by identifying clinical benchmarks (i.e., diabetic ketoacidosis [DKA] events avoided, HbA_1c improvements vs. no screening) needed to meet value thresholds of $50,000-$150,000 per quality-adjusted life-year (QALY) gained over a lifetime horizon.

RESULTS

Cost per case detected was $4,700 for ASK screening and $14,000 for routine screening. To achieve value thresholds of $50,000-$150,000 per QALY gained, screening costs would need to be offset by cost savings through 20% reductions in DKA events at diagnosis in addition to 0.1% (1.1 mmol/mol) improvements in HbA_1c over a lifetime compared with no screening for patients who develop type 1 diabetes. Value thresholds were not met from avoiding DKA events alone in either scenario.

CONCLUSIONS

Presymptomatic type 1 diabetes screening may be cost-effective in areas with a high prevalence of DKA and an infrastructure facilitating screening and monitoring if the benefits of avoiding DKA events and improved HbA_1c persist over long-run time horizons. As more data are collected from ASK, the model will be updated with direct evidence on screening effects.

Incidence Trends of Diabetic Ketoacidosis in Children and Adolescents with Type 1 Diabetes in British Columbia, Canada

OBJECTIVES

To estimate the 11-year incidence trend of diabetic ketoacidosis (DKA) at and after the diagnosis of type 1 diabetes.

STUDY DESIGN

A retrospective cohort study using a population-based administrative cohort diagnosed with type 1 diabetes at <20 years of age from 2002 to 2012 in British Columbia, Canada. DKA at (1 episode per individual) and DKA after (multiple episodes per individual) the diagnosis of diabetes were defined as DKA occurring ≤14 days or >14 days, respectively, from diagnosis, identified using International Classification of Diseases,9th and 10theditions codes. Incidence rate ratios were estimated using Poisson regression and DKA trends using Joinpoint regression analyses.

RESULTS

There were 1519 individuals (mean age at first-DKA, 12.6 ± 5.9 years; 50% male) with ≥1 DKA episode identified. Of 2615 incident cases of type 1 diabetes, there were 847 (32.4%; mean age, 9.9 ± 4.8 years; 52% male) episodes of DKA at the diagnosis of diabetes. Among prevalent cases of type 1 diabetes (1790 cases in 2002 increasing to 2264 in 2012), there were 1886 episodes of DKA after the diagnosis of diabetes (mean age at first DKA, 15.7 ± 5.2 years). The rates per 100 person-years of DKA at diabetes diagnosis (ranging from 24.1 in 2008 to 37.3 in 2006) and DKA after diabetes diagnosis (ranging from 4.9 in 2002 to 7.7 in 2008) remained stable. Females showed a 67% higher rate of incidence of DKA after the diagnosis of diabetes compared with their male counterparts (incidence rate ratio, 1.67; 95% CI, 1.50-1.86; P < .001), adjusted for the temporal trend by fiscal year. Younger age at diagnosis (<5 years) was associated with a greater risk of DKA at the time of diabetes diagnosis and older children (≥10 years) had a greater risk of DKA after the diagnosis of diabetes.

CONCLUSIONS

The risk of DKA at the time of diagnosis of diabetes was greater with younger age and the risk of DKA after the diagnosis of diabetes was higher in females and older children and youth.

Circulating osteocalcin: A potential predictor of ketosis in type 2 diabetes

AIMS

Osteocalcin contributes to the regulation of endocrine system. However, the association between osteocalcin and ketosis has not been evaluated. We thus aimed to explore the relationship between total osteocalcin and risk of ketosis in type 2 diabetes (T2DM).

MATERIALS AND METHODS

We identified 6157 diabetes patients from Shanghai Tenth People's Hospital between 1 January 2011 and 1 March 2017. Six hundred eight subjects were enrolled in the retrospective cross-sectional study: 304 T2DM patients with ketosis whose age, gender, and body mass index were matched with 304 T2DM patients without ketosis. A further retrospective nested case-control study was conducted in 252 T2DM patients without ketosis for a mean duration of 21.58 ± 12.43 months to investigate the occurrence of ketosis.

RESULTS

Osteocalcin levels were negatively correlated with blood ketones (adjusted r = -0.263) and urine ketones (adjusted r = -0.183). The inverse dose-dependent relationship of osteocalcin and risk of ketosis was present across osteocalcin level quintiles (top quintile as the reference, adjusted odds ratio [95% CI] = 2.56 [0.80-8.17], 3.71 [0.90-15.29], 10.77 [2.63-44.15], 23.81 [4.32-131.17] per osteocalcin quintile, respectively). Ketosis occurred in 17 of the 252 T2DM patients during follow-up. The Cox regression analysis indicated that osteocalcin was an independent protective factor against development of ketosis (adjusted hazard ratio [95% CI]: 0.668 [0.460-0.971]).

CONCLUSIONS

Total osteocalcin can be used as a predictor of ketosis in T2DM.

Factors predicting poor glycemic control in the first two years of childhood onset type 1 diabetes in a cohort from East London, UK: Analyses using mixed effects fractional polynomial models

BACKGROUND/OBJECTIVE

Poor early glycemic control in childhood onset type 1 diabetes (T1D) is associated with future risk of acute and chronic complications. Our aim was to identify the predictors of higher glycated hemoglobin (HbA1c) within 24 months of T1D diagnosis in children and adolescents.

METHODS

Mixed effects models with fractional polynomials were used to analyze longitudinal data of patients <19 years of age, followed from T1D diagnosis for up to 2 years, at three diabetes clinics in East London, United Kingdom.

RESULTS

A total of 2209 HbA1c observations were available for 356 patients (52.5% female; 64.4% non-white), followed from within 3 months of diagnosis during years 2005 to 2015, with a mean ± SD of 6.2 ± 2.5 HbA1c observations/participant. The mean age and HbA1c at diagnosis were 8.9 ± 4.3 years and 10.7% ±4.3% (or expressed as mmol/mol HbA1c mean ± SD 92.9 ± 23.10 mmol/mol) respectively. Over the 2 years following T1D diagnosis, HbA1c levels were mostly above the National Institute for Health, Care and Excellence (NICE), UK recommendations of 7.5% (<58 mmol/mol). Significant (P < .05) predictors of poorer glycemic control were: Age at diagnosis (12-18 years), higher HbA1c at baseline (>9.5%, ie, >80 mmol/mol), clinic site, non-white ethnicity, and period (pre-year 2011) of diagnosis. Additionally in univariable analyses, frequency of clinic visits, HbA1c at diagnosis, and type of insulin treatment regimen showed association with poor glycemic control (P < .05).

CONCLUSIONS

Major risk factors of poorer glycemic control during 3-24 months following childhood onset T1D are: diagnosis prior to 2011, higher HbA1c levels at baseline, age at diagnosis, non-white ethnicity, and clinic site.

Association of diabetic ketoacidosis and HbA1c at onset with year-three HbA1c in children and adolescents with type 1 diabetes: Data from the International SWEET Registry

OBJECTIVE

To establish whether diabetic ketoacidosis (DKA) or HbA1c at onset is associated with year-three HbA1c in children with type 1 diabetes (T1D).

METHODS

Children with T1D from the SWEET registry, diagnosed <18 years, with documented clinical presentation, HbA1c at onset and follow-up were included. Participants were categorized according to T1D onset: (a) DKA (DKA with coma, DKA without coma, no DKA); (b) HbA1c at onset (low [<10%], medium [10 to <12%], high [≥12%]). To adjust for demographics, linear regression was applied with interaction terms for DKA and HbA1c at onset groups (adjusted means with 95% CI). Association between year-three HbA1c and both HbA1c and presentation at onset was analyzed (Vuong test).

RESULTS

Among 1420 children (54% males; median age at onset 9.1 years [Q1;Q3: 5.8;12.2]), 6% of children experienced DKA with coma, 37% DKA without coma, and 57% no DKA. Year-three HbA1c was lower in the low compared to high HbA1c at onset group, both in the DKA without coma (7.1% [6.8;7.4] vs 7.6% [7.5;7.8], P = .03) and in the no DKA group (7.4% [7.2;7.5] vs 7.8% [7.6;7.9], P = .01), without differences between low and medium HbA1c at onset groups. Year-three HbA1c did not differ among HbA1c at onset groups in the DKA with coma group. HbA1c at onset as an explanatory variable was more closely associated with year-three HbA1c compared to presentation at onset groups (P = .02).

CONCLUSIONS

Year-three HbA1c is more closely related to HbA1c than to DKA at onset; earlier hyperglycemia detection might be crucial to improving year-three HbA1c.

Medical Costs Among Youth Younger Than 20 Years of Age With and Without Diabetic Ketoacidosis at the Time of Diabetes Diagnosis

OBJECTIVE

While diabetic ketoacidosis (DKA) is common in youth at the onset of the diabetes, the excess costs associated with DKA are unknown. We aimed to quantify the health care services use and medical care costs related to the presence of DKA at diagnosis of diabetes.

RESEARCH DESIGN AND METHODS

We analyzed data from the U.S. MarketScan claims database for 4,988 enrollees aged 3-19 years insured in private fee-for-service plans and newly diagnosed with diabetes during 2010-2016. Youth with and without DKA at diabetes diagnosis were compared for mean health care service use (outpatient, office, emergency room, and inpatient visits) and medical costs (outpatient, inpatient, prescription drugs, and total) for 60 days prior to and 60 days after diabetes diagnosis. A two-part model using generalized linear regression and logistic regression was used to estimate medical costs, controlling for age, sex, rurality, health plan, year, presence of hypoglycemia, and chronic pulmonary condition. All costs were adjusted to 2016 dollars.

RESULTS

At diabetes diagnosis, 42% of youth had DKA. In the 60 days prior to diabetes diagnosis, youth with DKA at diagnosis had less health services usage (e.g., number of outpatient visits: -1.17; P < 0.001) and lower total medical costs (-$635; P < 0.001) compared with youth without DKA at diagnosis. In the 60 days after diagnosis, youth with DKA had significantly greater health care services use and health care costs ($6,522) compared with those without DKA.

CONCLUSIONS

Among youth with newly diagnosed diabetes, DKA at diagnosis is associated with significantly higher use of health care services and medical costs.

DIABETIC KETOACIDOSIS AS THE INITIAL PRESENTATION OF TYPE 1 DIABETES IN CHILDREN AND ADOLESCENTS: EPIDEMIOLOGICAL STUDY IN SOUTHERN BRAZIL

Objective:

To analyze the variables associated with the presence of diabetic ketoacidosis in type 1 diabetes mellitus (T1DM) diagnosis and its impact on the progression of the disease.

Methods:

We reviewed the records of 274 children and adolescents under 15 years, followed in a Pediatric Endocrinology clinic of a university hospital in Curitiba-PR. They had their first appointment between January 2005 and April 2015.

Results:

Most patients received their T1DM diagnosis during a diabetic ketoacidosis episode. The associated factors were: lower age and greater number of visits to a physician’s office prior to diagnosis; diabetic ketoacidosis was less frequent in patients who had siblings with T1DM and those diagnosed at the first appointment. Nausea and vomiting, abdominal pain, tachydyspnea, and altered level of consciousness were more common in the diabetic ketoacidosis group. There was no association with socioeconomic status, duration of symptoms before diagnosis, and length of the honeymoon period.

Conclusions:

Prospective studies are necessary to better define the impact of these factors on diagnosis and disease control. Campaigns to raise awareness among health professionals and the general population are essential to promote early diagnosis and proper treatment of diabetes mellitus in children and adolescents.

Prognosis for residual islet β-cell secretion function in young patients with newly diagnosed type 1 diabetes

BACKGROUND

This study investigated possible predictors of residual islet β-cell function (RBF) in young patients with newly diagnosed type 1 diabetes (T1D).

METHODS

After analyzing RBF in 443 patients with T1D according to age at diagnosis and disease duration, 110 were followed-up over 18-60 months. A nomogram was developed by logistic regression to explore factors associated with long-term RBF.

RESULTS

Of the 443 T1D patients (mean [±SD] age 20.28 ± 5.50 years; mean [±SD] diabetes duration 28.5 ± 14.6 months), RBF was preserved in 64.3%. Independent predictors for poor RBF outcome among the 110 patients in the follow-up cohort were age at onset (odds ratio [OR] 0.82; 95% confidence interval [CI] 0.73-0.92; P < 0.001), high-risk human leukocyte antigen (HLA) status (OR 4.73; CI 1.28-17.52; P = 0.020), female sex (OR 3.39; CI 1.03-11.22; P = 0.045), and a history of diabetic ketoacidosis (DKA; OR 8.71; CI 2.31-32.83; P < 0.001). Baseline glutamic acid decarboxylase (GAD) antibody, family history of diabetes, body mass index, insulin dosage, and C-peptide and HbA1c levels were not associated with poor RBF outcome. Intensive glycemic control after T1D diagnosis may improve RBF within a mean (±SD) follow-up of 35.1 ± 13.8 months. The calibration plot for the probability of 2-, 3-, and 4-year RBF showed optimal agreement between nomogram-predicted and actual observed probabilities.

CONCLUSIONS

Younger age of onset, female sex, higher HLA risk status, and a history of DKA were the main factors predicting long-term poor preserved β-cell function. Glycemic control could improve RBF during the course of diabetes. The nomogram provides an individualized risk estimate of RBF in patients with newly diagnosed T1D within Chinese Han populations.

Effect of early glycemic control on HbA1c tracking and development of vascular complications after 5 years of childhood onset type 1 diabetes: Systematic review and meta-analysis

OBJECTIVE

A systematic review and meta-analysis was conducted to investigate if glycemic control measured by glycated hemoglobin (HbA1c) levels near diagnosis are predictive of future glycemic outcomes and vascular complications in childhood onset type 1 diabetes (T1D).

METHODS

Evidence was gathered using electronic databases (MEDLINE, EMBASE, Web of Science, CINAHL, Scopus, and Cochrane Library up to February 2017) and snowballing techniques. Studies investigating the association between the exposure "early glycemic control" and main outcome: "tracking of early control" and secondary outcome: risk of future complications; in children and young people aged 0 to 19 years at baseline; were systematically double-reviewed, quality assessed, and outcome data extracted for synthesis and meta-analysis.

FINDINGS

Five studies (N = 4227 participants) were eligible. HbA1c levels were sub-optimal throughout the study period but tended to stabilize in a "track" by 6 months after T1D diagnosis. The group with low HbA1c <53 mmol/mol (<7%) at baseline had lower long-term HbA1c levels than the higher HbA1c group. The estimated standardized mean difference between the sub groups showed a reduction of HbA1c levels on average by 1.6% (range -0.95% to -2.28%) from baseline. Only one study investigated the association between early glycemic control and development of vascular complications in childhood onset T1D.

INTERPRETATIONS

Glycemic control after the first few months of childhood onset T1D, remains stable but sub-optimal for a decade. The low and high HbA1c levels at baseline seem to "track" in their respective tracks during the 10-year follow-up, however, the initial difference between groups narrows over time.

PROSPERO

CRD42015024546 http://www.crd.york.ac.uk/PROSPERO/display_record.asp?ID=CRD42015024546.

Diabetic ketoacidosis at diagnosis of type 1 diabetes and glycemic control over time: The SEARCH for diabetes in youth study

BACKGROUND

The diagnosis of type 1 diabetes (T1D) in youth is often associated with diabetic ketoacidosis (DKA). We aimed to evaluate if the presence of DKA at diagnosis of T1D is associated with less favorable hemoglobin A1c (HbA1c) trajectories over time.

METHODS

The SEARCH for Diabetes in Youth study of 1396 youth aged <20 years with newly diagnosed T1D were followed for up to 13 (median 8 [interquartile range or IQR 6-9]) years after diagnosis. Of these, 397 (28%) had DKA (bicarbonate level < 15 mmol/L and/or pH < 7.25 (venous) or < 7.30 (arterial or capillary) or mention of DKA in medical records) at diabetes onset. Longitudinal HbA1c levels were measured at each follow-up visit (average number of HbA1c measures 3.4). A linear piecewise mixed effects model was used to analyze the effect of DKA status at diagnosis of T1D on long-term glycemic control, adjusting for age at diagnosis, diabetes duration at baseline, sex, race/ethnicity, household income, health insurance status, time-varying insulin regimen and glucose self-monitoring, study site, and baseline fasting C-peptide level.

RESULTS

At baseline, HbA1c levels were significantly higher in youth with T1D diagnosed in DKA vs those who were not (9.9% ± 1.5% vs 8.5% ± 1.4%, respectively). After the first year with diabetes, there was a significant difference in the rate of change in HbA1c levels by DKA status: HbA1c was 0.16% higher each year in youth with DKA compared to those without (interaction P-value<0.0001), after adjusting for aforementioned covariates.

CONCLUSIONS

DKA at T1D diagnosis is associated with worsening glycemic control over time, independent of demographic, socioeconomic, and treatment-related factors and baseline fasting C-peptide.

Physiological factors influencing diabetes control in type 1 diabetes children with insulin pumps from diagnosis

BACKGROUND

The aim of this study was to identify the physiological factors influencing diabetes control in children with type 1 diabetes (T1D) using continuous subcutaneous insulin infusion (CSII) from diabetes diagnosis.

METHODS

This study focused on 163 children (81 boys) initiated with CSII within 2 weeks after T1D recognition and treated for at least 3 years. We analysed fasting C-peptide, GADA, ICA, IA2A, BMI z-score, total daily dose, and basal insulin. Patients were divided into groups according to their metabolic control: 7.5% > HbA1c ≥ 7.5% at the end of the study.

RESULTS

At the end of the follow-up, patients with HbA1c <7.5%, had a lower HbA1c level at diagnosis (11.7% vs 12.6%; P = 0.018), lower HbA1c level at both the first-year (6.7% vs 7.3%; P = 0.000) and the second-year (6.8% vs.7.7%; P = 0.000) follow-up, and a lower GADA level (P = 0.001). A multiple logistic regression analysis showed that HbA1c at diagnosis (P = 0.012), HbA1c at first year (P = 0.000), HbA1c at second year (P = 0.000), age at diagnosis (P = 0.047), GADA (P = 0.031), and basal insulin at third year (P = 0.032), influenced HbA1c <7.5% at the third year of follow-up. At the end of the study, 76% of patients started with CSII at the age <10 years and 49% of subjects initiated with CSII at the age ≥10 years achieved HbA1c ≤7.5%.

CONCLUSIONS

This study shows that for those who initiated CSII at T1D onset, younger age, less intense autoimmune process, a low HbA1c at recognition, and good diabetes control during the first year of treatment were associated with long-term optimal glycaemic control.

A systematic review of non-genetic predictors and genetic factors of glycated haemoglobin in type 1 diabetes one year after diagnosis

Type 1 diabetes (T1D) results from autoimmune destruction of the pancreatic βcells. Although all T1D patients require daily administration of exogenous insulin, their insulin requirement to achieve good glycaemic control may vary significantly. Glycated haemoglobin (HbA1c) level represents a stable indicator of glycaemic control and is a reliable predictor of long-term complications of T1D. The purpose of this article is to systematically review the role of non-genetic predictors and genetic factors of HbA1c level in T1D patients after the first year of T1D, to exclude the honeymoon period. A total of 1974 articles published since January 2011 were identified and 78 were finally included in the analysis of non-genetic predictors. For genetic factors, a total of 277 articles were identified and 14 were included. The most significantly associated factors with HbA1c level are demographic (age, ethnicity, and socioeconomic status), personal (family characteristics, parental care, psychological traits...) and features related to T1D (duration of T1D, adherence to treatment …). Only a few studies have searched for genetic factors influencing HbA1c level, most of which focused on candidate genes using classical genetic statistical methods, with generally limited power and incomplete adjustment for confounding factors and multiple testing. Our review shows the complexity of explaining HbA1c level variations, which involves numerous correlated predictors. Overall, our review underlines the lack of studies investigating jointly genetic and non-genetic factors and their interactions to better understand factors influencing glycaemic control for T1D patients.

Racial/Ethnic Minority Youth With Recent-Onset Type 1 Diabetes Have Poor Prognostic Factors

OBJECTIVE

To compare races/ethnicities for characteristics, at type 1 diabetes diagnosis and during the first 3 years postdiagnosis, known to influence long-term health outcomes.

RESEARCH DESIGN AND METHODS

We analyzed 927 Pediatric Diabetes Consortium (PDC) participants <19 years old (631 non-Hispanic white [NHW], 216 Hispanic, and 80 African American [AA]) diagnosed with type 1 diabetes and followed for a median of 3.0 years (interquartile range 2.2-3.6). Demographic and clinical data were collected from medical records and patient/parent interviews. Partial remission period or "honeymoon" was defined as insulin dose-adjusted hemoglobin A_1c (IDAA1c) ≤9.0%. We used logistic, linear, and multinomial regression models, as well as repeated-measures logistic and linear regression models. Models were adjusted for known confounders.

RESULTS

AA subjects, compared with NHW, at diagnosis, were in a higher age- and sex-adjusted BMI percentile (BMI%), had more advanced pubertal development, and had higher frequency of presentation in diabetic ketoacidosis, largely explained by socioeconomic factors. During the first 3 years, AA subjects were more likely to have hypertension and severe hypoglycemia events; had trajectories with higher hemoglobin A_1c, BMI%, insulin doses, and IDAA1c; and were less likely to enter the partial remission period. Hispanics, compared with NHWs, had higher BMI% at diagnosis and over the three subsequent years. During the 3 years postdiagnosis, Hispanics had higher prevalence of dyslipidemia and maintained trajectories of higher insulin doses and IDAA1c.

CONCLUSIONS

Youth of minority race/ethnicity have increased markers of poor prognosis of type 1 diabetes at diagnosis and 3 years postdiagnosis, possibly contributing to higher risk of long-term diabetes complications compared with NHWs.

Prevalence and clinical presentation at the onset of type 1 diabetes mellitus among children and adolescents in AL-Baha region, Saudi Arabia

BACKGROUND

The objectives were to describe the frequency of clinical presentation at the onset of type 1 diabetes mellitus (T1DM) and to estimate the prevalence of T1DM among children and adolescents in the AL-Baha region, Saudi Arabia, aiming for early diagnosis of T1DM.

METHODS

The clinical and laboratory data of 471 children and adolescents who presented with T1DM and received medical care at an AL-Baha diabetic center during the period from 2007 to 2016 were retrospectively analyzed based on the records.

RESULTS

The prevalence of T1DM in the AL-Baha region was 355 per 100,000 population in participants aged from 0 to 19 years. T1DM was more common among girls than boys (57.5% vs. 42.5%, respectively; p=0.3), and the female/male ratio was 1.36 in favor of girls. Hyperglycemic symptoms were the most frequent symptoms at presentation [59.2% vs. 40.8% with diabetic ketoacidosis (DKA)], and 37% of them presented with loss of weight. Most of the ketoacidosis was mild to moderate (80.2%), while only 19.8% of children had the severe type and DKA was more common (55.2%) among females. The mean age at diagnosis of T1DM was 8.2±3.5 years for all patients, and 8.3±3.9 and 8.9±3.6 years for boys and girls, respectively (p=0.06). Hyperglycemic symptoms were more common in spring (15.9%).

CONCLUSIONS

The prevalence of type 1 diabetes in the AL-Baha region was 355 per 100,000 population, which is one of the highest reported prevalences in this age group. Hyperglycemic symptoms were the most encountered symptoms at the onset of the presentation of T1DM and this may help in early detection of diabetic symptoms by patients and physicians to avoid the more severe types of presentation.

Ketoacidosis at onset of type 1 diabetes is a predictor of long-term glycemic control

BACKGROUND

Few studies have evaluated the impact of diabetic ketoacidosis (DKA) at diabetes onset on long-term glycemic control in patients with type 1 diabetes (T1D).

OBJECTIVE

We aimed to determine any differences in long-term glycemic control between children/adolescents with T1D presenting with DKA at diabetes onset and those without.

METHODS

This retrospective study comprised 335 patients diagnosed with T1D from September 2007 to December 2012, among which 132 (39.4%) presented with DKA. Variables compared between patients with DKA at onset and those without: yearly hemoglobin A1c (HbA1c) levels, daily insulin dose, yearly rates of severe hypoglycemia and DKA, percent of patients achieving target HbA1c levels.

RESULTS

After the first year of diabetes, the mean daily insulin dose and HbA1c level were significantly higher in the group with DKA at onset (0.74 ± 0.26 vs 0.69 ± 0.27 units/kg/d, P = .049, and 7.85 ± 1.13% vs 7.49 ± 0.94%, P = .01, respectively), despite similarity of therapy (multiple daily injections or continuous subcutaneous insulin infusion), with a similar but not statistically significant trend subsequently. Mean HbA1c since onset was significantly higher in the DKA group (8.08 ± 0.95% vs 7.86 ± 0.95%, P = .025). A significantly higher percentage of patients in the group without DKA at onset achieved a mean level of HbA1c since onset within glycemic targets (32% vs 20.5%, P = .02). In the DKA group, the frequency of subsequent DKA episodes per diabetes years was significantly higher (P = .042).

CONCLUSIONS

DKA at diagnosis was associated with less favorable long-term glycemic control as assessed by HbA1c and the rate of DKA episodes. T1D patients presenting with DKA may therefore need stricter treatment and tight follow-up.

High incidence of diabetic ketoacidosis at diagnosis of type 1 diabetes among Polish children aged 10-12 and under 5 years of age: A multicenter study

AIM

Despite its characteristic symptoms, type 1 diabetes (T1D) is still diagnosed late causing the development of diabetic ketoacidosis (DKA). The aim of this study was to estimate the incidence of DKA and factors associated with the development of acidosis at T1D recognition in Polish children aged 0-17.

METHODS

The study population consisted of 2100 children with newly diagnosed T1D in the years 2010-2014 in 7 hospitals in eastern and central Poland. The population living in these areas accounts for 35% of the Polish population. DKA was defined as a capillary pH < 7.3, blood glucose > 11 mmol/L. The analyzed data included age, sex, diabetes recognition, pH, glycated hemoglobin (HbA1c), fasting C-peptide, and body mass index standard deviation score (BMI-SDS).

RESULTS

We observed DKA in 28.6% of children. There were 2 peaks in DKA occurrence: in children <5 years of age (33.9%) and aged 10-12 (34%). The highest incidence of DKA was noted in children aged 0-2 (48.4%). In the group with DKA, moderate and severe DKA occurred in 46.7% of children. Girls and children <2 years of age were more prone to severe DKA. The multiple logistic regression analysis showed the following factors associated with DKA: age (P = .002), fasting C-peptide (P = .0001), HbA1c (P = .0001), no family history of T1D (P = .0001), and BMI-SDS (P = .0001).

CONCLUSIONS

The incidence of DKA is high and remained unchanged over the last 5 years. Increasing the awareness of symptoms of DKA is recommended among children <5 years of age (especially <2 years of age) and aged 10-12. Children <2 years of age and girls were at the highest risk of severe DKA.

Diabetic Ketoacidosis at Diagnosis of Type 1 Diabetes Predicts Poor Long-term Glycemic Control

OBJECTIVE

This study tested the hypothesis that diabetic ketoacidosis (DKA) at diagnosis of type 1 diabetes in children predicts poor long-term glycemic control independently of established risk factors.

RESEARCH DESIGN AND METHODS

This was a prospective cohort study of 3,364 Colorado residents diagnosed with type 1 diabetes before 18 years of age, in 1998-2012, and monitored for up to 15 years. Of those, 1,297 (39%) had DKA at diagnosis (blood glucose >250 mg/dL, and venous pH <7.3 or bicarbonate <15 mEq/L). Severity of DKA was further classified as mild/moderate (pH 7.10-7.29 or bicarbonate 5-14 mEq/L) or severe (pH <7.10 or bicarbonate <5 mEq/L). HbA_1c levels were measured an average of 2.8 times/year (median 20 HbA_1c values/patient). A linear mixed model was used to examine the effect of DKA on long-term HbA_1c levels, adjusting for age, race/ethnicity, sex, family history of diabetes, health insurance, and insulin pump use.

RESULTS

DKA at diagnosis predicted persistently elevated HbA_1c levels. Compared with children without DKA, HbA_1c tracked 1.4% (15.3 mmol/mol) higher in those with severe DKA (P < 0.0001) and 0.9% (9.8 mmol/mol) higher in those with mild/moderate DKA at diagnosis (P < 0.0001). These effects were independent of ethnic minority status or lack of health insurance at diagnosis that predicted higher HbA_1c by 0.5% (5.5 mmol/mol; P < 0.0001) and 0.2% (2.2 mmol/mol; P < 0.0001), respectively. Insulin pump use or having a parent or sibling with type 1 diabetes predicted lower long-term HbA_1c by, respectively, 0.4% (4.4 mmol/mol; P < 0.0001) and 0.2% (2.2 mmol/mol; P = 0.01).

CONCLUSIONS

DKA at diagnosis of type 1 diabetes in children predicts poor long-term glycemic control, independent of demographic and socioeconomic factors.

Recognizing type 1 diabetes mellitus in children & adolescents

The common chief complaint of abdominal pain, nausea, and vomiting should prompt a broad differential diagnosis list. When a 17-year-old previously healthy male presented to a primary care clinic with these symptoms, it provoked a detailed workup and found a startling diagnosis of type 1 diabetes mellitus (T1DM). This article provides an overview of recognizing T1DM in children and adolescents with a thorough and diagnostic evaluation.

HbA1c as a Screening tool for Ketosis in Patients with Type 2 Diabetes Mellitus

Ketosis in patients with type 2 diabetes mellitus (T2DM) is overlooked due to atypical symptoms. The objective of this study is to evaluate the value of hemoglobin A_1c (HbA_1c) as a screening tool for ketosis in T2DM patients. This retrospective study consisted of 253 T2DM patients with ketosis at Shanghai 10th People’s Hospital during a period from January 1, 2011 to June 30, 2015. A control group consisted of 221 T2DM patients without ketosis randomly selected from inpatients during the same period. Receiver operating characteristic curve (ROC) analysis was used to examine the sensitivity and specificity of HbA_1c as an indicator for ketosis. Higher HbA_1c levels were correlated with ketosis. In patients with newly diagnosed T2DM, the area under the curve (AUC) was 0.832, with 95% confidence interval (CI) 0.754–0.911. The optimal threshold was 10.1% (87 mmol/mol). In patients with previously diagnosed T2DM, the AUC was 0.811 (95% CI: 0.767–0.856), with an optimal threshold of 8.6% (70 mmol/mol). HbA_1c is a potential screening tool for ketosis in patients with T2DM. Ketosis is much more likely with HbA_1c values at ≥10.1% in patients with newly diagnosed T2DM and HbA_1c values at ≥8.6% in patients with previously diagnosed T2DM.

High frequency of diabetic ketoacidosis at diagnosis of type 1 diabetes in Italian children: a nationwide longitudinal study, 2004-2013

This longitudinal population-based study analyses the frequency of diabetic ketoacidosis (DKA) at type 1 diabetes diagnosis in Italian children under 15 years of age, during 2004-2013. DKA was defined as absent (pH ≥ 7.30), mild/moderate (7.1 ≤ pH < 7.30) and severe (pH < 7.1). Two multiple logistic regression models were used to evaluate the time trend of DKA frequency considered as present versus absent and severe versus absent, adjusted for gender, age group and geographical area of residence at diagnosis. Overall, 9,040 cases were ascertained. DKA frequency was 40.3% (95%CI: 39.3-41.4%), with 29.1% and 11.2% for mild/moderate and severe DKA, respectively. Severe DKA increased significantly during the period (OR = 1.03, 95%CI: 1.003-1.05). Younger-age children and children living in Southern Italy compared to Central Italy were at significantly higher risk of DKA and severe DKA. Family history of type 1 diabetes and residence in Sardinia compared to Central Italy were significantly associated with a lower probability of DKA and severe DKA. The high frequency of ketoacidosis in Italy over time and high variability among age groups and geographical area of residence, strongly suggests a continuing need for nationwide healthcare strategies to increase awareness of early detection of diabetes.

Demographic and clinical characteristics of patients with type 1 diabetes mellitus: A multicenter registry study in Guangdong, China

BACKGROUND

A lack of demographic and clinical data hinders efforts of health care providers in China to support patients with type 1 diabetes mellitus (T1D). Therefore, the aim of the present retrospective study was to provide an overview of the demographic and clinical characteristics of Chinese patients with T1D.

METHODS

Hospital medical records of patients with T1D (diagnosed between January 2000 and December 2011) in 105 secondary and tertiary hospitals across Guangdong province were reviewed. Data were collected on patient age at diagnosis, presentations at onset, physical examination, and diabetes management.

RESULTS

In all, 3173 patients diagnosed with T1D between January 2000 and December 2011 were included in the study (46.2% female). The median age at diagnosis was 27.5 years (interquartile range [IQR] 18.0-38.0) years and the median body mass index (BMI) at onset was 19.6 kg/m² (IQR 17.4-21.8 kg/m² ). Among adult patients, 0.9% were obese, 6.6% were overweight, 62.3% were normal weight, and 30.3 % were underweight. The prevalence of diabetic ketoacidosis (DKA) at onset was 50.1%. The proportion of patients with retinopathy, nephropathy, and neuropathy was 8.1%, 20.7 %, and 11.1%, respectively.

CONCLUSION

The adult-onset form of T1D is not rare in China. The registry participants were characterized by older age at onset, lower BMI, and a higher prevalence of DKA at onset compared with those in regions with a high incidence of T1D, such as northern Europe. These findings contribute to a better understanding of the heterogeneity of T1D in different populations and so will help healthcare providers to develop management models that are more suitable for these patients.