Type 1 Diabetes Mellitus and Lipohypertrophy - Impact of the Intervention on Glycemic Control via Patient's Examination and Retraining on Change of Infusion Set.

OBJECTIVE: Lipohypertrophy (LH) is a common complication of insulin therapy in type 1 diabetes mellitus (T1DM). We examined whether an intervention consisting of LH assessment and retraining on insulin infusion set use improves glycemic control on subcutaneous insulin infusion (CSII) in patients with T1DM. METHODS: The intervention was conducted in 79 consecutive patients with T1DM. Data on glucose levels, glycated hemoglobin (HbA1c), and insulin doses were collected at baseline and after a median of 22 weeks (20-31.75 weeks). RESULTS: A total of 46 patients with T1DM (23 [50%] women) participating in the follow-up were characterized by a median age of 29 years (25-33.8 years), body mass index of 24.6 ± 3.3 kg/m2, T1DM duration of 16.5 years (8.3-20 years), and subcutaneous insulin infusion duration of 7 years (4-10.8 years). Patients' median HbA1c fell from 7.4% (6.7%-8.2%) to 7.05% (6.4%-7.6%) (P < .001), daily insulin dose/kg decreased (0.7 ± 0.20 vs 0.68 ± 0.15 IU/kg; P = .017) together with the total daily insulin dose (50.3 [40.5-62.7] vs 47.6 [39.8-62.1] IU; P = .019]. Furthermore, the percentage of basal insulin dose increased (43.0% [36-50] vs 44.0% [39.0-50.0]; P = .010], whereas the percentage of bolus dose decreased (57% [50-64] vs 56% [50-61], P = .010). CONCLUSIONS: The structured LH-related intervention in patients with T1DM on insulin pumps resulted in better glycemic control and a decrease in total daily insulin dose.

Insulin-induced Lipohypertrophy in Patients with Type 1 Diabetes Mellitus Treated with an Insulin Pump.

BACKGROUND: Lipohypertrophy (LH) of subcutaneous tissue is an insulin-induced complication occurring in patients with diabetes. We aimed to define the prevalence of LH and identify its risk factors in type 1 diabetes (T1DM) patients treated with continuous subcutaneous insulin infusion (CSII). MATERIALS AND METHODS: The study included 79 consecutive CSII-treated T1DM patients. The diagnose of LH was based on ultrasonography (US) as a reference method, physical examination was also performed. Clinical characteristics were available from the medical records. RESULTS: The median age of patients was 28 years (interquartile range [IQR], 24-30.5) with a body mass index (BMI) of 24.5 ± 3.5 kg/m2, HbA1c 7.1% (IQR, 6.7-8.1), T1DM duration 15 (9-20) years, and CSII use duration of 8 year (IQR, 5-11). LH was detected by US in 75 (94.9%) patients. This value was much higher than this obtained by visual assessment (n = 39, 49.4%) or palpation (n = 59, 74.7%). In univariate analyses, the following risk factors for occurrence of 5 and more LH lesions were identified: the ratio of insulin dose to body mass exceeding 0.7 IU/kg (OR, 3.69; 95% CI, 1.43-10.01) and the total daily insulin dose (OR, 1.05; 95% CI, 1.02-1.09). A higher dose of insulin per kg remained a significant risk factor of LH amount in multivariate analysis. CONCLUSION: This selected T1DM cohort treated with CSII had a very high prevalence of LH. US assessment should be considered as a reference method for LH screening in T1DM patients. The identified risk factors for the number of LH lesions were related to insulin dosing.

Habits related to the use of insulin infusion set in patients with type 1 diabetes on pump therapy - the effect of the educational intervention.

INTRODUCTION: Proper use of insulin infusion sets (IIS) plays an important role in pump therapy of patients with type 1 diabetes mellitus (T1DM). We assessed the habits associated with the use of IIS in patients with T1DM treated with insulin pump. MATERIALS AND METHODS: This study included 79 T1DM patients who were examined for the presence of lipohypertrophy (LH) and retrained for proper IIS use. They completed a standard questionnaire regarding IIS at the time of study entry and at the follow-up. R e s u l t s: At baseline, most of the patients declared to have been using a plastic cannula (n = 68; 86.1%), changing the infusion set regularly (n = 65; 82.3%), and placing the infusion sets on the abdomen wall (n = 68; 86.1%). The most common rotation habit was the "curve pattern" on both sides of the umbilicus (n = 16; 20.3%). After a median of 23 weeks (IQR 20-34), 58 patients were available for the follow-up. A rise in the proportion of patients who declared to change IIS regularly (n = 48; 82.8% vs. n = 57; 98.3%, p = 0.016), change IIS every 2 to 3 days (n = 27; 46.6% vs. n = 35; 60.3%, p = 0.043), use "crisscross" rotation (n = 5; 8.8% vs. n = 12; 21.4%, p = 0.027) was observed. There were less patients reporting not having repeatable rotation manner (n = 15; 26.3% vs. n = 2; 5.4%, p = 0.009). C o n c l u s i o n s: A substantial proportion of T1DM patients on pump therapy declare that they do not follow the recommended principles of IIS use. The intervention consisting of LH assessment and retrain- ing of proper use of IIS might be effective in improving patient compliance.

Neurological symptoms in hospitalised patients with COVID-19 and their association with in-hospital mortality.

OBJECTIVES: To evaluate the spectrum of neurological symptoms in patients with COVID-19 during the first 14 days of hospitalisation and its association with in-hospital mortality. MATERIAL AND METHODS: We included 200 patients with RT-PCR-confirmed COVID-19 admitted to University Hospital in Krakow, Poland. In 164 patients, a detailed questionnaire concerning neurological symptoms and signs was performed prospectively within 14 days of hospitalisation. In the remaining 36 patients, such questionnaires were completed retrospectively based on daily observations in the Department of Neurology. RESULTS: During hospitalisation, 169 patients (84.5%) experienced neurological symptoms; the most common were: fatigue (62.5%), decreased mood (45.5%), myalgia (43.5%), and muscle weakness (42.5%). Patients who died during hospitalisation compared to the remainder were older (79 [70.5-88.5] vs. 63.5 [51-77] years, p = 0.001), and more often had decreased level of consciousness (50.0% vs. 9.3%, p < 0.001), delirium (33.3% vs. 4.4%, p < 0.001), arterial hypotension (50.0% vs. 19.6%, p = 0.005) or stroke during (18.8% vs. 3.3%, p = 0.026) or before hospitalisation (50.0% vs. 7.1, p < 0.001), whereas those who survived more often suffered from headache (42.1% vs. 0%, p = 0.012) or decreased mood (51.7% vs. 0%, p = 0.003). CONCLUSIONS: Most hospitalised patients with COVID-19 experience neurological symptoms. Decreased level of consciousness, delirium, arterial hypotension, and stroke during or before hospitalisation increase the risk of in-hospital mortality.

The utility of MODY Probability Calculator in probands of families with early-onset autosomal dominant diabetes from Poland.

BACKGROUND: Maturity-onset diabetes of the young (MODY) accounts for 1-2% of all diabetes cases. Unfortunately, circa 90% of MODY cases are misdiagnosed as type 1 or type 2 diabetes. A proper genetic diagnosis based on automatic sequencing is crucial for the use of a tailored treatment. However, this method is still expensive and, thus, patients' selection for testing should be performed precisely. In 2012, an easy-to-use tool was developed in Exeter, UK, to support genetic testing for MODY in the British population. The aim of the study was to assess the utility of MODY Probability Calculator in probands from Polish families with early-onset autosomal dominant diabetes. METHODS: We have performed a retrospective analysis of 155 probands who were qualified for genetic testing between 2006 and 2018. Probands were recruited for MODY testing based on the following criteria: 1) early age of diagnosis (≤35 years); 2) a positive, multigenerational family history of diabetes. Automatic sequencing, Sanger and, in case of initial negative results, new generation sequencing (NGS) of a set of 28 genes, were performed. MODY Probability was calculated on the website www.diabetesgenes.org. RESULTS: The group of probands consisted of 64 GCK-, 37 HNF1A-, and three HNF4A-MODY patients and 51 NGS-negative subjects. The median positive predictive value (PPV) was 75.5% (95% CI: 75.5-75.5%), 49.4% (95% CI: 24.4-75.5%), 45.5% (95% CI: 21.0-75.5%) and 49.4% (95% CI: 32.9-75.5%) for GCK-, HNF1A-, HNF4A-MODY and NGS-negative, respectively. The discriminative accuracy, as expressed by AUC, of PPV between MODY and NGS negative groups was 0.62 (95% CI: 0.52-0.71) with the corresponding sensitivity of 71.2% and specificity of 51.0%. CONCLUSIONS: In this highly pre-selected group of probands that were qualified for genetic testing based on clinical features, the use of MODY Probability Calculator would not substantially improve the patients' selection process for genetic testing. Further efforts to improve this tool are desirable.

Risk factors of hypoglycaemia in type 1 diabetes individuals during intensive sport exercise-Data from the SPORTGIVECHANCE event.

AIMS: Fear of hypoglycaemia seems to be one of the strongest barrier to physical activity for individuals with type 1 diabetes mellitus (T1DM).The aim of the study was to describe clinical characteristics of participants with T1DM in the intense sporting event of runs and bike rides"SPORTGIVECHANCE-Diabetic runners and cyclists for more sport for all in Europe", and investigate factors associated with self-reported hypoglycaemia episodes during the competition, in particular the use of continuous and flash glucose monitoring systems (CGM/FGM). METHODS: The sporting event took place in Spoleto, Italy from 30 August 2018 to 2 September 2018. An online survey was distributed among 150 participants with diabetes. Only T1DM patients were invited to complete the survey that included questions on baseline clinical characteristics as well as glucose control and meal related issues during the competition. Logistic regression was used to determine factors associated with reported hypoglycaemia. RESULTS: There were 35 T1DM individuals who completed the questionnaire: eight subjects were continuous glucose monitoring system (CGM) users, 10 used flash glucose monitoring systems (FGM), while the others performed self-measured blood glucose measurements (SMBG) on glucose meters. Mild hypoglycaemia episodes during the competition were reported by four CGM/FGM users and six non-users (OR: 0.73, CI: 0.34-1.53). No severe hypoglycaemic episode was reported. Body mass index (BMI) (OR: 1.47, CI: 1.01-2.13) and subjectively very hard or maximal intensity of the competition (OR: 4.90, CI: 1.51-15.89) were associated with a higher risk of hypoglycaemia. CONCLUSIONS: Data obtained from the self-selected sample of T1DM patients suggests that T1DM individuals can participate in intense sport competitions with moderate risk of mild hypoglycaemia regardless of CGM/FGM or SMBG use.

A decision algorithm to identify patients with high probability of monogenic diabetes due to HNF1A mutations.

PURPOSE: To investigate the utility of biomarkers of maturity-onset diabetes of the young (MODY), high-sensitivity C-reactive protein (hsCRP), and 1,5-anhydroglucitol (1,5-AG) in conjunction with other clinical and laboratory features to improve diagnostic accuracy and provide a diagnostic algorithm for HNF1A MODY. METHODS: We examined 77 patients with HNF1A MODY, 88 with GCK MODY mutations, 99 with type 1 diabetes, and 92 with type 2 diabetes. In addition to 1,5-AG and hsCRP, we considered body mass index (BMI), fasting glucose, and fasting serum C-peptide as potential biomarkers. Logistic regression and receiver operating characteristic curves were used in marker evaluation. RESULTS: Concentration of hsCRP was lowest in HNF1A MODY (0.51 mg/l) and highest in type 2 diabetes (1.33 mg/l). The level of 1,5-AG was lowest in type 1 diabetes and HNF1A MODY, 3.8 and 4.7 µg/ml, respectively, and highest (11.2 µg/ml) in GCK MODY. In the diagnostic algorithm, we first excluded patients with type 1 diabetes based on low C-peptide (C-statistic 0.98) before using high BMI and C-peptide to identify type 2 diabetes patients (C-statistic 0.92). Finally, 1,5-AG and hsCRP in conjunction yielded a C-statistic of 0.86 in discriminating HNF1A from GCK MODY. We correctly classified 92.9% of patients with type 1 diabetes, 84.8% with type 2 diabetes, 64.9% HNF1A MODY, and 52.3% GCK MODY patients. CONCLUSIONS: Plasma 1,5-AG and serum hsCRP do not discriminate sufficiently HNF1A MODY from common diabetes types, but could be potentially useful in prioritizing Sanger sequencing of HNF1A gene.

Quality of life assessment in patients with HNF1A-MODY and GCK-MODY.

AIM: The impact of maturity onset diabetes of the young (MODY) on quality of life (QoL) has never been examined. We assessed disease impact on QoL among patients with HNF1A-MODY and GCK mutation carrier status. METHODS: The study included 80 patients with HNF1A-MODY and 89 GCK gene mutation carriers. We also examined 128 type 1 diabetes (T1DM) patients for comparison. Diabetes-specific QoL was assessed using the Audit of Diabetes Dependent Quality of Life questionnaire. RESULTS: HNF1A-MODY and GCK-MODY groups had similar mean age (41.7 vs. 38.0 years, respectively) and BMI (24.1 vs. 24.3 kg/m2), whereas T1DM patients were on average younger (34.2 years) with similar BMI (25.0 kg/m2). Less than a third of GCK mutation carriers were on pharmacotherapy (n = 20, 31%), while the majority of HNF1A mutation carriers used oral drugs or insulin (n = 66, 82.5%). While current QoL was similar across the three groups (p = 0.66), two other major indices-the impact of diabetes on QoL and the average weighted impact (AWI)-differed among them (p < 0.001 for both comparisons). The impact of diabetes on patient QoL and AWI observed in both MODY groups was smaller than in T1DM. Etiological diagnosis of diabetes and a diagnosis of retinopathy were the only independent factors influencing the impact of diabetes on QoL and AWI in regression analysis. In HNF1A-MODY, all three major indices of QoL were more heavily influenced for patients on insulin in comparison to other treatment sub-groups. CONCLUSION: MODY has a smaller negative impact on QoL compared to T1DM. Mode of treatment further stratifies QoL decline for HNF1A-MODY subjects.

[Hypoglycemia due to antibodies to exogenous insulin in a patient with type 2 diabetes ­ a case report of treatment with new generation oral hypoglycemic agents].

Hypoglycemic syndromes associated with immune reactions against insulin are rare phenomena described predominantly in Asians. Steroid therapy, immunosuppression or plasmapheresis is often required. Case report: A 73-year-old White woman with a 20-year history of type 2 diabetes was admitted to hospital due to recurrent incidents of hypoglycemia that started several months after insulin initiation (lispro 75/25) and increased in severity over the next 5 years. They were accompanied by postprandial hyperglycemia up to 25 mmol/l. The patient's glycated hemoglobin (HbA1c) was 70 mmol/ mol (8.6%). During hypoglycemic episodes recorded serum C-peptide was 0.57-0.73 nmol/l (1.7-2.2 ng/ml), while insulin concentration exceeded 7000 pmol/l (1000 mIU/l). Surreptitious insulin administration was ruled out as was, based on diagnostic imaging, the presence of an insulin secreting tumor. Anti-insulin antibody (AIA) level measured by 125I-insulin binding method was 92.5% (normal < 8.2%). Hypoglycemic episodes occurred for four days after discontinuation of insulin therapy and then resolved completely. Good glycemic control was maintained with metformin, acarbose and dapagliflozin. Three months later dapagliflozin was replaced with vildagliptine due to poor tolerance of a SGLT-2 inhibitor. Patient's HbA1c was 54 mmol/mol (7.1%), total fasting insulin level 2577 pmol/l and AIA binding 85.9%. Over the next year the patient has not experienced hypoglycemia and maintained good glycemic control, as HbA1c level was 53 mmol/l (7.0%) and AIA binding 39.5%. Conclusions: In this rare case of a patient with diabetes and hypoglycemic syndrome related to AIA, we achieved a rapid and stable remission of hypoglycemia without immunosuppression. Good glycemic control, despite 20-year history of diabetes was achieved with oral hypoglycemic agents.