Short-term effects of allulose consumption on glucose homeostasis, metabolic parameters, incretin levels, and inflammatory markers in patients with type 2 diabetes: a double-blind, randomized, controlled crossover clinical trial.

PURPOSE: Allulose is a rare monosaccharide with almost zero calories. There is no study of short-term allulose consumption in patients with type 2 diabetes (T2D). Thus, we aimed to study the effect of allulose consumption for 12 weeks on glucose homeostasis, lipid profile, body composition, incretin levels, and inflammatory markers in patients with T2D. METHODS: A double-blind, randomized, controlled crossover study was conducted on sixteen patients with T2D. Patients were randomly assigned to allulose 7 g twice daily or aspartame 0.03 g twice daily for 12 weeks. After a 2-week washout, patients were crossed over to the other sweetener for an additional 12 weeks. Oral glucose tolerance tests, laboratory measurements, and dual-energy X-ray absorptiometry were conducted before and after each phase. RESULTS: This study revealed that short-term allulose consumption exerted no significant effect on glucose homeostasis, incretin levels, or body composition but significantly increased MCP-1 levels (259 ± 101 pg/ml at baseline vs. 297 ± 108 pg/mL after 12 weeks of allulose, p = 0.002). High-density lipoprotein cholesterol (HDL-C) significantly decreased from 51 ± 13 mg/dl at baseline to 41 ± 12 mg/dL after 12 weeks of allulose, p < 0.001. CONCLUSION: Twelve weeks of allulose consumption had a neutral effect on glucose homeostasis, body composition, and incretin levels. Additionally, it decreased HDL-C levels and increased MCP-1 levels. TRIAL REGISTRATION: This trial was retrospectively registered on the Thai Clinical Trials Registry (TCTR20220516006) on December 5, 2022.

Non-insulinoma Pancreatogeneous Hypoglycemia Syndrome with False-Positive Somatostatin Receptor Scintigraphy: A Case Report and Review of Literature.

Non-insulinoma pancreatogeneous hypoglycemia syndrome (NIPHS) is a rare cause of hypoglycemia in adults. The cause of NIPHS is diffuse hyperinsulinism. As a result, computed tomography (CT) of pancreas, endoscopic pancreatic ultrasonography (EUS), and somatostatin receptor scintigraphy (SSRS), which are usually performed to locate an insulinoma, are not able to diagnose NIPHS. Moreover, SSRS can give a false-positive result. In this case report, we introduce a 22-year-old Thai woman who presented with fasting and postprandial hyperinsulinemic hypoglycemia. Accordingly, an insulinoma was suspected. She underwent several studies to locate the lesion. Pancreatic CT and EUS failed to locate a lesion; however, SSRS showed a faint focus of increased uptake at the pancreatic head. The suspected insulinoma was not identified during a first operation. Thereafter other diagnostic methods were performed in an effort to locate the suspected insulinoma, including selective arterial calcium stimulation test. The result of the selective arterial calcium stimulation test was negative. Intraoperative ultrasonography during a second operation also failed to locate a tumor. Finally, a pancreatic head resection was performed according to SSRS result, yet capillary blood glucose levels did not increase after resection. In response, a 95% pancreatectomy was performed. The pathology report was consistent with diffuse hyperinsulinism. This report emphasizes that SSRS can give false positive result in NIPHS.

Switching from Intermittently Scanned Continuous Glucose Monitoring to Real-Time Continuous Glucose Monitoring with a Predictive Urgent Low Soon Alert Reduces Exposure to Hypoglycemia.

Differences in the effectiveness of real-time continuous glucose monitoring (rtCGM) and intermittently scanned continuous glucose monitoring (isCGM) in type 1 diabetes (T1D) are reported. The impact on percent time in range of switching from an isCGM with glucose threshold-based optional alerts only (FreeStyle Libre 2 [FSL2]) to an rtCGM (Dexcom G7) with an urgent low soon predictive alert was assessed, alongside other secondary outcomes including hemoglobin A1c (HbA1c) and other continuous glucose monitoring metrics. Adults with T1D using FSL2 were switched to Dexcom G7 for 12 weeks. HbA1c and continuous glucose data during FSL2 and Dexcom G7 use were compared. Data from 29 participants (aged 44.8 ± 16.5 years, 12 male and 17 female) were analyzed. After switching to rtCGM, participants spent less time in hypoglycemia below 3.9 mmol/L (70 mg/dL) (3.0% [1.0%, 5.0%] vs. 2.0% [1.0%, 3.0%], P = 0.006) and had higher percentage achievement of time below 3.9 mmol/L (70 mg/dL) of <4% (55.2% vs. 82.8%, P = 0.005). Coefficient of variation was lower (39.3 ± 6.6% vs. 37.2 ± 5.6%, P = 0.008). In conclusion, adults with T1D who switched from isCGM to rtCGM may benefit from reduced exposure to hypoglycemia and glycemic variability.

Effectiveness of a cognitive behavioral therapy-integrated, hospital-based program for prediabetes: a matched cohort study.

Intensive lifestyle interventions are effective in preventing T2DM, but evidence is lacking for high cardiometabolic individuals in hospital settings. We evaluated a hospital-based, diabetes prevention program integrating cognitive behavioral therapy (CBT) for individuals with prediabetes. This matched cohort assessed individuals with prediabetes receiving the prevention program, which were matched 1:1 with those receiving standard care. The year-long program included five in-person sessions and several online sessions covering prediabetes self-management, dietary and behavioral interventions. Kaplan-Meier and Cox regression models estimated the 60-month T2DM incidence rate. Of 192 patients, 190 joined the prevention program, while 190 out of 10,260 individuals were in the standard-care group. Both groups had similar baseline characteristics (mean age 58.9 ± 10.2 years, FPG 102.3 ± 8.2 mg/dL, HbA1c 5.9 ± 0.3%, BMI 26.2 kg/m2, metabolic syndrome 75%, and ASCVD 6.3%). After 12 months, the intervention group only showed significant decreases in FPG, HbA1c, and triglyceride levels and weight. At 60 months, the T2DM incidence rate was 1.7 (95% CI 0.9-2.8) in the intervention group and 3.5 (2.4-4.9) in the standard-care group. After adjusting for variables, the intervention group had a 0.46 times lower risk of developing diabetes. Therefore, healthcare providers should actively promote CBT-integrated, hospital-based diabetes prevention programs to halve diabetes progression.

Adjustment of Maternal Variable Rate Insulin Infusions Using Real-Time Continuous Glucose Monitoring in Pregnant Women with Type 1 Diabetes.

Real-time continuous glucose monitoring (CGM) in hospital holds promise; however, further evidence is required on its use to guide adjustment of variable rate intravenous insulin infusion (VRIII). We retrospectively analyzed data from 20 women with type 1 diabetes during the peripartum period who were commenced on VRIII. Data were analyzed for CGM accuracy (Dexcom G6) using point-of-care glucose-CGM matched pairs. The study was entirely observational, with no deviation from standard clinical care. Twenty women were included; median age 30 (26-35) years with first glycated hemoglobin in pregnancy of 57 (49-60) mmol/mol. Overall median absolute relative difference was 6.1 (1.6-17.3)%. The total simulated CGM-adjusted VRIII was 2.5 U per hour, compared with 2.4 U per hour with capillary blood glucose-adjusted VRIII. In this retrospective analysis of CGM adjustment of maternal VRIII, we demonstrate early feasibility and considerable accuracy. Further prospective studies are required to confirm the safety and potential efficacy of CGM-based insulin titration.

Dietary Intake and Physical Activity of Thai Children and Adolescents with Type 1 Diabetes Mellitus.

Appropriate dietary intake and physical activity (PA) are essential for glycemic control and optimal growth in youth with type 1 diabetes (T1D). Thus, this study aimed to compare dietary intake and PA between youth with T1D and healthy controls. One hundred Thai youth with T1D and 100 age-matched healthy participants were recruited. A 3-day food record was completed and converted into nutrient intake data. PA data were collected via interview. Participants with T1D had a significantly higher mean ± SD carbohydrate (50.8 ± 6.8% vs. 46.2 ± 7.5%, p < 0.01), lower fat (32.4 ± 5.9% vs. 35.9 ± 6.4%, p < 0.01), and lower protein (16.8 ± 2.6% vs. 17.9 ± 3.5%, p = 0.01) intake compared to controls. Fifty percent of T1D participants and 41% of control participants consumed saturated fat more than recommendations (p = 0.20). Participants with T1D had a higher median (IQR) calcium intake compared to controls (474 (297−700) vs. 328 (167−447) mg/day, p < 0.01). Both groups consumed less fiber and more sodium compared to recommendations. Both groups had inadequate PA. Participants with T1D had significantly less PA compared to controls (25 (13−48) vs. 34 (14−77) minutes/day, p = 0.04). In addition to the need for counseling that promotes consumption of more dietary fiber and calcium and less saturated fat and sodium, the benefits of performing regular exercise need to be emphasized among youth with T1D.

Clinical Characteristics, Glycemic Control, and Microvascular Complications Compared Between Young-Onset Type 1 and Type 2 Diabetes Patients at Siriraj Hospital - A Tertiary Referral Center.

Purpose: This study aimed to investigate the clinical characteristics, glycemic control, and microvascular complications compared between young-onset type 1 (T1DM) and type 2 diabetes (T2DM) patients at Siriraj Hospital. Patients and Methods: We collected demographic, clinical, glycemic control, and microvascular complication data of young-onset (onset <30 years of age) T1DM and T2DM patients at our center using February 2019-December 2020 data from the Thai Type 1 Diabetes and Diabetes diagnosed Age before 30 years Registry, Care and Network (T1DDAR CN). Results: Of 396 patients, 76% had T1DM and 24% had T2DM. At diagnosis, T1DM were significantly younger (9.7±5.4 vs 16.9±6.4 years, p<0.001), had a lower body mass index (17.2±4.1 vs 30.8±7.9 kg/m2, p<0.001), higher prevalence of diabetic ketoacidosis (DKA) (66.1% vs 13.7%, p<0.001), and higher HbA1c level (12.8±2.6% vs 10.9±3.1%, p=0.002) compared to T2DM. Regarding glycemic control, the mean HbA1c at registry enrollment did not differ between groups (T1DM 8.3±1.8% vs T2DM 8.1±2.2%, p=0.303), but T1DM achieved HbA1c <7% significantly less than T2DM (19.3% vs 47.8%, p<0.001). T1DM showed deterioration of glycemic control during 10-20 years of age, and gradually improved during 20-30 years of age, whereas patients with T2DM showed progressive worsening of glycemic control over time. Concerning microvascular complications, the prevalence of diabetic retinopathy (10.6% vs 9%, p=0.92) and diabetic neuropathy (3.4% vs 5.5%, p=0.514) between T1DM and T2DM was not significantly different. However, T2DM had a significantly higher prevalence of diabetic nephropathy (T1DM 10.1% vs T2DM 40.2%, p<0.001) that developed within a significantly shorter duration of diabetes (T1DM 11.0±6.8 vs T2DM 4.3±5.1 years, p<0.001) compared to T1DM. Conclusion: T1DM had a significantly high prevalence of DKA at presentation, and most T1DM did not achieve the glycemic target, especially during adolescence. T2DM had a significantly higher prevalence of diabetic nephropathy that developed within a shorter duration of diabetes compared to T1DM.

Cluster analysis of Thai patients with newly diagnosed type 2 diabetes mellitus to predict disease progression and treatment outcomes : A prospective cohort study.

INTRODUCTION: Type 2 diabetes mellitus (T2D) is highly heterogeneous in disease progression and risk of complications. This study aimed to categorize Thai T2D into subgroups using variables that are commonly available based on routine clinical parameters to predict disease progression and treatment outcomes. RESEARCH DESIGN AND METHODS: This was a cohort study. Data-driven cluster analysis was performed using a Python program in patients with newly diagnosed T2D (n=721) of the Siriraj Diabetes Registry using five variables (age, body mass index (BMI), glycated hemoglobin (HbA1c), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C)). Disease progression and risk of diabetic complications among clusters were compared using the Χ2 and Kruskal-Wallis test. Cox regression and the Kaplan-Meier curve were used to compare the time to diabetic complications and the time to insulin initiation. RESULTS: The mean age was 53.4±11.3 years, 58.9% were women. The median follow-up time was 21.1 months (9.2-35.2). Four clusters were identified: cluster 1 (18.6%): high HbA1c, low BMI (insulin-deficiency diabetes); cluster 2 (11.8%): high TG, low HDL-C, average age and BMI (metabolic syndrome group); cluster 3 (23.3%): high BMI, low HbA1c, young age (obesity-related diabetes); cluster 4 (46.3%): older age and low HbA1c at diagnosis (age-related diabetes). Patients in cluster 1 had the highest prevalence of insulin treatment. Patients in cluster 2 had the highest risk of diabetic kidney disease and diabetic retinopathy. Patients in cluster 4 had the lowest prevalence of diabetic retinopathy, nephropathy, and insulin use. CONCLUSIONS: We were able to categorize Thai patients with newly diagnosed T2D into four clusters using five routine clinical parameters. This clustering method can help predict disease progression and risk of diabetic complications similar to previous studies using parameters including insulin resistance and insulin sensitivity markers.

The Effect of Temperature on the Stability of In-Use Insulin Pens.

BACKGROUND: Improper storage of insulin could decrease its potency. Manufacturers recommend that in-use insulin pens should be kept at between 25-30°C, but room temperature in tropical countries often exceeds this range. This study investigates the effect of temperature on the stability of basal insulin in cartridges 28 days after opening. METHODS: Four different basal insulins were evaluated. Five opened pens of each insulin type were included for each of three storage conditions and 5 unopened insulin pens of each type were stored in the refrigerator as a control. The opened pens were stored for 28 days in either a refrigerator (2-8 °C), at room temperature, or in an incubator (37 °C). Each day insulin pens were mixed 20 times and 2 units were discarded to mimic daily usage. Insulin quantity was evaluated using an ultra-high-performance liquid chromatography assay. RESULTS: The average room temperature during the study period was 29.7 °C. After 28 days, the percentage amount of insulin stored at refrigerator, room temperature or incubator, compared with control was 99.0, 99.7, 101.1% for long-acting insulin; 97.4, 97.2, 99.0% for NPH-1; 101.4, 101.5, 100.7% for NPH-2; and 98.7, 97.8, 98.5% for NPH-3. There were no statistically significant differences. However, we observed a trend toward different stability between clear insulin analog and turbid NPH insulin. CONCLUSIONS: Temperature as high as 37°C and cyclic temperature,had no effect on the stability of in-use insulin pen.

In-Person Verification of Deep Learning Algorithm for Diabetic Retinopathy Screening Using Different Techniques Across Fundus Image Devices.

Purpose: To evaluate the clinical performance of an automated diabetic retinopathy (DR) screening model to detect referable cases at Siriraj Hospital, Bangkok, Thailand. Methods: A retrospective review of two sets of fundus photographs (Eidon and Nidek) was undertaken. The images were classified by DR staging prior to the development of a DR screening model. In a prospective cross-sectional enrollment of patients with diabetes, automated detection of referable DR was compared with the results of the gold standard, a dilated fundus examination. Results: The study analyzed 2533 Nidek fundus images and 1989 Eidon images. The sensitivities calculated for the Nidek and Eidon images were 0.93 and 0.88 and the specificities were 0.91 and 0.85, respectively. In a clinical verification phase using 982 Nidek and 674 Eidon photographs, the calculated sensitivities and specificities were 0.86 and 0.92 for Nidek along with 0.92 and 0.84 for Eidon, respectively. The 60°-field images from the Eidon yielded a more desirable performance in differentiating referable DR than did the corresponding images from the Nidek. Conclusions: A conventional fundus examination requires intense healthcare resources. It is time consuming and possibly leads to unavoidable human errors. The deep learning algorithm for the detection of referable DR exhibited a favorable performance and is a promising alternative for DR screening. However, variations in the color and pixels of photographs can cause differences in sensitivity and specificity. The image angle and poor quality of fundus photographs were the main limitations of the automated method. Translational Relevance: The deep learning algorithm, developed from basic research of image processing, was applied to detect referable DR in a real-word clinical care setting.

Effect of Thunbergia laurifolia Herbal Tea on Glucose Homeostasis in Healthy Volunteers: A Single-Arm Phase I Study.

BACKGROUND: Thunbergia laurifolia (TL) is a commonly used herbal medicine in Thailand and in other Asian countries. TL has been approved as a Thai traditional medicine for detoxifying poisons, and the list of possible adverse effects includes hypoglycemia. TL showed hypoglycemic effect in animals possibly due to antioxidant effect and beta-cell preservation. However, the safety of TL herbal tea and its effects on glucose homeostasis have never been investigated in humans. METHODS: Twenty healthy volunteers (10 men and 10 women) drank TL herbal tea 3 times/day for 2 weeks. Ten subjects took TL herbal tea 9 grams daily. After the safety of TL herbal tea was established, 10 more subjects took TL 12 grams daily. Clinical and biochemical tests were assessed at baseline and at 2 weeks. RESULTS: Mean age was 34.9 ± 10.2 years, and mean body mass index was 27.5 ± 5.8 kg/m2. Baseline and posttreatment plasma concentrations were as follows: fasting plasma glucose (89 ± 6 vs. 89 ± 7 mg/dL), fructosamine (213 ± 32 vs. 212 ± 33 µmol/L), fasting insulin (8.8 [IQR: 5.9-18.4] vs. 10.4 [IQR: 7.4-15.2] µU/mL), HOMA-B (101.6 [IQR: 82.3-189.8] vs. 120.4 [IQR: 93.2-153.2]), and HOMA-IR (1.1 [IQR: 0.8-2.3] vs. 1.4 [IQR: 0.9-2.0]), all respectively. There were no significant changes in these parameters, including body weight, blood pressure, lipid profile, and C-reactive protein. No serious adverse events were observed during the study period. CONCLUSIONS: TL herbal tea at doses of 9 and 12 grams daily had good tolerability without any significant adverse effects on fasting plasma glucose level or other glucose homeostasis parameters measured.

The obstacles to diabetes self-management education and support from healthcare professionals' perspectives: a nationwide survey.

Purpose: This study identified the obstacles to diabetes self-management education and support (DSMES) from healthcare professionals' perspectives in Thailand. Patients and methods: A cross-sectional survey was conducted at 613 hospitals throughout Thailand from December 2016 to March 2017. A self-completion questionnaire on the characteristics of, and obstacles to, diabetes education was sent to administrators, doctors, and diabetes educators (DEs). The views of DEs at public and private hospitals on the characteristics of diabetes education were compared. The obstructing factors reported by administrators, doctors, and DEs were also analyzed. Results: The overall response was 76.6%; the response rates of DEs, doctors, and administrators were 85.6%, 58.9%, and 46.5%, respectively. Although the respondents reported that 75% of patients received diabetes education, only 30% of the DEs believed it was successful. An individual-patient education approach was used by 95.1% of public and 81.4% of private hospitals. The median durations of the individual education sessions were 15 (IQR 10, 28) and 30 (IQR 15, 30) minutes for public and private hospitals, respectively. The DE workload at public hospitals was 3 times heavier than at private hospitals (60 [IQR 30, 140] vs 20 [IQR 10, 33] patients per week; p<0.001). Obstacles to diabetes education were a lack of time due to other duties, a lack of skills in assisting patients with behavior change, inadequate DE numbers, patient disinterest in diabetes education, and patient reluctance to change unhealthy behaviors. Conclusions: High workloads, unclear DE roles, and a lack of DE skills to support patients with behavior change are the primary obstacles to diabetes education.

Cardiometabolic risk factors in Thai individuals with prediabetes treated in a high-risk, prevention clinic: Unexpected relationship between high-density lipoprotein cholesterol and glycemia in men.

AIMS/INTRODUCTION: Relationships between cardiometabolic risk and glycemia have rarely been studied in people under clinical evaluation and treatment for cardiometabolic risk and with prediabetes. We investigated relationships between glycemia and cardiometabolic risk factors in clinic participants with prediabetes. MATERIALS AND METHODS: This was a cross-sectional analysis of data collected at a center in Thailand. Clinic attendees were at high risk of diabetes or cardiovascular disease, with hemoglobin A1c (HbA1c) 39-<48 mmol/mol or fasting plasma glucose (FPG) 5.6-<7.0 mmol/L. The relationships between glycemia and cardiometabolic risk factors were explored. RESULTS: Of 357 participants, two or more insulin resistance-related metabolic disturbances were present in 84%; 61% took a statin and 75% an antihypertensive agent. Independently of age, sex, adiposity, medication use, possible non-alcoholic fatty liver disease and sex-glycemia interaction, neither FPG nor HbA1c were associated with variation in any other cardiometabolic risk factors. High-density lipoprotein cholesterol decreased with HbA1c in women (female-HbA1c interaction, P = 0.03) but, unexpectedly, increased with FPG in men (male-FPG interaction, P = 0.02). CONCLUSIONS: Overall, in Thai people treated for high cardiometabolic risk and with prediabetes defined by FPG and/or HbA1c, neither FPG nor HbA1c were associated with other cardiometabolic risk factors. However, according to sex, high-density lipoprotein cholesterol showed the expected relationship with glycemia in women, but the reverse in men.

Nonthionamide Drugs for the Treatment of Hyperthyroidism: From Present to Future.

Hyperthyroidism is a common endocrine disease. Although thionamide antithyroid drugs are the cornerstone of hyperthyroidism treatment, some patients cannot tolerate this drug class because of its serious side effects including agranulocytosis, hepatotoxicity, and vasculitis. Therefore, nonthionamide antithyroid drugs (NTADs) still have an important role in controlling hyperthyroidism in clinical practice. Furthermore, some situations such as thyroid storm or preoperative preparation require a rapid decrease in thyroid hormone by combination treatment with multiple classes of antithyroid drugs. NTADs include iodine-containing compounds, lithium carbonate, perchlorate, glucocorticoid, and cholestyramine. In this narrative review, we summarize the mechanisms of action, indications, dosages, and side effects of currently used NTADs for the treatment of hyperthyroidism. In addition, we also describe the state-of-the-art in future drugs under development including rituximab, small-molecule ligands (SMLs), and monoclonal antibodies with a thyroid-stimulating hormone receptor (TSHR) antagonist effect.

Hyperglycemia and glycemic variability are associated with the severity of sepsis in nondiabetic subjects.

PURPOSE: The purpose was to compare glucose variability (GV) obtained via continuous glucose monitoring between nondiabetic sepsis patients and healthy subjects and to seek associations between GV and sepsis severity in nondiabetic sepsis patients. METHODS: Nondiabetic sepsis inpatients and healthy controls received a 72-hour continuous glucose monitoring (iPro2, Medtronic) postadmission and post-oral glucose tolerance test, respectively. The mean glucose level (MGL) along with GV represented by standard deviation (SD) and the mean amplitude of glycemic excursion (MAGE) were calculated at 24 and 72 hours. Sepsis severity was evaluated with the Sepsis-related Organ Failure Assessment Score (SOFA). MGL and GV in patients with SOFA ≥9 and <9 were compared. RESULTS: Thirty nondiabetic sepsis and 10 healthy subjects were recruited. No differences were found between groups except for higher patient age in sepsis patients. The MGL and MAGE72h of sepsis patients were significantly higher than those of healthy subjects. MGL and GV24h were higher in patients with SOFA ≥9 than in patients with SOFA <9 (MGL24h 195±17 vs 139±27, P<.001; SD24h 32 [28, 36] vs 19 [5, 58], P=.02; and MAGE24h 94 [58, 153] vs 54 [16, 179], P=.01). CONCLUSION: Nondiabetic sepsis patients had higher MGL and GV values than healthy subjects. MGL and GV24h were associated with sepsis severity.