Project description:ContextIn type 1 diabetes (T1D), delayed gastric emptying (GE) may predispose to a mismatch between insulin delivery and glucose absorption. Previous studies evaluated, only partly, the relationship between delayed GE and postprandial, but not diurnal, glycemia.ObjectiveTo assess the relationship between GE disturbances and glycemic control in T1D and the effects of accelerating GE on glycemic control.Design, setting, and participantsThis was a randomized placebo-controlled trial in 30 patients with T1D on an insulin pump at an academic medical center.Intervention(s)GE was evaluated with a [13C]-Spirulina breath test at baseline (GEbaseline), during intravenous saline or erythromycin (2 or 3 mg/kg; GEiv), and after 7 days of oral erythromycin or placebo (GEoral). Weighed meals were provided throughout the study.Main outcome measure(s)These were GE and continuous glucose monitoring (CGM).ResultsThe baseline glycosylated hemoglobin was 7.6% ± 0.8% (60 ± 8.7 mmol/mol); 12 patients (40%) had delayed GE; faster GE was associated with a greater postprandial CGM-based glucose, but slower GE was not associated with postprandial hypoglycemia (<70 mg/dL). Intravenous (3 mg/kg) but not oral erythromycin accelerated GE. The relationship between GE and glycemia differed between the postprandial periods and the entire day. After adjusting for carbohydrate intake and insulin consumption, faster GE was associated with more hyperglycemia during the postprandial period but lower glucose values across the entire study.ConclusionsIn T1D, pharmacologically mediated acceleration of GE increases postprandial CGM-based glucose. In contrast, delayed GE is associated with greater CGM-based glucose values over the entire day.
Project description:To evaluate the impact of poor glycemic control of type 2 diabetes mellitus (T2DM) on serum prostate-specific antigen (PSA) concentrations in men.We performed a prospective analysis of 215 consecutive patients affected by erectile dysfunction (ED). ED was evaluated using the IIEF-5 questionnaire and the poor glycemic control (PGC) of T2DM was assessed according to the HbA1c criteria (International Diabetes Federation). Patients were divided into PGC group (HbA1c ≥ 7%) and control group (CG) (HbA1c < 6%). Correlations between serum HbA1c levels and various variables were evaluated and multivariate logistic regression analyses were carried out to identify variables for PGC.We compared 110 cases to 105 controls men ranging from 44 to 81 years of age, lower PSA concentrations were observed in men with PGC (PGC mean PSA: 0.9 ng/dl, CG mean PSA: 2.1 ng/dl, p < 0.001). Also mean prostate volume was 60% was smaller among men with PGC compared with men with CG (PGC mean prostate volume: 26 ml, CG prostate volume: 43 ml, p < 0.001). A strong negative correlation was found between serum HbA1c levels and serum PSA (p < 0.001 and r = -0.665) concentrations in men with PGC. We also found at the multivariate logistic regression model that PSA, prostate volume and peak systolic velocity were independent predictors of PGC.Our results suggest that there is significant impact of PGC on serum PSA levels in T2DM. Poor glycemic control of type 2 diabetes was associated with lower serum PSA levels and smaller prostate volumes.
Project description:PurposeTo investigate the impact of poor eating habits on glycemic and metabolic control, we analyzed the associations between eating behaviors and HbA1c and body mass index (BMI) in Japanese workers with type 2 diabetes mellitus (T2DM).Subjects and methodsThe Japan Medical Data Center database of workers' medical health insurance claims was used to identify individuals with T2DM who were receiving antidiabetic medication between April 2012 and March 2015 (the primary analysis population). The database included routine medical check-up results and responses to questions on lifestyle and eating habits. Using these, we retrospectively analyzed the associations between the individuals' eating habits and their HbA1c levels and BMIs.ResultsIn total, 31,722 individuals were included in the primary analysis. The mean values of HbA1c and BMI were 7.27% and 26.29 kg/m2, respectively; these tended to be higher among the younger population. Approximately 36% of the individuals regularly ate supper within 2 hours of bedtime, 14.5% regularly consumed late-night snacks, and 13.4% regularly skipped breakfast. Each of these eating habits correlated significantly with higher HbA1c and BMI. In addition, the population with two or all three of these poor dietary habits showed the highest association with HbA1c ≥7.0% and BMI ≥25 kg/m2. Approximately 38% of workers ate fast. Fast eating was significantly associated with BMI ≥25 kg/m2 but not with HbA1c ≥7.0%.ConclusionPoor eating habits were significantly associated with poor glycemic and body weight control in Japanese workers with T2DM. Improved eating habits may help with glycemic and body weight management.
Project description:The effect of diabetes distress on glycemic control and its association with diabetes complications is still poorly understood. We aimed to study the clinical features of patients with high diabetes distress, focusing on changes in glycemic control and risk of diabetic complications. From the Korean National Diabetes Program data, we investigated 1862 individuals with type 2 diabetes mellitus (T2DM) who completed diabetic complication studies and the Korean version of the Problem Areas in Diabetes Survey (PAID-K). A total score of PAID-K ≥ 40 was considered indicative of high distress. Individuals with high distress (n = 589) had significantly higher levels of glycated hemoglobin than those without distress (7.4% vs. 7.1%, p < 0.001). This trend persisted throughout the 3-year follow-up period. Higher PAID-K scores were associated with younger age, female gender, longer duration of diabetes, and higher carbohydrate intake (all p < 0.05). There was a significant association between high distress and diabetic neuropathy (adjusted odds ratio, 1.63; p = 0.002), but no significant association was found with other complications, including retinopathy, albuminuria, and carotid artery plaque. In conclusion, high diabetes distress was associated with uncontrolled hyperglycemia and higher odds of having diabetic neuropathy.
Project description:Background The overall evidence base of anti-inflammatory therapies in patients with type 2 diabetes mellitus (T2DM) has not been systematically evaluated. The purpose of this study was to assess the effects of anti-inflammatory therapies on glycemic control in patients with T2DM. Methods PubMed, Embase, Web of Science, and Cochrane Library were searched up to 21 September 2022 for randomized controlled trials (RCTs) with anti-inflammatory therapies targeting the proinflammatory cytokines, cytokine receptors, and inflammation-associated nuclear transcription factors in the pathogenic processes of diabetes, such as interleukin-1β (IL-1β), interleukin-1β receptor (IL-1βR), tumor necrosis factor-α (TNF-α), and nuclear factor-κB (NF-κB). We synthesized data using mean difference (MD) and 95% confidence interval (CI). Heterogeneity between studies was assessed by I2 tests. Sensitivity and subgroup analyses were also conducted. Results We included 16 RCTs comprising 3729 subjects in the meta-analyses. Anti-inflammatory therapies can significantly reduce the level of fasting plasma glucose (FPG) (MD = - 10.04; 95% CI: -17.69, - 2.40; P = 0.01), glycated haemoglobin (HbA1c) (MD = - 0.37; 95% CI: - 0.51, - 0.23; P < 0.00001), and C-reactive protein (CRP) (MD = - 1.05; 95% CI: - 1.50, - 0.60; P < 0.00001) compared with control, and therapies targeting IL-1β in combination with TNF-α have better effects on T2DM than targeting IL-1β or TNF-α alone. Subgroup analyses suggested that patients with short duration of T2DM may benefit more from anti-inflammatory therapies. Conclusion Our meta-analyses indicate that anti-inflammatory therapies targeting the pathogenic processes of diabetes can significantly reduce the level of FPG, HbA1c, and CRP in patients with T2DM.
Project description:BackgroundSeveral studies have reported that clinical practice guidelines (CPGs) in a variety of clinical areas are of modest or variable quality. The objective of this study was to evaluate the quality of an international cohort of CPGs that provide recommendations on pharmaceutical management of glycemic control in patients with type 2 diabetes mellitus (DM2).Methods and findingsWe searched the National Guideline Clearinghouse (NGC) on February 15th and June 4th, 2012 for CPGs meeting inclusion criteria. Two independent assessors rated the quality of each CPG using the Appraisal of Guidelines for Research & Evaluation II (AGREE II) instrument. Twenty-four guidelines were evaluated, and most had high scores for clarity and presentation. However, scope and purpose, stakeholder involvement, rigor of development, and applicability domains varied considerably. The majority of guidelines scored low on editorial independence, and only seven CPGs were based on an underlying systematic review of the evidence.ConclusionsThe overall quality of CPGs for glycemic control in DM2 is moderate, but there is substantial variability among quality domains within and across guidelines. Guideline users need to be aware of this variability and carefully appraise and select the guidelines that they apply to patient care.
Project description:AimsTo determine whether carotid intima-media thickness (CIMT), a surrogate marker of cardiovascular disease (CVD), is associated with long-term blood glucose control in individuals with type 1 diabetes (T1D).MethodsWe recruited 508 individuals (43.4% men; median age 46.1, IQR 37.8-55.9 years) with T1D (median diabetes duration of 30.4, IQR 21.2-40.8 years) in a cross-sectional retrospective sub-study, part of the Finnish Diabetic Nephropathy (FinnDiane) Study. Glycated hemoglobin (HbA1c) data were collected retrospectively over the course of ten years (HbA1c-meanoverall) prior to the clinical study visit that included a clinical examination, biochemical sampling, and ultrasound of the common carotid arteries.ResultsIndividuals with T1D had a median CIMT of 606 μm (IQR 538-683 μm) and HbA1c of 8.0% (7.3-8.8%) during the study visit and HbA1c-meanoverall of 8.0% (IQR 7.3-8.8%). CIMT did not correlate with HbA1c (p = 0.228) at visit or HbA1c-meanoverall (p = 0.063). After controlling for relevant factors in multivariable linear regression analysis, only age was associated with CIMT (p < 0.001). After further dividing CIMT into quartiles, no correlation between long-term glucose control and CIMT (%, 1st 8.1 [IQR 7.2-8.9] vs 4th 7.9 [7.4-8.7], p = 0.730) was found.ConclusionsWe observed no correlation between long-term blood glucose control and CIMT in individuals with T1D. This finding suggests that the development of early signs of macrovascular atherosclerosis is not strongly affected by the glycemic control in people with T1D.
Project description:BackgroundLong-term durable glycemic control is a difficult goal in the management of type 2 diabetes mellitus (T2DM). We evaluated the factors associated with durable glycemic control in a real clinical setting.MethodsWe retrospectively reviewed the medical records of 194 new-onset, drug-naïve patients with T2DM who were diagnosed between January 2011 and March 2013, and were followed up for >2 years. Glycemic durability was defined as the maintenance of optimal glycemic control (glycosylated hemoglobin [HbA1c] <7.0%) for 2 years without substitution or adding other glucose-lowering agents. Clinical factors and glycemic markers associated with glycemic durability were compared between two groups: a durability group and a non-durability group.ResultsPatients in the durability group had a higher baseline body mass index (26.1 kg/m² vs. 24.9 kg/m²) and lower HbA1c (8.6% vs. 9.7%) than the non-durability group. The initial choice of glucose-lowering agents was similar in both groups, except for insulin and sulfonylureas, which were more frequently prescribed in the non-durability group. In multiple logistic regression analyses, higher levels of education, physical activity, and homeostasis model assessment of β-cell function (HOMA-β) were associated with glycemic durability. Notably, lower HbA1c (<7.0%) at baseline and first follow-up were significantly associated with glycemic durability (adjusted odds ratio [OR], 7.48; 95% confidence interval [CI], 2.51 to 22.3) (adjusted OR, 9.27; 95% CI, 1.62 to 53.1, respectively), after adjusting for confounding variables including the types of glucose-lowering agents.ConclusionEarly achievement of HbA1c level within the glycemic target was a determinant of long-term glycemic durability in new-onset T2DM, as were higher levels of education, physical activity, and HOMA-β.
Project description:BackgroundVeterans with evidence of homelessness have high rates of mental health and substance abuse disorders, but chronic medical conditions such as diabetes are also prevalent.ObjectiveWe aimed to determine the impact of homelessness on glycemic control in patients with type 2 diabetes mellitus.DesignLongitudinal analysis of a retrospective cohort.SubjectsA national cohort of 1,263,906 Veterans with type 2 diabetes. Subjects with evidence of homelessness were identified using a combination of diagnostic and administrative codes.Main measuresOdds for poor glycemic control using hemoglobin A1C (HbA1C) cutoff values of 8 % and 9 %. Homeless defined as a score based on the number of indicator variables for homelessness within a veterans chart.Key resultsVeterans with evidence of homelessness had a significantly greater annual mean HbA1C ≥ 8 (32.6 % vs. 20.43 %) and HbA1C ≥ 9 (21.4 % vs. 9.9 %), tended to be younger (58 vs. 67 years), were more likely to be non-Hispanic black (39.1 %), divorced (43 %) or never married (34 %), to be urban dwelling (88.8 %), and to have comorbid substance abuse (46.7 %), depression (42.3 %), psychoses (39.7 %), liver disease (18.8 %), and fluid/electrolyte disorders (20.4 %), relative to non-homeless veterans (all p < 0.0001). Homelessness was modeled as an ordinal variable that scored the number of times a homelessness indicator was found in the Veterans medical record. We observed a significant interaction between homelessness and race/ethnicity on the odds of poor glycemic control. Homelessness, across all racial-ethnic groups, was associated with increased odds of uncontrolled diabetes at a cut-point of 8 % and 9 % for hemoglobin A1C ; however, the magnitude of the association was greater in non-Hispanic whites [8 %, OR 1.55 (1.47;1.63)] and Hispanics [8 %, OR 2.11 (1.78;2.51)] than in non-Hispanic blacks [8 %, OR 1.22 (1.15;1.28)].ConclusionsHomelessness is a significant risk factor for uncontrolled diabetes in Veterans, especially among non-Hispanic white and Hispanic patients. While efforts to engage homeless patients in primary care services have had some success in recent years, these data suggest that broader efforts targeting management of diabetes and other chronic medical conditions remain warranted.
Project description:Despite the worldwide growth of class II and III obesity, the factors associated with type 2 diabetes mellitus (T2DM) in these obese individuals are not widely understood. Moreover, no study has investigated these associations in South America. Our study aimed to investigate the prevalence of T2DM and its associated factors, with an emphasis on biochemical parameters and eating habits, in class II and III obese individuals. We also aimed to analyze the correlation between glycemic parameters and body mass index (BMI). Baseline data from a randomized clinical trial (DieTBra Trial) of 150 class II and III obese individuals (BMI > 35 kg/m2) was used. An accelerometer, Food Frequency Questionnaire, and bioimpedance analysis were used to assess physical activity levels, eating habits, and body composition, respectively. Blood was collected after 12 h of fasting. Hierarchical multivariate Poisson regression was performed, and prevalence ratios (PRs) were calculated. Correlations between glycemic parameters (fasting blood glucose, glycosylated hemoglobin, homeostasis model assessment of insulin resistance (HOMA-IR), and insulin) and BMI were also analyzed. The prevalence of T2DM was 40.0% (95% CI, 32.1-48.3), high fasting blood glucose level was 19.33% (95% CI, 13.3-26.6), and high glycosylated hemoglobin was 32.67% (95% CI, 25.2-40.8). Age ≥ 50 years (PR = 3.17, 95% CI, 1.26-7.98) was significantly associated with T2DM; there was a positive linear trend between age and T2DM (p = 0.011). Multivariate analysis showed an association with educational level (PR = 1.49, 1.07-2.09, p = 0.018), nonconsumption of whole grains daily (PR = 1.67, 1.00-2.80, p = 0.049), and high HOMA-IR (PR = 1.54, 1.08-2.18, p = 0.016). We found a high prevalence of T2DM and no significant correlations between BMI and glycemic parameters.