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Aim To examine the association between treatment-achieved HbA1c values and incidence of both coronary artery disease (CAD) and severe eye disease with different diabetes treatments. Methods Associations of treatment-achieved HbA1c were investigated in various treatment groups [diet only; insulin; sulphonylurea (SU) alone; SU with glinides; and antihyperglycaemic agents other than glinides, SU or insulin] taken from a nationwide claims database of 14,633 Japanese diabetes patients. Cox’s regression analysis examined risks over a 5.1-year follow-up. Results A significant linear trend was associated with HbA1c levels and CAD events in the diet-only group, and CAD risks were significantly higher in insulin and SU groups with HbA1c ≤ 7.0% and > 8.0% than in the diet-only group with HbA1c ≤ 7.0%. In contrast to CAD, a linear association was observed regardless of treatment modality between achieved HbA1c levels and risk of severe diabetic eye disease, but with no significant difference in eye disease risk between groups with HbA1c ≤ 7.0% and 7.1–8.0% in those treated with either SU alone, SU with glinides, or insulin. Conclusion These findings suggest that the relationship between treatment-achieved HbA1c and incidence of both CAD and severe diabetic eye disease differed according to treatment, based on a large-scale real-life database. More research is now needed to confirm these findings and to further investigate the underlying mechanisms.

AIM Hepatic insulin clearance (HIC) is important in regulating plasma insulin levels. Diminished HIC causes inappropriate hyperinsulinaemia, and both obesity and fatty liver (FL), which are known to decrease HIC, can be found either together in the same patient or on their own. The mechanism by which obesity reduces HIC is presumed to be mediated by FL. However, few reports have examined the role of FL in the relationship between obesity and HIC in type 2 diabetes (T2D) patients. Therefore, our study investigated the association of HIC with clinical factors, including insulin sensitivity indices, focusing on the presence or absence of FL and obesity in T2D patients. METHOD Baseline data from 419 patients with T2D (279 men, 140 women; mean age: 57.6 years; body mass index: 25.5kg/m2) controlled by diet and exercise were analyzed. HIC was calculated from the ratio of fasting c-peptide to fasting insulin levels (HICCIR). Correlation analyses between HICCIR and clinical variables were performed using Pearson's product-moment correlation coefficients and single regression analysis in all participants and in those with obesity and FL either alone or in combination. RESULTS HICCIR was significantly correlated with whole-body insulin sensitivity indices and influenced by FL, but only in the FL group was obesity independently influenced HIC level. HICCIR decreased in those with both FL and obesity compared with those with only one such complication. CONCLUSION HICCIR may be used to evaluate whole-body insulin sensitivity in T2D. Also, compared with obesity, the influence of FL strongly contributed to a reduced HIC. TRIAL REGISTRATION NUMBER These trials were registered by the Japan Pharmaceutical Information Centre clinical trials information (JapicCTI) as 101349 and 101351.

Objective This study aimed to examine the impact of obesity, as defined by body mass index (BMI), and a metabolically unhealthy phenotype on the development of coronary artery disease (CAD) according to glucose tolerance status. Methods This population-based retrospective cohort study included 123,746 Japanese men aged 18–72years (normal glucose tolerance: 72,047; prediabetes: 39,633; diabetes: 12,066). Obesity was defined as a BMI≥25kg/m 2 . Metabolically unhealthy individuals were defined as those with one or more of the following conditions: hypertension, hypertriglyceridaemia and/or low HDL cholesterol. A Cox proportional hazards regression model identified variables related to CAD incidence. Results The prevalences of obese subjects with normal glucose tolerance, prediabetes and diabetes were 21%, 34% and 53%, whereas those for metabolically unhealthy people were 43%, 60% and 79%, respectively. Multivariate analysis showed that a metabolically unhealthy phenotype increases hazard ratios (HRs) for CAD compared with a metabolically healthy phenotype, regardless of glucose tolerance status (normal glucose tolerance: 1.98, 95% CI: 1.32–2.95; prediabetes: 2.91, 95% CI: 1.85–4.55; diabetes: 1.90, 95% CI: 1.18–3.06). HRs for CAD among metabolically unhealthy non-obese diabetes patients and obese diabetes patients with a metabolically unhealthy status were 6.14 (95% CI: 3.94–9.56) and 7.86 (95% CI: 5.21–11.9), respectively, compared with non-obese subjects with normal glucose tolerance and without a metabolically unhealthy status. Conclusion A metabolically unhealthy state can associate with CAD independently of obesity across all glucose tolerance stages. Clinicians may need to consider those with at least one or more conditions indicating a metabolically unhealthy state as being at high risk for CAD regardless of glucose tolerance status.

Aims To examine the impact of glucose tolerance status on the development of coronary artery disease (CAD) in working-age men in Japan. Methods This population-based retrospective cohort study included 111,621 men aged 31–60 years [63,558 with normal glucose tolerance (NGT); 37,126 with prediabetes; 10,937 with diabetes]. The Cox proportional-hazards regression model was used to identify variables related to the incidence of CAD. Results Multivariate analysis showed that, compared with NGT, diabetes increased the risk of CAD by 17.3 times (95% CI: 6.36–47.0) at ages 31–40 years, by 2.74 times (95% CI: 1.85–4.05) at ages 41–50 years and by 2.47 times (95% CI: 1.69–3.59) at ages 51–60 years. The HRs for CAD in men with diabetes aged 31–40 equaled that of men with NGT aged 51–60 [18.2 (7.15–46.4) and 19.4 (8.28–45.4), respectively]. Conclusion The impact of diabetes on CAD was markedly greater in men aged 31–40 years compared with those aged 41–60 years.