Fasting Plasma Glucose Measurements Research Articles

Eating Patterns, Chronotypes, and Their Relationship with Metabolic Health in the Early Postpartum Period in Women after Gestational Diabetes Mellitus.

Observational studies have shown a relationship between eating patterns and chronotypes with metabolic health in the general population and in healthy pregnancies. Data are lacking in the postpartum period, which is characterized by an externally driven misalignment of sleep and food intake. We investigated the associations between eating patterns, chronotypes, and metabolic health in the early postpartum period in women who had gestational diabetes mellitus (GDM). We prospectively included 313 women who completed their 6-8 weeks postpartum visit between January 2021 and March 2023 at the Lausanne University Hospital. Women filled questionnaires on the timing of food intake, sleep (a shortened Pittsburgh Sleep Quality Questionnaire), and the chronotype (the Morningness-Eveningness Questionnaire) and underwent HbA1c and fasting plasma glucose measurements. After adjustments for weight, sleep quality, or breastfeeding, the later timing of the first and last food intake were associated with higher fasting plasma glucose and HbA1c levels 6-8 weeks postpartum (all p ≤ 0.046). A higher number of breakfasts per week and longer eating durations were associated with lower fasting plasma glucose levels (all p ≤ 0.028). The chronotype was not associated with metabolic health outcomes. Eating patterns, but not the chronotype, were associated with worsened metabolic health in the early postpartum period in women with previous GDM.

The Efficacy and Safety of Sodium-Glucose Co-transporter2 (SGLT2) Inhibitors in Real-World Clinical Practice: Potential Cautionary Use in Elderly Patients with Type2 Diabetes (T2D).

Sodium-glucose co-transporter2 (SGLT2) inhibitors have shown safe and therapeutic efficacy in randomized controlled trials (RCT) to reduce adverse cardiorenal events in high-risk patients with type2 diabetes (T2D). In this study, we investigated the efficacy and safety of SGLT2 intervention in patients with T2D in a real-world clinical practice to confirm the validity of the RCT results. As a retrospective study, we evaluated medical records from 596 patients with T2D treated with SGLT2 inhibitors (dapagliflozin or empagliflozin) in addition to their prior drug regimen to improve glucose control between 2015 and 2019 in the Endocrinology Department at Chungbuk National University Hospital. No control arm was evaluated to compare the effects of adding SGLT inhibitors to the pre-existing regimen. The primary objective was the measurement of glycated hemoglobin (HbA1c) from each individual patient over a 36-month period at 6-month intervals. The secondary parameters were the measurement of fasting plasma glucose (FPG) and body weight (Bwt) changes, as well as the monitoring of adverse events (AEs) and determining the reasons for drug discontinuation. HbA1c levels were reduced at each of the time points throughout the 36-month period and were significantly reduced by 12.5% (P < 0.01) from time0 (8.8 ± 1.3%) to 36months (7.7 ± 1.0%). FPG levels [from basal (180 ± 60mg/dL) to 36months (138 ± 38mg/dL)] and Bwt [from basal (74 ± 15kg) to 36months (72 ± 15kg)] were also significantly reduced (P < 0.01) for both measurements in the SGLT2 inhibitor add-on group. Similar to HbA1c profile, the FPG and Bwt were measured at a consistently lower level at 6months until the end of the study. The most common AEs were hypoglycemia (n = 57), genitourinary infection (GUI) (n = 31), and polyuria (n = 28). In the elderly population (≥ 75years old), AEs (31%) were generally more prevalent (P < 0.001) than those (21%) in the adult (< 75years old) patients. Over the study period, 211 (35%) patients either dropped or completely discontinued the use of the SGLT2 inhibitor, and the elderly patients tended to have a higher discontinuation rate (52%; P = 0.005) than the adults (33%). In this study, we demonstrated that SGLT2 inhibitors are an effective and durable hypoglycemic agent to control blood glucose levels with reduced maintenance of Bwt, but their use in the elderly (≥ 75years old) patients with T2D may warrant some additional caution due to increased probability of AEs and discontinuation of drug use.

Smart Algorithms for Efficient Insulin Therapy Initiation in Individuals With Type 2 Diabetes: An in Silico Study.

Insulin-naive subjects with type 2 diabetes (T2D) start basal insulin titration from a low initial insulin dose (IID), which is adjusted weekly or twice per week based on fasting plasma glucose (FPG) measurement as recommended by the American Diabetes Association (ADA). The procedure to reach the optimal insulin dose (OID) is time-consuming, especially in subjects with high insulin needs (HIN). The aim of this study is to provide a fast and effective, but still safe, insulin titration algorithm in insulin-naive T2D subjects with HIN. To do that, we in silico cloned 300 subjects, matching a real population of insulin-naive T2D and used a logistic regression model to classify them as subjects with HIN or subjects with low insulin needs (LIN). Then, we applied to the subjects with HIN both a more aggressive insulin dose initiation (SMART-IID) and two newly developed titration algorithms (continuous glucose monitoring [CGM]-BASED and SMART-CGM-BASED) in which CGM was used to guide the decision-making process. The new titration algorithm applied to HIN-classified individuals guaranteed a faster reaching of OID, with significant improvements in time in range (TIR) and reduction in time above range (TAR) in the first months of the trial, without any clinically significant increase in the risk of hypoglycemia. Smart basal insulin titration algorithms enable insulin-naive T2D individuals to achieve OID and improve their glycemic control faster than standard guidelines, without jeopardizing patient safety.

Abstract P427: Vitamin D Deficiency and Cardiovascular Disease (CVD) Risk Factors in American Indian Adolescents: The Strong Heart Family Study

Introduction: Vitamin D deficiency (VDD) may be associated with CVD risk factors, such as obesity, diabetes, and dyslipidemia and is amenable to successful interventions through changes in diet and vitamin supplementation. Aims: To describe the prevalence of VDD among American Indian adolescents from SHFS and determine its association with obesity, diabetes, and dyslipidemia incidence in follow-up exams. Methods: We included adolescents (&lt;20 years) from the SHFS, who had serum vitamin D measured on stored samples collected at the baseline examination, 2001-2003 (n=307). We defined VDD as ≤20ng/mL and obesity as baseline Body Mass Index (BMI) ≥95%, follow-up BMI ≥30kg/m 2 , waist-hip-ratio (WHR) ≥0.9 for males, or WHR ≥0.85 for females. Diabetes was defined as measured fasting plasma glucose level ≥126 mg/dL or taking hypoglycemic medication. We defined dyslipidemia as abnormal total cholesterol, LDL-C, HDL-C, non-HDL-C, triglycerides, or taking medication. We used log binomial generalized estimating equations to determine if the prevalence or incidence of obesity, diabetes, or dyslipidemia differed according to VDD, while controlling for age, gender, and center (Arizona, Oklahoma, or Dakotas). Results: VDD prevalence was 50.8% in AI adolescents, and it was associated with the prevalence of BMI≥95%, high WHR, and dyslipidemia. By the first follow-up, 28.8% developed a BMI≥30kg/m 2 , 58.8% developed high WHR, 6.2% developed diabetes, and 62.6% developed dyslipidemia. By the second follow-up, 11.4% developed diabetes. The risk of high WHR (RR=1.28, CI=1.04-1.58, follow-up=5.8 years), and the risk of diabetes (RR=2.32, CI=1.05-5.12, follow-up=13.3 years) was higher in those with baseline VDD while controlling for covariates (Table 1). Conclusions: These data suggest that VDD in adolescence may contribute to the development of high WHR and diabetes later in life, which are strongly associated with CVD. Thus, the results of this analysis may provide a critical step toward reducing or controlling CVD at an early age.

Hyperglycemia and microRNAs in prostate cancer.

Hyperglycemia can promote the development of prostate cancer (PCa). Differential expression levels of miRNAs between PCa patients and controls were also reported. Therefore, we examined the relationship between hyperglycemia and miRNA levels in PCa. Relative expression of urinary miR-574-3p, miR-375, miR-205-5p, miR-200b-3p, miR-187-3p, miR-182-5p, and miR-100-5p were investigated in 105 PCa patients and 138 noncancer controls by Real-Time quantitative PCR. Fasting plasma glucose measurements were retrieved from clinical records. The differential miRNA expressions among groups were compared using non-parametric tests. Correlations with glucose and prostate-specific antigen (PSA) were tested using Pearson correlation coefficient. When we analyzed miRNA expression according to glycemic state, significant down-regulations were found for miR-200b-3p, miR-187-3p, miR-182-5p, and miR-100-5p in noncancer controls with high glucose. The lowest down-regulations were observed for miR-187-3p, miR-182-5p, and miR-100-5p. Subsequently, when hyperglycemia was considered in PCa, significant dysregulations of selected miRNAs were found in hyperglycemic PCa patients than in controls with high glucose. In particular, miR-375 and miR-182-5p showed a 3-FC in hyperglycemic PCa patients than controls who left hyperglycemia untreated. Conversely, only a down-regulation of miR-574-3p was observed in PCa patients regardless of glycemic status and only modest down-regulation of miR-574-3p, miR-200b-3p, miR-187-3p and miR-182-5p were found in normoglycemic PCa patients. Next, significant correlations between miRNAs and glucose (miR-200b-3p, miR-100-5p) and PSA (miR-205-5p and miR-187-3p) were detected in controls. Similarly, miR-205-5p and miR-187-3p were correlated with glucose in PCa patients, while miR-574-3p and miR-375 showed inverse relationships. miRNA dysregulations can occur in hyperglycemic PCa patients as compared to noncancer controls who left hyperglycemia untreated. Hyperglycemia can consistently promote the expression of miR-375 and miR-182-5p. Uncontrolled hyperglycemic state could contribute to the creation of a suitable microenvironment for later PCa development by promoting gene expression.

Management of pasireotide-induced hyperglycemia in patients with acromegaly: An experts' consensus statement.

Pasireotide is a somatostatin analogue for the treatment of acromegaly, a chronic condition caused by excess growth hormone. Despite the therapeutic benefits of pasireotide as a second-line treatment for inadequately controlled acromegaly, a major concern is its hyperglycemic side-effect. Here, we provide guidance on how to select appropriate patients with acromegaly for treatment with pasireotide. We summarize baseline characteristics of patients at high risk for pasireotide-associated hyperglycemia and recommend a monitoring strategy based on the risk profile. Self-monitoring of blood glucose levels (SMBG), measurements of fasting plasma glucose (FPG), postprandial plasma glucose (PPG) and regular HbA1c measurements are the foundation of our proposed monitoring approach. The pathophysiology of pasireotide-induced hyperglycemia involves decreased secretion of the incretin hormones GIP (glucose-dependent insulinotropic polypeptide) and GLP-1 (glucagon-like peptide-1). Our expert recommendations address the specific pathophysiology of pasireotide-induced hyperglycemia by recommending the incretin-based therapeutics dipeptidyl peptidase-4 inhibitors (DPP-4i) and glucagon-like peptide-1 receptor agonists (GLP-1 RA) in all appropriate patients as an alternative to first-line monotherapy with metformin. Furthermore, we emphasize the importance of adequate control of acromegaly, excellent diabetes education, nutrition and lifestyle guidance and advise to consult expert diabetologists in case of uncertainty in the management of patients with hyperglycemia under pasireotide.

Baseline and usual triglyceride-glucose index and the risk of chronic kidney disease: a prospective cohort study

Triglyceride-glucose (TyG) index is an emerging marker of adverse cardiometabolic conditions such as cardiovascular disease and type 2 diabetes. The long-term relevance of TyG index to chronic kidney disease (CKD) is uncertain. We aimed to assess the association of TyG index with CKD risk and its utility in risk prediction in a prospective study. The TyG index was calculated using fasting triglycerides and fasting plasma glucose (FPG) levels measured in 2362 men aged 42–61 years with normal kidney function using the formula: Ln (fasting triglycerides [mg/dL] × FPG [mg/dL]/2). Multivariable adjusted hazard ratios (HRs) (95% confidence intervals, CIs) were estimated for CKD. Correction for within-person variability was made using data from repeat measurements of triglycerides and FPG taken 11 years after baseline. Over a median follow-up duration of 17.5 years, 223 CKD cases were recorded. The age-adjusted regression dilution ratio for the TyG index was 0.54 (95% CI, 0.48–0.60). The risk of CKD increased continuously with increasing TyG index across the range 9.3 to 11.6 (p value for nonlinearity<.001). In analysis adjusted for established risk factors, a unit higher TyG index was associated with an increased risk of CKD (HR 1.59, 95% CI 1.24–2.05). Comparing extreme tertiles of the TyG index, the corresponding adjusted HR (95% CI) for CKD was 1.61 (1.15–2.27). Addition of the TyG index to a CKD risk prediction model containing established risk factors improved risk discrimination and reclassification (p value for difference in −2 log likelihood<.001; NRI=47.66%, p=.014; IDI=0.0164, p<.001). Higher TyG index is associated with an increased risk of CKD and improves the prediction and classification of CKD beyond established risk factors. Using single baseline estimations of the TyG index to investigate its association with CKD risk could considerably under-estimate the true association.

Association between baseline insulin resistance and hospital mortality in moderate-to-severe coronavirus disease 2019 patients without diabetes mellitus: An observational study.

Insulin resistance is often implicated as a risk factor of cell-mediated immune dysfunction in sepsis patients and results in poor clinical outcome. However, it is unclear whether early insulin resistance is contributory to T-cell dysfunction and poor clinical outcome in coronavirus disease 2019 (COVID-19) patients. Adult patients with moderate-to-severe or critically ill COVID-19 infection were included in this study. Serum samples were collected at the time of diagnosis for fasting plasma glucose, serum insulin, serum cortisol, and serum glucagon measurements, and the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) score was calculated. One hundred and twenty-six subjects with a mean (standard deviation) age of 49.6 (16.3) years were recruited in this study, and 62.4% (78 of 125 patients) were male. HOMA-IR was a predictor of inhospital mortality with the area under the receiver operating characteristics curve (AUROC) (95% confidence interval [CI] of 0.61 [0.49-0.73]). With a cutoff value of 1.91, sensitivity was 75.5% and specificity was 45.2%. Higher serum insulin was associated with higher survival with AUROC (95% CI) of 0.65 (0.53-0.76), and the best cutoff was 7.15, with a sensitivity and specificity of 62.1% and 64.5%. Serum cortisol was also a predictor of inhospital mortality with an AUROC (95% CI) of 0.67 (0.56-0.77). An independent association between baseline serum cortisol and poor outcome in moderate-to-severe COVID-19 patients was observed. Hyperglycemia and HOMA-IR can also predict poor outcome in these patients with some accuracy.

Metabolic Biomarkers in Adults with Type 2 Diabetes: The Role of PPAR-γ2 and PPAR-β/δ Polymorphisms.

To determine the relation between PPAR-γ2 rs1801282 (Pro12Ala) and PPAR-β/δ rs2016520 (+294T/C) polymorphisms and metabolic biomarkers in adults with type 2 diabetes (T2D). We included 314 patients with T2D. Information on anthropometric, fasting plasma glucose (FPG), HbA1c and lipid profile measurements was taken from clinical records. Genomic DNA was obtained from peripheral blood. End-point PCR was used for PPAR-γ2 rs1801282, while for PPAR-β/δ rs2016520 the PCR product was digested with Bsl-I enzyme. Data were compared with parametric or non-parametric tests. Multivariate models were used to adjust for covariates and interaction effects. minor allele frequency was 12.42% for PPAR-γ2 rs1801282-G and 13.85% for PPAR-β/δ rs2016520-C. Both polymorphisms were related to waist circumference; they showed independent effects on HbA1c, while they interacted for FPG; carriers of both PPAR minor alleles had the highest values. Interactions between FPG and polymorphisms were identified in their relation to triglyceride level. PPAR-γ2 rs1801282 and PPAR-β/δ rs2016520 polymorphisms are associated with anthropometric, glucose, and lipid metabolism biomarkers in T2D patients. Further research is required on the molecular mechanisms involved.

Sex-specific associations of the difference between 2-hour post-load and fasting plasma glucose with cardiovascular risk in a normoglycemic population

Abstract Background Elevated levels of fasting plasma glucose (FPG) and 2-hour post-load glucose (2hPG) have been established as individual risk factors for cardiovascular disease (CVD), coronary heart disease (CHD), and stroke. However, it is unclear whether the difference between 2hPG and FPG (2hPG-FPG) within normoglycemic influences the cardiovascular risk in women and men. Purpose To investigate the association between 2hPG-FPG and the incidence of CVD, CHD, and stroke among normoglycemic women and men in a large population-based cohort. Methods In this prospective cohort study, a total of 7224 participants with the normoglycemic state (mean age 37±11; women, 57.4%) that had baseline measurements of both FPG and 2hPG values and did not have prior CVD, CHD, or stroke were included and were followed for incidence of outcomes annually until March 2018. The normoglycemic range was defined as FPG&amp;lt; 5.55 and 2 h-PG&amp;lt; 7.77 mmol/L and not taking anti-diabetic medications. CHD was defined as either positive ECG findings and biomarkers, cardiac symptoms accompanied by either positive ECG or biomarker, or angiographic-proven CHD. Stroke was defined based on the WHO criteria. Also, CVD was defined as a composite of CHD and stroke. A Multivariable Cox­-regression model adjusted for age, body mass index, hypertension, hyperlipidemia, FPG, education level, and smoking status was used to assess the association between 2hPG-FPG and incident CVD, CHD, and stroke in women and men. We also used a cumulative incidence curve to illustrate the cumulative sex-specific incidence of CVD, CHD, and stroke during the follow-up time (Figure 1). Results During a median follow-up of 17.9 years (IQR: 13.75-18.46), 487 CVD (174 women), 427 CHD (140 women), and 76 stroke (37 women) events occurred. Among men, 2hPG-FPG was associated with an increased risk of CVD (hazard ratio [HR]:1.11, 95% confidence interval [CI]:1.01-1.22, p=0.03) and CHD (HR:1.11, 95% CI:1.00-1.22, p=0.04 ), but not stroke (HR:1.14, 95% CI:0.88-1.50, p= 0.33). No significant associations among women were found between 2hPG-FPG and the incidence of outcomes, with adjusted HRs of 1.02 (95% CI, 0.88-1.18, p=0.82), 1.00 (0.85-1.17, p=0.99), and 1.10 (0.80-1.52, p=0.54) for incident CVD, CHD, and stroke, respectively (Table 1). Conclusion A greater difference between 2hPG and FPG (2hPG-FPG) within the normoglycemic range was associated with an increased risk for incidence of CVD and CHD in men but not women. Further studies are warranted to explore the potential use of 2hPG-FPG for cardiovascular risk stratification, particularly among those with normal glucose parameters.Association of 2hPG-FPG with CV riskCumulative incidence of CVD, CHD, stroke

Changes in fasting plasma glucose and subclinical atherosclerosis: A cohort study from VIPVIZA trial

Background and aimsStudies on the influence of fasting plasma glucose (FPG) on the development of carotid plaque (CP) and intima media thickness (CIMT) mainly focused on single FPG measures. We investigated whether changes in FPG (ΔFPG) are associated with incident CP and CIMT change (ΔCIMT) over time. MethodsAnalyses were based on information from 1896 participants from the VIPVIZA trial (Visualization of asymptomatic atherosclerotic disease for optimum cardiovascular prevention), with baseline and 3-year follow-up data on FPG, ultrasonographic CP (none or ≥1 lesion/s) and CIMT assessments. We studied the association between baseline FPG (prior to intervention) or 3-year ΔFPG (mmol/L) and incident CP (logistic regression) or ΔCIMT (linear regression). Analyses were adjusted for multiple potential confounders. Results1896 and 873 individuals, respectively, were included in the analysis on incident CP and ΔCIMT. Participants were 60 years old at baseline and 61% and 54% were females, in the CP and CIMT analyses, respectively. Every mmol/L increase in FPG was associated with an increased odds of incident CP (odds ratio: 1.42, 95% confidence interval [CI]: 1.17, 1.73), but there was no association with ΔCIMT (mean difference: 0.002 mm, 95% CI: −0.003, 0.008) after 3 years. Baseline FPG was not associated with incident CP nor ΔCIMT progression. ConclusionsIn middle-aged individuals with low to moderate risk for cardiovascular diseases, 3-year ΔFPG was positively associated with the risk of incident CP, but not with ΔCIMT. Single measures of FPG may not be sufficient in estimating cardiovascular risk among individuals with low to moderate risk.

High sensitivity C-reactive protein and prediabetes progression and regression in middle-aged and older adults: A prospective cohort study.

This study aimed to investigate the effect of systemic inflammation, assessed by high sensitivity C-reactive protein (hs-CRP) levels, on prediabetes progression and regression in middle-aged and older adults based on the China Health and Retirement Longitudinal Study (CHARLS). Participants with prediabetes from CHARLS were followed up 4 years later with blood samples collected for measuring fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c). The level of hs-CRP was assessed at baseline and categorized into tertiles (low, middle, and high groups). Prediabetes at baseline and follow-up was defined primarily according to the American Diabetes Association (ADA) criteria. Logistic regression models were used to estimate the odds ratios (ORs) and confidence intervals (CIs). We also performed stratified analyses according to age, gender, BMI, the presence of hypertension, and the disease history of heart disease and dyslipidemia and sensitivity analyses excluding a subset of participants with incomplete data. Of the 2,874 prediabetes included at baseline, 834 participants remained as having prediabetes, 146 progressed to diabetes, and 1,894 regressed to normoglycemia based on ADA criteria with a 4 year follow-up. After multivariate logistics regression analysis, prediabetes with middle (0.67-1.62 mg/L) and high (>1.62 mg/L) hs-CRP levels had an increased incidence of progressing to diabetes compared with prediabetes with low hs-CRP levels (<0.67 mg/L; OR = 1.846, 95%CI: 1.129-3.018; and OR = 1.632, 95%CI: 0.985-2.703, respectively), and the incidence of regressing to normoglycemia decreased (OR = 0.793, 95%CI: 0.645-0.975; and OR = 0.769, 95%CI: 0.623-0.978, respectively). Stratified analyses and sensitivity analyses showed consistent results. Low levels of hs-CRP are associated with a high incidence of regression from prediabetes to normoglycemia and reduced odds of progression to diabetes.

Effect of Zuo's warming Yang acupuncture therapy combined with lifestyle interventions on prediabetes: A randomized controlled trial

BackgroundAcupuncture has promising effects on diabetes, but there is limited evidence on prediabetes. The purpose of this study was to evaluate the effect and safety of Zuo's warming Yang acupuncture therapy on prediabetic patients. MethodsFifty five individuals with prediabetes were recruited for the study. Participants in the non-acupuncture group received a 12-week lifestyle intervention, while those in the acupuncture group received the same lifestyle intervention in addition to two 50-minute sessions of Zuo's warming Yang acupuncture therapy per week. The primary outcomes measure fasting plasma glucose (FPG), 2-hour postprandial glucose (2hPG), and Glycated hemoglobin determination (HbA1c) after 12 weeks of treatment. ResultsBoth acupuncture group and non-acupuncture group showed significant reductions in FPG and 2hPG levels after treatment, with a statistically significant difference between them (FPG:6.25 ± 0.48 vs 5.73 ± 0.50, P < 0.001; 6.21 ± 0.42 vs 6.04 ± 0.41, P = 0.035; 2hPG:8.90(8.44,9.88) vs 7.95(6.93,8.34), P < 0.001; 9.22 ± 1.15 vs 8.70 ± 1.34, P = 0.046; respectively). In addition, FPG and 2hPG in the acupuncture group decreased more significantly than those in the non-acupuncture group after treatment, and the difference was statistically significant (FPG:5.73 ± 0.50 vs 6.04 ± 0.41, P = 0.014;2hPG:7.95(6.93,8.34) vs 8.70 ± 1.34, P = 0.015; respectively). Although both groups showed reductions in HbA1c, only the decrease in the acupuncture group was statistically significant(5.80(5.60,5.90) vs 5.60(5.40,5.80), P = 0.015). No severe adverse events were reported. ConclusionsZuo's warming Yang acupuncture therapy conjunction with lifestyle interventions was more effective than lifestyle interventions alone in reducing FPG, 2hPG and HbA1c levels in prediabetic patients. These results suggest that Zuo's warming Yang acupuncture therapy may be a safe and effective treatment option for prediabetes.

6-Year trajectory of fasting plasma glucose (FPG) and mortality risk among individuals with normal FPG at baseline: a prospective cohort study

BackgroundHigher fasting plasma glucose (FPG) levels were associated with an increased risk of all-cause mortality; however, the associations between long-term FPG trajectory groups and mortality were unclear, especially among individuals with a normal FPG level at the beginning. The aims of this study were to examine the associations of FPG trajectories with the risk of mortality and identify modifiable lifestyle factors related to these trajectories.MethodsWe enrolled 50,919 individuals aged ≥ 20 years old, who were free of diabetes at baseline, in the prospective MJ cohort. All participants completed at least four FPG measurements within 6 years after enrollment and were followed until December 2011. FPG trajectories were identified by group-based trajectory modeling. We used Cox proportional hazards models to examine the associations of FPG trajectories with mortality, adjusting for age, sex, marital status, education level, occupation, smoking, drinking, physical activity, body mass index, baseline FPG, hypertension, dyslipidemia, cardiovascular disease or stroke, and cancer. Associations between baseline lifestyle factors and FPG trajectories were evaluated using multinomial logistic regression.ResultsWe identified three FPG trajectories as stable (n = 32,481), low-increasing (n = 17,164), and high-increasing (n = 1274). Compared to the stable group, both the low-increasing and high-increasing groups had higher risks of all-cause mortality (hazard ratio (HR) = 1.18 (95% CI 0.99–1.40) and 1.52 (95% CI 1.09–2.13), respectively), especially among those with hypertension. Compared to participants with 0 to 1 healthy lifestyle factor, those with 6 healthy lifestyle factors were more likely to be in the stable group (ORlow-increasing = 0.61, 95% CI 0.51–0.73; ORhigh-increasing = 0.20, 95% CI 0.13–0.32).ConclusionsIndividuals with longitudinally increasing FPG had a higher risk of mortality even if they had a normal FPG at baseline. Adopting healthy lifestyles may prevent individuals from transitioning into increasing trajectories.

Independent and joint associations between the triglyceride-glucose index and NT-proBNP with the risk of adverse cardiovascular events in patients with diabetes and acute coronary syndrome: a prospective cohort study

BackgroundElevated triglyceride-glucose (TyG) index and N-terminal pro-B-type natriuretic peptide (NT-proBNP) are independently associated with increased risk of major adverse cardio-cerebral events (MACCEs) in diabetic patients with the acute coronary syndrome (ACS), but have not been evaluated jointly. We sought to investigate the independent and joint association of the TyG index and NT-proBNP with MACCEs risk.MethodsData from 5046 patients with diabetes and ACS were recorded in the Cardiovascular Center Beijing Friendship Hospital Database Bank between 2013 and 2021, including measurements of fasting triglycerides, plasma glucose, and NT-proBNP. The TyG index was calculated as Ln (fasting triglycerides [mg/dL] × fasting plasma glucose [mg/dL]/2). Associations of the TyG index and NT-proBNP with MACCEs risk were assessed using flexible parametric survival models.ResultsDuring 13589.9 person-years of follow-up, 985 incident MACCEs of the 5046 patients (65.6 years of age and 62.0% men) were observed. Elevated TyG index (HR: 1.18; 95% CI 1.05‒1.32 per 1 unit increase) and NT-proBNP categories (HR: 1.95; 95% CI: 1.50‒2.54 for > 729 pg/ml compared to < 129 pg/ml) were independently associated with MACCEs risk in the fully adjusted model. According to the joint categories of the TyG index and NT-proBNP, patients with the TyG index > 9.336 and NT-proBNP > 729 pg/ml were at the highest risk of MACCEs (HR: 2.45; 95% CI 1.64‒3.65) than the ones with TyG index < 8.746 and NT-proBNP < 129 pg/ml. The test for interaction was not significant (Pinteraction = 0.49). Incorporating these two biomarkers into the established clinical model, the Global Registry of Acute Coronary Events (GRACE) risk score, resulted in a significant improvement in risk stratification.ConclusionsThe TyG index and NT-proBNP were independently and jointly associated with the risk of MACCEs in patients with diabetes and ACS, suggesting that patients with both markers elevated should be aware of the higher risk in the future.

Relationship between thyroid function tests and bioelectrical impedance measurement parameters according to degree of obesity

Aims: This study aimed to investigate the relationship between thyroid function tests and bioelectrical impedance measurement parameters showing body composition in groups of patients with varying degrees of obesity as determined by body mass index (BMI). Methods: A total of 120 people between the ages of 18 and 65 years were enrolled in the study, including 20 individuals with stage 1 obesity, 20 with Stage 2 obesity, 20 with Stage 3 obesity, and 40 with normal body weights. In the collection of data, a case report form prepared by the researcher for gathering information about the participants and the results of blood tests and bioelectrical impedance measurements made with a Tanita device were used. Blood samples were taken from the antecubital vein between 09:00 and 10:00 in the morning after at least 8 hours of fasting. HOMA-IR values were calculated by measuring fasting plasma glucose and insulin. Results: No significant correlation was found between median BMI and TSH, fT3 and fT4 levels in the whole population. While a negative correlation was found between median TSH and BMI in the group with normal body weight (r=-0.430, p=0.006), a positive correlation was found in the Stage 1 obese group (r=0.553, p=0.011). This relationship was not significant in the Stage 2 and morbidly obese groups. There was no significant correlation between BMI and fT4 and fT3 in all groups. A positive correlation was found between fat percentage and TSH (r=0.391, p=0.014) and fT3 (r=0.333, p=0.038) levels in the group with normal body weight, while no correlation was found with T4 levels. Conclusion: No statistically significant differenceswere found in terms of thyroid functions in different obesity classes as determined by BMI. Elevations of thyroid-stimulating hormone in obese patients are thought to be a result of obesity, not the cause.

Associations of obesity-related indices with prediabetes regression to normoglycemia among Chinese middle-aged and older adults: a prospective study.

Prediabetes is associated with increased cardiovascular risk and all-cause mortality, while its regression will decrease the risks. This study investigated the associations of six obesity-related indices (waist-to-height ratio (WHtR), body roundness index (BRI), conicity index (CI), body shape index (ABSI), Chinese visceral adiposity index (CVAI), and triglyceride glucose (TyG) index) with prediabetes regression based on the China Health and Retirement Longitudinal Study (CHARLS), enrolling middle-aged and older adults. We included 2,601 participants with prediabetes from CHARLS, who were followed up from 2011-2012 to 2015-2016, with blood samples collected for measuring fasting plasma glucose and hemoglobin A1c. All the obesity-related indices at baseline and their dynamic changes were calculated and categorized into tertiles. Logistic regression analysis was applied to obtain the odds ratio (OR) and 95% confidence intervals (CIs). Attributable fractions (AFs) and 95% CIs of these indices and the dynamic changes were calculated with the AF package in R software, and the cutoff values of initial obesity-related indices were obtained by the receiver operating characteristic (ROC) analysis. During the 4-year follow-up period, 562 (21.61%) participants regressed from prediabetes to normoglycemia. They had lower initial BRI, WHtR, CI, ABSI, CVAI, and TyG than those who did not (P < 0.05). After multivariable adjustment, participants in the first tertile of initial BRI (OR, 1.45, 95%CIs, 1.09-1.93), WHtR (OR, 1.46, 95%CIs, 1.10-1.95), and CVAI (OR, 1.47, 95%CIs, 1.11-1.93) had increased odds of prediabetes regression compared with those in the highest tertile. Participants with decreased TyG (OR, 2.08; 95%CIs, 1.61-2.70) also had increased odds of prediabetes regression compared with those with increased TyG. The cutoff values of initial obesity-related indices were 4.374 for BRI, 0.568 for WHtR, 8.621 for TyG, 1.320 for CI, 0.083 for ABSI, and 106.152 for CVAI, respectively. The AFs were 21.10% for BRI < 4.374, 20.85% for WHtR < 0.568, 17.48% for CVAI < 107.794, and 17.55% for ΔTyG < 0, respectively. Low initial BRI, WHtR, and CVAI, as well as TyG reduction, were significantly related to prediabetes regression to normoglycemia, and the AFs were around 20%. Less abdominal fat and insulin resistance reduction would benefit future health outcomes among people with prediabetes.

The Association Between Serum 25-hydroxyvitamin D and Glycemic Control in Patients With Diabetes Mellitus: A Single-Center Retrospective Study.

To determine the association between serum 25-hydroxyvitamin D (25(OH)D) and measures of glycemic control, hemoglobin A1c (HbA1c) and fasting plasma glucose (FPG), in adult patients with diabetes mellitus. This is an analytical cross-sectional study of 270 patients with diabetes admitted to a tertiary hospital. Serum 25(OH)D levels were categorized as follows: sufficient (>30 ng/mL), insufficient (20 to 30 ng/mL), and deficient (<20 ng/mL). The correlation of HbA1c and FPG with serum 25(OH)D and other variables was determined using Spearman's rho (ρ) coefficient. The risk factors associated with HbA1c ≥7% and FPG ≥126 mg/dL were determined using logistic regression analysis to generate crude and adjusted odds ratios. The null hypothesis was rejected at 0.05 α-level of significance. The median serum 25(OH)D was 18.92 (range 3.56-56.3) ng/mL. Ninety percent (245 patients) had vitamin D levels below 30 ng/mL. This study showed that vitamin D level is significantly but weakly correlated with patient's age (ρ=0.339) and duration of diabetes (ρ=0.147), whereas it had inverse correlations with BMI (ρ=-0.134), HbA1c (ρ=-0.261), and FPG (ρ=-0.198). In this study, we found a possible association between vitamin D levels and measures of glycemic control among this group of adult Filipino patients with diabetes mellitus, but further investigations in other cohorts of individuals with diabetes are needed.

Prediabetes, Non-Dipping Profile and Hypertension—A Recipe for Increased Arterial Stiffness

Pulse wave velocity (PWV) is a known predictor of target organ damage, cardiovascular disease and overall mortality. The aim of this study was to compare the PWV values in subjects with prediabetes, a non-dipper profile and arterial hypertension with their values in healthy subjects. A total of 301 subjects, aged 40-70 years, without diabetes mellitus were included in this cross-sectional study (150 with prediabetes). They underwent a 24 h ambulatory blood pressure monitoring (ABPM). Subjects were divided into three hypertension groups (A = healthy, B = controlled hypertension, C = uncontrolled hypertension). Dipping status was determined according to ABPM results, and PWV was measured by an oscillometric device. Prediabetes was defined as having 2 separate fasting plasma glucose (FPG) measurements between 5.6 and 6.9 mmol/L. The highest PWV values were found in group C (9.60 ± 1.34 vs. 8.46 ± 1.01 in group B vs. 7.79 ± 1.10 in group A; p < 0.001), in subjects with prediabetes (8.98 ± 1.31 m/s vs. 8.26 ± 1.22 m/s; p < 0.001) and in prediabetic non-dippers among age groups (p = 0.05). In the multivariate regression model age, blood pressure, nocturnal indices and FPG were shown as independent predictors of PWV values. Significantly higher PWV values were found in subjects with prediabetes and non-dipping profiles in all three examined hypertension groups.

Non-altered incretin secretion in women with impaired fasting plasma glucose in the early stage of pregnancy: a case control study

BackgroundsGlucagon-like peptide 1 (GLP-1) and glucose-dependent insulinotropic peptide (GIP) may be involved in pathogenesis of gestational diabetes mellitus (GDM). The aim was to compare GLP-1 and GIP production in fasting state and during 3 h mixed meal tolerance test (MMTT) measured by mean area under the curve (AUC) between pregnant women with normal and impaired fasting glucose in an early phase of pregnancy, and healthy non-pregnant controls.MethodsThis study was undertaken as a case–control study. Repeated measurement of fasting plasma glucose ≥ 5.1 mmol/L and < 7.0 mmol/L during the first trimester of pregnancy and exclusion of overt diabetes according to IADSPG criteria was used to find women with impaired fasting glucose (n = 22). Age-matched controls consisted of healthy pregnant (n = 25) and non-pregnant (n = 24) women. In addition to incretins, anthropometric parameters and markers of insulin resistance and beta-cell function were assessed. Variables were summarized as median (interquartile range).ResultsFasting GLP-1 and GIP concentration or their AUC during MMTT did not significantly differ between pregnant women with impaired fasting plasma glucose [GLP-1AUC 19.0 (53.1) and GIPAUC 302 (100) pg/mL/min] and healthy pregnant women [GLP-1AUC 16.7 (22.3) and GIPAUC 297 (142) pg/mL/min] or non-pregnant controls [GLP-1AUC 16.8 (9.8) and for GIPAUC 313 (98) pg/mL/min]. Although women with impaired fasting glucose were more obese and showed decreased beta-cell function, there were not significant correlations between incretin production and parameters of insulin secretion, insulin resistance, or obesity.ConclusionsWomen with impaired fasting plasma glucose did not show altered incretin production in the first trimester of pregnancy. In contrast to type 2 diabetes, impaired incretin secretion does not seem to play a major role in the early development of GDM.