Associations of 1,5-Anhydroglucitol and 2-Hour Glucose with Major Clinical Outcomes in the Atherosclerosis Risk in Communities (ARIC) Study.


Journal

The journal of applied laboratory medicine
ISSN: 2576-9456
Titre abrégé: J Appl Lab Med
Pays: England
ID NLM: 101693884

Informations de publication

Date de publication:
01 11 2020
Historique:
received: 30 12 2019
accepted: 30 03 2020
pubmed: 13 6 2020
medline: 16 10 2021
entrez: 13 6 2020
Statut: ppublish

Résumé

1,5-Anhydroglucitol (1,5-AG) is a novel biomarker of glycemic control proposed to monitor recent hyperglycemic excursions in persons with diabetes. The clinical utility of 1,5-AG outside of diagnosed diabetes is unclear, but it may identify people at high risk for diabetes and its complications. We compared associations of 1,5-AG with 2-h glucose for risk of major clinical complications. We prospectively followed 6644 Atherosclerosis Risk in Communities (ARIC) Study participants without diagnosed diabetes for incident diagnosed diabetes, chronic kidney disease, cardiovascular disease, and all-cause mortality for ∼20 years. We assessed associations of 1,5-AG and 2-h glucose (modeled categorically and continuously with restricted cubic splines) with adverse outcomes using Cox models and evaluated improvement in risk discrimination using Harrell's c-statistic. 1,5-AG <10 µg/mL was statistically significantly associated with incident diabetes (HR: 2.70, 95% CI 2.31, 3.15), and showed suggestion of association with the other outcomes compared to 1,5-AG ≥10 µg/mL. Continuous associations of 1,5-AG with outcomes displayed a clear threshold effect, with risk associations generally observed only <10 µg/mL. Comparing associations of 1,5-AG and 2-h glucose with outcomes resulted in larger c-statistics for 2-h glucose than 1,5-AG for all outcomes (difference in c-statistic [2-h glucose -1,5-AG] for diagnosed diabetes: 0.17 [95%CI, 0.15, 0.19]; chronic kidney disease 0.02 [95%CI 0.00, 0.05]; cardiovascular disease 0.03 [95%CI, 0.00, 0.06]; and all-cause mortality 0.04 [95%CI, 0.02, 0.06]). In this community-based population without diagnosed diabetes, low 1,5-AG was modestly associated with major clinical outcomes and did not outperform 2-h glucose.

Sections du résumé

BACKGROUND
1,5-Anhydroglucitol (1,5-AG) is a novel biomarker of glycemic control proposed to monitor recent hyperglycemic excursions in persons with diabetes. The clinical utility of 1,5-AG outside of diagnosed diabetes is unclear, but it may identify people at high risk for diabetes and its complications. We compared associations of 1,5-AG with 2-h glucose for risk of major clinical complications.
RESEARCH DESIGN AND METHODS
We prospectively followed 6644 Atherosclerosis Risk in Communities (ARIC) Study participants without diagnosed diabetes for incident diagnosed diabetes, chronic kidney disease, cardiovascular disease, and all-cause mortality for ∼20 years. We assessed associations of 1,5-AG and 2-h glucose (modeled categorically and continuously with restricted cubic splines) with adverse outcomes using Cox models and evaluated improvement in risk discrimination using Harrell's c-statistic.
RESULTS
1,5-AG <10 µg/mL was statistically significantly associated with incident diabetes (HR: 2.70, 95% CI 2.31, 3.15), and showed suggestion of association with the other outcomes compared to 1,5-AG ≥10 µg/mL. Continuous associations of 1,5-AG with outcomes displayed a clear threshold effect, with risk associations generally observed only <10 µg/mL. Comparing associations of 1,5-AG and 2-h glucose with outcomes resulted in larger c-statistics for 2-h glucose than 1,5-AG for all outcomes (difference in c-statistic [2-h glucose -1,5-AG] for diagnosed diabetes: 0.17 [95%CI, 0.15, 0.19]; chronic kidney disease 0.02 [95%CI 0.00, 0.05]; cardiovascular disease 0.03 [95%CI, 0.00, 0.06]; and all-cause mortality 0.04 [95%CI, 0.02, 0.06]).
CONCLUSIONS
In this community-based population without diagnosed diabetes, low 1,5-AG was modestly associated with major clinical outcomes and did not outperform 2-h glucose.

Identifiants

pubmed: 32529222
pii: 5856279
doi: 10.1093/jalm/jfaa066
pmc: PMC7648735
doi:

Substances chimiques

1,5-anhydroglucitol 54BB3B7XMZ
Deoxyglucose 9G2MP84A8W
Glucose IY9XDZ35W2

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1296-1306

Subventions

Organisme : NIDDK NIH HHS
ID : K24 DK106414
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700005I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700003I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700002C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700002I
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK089174
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700001I
Pays : United States
Organisme : NHLBI NIH HHS
ID : T32 HL007024
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700004I
Pays : United States

Informations de copyright

© American Association for Clinical Chemistry 2020. All rights reserved. For permissions, please email: journals.permissions@oup.com.

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Auteurs

Bethany Warren (B)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Alexandra K Lee (AK)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Christie M Ballantyne (CM)

Department of Medicine, Baylor College of Medicine, Houston, TX.

Ron C Hoogeveen (RC)

Department of Medicine, Baylor College of Medicine, Houston, TX.

James S Pankow (JS)

University of Minnesota School of Public Health, Minneapolis, MN.

Morgan E Grams (ME)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Johns Hopkins School of Medicine, Baltimore, MD.

Anna Köttgen (A)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.

Elizabeth Selvin (E)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Johns Hopkins School of Medicine, Baltimore, MD.

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Classifications MeSH