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Scudder C, Townson J, Bowen-Morris J, Gillespie K, Evans P, Jones S, Thomas NPB, Stanford J, Fox R, Todd JA, Greenfield S, Dayan CM, Besser REJ. General population screening for type 1 diabetes using islet autoantibodies at the preschool vaccination visit: a proof-of-concept study (the T1Early study). Arch Dis Child 2024:archdischild-2023-326697. [PMID: 38925883 DOI: 10.1136/archdischild-2023-326697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 06/08/2024] [Indexed: 06/28/2024]
Abstract
OBJECTIVE Type 1 diabetes (T1D) screening programmes testing islet autoantibodies (IAbs) in childhood can reduce life-threatening diabetic ketoacidosis. General population screening is required to detect the majority of children with T1D, since in >85% there is no family history. Age 3-5 years has been proposed as an optimal age for a single screen approach. DESIGN Capillary samples were collected from children attending their preschool vaccination and analysed for IAbs to insulin, glutamic acid decarboxylase, islet antigen-2 and zinc transporter 8 using radiobinding/luciferase immunoprecipitation system assays. Acceptability was assessed using semistructured interviews and open-ended postcard questionnaires with parents. SETTING Two primary care practices in Oxfordshire, UK. MAIN OUTCOME MEASURES The ability to collect capillary blood to test IAbs in children at the routine preschool vaccination (3.5-4 years). RESULTS Of 134 parents invited, 66 (49%) were recruited (median age 3.5 years (IQR 3.4-3.6), 26 (39.4%) male); 63 provided a sample (97% successfully), and one participant was identified with a single positive IAb. Parents (n=15 interviews, n=29 postcards) were uniformly positive about screening aligned to vaccination and stated they would have been less likely to take part had screening been a separate visit. Themes identified included preparedness for T1D and the long-term benefit outweighing short-term upset. The perceived volume of the capillary sample was a potential concern and needs optimising. CONCLUSIONS Capillary IAb testing is a possible method to screen children for T1D. Aligning collection to the preschool vaccination visit can be convenient for families without the need for an additional visit.
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Affiliation(s)
- Claire Scudder
- JDRF/Wellcome Diabetes and Inflammation Laboratory, Centre for Human Genetics, Nuffield Department of Medicine, Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Julia Townson
- Centre for Trials Research, School of Medicine, Cardiff University, Cardiff, UK
| | - Jane Bowen-Morris
- Cardiff University School of Medicine, Cardiff University, Cardiff, UK
| | - Kathleen Gillespie
- Diabetes and Metabolism, Bristol Medical School, University of Bristol, Bristol, UK
| | - Philip Evans
- Exeter Collaboration for Academic Primary Care (APEx), University of Exeter, Exeter, UK
| | | | | | | | - Robin Fox
- Bicester Health Centre, Bicester, UK
| | - John A Todd
- JDRF/Wellcome Diabetes and Inflammation Laboratory, Centre for Human Genetics, Nuffield Department of Medicine, Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Sheila Greenfield
- Institute of Applied Health Research, College of Medical and Dental Sciences, Murray Learning Centre, University of Birmingham, Birmingham, UK
| | - Colin M Dayan
- JDRF/Wellcome Diabetes and Inflammation Laboratory, Centre for Human Genetics, Nuffield Department of Medicine, Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
- Centre for Trials Research, School of Medicine, Cardiff University, Cardiff, UK
| | - Rachel E J Besser
- JDRF/Wellcome Diabetes and Inflammation Laboratory, Centre for Human Genetics, Nuffield Department of Medicine, Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
- Department of Paediatrics, University of Oxford, Oxford, UK
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2
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Phillip M, Achenbach P, Addala A, Albanese-O'Neill A, Battelino T, Bell KJ, Besser REJ, Bonifacio E, Colhoun HM, Couper JJ, Craig ME, Danne T, de Beaufort C, Dovc K, Driscoll KA, Dutta S, Ebekozien O, Larsson HE, Feiten DJ, Frohnert BI, Gabbay RA, Gallagher MP, Greenbaum CJ, Griffin KJ, Hagopian W, Haller MJ, Hendrieckx C, Hendriks E, Holt RIG, Hughes L, Ismail HM, Jacobsen LM, Johnson SB, Kolb LE, Kordonouri O, Lange K, Lash RW, Lernmark Å, Libman I, Lundgren M, Maahs DM, Marcovecchio ML, Mathieu C, Miller KM, O'Donnell HK, Oron T, Patil SP, Pop-Busui R, Rewers MJ, Rich SS, Schatz DA, Schulman-Rosenbaum R, Simmons KM, Sims EK, Skyler JS, Smith LB, Speake C, Steck AK, Thomas NPB, Tonyushkina KN, Veijola R, Wentworth JM, Wherrett DK, Wood JR, Ziegler AG, DiMeglio LA. Consensus guidance for monitoring individuals with islet autoantibody-positive pre-stage 3 type 1 diabetes. Diabetologia 2024:10.1007/s00125-024-06205-5. [PMID: 38910151 DOI: 10.1007/s00125-024-06205-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/25/2024]
Abstract
Given the proven benefits of screening to reduce diabetic ketoacidosis (DKA) likelihood at the time of stage 3 type 1 diabetes diagnosis, and emerging availability of therapy to delay disease progression, type 1 diabetes screening programmes are being increasingly emphasised. Once broadly implemented, screening initiatives will identify significant numbers of islet autoantibody-positive (IAb+) children and adults who are at risk of (confirmed single IAb+) or living with (multiple IAb+) early-stage (stage 1 and stage 2) type 1 diabetes. These individuals will need monitoring for disease progression; much of this care will happen in non-specialised settings. To inform this monitoring, JDRF in conjunction with international experts and societies developed consensus guidance. Broad advice from this guidance includes the following: (1) partnerships should be fostered between endocrinologists and primary-care providers to care for people who are IAb+; (2) when people who are IAb+ are initially identified there is a need for confirmation using a second sample; (3) single IAb+ individuals are at lower risk of progression than multiple IAb+ individuals; (4) individuals with early-stage type 1 diabetes should have periodic medical monitoring, including regular assessments of glucose levels, regular education about symptoms of diabetes and DKA, and psychosocial support; (5) interested people with stage 2 type 1 diabetes should be offered trial participation or approved therapies; and (6) all health professionals involved in monitoring and care of individuals with type 1 diabetes have a responsibility to provide education. The guidance also emphasises significant unmet needs for further research on early-stage type 1 diabetes to increase the rigour of future recommendations and inform clinical care.
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Affiliation(s)
- Moshe Phillip
- Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Technical University Munich, Klinikum Rechts Der Isar, Munich, Germany
| | - Ananta Addala
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Tadej Battelino
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
- Department of Endocrinology, Diabetes and Metabolism, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Kirstine J Bell
- Charles Perkins Centre and Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Rachel E J Besser
- JDRF/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre Human Genetics, Nuffield Department of Medicine Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
- Department of Paediatrics, University of Oxford, Oxford, UK
| | - Ezio Bonifacio
- Center for Regenerative Therapies Dresden, Faculty of Medicine, Technical University of Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden, Helmholtz Centre Munich at the University Clinic Carl Gustav Carus of TU Dresden and Faculty of Medicine, Dresden, Germany
| | - Helen M Colhoun
- The Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Department of Public Health, NHS Fife, Kirkcaldy, UK
| | - Jennifer J Couper
- Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
- Division of Paediatrics, Women's and Children's Hospital, Adelaide, SA, Australia
| | - Maria E Craig
- Charles Perkins Centre and Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- Discipline of Paediatrics & Child Health, School of Clinical Medicine, UNSW Medicine & Health, Sydney, NSW, Australia
| | | | - Carine de Beaufort
- International Society for Pediatric and Adolescent Diabetes (ISPAD), Berlin, Germany
- Diabetes & Endocrine Care Clinique Pédiatrique (DECCP), Clinique Pédiatrique/Centre Hospitalier (CH) de Luxembourg, Luxembourg City, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-Belval, Luxembourg
| | - Klemen Dovc
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
- Department of Endocrinology, Diabetes and Metabolism, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Kimberly A Driscoll
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
- Department of Pediatrics, University of Florida Diabetes Institute, Gainesville, FL, USA
| | | | | | - Helena Elding Larsson
- Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Department of Pediatrics, Skåne University Hospital, Malmö and Lund, Sweden
| | | | - Brigitte I Frohnert
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | | | - Carla J Greenbaum
- Center for Interventional Immunology and Diabetes Program, Benaroya Research Institute, Seattle, WA, USA
| | - Kurt J Griffin
- Sanford Research, Sioux Falls, SD, USA
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
| | - William Hagopian
- Pacific Northwest Diabetes Research Institute, University of Washington, Seattle, WA, USA
| | - Michael J Haller
- Department of Pediatrics, University of Florida Diabetes Institute, Gainesville, FL, USA
- Division of Endocrinology, University of Florida College of Medicine, Gainesville, FL, USA
| | - Christel Hendrieckx
- School of Psychology, Deakin University, Geelong, VIC, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Carlton, VIC, Australia
- Institute for Health Transformation, Deakin University, Geelong, VIC, Australia
| | - Emile Hendriks
- Department of Paediatrics, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK
| | - Richard I G Holt
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
- National Institute for Health and Care Research Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | | | - Heba M Ismail
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Laura M Jacobsen
- Division of Endocrinology, University of Florida College of Medicine, Gainesville, FL, USA
| | - Suzanne B Johnson
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, FL, USA
| | - Leslie E Kolb
- Association of Diabetes Care & Education Specialists, Chicago, IL, USA
| | | | - Karin Lange
- Medical Psychology, Hannover Medical School, Hannover, Germany
| | | | - Åke Lernmark
- Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Ingrid Libman
- Division of Pediatric Endocrinology and Diabetes, University of Pittsburgh, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, USA
| | - Markus Lundgren
- Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Department of Pediatrics, Kristianstad Hospital, Kristianstad, Sweden
| | - David M Maahs
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - M Loredana Marcovecchio
- Department of Pediatrics, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Chantal Mathieu
- Department of Endocrinology, UZ Gasthuisberg, KU Leuven, Leuven, Belgium
| | | | - Holly K O'Donnell
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Tal Oron
- Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Shivajirao P Patil
- Department of Family Medicine, Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - Rodica Pop-Busui
- Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | - Marian J Rewers
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Desmond A Schatz
- Department of Pediatrics, University of Florida, Gainesville, FL, USA
| | - Rifka Schulman-Rosenbaum
- Division of Endocrinology, Long Island Jewish Medical Center, Northwell Health, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, NY, USA
| | - Kimber M Simmons
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Emily K Sims
- Division of Pediatric Endocrinology and Diabetology, Herman B Wells Center for Pediatric Research, Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jay S Skyler
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Laura B Smith
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Cate Speake
- Center for Interventional Immunology and Diabetes Program, Benaroya Research Institute, Seattle, WA, USA
| | - Andrea K Steck
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Ksenia N Tonyushkina
- Division of Endocrinology and Diabetes, Baystate Children's Hospital and University of Massachusetts Chan Medical School - Baystate, Springfield, MA, USA
| | - Riitta Veijola
- Research Unit of Clinical Medicine, Department of Pediatrics, Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - John M Wentworth
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Diane K Wherrett
- Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Jamie R Wood
- Department of Pediatric Endocrinology, Rainbow Babies and Children's Hospital, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Anette-Gabriele Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Technical University Munich, Klinikum Rechts Der Isar, Munich, Germany
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3
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Daniel R, Jones H, Gregory JW, Shetty A, Francis N, Paranjothy S, Townson J. Predicting type 1 diabetes in children using electronic health records in primary care in the UK: development and validation of a machine-learning algorithm. Lancet Digit Health 2024; 6:e386-e395. [PMID: 38789139 DOI: 10.1016/s2589-7500(24)00050-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 02/21/2024] [Accepted: 03/05/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND Children presenting to primary care with suspected type 1 diabetes should be referred immediately to secondary care to avoid life-threatening diabetic ketoacidosis. However, early recognition of children with type 1 diabetes is challenging. Children might not present with classic symptoms, or symptoms might be attributed to more common conditions. A quarter of children present with diabetic ketoacidosis, a proportion unchanged over 25 years. Our aim was to investigate whether a machine-learning algorithm could lead to earlier detection of type 1 diabetes in primary care. METHODS We developed the predictive algorithm using Welsh primary care electronic health records (EHRs) linked to the Brecon Dataset, a register of children newly diagnosed with type 1 diabetes. Children were included from their first primary care record within the study period of Jan 1, 2000, to Dec 31, 2016, until either type 1 diabetes diagnosis, they turned 15 years of age, or study end. We developed an ensemble learner (SuperLearner) using 26 potential predictors. Validation of the algorithm was done in English EHRs from the Clinical Practice Research Datalink (primary care) and Hospital Episode Statistics, focusing on the ability of the algorithm to identify children who went on to develop type 1 diabetes and the time by which diagnosis could be anticipated. FINDINGS The development dataset comprised 34 754 400 primary care contacts, relating to 952 402 children, and the validation dataset comprised 43 089 103 primary care contacts, relating to 1 493 328 children. Of these, 1829 (0·19%) children younger than 15 years in the development dataset, and 1516 (0·10%) in the validation dataset had a reliable date of type 1 diabetes diagnosis. If set to give an alert in 10% of contacts, an estimated 71·6% (95% CI 68·8-74·4) of the children with type 1 diabetes would receive an alert by the algorithm in the 90 days before diagnosis, with diagnosis anticipated, on average, by an estimated 9·34 days (95% CI 7·77-10·9). INTERPRETATION If implemented into primary care settings, this predictive algorithm could substantially reduce the proportion of patients with new-onset type 1 diabetes presenting in diabetic ketoacidosis. Acceptability of alert thresholds should be explored in primary care. FUNDING Diabetes UK.
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Affiliation(s)
- Rhian Daniel
- Division of Population Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - Hywel Jones
- Division of Population Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - John W Gregory
- Division of Population Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - Ambika Shetty
- The Noah's Ark Children's Hospital for Wales, Department of Paediatric Diabetes and Endocrinology, Cardiff and Vale University Health Board, Cardiff, UK
| | - Nick Francis
- Primary Care Research Centre, University of Southampton, Southampton, UK
| | | | - Julia Townson
- Centre for Trials Research, Cardiff University, Cardiff, UK.
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4
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Lind A, Freyhult E, de Jesus Cortez F, Ramelius A, Bennet R, Robinson PV, Seftel D, Gebhart D, Tandel D, Maziarz M, Larsson HE, Lundgren M, Carlsson A, Nilsson AL, Fex M, Törn C, Agardh D, Tsai CT, Lernmark Å. Childhood screening for type 1 diabetes comparing automated multiplex Antibody Detection by Agglutination-PCR (ADAP) with single plex islet autoantibody radiobinding assays. EBioMedicine 2024; 104:105144. [PMID: 38723553 PMCID: PMC11090024 DOI: 10.1016/j.ebiom.2024.105144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 04/16/2024] [Accepted: 04/18/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Two or more autoantibodies against either insulin (IAA), glutamic acid decarboxylase (GADA), islet antigen-2 (IA-2A) or zinc transporter 8 (ZnT8A) denote stage 1 (normoglycemia) or stage 2 (dysglycemia) type 1 diabetes prior to stage 3 type 1 diabetes. Automated multiplex Antibody Detection by Agglutination-PCR (ADAP) assays in two laboratories were compared to single plex radiobinding assays (RBA) to define threshold levels for diagnostic specificity and sensitivity. METHODS IAA, GADA, IA-2A and ZnT8A were analysed in 1504 (54% females) population based controls (PBC), 456 (55% females) doctor's office controls (DOC) and 535 (41% females) blood donor controls (BDC) as well as in 2300 (48% females) patients newly diagnosed (1-10 years of age) with stage 3 type 1 diabetes. The thresholds for autoantibody positivity were computed in 100 10-fold cross-validations to separate patients from controls either by maximizing the χ2-statistics (chisq) or using the 98th percentile of specificity (Spec98). Mean and 95% CI for threshold, sensitivity and specificity are presented. FINDINGS The ADAP ROC curves of the four autoantibodies showed comparable AUC in the two ADAP laboratories and were higher than RBA. Detection of two or more autoantibodies using chisq showed 0.97 (0.95, 0.99) sensitivity and 0.94 (0.91, 0.97) specificity in ADAP compared to 0.90 (0.88, 0.95) sensitivity and 0.97 (0.94, 0.98) specificity in RBA. Using Spec98, ADAP showed 0.92 (0.89, 0.95) sensitivity and 0.99 (0.98, 1.00) specificity compared to 0.89 (0.77, 0.86) sensitivity and 1.00 (0.99, 1.00) specificity in the RBA. The diagnostic sensitivity and specificity were higher in PBC compared to DOC and BDC. INTERPRETATION ADAP was comparable in two laboratories, both comparable to or better than RBA, to define threshold levels for two or more autoantibodies to stage type 1 diabetes. FUNDING Supported by The Leona M. and Harry B. Helmsley Charitable Trust (grant number 2009-04078), the Swedish Foundation for Strategic Research (Dnr IRC15-0067) and the Swedish Research Council, Strategic Research Area (Dnr 2009-1039). AL was supported by the DiaUnion collaborative study, co-financed by EU Interreg ÖKS, Capital Region of Denmark, Region Skåne and the Novo Nordisk Foundation.
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Affiliation(s)
- Alexander Lind
- Department of Clinical Sciences, Lund University CRC, Malmö, Sweden
| | - Eva Freyhult
- Department of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | | | - Anita Ramelius
- Department of Clinical Sciences, Lund University CRC, Malmö, Sweden
| | - Rasmus Bennet
- Department of Clinical Sciences, Lund University CRC, Malmö, Sweden
| | | | - David Seftel
- Enable Biosciences Inc., South San Francisco, CA, USA
| | - David Gebhart
- Enable Biosciences Inc., South San Francisco, CA, USA
| | | | - Marlena Maziarz
- Department of Clinical Sciences, Lund University CRC, Malmö, Sweden
| | | | - Markus Lundgren
- Department of Clinical Sciences, Lund University CRC, Malmö, Sweden
| | | | | | - Malin Fex
- Department of Clinical Sciences, Lund University CRC, Malmö, Sweden
| | - Carina Törn
- Department of Clinical Sciences, Lund University CRC, Malmö, Sweden
| | - Daniel Agardh
- Department of Clinical Sciences, Lund University CRC, Malmö, Sweden
| | | | - Åke Lernmark
- Department of Clinical Sciences, Lund University CRC, Malmö, Sweden.
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Zaharieva DP, Ding VY, Addala A, Prahalad P, Bishop F, Hood KK, Desai M, Wilson DM, Buckingham BA, Maahs DM. Diabetic Ketoacidosis at Diagnosis in Youth with Type 1 Diabetes Is Associated with a Higher Hemoglobin A1c Even with Intensive Insulin Management. Diabetes Technol Ther 2024; 26:176-183. [PMID: 37955644 PMCID: PMC10877392 DOI: 10.1089/dia.2023.0405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2023]
Abstract
Introduction: Diabetic ketoacidosis (DKA) at diagnosis is associated with short- and long-term complications. We assessed the relationship between DKA status and hemoglobin A1c (A1c) levels in the first year following type 1 diabetes (T1D) diagnosis. Research Design and Methods: The Pilot Teamwork, Targets, Technology, and Tight Control (4T) study offered continuous glucose monitoring to youth with T1D within 1 month of diagnosis. A1c levels were compared between historical (n = 271) and Pilot 4T (n = 135) cohorts stratified by DKA status at diagnosis (DKA: historical = 94, 4T = 67 versus without DKA: historical = 177, 4T = 68). A1c was evaluated using locally estimated scatter plot smoothing. Change in A1c from 4 to 12 months postdiagnosis was evaluated using a linear mixed model. Results: Median age was 9.7 (interquartile range [IQR]: 6.6, 12.7) versus 9.7 (IQR: 6.8, 12.7) years, 49% versus 47% female, 44% versus 39% non-Hispanic White in historical versus Pilot 4T. In historical and 4T cohorts, DKA at diagnosis demonstrated higher A1c at 6 (0.5% [95% confidence interval (CI): 0.21-0.79; P < 0.01] and 0.38% [95% CI: 0.02-0.74; P = 0.04], respectively), and 12 months (0.62% [95% CI: -0.06 to 1.29; P = 0.07] and 0.39% [95% CI: -0.32 to 1.10; P = 0.29], respectively). The highest % time in range (TIR; 70-180 mg/dL) was seen between weeks 15-20 (69%) versus 25-30 (75%) postdiagnosis for youth with versus without DKA in Pilot 4T, respectively. Conclusions: Pilot 4T improved A1c outcomes versus the historical cohort, but those with DKA at diagnosis had persistently elevated A1c throughout the study and intensive diabetes management did not mitigate this difference. DKA prevention at diagnosis may translate into better glycemic outcomes in the first-year postdiagnosis. Clinical Trial Registration: clinicaltrials.gov: NCT04336969.
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Affiliation(s)
- Dessi P. Zaharieva
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, California, USA
| | - Victoria Y. Ding
- Division of Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, California, USA
| | - Ananta Addala
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, California, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, California, USA
| | - Priya Prahalad
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, California, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, California, USA
| | - Franziska Bishop
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, California, USA
| | - Korey K. Hood
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, California, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, California, USA
| | - Manisha Desai
- Division of Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, California, USA
| | - Darrell M. Wilson
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, California, USA
| | - Bruce A. Buckingham
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, California, USA
| | - David M. Maahs
- Division of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, California, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, California, USA
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6
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Ospelt E, Hardison H, Rioles N, Noor N, Weinstock RS, Cossen K, Mathias P, Smego A, Mathioudakis N, Ebekozien O. Understanding Providers' Readiness and Attitudes Toward Autoantibody Screening: A Mixed-Methods Study. Clin Diabetes 2023; 42:17-26. [PMID: 38230325 PMCID: PMC10788649 DOI: 10.2337/cd23-0057] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Screening for autoantibodies associated with type 1 diabetes can identify people most at risk for progressing to clinical type 1 diabetes and provide an opportunity for early intervention. Drawbacks and barriers to screening exist, and concerns arise, as methods for disease prevention are limited and no cure exists today. The availability of novel treatment options such as teplizumab to delay progression to clinical type 1 diabetes in high-risk individuals has led to the reassessment of screening programs. This study explored awareness, readiness, and attitudes of endocrinology providers toward type 1 diabetes autoantibody screening.
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Affiliation(s)
| | | | | | | | | | | | - Priyanka Mathias
- Albert Einstein College of Medicine–Montefiore Medical Center, Bronx, NY
| | - Allison Smego
- University of Utah, Intermountain Health, Salt Lake City, UT
| | | | - Osagie Ebekozien
- T1D Exchange, Boston, MA
- University of Mississippi Medical Center School of Population Health, Jackson, MS
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Quinn LM, Narendran P, Randell MJ, Bhavra K, Boardman F, Greenfield SM, Litchfield I. General population screening for paediatric type 1 diabetes-A qualitative study of UK professional stakeholders. Diabet Med 2023; 40:e15131. [PMID: 37151184 DOI: 10.1111/dme.15131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 05/01/2023] [Accepted: 05/05/2023] [Indexed: 05/09/2023]
Abstract
AIMS Identifying children at risk of type 1 diabetes allows education for symptom recognition and monitoring to reduce the risk of diabetic ketoacidosis at presentation. We aimed to explore stakeholder views towards paediatric general population screening for type 1 diabetes in the United Kingdom (UK). METHODS Qualitative interviews were undertaken with 25 stakeholders, including diabetes specialists, policymakers and community stakeholders who could be involved in a future type 1 diabetes screening programme in the UK. A thematic framework analysis was performed using the National Screening Committee's evaluative criteria as the overarching framework. RESULTS Diabetic ketoacidosis prevention was felt to be a priority and proposed benefits of screening included education, monitoring and helping the family to better prepare for a future with type 1 diabetes. However, diabetes specialists were cautious about general population screening because of lack of evidence for public acceptability. Concerns were raised about the harms of living with risk, provoking health anxiety and threatening the child's right to an 'open future'. Support systems that met the clinical and psychological needs of the family living with risk were considered essential. Stakeholders were supportive of research into general population screening and acknowledged this would be a priority if an immunoprevention agent were licensed in the UK. CONCLUSIONS Although stakeholders suggested the harms of UK paediatric general population screening currently outweigh the benefits, this view would potentially be altered if prevention therapies were licensed. In this case, an evidence-based screening strategy would need to be formulated and public acceptability explored.
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Affiliation(s)
- Lauren M Quinn
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Parth Narendran
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
- Department of Diabetes, University Hospitals of Birmingham, Birmingham, UK
| | | | | | | | - Sheila M Greenfield
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Ian Litchfield
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
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Cherubini V, Chiarelli F. Autoantibody test for type 1 diabetes in children: are there reasons to implement a screening program in the general population? A statement endorsed by the Italian Society for Paediatric Endocrinology and Diabetes (SIEDP-ISPED) and the Italian Society of Paediatrics (SIP). Ital J Pediatr 2023; 49:87. [PMID: 37468976 DOI: 10.1186/s13052-023-01438-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 03/06/2023] [Indexed: 07/21/2023] Open
Abstract
In recent years screening of type 1 diabetes (T1D) in both at risk children and general population has been widely discussed with the aim of increasing awareness of the importance to early detect (and possibly treat) at-risk children in early stages of the chronic autoimmune progression to T1D.In fact, it is well known that first-degree relatives have the highest risk of T1D, but up to 90% of children who develop T1D do not have a family history and belong to the general population.The reasons for screening children well before the clinical onset of T1D include prevention of DKA (still up to 60% children are diagnosed with DKA) and related morbidities and mortality, reducing the need for hospitalisation, time to provide emotional support and education to ensure a smooth transition to insulin treatment, and opportunities for new treatments to prevent or delay progression.There are pros and cons of screening of T1D in children, but recent evidences suggest that it is now time to consider possible a screening for T1D in children.Recently, the European Society for Paediatric Endocrinology (ESPE) has endorsed a Position Statement, discussing the pros and cons of screening for T1D in the general population; ESPE supports national Societies for Paediatric Endocrinology to spread information on this important issue in various countries throughout Europe; the Italian Society for Paediatric Endocrinology and Diabetes (SIEDP-ISPED) and the Italian Society of Paediatrics (SIP) endorse this document with the specific aim of increasing awareness on screening for paediatric T1D in the general population.
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Affiliation(s)
| | - Francesco Chiarelli
- Department of Paediatrics, University of Chieti, Via dei Vestini, 5, I-66100, Chieti, Italy.
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Tatovic D, Narendran P, Dayan CM. A perspective on treating type 1 diabetes mellitus before insulin is needed. Nat Rev Endocrinol 2023; 19:361-370. [PMID: 36914759 DOI: 10.1038/s41574-023-00816-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/17/2023] [Indexed: 03/16/2023]
Abstract
Type 1 diabetes mellitus (T1DM) is a progressive autoimmune disease that starts long before a clinical diagnosis is made. The American Diabetes Association recognizes three stages: stage 1 (normoglycaemic and positive for autoantibodies to β-cell antigens); stage 2 (asymptomatic with dysglycaemia); and stage 3, which is defined by glucose levels consistent with the definition of diabetes mellitus. This Perspective focuses on the management of the proportion of individuals with early stage 3 T1DM who do not immediately require insulin; a stage we propose should be termed stage 3a. To date, this period of non-insulin-dependent T1DM has been largely unrecognized. Importantly, it represents a window of opportunity for intervention, as remaining at this stage might delay the need for insulin by months or years. Extending the insulin-free period and/or avoiding unnecessary insulin therapy are important goals, as there is no risk of hypoglycaemia during this period and the adherence burden on patients of glycaemic monitoring and daily adjustments for diet and exercise is substantially reduced. Recognizing the pressing need for guidance on adequate management of children and adults with stage 3a T1DM, we present our perspective on the subject, which needs to be tested in formal and adequately powered clinical trials.
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Affiliation(s)
- Danijela Tatovic
- Diabetes Research Group, Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK
| | - Parth Narendran
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Colin M Dayan
- Diabetes Research Group, Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.
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Alfayez OM, Aldmasi KS, Alruwais NH, Bin Awad NM, Al Yami MS, Almohammed OA, Almutairi AR. Incidence of Diabetic Ketoacidosis Among Pediatrics With Type 1 Diabetes Prior to and During COVID-19 Pandemic: A Meta-Analysis of Observational Studies. Front Endocrinol (Lausanne) 2022; 13:856958. [PMID: 35355556 PMCID: PMC8959619 DOI: 10.3389/fendo.2022.856958] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 02/08/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Previous reports suggest that the Coronavirus Disease-2019 (COVID-19) pandemic might have affected incidences of diabetic ketoacidosis (DKA) and new diagnoses of type 1 diabetes. This systematic review and meta-analysis aimed to estimate the risk of DKA, including severe DKA, during the COVID-19 pandemic versus the prior-to-COVID-19 period among pediatric patients with type 1 diabetes. METHODS PubMed and EMBASE were searched for observational studies investigating the risk of DKA among pediatric patients with type 1 diabetes during the COVID-19 pandemic and the prior-to-COVID-19 period. A random meta-analysis model was performed to estimate the relative risk of DKA during the COVID-19 pandemic compared to before the pandemic. Subgroup analyses were conducted based on the type 1 diabetes status, established or newly diagnosed. In addition, sensitivity analysis was conducted for studies that reported results from adjusted analysis for potential confounders using fixed effect model. RESULTS A total of 20 observational studies reported the risk of DKA, of which 18 reported the risk of severe DKA. The risks of DKA and severe DKA were 35% (RR 1.35, 95%CI 1.2-1.53, I2 = 71%) and 76% (RR 1.76, 95%CI 1.33-2.33, I2 = 44%) higher in the during-COVID-19 group compared to the prior-to-COVID-19 group, respectively. Among patients with newly diagnosed type 1 diabetes, the risk of DKA was 44% higher for the during-COVID-19 group compared to the prior-to-COVID-19 group (RR 1.44, 95%CI 1.26-1.65; I2 = 64%). Only two studies reported the risk of DKA among patients with established type 1 diabetes and the cumulative risk was not statistically significant. In the sensitivity analysis, four studies reported an adjusted odds ratio (aOR) of the risk of DKA during COVID-19 compared to the prior-to-COVID-19 period. The fixed estimate from the meta-analysis found an increase in the risk of DKA in the during-COVID-19 group compared to the prior-to-COVID-19 group (aOR 2.04, 95%CI 1.66-2.50). CONCLUSIONS This study showed that DKA risk, especially the risk of severe DKA, has increased significantly during the pandemic. Healthcare systems must be aware and prepared for such an increase in DKA cases and take all necessary measures to prevent future spikes during the pandemic. SYSTEMATIC REVIEW REGISTRATION https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=272775, identifier PROSPERO [CRD42021272775].
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Affiliation(s)
- Osamah M. Alfayez
- Department of Pharmacy Practice, College of Pharmacy, Qassim University, Qassim, Saudi Arabia
- *Correspondence: Osamah M. Alfayez,
| | | | - Nada H. Alruwais
- College of Pharmacy, University of Shaqra, Al Dawadmi, Saudi Arabia
| | - Nouf M. Bin Awad
- Department of Pharmacy Practice and Science, College of Pharmacy, University of Arizona, Tucson, AZ, United States
| | - Majed S. Al Yami
- Department of Pharmacy Practice, College of Pharmacy, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Omar A. Almohammed
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
- Pharmacoeconomics Research Unit, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
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