Normal Fasting Plasma Glucose Levels Research Articles

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.

Socio-demographic Characteristics and Nutritional Status of Adults at Risk of Type 2 Diabetes Mellitus in Kuala Nerus, Terengganu

Introduction: In Malaysia, the undiagnosed diabetes prevalence has increased. Socio-demographic characteristics and nutritional status play a crucial role in prediabetes development. Hence, this cross-sectional study aimed to identify the socio-demographic characteristics and nutritional status of adults at risk of T2DM in Kuala Nerus, Terengganu. Methods: A total of 30 participants at risk of T2DM aged 18 to 59 years old were recruited from Kuala Nerus using a convenience sampling method. Information on socio-demographic, anthropometric, fasting plasma glucose (FPG) level, clinical profile, Finnish Type 2 Diabetes Risk Assessment Tool (FINDRISC) score, dietary intake, and physical activity level were obtained. Results: The participants (mean age: 36.1 ± 8.7 years) were mostly female (76.7%), Malay (96.7%), married (43.3%), had a tertiary degree (60.0%), and were working (83.3%) with a monthly salary of less than RM 1000. Half of the participants were from the obese class I category. Their FPG level was 5.6 ± 0.5 mmol/L and half of them were classified as having optimal blood pressure. Also, they had a mean FINDRISC score of 6.3 ± 1.8. The participants consumed 2073 ± 247 kcal/day, which was comprised of 50.8% carbohydrate, 16.1% protein, and 33.1% fat. Most of them (63.3%) were minimally active. Conclusion: The participants had moderate T2DM risk with normal FPG level, blood pressure, and heart rate. They had excessive energy and fat intake with insufficient dietary fibre intake. It is vital to examine the socio-demographic characteristics and nutritional status, which can provide important information for planning future cost-effective T2DM preventive strategies.

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Aim: Obesity is a well-known modifiable risk factor for breast cancer. Impaired fasting glucose is a component of metabolic syndrome and a significant risk for diabetes. We aimed to research the effect of these two major components of metabolic syndrome on neoadjuvant chemotherapy (NAC) response in breast cancer.Methods: We conducted 161 patients who had received NAC from January 2016 to January 2022. Fasting plasma glucose levels were measured at least two times and BMI was recorded before starting NAC. Impaired fasting glucose is defined as plasma glucose levels of 100 to 125 mg per dL. Analyses were compared into two groups according to FPG levels below or above 100 mg/dl and according to BMI obese (BMI30≥ kg/m2), or non-obese (BMI <30 kg/m2). The pathologic response was evaluated, and patients were divided into five groups according to the Miller-Payne grading system classified from grade V to I, complete pathologic response, loss of more than 90% of tumor cells, reduced 30% and 90% of tumor cells, lost less than 30% of tumor cells, and had no reduction in cellularity and no change malignant cells respectivelyResults: In the pathologic responses, 70.8% of patients with impaired fasting glucose levels were grade 1 non-reduction with NAC. Disease free-survival was shorter in the group that had impaired fasting glucose than in the group that had normal fasting plasma glucose (FPG) (p=0.031). In univariate analysis clinical stage 3 (p <0.001), postmenopausal status (p=0.037), human epidermal growth factor receptor 2 (HER-2) negativity (p<0.001), estrogen receptor (ER) positivity (p <0.001), progesterone receptor (PR) positivity (p <0.001) rate were higher in grade 1 unresponsive patients compared to patients with pathological response grade 2, grade 3 and grade 4. In multivariate analysis showed that fasting plasma glucose, clinical stage, HER-2 status, and ER status were independent predictor factors for pathological complete response (pCR). BMI had no impact on pCR. Our trial showed that the ratio of pCR in patients with impaired fasting glucose was 2.5 times lower than that in patients who had normal FPG levels [HR: 2.5, 95%CI 1.08–5.92, p = 0.03].Conclusion: Fasting plasma glucose significantly impacted both pCR and recurrence.

Sasang Constitution Type Combined with General Obesity May Act as a Risk Factor for Prediabetes Mellitus.

Sasang constitutional medicine is a traditional customized medicine in Korea that classifies people into four types: Taeeumin (TE), Taeyangin (TY), Soeumin (SE), and Soyangin (SY). This study explored whether Sasang constitution (SC) types combined with general obesity could be risk factors for prediabetes mellitus (pre-DM). This study was cross-sectional and was conducted from November 2007 to July 2011 in 23 Korean medical clinics. In total, 2185 eligible subjects participated. A t test, one-way ANOVA with Scheffé's post hoc analysis, the chi-square test and multinomial logistic regression were used. Significance was indicated by p < 0.05. The numbers of participants with normal fasting plasma glucose (FPG) levels and pre-DM were 405 (75.3%) and 133 (24.7%) in the SE, 516 (70.3%) and 218 (29.7%) in the SY, and 590 (64.6%) and 323 (35.4%) in the TE (p < 0.001) groups, respectively. There was a significant difference in the proportion of each SC type among people with pre-DM and normal FPG levels in the normal BMI group. The odds ratios (ORs) of the TE type were significantly different from those of the SE type in the crude and Model 1. The distribution of the normal FPG and pre-DM individuals between the obese and normal BMI groups only for the SY type was significantly different. The SY type combined with general obesity had a higher OR (1.846, 95% CI 1.286-2.649) than that combined with normal BMI among participants with pre-DM, and this higher OR remained after adjusting for covariates (OR, 1.604, 95% CI, 1.093-2.354). This study revealed that the TE type might be a risk factor for pre-DM in the normal BMI group, and the SY type with general obesity could be a risk factor for pre-DM compared with the SY type with normal BMI. Accordingly, SC and BMI should be considered when managing pre-DM. To clarify the risk of SC and BMI, further study including epigenetic factors is needed.

Impact of Insulin Resistance on Cardiometabolic Risk Factors and an Anthropometry-Based Predictive Nomogram for Insulin Resistance Among Adolescents in China.

ObjectiveWe aimed to investigate the impact of insulin resistance (IR), as determined by the homeostasis model assessment of insulin resistance (HOMA-IR), on cardiometabolic risk factors (CMRFs), and develop an anthropometry-based predictive nomogram for IR among adolescents in China.DesignData were acquired from a cross-sectional study with a stratified cluster sampling method, conducted among adolescents in Northeast China.ParticipantsA total of 882 adolescents (aged 12–16 years, 468 boys) were included.MeasurementsAll participants underwent anthropometric and biochemical examinations. The thresholds of IR included the 90th percentile of the HOMA-IR for adolescents with a normal body mass index (BMI) and fasting plasma glucose (FPG) level within each sex group (Cutoff A), and the 75th percentile for all participants of the same sex (Cutoff B).ResultsThe HOMA-IR was associated with CMRFs. IR, as defined by both cutoffs A and B, was significantly associated with most CMRFs, except decreased HDL-C levels. Excellent concordance (κ = 0.825) was found between these two criteria in diagnosing IR. However, IR using cutoff A, was more closely associated with cardiometabolic risk. The incidence of IR, as defined by cutoff A, was 18.93% and increased from 10.99% to 43.87% based on the different BMI categories. Further, an anthropometry-based predictive model for IR, incorporating sex, age, waist-to-hip ratio, weight and BMI, was developed and presented as a nomogram.ConclusionsIR among adolescents is strongly related to cardiometabolic risk. We developed an anthropometry-based predictive nomogram for IR among adolescents, which may facilitate health counselling and self-risk assessments.

Serum C18:1-Cer as a Potential Biomarker for Early Detection of Gestational Diabetes.

We hypothesized that sphingolipids may be early biomarkers of gestational diabetes mellitus (GDM). Here, 520 women with normal fasting plasma glucose levels were recruited in the first trimester and tested with a 75 g oral glucose tolerance test in the 24th–28th week of pregnancy. Serum sphingolipids concentrations were measured in the first and the second trimester by ultra-high performance liquid chromatography coupled with triple quadrupole mass spectrometry (UHPLC/MS/MS) in 53 patients who were diagnosed with GDM, as well as 82 pregnant women with normal glucose tolerance (NGT) and 32 non-pregnant women. In the first trimester, pregnant women showed higher concentrations of C16:0, C18:1, C22:0, C24:1, and C24:0-Cer and lower levels of sphinganine (SPA) and sphingosine-1-phosphate (S1P) compared to non-pregnant women. During pregnancy, we observed significant changes in C16:0, C18:0, C18:1, and C24:1-Cer levels in the GDM group and C18:1 and C24:0-Cer in NGT. The GDM (pre-conversion) and NGT groups in the first trimester differed solely in the levels of C18:1-Cer (AUC = 0.702 p = 0.008), also considering glycemia. Thus, C18:1-Cer revealed its potential as a GDM biomarker. Sphingolipids are known to be a modulator of insulin resistance, and our results indicate that ceramide measurements in early pregnancy may help with GDM screening.

Influence of Fasting Plasma Glucose Level on Admission of COVID-19 Patients: A Retrospective Study.

Background The coronavirus disease 2019 (COVID-19) is a serious global health threat and has spread dramatically worldwide. Prolonged viral shedding is associated with a more severe disease course and inflammatory reaction. Blood glucose levels were significantly associated with an increased hazard ratio (HR) for poor outcomes in COVID-19 patients. Objective Previous studies focused primarily on the relationship between blood glucose and mortality or severe outcomes, but there were few research studies on the relationship between fasting plasma glucose (FPG) and duration of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA positive status. To explore the relationship between FPG levels and prolonged duration of SARS-CoV-2 viral positivity, the clinical data of COVID-19 patients were analyzed. Method In this retrospective study, 99 cases of COVID-19 patients in Beijing Ditan Hospital were recruited, and their clinical and laboratory findings at admission were collected and analyzed. Furthermore, the risk factors for prolonged duration of SARS-CoV-2 RNA shedding were identified, and the relationship between FPG levels and the prolonged presence of SARS-CoV-2 RNA was evaluated. Result We found that elevated FPG levels were correlated with longer duration of SARS-CoV-2 RNA positivity, classification of COVID-19, imaging changes of chest CT, inflammation-related biomarkers, and CD8+ T cell number in COVID-19 patients. In a logistic regression model, after adjusting for gender and age, COVID-19 patients with elevated FPG were more likely to had longer duration of SARS-CoV-2 RNA positivity than those with normal FPG levels (OR 3.053 [95% CI 1.343, 6.936]). Conclusion Higher FPG levels (≥6.1 mmol/l) at admission was an independent predictor for prolonged SARS-CoV-2 shedding, regardless of a known history of diabetes. It suggests that intensive monitoring and control of blood glucose are important for all COVID-19 patients.

Epidemiology of Isolated Impaired Glucose Tolerance Among Adults Aged Above 50 Years in Rural China.

IntroductionIsolated impaired glucose tolerance (i–IGT) is a subtype of prediabetes in which an individual demonstrates elevated 2-h post-glucose load glucose levels but normal fasting plasma glucose levels. However, few studies have explored the prevalence and risk factors of i–IGT among adults in rural China. Thus, we aimed to explore the prevalence and risk factors of i–IGT among adults ≥50 years old in a low-income, rural population in China.Materials and MethodsIndividuals aged ≥50 years with normal fasting plasma glucose levels were included in the final analysis. Fasting and 2-h venous blood samples were collected to assess the selected parameter measurements.ResultsA total of 2175 individuals were included in this study. The i–IGT prevalence was 22.9% and significantly higher among females than among males (P<0.05). Older age [odds ratio (OR), 1.606; 95% confidence interval (CI), 1.101–2.342; P=0.014), hypertension (OR, 1.554; 95% CI, 1.152–2.019; P=0.004), and central obesity (OR, 1.395; 95% CI, 1.099–1.771; P=0.006) were associated with i–IGT. Moreover, white blood cell (OR, 1.089; 95% CI, 1.009–1.175; P=0.029), high-sensitivity C-reactive protein (OR, 1.049; 95% CI, 1.020–1.078; P=0.001), serum uric acid (OR, 1.0003; 95% CI, 1.001–1.004; P=0.001), triglyceride (OR, 1.540; 95% CI, 1.105–2.147; P=0.011), and alanine aminotransferase (OR, 1.012; 95% CI, 1.004–1.021; P=0.004) levels were also linked to i–IGT in the analyzed population.ConclusionHealth promotion education and a standardized approach to managing body weight, BP, and lipid and uric acid levels would benefit this low-income population in rural China for reducing the risk of cardiovascular disease.

Sex Differences in the Prevalence of and Risk Factors for Abnormal Glucose Regulation in Adults Aged 50 Years or Older With Normal Fasting Plasma Glucose Levels.

AimsAbnormal glucose regulation, which can present as diabetes and prediabetes, has become one of the most common chronic conditions. However, sex differences in the prevalence of and factors associated with abnormal glucose regulation remain unclear. Thus, we aimed to explore sex differences in the prevalence of and factors associated with abnormal glucose regulation in low-income adults in China aged ≥50 years with normal fasting plasma glucose levels.Materials and MethodsA total of 2,175 individuals aged ≥50 years with normal fasting plasma glucose levels were recruited into this study. After an overnight fast of at least 10 h, individuals underwent an oral glucose tolerance test. Fasting and 2-h plasma glucose levels were measured to determine the state of glucose regulation.ResultsWomen were more likely than men to have isolated-impaired glucose tolerance (i-IGT) overall (24.7% vs 20.8%; P= 0.034), among individuals aged <65 years (21.7% vs 15.9%; P= 0.012). Among men, independent risk factors for i-IGT were an age of ≥65 years, hypertension, and high serum uric acid (SUA) and triglyceride levels; independent risk factors for diabetes mellitus (DM) were an age of ≥75 years and alcohol consumption. Among women, independent risk factors for i-IGT were central obesity and high levels of high-sensitivity C-reactive protein and SUA; independent risk factors for DM were low education and an elevated white blood cell count.ConclusionsOur findings suggest that conventional cardiovascular disease risk factors (i.e., age, hypertension, and dyslipidemia) associated with high risk of developing DM in men, but poor life style (i.e., obesity) and low education attainment in women. It is necessary for delay or stopping the development of DM among low-income adults in China to implement the personalized scheme of prevention DM between men and women, especially highlight control the risk factors in young and middle aged women.

Fasting plasma glucose and subsequent cardiovascular disease among young adults: Analysis of a nationwide epidemiological database

Background and aimsUsing a nationwide epidemiological database, we aimed to clarify the association of fasting plasma glucose (FPG) with subsequent cardiovascular disease (CVD) risk among young adults. Methods and resultsMedical records of 1,180,062 young adults (20–49 years old) without a prior history of CVD and who were not taking antidiabetic medications were extracted from the Japan Medical Data Center. We categorized the study population into four groups: normal, FPG level<100 mg/dL (1,007,747 individuals), normal-high, FPG level of 100–109 mg/dL (126,602 individuals), impaired fasting glucose (IFG), FPG level of 110–125 mg/dL (32,451 individuals), and diabetes mellitus (DM), FPG level ≥126 mg/dL (13,262 individuals). The mean age was 39.7 ± 6.9 years, and 57.0% of the study population were men. Mean follow-up period was 1201 ± 905 days on average. Multivariable Cox regression analysis showed that IFG (hazard ratio [HR]; 1.38) and DM (HR; 2.09) increased the risk of myocardial infarction. Normal-high (HR; 1.11), IFG (HR; 1.18), and DM (HR; 1.59) groups had an elevated angina pectoris risk. DM (HR; 1.31) increased the risk of stroke compared to normal FPG levels. Normal-high levels (HR; 1.10), IFG (HR; 1.22) and DM (HR; 1.58) elevated the risk of heart failure. DM (HR; 1.69) increased the risk of atrial fibrillation. ConclusionsOur analysis of a nationwide epidemiological database demonstrated a close association of the FPG category with subsequent CVD risk. Our results exemplify the importance of optimal FPG maintenance for the primary prevention of CVD in young adults.

Caffeine and Caffeine Metabolites in Relation to Insulin Resistance and Beta Cell Function in U.S. Adults.

The relationship between caffeine and insulin resistance (IR) has been assessed only in terms of caffeine intake, and the association between caffeine and beta cell function (BCF) remains unclear. This study examines the association between urinary caffeine and its metabolites, IR, and BCF in nondiabetic, noninstitutionalized US adults in order to account for the inter-individual differences in caffeine metabolism. Data on urinary caffeine and its metabolites, IR and BCF from adults aged 20 years and older who participated in the 2009–2010 and 2011–2012 National Health and Nutrition Examination Surveys were analyzed (n for caffeine = 994). IR and BCF were assessed using homeostatic model assessment (HOMA) and urinary caffeine and its metabolites were measured using high-performance liquid chromatography-electrospray ionization-tandem quadrupole mass spectrometry. After adjusting for all covariates, increases in urinary 1,3-DMU, 1,7-DMU, 1,3,7-TMU, theophylline, paraxanthine, caffeine, and AAMU were significantly associated with increased HOMA-IR and HOMA-β (HOMA of insulin resistance and beta cell function). Compared with individuals in the lowest quartile of urinary 1,3-DMU, 1,7-DMU, 1,3,7-TMU, theophylline, paraxanthine, caffeine, and AAMU, the regression coefficients for HOMA-IR and HOMA-β were significantly higher among those in the highest quartile. After stratification by prediabetes status, HOMA-IR and HOMA-β showed significant positive associations with urinary caffeine and its metabolites among subjects with normal fasting plasma glucose levels. Our cross-sectional study showed that caffeine and its metabolites were positively related to IR and BCF.

Telomere length in different metabolic categories: Clinical associations and modification potential.

Metabolic disorders are known to be associated with accelerated telomere attrition. Their pathophysiological heterogeneity suggests the importance of multiple tests in examining these associations. However, oral glucose tolerance test (OGTT) has rarely been performed in such studies to date. There are few studies aimed at determining leukocyte telomere length (LTL) in different categories of impaired glucose tolerance (IGT), and those that do exist do not take into account the impaired fasting glucose (IFG)/IGT categorization. Therefore, we believe our study, when the OGTT was used, is important to the field. This testing made it possible to determine whether LTLs are associated with glucose levels in different hyperglycemic categories. Our data indicate that relationships between LTLs and IFG/IGT levels are not the same. This distinction can potentially be used in categorization of metabolic disorders and in determining the effectiveness of interventions aimed at treating diabetes and other metabolic abnormalities.

Increased Risk Of Type 2 Diabetes And Abnormal FPG Due To Shift Work Differs According To Gender: A Retrospective Cohort Study Among Thai Workers In Bangkok, Thailand.

PurposeThe gender differential evidence of the association between shift work and type 2 diabetes risk remains scarce. This longitudinal study determines whether the association between shift-work exposure and type 2 diabetes risk and abnormal fasting plasma glucose (FPG) differs according to gender; the study aims to find the association between shift work and changes in physiological, behavioral, and psychosocial stress.Patients and methodsThis retrospective cohort study was conducted among 5947 workers (4647 female and 1300 male) aged ≤60 years old in Bangkok, Thailand. Participants required a normal FPG level (<100 mg/dL) at baseline and at least two health check-up results from 2009 to 2016. Shift-work exposure history was assessed using a self-administered questionnaire; FPG levels were measured annually. Cox proportional hazard models were used to assess the aforementioned association.ResultsDuring the follow-up period, 1470 new abnormal FPG and 154 new type 2 diabetes cases developed. Stratified analysis of male workers’ data revealed an association was significant in the unadjusted model, which tended to be stronger after adjustment for demographic data and the baseline values of anthropometric and biochemical parameters. This was the case both for type 2 diabetes [Hazard Ratio (HR) (95% Confidence Interval (CI))=2.98 (1.58–5.62)] and abnormal FPG [HR (95% CI)=1.86 (1.43–2.41)]; this association was less obvious among women.ConclusionShift work is a risk factor for type 2 diabetes and abnormal FPG; this risk is gender differential, being more pronounced in men. Preventive measures aiming at ameliorating shift work induced type 2 diabetes risk should pay more attention to men.

Pre-pregnancy maternal fasting plasma glucose levels in relation to time to pregnancy among the couples attempting first pregnancy

STUDY QUESTIONWhat is the relationship between pre-pregnancy maternal glucose levels and fecundability in Chinese couples?SUMMARY ANSWERElevated pre-pregnancy maternal glucose levels were associated with fecundability, as reflected by prolonged time to pregnancy (TTP) among the couples with no prior gravidity.STUDY DESIGN, SIZE, DURATIONBased on the National Free Pre-conception Check-up Projects supported by the Chinese government, 2 226 048 eligible couples attempting first pregnancy and participating in the project from 2015 to 2016 were included. They were followed-up for 1 year or until they reported pregnancy.PARTICIPANTS/MATERIALS, SETTINGS, METHODSThe Kaplan–Meier method was used to estimate the cumulative pregnancy rate in each menstrual cycle, and the discrete-time analogue of the Cox models was used to estimate the fecundability odds ratios (FORs) and 95% CIs by different pre-pregnancy maternal glucose levels (impaired fasting glucose (IFG) or diabetes as compared to normal).MAIN RESULTS AND THE ROLE OF CHANCEThe cumulative pregnancy rate for 12 cycles of the normal fasting plasma glucose (FPG) level group was 42.29%, significantly higher than that of the IFG (35.52%) and diabetes groups (31.52%). After adjusting for confounding factors, the FORs were 0.82 (95% CI: 0.81–0.83) and 0.74 (95% CI: 0.72–0.76) for the IFG and diabetes groups, respectively, as compared to the normal group. The association between pre-pregnancy maternal FPG levels and the FORs was non-linear, and the optimal FPG level for greatest fecundability (shortest TTP) was 3.90–4.89 mmol/L.LIMITATIONS, REASONS FOR CAUTIONThe findings from this register-based cohort study require cautious interpretation given that information bias would be inevitable for single FPG measurements and for TTP calculations that were based on telephone follow-up information. Additionally, because couples who achieved pregnancy during their first menstrual cycle in the study were excluded, the pregnancy rates reported were low and possibly biased.WIDER IMPLICATIONS OF THE FINDINGSThe current report suggests that elevated pre-pregnancy maternal glucose levels were associated with prolonged TTP. Early evaluation and preventive treatment for female partners with IFG or diabetes in a pre-pregnancy examination are necessary.STUDY FUNDING/COMPETING INTEREST(S)Funding was provided by the National Key Research and Development Program of China (grants No. 2016YFC1000300 and 2016YFC1000307), the National Natural Science Foundation of China (grant No. 81872634), the CAMS Innovation Fund for Medical Sciences (grant No. 2018-I2M-1-004), the National Human Genetic Resources Sharing Service Platform (grant No. 2005DKA21300) and the National Population and Reproductive Health Science Data Center (grant No. 2005DKA32408), People’s Republic of China. The authors have no conflicts of interest to declare.TRIAL REGISTRATION NUMBERN/A

The ratio of fasting plasma glucose to hemoglobin A1c as a predictor of all-cause mortality in individuals with normal glucose levels: The Jichi Medical School cohort study.

Objectives:The fasting plasma glucose/hemoglobin A1c ratio is considered a marker associated with glucose metabolism disorders, including fasting hyperglycemia. However, it remains unclear whether this ratio can be used for the prevention of deaths in individuals with normal fasting plasma glucose levels. This study aimed to see the predictive value of the fasting plasma glucose/hemoglobin A1c ratio for all-cause mortality in a general population with normal fasting plasma glucose levels.Methods:The study investigated prospectively a cohort of 1087 multi-regional, community-dwelling Japanese participants (women, 69.2%) for a follow-up period of 11.3 years. We included individuals with fasting plasma glucose levels <6.11 mmol/L and excluded those meeting the diabetes criteria. All-cause mortality was the primary outcome and hazard ratios were calculated using the Cox proportional hazard model after dividing the fasting plasma glucose/hemoglobin A1c ratios into tertiles.Results:There were 54 deaths (25 women) during the follow-up period. The high tertile group had a significantly higher hazard ratio for all-cause mortality than the low tertile group in women (multivariate-adjusted hazard ratio = 4.45; 95% confidence interval = 1.26–15.72), but not clearly in men.Conclusion:The data of the population-based cohort study suggest that a high fasting plasma glucose/hemoglobin A1c ratio can predict all-cause mortality in women with normal fasting plasma glucose levels.

To study the influence of iron deficiency anaemia on hba1c in diabetic screening

Introduction: HbA1c is used for monitoring glycaemic control and to predict diabetic complications. IDA attributes to 50% of all forms of anaemia, globally. Reduced iron stores have a link with increased HbA1c, leading to false-high values of HbA1c. There is lack of clinical evidence suggestive of the influence of Iron Deficiency Anaemia on HbA1c.Objectives: To evaluate the association between Iron Deficiency Anaemia and HbA1c values.Methodology: Observational Cross-sectional study was conducted on 50 patients attending OPD/admitted to MVJ Medical College & Research Hospital, during the study period from January 2018 to December 2018. By Simple Random Sampling, patients with anaemia, normal fasting and postprandial plasma glucose levels, normal liver function tests, normal blood urea and serum creatinine levels were recruited for this study.Results: Twenty-Five participants were in the iron deficiency anaemia group and 25 in the control (normal) group. Mean Hb among cases was 8.48±1.5 (5.4 to 10.9 gm dL) and that among controls was 14.2±0.8 (12.3-15.5 gm/dL). The mean HbA1c was 6.5±0.6. The mean HbA1c for cases with Iron Deficiency Anaemia was more than that for healthy controls (7.1±0.3 and 6.0±0.3 respectively) (p-value

Hemoglobin A1c Levels Are Slightly but Significantly Lower in Normoglycemic Subjects With the Hemoglobin E Phenotype.

Hb mutations can alter the structure, behavior, stability, or quantity of the globin chain produced. Some Hb variants shorten the erythrocyte life span, resulting in physiologically lower hemoglobin A1c (HbA1c) levels. The hemoglobin E (HbE) phenotype involves a single-nucleotide polymorphism that reduces β-globin chain synthesis. We compared the HbA1c levels of subjects with normal Hb (HbAA; N=131) and HbE (N=148) phenotypes, examining potential hematological and biochemical factors contributing to differences in HbA1c levels. All had normal fasting plasma glucose (<5.6 mmol/L), AST, ALT, and creatinine levels. Mean±SD HbA1c levels differed between HbAA and HbE subjects: 5.5±0.3% and 5.3±0.3% (P<0.001) according to an immunoassay, and 5.5±0.3% and 5.3±0.3% (P<0.001) according to cation-exchange HPLC, respectively. In multiple logistic regression, only mean corpuscular volume (P<0.001) contributed to the difference in HbA1c levels between groups. Although a 0.2% difference in HbA1c is relatively small and unlikely to alter clinical decisions, epidemiologically, this can lead to misclassification of a significant proportion of the population, especially since the threshold of non-diabetes HbA1c (≤5.6%) falls very close to the HbA1c median of the general population.

ADIPOR2 variant is associated with higher fasting glucose level in non-diabetic Chinese Han population

A high but normal fasting plasma glucose level in adults is a marker for insulin resistance and future development of type 2 diabetes mellitus. We aimed to investigate whether ADIPOR2 variants are associated with increased fasting plasma glucose (FPG) in non-diabetic Chinese Han subjects who had normal FPG levels. This study included 2038 subjects among the non-diabetic Chinese Han population. The ADIPOR2 polymorphisms were genotyped by the TaqMan method. For the analysis, participants were divided into low-normal FPG group (FPG FPG ≥ 4.88 mmol/L). We identified five single nucleotide polymorphisms (SNPs) of ADIPOR2 gene: rs10773989, rs2370055, rs9300298, rs10773983, and rs13611594. There was no significant difference in FPG levels between different genotypes of rs10773989, rs2370055, rs9300298, and rs13611594. Our data showed a significant association of rs10773983 with higher FPG levels, fasting insulin levels, and homeostatic model assessment of insulin resistance (HOMA-IR) in A-allele carriers (p = 0.006, p < 0.001, and p < 0.001, respectively). The subjects in high FPG group had higher median fasting insulin level (9.25 vs 8.16 μIU/mL, p = 0.003) and higher HOMA-IR (2.21 vs 1.58, p < 0.001) than those in normal FPG group. Subjects with the A-allele of rs10773983 compared to subjects with G-allele had 1.222-fold higher risk for high-normal FPG (OR = 1.222, 95%CI = 1.010–1.478, p = 0.039). Our findings suggest that ADIPOR2 rs10773983 polymorphism may be associated with an increased risk of high-normal FPG among non-diabetic Chinese Han subjects who have normal FPG levels.

Insulin Sensitivity and Gynaecological Features of Infertile Cameroonian Females with Polycystic Ovary Syndrome: A Cross-Sectional Study

Background: Polycystic ovary syndrome (PCOS), characterized by ovulatory dysfunction, polycystic ovary(PCO),hyperandrogenism and insulin resistance is the commonest endocrine disorder in women of reproductive age. It is an intriguing pathology that involves the perpetuation of a vicious circle with reproductive, endocrine and metabolic components. We aimed to assess the reproductive features and insulin sensitivity (IS) in infertile women with or without PCOS. Materials and Methods: We carried out a cross-sectional analytic study at the outpatient Obstetrics and Gynaecology Department of the Yaounde Gyneco-obstetric and Pediatrics Hospital, Cameroon from September 1st 2012 to March 31st 2013 giving total study duration of 07 months. Laboratory analyses were carried out at the National Obesity Centre(NOC)of the Yaounde Central Hospital, Cameroon. Results: Overall, 36 infertile females were enrolled, which included 15 diagnosed cases of PCOS according to Rotterdam consensus meeting of 2003 and 21 non PCOS subjects as control. PCOS women were younger than non PCOS women (28.8 ± 5.5 vs. 35.0 ± 4.2 years; p = 0.0004). The majority of the women in the PCOS group were spaniomenorrheic (11/15), and ultrasonographic findings were typical of PCOS. Hirsutism score was higher in the PCOS group with a median of 9 (7 - 13). Insulin sensitivity was impaired in two-thirds of the study population, with 12 women found to be insulin resistant(6 PCOS, 6 non PCOS), 12 patients had intermediate insulin sensitivity(2 PCOS, 10 non PCOS)and 12 insulin sensitive(7 PCOS, 5 non PCOS). Apart from blood glucose levels (p = 0.007), all other anthropometric and biological parameters were not significant. Spearman’s correlation identified fasting plasma glucose and total cholesterol as factors associated with insulin sensitivity in females with PCOS. Impaired fasting glucose was observed in 13 patients with 08 from the PCOS group. Conclusion: We conclude that young age, spaniomenorrhea and hirsutism are common findings in PCOS. Furthermore, our findings suggest that PCOS may be more of systemic metabolic disease than solely a purely gynecologic disorder as described hitherto. Despite normal fasting plasma glucose levels, a good proportion of these women has impaired insulin sensitivity and it is associated with a metabolic syndrome.

Identification of Impaired Second-Phase Insulin Secretion in Various Degrees of Glucose Tolerance in a Chinese Population.

Impaired insulin sensitivity and insulin secretion (ISEC) are major pathophysiologies of type 2 diabetes (T2DM). ISEC has two phases: the first and second phases (second ISEC). In this study, we derived equations to identify patients with second ISEC deficiency (ISEC-D). Data from 96 patients, namely 19 with a normal fasting plasma glucose (FPG) level, 21 with prediabetes, and 56 with T2DM, were enrolled. They underwent a modified low-dose graded glucose infusion test, which was originally proposed by Polonsky et al. The test results were interpreted as the slopes of the changes of plasma insulin against the glucose levels, which were considered second ISEC. Patients with the lowest quartile of the slopes were defined as having ISEC-D. We built three models: Model 0: FPG, Model 1: FPG + waist circumference, and Model 2: Model 1 + fasting plasma insulin. The area under the receiver operating characteristic (aROC) curve was used to determine the predictive power of these models. Among the metabolic syndrome components, FPG had the largest aROC curve (78.2%). Although aROC curves of Models 1 and 2 (85.2% and 91.5%, respectively) were higher than the aROC curve of FPG, no difference was observed between Models 1 and 0. By contrast, the aROC curve of Model 2 was higher compared with Model 1. FPG showed the largest aROC curve. Model 2 had the highest predictive power, which could identify patients with ISEC-D with a sensitivity and specificity of 94.3% and 82.6%, respectively. These two models could be conveniently used in daily practice.