51 results match your criteria: "UMC - University Children's Hospital[Affiliation]"

Background And Aims: The European Atherosclerosis Society (EAS) Lipid Clinics Network promoted a survey in order to identify and understand how and when lipoprotein(a) [Lp(a)] is tested and clinically evaluated in lipid clinics throughout Europe, and the challenges that may prevent evaluation from being carried out.

Methods: This survey was divided into three areas of inquiry: background and clinical setting information of clinicians, questions for doctors who claimed not to measure Lp(a), in order to understand what were the reasons for not ordering the test, and questions for doctors who measure Lp(a), to investigate the use of this value in the management of patients.

Results: A total of 151 centres clinicians filled in the survey, out of 226 invited.

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Aim: To use continuous glucose monitoring (CGM)-based time-in-range (TIR) as a primary efficacy endpoint to compare the second-generation basal insulin (BI) analogues insulin glargine 300 U/ml (Gla-300) and insulin degludec 100 U/ml (IDeg-100) in adults with type 1 diabetes (T1D).

Materials And Methods: InRange was a 12-week, multicentre, randomized, active-controlled, parallel-group, open-label study comparing glucose TIR and variability between Gla-300 and IDeg-100 using blinded 20-day CGM profiles. The inclusion criteria consisted of adults with T1D treated with multiple daily injections, using BI once daily and rapid-acting insulin analogues for at least 1 year, with an HbA1c of 7% or higher and of 10% or less at screening.

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Consensus Recommendations for the Use of Automated Insulin Delivery Technologies in Clinical Practice.

Endocr Rev

March 2023

Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, UMC - University Children's Hospital, Ljubljana, Slovenia, and Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.

The significant and growing global prevalence of diabetes continues to challenge people with diabetes (PwD), healthcare providers, and payers. While maintaining near-normal glucose levels has been shown to prevent or delay the progression of the long-term complications of diabetes, a significant proportion of PwD are not attaining their glycemic goals. During the past 6 years, we have seen tremendous advances in automated insulin delivery (AID) technologies.

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Article Synopsis
  • Artificial intelligence-driven decision support systems (DSS) should deliver insulin dosage recommendations comparable to those made by expert physicians for individuals with type 1 diabetes.
  • A study involving 20 physicians evaluated their recommendations against those from an automated DSS, focusing on insulin dose adjustments based on patient data.
  • Results showed that the agreement between the automated DSS and physicians on insulin dosage direction was statistically comparable, indicating the potential effectiveness of ED-DSS in clinical settings for insulin management.
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Global impact of COVID-19 on newborn screening programmes.

BMJ Glob Health

March 2022

Department of Endocrinology, Diabetes and Metabolism, UMC - University Children's Hospital Ljubljana; Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia

Introduction: The global COVID-19 pandemic has presented extraordinary disruption to healthcare services and exposed them to numerous challenges. Newborn screening (NBS) programmes were also affected; however, scarce data exist on the impact of COVID-19 on NBS.

Methods: We conducted an international survey to assess the global impact of COVID-19 on NBS, with the main aim of gathering the experiences of the COVID-19 pandemic from a large and representative number of NBS centres worldwide.

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Aims: To update and extend a previous cross-sectional international comparison of glycaemic control in people with type 1 diabetes.

Methods: Data were obtained for 520,392 children and adults with type 1 diabetes from 17 population and five clinic-based data sources in countries or regions between 2016 and 2020. Median HbA (IQR) and proportions of individuals with HbA < 58 mmol/mol (<7.

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Background: Telemedicine for routine care of people with diabetes (PwD) during the COVID-19 pandemic rapidly increased in many countries, helping to address the several barriers usually seen.

Objective: This study aimed to describe healthcare professionals' (HCPs) experience on telemedicine use in diabetes care and investigate the changes and challenges associated with its implementation.

Methods: A cross-sectional electronic survey was distributed through the global network of JENIOUS members of ISPAD.

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The automated pancreas: A review of technologies and clinical practice.

Diabetes Obes Metab

January 2022

Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, UMC - University Children's Hospital, Ljubljana, Slovenia and Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.

Insulin pumps and glucose sensors are effective in improving diabetes therapy and reducing acute complications. The combination of both devices using an algorithm-driven interoperable controller makes automated insulin delivery (AID) systems possible. Many AID systems have been tested in clinical trials and have proven safety and effectiveness.

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Background: We present the results of the pilot study of a multinational "Diabetes Know-Me" project investigating knowledge regarding diabetes of medical students. This is the first collaborative project of the ISPAD JENIOUS group.

Methods: Students of the final year of medical studies from six countries answered a 25-question survey regarding basic knowledge concerning diabetes (1091 surveys handed out, response rate 86%).

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To investigate the short-term effects of the first wave of COVID-19 on clinical parameters in children with type 1 diabetes (T1D) from 82 worldwide centers participating in the Better Control in Pediatric and Adolescent Diabete: orking to Crate Cners of Reference (SWEET) registry. Aggregated data per person with T1D ≤21 years of age were compared between May/June 2020 (first wave), August/September 2020 (after wave), and the same periods in 2019. Hierarchic linear and logistic regression models were applied.

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The international SWEET registry (NCT04427189) was initiated in 2008 to improve outcomes in pediatric diabetes. A 10-year follow-up allowed studying time trends of key quality indicators in 22 centers from Europe, Australia, Canada, and India in youth with type 1 diabetes (T1D). Aggregated data per person with T1D <25 years of age were compared between 2008-2010 and 2016-2018.

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Previous studies have suggested that clear HbA1c target setting by the diabetes team is associated with HbA1c outcomes in adolescents. The aim of this study was to evaluate whether this finding is consistent in a larger cohort of children from centers participating in the SWEET international diabetes registry. A questionnaire was sent out to 76 SWEET centers, of which responses from 53 pediatric centers were included (70%).

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Aim: To investigate the effect of the sodium-glucose co-transporter-2 inhibitor dapagliflozin on glucose levels overnight and during the following day after two unannounced meals under full closed loop (FCL) conditions.

Materials And Methods: For this single-centre, double-blind, randomized, placebo-controlled, cross-over trial, non-obese persons with type 1 diabetes (T1D) were studied twice (10 mg dapagliflozin bid vs. placebo) for 24 hours with two unannounced mixed meal tests 6 hours apart under FCL conditions.

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Physical exercise is an important component in the management of type 1 diabetes across the lifespan. Yet, acute exercise increases the risk of dysglycaemia, and the direction of glycaemic excursions depends, to some extent, on the intensity and duration of the type of exercise. Understandably, fear of hypoglycaemia is one of the strongest barriers to incorporating exercise into daily life.

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Physical exercise is an important component in the management of type 1 diabetes across the lifespan. Yet, acute exercise increases the risk of dysglycaemia, and the direction of glycaemic excursions depends, to some extent, on the intensity and duration of the type of exercise. Understandably, fear of hypoglycaemia is one of the strongest barriers to incorporating exercise into daily life.

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Newborn screening (NBS) is an important part of public healthcare systems in many countries. The provision of information to parents about NBS is now recognised as an integral part of the screening process. Informing parents on all aspects of screening helps to achieve the benefits, promote trust and foster support for NBS.

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Insulin dose optimization using an automated artificial intelligence-based decision support system in youths with type 1 diabetes.

Nat Med

September 2020

The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel.

Despite the increasing adoption of insulin pumps and continuous glucose monitoring devices, most people with type 1 diabetes do not achieve their glycemic goals. This could be related to a lack of expertise or inadequate time for clinicians to analyze complex sensor-augmented pump data. We tested whether frequent insulin dose adjustments guided by an automated artificial intelligence-based decision support system (AI-DSS) is as effective and safe as those guided by physicians in controlling glucose levels.

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