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Aims: To conduct a systematic review and meta-analysis, within the Coordinating Research and Evidence for Medical Devices (CORE-MD) project, evaluating CE-marked high-risk devices for glucose management., Materials and Methods: We identified interventional and observational studies evaluating the efficacy and safety of eight automated insulin delivery (AID) systems, two implantable insulin pumps, and three implantable continuous glucose monitoring (CGM) devices. We meta-analysed randomized controlled trials (RCTs) comparing AID systems with other treatments., Results: A total of 182 studies published between 2009 and 2024 were included, comprising 166 studies on AID systems, six on insulin pumps, and 10 on CGM devices; 26% reported industry funding; 18% were pre-market; 37% had a comparator group. Of the studies identified, 29% were RCTs, 24% were non-randomized trials, and 47% were observational studies. The median (interquartile range) sample size was 48 (28-102), age 34.8 (14-44.2) years, and study duration 17.5 (12-26) weeks. AID systems lowered glycated haemoglobin by 0.5 percentage points (absolute mean difference [MD] = -0.5; 21 RCTs; I 2  = 86%) and increased time in target range for sensor glucose level by 13.4 percentage points (MD = 13.4; 14 RCTs; I 2  = 90%). At least one safety outcome was assessed in 71% of studies., Conclusions: High-risk devices for glucose monitoring or insulin dosing, in particular AID systems, improve glucose control safely, but evidence on diabetes-related end-organ damage is lacking due to short study durations. Methodological heterogeneity highlights the need for developing standards for future pre- and post-market investigations of diabetes-specific high-risk medical devices., (© 2024 The Author(s). Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

Aim: To evaluate the relationship between breath volatile organic compounds (VOCs) and glycaemic states in individuals with type 1 diabetes (T1D), focusing on identifying specific VOCs as biomarkers for hypoglycaemia to offer a non-invasive diabetes-monitoring method., Materials and Methods: Ten individuals with T1D underwent induced hypoglycaemia in a clinical setting. Breath samples, collected every 10-15 minutes, were analysed using gas chromatography-ion mobility spectrometry (GC-IMS). Correlation analysis and machine learning models, including Partial Least Squares Discriminant Analysis (PLS-DA) and Support Vector Machine classifiers, were used to classify glycaemic states based on VOC profiles., Results: Statistical analysis revealed moderate correlations between specific VOCs (e.g. isoprene, acetone) and venous blood glucose levels. Machine learning models showed high accuracy in classifying glycaemic states, with the best performance achieved by a two-class PLS-DA model showing an accuracy of 93%, sensitivity of 92% and specificity of 94%. Key biomarkers identified included isoprene, acetone, 2-butanone, methanol, ethanol, 2-propanol and 2-pentanone., Conclusions: This study shows the potential of breath VOCs to accurately classify glycaemic states in individuals with T1D. While key biomarkers such as isoprene, acetone and 2-butanone were identified, the analysis emphasizes the importance of using overall VOC patterns rather than individual compounds, which can be markers for multiple conditions. Machine learning models leveraging these patterns achieved high accuracy, sensitivity and specificity. These findings suggest that breath analysis using GC-IMS could be a viable non-invasive method for monitoring glycaemic states and managing diabetes., (© 2024 The Author(s). Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

Aim: The transition to the ICD-10-CM coding system has reduced the utility of hypoglycaemia algorithms based on ICD-9-CM diagnosis codes in real-world studies of antidiabetic drugs. We mapped a validated ICD-9-CM hypoglycaemia algorithm to ICD-10-CM codes to create an ICD-10-CM hypoglycaemia algorithm and assessed its performance in identifying severe hypoglycaemia., Materials and Methods: We assembled a cohort of Medicare patients with DM and linked electronic health record (EHR) data to the University of North Carolina Health System and identified candidate severe hypoglycaemia events from their Medicare claims using the ICD-10-CM hypoglycaemia algorithm. We confirmed severe hypoglycaemia by EHR review and computed a positive predictive value (PPV) of the algorithm to assess its performance. We refined the algorithm by removing poor performing codes (PPV ≤0.5) and computed a Cohen's κ statistic to evaluate the agreement of the EHR reviews., Results: The algorithm identified 642 candidate severe hypoglycaemia events, and we confirmed 455 as true severe hypoglycaemia events, PPV of 0.709 (95% confidence interval: 0.672, 0.744). When we refined the algorithm, the PPV increased to 0.893 (0.862, 0.918) and missed <2.42% (<11) true severe hypoglycaemia events. Agreement between reviewers was high, κ  = 0.93 (0.89, 0.97)., Conclusions: We translated an ICD-9-CM hypoglycaemia algorithm to an ICD-10-CM version and found its performance was modest. The performance of the algorithm improved by removing poor performing codes at the trade-off of missing very few severe hypoglycaemia events. The algorithm has the potential to be used to identify severe hypoglycaemia in real-world studies of antidiabetic drugs., (© 2024 John Wiley & Sons Ltd.)

Post-bariatric hypoglycaemia (PBH) is a metabolic complication of bariatric surgery (BS), consisting of low post-prandial glucose levels in patients having undergone bariatric procedures. While BS is currently the most effective and relatively safe treatment for obesity and its complications, the development of PBH can significantly impact patients' quality of life and mental health. The diagnosis of PBH is still challenging, considering the lack of definitive and reliable diagnostic tools, and the fact that this condition is frequently asymptomatic. However, PBH's prevalence is alarming, involving up to 88% of the post-bariatric population, depending on the diagnostic tool, and this may be underestimated. Given the prevalence of obesity soaring, and an increasing number of bariatric procedures being performed, it is crucial that physicians are skilled to diagnose PBH and promptly treat patients suffering from it. While the milestone of managing this condition is nutritional therapy, growing evidence suggests that old and new pharmacological approaches may be adopted as adjunct therapies for managing this complex condition., (© 2023 The Authors. Diabetes/Metabolism Research and Reviews published by John Wiley & Sons Ltd.)

Aim: To determine whether continuous glucose monitoring (CGM) can reduce hypoglycaemia in patients with post-bariatric hypoglycaemia (PBH)., Materials and Methods: In an open-label, nonrandomized, pre-post design with sequential assignment, CGM data were collected in 22 individuals with PBH in two sequential phases: (i) masked (no access to sensor glucose or alarms); and (ii) unmasked (access to sensor glucose and alarms for low or rapidly declining sensor glucose). Twelve participants wore the Dexcom G4 device for a total of 28 days, while 10 wore the Dexcom G6 device for a total of 20 days., Results: Participants with PBH spent a lower percentage of time in hypoglycaemia over 24 hours with unmasked versus masked CGM (<3.3 mM/L, or <60 mg/dL: median [median absolute deviation {MAD}] 0.7 [0.8]% vs. 1.4 [1.7]%, P = 0.03; <3.9 mM/L, or <70 mg/dL: median [MAD] 2.9 [2.5]% vs. 4.7 [4.8]%; P = 0.04), with similar trends overnight. Sensor glucose data from the unmasked phase showed a greater percentage of time spent between 3.9 and 10 mM/L (70-180 mg/dL) (median [MAD] 94.8 [3.9]% vs. 90.8 [5.2]%; P = 0.004) and lower glycaemic variability over 24 hours (median [MAD] mean amplitude of glycaemic excursion 4.1 [0.98] vs. 4.4 [0.99] mM/L; P = 0.04). During the day, participants also spent a greater percentage of time in normoglycaemia with unmasked CGM (median [MAD] 94.2 [4.8]% vs. 90.9 [6.2]%; P = 0.005), largely due to a reduction in hyperglycaemia (>10 mM/L, or 180 mg/dL: median [MAD] 1.9 [2.2]% vs. 3.9 [3.6]%; P = 0.02)., Conclusions: Real-time CGM data and alarms are associated with reductions in low sensor glucose, elevated sensor glucose, and glycaemic variability. This suggests CGM allows patients to detect hyperglycaemic peaks and imminent hypoglycaemia, allowing dietary modification and self-treatment to reduce hypoglycaemia. The use of CGM devices may improve safety in PBH, particularly for patients with hypoglycaemia unawareness., (© 2023 John Wiley & Sons Ltd.)

Aim: To develop and evaluate the concept of a non-invasive machine learning (ML) approach for detecting hypoglycaemia based exclusively on combined driving (CAN) and eye tracking (ET) data., Materials and Methods: We first developed and tested our ML approach in pronounced hypoglycaemia, and then we applied it to mild hypoglycaemia to evaluate its early warning potential. For this, we conducted two consecutive, interventional studies in individuals with type 1 diabetes. In study 1 (n = 18), we collected CAN and ET data in a driving simulator during euglycaemia and pronounced hypoglycaemia (blood glucose [BG] 2.0-2.5 mmol L -1 ). In study 2 (n = 9), we collected CAN and ET data in the same simulator but in euglycaemia and mild hypoglycaemia (BG 3.0-3.5 mmol L -1 )., Results: Here, we show that our ML approach detects pronounced and mild hypoglycaemia with high accuracy (area under the receiver operating characteristics curve 0.88 ± 0.10 and 0.83 ± 0.11, respectively)., Conclusions: Our findings suggest that an ML approach based on CAN and ET data, exclusively, enables detection of hypoglycaemia while driving. This provides a promising concept for alternative and non-invasive detection of hypoglycaemia., (© 2023 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

The main objective of diabetes control is to correct hyperglycaemia while avoiding hypoglycaemia, especially in insulin-treated patients. Fear of hypoglycaemia is a hurdle to effective correction of hyperglycaemia because it promotes under-dosing of insulin. Strategies to minimise hypoglycaemia include education and training for improved hypoglycaemia awareness and the development of technologies to allow their early detection and thus minimise their occurrence. Patients with impaired hypoglycaemia awareness would benefit the most from these technologies. The purpose of this systematic review is to review currently available or in-development technologies that support detection of hypoglycaemia or hypoglycaemia risk, and identify gaps in the research. Nanomaterial use in sensors is a promising strategy to increase the accuracy of continuous glucose monitoring devices for low glucose values. Hypoglycaemia is associated with changes on vital signs, so electrocardiogram and encephalogram could also be used to detect hypoglycaemia. Accuracy improvements through multivariable measures can make already marketed galvanic skin response devices a good noninvasive alternative. Breath volatile organic compounds can be detected by dogs and devices and alert patients at hypoglycaemia onset, while near-infrared spectroscopy can also be used as a hypoglycaemia alarms. Finally, one of the main directions of research are deep learning algorithms to analyse continuous glucose monitoring data and provide earlier and more accurate prediction of hypoglycaemia. Current developments for early identification of hypoglycaemia risk combine improvements of available 'needle-type' enzymatic glucose sensors and noninvasive alternatives. Patient usability will be essential to demonstrate to allow their implementation for daily use in diabetes management., (© 2021 The Authors. Diabetes/Metabolism Research and Reviews published by John Wiley & Sons Ltd.)

Idiopathic ketotic hypoglycemia (IKH) is a diagnosis of exclusion with glycogen storage diseases (GSDs) as a differential diagnosis. GSD IXa presents with ketotic hypoglycemia (KH), hepatomegaly, and growth retardation due to PHKA2 variants. In our multicenter study, 12 children from eight families were diagnosed or suspected of IKH. Whole-exome sequencing or targeted next-generation sequencing panels were performed. We identified two known and three novel (likely) pathogenic PHKA2 variants, such as p.(Pro869Arg), p.(Pro498Leu), p.(Arg2Gly), p.(Arg860Trp), and p.(Val135Leu), respectively. Erythrocyte phosphorylase kinase activity in three patients with the novel variants p.(Arg2Gly) and p.(Arg860Trp) were 15%-20% of mean normal. One patient had short stature and intermittent mildly elevated aspartate aminotransferase, but no hepatomegaly. Family testing identified two asymptomatic children and 18 adult family members with one of the PHKA2 variants, of which 10 had KH symptoms in childhood and 8 had mild symptoms in adulthood. Our study expands the classical GSD IXa phenotype of PHKA2 missense variants to a continuum from seemingly asymptomatic carriers, over KH-only with phosphorylase B kinase deficiency, to more or less complete classical GSD IXa. In contrast to typical IKH, which is confined to young children, KH may persist into adulthood in the KH-only phenotype of PHKA2., (© 2021 The Authors. American Journal of Medical Genetics Part A published by Wiley Periodicals LLC.)

Aim: To predict the risk of hypoglycaemia using machine-learning techniques in hospitalized patients., Methods: We conducted a retrospective cohort study of patients hospitalized under general internal medicine (GIM) and cardiovascular surgery (CV) at a tertiary care teaching hospital in Toronto, Ontario. Three models were generated using supervised machine learning: least absolute shrinkage and selection operator (LASSO) logistic regression; gradient-boosted trees; and a recurrent neural network. Each model included baseline patient data and time-varying data. Natural-language processing was used to incorporate text data from physician and nursing notes., Results: We included 8492 GIM admissions and 8044 CV admissions. Hypoglycaemia occurred in 16% of GIM admissions and 13% of CV admissions. The area under the curve for the models in the held-out validation set was approximately 0.80 on the GIM ward and 0.82 on the CV ward. When the threshold for hypoglycaemia was lowered to 2.9 mmol/L (52 mg/dL), similar results were observed. Among the patients at the highest decile of risk, the positive predictive value was approximately 50% and the sensitivity was 99%., Conclusion: Machine-learning approaches can accurately identify patients at high risk of hypoglycaemia in hospital. Future work will involve evaluating whether implementing this model with targeted clinical interventions can improve clinical outcomes., (© 2021 John Wiley & Sons Ltd.)

Introduction: In primary care, identifying patients with type 2 diabetes (T2D) who are at increased risk of hypoglycaemia is important for the prevention of hypoglycaemic events. We aimed to develop a screening tool based on machine learning to identify such patients using routinely available demographic and medication data., Methods: We used a cohort study design and the Groningen Initiative to ANalyse Type 2 diabetes Treatment (GIANTT) medical record database to develop models for hypoglycaemia risk. The first hypoglycaemic event in the observation period (2007-2013) was the outcome. Demographic and medication data were used as predictor variables to train machine learning models. The performance of the models was compared with a model using additional clinical data using fivefold cross validation with the area under the receiver operator characteristic curve (AUC) as a metric., Results: We included 13,876 T2D patients. The best performing model including only demographic and medication data was logistic regression with least absolute shrinkage and selection operator, with an AUC of 0.71. Ten variables were included (odds ratio): male gender (0.997), age (0.990), total drug count (1.012), glucose-lowering drug count (1.039), sulfonylurea use (1.62), insulin use (1.769), pre-mixed insulin use (1.109), insulin count (1.827), insulin duration (1.193), and antidepressant use (1.05). The proposed model obtained a similar performance to the model using additional clinical data., Conclusion: Using demographic and medication data, a model for identifying patients at increased risk of hypoglycaemia was developed using machine learning. This model can be used as a tool in primary care to screen for patients with T2D who may need additional attention to prevent or reduce hypoglycaemic events., (© 2021 The Authors. Diabetes/Metabolism Research and Reviews published by John Wiley & Sons Ltd.)

Genetic diseases are a major cause of neonatal morbidity and mortality. The clinical differential diagnosis in severely ill neonates, especially in premature infants, is challenging. Next generation sequencing (NGS) diagnostics is a valuable tool, but the turnaround time is often too long to provide a diagnosis in the time needed for clinical guidance in newborn intensive care units (NICU). To minimize turnaround time, we developed an ultra-rapid whole genome sequencing pipeline and tested it in clinical practice. Our pilot case, was a preterm infant presenting with several crises of dehydration, hypoglycaemia and hyponatremia together with nephrocalcinosis and hypertrophic cardiomyopathy. Whole genome sequencing was performed using a paired-end 2x75bp protocol. Sequencing data were exported after 50 sequencing cycles for a first analysis. After run completion, the rapid-sequencing protocol, a second analysis of the 2 x 75 paired-end run was performed. Both analyses comprised read-mapping and SNP-/indel calling on an on-site Edico Genome DRAGEN server, followed by functional annotation and pathogenicity prediction using in-house scripts. After the first analysis within 17 h, the emergency ultra-rapid protocol identified two novel compound heterozygous variants in the insulin receptor gene (INSR), pathogenic variants in which cause Donohue Syndrome. The genetic diagnosis could be confirmed by detection of hyperinsulinism and patient care adjusted. Nonetheless, we decided to pursue RNA studies, proving the functional effect of the novel splice variant and reduced expression levels of INSR in patients skin fibroblasts., (© 2020 The Authors. American Journal of Medical Genetics Part A published by Wiley Periodicals LLC.)

This study was designed to improve blood glucose level predictability and future hypoglycemic and hyperglycemic event alerts through a novel patient-specific supervised-machine-learning (SML) analysis of glucose level based on a continuous-glucose-monitoring system (CGM) that needs no human intervention, and minimises false-positive alerts. The CGM data over 7 to 50 non-consecutive days from 11 type-1 diabetic patients aged 18 to 39 with a mean HbA1C of 7.5% ± 1.2% were analysed using four SML models. The algorithm was constructed to choose the best-fit model for each patient. Several statistical parameters were calculated to aggregate the magnitudes of the prediction errors. The personalised solutions provided by the algorithm were effective in predicting glucose levels 30 minutes after the last measurement. The average root-mean-square-error was 20.48 mg/dL and the average absolute-mean-error was 15.36 mg/dL when the best-fit model was selected for each patient. Using the best-fit-model, the true-positive-hypoglycemia-prediction-rate was 64%, whereas the false-positive- rate was 4.0%, and the false-negative-rate was 0.015%. Similar results were found even when only CGM samples below 70 were considered. The true-positive-hyperglycemia-prediction-rate was 61%. State-of-the-art SML tools are effective in predicting the glucose level values of patients with type-1diabetes and notifying these patients of future hypoglycemic and hyperglycemic events, thus improving glycemic control. The algorithm can be used to improve the calculation of the basal insulin rate and bolus insulin, and suitable for a closed loop "artificial pancreas" system. The algorithm provides a personalised medical solution that can successfully identify the best-fit method for each patient., (© 2020 John Wiley & Sons Ltd.)

Objective: To evaluate the glucose and insulin profiles during an oral glucose tolerance test (OGTT) after Roux-en-Y gastric bypass (RYGB) in symptomatic and asymptomatic patients., Research Design and Methods: This retrospective study consisted of two groups that had undergone RYGB. The symptomatic (S) group (n = 27) had an OGTT at presentation, whereas the asymptomatic (A) group (n = 99) had an OGTT 1 year after RYGB. Each group was subdivided into two groups, namely, those with glycaemia <54 mg/dL (S1/A1) and those with glycaemia >54 mg/dL (S2/A2) during OGTT. Most of the patients underwent OGTT preoperatively., Results: Preoperatively, the glucose and insulin levels, as well as the speed of increase and decrease, were similar in all groups. Postoperatively, the minimum glucose levels during the OGTT did not differ between the symptomatic and asymptomatic groups (55 ± 19 vs. 54 ± 17 mg/dL) or between the S1 and A1 subgroups (39 ± 7 vs. 43 ± 8 mg/dL). The peak glucose values were higher in the symptomatic versus the asymptomatic group (236 ± 52 vs. 189 ± 43 mg/dL; P <0.05) and in the S1 and S2 versus the A1 and A2 subgroups. The speed of glucose increase and decline was significantly higher in the symptomatic group versus the asymptomatic group, with the speed of glucose decline being the highest in the S1 subgroup., Conclusion: Assessing hypoglycaemia after a gastric bypass remains challenging. Our study suggests that the main difference in glucose dynamics between symptomatic and asymptomatic patients might be the speed of glucose and insulin increase and decline during OGTT rather than the absolute values obtained., (© 2020 John Wiley & Sons Ltd.)

To compare the performance of a professional continuous glucose monitoring (proCGM) and a personal continuous glucose monitoring (persCGM) system worn in parallel under standardized conditions in individuals with type 1 diabetes (T1D), two CGM systems (iPro2 - proCGM; Minimed 640G - persCGM) worn in parallel using the same sensor (Enlite 2) were compared. Ten people with T1D were included in this single-centre, open-label study in which CGM performance was evaluated. The study consisted of a 24-hours inpatient phase (meals, exercise, glycaemic challenges) and a 4-day home phase. Analyses included fulfilment of ISO 15197:2013 criteria, mean absolute relative difference (MARD), Parkes Error Grid and Bland-Altman plots. During the inpatient stay, ISO 15197:2013 criteria fulfilment was 58.4% (proCGM) and 57.8% (persCGM). At home, the systems met ISO 15197:2013 criteria by 66.5% (proCGM) and 65.3% (persCGM). No difference of MARD in inpatient phase (19.1 ± 16.7% vs. 19.0 ± 19.6; P = 0.83) and home phase (18.6 ± 26.8% vs. 17.4 ± 21.3%, P = 0.87) was observed. All sensors performed less accurately during hypoglycaemia. ProCGM and persCGM showed similar performance during daytime and night-time for the inpatient and the home phase. However, sensor performance was reduced during hypoglycaemia for both systems., (© 2018 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

Aims: To investigate the association between day-to-day fasting self-monitored blood glucose (SMBG) variability and risk of hypoglycaemia in type 1 (T1D) and type 2 diabetes (T2D), and to compare day-to-day fasting SMBG variability between treatments with insulin degludec (degludec) and insulin glargine 100 units/mL (glargine U100)., Materials and Methods: Data were retrieved from two double-blind, randomized, treat-to-target, two-period (32 weeks each) crossover trials of degludec vs glargine U100 in T1D (SWITCH 1, n = 501) and T2D (SWITCH 2, n = 720). Available fasting SMBGs were used to determine the standard deviation (SD) of day-to-day fasting SMBG variability for each patient and the treatment combination. The association between day-to-day fasting SMBG variability and overall symptomatic, nocturnal symptomatic and severe hypoglycaemia was analysed for the pooled population using linear regression, with fasting SMBG variability included as a three-level factor defined by population tertiles. Finally, day-to-day fasting SMBG variability was compared between treatments., Results: Linear regression showed that day-to-day fasting SMBG variability was significantly associated with overall symptomatic, nocturnal symptomatic and severe hypoglycaemia risk in T1D and T2D (P < 0.05). Day-to-day fasting SMBG variability was significantly associated (P < 0.01) with all categories of hypoglycaemia risk, with the exception of severe hypoglycaemia in T2D when analysed within tertiles. Degludec was associated with 4% lower day-to-day fasting SMBG variability than glargine U100 in T1D (P = 0.0082) and with 10% lower day-to-day fasting SMBG variability in T2D (P < 0.0001)., Conclusions: Higher day-to-day fasting SMBG variability is associated with an increased risk of overall symptomatic, nocturnal symptomatic and severe hypoglycaemia. Degludec has significantly lower day-to-day fasting SMBG variability vs glargine U100., (© 2018 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

Basal insulin therapy often involves a compromise between achievement of glycaemic targets and avoidance of hypoglycaemia, dependent on how intensively insulin is titrated. In the Phase 3a EDITION 1, 2 and 3 studies, insulin glargine 300 U/mL (Gla-300) provided glycaemic control equivalent to that of insulin glargine 100 U/mL (Gla-100), with less hypoglycaemia in individuals with type 2 diabetes mellitus (T2DM). The current study evaluated the rates of confirmed (≤3.9 mmol/L [≤70 mg/dL]) or severe hypoglycaemia over six months of treatment with Gla-300 or Gla-100 in the EDITION studies, as a function of HbA1c. Analysis was performed on patient-level data pooled from the three EDITION studies, and annualized hypoglycaemia rate as a function of HbA1c at Month 6 was fitted using a negative binomial regression model. Participants treated with Gla-300 experienced a consistently lower rate of confirmed (≤3.9 mmol/L [≤70 mg/dL]) or severe hypoglycaemia as compared with those treated with Gla-100, regardless of HbA1c at Month 6. Results suggest that treatment with Gla-300 vs Gla-100 could allow individuals with T2DM to achieve equivalent glycaemic control with less hypoglycaemia., (© 2018 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

Aim: To determine the incidence of severe hypoglycaemia and its predictors in community-based patients with type 2 diabetes studied between 2008 and 2013 compared with those in a cohort of patients with type 2 diabetes from the same geographical area assessed a decade earlier., Methods: We studied 1551 participants (mean age 65.7 years, 51.9% men) with type 2 diabetes from the longitudinal observational Fremantle Diabetes Study Phase II (FDS2). Severe hypoglycaemia was ascertained as that requiring ambulance attendance, emergency department services and/or hospitalization. Cox proportional hazards modelling was used to determine predictors of a first episode of severe hypoglycaemia, and negative binomial regression was used to identify predictors of frequency., Results: Sixty-three participants (4.1%) experienced 83 episodes, representing an incidence of 1.34/100 participant-years (95% confidence interval [CI] 1.08 to 1.67; vs 1.67/100 participant-years [95% CI 1.31-2.13] in the Fremantle Diabetes Study Phase I [FDS1]; P = 0.18). Those experiencing severe hypoglycaemia experienced one to four episodes in both cohorts. The independent predictors of incident severe hypoglycaemia in the FDS2 were: older age; higher educational attainment; alcohol consumption; current smoking; sulphonylurea/insulin treatment; prior severe hypoglycaemia; renal impairment; and plasma N-terminal pro-B-type natriuretic peptide (NT-proBNP). The same variables except smoking were associated with frequency of severe hypoglycaemia. Most of these risk factors paralleled those in the FDS1, but current smoking and plasma NT-proBNP were novel., Conclusions: The incidence and frequency of severe hypoglycaemia did not change between the Fremantle Diabetes Study phases but novel risk factors, including plasma NT-proBNP, were observed in the FDS2., (© 2018 John Wiley & Sons Ltd.)

Background: The purpose of this study was to establish the association between continuous glucose monitoring (CGM)-defined glycaemic variability (GV) and cardiovascular autonomic neuropathy (CAN) in type 1 diabetes independent of mean glucose and to examine the relative contribution of each internationally standardized CGM parameter to this association., Materials and Methods: This study included 80 adults with type 1 diabetes who underwent 3-day CGM and autonomic function tests within 3 months. The degree of association between internationally standardized CGM parameters and CAN, defined as at least two abnormal parasympathetic tests or the presence of orthostatic hypotension, were analysed by logistic regression, receiver operating characteristics (ROC), and dominance analysis., Results: A total of 36 subjects (45.0%) were diagnosed with CAN. When adjusted with mean glucose and clinical risk factors of CAN, standard deviation, coefficient of variation, mean amplitude of glycaemic excursion, percent time in level 1 (glucose 54-69 mg/dL) and level 2 (glucose < 54 mg/dL) hypoglycaemia, area under the curve in level 2 hypoglycaemia, low blood glucose index, high blood glucose index, and percent time in glucose 70 to 180 mg/dL were independently associated with CAN. Multivariable ROC analysis and dominance analysis revealed the highest relative contribution of percent time in level 2 hypoglycaemia to the independent associations between CGM parameters and presence of CAN., Conclusions: CGM-defined GV was associated with CAN independent of mean glucose in adults with type 1 diabetes. Among internationally standardized CGM parameters, those describing the degree of level 2 hypoglycaemia were the most significant contributors to this association., (© 2018 John Wiley & Sons, Ltd.)

Aim: Using routine blood sampling in a gastroenteritis diagnostic workup is debatable. This study examined the relationship between the severity of acute gastroenteritis and blood test abnormalities., Methods: We prospectively enrolled children under five years of age referred for outpatient or inpatient management for gastroenteritis from February 2014 to April 2016. The four study hospitals cared for 30% of Norwegian children. The severity of gastroenteritis was assessed using Vesikari scores. Blood samples were analysed at each hospital., Results: The 659 children had a median age of 19 months. The rotavirus was found in 314/514 children with stool samples (61%). Severe gastroenteritis, indicated by a Vesikari score of ≥11, was found in 392/549 (71%) with completed scores, but only 40 of 649 (6%) assessed for dehydration were more than 5% dehydrated. None had sodium <130 mmol/L. Glucose of 3.0-3.3 mmol/L was detected in 52/578 (9%) and <3.0 mmol/L in 33/578 (6%). Hypoglycaemia, elevated urea, low bicarbonate and negative base excess were associated with disease severity. The duration of vomiting and the rotavirus infection were associated with hypoglycaemia. Elevated urea, low bicarbonate and negative base excess had high specificities, but low sensitivities., Conclusion: Hypoglycaemia was common in acute gastroenteritis, but major electrolyte disturbances were infrequent., (©2018 Foundation Acta Paediatrica. Published by John Wiley & Sons Ltd.)

Aims: To determine whether an individualized body weight-based glucose treatment in adults with type 2 diabetes (T2DM) is more likely to resolve hypoglycaemia with a single treatment without excessive rebound hyperglycaemia compared to fixed doses of 12 or 30 g of glucose., Methods: Adults with T2DM were enrolled in a cross-over study. Each episode of hypoglycaemia (capillary glucose <4.0 mmol/L) was randomly assigned to 1 of 3 treatment protocols: 0.3 g glucose/kg body-weight or a fixed dose of either 12 or 30 g glucose, independent of weight. All participants received each treatment in random order for up to 15 hypoglycaemic episodes. Glucose was re-tested 10 minutes after treatment, with a repeat dose if still <4 mmol/L., Results: Mean (SD) age of the 30 participants was 68 (8.1) years, mean weight was 91.5 (16.8) kg and mean HbA1c was 58.7 (9.2) mmol/mol. Among a total of 244 episodes of hypoglycaemia, 10 participants had 15 treatment episodes and 18 participants had fewer than 10 treatment episodes. The odds ratio, adjusted for multiple comparisons, for resolution of hypoglycaemia at 10 minutes, comparing weight-based treatment and 12 g treatment was 3.2 (95% CI, 1.1-9.0), P = .009, comparing 30 g treatment and 12 g treatment was 8.9 (95% CI, 2.2-36.6), P < .001, and comparing weight-based treatment and 30 g treatment was 0.36 (95% CI, 0.08-1.67) P = .10., Conclusion: In T2DM, both a weight-based 0.3 g/kg treatment and a fixed 30 g glucose treatment result in higher blood glucose than a 12 g treatment, along with increased probability of resolution of hypoglycaemia after 10 minutes. Both treatments result in an excess of mild rebound hyperglycaemia (>8 mmol/L) at 30 minutes., (© 2018 John Wiley & Sons Ltd.)

Aims: To re-analyse, using a series of alternative hypoglycaemia definitions, the data from 2 trials, DUAL I and V, in which the once-daily, fixed ratio combination of insulin degludec/liraglutide (IDegLira) was compared with basal insulin therapy., Material and Methods: Post hoc analyses of the DUAL I (patients uncontrolled on oral antidiabetic drugs) and DUAL V (patients uncontrolled on insulin glargine (IGlar) U100) trials were carried out using different definitions of hypoglycaemia and according to whether treatments were administered in the morning or afternoon. Rates of hypoglycaemia for the definitions of confirmed and American Diabetes Association (ADA)-documented symptomatic hypoglycaemia were compared according to age, gender and body mass index (BMI)., Results: Although hypoglycaemia rates differed according to the alternative hypoglycaemia definitions, rates were consistently lower with IDegLira vs insulin degludec (IDeg) and IGlar U100. Despite glycated haemoglobin concentrations being lower with IDegLira at end of treatment, confirmed and nocturnal-confirmed hypoglycaemia rates were lower for IDegLira vs IDeg and IGlar U100, irrespective of dosing time. The definitions of confirmed and ADA-documented symptomatic hypoglycaemia did not have a significant effect on the treatment difference between IDegLira and IDeg, liraglutide or IGlar U100 when further assessed by baseline age, gender and BMI., Conclusions: Treatment with IDegLira, vs IDeg and IGlar U100, resulted in lower rates of hypoglycaemia regardless of dosing time and definition of hypoglycaemia used. The choice of hypoglycaemia definition did not influence the results of analyses when stratified by age, sex and BMI., (© 2017 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

Aims: To evaluate risk factors for hospital admissions for hypoglycaemia and compare length of hospitalization, inpatient mortality and hospital readmission between hypoglycaemia- and non-hypoglycaemia-related admissions., Materials and Methods: We used all admissions for hypoglycaemia in individuals with diabetes to English NHS hospital trusts between 2005 and 2014 (101 475 case admissions) and 3 random admissions per case in individuals with diabetes without hypoglycaemia (304 425 control admissions). Risk factors and differences in the 3 outcomes were estimated with logistic and negative binomial regressions., Results: A U-shaped relationship between age and risk of admission for hypoglycaemia was observed until the age of 85 years; compared to the nadir at 60 years, the risk was progressively higher in younger and older patients and steadily declined after 85 years. Social deprivation (positively) and comorbidities (negatively) were associated with the risk of admission for hypoglycaemia. Compared to Caucasians, other ethnic groups had lower (Bangladeshi, Pakistani, Indians) or higher (Caribbean) risk of admission for hypoglycaemia. Length of hospitalization was 26% shorter while risk of rehospitalization was 65% higher in individuals admitted for hypoglycaemia. Compared to admissions for hypoglycaemia, risk of inpatient mortality was 50% lower for unstable angina but higher for acute myocardial infarction (3 times), acute renal failure (5 times) or pneumonia (8 times)., Conclusions: Among hospital-admitted individuals with diabetes, age, social deprivation, comorbidities and ethnicity are associated with higher frequency of hospitalization for hypoglycaemia. Admission for hypoglycaemia is associated with a greater risk of readmission, a shorter length of hospitalisation and a generally lower inpatient mortality compared to admissions for other medical conditions. These results could help in identifying at-risk groups to reduce the burden of hospitalization for hypoglycaemia., (© 2017 John Wiley & Sons Ltd.)

Aims: Certain treatments for type 2 diabetes mellitus cause hypoglycaemia and weight gain, and thus might counteract the benefits of intensive glucose control. We quantify the association of cardiovascular disease (CVD) outcomes with hypoglycaemia and weight gain among patients with type 2 diabetes treated with sulfonylureas., Materials and Methods: This cohort study included patients from January 2009 through December 2014 who were selected from within a deidentified nationwide electronic health records repository, including multiple provider networks and electronic medical records systems. Hypoglycaemia measures from structured data fields and free text clinical notes were categorized as serious or non-serious. Covariate adjusted Poisson regression analysis was used to assess the association between frequency of hypoglycaemia (by severity), or magnitude of weight change, and incidence of acute myocardial infarction (AMI), congestive heart failure (CHF) and stroke., Results: Among 143 635 eligible patients, we observed 5669 cases of AMI, 14 109 incident cases of CHF and 7017 cases of stroke. Overall incidence rates were 1.53, 4.26 and 1.92 per 100 person-years for AMI, CHF and stroke, respectively. The associations between overall hypoglycaemia and each of the CVD outcomes were positive, with stronger associations observed for serious hypoglycaemia and attenuated or null associations observed for non-serious hypoglycaemia. Weight change exhibited a U-shaped association with increased risks associated with both weight loss and weight gain relative to stable weight., Conclusions: This study provides evidence of increased CVD risk associated with hypoglycaemia, especially with serious hypoglycaemia events. While associations were attenuated with non-serious hypoglycaemia, the results were suggestive of a potential increased risk., (© 2017 John Wiley & Sons Ltd.)

Continuous and flash glucose monitoring (GM) systems have been established in diabetes care. We compared the sensor performance of 3 commercially available GM systems. A total of 12 patients with type 1 diabetes were included in a single-centre, open-label study in which the sensor performance of the Abbott FreeStyle libre (Abbott), Dexcom G4 Platinum (Dexcom) and Medtronic MiniMed 640G (Medtronic) systems over 12 hours was compared during mimicked real-life conditions (meals, exercise, hypo- and hyperglycaemia). Sensor performance was determined by fulfilment of ISO 15197:2013 criteria, calculating mean absolute relative difference (MARD), and was also illustrated using Parkes error grid and Bland-Altman plots. Sensor performance during changes in metabolic variables (lactate, betahydroxybutyrate, glucagon, non-esterified-fatty-acids) was determined by Spearman's rank correlation coefficient testing. The systems fulfilled ISO 15197:2013 criteria by 73.2% (Abbott), 56.1% (Dexcom) and 52.0% (Medtronic). The MARDs ± standard deviation in the entire glycaemic range were 13.2% ± 10.9% (Abbott), 16.8% ± 12.3% (Dexcom) and 21.4% ± 17.6% (Medtronic), respectively. All sensors performed less accurately during hypoglycaemia and best during hyperglycaemia. We did not observe an influence of metabolic variables on sensor performance., (© 2017 John Wiley & Sons Ltd.)

Background: This study aimed to explore independent associations between serum uric acid and hypoglycaemia, and whether mildly increased serum uric acid exacerbated the association between mild decline in estimated glomerular filtration rate (eGFR) and hypoglycaemia., Methods: A cross-sectional survey of 6713 inpatients with type 2 diabetes and eGFR ≥60 mL/min/1.73 m 2 and admitted to 81 tertiary care hospitals in China was conducted. Self-reported asymptotic hypoglycaemia with plasma glucose ≤3.9 mmol/L, hypoglycaemia episodes with symptoms in 1 month or hypoglycaemia that needed assistance from other people in 3 months before hospitalization was used to define hypoglycaemia. Binary logistic regression was used to estimate odds ratios of serum uric acid for hypoglycaemia. Three measures, that is, relative excess risk due to interaction (RERI), attributable proportion due to interaction and synergy index (S) were used to estimate the effect of mildly decreased eGFR on the association of serum uric acid with hypoglycaemia., Results: Serum uric acid was associated with hypoglycaemia in an ordinal manner (P for trend <0.01) with an odds ratio of top quartile versus the lowest quartile up to 3.03 (95% confidence interval: 2.13-4.32). The odds ratio of serum uric acid levels ≥ versus <283 µmol/L (i.e. the median) was 1.98 (95% confidence interval:1.58-2.48). Serum uric acid levels ≥ versus <283 µmol/L greatly enhanced the association between mild decline in eGFR (eGFR < 90 mL/min/1.73 m 2 ) and hypoglycaemia from 0.94 (0.36-2.43) to 3.90 (2.55-5.95), with a significant additive interaction (P < 0.05 for RERI, AP and S)., Conclusions: Mildly increased serum uric acid was associated with increased risk of hypoglycaemia and enhanced the association between mildly decreased eGFR and hypoglycaemia in type 2 diabetes. Copyright © 2016 John Wiley & Sons, Ltd., (Copyright © 2016 John Wiley & Sons, Ltd.)

Aim: Postnatal hypoglycaemia increases the risk of adverse neurological outcomes in newborn infants, and adequate glucose control requires repetitive and painful blood sampling. This study evaluated a continuous glucose monitoring system (CGMS) that aims to improve glucose control and decrease the frequency of blood samples taken from neonates., Methods: CGMS sensors, which measure glucose values every five minutes and require calibration twice a day, were placed on 20 infants at risk of hypoglycaemia. The infants also underwent blood glucose sampling, and the blood glucose values were compared with CGMS values six times during the first 30 minutes after sampling., Results: We used 97/264 (37%) of the blood glucose values taken for the CGMS calibration. The highest accuracy, a mean of 0.22 (95% confidence interval 0.13-0.30 mmol/L), was found 15-19 minutes after sampling, due to the calibration process. No significant subcutaneous glucose time lag was detectable., Conclusion: The CGMS system was an accurate and feasible method for glucose control, provided earlier detection of hypoglycaemia in newborn infants and reduced their exposure to procedural pain. The delay in calibration in infants was a new finding and needs to be taken into account when comparing CGMS readings to blood glucose values., (©2016 Foundation Acta Paediatrica. Published by John Wiley & Sons Ltd.)

Shwachman-Diamond syndrome (SDS) is a recessive ribosomopathy, characterized by bone marrow failure and exocrine pancreatic insufficiency (ePI) often associated with neurodevelopmental and skeletal abnormalities. The aim of this report is to describe a SDS patient with early ichthyosis associated with dermal and epidermal intracellular lipid droplets (iLDs), hypoglycemia and later a distinctive clinical SDS phenotype. At 3 months of age, she had ichthyosis, growth retardation, and failure to thrive. She had not cytopenia. Ultrasonography (US) showed pancreatic diffuse high echogenicity. Subsequently fasting hypoketotic hypoglycemia occurred without permanent hepatomegaly or hyperlipidemia. Continuous gavage feeding was followed by clinical improvement including ichthyosis and hypoglycemia. After 14 months of age, she developed persistent neutropenia and ePI consistent with SDS. The ichthyotic skin biopsy, performed at 5 months of age, disclosed iLDs in all epidermal layers, in melanocytes, eccrine sweat glands, Schwann cells and dermal fibroblasts. These iLDs were reminiscent of those described in Dorfman-Chanarin syndrome (DCS) or Wolman's disease. Both LIPA and CGI-58 analysis did not revealed pathogenic mutation. By sequencing SBDS, a compound heterozygous for a previously reported gene mutation (c.258 + 2T>C) and a novel mutation (c.284T>G) were found. Defective SBDS may hypothetically interfere as in DCS, with neutral lipid metabolism and play a role in the SDS phenotype such as ichthyosis with dermal and epidermal iLDs and hypoglycemia. This interference with neutral lipid metabolism must most likely occur in the cytoplasm compartment as in DCS and not in the lysosomal compartment as in Wolman's disease. © 2016 Wiley Periodicals, Inc., (© 2016 Wiley Periodicals, Inc.)

Background: It remains unclear whether severe hypoglycemia is associated with cardiovascular disease (CVD) in Asian populations with type 2 diabetes (T2D). Furthermore, no study in Japan, where the prescription patterns differ from those in other countries, has examined this association., Methods and Results: We retrospectively included 58 223 patients (18-74 years old) with T2D. First, we examined the potential predictors of severe hypoglycemia. Then, we investigated the association between severe hypoglycemia and CVD risk. Finally, we performed an updated systematic review and meta-analysis to incorporate our findings and recently published studies into the previous systematic review and meta-analysis. During 134 597 person-years from cumulative observation periods, 128 persons experienced severe hypoglycemia and 550 developed CVD events. In a multivariate Cox proportional hazard model, severe hypoglycemia was strongly and positively associated with the risk of CVD (multivariate-adjusted adjusted hazard ratio, 3.39; 95% CI, 1.25-9.18). In a propensity score-matched cohort that had similar baseline characteristics for patients with severe hypoglycemia and those without, severe hypoglycemia was more strongly associated with the risk of CVD. An updated systematic review and meta-analysis that included 10 studies found that severe hypoglycemia was associated with an ≈2-fold increased risk of CVD (pooled relative risk, 1.91; 95% CI, 1.69-2.15)., Conclusions: Our results suggest that severe hypoglycemia is strongly associated with an increased risk of CVD in Japanese patients with T2D, further supporting the notion that avoiding severe hypoglycemia may be important in preventing CVD in this patient population., (© 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.)

Costello syndrome (CS) entails a cancer predisposition and is caused by activating HRAS mutations, typically arising de novo in the paternal germline. Hypoglycemia is common in CS neonates. A previously reported individual with the rare HRAS p.Gln22Lys had hyperinsulinemic hypoglycemia. Autopsy showed a discrete pancreatic nodule. The morphologic and immunohistochemistry findings, including loss of p57(Kip2) protein, were identical to a focal lesion of congenital hyperinsulinism, however, no KCNJ11 or ABCC8 mutation was identified and germline derived DNA showed no alternation of the maternal or paternal 11p15 alleles. Here we report paternal uniparental disomy (pUPD) within the lesion, similar to the pUPD11p15.5 in Beckwith-Wiedemann syndrome (BWS). The similar extent of the pUPD suggests a similar mechanism driving hyperinsulinemia in both conditions. After coincidental somatic LOH and pUPD, the growth promoting effects of the paternally derived HRAS mutation, in combination with the increased function of the adjacent paternally expressed IGF2, may together result in clonal expansion. Although this somatic LOH within pancreatic tissue resulted in hyperinsulinism, similar LOH in mesenchymal cells may drive embryonal rhabdomyosarcoma (ERMS). Interestingly, biallelic IGF2 expression has been linked to rhabdomyosarcoma tumorigenesis and pUPD11 occurred in all 8 ERMS samples from CS individuals. Somatic KRAS and HRAS mutations occur with comparable frequency in isolated malignancies. Yet, the malignancy risk in CS is notably higher than in Noonan syndrome with a KRAS mutation. It is conceivable that HRAS co-localization with IGF2 and the combined effect of pUPD 11p15.5 on both genes contributes to the oncogenic potential., (© 2015 Wiley Periodicals, Inc.)

Background: This study assesses the autonomic function of patients who have regained awareness of hypoglycaemia following islet cell or whole pancreas transplant., Methods: Five patients with type 1 diabetes and either islet cell (four patients) or whole pancreas (one patient) transplant were assessed. These patients were age-matched and gender-matched to five patients with type 1 diabetes without transplant and preserved hypoglycaemia awareness and five healthy control participants without diabetes. All participants underwent (i) a battery of five cardiovascular autonomic function tests, (ii) quantitative sudomotor axonal reflex testing, and (iii) sympathetic skin response testing., Results: Total recorded hypoglycaemia episodes per month fell from 76 pre-transplant to 13 at 0- to 3-month post-transplant (83% reduction). The percentage of hypoglycaemia episodes that patients were unaware of decreased from 97 to 69% at 0-3 months (p < 0.001, Fisher's exact test) and to 20% after 12 months (p < 0.0001, Fisher's exact test). This amelioration was maintained at the time of testing (mean time: 4.1 years later, range: 2-6 years). Presence of significant autonomic neuropathy was seen in all five transplanted patients (at least 2/3 above modalities abnormal) but in only one of the patients with diabetes without transplantation., Conclusions: The long-term maintenance of hypoglycaemia awareness that returns after islet cell/pancreas transplantation in patients with diabetes is not prevented by significant autonomic neuropathy and is better accounted for by other factors such as reversal of hypoglycaemia-associated autonomic failure., (Copyright © 2015 John Wiley & Sons, Ltd.)

Aims: To assess the accuracy and reliability of the two most widely used continuous glucose monitoring (CGM) systems., Methods: We studied the Dexcom®G4 Platinum (DG4P; Dexcom, San Diego, CA, USA) and Medtronic Paradigm Veo Enlite system (ENL; Medtronic, Northridge, CA, USA) CGM systems, in 24 patients with type 1 diabetes. The CGM systems were tested during 6-day home use and a nested 6-h clinical research centre (CRC) visit. During the CRC visit, frequent venous blood glucose samples were used as reference while patients received a meal with an increased insulin bolus to induce an aggravated postprandial glucose nadir. At home, patients performed at least six reference capillary blood measurements per day. A Wilcoxon signed-rank test was performed using all data points ≥15 min apart., Results: The overall mean absolute relative difference (MARD) value [standard deviation (s.d.)] measured at the CRC was 13.6 (11.0)% for the DG4P and 16.6 (13.5)% for the ENL [p < 0.0002, confidence interval of difference (CI Δ) 1.7-4.3%, n = 530]. The overall MARD assessed at home was 12.2 (12.0)% for the DG4P and 19.9 (20.5)% for the ENL (p < 0.0001, CI Δ = 5.8-8.7%, n = 839). During the CRC visit, the MARD in the hypoglycaemic range [≤3.9 mmol/l (70 mg/dl)], was 17.6 (12.2)% for the DG4P and 24.6 (18.8)% for the ENL (p = 0.005, CI Δ 3.1-10.7%, n = 117). Both sensors showed higher MARD values during hypoglycaemia than during euglycaemia [3.9-10 mmol/l (70-180 mg/dl)]: for the DG4P 17.6 versus 13.0% and for the ENL 24.6 versus 14.2%., Conclusions: During circumstances of intended use, including both a CRC and home phase, the ENL was noticeably less accurate than the DG4P sensor. Both sensors showed lower accuracy in the hypoglycaemic range. The DG4P was less affected by this negative effect of hypoglycaemia on sensor accuracy than was the ENL., (© 2014 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

Background: The association of diabetes mellitus and bladder cancer recurrence following radical nephroureterectomies (RNUs) in patients with upper urinary tract urothelial carcinoma (UTUC) was investigated., Methods: Between January 1996 and March 2009, 538 patients with UTUC who received RNU and had no previous bladder cancer histories were enrolled. The clinicopathological characteristics were obtained and used for the analysis of metachronous bladder recurrence by using Cox proportional hazard model., Results: The diabetic patients (N = 104, 19.3%) were elderly (72 vs 67 years, p < 0.001) and had more hypertension (56.7 vs 34.5%, p < 0.001) as compared with non-diabetic patients. There was no significant difference in the rest of clinicopathological characteristics between patient groups. During the median follow-up duration of 51 months, bladder recurrences were discovered in 47.1 and 33.1% of diabetic and non-diabetic patients with UTUC, respectively. Poorly controlled diabetic patients (HbA1c  ≥ 7.0%) exhibited a shorter duration of bladder cancer recurrence-free survival as compared with those with good glycemic controlled diabetes mellitus and without diabetes mellitus (log-rank test, p < 0.001 and <0.001, respectively). In the multivariate analysis, male gender [hazard ratio (HR) = 1.67, p = 0.017], ureteral tumour (HR = 1.61, p = 0.020), end-stage renal disease (HR = 2.09, p = 0.030) and diabetes mellitus with poor glycemic control (HR = 2.10, p < 0.018) independently predicted bladder recurrence after RNU., Conclusions: Diabetes mellitus with poor glycemic control (HbA1c  ≥ 7.0%) increases the risk of subsequent bladder cancer recurrence. These results underscore the need for intensive glycemic control and close follow-up for diabetic patients., (Copyright © 2014 John Wiley & Sons, Ltd.)

Background: Hypoglycaemia is associated with morbidity and mortality in critically ill patients, and many hospitals have programmes to minimize hypoglycaemia rates. Recent studies have established the hypoglycaemic patient-day as a key metric and have published benchmark inpatient hypoglycaemia rates on the basis of point-of-care blood glucose data even though these values are prone to measurement errors., Methods: A retrospective, cohort study including all patients admitted to Harborview Medical Center Intensive Care Units (ICUs) during 2010 and 2011 was conducted to evaluate a quality improvement programme to reduce inappropriate documentation of point-of-care blood glucose measurement errors. Laboratory Medicine point-of-care blood glucose data and patient charts were reviewed to evaluate all episodes of hypoglycaemia., Results: A quality improvement intervention decreased measurement errors from 31% of hypoglycaemic (<70 mg/dL) patient-days in 2010 to 14% in 2011 (p < 0.001) and decreased the observed hypoglycaemia rate from 4.3% of ICU patient-days to 3.4% (p < 0.001). Hypoglycaemic events were frequently recurrent or prolonged (~40%), and these events are not identified by the hypoglycaemic patient-day metric, which also may be confounded by a large number of very low risk or minimally monitored patient-days., Conclusions: Documentation of point-of-care blood glucose measurement errors likely overestimates ICU hypoglycaemia rates and can be reduced by a quality improvement effort. The currently used hypoglycaemic patient-day metric does not evaluate recurrent or prolonged events that may be more likely to cause patient harm. The monitored patient-day as currently defined may not be the optimal denominator to determine inpatient hypoglycaemic risk., (Copyright © 2014 John Wiley & Sons, Ltd.)

Evidence from the last decade supports the hypothesis that diabetes may be viewed as a disease of accelerated cognitive ageing. It is a risk factor for the development of dementia, for an accelerated rate of cognitive decline and for cognitive dysfunction. Thus, 'diabetes-related cognitive dysfunction' may be viewed as another long-term complication of diabetes. This article will review the evidence supporting this hypothesis and will elaborate on the implications for patient care, as well as discuss potential treatment options and their limitation. The final section reviews possible mechanistic explanations., (Copyright © 2013 John Wiley & Sons, Ltd.)

Although mouse models of Prader-Willi syndrome (PWS) suggest that hypoglycemia may be part of this syndrome, review of the literature shows little evidence that it is an issue in humans with PWS. Both adrenal and growth hormone deficiency can be seen in PWS, and both of these hormone deficiencies are associated with increased risk for hypoglycemia. We reviewed medical records for patients with PWS seen at the University of Florida Prader-Willi Program. Children were 2 months to 5 years of age. We recorded the presence, degree, and persistence of hypoglycemia, age of first occurrence, genetic diagnosis, and gestational age. Repeated hypoglycemia was determined if individuals had multiple blood glucose (BG) values <50 mg/dl before 1 month old, or BG levels <50 mg/dl once and additional BG values <70 mg/dl after 1 year of age. Of 95 patient charts reviewed, 12 (12.6%) had recorded hypoglycemia. Six of 12 patients with hypoglycemia had documented BG levels <40 mg/dl. Seven had their first episode of hypoglycemia within the first day of life. Of these seven individuals, five had BG <40 mg/dl. Repeated hypoglycemia was noted in 10 patients (83% of all patients with hypoglycemia). Only two with hypoglycemia had documented adrenal insufficiency. Our study suggests that infants with PWS may be predisposed to hypoglycemia from birth. Additional investigation is necessary to confirm our findings and define the cause of hypoglycemia. If the presence of hypoglycemia is confirmed, early detection and treatment may result in improved neurocognitive outcomes., (© 2014 Wiley Periodicals, Inc.)

Kabuki syndrome (KS) is a congenital malformation disorder with a spectrum of clinical manifestations involving different organs. Until the identification of MLL2 gene mutation in 2010, the diagnosis was made only clinically by the characteristic facial features with other common and uncommon features. Hypoglycemia, although an uncommon feature in KS, is very important to be recognized, as early diagnosis and appropriate management will reduce further long-term neurologic morbidity in these patients. We report on four patients with KS presenting with persistent hypoglycemia. Hyperinsulinemic hypoglycemia was the cause of hypoglycemia in two out of four patients and one patient had growth hormone deficiency. The mechanism of the hypoglycemia in one patient is still unclear. Three out of these four patients were found to have mutation in the MLL2 gene. Our observations suggest that patients with KS may have hypoglycemia due to different mechanisms and that MLL2 gene may have a role in glucose physiology., (© 2013 Wiley Periodicals, Inc.)

Aims: To evaluate the accuracy of a (widely used) continuous glucose monitoring (CGM)-system and its ability to detect hypoglycaemic events., Methods: A total of 18 patients with type 1 diabetes mellitus used continuous glucose monitoring (Guardian REAL-Time CGMS) during two 9-day in-house periods. A hypoglycaemic threshold alarm alerted patients to sensor readings <70 mg/dl. Continuous glucose monitoring sensor readings were compared to laboratory reference measurements taken every 4 h and in case of a hypoglycaemic alarm., Results: A total of 2317 paired data points were evaluated. Overall, the mean absolute relative difference (MARD) was 16.7%. The percentage of data points in the clinically accurate or acceptable Clarke Error Grid zones A + B was 94.6%. In the hypoglycaemic range, accuracy worsened (MARD 38.8%) leading to a failure to detect more than half of the true hypoglycaemic events (sensitivity 37.5%). Furthermore, more than half of the alarms that warn patients for hypoglycaemia were false (false alert rate 53.3%). Above the low alert threshold, the sensor confirmed 2077 of 2182 reference values (specificity 95.2%)., Conclusions: Patients using continuous glucose monitoring should be aware of its limitation to accurately detect hypoglycaemia., (© 2012 Blackwell Publishing Ltd.)

Aim: Continuous glucose monitoring system (CGMS) provides detailed information on glucose fluctuations. The aim was to establish whether CGMS could be used during physical exercise and whether it detects more episodes of hypoglycaemia and hyperglycaemia than frequent blood glucose measurements., Methods: Adolescents with type 1 diabetes (12 girls and 47 boys) participated in three annual sports camps that lasted for 3-4 days and included different types of exercise: soccer, floorball + cross-country skiing and golf. During the study, blood glucose values, mean 8.7 ± 3.3 per day, were obtained with Hemocue in parallel with the CGMS., Results: Ninety-eight per cent of the participants used the sensor at all times during the camps. Eighty-seven per cent of the sensors gave adequate signals for 24 h and 66% for 48 h. Median durations of hypoglycaemia and hyperglycaemia were 1.7 h per day and 3.8 h per day, respectively. The CGMS identified significantly more episodes of hypoglycaemia (p < 0.005) and hyperglycaemia (p < 0.005) during the day and night than frequent blood glucose tests., Conclusion: We demonstrate that, even during days that included episodic strenuous physical exercise, CGMS could provide useful information on glucose fluctuations during day and night, albeit with significant failure rates., (© 2011 The Author(s)/Acta Paediatrica © 2011 Foundation Acta Paediatrica.)

Unlabelled: We report the case of a 3-month-old boy who presented with a 3-day history of respiratory tract infection and poor feeding. He was incidentally found to have profound hypoglycaemia, high-anion-gap lactic acidosis, ketonuria, hyperlipidemia, hepatomegaly, growth failure and neutropenia. Glycogen storage disease type Ib (GSD Ib), an autosomal recessive metabolic defect of the microsomal transporter glucose-6-phosphate-translocase, was suspected and confirmed by genetic testing. Treatment consisted of initial intravenous glucose and fluids to correct his lactic acidosis, followed by a strict dietary protocol consisting of soy-based infant formula enriched with glucose polymers from cornstarch and overnight gastrostomy feeds., Conclusions: GSD I should be considered in all young children presenting with hypoglycaemia and lactic acidosis. Presence of neutropenia further confirms GSD Ib. Even critical hypoglycaemia can be clinically unapparent in affected children., (© 2011 The Author(s)/Acta Paediatrica © 2011 Foundation Acta Paediatrica.)

We present a 56-year-old female with a history of carbohydrate intolerance and ketotic hypoglycemia, dysmorphic features, mild developmental delay, lymphedema, altered pain sensation, and frequent fractures, who was found to have a heterozygous 8.09 Mb deletion of chromosome 8q24.11q24.13 containing more than 39 genes, as well as a duplication of 20q11.23 containing one gene. The deleted region overlaps that of two previously reported patients, who share a subset of clinical characteristics with the patient described here. Some of this patient's clinical features are consistent with the loss of genes in the deleted region. The diagnostic work-up of this patient clearly demonstrates the evolution of genetic testing techniques., (Published 2010 Wiley-Liss, Inc.)

Background: It is accepted that tight glycaemic control is necessary during labour in women with pregestational or gestational diabetes mellitus (GDM). Although policies vary, routine use of intravenous glucose and insulin remains a standard practice in some institutions. We present a retrospective review of a more conservative approach. Briefly, regardless of planned delivery method, maternal blood sugar level (BSL) is monitored during delivery and only if outside 4-7 mmol/L is action taken. We report the results of an audit of this practice., Methods: A retrospective (August 2001-July 2004) review of 137 singleton, term deliveries of women with diabetes (23 pregestational, 114 GDM). Predetermined outcomes reported were BSL achieved prior to delivery, first neonatal BSL and/or admission to neonatal intensive care unit (NICU) for hypoglycaemia., Results: With our management practice, most women had a BSL between 4 and 8 mmol/L prior to delivery (17 (74%) diabetes mellitus (DM), 37 (93%) diet-controlled GDM, 55 (89%) insulin-requiring GDM). Neonatal hypoglycaemia (< 2.6 mmol/L) was common (n = 30 (22%)). However, most neonatal hypoglycaemia occurred in infants born to mothers with BSL 4-8 mmol/L (n = 26 (87%)). Neonatal hypoglycaemia requiring NICU admission (n = 13) was predominantly in infants born to mothers with BSL < 8mmol/L prior to delivery (n = 10 (77%)). Three of eight maternal BSLs > 8 mmol/L occurred prior to emergency caesarean section in women with pregestational diabetes., Conclusion: These results suggest that our current practice, particularly in women with GDM, may offer an alternative to more aggressive regimes.