Fasting plasma glucose and variation in cardiometabolic risk factors in people with high-risk HbA1c-defined prediabetes: A cross-sectional multiethnic study. (December 2017)

• Record Type: Journal Article
• Authors: Srivanichakorn, Weerachai; Godsland, Ian F.; Thomson, Hazel; Misra, Shivani; Phisalprapa, Pochamana; Charatcharoenwitthaya, Phunchai; Pramyothin, Pornpoj; Washirasaksiri, Chaiwat; Snehalatha, Chamukuttan; Ramachandran, Ambady; Alberti, K. George M.M.; Johnston, Desmond G.; Oliver, Nick S.
• Is Part Of: Diabetes research and clinical practice. Volume 134(2017)
• Page Start: 183
• Page End: 190
• Publication Date: 2017-12
• Subjects: HbA1c -- Prediabetes -- Fasting plasma glucose -- Impaired fasting glucose -- Cardiometabolic risk factor -- Ethnicity; Diabetes -- Periodicals; Diabetes Mellitus -- Periodicals; 616.462
• DOI: 10.1016/j.diabres.2017.10.017
• Languages: English
• ISSNs: 0168-8227

Abstract

Highlights: In HbA1c-defined prediabetes, Independently, FPG measurement was weakly associated only with systolic BP. FPG adds little to cardiometabolic risk evaluation. UK Whites tend to have a particularly adverse cardiometabolic risk profile. Abstract: Aims: Variation in cardiometabolic risk in prediabetes and any impacts of ethnicity on such variation have been little studied. In an ethnically diverse dataset, selected according to a high-risk HbA1c-based definition of prediabetes, we have investigated relationships between glycaemia and cardiometabolic risk factors and the influence of ethnicity on these relationships. Methods: We undertook a cross-sectional analysis of baseline data from a diabetes prevention study in the UK and a chronic care clinic in Thailand, selected for people without diabetes (fasting plasma glucose <7.0 mmol/l) with HbA1c 6.0–6.4% (42–47 mmol/mol). Thai (n = 158) and UK White (n = 600), South Asian (n = 112), Black (n = 70) and other/mixed (n = 103) groups were distinguished and measurements included fasting plasma glucose (FPG), blood pressure (BP), lipids and insulin resistance-related risk factors (IRFs). Results: Independently of individual characteristics including ethnicity, only systolic BP was weakly associated with FPG (beta coefficient 1.76 (95%CI 0.10–3.42), p 0.03) and only LDL-c with IFG (FPG 5.6 to <7) (adjusted −0.14 (−0.27, −0.003) p 0.04). There were no significant independent associations with cardiometabolic risk factors when categories of impaired fasting glucose (FPG ≥ 6.1 to <7.0 mmol/L) were considered. Relative to White, South Asian ethnicity was independently associated with lower systolic and diastolic BP, Black with lower triglycerides, cholesterol/HDL-c ratio and having 2 or more IRFs, and Thai with lower cholesterol/HDL-c ratio and all three non-white ethnicities with lower total and LDL cholesterol. Conclusion: In high-risk HbA1c-defined prediabetes additional measurement of FPG will add little to evaluation of cardiometabolic risk. Additionally, UK Whites tend to have the most adverse cardiometabolic profile of any ethnic group.