Diabetes CarePub Date : 2023-11-01DOI: 10.2337/dc23-0760
Leah E Cahill, Rachel A Warren, Allie S Carew, Andrew P Levy, Henry N Ginsberg, John Sapp, Orit Lache, Eric B Rimm
{"title":"The Relationship Between Time-Varying Achieved HbA1c and Risk of Coronary Events Depends on Haptoglobin Phenotype Among White and Black ACCORD Participants.","authors":"Leah E Cahill, Rachel A Warren, Allie S Carew, Andrew P Levy, Henry N Ginsberg, John Sapp, Orit Lache, Eric B Rimm","doi":"10.2337/dc23-0760","DOIUrl":"10.2337/dc23-0760","url":null,"abstract":"<p><strong>Objective: </strong>Intensive glycemic therapy reduced coronary artery disease (CAD) events among White participants in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study with the haptoglobin (Hp)2-2 phenotype, while participants without the Hp2-2 phenotype had no CAD benefit. The association between achieved glycated hemoglobin (HbA1c) and CAD for each Hp phenotype remains unknown.</p><p><strong>Research design and methods: </strong>Achieved HbA1c was similar in each phenotype throughout the study. Prospectively collected HbA1c data (categorized as <6.0%, 6.0-6.5%, 6.6-6.9%, or ≥8.0% compared with 7.0-7.9%) from the ACCORD study, updated every 4 months over a median of 4.7 years, were analyzed in relation to CAD in the Hp2-2 (n = 3,322) and non-Hp2-2 (n = 5,949) phenotypes separately overall, and within White (63%, 37% Hp2-2) and Black (19%, 26% Hp2-2) participants using Cox proportional hazards regression with time-varying covariables.</p><p><strong>Results: </strong>Compared with HbA1c of 7.0-7.9%, having HbA1c ≥8.0% was associated with CAD risk among White (adjusted HR [aHR] 1.43, 95% CI 1.03-1.98) and Black (2.86, 1.09-7.51) participants with the Hp2-2 phenotype, but not when all Hp2-2 participants were combined overall (1.30, 0.99-1.70), and not among participants without the Hp2-2 phenotype. HbA1c <7.0% was not associated with a lower risk of CAD for any Hp phenotype.</p><p><strong>Conclusions: </strong>Achieving HbA1c >8.0% compared with 7.0-7.9% was consistently associated with incident CAD risk among White and Black ACCORD participants with the Hp2-2 phenotype, while no association was observed among participants without the Hp2-2 phenotype. We found no evidence that HbA1c concentration <7.0% prevents CAD in either Hp phenotype group.</p>","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":null,"pages":null},"PeriodicalIF":16.2,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10111189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes CarePub Date : 2023-11-01DOI: 10.2337/dc23-0840
Cimon Song, Sharon Dhaliwal, Priya Bapat, Daniel Scarr, Abdulmohsen Bakhsh, Dalton Budhram, Natasha J Verhoeff, Alanna Weisman, Michael Fralick, Noah M Ivers, David Z I Cherney, George Tomlinson, Leif Erik Lovblom, Doug Mumford, Bruce A Perkins
{"title":"Point-of-Care Capillary Blood Ketone Measurements and the Prediction of Future Ketoacidosis Risk in Type 1 Diabetes.","authors":"Cimon Song, Sharon Dhaliwal, Priya Bapat, Daniel Scarr, Abdulmohsen Bakhsh, Dalton Budhram, Natasha J Verhoeff, Alanna Weisman, Michael Fralick, Noah M Ivers, David Z I Cherney, George Tomlinson, Leif Erik Lovblom, Doug Mumford, Bruce A Perkins","doi":"10.2337/dc23-0840","DOIUrl":"10.2337/dc23-0840","url":null,"abstract":"<p><strong>Objective: </strong>Rather than during illness while diabetic ketoacidosis (DKA) is developing, we aimed to determine if levels of routine point-of-care capillary blood ketones could predict future DKA.</p><p><strong>Research design and methods: </strong>We examined previously collected data from placebo-assigned participants in an adjunct-to-insulin medication trial program that included measurement of fasted capillary blood ketone levels twice per week in a 2-month baseline period. The outcome was 6- to 12-month trial-adjudicated DKA.</p><p><strong>Results: </strong>DKA events occurred in 12 of 484 participants at a median of 105 (interquartile range 43, 199) days. Maximum ketone levels were higher in patient cases compared with in control patients (0.8 [0.6, 1.2] vs. 0.3 [0.2, 0.7] mmol/L; P = 0.002), with a nonparametric area under the receiver operating characteristic curve of 0.77 (95% CI 0.66-0.88). Ketone levels ≥0.8 mmol/L had a sensitivity of 64%, a specificity of 78%, and positive and negative likelihood ratios of 2.9 and 0.5, respectively.</p><p><strong>Conclusions: </strong>This proof of concept that routine capillary ketone surveillance can identify individuals at high risk of future DKA implies a role for future technologies including continuous ketone monitoring.</p>","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":null,"pages":null},"PeriodicalIF":16.2,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10458652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes CarePub Date : 2023-11-01DOI: 10.2337/dc23-0696
Thirunavukkarasu Sathish, Kamlesh Khunti, K M Venkat Narayan, Viswanathan Mohan, Melanie J Davies, Thomas Yates, Brian Oldenburg, Kavumpurathu R Thankappan, Robyn J Tapp, Ram Bajpai, Ranjit Mohan Anjana, Mary B Weber, Mohammed K Ali, Jonathan E Shaw
{"title":"Effect of Conventional Lifestyle Interventions on Type 2 Diabetes Incidence by Glucose-Defined Prediabetes Phenotype: An Individual Participant Data Meta-analysis of Randomized Controlled Trials.","authors":"Thirunavukkarasu Sathish, Kamlesh Khunti, K M Venkat Narayan, Viswanathan Mohan, Melanie J Davies, Thomas Yates, Brian Oldenburg, Kavumpurathu R Thankappan, Robyn J Tapp, Ram Bajpai, Ranjit Mohan Anjana, Mary B Weber, Mohammed K Ali, Jonathan E Shaw","doi":"10.2337/dc23-0696","DOIUrl":"10.2337/dc23-0696","url":null,"abstract":"<p><strong>Objective: </strong>To examine whether the effect of conventional lifestyle interventions on type 2 diabetes incidence differs by glucose-defined prediabetes phenotype.</p><p><strong>Research design and methods: </strong>We searched multiple databases until 1 April 2023 for randomized controlled trials that recruited people with isolated impaired fasting glucose (i-IFG), isolated impaired glucose tolerance (i-IGT), and impaired fasting glucose plus impaired glucose tolerance (IFG+IGT). Individual participant data were pooled from relevant trials and analyzed through random-effects models with use of the within-trial interactions approach.</p><p><strong>Results: </strong>Four trials with 2,794 participants (mean age 53.0 years, 60.7% men) were included: 1,240 (44.4%), 796 (28.5%), and 758 (27.1%) had i-IFG, i-IGT, and IFG+IGT, respectively. After a median of 2.5 years, the pooled hazard ratio for diabetes incidence in i-IFG was 0.97 (95% CI 0.66, 1.44), i-IGT 0.65 (0.44, 0.96), and IFG+IGT 0.51 (0.38, 0.68; Pinteraction = 0.01).</p><p><strong>Conclusions: </strong>Conventional lifestyle interventions reduced diabetes incidence in people with IGT (with or without IFG) but not in those with i-IFG.</p>","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":null,"pages":null},"PeriodicalIF":14.8,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620543/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10122669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes CarePub Date : 2023-11-01DOI: 10.2337/dc23-1137
Kirsten Nørgaard, Ajenthen G Ranjan, Christian Laugesen, Katrine G Tidemand, Allan Green, Christian Selmer, Jannet Svensson, Henrik U Andersen, Dorte Vistisen, Bendix Carstensen
{"title":"Glucose Monitoring Metrics in Individuals With Type 1 Diabetes Using Different Treatment Modalities: A Real-World Observational Study.","authors":"Kirsten Nørgaard, Ajenthen G Ranjan, Christian Laugesen, Katrine G Tidemand, Allan Green, Christian Selmer, Jannet Svensson, Henrik U Andersen, Dorte Vistisen, Bendix Carstensen","doi":"10.2337/dc23-1137","DOIUrl":"10.2337/dc23-1137","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to investigate the association between continuous glucose monitoring (CGM)-derived glycemic metrics and different insulin treatment modalities using real-world data.</p><p><strong>Research design and methods: </strong>A cross-sectional study at Steno Diabetes Center Copenhagen, Denmark, included individuals with type 1 diabetes using CGM. Data from September 2021 to August 2022 were analyzed if CGM was used for at least 20% of a 4-week period. Individuals were divided into four groups: multiple daily injection (MDI) therapy, insulin pumps with unintegrated CGM (SUP), sensor-augmented pumps with low glucose management (SAP), and automated insulin delivery (AID). The MDI and SUP groups were further subdivided based on CGM alarm features. The primary outcome was percentage of time in range (TIR: 3.9-10.0 mmol/L) for each treatment group. Secondary outcomes included other glucose metrics and HbA1c.</p><p><strong>Results: </strong>Out of 6,314 attendees, 3,184 CGM users were included in the analysis. Among them, 1,622 used MDI, 504 used SUP, 354 used SAP, and 561 used AID. Median TIR was 54.0% for MDI, 54.9% for SUP, 62,9% for SAP, and 72,1% for AID users. The proportion of individuals achieving all recommended glycemic targets (TIR >70%, time above range <25%, and time below range <4%) was significantly higher in SAP (odds ratio [OR] 2.4 [95% CI 1.6-3.5]) and AID (OR 9.4 [95% CI 6.7-13.0]) compared with MDI without alarm features.</p><p><strong>Conclusions: </strong>AID appears superior to other insulin treatment modalities with CGM. Although bias may be present because of indications, AID should be considered the preferred choice for insulin pump therapy.</p>","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":null,"pages":null},"PeriodicalIF":16.2,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10108650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes CarePub Date : 2023-11-01DOI: 10.2337/dc23-0872
Julio Rosenstock, Luis Vázquez, Stefano Del Prato, Denise Reis Franco, Govinda Weerakkody, Biyue Dai, Laura Fernández Landó, Brandon K Bergman, Angel Rodríguez
{"title":"Achieving Normoglycemia With Tirzepatide: Analysis of SURPASS 1-4 Trials.","authors":"Julio Rosenstock, Luis Vázquez, Stefano Del Prato, Denise Reis Franco, Govinda Weerakkody, Biyue Dai, Laura Fernández Landó, Brandon K Bergman, Angel Rodríguez","doi":"10.2337/dc23-0872","DOIUrl":"10.2337/dc23-0872","url":null,"abstract":"<p><strong>Objective: </strong>Tirzepatide is a novel single-molecule glucose-dependent insulinotropic polypeptide/glucagon-like peptide 1 receptor agonist, which demonstrated unprecedented improvements in glycemic control and body weight reduction, in the SURPASS phase 3 program. In this exploratory analysis, we aimed to characterize tirzepatide-treated participants who achieved HbA1c <5.7% and evaluate changes in clinical markers associated with long-term cardiometabolic health.</p><p><strong>Research design and methods: </strong>Baseline characteristics and change from baseline to week 40 for several efficacy and safety parameters were analyzed according to HbA1c attainment category (<5.7%, 5.7-6.5%, and >6.5%) using descriptive statistics in participants taking ≥75% of treatment doses, without rescue medication, in the SURPASS 1-4 trials (N = 3,229). Logistic regression models with tirzepatide doses adjusted as a covariate were used to obtain odds ratios and assess the impact of patient characteristics achieving an HbA1c <5.7%.</p><p><strong>Results: </strong>Tirzepatide-treated participants who achieved HbA1c <5.7% were slightly younger, with a shorter duration of diabetes and lower HbA1c value at baseline compared with those who did not achieve HbA1c <5.7%. In addition, they showed greater improvements in HbA1c, body weight, waist circumference, blood pressure, liver enzymes, and lipid parameters without increasing hypoglycemia risk.</p><p><strong>Conclusions: </strong>Normoglycemia was unprecedently achieved in a significant proportion of participants in the SURPASS clinical program, without increasing hypoglycemia risk, and was associated with an overall improvement in metabolic health.</p>","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":null,"pages":null},"PeriodicalIF":16.2,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620542/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10523502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes CarePub Date : 2023-11-01DOI: 10.2337/dc23-0124
Jasaman Tojjar, Matti Cervin, Emma Hedlund, Qefsere Brahimi, Gun Forsander, Helena Elding Larsson, Johnny Ludvigsson, Ulf Samuelsson, Claude Marcus, Martina Persson, Annelie Carlsson
{"title":"Sex Differences in Age of Diagnosis, HLA Genotype, and Autoantibody Profile in Children With Type 1 Diabetes.","authors":"Jasaman Tojjar, Matti Cervin, Emma Hedlund, Qefsere Brahimi, Gun Forsander, Helena Elding Larsson, Johnny Ludvigsson, Ulf Samuelsson, Claude Marcus, Martina Persson, Annelie Carlsson","doi":"10.2337/dc23-0124","DOIUrl":"10.2337/dc23-0124","url":null,"abstract":"<p><strong>Objective: </strong>To examine sex differences in children with newly diagnosed type 1 diabetes (T1D) with respect to age at diagnosis, presence of autoantibodies (GAD antibody [GADA], insulinoma-associated protein 2 [IA-2A], insulin autoantibody [IAA], and zinc transporter 8 autoantibody), and HLA risk.</p><p><strong>Research design and methods: </strong>A population-based nationwide sample of 3,645 Swedish children at T1D diagnosis was used.</p><p><strong>Results: </strong>Girls were younger at T1D diagnosis (9.53 vs. 10.23 years; P < 0.001), more likely to be autoantibody-positive (94.7% vs. 92.0%; P = 0.002), more often positive for multiple autoantibodies (P < 0.001), more likely to be positive for GADA (64.9% vs. 49.0%; P < 0.001), and less likely to be positive for IAA (32.3% vs. 33.8%; P = 0.016). Small sex differences in HLA risk were found in children <9 years of age.</p><p><strong>Conclusions: </strong>The disease mechanisms leading to T1D may influence the immune system differently in girls and boys.</p>","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":null,"pages":null},"PeriodicalIF":16.2,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10214242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes CarePub Date : 2023-11-01DOI: 10.2337/dc23-1013
Francesco Zaccardi, Suping Ling, Karen Brown, Melanie Davies, Kamlesh Khunti
{"title":"Duration of Type 2 Diabetes and Incidence of Cancer: An Observational Study in England.","authors":"Francesco Zaccardi, Suping Ling, Karen Brown, Melanie Davies, Kamlesh Khunti","doi":"10.2337/dc23-1013","DOIUrl":"10.2337/dc23-1013","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the association between duration of type 2 diabetes and cancer incidence.</p><p><strong>Research design and methods: </strong>In the Clinical Practice Research Datalink database, we identified 130,764 individuals with type 2 diabetes aged ≥35 years at diagnosis who were linked to hospital and mortality records. We used sex-stratified Royston-Parmar models with two timescales to estimate incidence rates of all cancers, the four commonest cancers in the U.K. (colorectal, lung, prostate, breast), and the obesity-related cancers (e.g., liver, ovary) between 1 January 1998 and 14 January 2019, by age and diabetes duration.</p><p><strong>Results: </strong>During 1,089,923 person-years, 18,977 incident cancers occurred. At the same age, rates of all cancers in men and women did not vary across durations ranging from diagnosis to 20 years; conversely, for any duration, there was a strong, positive association between age and cancer rates. In men, the rate ratio (95% CI) comparing 20 with 5 years of duration was 1.18 (0.82-1.69) at 60 years of age and 0.90 (0.75-1.08) at 80 years; corresponding ratios in women were 1.07 (0.71-1.63) and 0.84 (0.66-1.05). This pattern was observed also for the four commonest cancers. For obesity-related cancers, although rates were generally higher in individuals with a higher BMI, there was no association with duration at any level of BMI.</p><p><strong>Conclusions: </strong>In this study, we did not find evidence of an association between duration of type 2 diabetes and risk of cancer, with the higher risk observed for longer durations related to ageing.</p>","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":null,"pages":null},"PeriodicalIF":16.2,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10113196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes CarePub Date : 2023-11-01DOI: 10.2337/dc23-er11
Jessica L Harding, Pandora L Wander, Xinge Zhang, Xia Li, Suvi Karuranga, Hongzhi Chen, Hong Sun, Yuting Xie, Richard A Oram, Dianna J Magliano, Zhiguang Zhou, Alicia J Jenkins, Ronald C W Ma
{"title":"Erratum. The Incidence of Adult-Onset Type 1 Diabetes: A Systematic Review From 32 Countries and Regions. Diabetes Care 2022;45:994-1006.","authors":"Jessica L Harding, Pandora L Wander, Xinge Zhang, Xia Li, Suvi Karuranga, Hongzhi Chen, Hong Sun, Yuting Xie, Richard A Oram, Dianna J Magliano, Zhiguang Zhou, Alicia J Jenkins, Ronald C W Ma","doi":"10.2337/dc23-er11","DOIUrl":"10.2337/dc23-er11","url":null,"abstract":"","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":null,"pages":null},"PeriodicalIF":16.2,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620534/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10395524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes CarePub Date : 2023-11-01DOI: 10.2337/dc23-0834
Mary M Barker, Melanie J Davies, Jack A Sargeant, Juliana C N Chan, Edward W Gregg, Sharmin Shabnam, Kamlesh Khunti, Francesco Zaccardi
{"title":"Age at Type 2 Diabetes Diagnosis and Cause-Specific Mortality: Observational Study of Primary Care Patients in England.","authors":"Mary M Barker, Melanie J Davies, Jack A Sargeant, Juliana C N Chan, Edward W Gregg, Sharmin Shabnam, Kamlesh Khunti, Francesco Zaccardi","doi":"10.2337/dc23-0834","DOIUrl":"10.2337/dc23-0834","url":null,"abstract":"<p><strong>Objective: </strong>To examine the associations between age at type 2 diabetes diagnosis and the relative and absolute risk of all-cause and cause-specific mortality in England.</p><p><strong>Research design and methods: </strong>In this cohort study using primary care data from the Clinical Practice Research Datalink, we identified 108,061 individuals with newly diagnosed type 2 diabetes (16-50 years of age), matched to 829,946 individuals without type 2 diabetes. We estimated all-cause and cause-specific mortality (cancer, cardiorenal, other [noncancer or cardiorenal]) by age at diagnosis, using competing-risk survival analyses adjusted for key confounders.</p><p><strong>Results: </strong>Comparing individuals with versus without type 2 diabetes, the relative risk of death decreased with an older age at diagnosis: the hazard ratio for all-cause mortality was 4.32 (95% CI 3.35-5.58) in individuals diagnosed at ages 16-27 years compared with 1.53 (95% CI 1.46-1.60) at ages 48-50 years. Smaller relative risks by increasing age at diagnosis were also observed for cancer, cardiorenal, and noncancer or cardiorenal death. Irrespective of age at diagnosis, the 10-year absolute risk of all-cause and cause-specific mortality were higher in individuals with type 2 diabetes; yet, the absolute differences were small.</p><p><strong>Conclusions: </strong>Although the relative risk of death in individuals with versus without type 2 was higher at younger ages, the 10-year absolute risk of all investigated causes of death was small and similar in the two groups. Further multidecade studies could help estimate the long-term risk of complications and death in individuals with early-onset type 2 diabetes.</p>","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":null,"pages":null},"PeriodicalIF":16.2,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10448260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes CarePub Date : 2023-11-01DOI: 10.2337/dc23-0518
Maria Lönnrot, Kristian F Lynch, Marian Rewers, Åke Lernmark, Kendra Vehik, Beena Akolkar, William Hagopian, Jeffrey Krischer, Rickhard A McIndoe, Jorma Toppari, Anette-G Ziegler, Joseph F Petrosino, Richard Lloyd, Heikki Hyöty
{"title":"Gastrointestinal Infections Modulate the Risk for Insulin Autoantibodies as the First-Appearing Autoantibody in the TEDDY Study.","authors":"Maria Lönnrot, Kristian F Lynch, Marian Rewers, Åke Lernmark, Kendra Vehik, Beena Akolkar, William Hagopian, Jeffrey Krischer, Rickhard A McIndoe, Jorma Toppari, Anette-G Ziegler, Joseph F Petrosino, Richard Lloyd, Heikki Hyöty","doi":"10.2337/dc23-0518","DOIUrl":"10.2337/dc23-0518","url":null,"abstract":"<p><strong>Objective: </strong>To investigate gastrointestinal infection episodes (GIEs) in relation to the appearance of islet autoantibodies in The Environmental Determinants of Diabetes in the Young (TEDDY) cohort.</p><p><strong>Research design and methods: </strong>GIEs on risk of autoantibodies against either insulin (IAA) or GAD (GADA) as the first-appearing autoantibody were assessed in a 10-year follow-up of 7,867 children. Stool virome was characterized in a nested case-control study.</p><p><strong>Results: </strong>GIE reports (odds ratio [OR] 2.17 [95% CI 1.39-3.39]) as well as Norwalk viruses found in stool (OR 5.69 [1.36-23.7]) at <1 year of age were associated with an increased IAA risk at 2-4 years of age. GIEs reported at age 1 to <2 years correlated with a lower risk of IAA up to 10 years of age (OR 0.48 [0.35-0.68]). GIE reports at any other age were associated with an increase in IAA risk (OR 2.04 for IAA when GIE was observed 12-23 months prior [1.41-2.96]). Impacts on GADA risk were limited to GIEs <6 months prior to autoantibody development in children <4 years of age (OR 2.16 [1.54-3.02]).</p><p><strong>Conclusions: </strong>Bidirectional associations were observed. GIEs were associated with increased IAA risk when reported before 1 year of age or 12-23 months prior to IAA. Norwalk virus was identified as one possible candidate factor. GIEs reported during the 2nd year of life were associated with a decreased IAA risk.</p>","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":null,"pages":null},"PeriodicalIF":14.8,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620548/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10051692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}