Risk of coronary artery disease according to glucose abnormality status and prior coronary artery disease in Japanese men

• Published in: Metabolism, clinical and experimental Vol. 101; p. 153991
• Main Authors: Kitazawa, Masaru, Fujihara, Kazuya, Osawa, Taeko, Yamamoto, Masahiko, Yamada, Mayuko Harada, Kaneko, Masanori, Matsubayashi, Yasuhiro, Yamada, Takaho, Yamanaka, Nauta, Seida, Hiroyasu, Sone, Hirohito
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.12.2019
• Subjects: Adolescent; Adult; Aged; Blood Glucose - analysis; Cardiovascular disease; Clinical epidemiology; Coronary artery disease; Coronary Artery Disease - epidemiology; Coronary Artery Disease - etiology; Coronary Artery Disease - pathology; Diabetes Mellitus; Glucose abnormality status; Humans; Hyperglycemia; Male; Middle Aged; Recurrence; Regression Analysis; Risk Factors; Young Adult; SBP; Glucose abnormality status; DBP; TG; Clinical epidemiology; CAD; PCI; HRs; Cardiovascular disease; CABG; Coronary artery disease; Risk factors
• ISSN: 0026-0495; 1532-8600
• DOI: 10.1016/j.metabol.2019.153991

Although glucose abnormality status (GAS), prior coronary artery disease (CAD), and other traditional risk factors affect the incidence of subsequent CAD, their impact in the same cohort has been scantly studied. We analyzed data from a nationwide claims database in Japan that was accumulated during 2008–2016 involving 138,162 men aged 18–72 years. Participants were classified as having normoglycemia, borderline glycemia, or diabetes mellitus (DM) with prior CAD (CAD+) or without prior CAD (CAD−). Cox regression model identified variables related to the incidence of CAD. Among CAD−, management of traditional risks differed from those with and without subsequent CAD events. On the other hand, such differences were weaker in borderline glycemia and DM CAD+, and the influence of traditional risk factors on subsequent CAD was not observed. Cox regression model showed that borderline glycemia and DM confer approximately 1.2- and 2.8-fold excess risks of CAD, respectively, compared with CAD− with normoglycemia. CAD+ confers approximately a 5- to 8-fold increased risk. The impacts of DM and prior CAD additively reached a hazard ratio (HR) of 15.74 (95% confidence interval [CI]: 11.82–21.00). However, the HR in those with borderline glycemia and CAD+ was 7.20 (95% CI: 5.01–10.34), which was not different from those with normoglycemia and CAD+. Control status of traditional risk factors and impact on subsequent CAD differ among categories of glycemic status with and without prior CAD. Individualizing treatment strategies is needed in consideration of risk factors, such as GAS and CAD+. •Control status of traditional risks differs among glucose abnormality and prior CAD.•Prior CAD and DM confer 5- to 8-fold and 2.8-fold subsequent CAD risks, respectively.•The impact of borderline glycemia on subsequent CAD was modest.•The combination of prior CAD and DM presented a 15-fold increased risk of future CAD.