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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.

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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; I2 = 86%) and increased time in target range for sensor glucose level by 13.4 percentage points (MD = 13.4; 14 RCTs; I2 = 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.

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INTRODUCTION: The overall aim of this study was to evaluate the implementation of sodium-glucose cotransporter 2 inhibitors (SGLT2i) among patients in tertiary care with type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD). RESEARCH DESIGN AND METHODS: The cross-sectional analysis was based on outpatients in tertiary diabetes care enrolled in the Swiss Diabetes Registry with T2DM and a study visit January 1, 2020-March 31, 2021. Prevalence of CKD was ascertained as an estimated glomerular filtration rate <60 mL/min/1.73 m2 and/or persistent albuminuria as defined by Kidney Disease Improving Global Outcomes, and the proportion of patients prescribed SGLT2i was determined. Documented reasons for non-treatment with SGLT2i were extracted by a retrospective review of the medical records. RESULTS: Of 368 patients with T2DM, 1.1% (n=4) were excluded due to missing data. Of the remaining 364 patients, 47.3% (n=172) had CKD of which 32.6% (n=56) were prescribed SGLT2i. The majority (75%) of these patients were on treatment already in 2018, before the renoprotective effects of SGLT2i were established. Among the 116 patients without SGLT2i, 19.0% had known contraindications, 9.5% stopped treatment due to adverse events, 5.2% had other reasons, and no underlying reason for non-treatment could be identified for 66.4%. CONCLUSIONS: A divergence between recommended standard of care and implementation in daily clinical practice was observed. Although treatment should always consider patient-specific circumstances, the results highlight the need to reinforce current treatment recommendations to ensure patients benefit from the best available care.

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OBJECTIVE: The aim of this study was to evaluate the prevalence and impact of depression and anxiety symptoms on post-operative prognosis and 1-year all-cause mortality in a large unique cohort of patients with Type 2 diabetes (T2D) and peripheral artery disease (PAD) after partial foot amputation (PFA). METHODS: Prospective cohort study with 1-year follow-up of 785 consecutive patients (mean age 60.9 ± 9.1 years; 64.1% males) with T2D and PAD after PFA. Depressive symptoms were assessed by Patient Health Questionnaire-9 (PHQ-9) and anxiety symptoms by Hamilton Anxiety Rating Scale (HARS). We used multivariable Cox proportional hazard models to examine the association of depression and anxiety with all-cause mortality. RESULTS: One-year all-cause mortality was 16.9% (n = 133). 331 (42.1%) patients had PHQ-9 score ≥ 10 indicating major depressive disorder. After adjusting for confounders, PHQ-9 score ≥ 10 was associated with an increased risk of 1-year all-cause mortality (HR = 1.68 (95%CI[1.16-2.44], p = 0.006). Depression dimensions of negative self-feeling and suicidal ideations were independently associated with 1-year mortality (HR = 1.26 (95%CI[1.24-1.55], p = 0.029 and HR = 2.37 (95%CI[1.89-2.96], p < 0.001, respectively). Compared to no depression, severe depressive symptoms (cut-off≥20) were associated with increased all-cause mortality (HR = 3.9 (95%CI [1.48-10.29], p = 0.006). Compared to no anxiety, severe anxiety symptoms (cut-off>30) were associated with increased 1-year mortality (HR = 2.25(95%CI [1.26-4.05], p = 0.006). CONCLUSION: Depressive symptoms and severe anxiety have shown independently increased risk of 1-year all-cause mortality in patients with T2D and PAD requiring PFA. Our results indicate that screening for anxiety and depression should be considered under these circumstances to identify patients at increased risk to allow appropriate intervention.

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Background: The aim of this study was to evaluate the impact of single and combined effects of persistent medication adherence and compliance with lifestyle recommendations on the incidence of major adverse cardiovascular events (MACE) and one-year all-cause mortality in patients with type 2 diabetes (T2D) and peripheral artery disease (PAD) after partial foot amputation (PFA), representing a unique cohort of patients with advanced stages of atherosclerosis. Methods: This is a prospective cohort study of 785 consecutive patients (mean age 60.9 ± 9.1 years; 64.1% males). Medication adherence was evaluated by using the proportion of days covered (PDC) measure calculation and was defined as a PDC ≥80%. It derived as an average of PDCs of the following four classes of drugs: a) antidiabetics (oral hypoglycemic medications and/or insulin); b) ACEI or ARBs; c) Statins; d) antiplatelet drugs. Lifestyle compliance was defined as a PDC ≥80% comprising of PDCs of a) physical activity of ≥30 minutes per day; b) healthy nutrition and weight management; c) non-smoking. Cox proportional hazard models adjusted for confounders were used. Results: Total all-cause mortality was 16.9% (n = 133) at one-year follow-up. After adjusting for confounders, compared to adherent/compliant patients (n = 432), non-adherent and/or non-compliant patients had an increased risk of one-year mortality: HR = 8.67 (95% CI [5.29, 14.86] in non-adherent/non-compliant patients (n = 184), p < 0.001; HR = 3.81 (95% CI [2.03, 7.12], p < 0.001) in adherent/non-compliant patients (n = 101) and HR = 3.14 (95% CI [1.52, 6.45] p = 0.002) in non-adherent/compliant patients (n = 184). The incidence of MACE followed similar pattern (HR = 9.66 (95% CI [6.55, 14.25] for non-adherence/non-compliance; HR = 3.48 (95% CI [2.09, 5.77] and HR = 3.35 (95% CI [1.89, 5.91], p < 0.001 for single adherence or compliance. Conclusions: Medication adherence and compliance to lifestyle recommendations have shown to be equally effective to reduce the incidence of MACE and one-year mortality in patients with diabetes and PAD after PFA representing a population with highly advanced stages of atherosclerotic disease. Our findings underline the necessity to give lifestyle intervention programs a high priority and that costs for secondary prevention medications should be covered for patients under these circumstances. Lay Summary: This study analyzed the single and combined effects of medication adherence and compliance with lifestyle recommendations on cardiovascular events and mortality in patients with type 2 diabetes and advances stages of atherosclerosis over a period of one year.Evaluation of medication adherence included antidiabetics, statins, dual antiplatelets and ACEI/ARBs, whereas lifestyle recommendations included healthy nutrition, physical activity and smoking cessation.Persistent medication adherence and lifestyle changes have shown to be equally effective to reduce the incidence of MACE and one-year mortality in patients representing a population with highly advanced stages of atherosclerotic disease, and positive effects added up to a double effect if patients were persistently adherent and compliant with both interventions.

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BACKGROUND: Type 2 diabetes (T2D) is expected to worsen the prognosis of inpatients with heart failure (HF) but the evidence from observational studies is inconsistent. We aimed to compare mortality outcomes and life expectancy among inpatients with HF with or without T2D and explored whether chronic kidney disease (CKD) influenced these associations. METHODS: We collected hospital and civil registry records of consecutive inpatients from a tertiary hospital in Switzerland with a diagnosis of HF from the year 2015 to 2019. We evaluated the association of T2D with mortality risk using Cox regression and adjusted for confounders. RESULTS: Our final cohort consisted of 10,532 patients with HF of whom 27% had T2D. The median age (interquartile range [IQR]) was 75 [68 to 82] and 78 [68 to 86] for the diabetes and non-diabetes groups, respectively. Over a median follow-up [IQR] of 4.5 years [3.3 to 5.6], 5,347 (51%) of patients died. T2D patients had higher risk of all-cause mortality (hazard ratio [HR] 1.21, 95% confidence interval [CI] 1.14 to 1.29). Compared to control (i.e. no T2D nor CKD), average life expectancy (95% CI) among T2D patients, CKD, or both was shorter by 5.4 months (95% CI 1.1 to 9.7), 9.0 months (95% CI 8.4 to 9.6), or 14.8 months (95% CI 12.4 to 17.2), respectively. No difference by sex or ejection fraction category was observed. CONCLUSIONS: T2D is associated with a significantly higher risk of all-cause mortality and shorter life expectancy compared to those without among middle-aged and elderly inpatients with HF; presence of CKD may further increase these risks.

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Introduction: The aim of this study was to evaluate the effectiveness of a real-life clinical physical activity program (DIAfit) on improving physical fitness, body composition, and cardiometabolic health in an unselected population with type 2 diabetes mellitus, and to compare the effects of two variants a different exercise frequencies on the same outcomes. Research design and methods: This was a cluster randomized-controlled assessor-blind trial conducted in 11 clinical centres in Switzerland. All participants in the clinical program with type 2 diabetes were eligible and were randomized to either standard (3 sessions/week for 12 weeks) or alternative (1 session/week for the first four weeks, then 2 sessions/week for the rest of 16 weeks) physical activity program each consisting of 36 sessions of combined aerobic and resistance exercise. Allocation was concealed by a central office unrelated to the study. The primary outcome was aerobic fitness. Secondary outcome measures included: body composition, BMI, HbA1c, muscle strength, walking speed, balance, flexibility, blood pressure, lipid profile. Results: All 185 patients with type 2 diabetes (mean age 59.7 +-10.2 years, 48% women) agreed to participate and were randomized in two groups: a standard group (n=88) and an alternative group (n=97)). There was an 11% increase in aerobic fitness after the program (12.5 Watts; 95% CI 6.76 to 18.25; p<0.001). Significant improvements in physical fitness, body composition, and cardiometabolic parameters were observed at the end of the DIAfit program (improvements between 2-29%) except for lean body mass, triglycerides and cholesterol. No differences were observed between both programs, except for a larger weight reduction of -0.97kg (95% CI -0.04 to -1.91; p=0.04) in the standard program. Conclusions: Both frequency variants of the nation-wide DIAfit program had beneficial effects on physical fitness, HbA1c, body composition, and blood pressure in type 2 diabetes patients and differences were negligible. Clinical trial registration: clinicaltrials.gov, identifier NCT01289587.

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AIMS OF THE STUDY: Swiss DAWN2™ aimed to evaluate the difficulties and unmet needs of individuals with diabetes and stakeholders, based on the assessments of diabetes care and self-management: the individual burden of disease, the perception of the quality of medical care, and the treatment satisfaction of individuals with diabetes living in the Canton of Bern. The results of the Swiss cohort were analysed and compared with the global DAWN2™ results. METHODS: 239 adult individuals with diabetes were enrolled in a cross-sectional study at the Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism at the University Hospital of Bern between 2015 and 2017. The participants completed validated online questionnaires regarding health-related quality of life (EQ-5D-3L) and emotional distress (PAID-5), diabetes self-care activities (SDSCA-6), treatment satisfaction (PACIC-DSF), and health-related wellbeing (WHO-5). Eligibility criteria were as follows: participants were aged >18 years, had a diagnosis of diabetes type 1 or 2 since at least 12 months and gave written informed for the participation in the present study. RESULTS: When compared globally, the Swiss cohort reported a higher quality of life (77.28 ± 16.73 vs. 69.3 ± 17.9 EQ-5D-3L score, p <0.001) and lower emotional distress (22.28 ± 20.94 vs. 35.2 ± 24.2 PAID-5 score, p = 0.027). Higher frequencies of self-measurement of blood glucose (6.43 ± 1.68 vs. 3.4 ± 2.8 SDSCA-6 score, p <0.001) and physical activity (4.40 ± 2.04 vs. 3.8 ± 2.7 SDSCA-6 score, p = 0.05) were reported. PACIC-DSF revealed higher satisfaction concerning organisational aspects of patient care (60.3 ± 1.51 vs. 47.3 ± 24.3, p<0.001) and higher health-related well-being as compared to the global score (71.38 ± 23.31 vs. 58 ± 13.8 WHO-5 Well-Being Index, p <0.001). HbA1c >7% correlated to emotional distress (PAID-5, 26.08 ± 23.37 vs. 18.80 ± 17.49, p = 0.024), unfavourable eating habits (4.28 ± 2.22 vs. 4.99 ± 2.15, p = 0.034) and decreased physical activity (3.95 ± 2.16 vs. 4.72 ± 1.92, p = 0.014). Sleeping problems were most commonly reported (35.6%). In total, 28.8% of respondents completed diabetes-related educational programs. CONCLUSION: In global comparison, Swiss DAWN2™ showed a lower burden of disease and yet a higher level of treatment satisfaction in patients who were treated in Switzerland. Further studies are required to assess the quality of diabetes treatment and unmet needs in patients treated outside of a tertiary care center.

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AIMS: In 2019, the European Society of Cardiology/European Atherosclerosis Society updated the 2016 guidelines for the management of dyslipidaemias recommending more stringent low-density lipoprotein cholesterol (LDL-C) targets in diabetes mellitus type 2 (DM2). Based on a real-world patient population, this study aimed to determine the feasibility and cost of attaining guideline-recommended LDL-C targets, and assess cardiovascular benefit. METHODS AND RESULTS: The Swiss Diabetes Registry is a multicentre longitudinal observational study of outpatients in tertiary diabetes care. Patients with DM2 and a visit between 1 January 2018 and 31 August 2019 that failed the 2016 LDL-C target were identified. The theoretical intensification of current lipid-lowering medication needed to reach the 2016 and 2019 LDL-C target was determined and the cost thereof extrapolated. The expected number of major adverse cardiovascular events (MACE) prevented by treatment intensification was estimated. Two hundred and ninety-four patients (74.8%) failed the 2016 LDL-C target. The percentage of patients that theoretically achieved the 2016 and 2019 target with the indicated treatment modifications were high-intensity statin, 21.4% and 13.3%; ezetimibe, 46.6% and 27.9%; proprotein convertase subtilisin/kexin type 9 inhibitor (PCSK9i), 30.6% and 53.7%; ezetimibe and PCSK9i, 1.0% and 3.1%; whereas one (0.3%) and five patients (1.7%) failed to reach target, respectively. Achieving the 2016 vs. 2019 target would reduce the estimated 4-year MACE from 24.9 to 18.6 vs. 17.4 events, at an additional annual cost of medication of 2140 Swiss francs (CHF) vs. 3681 CHF per patient, respectively. CONCLUSIONS: For 68% of the patients, intensifying statin treatment and/or adding ezetimibe would be sufficient to reach the 2016 target, whereas 57% would require cost-intensive PCSK9i therapy to reach the 2019 target, with limited additional medium-term cardiovascular benefit.

Based on 294 patients with type 2 diabetes and elevated low-density lipoprotein (LDL) cholesterol, this study looked at how much patients' lipid-lowering medication would need to be intensified for them to be able to reach the old and the new, lower treatment target for LDL-cholesterol that was introduced in 2019, along with the cost and feasibility, and estimated cardiovascular benefits of doing so. The majority of patients would reach the old LDL-cholesterol target by optimizing therapy with statin and ezetimibe, with a clear expected cardiovascular benefit. It would however be difficult for the majority of patients to reach the new, lower LDL-cholesterol target, as this would require treatment with a proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor. This expensive treatment would not be reimbursed for the majority of patients that would need them. The additional expected cardiovascular benefit was also less clear. Tools that help physicians to weigh the additional reduction in cardiovascular risk that the patient might benefit from by reaching the new rather than the old LDL-cholesterol target against known benefits of targeting other important risk factors (e.g. smoking, physical inactivity, overweight, and obesity) would help guide efficient cardiovascular risk management, and identify patients that would most benefit from PCSK9 inhibitor therapy.

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T helper 9 (TH9) cells promote allergic tissue inflammation and express the type 2 cytokines, IL-9 and IL-13, as well as the transcription factor, PPAR-γ. However, the functional role of PPAR-γ in human TH9 cells remains unknown. Here, we demonstrate that PPAR-γ drives activation-induced glycolysis, which, in turn, promotes the expression of IL-9, but not IL-13, in an mTORC1-dependent manner. In vitro and ex vivo experiments show that the PPAR-γ-mTORC1-IL-9 pathway is active in TH9 cells in human skin inflammation. Additionally, we find dynamic regulation of tissue glucose levels in acute allergic skin inflammation, suggesting that in situ glucose availability is linked to distinct immunological functions in vivo. Furthermore, paracrine IL-9 induces expression of the lactate transporter, MCT1, in TH cells and promotes their aerobic glycolysis and proliferative capacity. Altogether, our findings uncover a hitherto unknown relationship between PPAR-γ-dependent glucose metabolism and pathogenic effector functions in human TH9 cells.

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This Guideline represents the recommendations of the Austrian Diabetes Association (ÖDG) on the use of diabetes technology (insulin pump therapy; continuous glucose monitoring, CGM; hybrid closed-loop systems, HCL; diabetes apps) and access to these technological innovations for people with diabetes mellitus based on current scientific evidence.

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As a first step, the authors emphasise lifestyle changes (increased physical activity, stopping smoking), blood pressure control, and lowering cholesterol). The initial medical treatment should always be a combination treatment with metformin and a sodium-glucose transporter 2 (SGLT-2) inhibitor or a glucagon-like 1 peptide (GLP-1) receptor agonist. Metformin is given first and up-titrated, followed by SGLT-2 inhibitors or GLP-1 receptor agonists. In persons with type 2 diabetes, if the initial double combination is not sufficient, a triple combination (SGLT-2 inhibitor, GLP-1 receptor agonist, and metformin) is recommended. This triple combination has not been officially tested in cardiovascular outcome trials, but there is more and more real-world experience in Europe and in the USA that proves that the triple combination with metformin, SGLT-2 inhibitor, and GLP-1 receptor agonist is the best treatment to reduce 3-point MACE, total mortality, and heart failure as compared to other combinations. The treatment with sulfonylurea is no longer recommended because of its side effects and higher mortality compared to the modern treatment with SGLT-2 inhibitors and GLP-1 receptor agonists. If the triple combination is not sufficient to reduce the HbA1c to the desired target, insulin treatment is necessary. A quarter of all patients with type 2 diabetes (sometimes misdiagnosed) require insulin treatment. If insulin deficiency is the predominant factor at the outset of type 2 diabetes, the order of medications has to be reversed: insulin first and then cardio-renal protective medications (SGLT-2 inhibitors, GLP-1 receptor agonists).

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INTRODUCTION: Medical devices, including high-risk medical devices, have greatly contributed to recent improvements in the management of diabetes. However, the clinical evidence that is submitted for regulatory approval is not transparent, and thus a comprehensive summary of the evidence for high-risk devices approved for managing diabetes in Europe is lacking. In the framework of the Coordinating Research and Evidence for Medical Devices group, we will, therefore, perform a systematic review and meta-analysis, which will evaluate the efficacy, safety and usability of high-risk medical devices for the management of diabetes. METHOD AND ANALYSIS: This study has been reported according to the guidelines of the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols. We will search Embase (Elsevier), Medline All (Ovid), Cochrane Library (Wiley), Science Citation Index Expanded and Emerging Sources Citation Index (Web of Science) to identify interventional and observational studies that evaluate the efficacy and/or safety and/or usability of high-risk medical devices for the management of diabetes. No language or publication dates' limits will be applied. Animal studies will be excluded. In accordance with the Medical Device Regulation in European Union, high-risk medical devices are those in classes IIb and III. The following medical devices for diabetes management are considered as having a high risk: implantable continuous glucose monitoring systems, implantable pumps and automated insulin delivery devices. Selection of studies, data extraction and quality of evidence assessment will be performed independently by two researchers. Sensitivity analysis will be performed to identify and explain potential heterogeneity. ETHICS AND DISSEMINATION: No ethical approval is needed for this systematic review, as it is based in already published data. Our findings will be published in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42022366871.

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AIM: To identify predictive factors for diabetic ketoacidosis (DKA) by retrospective analysis of registry data and the use of a subgroup discovery algorithm. MATERIALS AND METHODS: Data from adults and children with type 1 diabetes and more than two diabetes-related visits were analysed from the Diabetes Prospective Follow-up Registry. Q-Finder, a supervised non-parametric proprietary subgroup discovery algorithm, was used to identify subgroups with clinical characteristics associated with increased DKA risk. DKA was defined as pH less than 7.3 during a hospitalization event. RESULTS: Data for 108 223 adults and children, of whom 5609 (5.2%) had DKA, were studied. Q-Finder analysis identified 11 profiles associated with an increased risk of DKA: low body mass index standard deviation score; DKA at diagnosis; age 6-10 years; age 11-15 years; an HbA1c of 8.87% or higher (≥ 73 mmol/mol); no fast-acting insulin intake; age younger than 15 years and not using a continuous glucose monitoring system; physician diagnosis of nephrotic kidney disease; severe hypoglycaemia; hypoglycaemic coma; and autoimmune thyroiditis. Risk of DKA increased with the number of risk profiles matching patients' characteristics. CONCLUSIONS: Q-Finder confirmed common risk profiles identified by conventional statistical methods and allowed the generation of new profiles that may help predict patients with type 1 diabetes who are at a greater risk of experiencing DKA.

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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.

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BACKGROUND: Bariatric surgery is a treatment option for patients with severe obesity and improves parameters of cardiovascular and/or metabolic disease. Carotid intima media thickness (C-IMT) is a surrogate measure of subclinical atherosclerosis. Previous studies showed short to mid-term arrest and even regression of C­IMT progression following bariatric surgery. We aimed to investigate the long-term effect of weight loss on C­IMT progression 10 years after bariatric surgery in comparison to a population-based control cohort. METHODS: In total, 21 eligible patients were examined preoperatively, at 5 and 10 years after bariatric surgery. Anthropometric parameters, plasma triglycerides, total cholesterol, high-density lipoprotein cholesterol (HDL-C), insulin, and glucose were assessed at all three study visits. C­IMT was measured via B­mode scans of the common carotid artery. C­IMT progression was measured in an age-matched and BMI-matched cohort selected from the population-based Bruneck study to compare with changes in C­IMT progression after bariatric surgery. RESULTS: C­IMT remained stable over the 10-year observation period after bariatric surgery. The control cohort showed a significant C­IMT progression over 10 years. The difference in C­IMT progression over 10 years was significant (p < 0.01) between both cohorts. CONCLUSION: Weight loss induced by bariatric surgery halts the natural progression of C­IMT over a 10-year observation period.

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AIMS OF THE STUDY: To assess glucose levels in adults with diabetes at a Swiss tertiary hospital when transitioning from insulin delivery with a sensor-augmented pump with (predictive) low-glucose suspend ([P]LGS) to a hybrid-closed loop (HCL) and from a HCL to an advanced hybrid-closed loop (AHCL). METHODS: Continuous glucose monitoring data for 44 adults with type 1 diabetes transitioning from (P)LGS to hybrid-closed loop and from hybrid-closed loop to advanced hybrid-closed loop were analysed, including the percentage of time spent within, below, and above glucose ranges. In addition, a subgroup analysis (n = 14) of individuals undergoing both transitions was performed. RESULTS: The transition from a (P)LGS to a hybrid-closed loop was associated with increased time in range (6.6% [2.6%-12.7%], p <0.001) and decreased time above range (5.6% [2.3%-12.7%], p <0.001). The transition from a hybrid-closed loop to an advanced hybrid-closed loop was associated with increased time in range (1.6% [-0.5%-4.5%], p = 0.046) and decreased time above range (1.5% [-1.8%-5.6%], p = 0.050). Both transitions did not change the time below range. In the subgroup analysis ([P]LGS → HCL → AHCL), the time in range increased from 69.4% (50.3%-79.2%) to 76.5% (65.3%-81.3%) and 78.7% (69.7%-85.8%), respectively (p <0.001). CONCLUSIONS: Glucose levels significantly improved when transitioning from a (P)LGS to a hybrid-closed loop. Glucose levels improved further when switching from a hybrid-closed loop to an advanced hybrid-closed loop. However, the added benefit of an advanced hybrid-closed loop was comparably smaller. This pattern was also reflected in the subgroup analysis.

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METHODS: This is a single-center prospective cohort study including 199 consecutive patients with T2D, PAD (mean age 62.3 ± 7.2 years; 62.8% males), and preoperative CACS and CCTA undergoing PFA and followed-up over 1 year. RESULTS: Over a period of 1 year follow-up, a total of 35 (17.6%) participants died. The area under ROC curve to predict mortality for the CACS was 0.835 (95% CI:0.769-0.900), for CCTA 0.858 (95% CI:0.788-0.927). After adjustment for confounders, compared to no-stenosis on CCTA (reference), the risk of all-cause mortality in non-obstructive coronary atery disease (CAD) increased (HR = 1.38, 95% CI [0.75-12.86], p = .284), 1-vessel obstructive CAD (HR = 8.13, 95% CI [0.87-75.88], p = .066), 2-vessels (HR = 10.94, 95% CI [1.03-115.8], p = .047), and 3-vessels (HR = 45.73, 95% CI [4.6-454.7], p = .001) respectively. Increasing levels of CACS tended to be associated with increased risk of all-cause mortality (HR = 1.002, 95% CI [1.0-1.003], p = .061). 61/95 patients with obstructive CAD underwent coronary revascularization. CONCLUSIONS: Coronary artery calcium score and CCTA have a high predictive value for 1-year all-cause mortality in T2D patients undergoing minor amputations and may be considered for preoperative risk assessment allowing timely preventive interventions.

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