Diabetes Spectrum最新文献

{"title":"Automated Insulin Delivery for Type 1 Diabetes: Present and Future.","authors":"Tugce Akcan, Ming Yeh Lee, Leor Needleman, Rayhan A Lal","doi":"10.2337/dsi25-0003","DOIUrl":"10.2337/dsi25-0003","url":null,"abstract":"<p><p>Advancements in automated insulin delivery (AID) systems have transformed type 1 diabetes management, making AID the most effective technology for improving metabolic outcomes and quality of life in individuals with the disease. In this article, we review the available AID systems and their key features through case vignettes that illustrate their real-world applications in type 1 diabetes management. We then examine existing gaps in technology and explore future advancements to further enhance AID functionality and adoption.</p>","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"38 3","pages":"217-227"},"PeriodicalIF":0.0,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357200/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144875726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dosing Algorithms for Insulin Pumps.","authors":"Ali Cinar","doi":"10.2337/dsi25-0004","DOIUrl":"10.2337/dsi25-0004","url":null,"abstract":"<p><p>Advances in insulin pumps and dosing algorithms have improved the regulation of blood glucose concentrations, reduced the frequency of hyperglycemic and hypoglycemic episodes, and improved quality of life for people with diabetes and their families. Whereas nonautomated or standard insulin pumps may work with a smartphone app to provide information to reduce the workload of users, major advances have been made in automated insulin delivery (AID) system pumps that adjust insulin infusion rates via proprietary algorithms in real time based on data from a continuous glucose monitoring sensor that communicates with the AID pump to take over additional tasks. Improvements in these algorithms are reducing the burden on users today, while the next generation of AID systems, with full automation, are under development.</p>","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"38 3","pages":"209-216"},"PeriodicalIF":0.0,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357213/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144875729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automating Insulin Dosing and Delivery: The Latest in Algorithms, Calculators, and Devices.","authors":"Rebecca Rick Longo","doi":"10.2337/dsi25-0006","DOIUrl":"10.2337/dsi25-0006","url":null,"abstract":"","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"38 3","pages":"205-207"},"PeriodicalIF":0.0,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357198/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144875727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"About Rebecca Rick Longo: Guest Editor.","authors":"","doi":"10.2337/ds25-ge03","DOIUrl":"10.2337/ds25-ge03","url":null,"abstract":"","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"38 3","pages":"208"},"PeriodicalIF":0.0,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357192/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144875723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inpatient Insulin Dosing Calculators.","authors":"Jessica J Hansen, Grace M Bacani, Patricia S Juang, Kristen M Kulasa","doi":"10.2337/dsi25-0002","DOIUrl":"10.2337/dsi25-0002","url":null,"abstract":"<p><p>Inpatient insulin calculators offer the potential to improve blood glucose management, simplify workflow, and address the growing demand for inpatient diabetes care. Implementation of computerized insulin protocols remains a challenge at individual institutions.</p>","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"38 3","pages":"249-258"},"PeriodicalIF":0.0,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357204/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144875789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Insulin Pumps for Individuals With Type 2 Diabetes.","authors":"Sean Brown, Giulio R Romeo, Elena Toschi","doi":"10.2337/dsi25-0005","DOIUrl":"10.2337/dsi25-0005","url":null,"abstract":"<p><p>In recent years, an increasing number of studies have focused on the use of insulin pump therapy for managing type 2 diabetes. This article explores the various insulin pump therapy options, summarizes the current literature, and discusses key clinical considerations, including device selection, patient eligibility, and special populations such as young adults, older adults, and women during pregnancy. The authors provide a table outlining the benefits and barriers of commercially available pump systems to assist clinicians in making informed decisions about starting insulin pump therapy in adults with type 2 diabetes.</p>","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"38 3","pages":"228-238"},"PeriodicalIF":0.0,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357196/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144875790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Connected Insulin Pens and Pen Caps: Expanding Diabetes Technology Access and Adoption.","authors":"Janice MacLeod","doi":"10.2337/dsi25-0001","DOIUrl":"10.2337/dsi25-0001","url":null,"abstract":"<p><p>With the availability of connected insulin pens and pen caps, the most used insulin delivery method around the world has entered the digital age and enabled data-informed care for a broader population. Data from these devices are revealing gaps in care for people on multiple daily injection insulin therapy. Incorporating connected insulin pens and pen caps can significantly improve diabetes management for the people who use them by supporting precision insulin injection management. Health care providers are encouraged to embrace these capabilities and develop person-centric practice protocols for their use. Doing so will expand access to and adoption of diabetes technology for all individuals on insulin therapy, regardless of how they choose to administer their insulin.</p>","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"38 3","pages":"239-248"},"PeriodicalIF":0.0,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357201/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144875728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Parent Engagement in School Health Decisions for Type 1 Diabetes: Barriers to and Facilitators of Collaboration and Implications for Intervention Design.","authors":"Elissa Naame, Martha Pangburn, Jacquelin Rankine, Ingrid Libman, Christine A March","doi":"10.2337/ds25-0004","DOIUrl":"10.2337/ds25-0004","url":null,"abstract":"<p><strong>Objective: </strong>Parent engagement is a frequently cited barrier to school health interventions. Little is known about what influences parent involvement in school health decisions for children with chronic conditions such as type 1 diabetes. We aimed to explore parent perspectives on the factors they believe affect their engagement in school-based type 1 diabetes management to identify potential targets for intervention design and implementation.</p><p><strong>Research design and methods: </strong>We conducted semi-structured interviews with 27 parents of 28 school-aged children (6-15 years of age) with type 1 diabetes from a large academic center. Interview guide questions explored parents' experiences, communication, and relationships with school staff; the impact of diabetes technology; and perceptions of direct communication between schools and health systems. Interviews transcripts were analyzed using a consensus coding approach with thematic analysis to align with the social-ecological model.</p><p><strong>Results: </strong>Parents identified four categories of factors that affected their engagement in school health decisions: <i>1</i>) child-specific factors, such as proximity to diagnosis, self-management skills, and the use of technology; <i>2</i>) family-specific factors, including personal motivations for their child's experience in school and external stressors and demands that may compete with their motivations; <i>3</i>) interpersonal relationships, including parents' trust or mistrust in school health staff and the perceived role of school health staff within the medical team; and <i>4</i>) school district factors, including health staffing and policies for device use.</p><p><strong>Conclusion: </strong>Parental engagement in school-based diabetes care is complex and multifaceted. Using well-timed interventions that address parent priorities, foster trust, enhance communication, and engage technology may mitigate barriers.</p>","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"38 3","pages":"359-367"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357209/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144875793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adherence to Type 1 Diabetes Care Visits After Transfer From Pediatric to Adult Care: A Prospective Cohort Study.","authors":"Simon Lafontaine, Elise Mok, Jennifer Frei, Kaberi Dasgupta, Elham Rahme, Marc Dorais, Lorraine Bell, Meranda Nakhla","doi":"10.2337/ds24-0090","DOIUrl":"10.2337/ds24-0090","url":null,"abstract":"<p><strong>Objective: </strong>The objectives of this study were to describe health care utilization by adolescents and young adults with type 1 diabetes after transfer from pediatric to adult care and to determine predictors of nonadherence to diabetes care visits after this transition.</p><p><strong>Research design and methods: </strong>This was a prospective cohort study following adolescents with type 1 diabetes for 18 months after their last pediatric visit from 2017 to 2021. We assessed health care utilization using Quebec health administrative data. The primary exposure was delay in establishing adult diabetes care, defined as a delay of >6 months between the last pediatric and the first adult diabetes care visit. Secondary exposures were self-reported self-efficacy, transition readiness, and diabetes distress before transferring to adult care. The primary outcome was nonadherence, defined as having gap(s) of >6 months between adult diabetes care visits. Secondary outcomes were one or more diabetes-related emergency department (ED) visit and one or more diabetes-related hospitalization. We used multivariable logistic regression to identify predictors of nonadherence to diabetes care visits after transition to adult care.</p><p><strong>Results: </strong>Fifteen of 74 participants (20%) had delays in establishing adult diabetes care. Twenty participants (27%) were nonadherent to adult diabetes care visits. Six participants (8.1%) had one or more ED visit, and one participant (1.4%) was hospitalized after transferring to adult care. Delay in establishing adult care was associated with subsequent nonadherence to adult diabetes care visits (adjusted odds ratio 29.9, 95% CI 5.3-169.9).</p><p><strong>Conclusion: </strong>Health care utilization after transfer to adult care is suboptimal in young adults with type 1 diabetes. Delayed transfer of care puts young adults at risk of disengaging from adult diabetes care.</p>","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"38 3","pages":"327-334"},"PeriodicalIF":0.0,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357207/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144875725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Case Report on the Metabolic Effects of a Very-Low-Carbohydrate Ketogenic Diet in a Patient With <i>HNF1A</i>-Related Maturity-Onset Diabetes of the Young.","authors":"Anum Sheikh, Sadia Nasir, Catherine Flanagan, Latika Sibal","doi":"10.2337/ds24-0083","DOIUrl":"10.2337/ds24-0083","url":null,"abstract":"","PeriodicalId":39737,"journal":{"name":"Diabetes Spectrum","volume":"38 3","pages":"372-376"},"PeriodicalIF":0.0,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357205/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144875722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}