Literature DB >> 35183647

Joint 30-year HbA1c and lipid trajectories and mortality in type 1 diabetes.

Rachel G Miller1, Trevor J Orchard2, Tina Costacou2.   

Abstract

AIMS: Higher HbA1c has been associated with dyslipidemia in type 1 diabetes, but it is unknown whether there is heterogeneity in this association. Thus we assessed the longitudinal association between HbA1c and lipids over 30 years in a type 1 diabetes cohort and examined whether variation in such longitudinal patterns was associated with total and cause-specific mortality.
METHODS: Data were from the Pittsburgh Epidemiology of Diabetes Complications study (n = 581 with ≥2 visits, 51% male, baseline mean age 27, diabetes duration 19 years). Longitudinal associations between HbA1c and lipids were assessed in mixed models. Group-based multi-trajectory models identified simultaneous trajectories of HbA1c and lipids.
RESULTS: Longitudinal HbA1c was associated with Non-HDLc (p < 0.0001) and triglycerides (p < 0.0001), but not HDLc (men: p = 0.72, women: p = 0.76). There was heterogeneity in the HbA1c-Non-HDLc association only, with five HbA1c-Non-HDLc groups identified. One group (20%) had an unexpected combination of high HbA1c but normal Non-HDLc and had only moderately increased cardiovascular mortality (rate ratio [RR] = 2.80, 95% CI 1.31-6.00) and kidney disease mortality (RR = 2.30, 95% CI 0.97-5.50) compared to Low HbA1c-Normal Non-HDLc.
CONCLUSIONS: These results suggest there is a subgroup with type 1 diabetes who, despite poor glycemic control, has a relatively good prognosis, perhaps related to good Non-HDLc.
Copyright © 2022 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cholesterol; Glycemic control; HbA1c; Heterogeneity; Lipids; Mortality; Type 1 diabetes

Mesh:

Substances:

Year:  2022        PMID: 35183647      PMCID: PMC9018613          DOI: 10.1016/j.diabres.2022.109787

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   8.180


  38 in total

1.  Coprogression of Cardiovascular Risk Factors in Type 1 Diabetes During 30 Years of Follow-up in the DCCT/EDIC Study.

Authors: 
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Authors:  Daniel S Nagin; Bobby L Jones; Valéria Lima Passos; Richard E Tremblay
Journal:  Stat Methods Med Res       Date:  2016-10-17       Impact factor: 3.021

Review 4.  Glycaemic variability in diabetes: clinical and therapeutic implications.

Authors:  Antonio Ceriello; Louis Monnier; David Owens
Journal:  Lancet Diabetes Endocrinol       Date:  2018-08-13       Impact factor: 32.069

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Journal:  Clin Chem       Date:  1974-04       Impact factor: 8.327

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Journal:  Clin Chem       Date:  1973-05       Impact factor: 8.327

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Authors:  D M Maahs; K Nadeau; J K Snell-Bergeon; I Schauer; B Bergman; N A West; M Rewers; S R Daniels; L G Ogden; R F Hamman; D Dabelea
Journal:  Diabet Med       Date:  2011-02       Impact factor: 4.359

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Authors:  J M Sosenko; J Breslow; O S Miettinen; K H Gabbay
Journal:  Diabetes Care       Date:  1982 Jan-Feb       Impact factor: 19.112

9.  Changes in glycaemic control and risk of coronary artery disease in type 1 diabetes mellitus: findings from the Pittsburgh Epidemiology of Diabetes Complications Study (EDC).

Authors:  C T Prince; D J Becker; T Costacou; R G Miller; T J Orchard
Journal:  Diabetologia       Date:  2007-09-02       Impact factor: 10.122

10.  Improvements in the life expectancy of type 1 diabetes: the Pittsburgh Epidemiology of Diabetes Complications study cohort.

Authors:  Rachel G Miller; Aaron M Secrest; Ravi K Sharma; Thomas J Songer; Trevor J Orchard
Journal:  Diabetes       Date:  2012-07-30       Impact factor: 9.461

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