1-Hour and 2-Hour Postload Glucose Level on Oral Glucose Tolerance Test and the Risk of Incident Metabolic Syndrome.


Journal

The Journal of clinical endocrinology and metabolism
ISSN: 1945-7197
Titre abrégé: J Clin Endocrinol Metab
Pays: United States
ID NLM: 0375362

Informations de publication

Date de publication:
01 02 2019
Historique:
received: 21 05 2018
accepted: 13 09 2018
pubmed: 22 9 2018
medline: 18 12 2019
entrez: 22 9 2018
Statut: ppublish

Résumé

Metabolic syndrome (MetS) increases the cardiometabolic risk even in nondiabetic patients. Previous studies have demonstrated that 1-hour postload glucose (PG) and 2-hour PG based on oral glucose tolerance test (OGTT) predicted cardiometabolic risk. However, it is still unclear whether and to what extent postload glucose is associated with the risk of MetS. A total of 5389 nondiabetic Koreans were dichotomized into normoglycemic (NG) groups and abnormal glycemic groups based on OGTT, including elevated 1-hour PG (155 to 199 mg/dL) and impaired glucose tolerance (IGT) (2-hour PG 140 to 199 mg/dL), and followed up for 10 years. Cox proportional hazard model was used to evaluate hazard ratios (HRs) with 95% CIs for incident MetS. Subgroups were determined by high or normal 1-hour PG (cutoff: 155 mg/dL) and 2-hour PG (cutoff: 140 mg/dL). Compared with NG, the risk of MetS increased proportionally to the level of 1-hour PG and 2-hour PG, independently of the number of baseline metabolic components. Even within people with normoglycemia, elevated PG above specific levels (1-hour PG ≥115 mg/dL and 2-hour PG ≥100 mg/dL) was significantly associated with the increased risk of MetS. In subgroup analysis, adjusted HR for MetS was higher in the group with high 1-hour PG and normal 2-hour PG [1.53 (95% CI, 1.35 to 1.74)] than in the group with normal 1-hour PG and high 2-hour PG [1.32 (95% CI, 1.02 to 1.70)]. Elevated 1-hour PG and 2-hour PG significantly are associated with greater risk for MetS, and 1-hour PG was superior to 2-hour PG in predicting MetS.

Sections du résumé

Background
Metabolic syndrome (MetS) increases the cardiometabolic risk even in nondiabetic patients. Previous studies have demonstrated that 1-hour postload glucose (PG) and 2-hour PG based on oral glucose tolerance test (OGTT) predicted cardiometabolic risk. However, it is still unclear whether and to what extent postload glucose is associated with the risk of MetS.
Methods
A total of 5389 nondiabetic Koreans were dichotomized into normoglycemic (NG) groups and abnormal glycemic groups based on OGTT, including elevated 1-hour PG (155 to 199 mg/dL) and impaired glucose tolerance (IGT) (2-hour PG 140 to 199 mg/dL), and followed up for 10 years. Cox proportional hazard model was used to evaluate hazard ratios (HRs) with 95% CIs for incident MetS. Subgroups were determined by high or normal 1-hour PG (cutoff: 155 mg/dL) and 2-hour PG (cutoff: 140 mg/dL).
Results
Compared with NG, the risk of MetS increased proportionally to the level of 1-hour PG and 2-hour PG, independently of the number of baseline metabolic components. Even within people with normoglycemia, elevated PG above specific levels (1-hour PG ≥115 mg/dL and 2-hour PG ≥100 mg/dL) was significantly associated with the increased risk of MetS. In subgroup analysis, adjusted HR for MetS was higher in the group with high 1-hour PG and normal 2-hour PG [1.53 (95% CI, 1.35 to 1.74)] than in the group with normal 1-hour PG and high 2-hour PG [1.32 (95% CI, 1.02 to 1.70)].
Conclusion
Elevated 1-hour PG and 2-hour PG significantly are associated with greater risk for MetS, and 1-hour PG was superior to 2-hour PG in predicting MetS.

Identifiants

pubmed: 30239751
pii: 5098353
doi: 10.1210/jc.2018-01102
doi:

Substances chimiques

Blood Glucose 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

539-549

Auteurs

Sung Keun Park (SK)

Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.

Jae-Hong Ryoo (JH)

Department of Occupational and Environmental Medicine, College of Medicine, Kyung Hee University, Seoul.

Chang-Mo Oh (CM)

Departments of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, Korea.

Joong-Myung Choi (JM)

Departments of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, Korea.

Ju Young Jung (JY)

Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University, School of Medicine, Seoul, Korea.

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