Literature DB >> 29029196

Association Between Coronary Artery Calcification and the Hemoglobin Glycation Index: The Kangbuk Samsung Health Study.

Eun-Jung Rhee1, Jung-Hwan Cho1, Hyemi Kwon1, Se Eun Park1, Cheol-Young Park1, Ki-Won Oh1, Sung-Woo Park1, Won-Young Lee1.   

Abstract

Context: The hemoglobin glycation index (HGI) is known to be correlated with the risk for cardiovascular disease. Objective: To analyze the association between incident coronary artery calcification (CAC) and the changes in HGI among participants without diabetes, over 4 years. Design, Setting, Participants, and Outcome Measures: A retrospective study of 2052 nondiabetic participants in whom the coronary artery calcium score was measured repeatedly over 4 years, as part of a health checkup program in Kangbuk Samsung Hospital in Korea, and who had no CAC at baseline. The HGI was defined as the difference between the measured and predicted hemoglobin A1c (HbA1c) levels.
Results: A total of 201 participants developed CAC after 4 years, and the mean baseline HGI was significantly higher in those patients. The incidence of CAC gradually increased from the first to the fourth quartile groups of baseline HGI. The odds ratio (OR) for incident CAC was the highest among the four groups divided by the quartiles of the baseline HGI and was significant after adjustment for confounding variables (vs first quartile group: OR, 1.632; 95% confidence interval, 1.024 to 2.601). The incidence of and risk for CAC development were significantly higher than in other groups compared with the low-to-low group after adjustment for confounding factors; however, when baseline HbA1c level was included in the model, only participants with a low-to-high HGI over 4 years showed a significantly increased OR for CAC development compared with the low-to-low group (OR, 1.722; 95% confidence interval, 1.046 to 2.833). Conclusions: The participants with a high baseline HGI and consistently high HGI showed a higher risk for incident CAC than those with a low baseline HGI. An increased HGI over 4 years significantly increased the risk for CAC regardless of the baseline HbA1c levels.
Copyright © 2017 Endocrine Society

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Year:  2017        PMID: 29029196     DOI: 10.1210/jc.2017-01723

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  9 in total

1.  Implications of the Hemoglobin Glycation Index on the Diagnosis of Prediabetes and Diabetes.

Authors:  Daniel S Hsia; Neda Rasouli; Anastassios G Pittas; Christine W Lary; Anne Peters; Michael R Lewis; Sangeeta R Kashyap; Karen C Johnson; Erin S LeBlanc; Lawrence S Phillips; James M Hempe; Cyrus V Desouza
Journal:  J Clin Endocrinol Metab       Date:  2020-03-01       Impact factor: 5.958

2.  A Kinetic Model for Glucose Levels and Hemoglobin A1c Provides a Novel Tool for Individualized Diabetes Management.

Authors:  Yongjin Xu; Timothy C Dunn; Ramzi A Ajjan
Journal:  J Diabetes Sci Technol       Date:  2020-01-08

3.  Consistency of the Glycation Gap with the Hemoglobin Glycation Index Derived from a Continuous Glucose Monitoring System.

Authors:  Han Na Joung; Hyuk-Sang Kwon; Ki-Hyun Baek; Ki-Ho Song; Mee Kyoung Kim
Journal:  Endocrinol Metab (Seoul)       Date:  2020-06-24

4.  Relationships between Thigh and Waist Circumference, Hemoglobin Glycation Index, and Carotid Plaque in Patients with Type 2 Diabetes.

Authors:  Myung Ki Yoon; Jun Goo Kang; Seong Jin Lee; Sung-Hee Ihm; Kap Bum Huh; Chul Sik Kim
Journal:  Endocrinol Metab (Seoul)       Date:  2020-06-24

5.  New Model for Predicting the Presence of Coronary Artery Calcification.

Authors:  Samel Park; Min Hong; HwaMin Lee; Nam-Jun Cho; Eun-Young Lee; Won-Young Lee; Eun-Jung Rhee; Hyo-Wook Gil
Journal:  J Clin Med       Date:  2021-01-25       Impact factor: 4.241

6.  Standardizing the haemoglobin glycation index.

Authors:  James M Hempe; Shengping Yang; Shuqian Liu; Daniel S Hsia
Journal:  Endocrinol Diabetes Metab       Date:  2021-09-23

7.  Hemoglobin glycation index, calculated from a single fasting glucose value, as a prediction tool for severe hypoglycemia and major adverse cardiovascular events in DEVOTE.

Authors:  Klara R Klein; Edward Franek; Steven Marso; Thomas R Pieber; Richard E Pratley; Amoolya Gowda; Kajsa Kvist; John B Buse
Journal:  BMJ Open Diabetes Res Care       Date:  2021-11

Review 8.  The Influence of Obesity and Metabolic Health on Vascular Health.

Authors:  Eun-Jung Rhee
Journal:  Endocrinol Metab (Seoul)       Date:  2022-02-28

9.  Association of hemoglobin glycation index and its interaction with obesity/family history of hypertension on hypertension risk: a community-based cross-sectional survey.

Authors:  Jing Mi; Jian Song; Yingying Zhao; Xuesen Wu
Journal:  BMC Cardiovasc Disord       Date:  2020-11-04       Impact factor: 2.298

  9 in total

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