Literature DB >> 8916506

Longitudinal patterns of glycemic control and diabetes care from diagnosis in a population-based cohort with type 1 diabetes. The Wisconsin Diabetes Registry.

M Palta1, G Shen, C Allen, R Klein, D D'Alessio.   

Abstract

Glycosylated hemoglobin is an indicator of long-term glycemic control and a strong predictor of diabetic complications. This paper provides a comprehensive description of glycemic control (total glycosylated hemoglobin (GHb)) up to 4.5 years duration of diabetes by age, duration, and sex in a population-based cohort (n = 507) aged less than 20 years followed from diagnosis of Type 1 diabetes in Wisconsin during 1987-1994 Important aspects of demographics and diabetes care are described to allow comparison with other populations. Since large variations between laboratories are known to exist in the measurement of GHb, levels are also interpreted relative to the frequency of short-term complications. GHb increased after diagnosis, but leveled off after 2-3 years. Peak GHb values occurred in the age group 12-15 years. The within-individual standard deviation in GHb between tests, adjusted for age and duration was 1.6%. The mean GHb at last testing was 11.3%, with a standard deviation across individuals of 2.9%. The majority (74%) of individuals saw a diabetes specialist at least once. The mean number of insulin injections per day increased from 2.2 to 2.5 across the 4.5-year duration, and the insulin dose increased from 0.6 to 0.9 units per day per kg body weight. Despite the quite satisfactory level of care, 38% of subjects had GHb levels associated with significant short-term complications.

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Year:  1996        PMID: 8916506     DOI: 10.1093/oxfordjournals.aje.a008865

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  16 in total

1.  General Life and Diabetes-Related Stressors in Early Adolescents With Type 1 Diabetes.

Authors:  Ariana M Chao; Karl E Minges; Chorong Park; Susan Dumser; Kathryn M Murphy; Margaret Grey; Robin Whittemore
Journal:  J Pediatr Health Care       Date:  2015-07-30       Impact factor: 1.812

2.  An automated communication system in a contact registry for persons with rare diseases: scalable tools for identifying and recruiting clinical research participants.

Authors:  R L Richesson; H S Lee; D Cuthbertson; J Lloyd; K Young; J P Krischer
Journal:  Contemp Clin Trials       Date:  2008-09-07       Impact factor: 2.226

3.  The association of increased total glycosylated hemoglobin levels with delayed age at menarche in young women with type 1 diabetes.

Authors:  Kirstie K Danielson; Mari Palta; Catherine Allen; Donn J D'Alessio
Journal:  J Clin Endocrinol Metab       Date:  2005-10-04       Impact factor: 5.958

4.  The trajectory of IGF-1 across age and duration of type 1 diabetes.

Authors:  Mari Palta; Tamara J LeCaire; Mona Sadek-Badawi; Victor M Herrera; Kirstie K Danielson
Journal:  Diabetes Metab Res Rev       Date:  2014-11       Impact factor: 4.876

5.  Nationwide cross-sectional survey of 3560 children and adolescents with diabetes in Italy.

Authors:  M Vanelli; F Cerutti; F Chiarelli; R Lorini; F Meschi
Journal:  J Endocrinol Invest       Date:  2005-09       Impact factor: 4.256

6.  Development and Implementation of the Readiness Assessment of Emerging Adults With Type 1 Diabetes Diagnosed in Youth (READDY) Tool.

Authors:  Sarah D Corathers; Joyce P Yi-Frazier; Jessica C Kichler; Lisa K Gilliam; Gail Watts; Andrea Houchen; Sarah Beal
Journal:  Diabetes Spectr       Date:  2020-02

7.  Different health behaviours and clinical factors associated with bone mineral density and bone turnover in premenopausal women with and without type 1 diabetes.

Authors:  Amber S Kujath; Lauretta Quinn; Mary E Elliott; Tamara J LeCaire; Neil Binkley; Andrea R Molino; Kirstie K Danielson
Journal:  Diabetes Metab Res Rev       Date:  2015-01-21       Impact factor: 4.876

8.  Long-term outcome of insulin pump therapy in children with type 1 diabetes assessed in a large population-based case-control study.

Authors:  Stephanie R Johnson; Matthew N Cooper; Timothy W Jones; Elizabeth A Davis
Journal:  Diabetologia       Date:  2013-08-21       Impact factor: 10.122

9.  Factors Associated with Higher Pro-Inflammatory Tumor Necrosis Factor-α Levels in Young Women with Type 1 Diabetes.

Authors:  K K Danielson; R S Monson; T J LeCaire
Journal:  Exp Clin Endocrinol Diabetes       Date:  2016-03-23       Impact factor: 2.949

10.  Pediatric diabetes consortium T1D New Onset (NeOn) study: clinical outcomes during the first year following diagnosis.

Authors:  Eda Cengiz; Crystal G Connor; Katrina J Ruedy; Roy W Beck; Craig Kollman; Georgeanna J Klingensmith; William V Tamborlane; Joyce M Lee; Michael J Haller
Journal:  Pediatr Diabetes       Date:  2013-08-15       Impact factor: 4.866

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