Diabetology International最新文献

Aims: To find an index of glycemic exposure that predicts retinopathy by a simple regression setting regardless of duration in type 1 diabetes which might be useful for the care of diabetes.

Materials and methods: To exclude the possible disturbing effect of metabolic memory, we examined a subgroup of patients with glycohemoglobin A1c (A1C) data for the total period of type 1 diabetes selected from the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications data. Three indices-(1) mean value of yearly A1C (mA1C), (2) sum of yearly A1C values (ƩA1C), and (3) sum of yearly A1C values above 6.5% (ƩexcessA1C)-were assessed as potential candidates. Development of retinopathy was defined by ≥ 3-steps' progression of retinopathy from baseline.

Results: The areas under the receiver operating characteristics curves of the indices for development of retinopathy at years 5, 9, and 13 after the onset of diabetes were the same: 0.8481, 0.8762, and 0.8213, respectively, indicating that each index was substantially capable of predicting development of retinopathy at each timepoint. Linear regression analyses showed that each index had significant and substantial linear relations to retinopathy at each timepoint: all P < 0.0001 for slopes; contribution rate R² = 0.21 (year 5), 0.46 (year 9), and 0.48 (year 13) for each index. But only ƩexcessA1C index appeared to have similar linear relations to retinopathy at all three timepoints (interactions by timepoint: for slopes: P = 0.1393; for intercepts: P = 0.9366).

Conclusion: ƩexcessA1C may have the potential to predict retinopathy by just one linear regression setting regardless of duration in type 1 diabetes.

It is important to provide "Diabetes Self-Management Education and Support," the ongoing process of facilitating the knowledge, skills, and ability necessary for diabetes self-care, immediately after diagnosis. In this 12-month (12 M) longitudinal observational study, outpatients within 3 months of their first diagnosis of type 2 diabetes mellitus (T2DM) were surveyed at baseline (BL) and 12 M using a self-administered questionnaire used in the "Lifestyle Intervention Support Software for Diabetes Prevention" and medical record survey. To explore factors associated with the change extent in HbA1c level during the 12 M post-diagnosis, hierarchical multiple regression analysis was performed with sex, age, HbA1c level at BL, medication in the first 12 M post-diagnosis, and lifestyle behaviors related to diet and exercise therapy as independent variables. The HbA1c level of the 89 participants was 8.4% ± 2.2% at BL and 6.7% ± 1.0% at 12 M. "ND06 I add milk to coffee or tea (reverse item)" (β = -0.110, p = 0.015), "RD15 I eat vegetable dishes such as a vegetable side dish and/or a vinegar or pickle dish" (β = 0.151, p = 0.003), "ND02 I eat until I feel full (reverse item)" (β = -0.115, p = 0.024), and "RD14 I select udon or soba instead of Chinese noodles in soups" (β = -0.113, p = 0.007) were associated with the change extent in the HbA1c level during the 12 M post-diagnosis. Overall, it may be useful to support patients with T2DM early post-diagnosis to improve lifestyle behaviors associated with the extent of change in HbA1c level during the 12 M post-diagnosis.

We investigated the association of glycemic control in the early phase of hospitalization with the prognosis of COVID-19 in patients with diabetes. We analyzed the relationship between various clinical indices, including preprandial blood glucose levels measured by self-monitoring devices in the early phase after admission, and severe prognosis in 189 patients with complicated diabetes who were admitted to our hospital between February 22, 2020 and June 20, 2021. Enrolled patients had a median age of 72 years, median body mass index of 24.7, median HbA1c of 7.1%, and median mean preprandial capillary glucose (PPCG) of 179.1 mg/dL. Sixty-six patients progressed to severe disease, and the mean PPCG in severe cases was significantly higher than that in non-severe cases, 195.2 vs 167.8 mg/dL (p = 0.005). Analysis of the receiver operating characteristic curve showed that 179 mg/dL was the cut-off value, and the risk of severity was significantly higher in patients with a mean PPCG of 180 mg/dL or higher (odds ratio (OR) 3.210, p = 0.017) in multiple regression analysis. In this study, we found that the risk of severe COVID-19 increased in patients with a high mean PPCG in the early phase of hospitalization, suggesting that good glucose control in the early phase of COVID-19 with diabetes may be effective in preventing disease severity.

Supplementary information: The online version contains supplementary material available at 10.1007/s13340-023-00656-8.

Aims/introduction: We aimed to identify the frequency and risk factors of pre-ulcerative lesions of foot in Japanese individuals with diabetes.

Materials and methods: This was a single-center cross-sectional observational study. We conducted a questionnaire survey of 5029 individuals with diabetes (mean age 63 years; 2185 women; 1015 individuals with type 1 diabetes and 4014 individuals with type 2 diabetes) who (a) participated in the Diabetes Study from the Center of Tokyo Women's Medical University: DIACET 2018, and (b) responded to the presence of pre-ulcerative lesions of foot. A pre-ulcerative lesions of foot was defined as a calluses, ingrown nails, or symptoms of fungal infection. The associations between pre-ulcerative lesions of foot and commonly available clinical information were examined using the logistic regression analysis.

Results: 412 of 1015 (40.6%) individuals with type 1 diabetes and 1585 of 4014 (39.5%) individuals with type 2 diabetes reported having any type of pre-ulcerative lesions of foot. The frequency of calluses, ingrown nails, and symptoms of fungal infection, respectively, were 16.8%, 15.8%, and 21.9% in type 1 diabetes and 10.5%, 18.5%, and 24.7% in type 2 diabetes. In the separate analysis by type of diabetes, common risk factors found to be significantly correlated with pre-ulcerative lesions of foot were female gender, numbness in the feet and foot deformation.

Conclusion: Proactive foot screening by health care professionals was considered important, especially in individuals with type 1 and type 2 diabetes with advanced complications and foot deformation.

Supplementary information: The online version contains supplementary material available at 10.1007/s13340-023-00649-7.

Vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been used worldwide since the 2020 coronavirus pandemic. However, several negative side-effects of these vaccines have been reported. Herein, we present a case of a patient with fulminant type 1 diabetes that developed shortly after administration of the SARS-CoV-2 vaccine. A 47-year-old man with no medical history presented with hyperglycemia-related symptoms shortly after receiving the third messenger ribonucleic acid SARS-CoV-2 vaccine. Based on hyperglycemia, diabetic ketoacidosis at onset, relatively low hemoglobin A1c levels, and complete depletion of endogenous insulin secretion, the patient was diagnosed with fulminant type 1 diabetes and insulin therapy was initiated. Through human leukocyte antigen genotyping, the disease-susceptible alleles for type 1 diabetes, DRB1*04:05 and DQB1*04:01, were identified. The patient tested positive for serum anti-glutamic acid decarboxylase antibodies, which are normally negative for fulminant type 1 diabetes, implying that immunomodulation triggered by SARS-CoV-2 vaccination influenced the onset of type 1 diabetes.

Aims: This study analyzed the gait patterns of diabetic peripheral neuropathy (DPN) patients and changes in the center of mass sway to prevent the formation and recurrence of foot ulcers.

Methods: Forty-two subjects were divided into the diabetes mellitus (DM), DPN, and diabetic foot ulcer (DFU) groups. We measured the range of motion (ROM) of the lower limb joints in the resting position and the center of mass sway in the standing position. Joint angles, ROM during walking, and distance factors were evaluated.

Results: In the DFU group, ROM limitation during walking was detected at the knee joint, and functional and ROM limitations were found at the ankle joint. The step length ratio and step width in the DFU group were significantly lower and higher than those in the DM group, respectively. The sway distances in the DFU group were greater than those in the DM and DPN groups.

Conclusions: Functional joint limitations and gait changes due to the decreased ability to maintain the center of gravity were observed in the DFU group. As DPN progressed, the patients' gait became small, wide, and shuffled. Thus, supporting joint movement during walking may help reduce the incidence and recurrence of foot ulcers.

Supplementary information: The online version contains supplementary material available at 10.1007/s13340-023-00647-9.

Aims/introduction: Diabetic cardiomyopathy (DCM) is characterized predominantly by diastolic dysfunction. The multiple mechanisms underlying DCM include altered energy substrate utilization. Recent studies indicate that PPARα plays an important role in the pathogenesis of lipotoxic cardiomyopathy. Pemafibrate is known to be a selective PPARα modulator (SPPARMα). We thus investigated the effects of pemafibrate on cardiac diastolic function in patients with type 2 diabetes.

Materials and methods: Seventeen patients with type 2 diabetes (T2D) and hypertriglyceridemia were screened and treated with pemafibrate at a dose of 0.2 mg/day for 8-16 weeks. Fourteen patients were eligible for analysis. Echocardiography was used for assessment of diastolic function. Early diastolic filling velocity (E), late atrial filling velocity (A) and the E/A ratio were included in this study. Peak early diastolic annular velocities (e') were also assessed using color tissue Doppler images. The primary endpoints were changes in the ratio of E to A (E/A), e', and the ratio of E to e' (E/e') from baseline.

Results: Pemafibrate significantly increased average e' (7.24 ± 0.58 vs 7.94 ± 0.67, p = 0.019) and a significant reduction in E/e' (9.01 ± 0.94 vs 8.20 ± 0.91, p = 0.041). The increase in e' was significantly related to increases in fasting blood glucose (r = 0.607, p = 0.021) and non-esterified fatty acid (r = 0.592, p = 0.026).

Conclusion: Pemafibrate improved diastolic function in patients with T2D and hypertriglyceridemia, suggesting that PPARα activation by pemafibrate prevents the development of DCM at an early stage.

The significance of diagnosing gestational diabetes mellitus (GDM) in early pregnancy is controversial. We used the International Association of Diabetes and Pregnancy Study Group (IADPSG) criteria to investigate whether clinical background and neonatal outcomes differ depending on when GDM is diagnosed in early or late pregnancy. This was a single-center, observational study conducted between November 2012 and March 2020 at St. Marianna University Hospital (Kawasaki, Japan). We compared the background and perinatal outcomes of patients with GDM depending on the time of diagnosis (at < 24 gestational weeks or ≥ 24 weeks). Insulin sensitivity index, homeostasis model assessment of insulin resistance, and β-cell function were calculated from a 75-g oral glucose tolerance test. Stratified analysis was performed by pre-pregnancy BMI in patients with early GDM. As a result, in the 507 patients, 89.9% gave birth at our hospital. The pre-pregnancy BMI was significantly higher in patients with early GDM than in those with late GDM (the median [interquartile range], 22.7 [20.3, 26.3] and 21.5 [19.3, 23.8] kg/m², respectively; p = 0.001). Perinatal outcomes were not different between the two groups. However, in the subgroup analysis of patients with early GDM, the prevalence of large-for-gestational-age infants was significantly higher in the group with overweight (15.4% vs 2.1%, respectively; p = 0.008). In conclusion, patients with GDM using the IADPSG criteria in early pregnancy may be treated, especially in patients with pre-pregnancy overweight.

[This corrects the article DOI: 10.1007/s13340-022-00605-x.].

Background: Previous meta-analyses have assessed the relationship between carbohydrate intake and type 2 diabetes (T2D) risk; however, they included few studies of Asian populations who have a higher carbohydrate intake and lower insulin secretory capacity than non-Asians. Since the publication of the previous meta-analyses, three further studies of Asian populations have been conducted. Based on this background, the present study aimed to perform an updated systematically examine observational studies concerning the link between dietary carbohydrate intake and T2D risk.

Methods: We conducted a systematic search for cohort studies that investigated the target association. For each analyzed study, parameter-adjusted risk ratios were used to compare the lowest and highest carbohydrate-intake groups in terms of their risk of incident T2D. The risk ratios were calculated using a random-effects model.

Results: Ten publications were analyzed. Overall, carbohydrate intake was found not to be associated with increased risk ratios of incident T2D (risk ratio [RR] = 1.07; 95% confidence interval [95% CI] = 0.94, 1.21; P < 0.01, I² = 61.9%). However, studies of Asian populations reported that high carbohydrate intake is significantly associated with this risk (RR = 1.29; 95% CI 1.15, 1.45; P = 0.59, I² = 0.0%).

Conclusions: This updated meta-analysis showed that, overall, carbohydrate intake is not associated with the risk of T2D; nevertheless, a significant association exists among Asian populations. To confirm the association between dietary carbohydrate intake and T2D risk observed in this study, further evidence from long-term observational studies of Asian populations is required.

Supplementary information: The online version contains supplementary material available at 10.1007/s13340-023-00642-0.