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The effects of environmental polycyclic aromatic hydrocarbons (PAHs) exposure on glycemic regulation and the underlying genetic mechanism were still unclear. This study aimed to analyze the longitudinal joint effects of PAHs exposure and genetic susceptibility on fasting plasma glucose (FPG) through a longitudinal study. We included 4104 observations (2383 baseline participants and 1721 6-year follow-up participants) from Wuhan-Zhuhai cohort. Ten urinary PAHs metabolites and FPG were measured at both baseline and follow-up. We constructed the polygenic risk scores (PRS) of FPG from the corresponding genome-wide association studies. Linear mixed models were used to explore the associations of urinary PAHs metabolites or FPG-PRS on FPG levels in the repeated-measure analysis. Besides, the longitudinal relationships of urinary PAHs metabolites, FPG-PRS, and their joint effects on FPG change over 6 years were evaluated by linear regression models. Compared with participants with persistent low levels of urinary total PAHs metabolites, hydroxynaphthalene, and hydroxyphenanthrene, participants with persistent high levels had average decreases of 0.180, 0.200, and 0.261 mmol/L for FPG change over 6 years, respectively. Each 1-unit increase of FPG-PRS was associated with a 0.521 mmol/L for FPG change over 6 years. Besides, compared with participants with high FPG-PRS and persistent low levels of urinary total hydroxynaphthalene, hydroxyfluorene, and hydroxyphenanthrene, participants with low FPG-PRS and persistent high levels had average decreases of 0.330, 0.557, and 0.421 mmol/L for FPG change over 6 years. Our findings demonstrated that high-level PAHs exposure was longitudinally associated with an average decrease of FPG over 6 years, and low FPG genetic risk can enhance the above associations. Our findings emphasized the hypoglycemic effect of PAHs exposure, shed new light on the complex effects between PAHs exposure and genetic factors in the prevention of high FPG, and might provide some clues for the development of potential hypoglycemic agents.
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Background: The triglyceride-glucose (TyG) index, recognized for its cost-efficiency and simplicity, serves as an accessible indicator of insulin resistance. Yet, its correlation with the risk of prediabetes and diabetes (Pre-DM/DM) in the Chinese demographic remains uncertain. Consequently, our study explored the association between the TyG index and the development of Pre-DM/DM within the Chinese population. Methods: The retrospective cohort study was carried out utilizing data from a health screening initiative. The study included 179541 adults over 20 who underwent medical examinations at the Rich Healthcare Group over a period spanning from 2010 to 2016. The correlation between the TyG index and Pre-DM/DM risk was investigated using Cox regression analysis. Furthermore, Cox proportional hazards regression with cubic spline functions and smooth curve fitting was incorporated to explore their non-linear connection. Results: The mean age of study participants was 41.18 ± 12.20 years old, and 95255 (53.05%) were male. During a median follow-up of 3.01 years, 21281 (11.85%) participants were diagnosed with Pre-DM/DM. After adjusting the potential confounding factors, the results showed that the TyG index was positively correlated with incident Pre-DM/DM (HR: 1.67, 95%CI: 1.62-1.71, P< 0.001). Additionally, a non-linear association was observed between the TyG index and the onset of Pre-DM/DM, with an inflection point identified at 8.73. Hazard ratios (HR) to the left and right of this inflection point were 1.95 (95%CI: 1.86-2.04) and 1.34 (95%CI: 1.27-1.42), respectively. Furthermore, sensitivity analyses confirmed the stability of these findings. Conclusion: The TyG index exhibited a non-linear positive relationship with the risk of Pre-DM/DM. These findings imply that maintaining the TyG index at a lower, specified threshold may be beneficial in mitigating the onset of Pre-DM/DM.
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Glucemia , Estado Prediabético , Triglicéridos , Humanos , Estado Prediabético/sangre , Estado Prediabético/epidemiología , Estado Prediabético/diagnóstico , Masculino , Estudios Retrospectivos , Femenino , Triglicéridos/sangre , Adulto , Glucemia/análisis , Persona de Mediana Edad , Factores de Riesgo , China/epidemiología , Diabetes Mellitus/epidemiología , Diabetes Mellitus/sangre , Resistencia a la Insulina , Estudios de Cohortes , Estudios de Seguimiento , Diabetes Mellitus Tipo 2/sangre , Diabetes Mellitus Tipo 2/epidemiologíaRESUMEN
CONTEXT: 1-hour post-load glucose (1h-PG) detects dysglycemia-related disorders more effectively than traditional glycemic parameters. Hyperglycemia accelerates aging, whether 1h-PG outperforms in predicting aging remains unclear. OBJECTIVE: To Compare the effectiveness of 1h-PG with other glycemic parameters in identifying and predicting telomere attrition. METHODS: We conducted a cross-sectional and longitudinal study based on a Chinese community cohort. Multivariate linear regression and logistic regression were used to analyze the associations between glycemic parameters and telomere length. The area under the receiver operating characteristic (AUROC) curve were used to compare the differentiating and predictive ability. Populations were regrouped by glucose tolerance status and 1h-PG to compare telomere length. Analyses were separately conducted in non-diabetic and diabetic populations. RESULTS: The cross-sectional study included 715 participants. Only 1h-PG was significantly negatively associated with RTL in both non-diabetic (ß = -0.106, 95%CI -0.068 to -0.007, P = 0.017) (odds ratio [OR] = 1.151, 95% CI 1.069 to 1.239, P = 0.005) and diabetic (ß = -0.222, 95%CI -0.032 to -0.007, P = 0.002) (OR = 1.144, 95% CI 1.041 to 1.258, P = 0.035) populations. The longitudinal study recruited 437 populations and 112 remained in 7-years follow-up. 1h-PG was associated with telomere shortening in the non-diabetic group (ß = -0.314, 95%CI -0.276 to -0.032, P = 0.016) (OR = 2.659, 95% CI 1.158 to 6.274, P = 0.021). AUROC analysis showed that 1h-PG outperformed other glycemic parameters in identifying and predicting telomere attrition. Reclassification revealed that normal glucose tolerance and prediabetic individuals with elevated 1h-PG had telomere lengths comparable to prediabetic and diabetic populations, respectively. CONCLUSIONS: 1h-PG outperforms other glycemic parameters in predicting telomere attrition and can be a valuable marker for early aging detection.
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BACKGROUND: There is a lack of evidence regarding the trajectories of type 2 diabetes until the first clinic visit, including the untreated period after diagnosis. OBJECTIVE: We aimed to determine the real-world history of type 2 diabetes until the first clinic visit, including the untreated duration, and to assess the effective timing of the therapeutic intervention. METHODS: A total of 23,622 nondiabetic Japanese workers with a mean (SD) age of 38.8 (11.5) years were retrospectively followed from 2008 to 2022 for annual health checkups. The trajectories of glycated hemoglobin (HbA1c), fasting plasma glucose (FPG), and body mass index (BMI) until the first clinic visit in diabetes individuals were determined. ROC analysis was performed to assess the contribution of each measure to the first visit. RESULTS: During a median follow-up of 12.0 years, 1,725 individuals developed type 2 diabetes, of whom 532 individuals visited clinics. HbA1c and FPG trajectories steeply rose in the year before the first clinic visit after their progressive upward trends. ROC analysis showed cutoff values for each measure. As the untreated duration increased, glycemia increased and BMI decreased among individuals who visited clinics. CONCLUSIONS: To prevent the initial worsening of diabetes, early therapeutic intervention is necessary during the increasing trends before the steep rise in glycemia, regardless of the degree of obesity. HbA1c ≥6.5% (47.5 mmol/mol) and an HbA1c ≥0.2% (2.2 mmol/mol)/year increase may be an effective timing for therapeutic intervention.
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BACKGROUND/OBJECTIVES: Traditional glycemic monitoring in type 2 diabetes is limited, whereas continuous glucose monitoring (CGM) offers better insights into glucose fluctuations. This study aimed to determine the correlations and relative contributions of fasting plasma glucose (FPG) and postprandial plasma glucose (PPG) levels to hyperglycemia. METHODS: We utilized CGM and recorded carbohydrate intake data from lifestyle diaries of 59 patients enrolled in the Diabetes and Lifestyle Cohort Twente (DIALECT-2). Correlations between FPG and the glucose management indicator (GMI), FPG and Time Above Range (TAR), PPG and GMI, and PPG and TAR were conducted. Daily and mealtime relative contributions of PPG and FPG to glycated hemoglobin (HbA1c) and GMI were determined, considering two ranges: on target (<7.0%, 53 mmol/mol) and not on target (≥7.0%, 53 mmol/mol). Correlations between mealtime PPG and carbohydrate consumption were examined. RESULTS: FPG and PPG correlated with GMI (r = 0.82 and 0.41, respectively, p < 0.05). The relative contribution of PPG in patients with HbA1c, GMI, and TAR values not on target was lower than in patients with HbA1c, GMI, and TAR values on target. When analyzing different mealtimes, patients with target GMI values had a higher PPG (73 ± 21%) than FPG after breakfast (27 ± 21%, p < 0.001). Individuals with elevated GMI levels had lower PPG after lunch (30 ± 20%), dinner (36 ± 23%), and snacks (34 ± 23%) than FPG. PPG after breakfast positively correlated (r = 0.41, p < 0.01) with breakfast carbohydrate intake. CONCLUSIONS: Both PPG and FPG contribute to hyperglycemia, with PPG playing a larger role in patients with better glycemic control, especially after breakfast. Targeting PPG may be crucial for optimizing glucose management.
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Automonitorización de la Glucosa Sanguínea , Glucemia , Diabetes Mellitus Tipo 2 , Hemoglobina Glucada , Hiperglucemia , Periodo Posprandial , Humanos , Diabetes Mellitus Tipo 2/sangre , Glucemia/metabolismo , Glucemia/análisis , Masculino , Femenino , Hiperglucemia/sangre , Persona de Mediana Edad , Anciano , Hemoglobina Glucada/análisis , Hemoglobina Glucada/metabolismo , Estudios de Cohortes , Ayuno/sangre , Carbohidratos de la Dieta/administración & dosificación , Comidas , Monitoreo Continuo de GlucosaRESUMEN
Thermal treatment of food may undergo Maillard reactions and produce harmful substances, e.g., advanced glycation end products (AGEs). Current studies show different results about the effects of dietary AGE intake on the biomarkers of type 2 diabetes mellitus (T2DM). Therefore, this work conducted a systematic review and meta-analysis to explore the effect of dietary AGE intake on the biomarkers of T2DM, the available evidence, and the bias of this evidence. This meta-analysis focused on the association between high AGE intake and fasting plasma glucose, fasting plasma insulin, HbA1c, and HOMA-IR. Thirteen parallel studies and 4 randomized crossover studies were finally included. In the pooled analysis, fasting glucose (SMD: 0.98; 95% CI: 0.23, 1.73; p = .011), fasting insulin (SMD: 1.44; 95% CI: 0.63, 2.25; p < .01), and HOMA-IR (SMD: 1.47; 95% CI: 0.59, 2.34; p < .01) significantly increased after dietary intake with high AGEs. In the subgroup analyses, high-AGE diets and healthy participants were associated with changes in the biomarkers of T2DM. Taken together, the intake of high dietary AGE was related to the development of T2DM.
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BACKGROUND: It remains unclear which early gestational biomarkers can be used in predicting later development of gestational diabetes mellitus (GDM). We sought to identify the optimal combination of early gestational biomarkers in predicting GDM in machine learning (ML) models. METHODS: This was a nested case-control study including 100 pairs of GDM and euglycemic (control) pregnancies in the Early Life Plan cohort in Shanghai, China. High sensitivity C reactive protein, sex hormone binding globulin, insulin-like growth factor I, IGF binding protein 2 (IGFBP-2), total and high molecular weight adiponectin and glycosylated fibronectin concentrations were measured in serum samples at 11-14 weeks of gestation. Routine first-trimester blood test biomarkers included fasting plasma glucose (FPG), serum lipids and thyroid hormones. Five ML models [stepwise logistic regression, least absolute shrinkage and selection operator (LASSO), random forest, support vector machine and k-nearest neighbor] were employed to predict GDM. The study subjects were randomly split into two sets for model development (training set, n = 70 GDM/control pairs) and validation (testing set: n = 30 GDM/control pairs). Model performance was evaluated by the area under the curve (AUC) in receiver operating characteristics. RESULTS: FPG and IGFBP-2 were consistently selected as predictors of GDM in all ML models. The random forest model including FPG and IGFBP-2 performed the best (AUC 0.80, accuracy 0.72, sensitivity 0.87, specificity 0.57). Adding more predictors did not improve the discriminant power. CONCLUSION: The combination of FPG and IGFBP-2 at early gestation (11-14 weeks) could predict later development of GDM with moderate discriminant power. Further validation studies are warranted to assess the utility of this simple combination model in other independent cohorts.
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Biomarcadores , Diabetes Gestacional , Aprendizaje Automático , Primer Trimestre del Embarazo , Humanos , Diabetes Gestacional/sangre , Diabetes Gestacional/diagnóstico , Femenino , Embarazo , Estudios de Casos y Controles , Biomarcadores/sangre , Adulto , Primer Trimestre del Embarazo/sangre , China/epidemiología , Proteína 2 de Unión a Factor de Crecimiento Similar a la Insulina/sangre , Globulina de Unión a Hormona Sexual/análisis , Proteína C-Reactiva/análisis , Factor I del Crecimiento Similar a la Insulina/análisis , Factor I del Crecimiento Similar a la Insulina/metabolismo , Fibronectinas/sangre , Adiponectina/sangre , Glucemia/análisis , Valor Predictivo de las Pruebas , Curva ROC , Modelos LogísticosRESUMEN
OBJECTIVE: Lack of accessibility to oral glucose tolerance tests (OGTTs) in South Africa means many pregnant women go without testing for gestational diabetes mellitus (GDM). This study evaluated point-of-care (POC) glucometers against the laboratory-based glucose method in pregnant women. METHODS: This was a cross-sectional study on pregnant women attending the prenatal clinic in Johannesburg who were recommended for the OGTT. OGTTs were conducted as per International Association of Diabetes and Pregnancy Study Groups (IADPSG) guidelines. Women who consented to the study donated both venous and capillary blood for laboratory-based and POC glucose measurements using seven POC glucometers: I-STAT, Xpress, LDX, VivaChek-Ino, Accu-Chek Active, StatStrip, and Codefree. By assessing sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) and comparing Bland-Altman plots, the diagnostic accuracy of each glucose meter was compared with the reference method, the laboratory-based glucose method. RESULTS: Data were analyzed for 1076 pregnant women. Based on OGTT testing, 83 women had GDM (7.7%). Overall, the POC glucometers performed poorly, with sensitivity ranging from 17.6% to 87.18% and specificity ranging between 62.7% and 99.8%. The AUC ranged from 0.59 to 0.79. All POC glucometers showed moderate to poor reliability. Laboratory-based fasting plasma glucose (FPG) surpassed the POC glucometers in sensitivity, specificity, and AUC, with values of 94.0%, 100%, and 0.98, respectively. CONCLUSION: We demonstrated that laboratory-based FPG has the potential to be used as a diagnostic test for GDM and that the POC glucometers cannot replace OGTT laboratory-based measurements.
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Metabolic dysfunction-associated steatotic liver disease (MASLD) brings heavy clinical and economic burdens to patients worldwide. High fasting plasma glucose (HFPG) was proven to be an important modifiable risk factor. However, the global burden distribution of HFPG-attributable MASLD has not been fully studied. This study aimed to describe the epidemiological distribution and trends of the burden of HFPG-attributable MASLD worldwide. The data source was the 2021 Global Burden of Disease Study. Descriptive statistics were mainly conducted using disability-adjusted life years (DALYs) and deaths of HFPG-attributable MASLD from 1990 to 2021, as well as their age-standardized rates (ASRs) and population-attributable fractions. Subgroup analyses were conducted by region, age group, and sex. We found that 213.48 thousand DALYs and 10.02 thousand deaths in MASLD were attributable to HFPG worldwide in 2021, with an increase of 2.96 and 3.32 times compared with 1990, respectively. Over the past 32 years, age-standardized DALY rates (ASDRs) have fluctuated upward, reaching 2.45 per 100,000 people in 2021, with an increase of 81.21%. The ASDRs continued to rise in low, low-middle, and high social demographic index (SDI) regions, fluctuated upward at high levels in middle SDI regions, and were relatively low in high-middle SDI regions. People aged 50-69 accounted for the largest proportion of DALYs, while people over 70 had the largest increase of 3.73 times. Men had higher ASDRs, and the sex difference has been gradually expanding over the past 32 years, peaking at the age of 45-49. In conclusion, the burden of HFPG-attributable MASLD has continued to increase globally, with differences in geographical area, age, and sex distribution. HFPG, as a modifiable risk factor, should be given more importance. The implementation of targeted health intervention strategies is recommended for each country based on trends in the burden of HFPG-attributable MASLD.
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Glucemia , Carga Global de Enfermedades , Humanos , Masculino , Femenino , Persona de Mediana Edad , Anciano , Adulto , Glucemia/metabolismo , Glucemia/análisis , Factores de Riesgo , Ayuno/sangre , Adolescente , Adulto Joven , Años de Vida Ajustados por Discapacidad , Anciano de 80 o más Años , Niño , Preescolar , Salud Global , Hígado Graso/epidemiologíaRESUMEN
AIMS: To assess the risk of difference between 2 h post-load plasma glucose (2 h-PG) and fasting plasma glucose (FPG) on incident prediabetes/type 2 diabetes (T2DM) among normoglycemic individuals. METHODS: Among 4,971 individuals aged ≥20 years, the associations of the difference between 2 h-PG and FPG with outcomes were examined using multivariable-adjusted Cox regression analysis. Participants were categorized into three groups: a low post-load group (2 h-PG ≤ FPG, as the reference group); a high post-load group (2 h-PG > FPG and ≥75th percentile of the difference); and a medium post-load group (2 h-PG > FPG and <75th percentile of the difference), which was further categorized into three groups by equal ranges. RESULTS: Over a median of 11.5 years of follow-up, 2,331 new cases of prediabetes/type 2 diabetes and 360 cases of type 2 diabetes occurred. Greater risks of incident prediabetes/type 2 diabetes in second (9-16 mg/dL) and third (17-24 mg/dL) medium post-load, as well as high post-load (≥25 mg/dL) categories, were found, with hazard ratios (95% confidence intervals) of 1.26 (1.11-1.44), 1.32 (1.15-1.51), and 1.69 (1.51-1.90), respectively; the issue was more prominent among women (P for interaction = 0.005). The risk of incident type 2 diabetes was also higher for these categories. After further adjustment for the homeostasis model assessment of insulin resistance, result remained essentially unchanged. Even among individuals with low normal FPG (i.e., <90 mg/dL), ≥9 mg/dL difference between 2 h-PG and FPG increased the risk of composite prediabetes/ type 2 diabetes. CONCLUSIONS: Greater levels of 2 h-PG as low as 9 mg/dL than FPG among normoglycemic individuals is a harbinger of prediabetes/type 2 diabetes development.
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Cardiometabolic risk factors, including high fasting plasma glucose (hFPG), are emerging prognostic determinants in patients with coronary artery disease (CAD) or heart failure (HF). Coronary microvascular dysfunction might be a comprehensive risk predictor in these patients. The purpose of this study was to assess whether hFPG and global myocardial blood flow (MBF) reserve measured by positron emission tomography (PET), expressing global coronary function, predict long-term prognosis beyond other risk factors and presence of obstructive CAD or left ventricular (LV) dysfunction associated with HF. We retrospectively collected long-term follow-up data in 103 patients (mean age 61 ± 10 years, 74 males) with stable chest pain or dyspnoea who underwent cardiac PET/computerized tomography and coronary angiography. Disease phenotypes included obstructive CAD (35%), LV dysfunction without obstructive CAD (43%), or none (22%). At multivariable logistic regression analysis, MBF reserve lower than the median value (OR 1.8, 95% CI 1.5-2.2) was significantly associated with male gender (OR 3.45, 95% CI 1.21-9.83) and hFPG (OR 3.87, 95% CI 1.17-12.84) among all risk factors. In a median follow-up of 10.9 years (interquartile range 7.8-13.9), 39 patients (37.8%) died (13.6% cardiac death). At multivariable Cox analyses including all risk factors and disease phenotypes, age (HR 1.07, 95% CI 1.02-1.12), hFPG (HR 2.18, 95% CI 1.02-4.63), and depressed MBF reserve (HR 4.47, 95% CI 1.96-10.18) were independent predictors of death (global χ 2 37.41, P = 0.0004). These results suggest a strong long-term prognostic role of hFPG and depressed MBF reserve in a high-risk population of patients with a high prevalence of obstructive CAD or HF.
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CONTEXT: With rising the prevalence of type 2 diabetes mellitus (T2DM) and prediabetes, the importance of 1-hour post-load plasma glucose (1-h PG) for early hyperglycemia screening is emphasized. OBJECTIVE: This study investigates the utility of 1-h PG in predicting T2DM in adults with normal fasting plasma glucose (FPG) levels. METHODS: 7,504 participants were categorized into three groups: normal glucose tolerance (NGT) with 1-h PG < 155 mg/dL, NGT with 1-h PG ≥ 155 mg/dL, and impaired glucose tolerance (IGT). Insulin sensitivity and secretion indices were compared between groups at baseline, and T2DM incidence was analyzed using Cox proportional hazards models. The predictive abilities of 1-h PG and 2-hour post-load plasma glucose (2-h PG) were assessed with receiver operating characteristic analysis. RESULTS: At baseline, the composite insulin sensitivity index in the NGT & 1-h PG ≥ 155 mg/dL group was similarly reduced as in the IGT group (P = .076). Over a mean follow-up of 7.4 years, T2DM developed in 960 patients (12.8%). The highest risk was in the IGT group (hazard ratio [HR] 5.47), followed by the NGT & 1-h PG ≥ 155 mg/dL group (HR 2.74), compared to the NGT & 1-h PG < 155 mg/dL group. The 1-h PG level had a higher area under the curve (0.772) than other glycemic parameters, including 2-h PG. CONCLUSION: Even with normal FPG, a 1-h PG ≥ 155 mg/dL indicates lower insulin sensitivity similar to IGT and increased T2DM risk, making it a more effective early screening tool than 2-h PG.
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OBJECTIVE: We aimed to evaluate the heterogeneity of gestational diabetes mellitus (GDM) patients diagnosed with various screening criteria. METHODS: We stratified pregnant women using consecutive fasting plasma glucose (FPG) and 2-hour postprandial plasma glucose (2hPPG) intervals of 0.2 mmol/L. The incidence of abnormal neonatal birthweight and birth-related adverse outcomes was compared with that of pregnant women without GDM. RESULTS: The study included 39,988 pregnant women (18-45 years, mean [SD], 31.5 [4.7] years) in Ningbo, China. The means (SDs) of FPG and 2hPPG within 24-28 weeks of gestation were 4.5 (0.5) and 6.8 (1.3) mmol/L, respectively. A total of 3025 (7.6%) women had 5.1-6.9 mmol/L FPG and 4560 (11.4%) had 8.5-11.0 mmol/L 2hPPG. The incidence of GDM according to the two combination criteria was 17.3% (6908 cases). The relative risk (RR) for < 10th percentile birthweight (< 10th WT) was 0.82 (95% CI, 0.74-0.91, p < 0.001) by 5.1 mmol/L FPG criterion and 1.14 (95% CI, 1.06-1.23, p < 0.001) by 8.5 mmol/L 2hPPG criterion, while the RRs for > 90th percentile birthweight (> 90th WT) were 1.48 (95% CI, 1.35-1.63, p < 0.001) and 0.95 (95% CI, 0.86-1.04, p = 0.29) according to the corresponding criteria. The FPG criterion was more strongly associated with maternal hypertension than the 2hPPG criterion. Both criteria did not show a distinct association with other composite adverse outcomes. CONCLUSION: High FPG is significantly associated with high birth weight, whereas high 2hPPG is slightly associated with low birth weight. Our findings highlight the heterogeneity of patients with GDM diagnosed by different criteria.
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Peso al Nacer , Glucemia , Diabetes Gestacional , Ayuno , Periodo Posprandial , Humanos , Femenino , Diabetes Gestacional/sangre , Diabetes Gestacional/epidemiología , Diabetes Gestacional/diagnóstico , Embarazo , Adulto , Ayuno/sangre , Glucemia/análisis , China/epidemiología , Adulto Joven , Adolescente , Resultado del Embarazo/epidemiología , Recién Nacido , Prueba de Tolerancia a la Glucosa , Persona de Mediana Edad , IncidenciaRESUMEN
Rationale & Objectives: Hyperglycemia is frequently observed early after transplantation and associated with development of post-transplant diabetes mellitus (PTDM). Here, we assessed continuous subcutaneous insulin infusion (CSII) targeting afternoon hyperglycemia. Study Design: Open-label randomized parallel 3-arm design. Settings & Participants: In total, 85 kidney transplant recipients without previous diabetes diagnosis were randomized to postoperative CSII therapy, basal insulin, or control. Interventions: Insulin was to be initiated at afternoon capillary blood glucose level of ≥140 mg/dL (7.8 mmol/L; CSII and basal insulin) or fasting plasma glucose level of ≥200 mg/dL (11.1 mmol/L; control). Outcomes: Hemoglobin A1c (HbA1c) levels at 3 months post-transplant (primary endpoint). PTDM assessed using oral glucose tolerance test at 12 and 24 months. Results: CSII therapy lasted until median day 18 and maximum day 88. The median HbA1c value at month 3 was 5.6% (38 mmol/mol) in the CSII group versus 5.7% (39 mmol/mol) in the control group (P = 0.70) and 5.4% (36 mmol/mol) in the basal insulin group (P = 0.02). At months 12 and 24, the odds for PTDM were similar compared with the control group (odds ratios [95% confidence intervals], 0.80 [0.18-3.49] and 0.71 [0.15-3.16], respectively) and the basal insulin group (0.96 [0.18-5.68] and 1.51 [0.24-12.84], respectively). Mild hypoglycemia events occurred in the CSII and the basal insulin groups. Limitations: This study is limited by outdated insulin pump technology, frequent discontinuations of CSII, a complex protocol, and concerns regarding reliability of HbA1c measurements. Conclusions: CSII therapy was not superior at reducing HbA1c levels at month 3 or PTDM prevalence at months 12 and 24 compared with the control or basal insulin group.
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An increasing number of studies have reported the close relation of the hemoglobin glycation index (HGI) with metabolism, inflammation, and disease prognosis. However, the prognostic relationship between the HGI and patients with sepsis remains unclear. Thus, this study aimed to analyze the association between the HGI and all-cause mortality in patients with sepsis using data from the MIMIC-IV database. In this study, 2605 patients with sepsis were retrospectively analyzed. The linear regression equation was established by incorporating glycated hemoglobin (HbA1c) and fasting plasma glucose levels. Subsequently, the HGI was calculated based on the difference between the predicted and observed HbA1c levels. Furthermore, the HGI was divided into the following three groups using X-tile software: Q1 (HGI ≤ - 0.50%), Q2 (- 0.49% ≤ HGI ≤ 1.18%), and Q3 (HGI ≥ 1.19%). Kaplan-Meier survival curves were further plotted to analyze the differences in 28-day and 365-day mortality among patients with sepsis patients in these HGI groups. Multivariate corrected Cox proportional risk model and restricted cubic spline (RCS) were used. Lastly, mediation analysis was performed to assess the factors through which HGI affects sepsis prognosis. This study included 2605 patients with sepsis, and the 28-day and 365-day mortality rates were 19.7% and 38.9%, respectively. The Q3 group had the highest mortality risk at 28 days (HR = 2.55, 95% CI: 1.89-3.44, p < 0.001) and 365 days (HR = 1.59, 95% CI: 1.29-1.97, p < 0.001). In the fully adjusted multivariate Cox proportional hazards model, patients in the Q3 group still displayed the highest mortality rates at 28 days (HR = 2.02, 95% CI: 1.45-2.80, p < 0.001) and 365 days (HR = 1.28, 95% CI: 1.08-1.56, p < 0.001). The RCS analysis revealed that HGI was positively associated with adverse clinical outcomes. Finally, the mediation effect analysis demonstrated that the HGI might influence patient survival prognosis via multiple indicators related to the SOFA and SAPS II scores. There was a significant association between HGI and all-cause mortality in patients with sepsis, and patients with higher HGI values had a higher risk of death. Therefore, HGI can be used as a potential indicator to assess the prognostic risk of death in patients with sepsis.
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Hemoglobina Glucada , Sepsis , Humanos , Sepsis/mortalidad , Sepsis/sangre , Femenino , Masculino , Persona de Mediana Edad , Estudios Retrospectivos , Pronóstico , Anciano , Hemoglobina Glucada/análisis , Estimación de Kaplan-Meier , Glucemia/análisis , Modelos de Riesgos Proporcionales , Análisis de Supervivencia , Anciano de 80 o más AñosRESUMEN
Background: Currently ischemic stroke poses a serious disease burden globally, and high fasting plasma glucose is one of the important risk factors. The aim of this study was to investigate the disease burden of ischemic stroke due to fasting glucose during 1990-2019 in China, to estimate the effect of age, period, and cohort on the trend of ischemic stroke disease burden, and to predict the disease burden of ischemic stroke in 2020-2030. Methods: Ischemic stroke burden data were obtained by screening from the Global Burden of Disease Study 2019 (GBD 2019) database for high-risk populations in China. Annual average percentage change (AAPC) was calculated using the Joinpoint regression model to assess the trend of ischemic stroke burden between 1990 and 2019. Age-period-cohort models were introduced to estimate the independent effects of age, period, and cohort on ischemic stroke burden, and to predict the ischemic stroke burden in 2020-2030 based on Bayesian age-period-cohort models. Results: From 1990 to 2019, the number of ischemic stroke deaths due to high fasting plasma glucose in China continued to increase with an AAPC of 3.61. Trends in age-standardized incidence rates did not show statistical significance. In the age-period-cohort analysis, the age effect of ischemic stroke burden showed a continuously increasing trend over the study period. The period effect showed an overall favorable trend over the study period. The overall and cohort effects for males showed an overall increasing trend, whereas the cohort effect for females showed a decreasing trend after a decreasing trend for the 1945 birth cohort. Conclusions: This study found that ischemic stroke due to high fasting plasma glucose in China has generally fluctuated between 1990 and 2019, with a decreasing trend in recent years, and projections also suggest that it will continue to show a decreasing trend in the future. Age and period of birth were the main elements influencing the burden of disease, especially among the elderly and men. Policies should be used to promote the prevention of known risk factors and to strengthen health management for key populations.
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Glucemia , Ayuno , Carga Global de Enfermedades , Accidente Cerebrovascular Isquémico , Humanos , China/epidemiología , Masculino , Persona de Mediana Edad , Glucemia/análisis , Glucemia/metabolismo , Femenino , Ayuno/sangre , Anciano , Accidente Cerebrovascular Isquémico/epidemiología , Accidente Cerebrovascular Isquémico/sangre , Adulto , Factores de Riesgo , Carga Global de Enfermedades/tendencias , Incidencia , Estudios de Cohortes , Anciano de 80 o más Años , Adulto JovenRESUMEN
BACKGROUND: In the context of rheumatoid arthritis and its systemic inflammatory implications, there is an increasing interest in investigating the role of prolactin in the clinical and metabolic aspects of the disease. This study aimed to explore the potential links between serum prolactin levels, serum glucose levels, and the clinical manifestations of arthritis. METHODS: This exploratory, cross-sectional, observational study focused on women diagnosed with rheumatoid arthritis. The research involved assessing prolactin and blood glucose concentrations, alongside specific clinical traits such as disease-related inflammation, morning stiffness, and fatigue intensity. The presence of changes in serum prolactin (PRL) was initially compared among the groups based on disease activity intensity. Using a multinomial regression analysis, the study analyzed the impact of predetermined clinical and metabolic factors on various categories of prolactin concentration. RESULTS: Out of the 72 participants included in the study, hyperprolactinemia was detected in 9.1% of the sample. No differences in serum PRL were identified among the evaluated groups based on disease activity. Following multivariate analysis, no statistically significant differences were identified for the outcomes of inflammatory activity and morning stiffness within each PRL category when compared to the reference category for PRL. There was no increased likelihood of encountering blood glucose levels below 100 mg/dl among individuals with higher prolactin concentrations compared to those in the lowest prolactin category (OR 5.43, 95% CI 0.51-58.28). The presence of clinically significant fatigue revealed a higher likelihood of encountering this outcome among patients with intermediate PRL values (prolactin categories 7.76-10.35 with OR 5.18, 95% CI 1.01-26.38 and 10.36-15.29 with OR 6.25, 95% CI 1.2-32.51) when compared to the reference category. CONCLUSIONS: The study found no discernible correlation between prolactin concentrations and worse scores for inflammatory activity of the disease, nor between prolactin concentrations and serum glucose levels. The findings regarding fatigue should be approached with caution given the exploratory nature of this study.
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Artritis Reumatoide , Glucemia , Hiperprolactinemia , Prolactina , Humanos , Prolactina/sangre , Artritis Reumatoide/sangre , Femenino , Estudios Transversales , Glucemia/análisis , Persona de Mediana Edad , Hiperprolactinemia/sangre , Adulto , Índice de Severidad de la Enfermedad , Fatiga/sangre , Fatiga/etiologíaRESUMEN
Introduction: Waist circumference (WC) and fasting plasma glucose (FPG) have been demonstrated as risk factors for type 2 diabetes mellitus (T2DM). Evidence is limited regarding the association of the combination of WC and FPG (WyG) with the risk of T2DM. The primary aim of the study was to investigate the relationship between WyG and T2DM. Research design and methods: The current study was a population-based cohort study using data from the NAGALA database. Participants were divided into tertiles based on WyG. Cox proportional hazard regression model was applied to identify the association of WyG with T2DM. Results: During a median follow-up of 6.19 years in the normoglycemia group and 5.58 years in the prediabetes group, respectively, 88 and 285 individuals in the two groups received a diagnosis of T2DM. After full adjustment, risk of T2DM increased in step-wise fashion with increasing tertiles of WyG. For a per-SD increase in WyG, the hazard ratios for T2DM were 3.05 (95% CI 2.64 - 3.51) in all populations, 1.94 (95% CI 1.46 - 2.58) in the normoglycemia group and 1.63 (95% CI 1.40 - 1.90) in the prediabetes group. The interaction between WyG and fatty liver on T2DM was statistically significant in the prediabetes group (P for interaction = 0.034). Conclusions: Elevated WyG was independently associated with incident T2DM in Japan. Baseline WyG help identify individuals at high risk of T2DM and implement effective preventive measures.
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Glucemia , Diabetes Mellitus Tipo 2 , Estado Prediabético , Circunferencia de la Cintura , Humanos , Diabetes Mellitus Tipo 2/epidemiología , Diabetes Mellitus Tipo 2/sangre , Masculino , Femenino , Persona de Mediana Edad , Glucemia/metabolismo , Glucemia/análisis , Estudios Prospectivos , Factores de Riesgo , Estado Prediabético/epidemiología , Estado Prediabético/sangre , Adulto , Estudios de Seguimiento , Anciano , Estudios de CohortesRESUMEN
OBJECTIVE: This study aimed to determine the likelihood of hyperglycemia postpartum in women with gestational diabetes mellitus (GDM) and to identify the predictors. METHODS: The retrospective cohort study involved 1 527 GDM patients who delivered at Peking University First Hospital from 1 January 2021, to 31 December 2021. According to the blood glucose level of postpartum oral glucose tolerance test (OGTT), women were divided into a normal glucose tolerance (NGT) group and a hyperglycemia group, and their characteristics and risk factors of hyperglycemia were compared. RESULTS: The prevalence of hyperglycemia was 33.9% (184/543) at 6-12 weeks postpartum. Compared with the NGT group, the fasting plasma glucose (FPG) of hyperglycemia group increased significantly during pregnancy and postpartum, the OGTT 1h postprandial glucose (PG) and 2hPG increased in the second trimester of pregnancy, the triglyceride (TG) increased in the first trimester of pregnancy and postpartum, the triglyceride glucose (TyG) index increased in the first trimester of pregnancy and postpartum, and the total cholesterol (TCHO) and low density lipoprotein cholesterol (LDL-C) decreased in the second trimester (p < 0.05). Fasting plasma glucose (FPG) in the first trimester [odds ratio (OR) = 3.583, p < 0.001], OGTT 2hPG in the second trimester (OR = 1.604, p < 0.001), the TyG index in the first trimester (OR = 1.863, p = 0.045) and FPG in third trimester (OR = 1.985, p = 0.024) were independent risk factors for postpartum hyperglycemia. CONCLUSIONS: Approximately one-third of women with GDM have hyperglycemia 6-12 weeks after delivery. FPG and the TyG index in the first trimester, OGTT 2hPG in the second trimester and FPG in third trimester are risk factors for postpartum hyperglycemia.
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Glucemia , Diabetes Gestacional , Prueba de Tolerancia a la Glucosa , Hiperglucemia , Periodo Posparto , Triglicéridos , Humanos , Femenino , Embarazo , Diabetes Gestacional/sangre , Diabetes Gestacional/diagnóstico , Adulto , Hiperglucemia/sangre , Hiperglucemia/diagnóstico , Hiperglucemia/epidemiología , Estudios Retrospectivos , Glucemia/análisis , Glucemia/metabolismo , Triglicéridos/sangre , Periodo Posparto/sangre , Ayuno/sangre , Factores de Riesgo , Valor Predictivo de las PruebasRESUMEN
AIMS/INTRODUCTION: Chronic kidney disease (CKD) is a very important issue globally because of the risk of its progressing to end-stage renal disease. We aimed to identify factors contributing to long-term estimated glomerular filtration rate (eGFR) decline to determine an early diagnosis and prevent CKD progression. MATERIALS AND METHODS: From January 2003 to December 2006, 5,507 individuals underwent health checkups at our hospital's Preventive Medicine Research Center. We ultimately enrolled 2,175 individuals. The eGFR was ≥60 mL/min/1.73 m2 at the start of observation period, which was 20 years. The event onset time was the day that the eGFR became <30 mL/min during the 20-year period. Baseline risk factors - in particular, the effect of plasma glucose levels on the eGFR - were extracted and evaluated by using Fine and Gray analysis. RESULTS: During the 20-year observation, the hazard ratio (HR) of CKD progression was examined. A fasting plasma glucose (FPG) level ≥105 mg/dL was significantly associated with the risk of CKD progressing to an eGFR <30 mL/min. This trend was similar in the slope of eGFR. An FPG ≥105 mg/dL or an glycated hemoglobin level ≥6.5% was useful for intervening in CKD progression. Multivariate analysis showed that independent risk factors were an FPG level ≥105 mg/dL (HR 1.9; P < 0.001), age ≥60 years (HR 3.86; P < 0.001), obesity (HR 1.61; P < 0.01) and urinary protein (HR 1.55; P < 0.01). CONCLUSIONS: For early intervention against a reduction in the eGFR, detecting mild increases in FPG ≥105 mg/dL in patients with CKD with or without diabetes is useful.