scholarly journals Relationship of Glycosylated Hemoglobin with Fasting and Postprandial Plasma Glucose in Nondiabetic, Pre-diabetic and Newly Diagnosed Diabetic Subjects

1970 ◽  
Vol 40 (1) ◽  
pp. 37-38
Author(s):  
M Saiedullah ◽  
S Begum ◽  
S Shermin ◽  
MR Rahman ◽  
MAH Khan
Keyword(s):  
Correlation Coefficient ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
High Performance ◽  
Glycosylated Hemoglobin ◽  
Newly Diagnosed ◽  
Postprandial Plasma Glucose ◽  
Fasting Plasma ◽  
Relationship Of ◽  
The Relationship

Glycosylated hemoglobin (HbA1c) is considered as an index of glycemic status of previous 2 to 3 months. HbA1c in diabetic subjects is translated to average glucose (eAG) and well correlated to mean plasma glucose (MPG). This study was performed to assess the relationship of fasting plasma glucose (FPG) and postprandial plasma glucose (PPG) with HbA1c in nondiabetic, pre-diabetic and newly diagnosed diabetic subjects. Seven hundred subjects of both sexes were included conveniently in this study. Fasting and 2 hours postprandial plasma glucose concentrations were measured by hexokinase method. HbA1c was measured by high performance liquid chromatyography (HPLC) based hemoglobin assay system. Subjects were classified into three groups according to WHO criteria. The correlation coefficient between FPG and HbA1c were 0.2495 (P<0.001), 0.2665 (P<0.001) and 0.8010 (P<0.001) in the nondiabetic, pre-diabetic and newly diagnosed diabetic subjects respectively. The correlation coefficient between PPG and HbA1c were -0.0661 (P>0.05), 0.2447 (P<0.01) and 0.7812 (P<0.001) in the nondiabetic, pre-diabetic and newly diagnosed diabetic subjects respectively. This study revealed that fasting plasma glucose had a modest higher relation with HbA1c than 2 hours postprandial plasma glucose in the newly diagnosed diabetic subjects. It can be concluded that evaluation of FPG may provide better outcome than PPG in the newly diagnosed never treated diabetic subjects. DOI: http://dx.doi.org/10.3329/bmj.v40i1.9961 BMJ 2011; 40(1): 37-38

scholarly journals Correlation of Fasting and Postprandial Glucose Levels with Glycosylated Hemoglobin in Diagnosis of Diabetes

2021 ◽  
Vol 17 (1) ◽  
pp. 44-54
Author(s):  
Prija Poudyal ◽  
Kabina Shrestha ◽  
Lily Rajbanshi ◽  
Afaque Anwar
Keyword(s):  
Correlation Coefficient ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Glycosylated Hemoglobin ◽  
Vascular Complications ◽  
P Value ◽  
Cross Sectional ◽  
Postprandial Plasma Glucose ◽  
Glucose Levels ◽  
Fasting Plasma

Introduction: Diabetes Mellitus describes a group of metabolic disorders characterized by hyperglycemia. Uncontrolled glycemic state often leads to micro and macro vascular complications. Diabetes is the foremost cause of new blindness in adults. Constant screening of the diabetic profile through blood tests of the affected people and prompt actions to control them can help to improve the quality of life of these patients. The study was done to evaluate the correlation between fasting and postprandial plasma glucose levels with glycosylated hemoglobin for diagnosis of diabetes and to determine the prevalence of diabetes in different age groups with sex predilection. Methods: A descriptive cross sectional study was conducted and the data collection was carried out in the Department of Ophthalmic Pathology and Laboratory Medicine, Biratnagar Eye Hospital. Ethical approval was obtained from Institutional Review Committee of this hospital. All 275 patients who attended the laboratory from January 2019 to June 2019 for fasting plasma glucose, postprandial plasma glucose and glycosylated hemoglobin values estimation were included in this study. The data obtained were computed and analyzed using Statistical Package for the Social Sciences version 20.0 Results: A significant correlation between fasting plasma glucose, postprandial plasma glucose and glycosylated hemoglobin was observed in this study (p value <0.001). The correlation coefficient between fasting plasma glucose and glycosylated hemoglobin (r= 0.728) is stronger than the correlation coefficient between postprandial plasma glucose and glycosylated hemoglobin (r= 0.709). Conclusions: Fasting plasma glucose correlated better than postprandial plasma glucose with glycosylated hemoglobin.    

scholarly journals Relationship of HbA1c with Fasting and Plasma Glucose 2 Hours after Oral Glucose Load in Non Diabetic and Newly Diagnosed Pre Diabetic and Diabetic Patients

2012 ◽  
Vol 2 (2) ◽  
pp. 81-83
Author(s):  
Tanjina Hossain ◽  
Zafar Ahmed Latif ◽  
Abdullah Al-mamun Sarkar
Keyword(s):  
Correlation Coefficient ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Oral Glucose ◽  
Diabetic Patients ◽  
Moderate Degree ◽  
Oral Glucose Load ◽  
Glucose Load ◽  
Fasting Plasma ◽  
Relationship Of

Objectives: This study was conducted to assess the relationship of Fasting Plasma Glucose and Plasma Glucose 2 hours after 75 gram glucose load with HbA1c in subjects who were not detected before as diabetic, pre diabetic or non diabetic. Methods: Total eight hundred and seventy eight subjects of both sexes coming to do for an Oral Glucose Tolerance Test (OGTT) were included in the study. Fasting and plasma glucose 2 hours after 75 gram glucose load were measured by hexokinase method. HbA1c was measured by high performance liquid chromatography (HPLC) method. Results: According to OGTT among the total study subjects 48.7%(n=428) had DM, 17.1% (n=150) had Pre DM and 34.2% (n=300) were non diabetic. Correlation coefficient between Fasting Plasma Glucose and HbA1c was 0.551 (p.000) and correlation coefficient between HbA1c and plasma glucose at 2 hours after oral glucose load was 0.475 (p.000). Conclusion: This study showed moderate degree of relationship between Fasting Plasma Glucose and HbA1c and between HbA1c and plasma glucose 2 hours after 75 gram glucose load in population never diagnosed before as diabetic, pre diabetic or non diabetic. DOI: http://dx.doi.org/10.3329/birdem.v2i2.12307Birdem Med J 2012; 2(2) 81-83

scholarly journals The Relationship of Fasting Plasma Glucose Values and Other Variables to 2-h Postload Plasma Glucose in Japanese Subjects

Diabetes Care ◽  
2001 ◽  
Vol 24 (7) ◽  
pp. 1156-1160 ◽  
Author(s):  
Y. Bando ◽  
Y. Ushiogi ◽  
K. Okafuji ◽  
D. Toya ◽  
N. Tanaka ◽  
...  
Keyword(s):  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Fasting Plasma ◽  
Relationship Of ◽  
The Relationship ◽  
Japanese Subjects

scholarly journals SUN-616 Poor Diagnostic Concordance Between Fasting Plasma Glucose and Glycosylated Hemoglobin in a Black South African Population

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Alisha N Wade ◽  
Nigel Crowther ◽  
F Xavier Gomez-Olive ◽  
Ryan G Wagner ◽  
Jennifer Manne-Goehler ◽  
...  
Keyword(s):  
South African ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Glycosylated Hemoglobin ◽  
Kappa Statistic ◽  
African Population ◽  
South African Population ◽  
Black South African ◽  
Fasting Plasma ◽  
History Of

Abstract Background: While elevations in fasting plasma glucose (FPG) and glycosylated hemoglobin (HbA1c) are both recognized by the American Diabetes Association (ADA) as diagnostic of hyperglycemia, previous comparisons of these tests have demonstrated discordant individual classifications and population estimates. This may be due to additional postprandial glycemia reflected by HbA1c and, in African-descent populations, to non-glycemic factors that contribute to higher HbA1c at any given level of glycemia. We hypothesized that glycemic classifications based on FPG or HbA1c would differ in a Black South African population and investigated factors associated with discordance. Methods: 889 Black adults with previously undiagnosed diabetes, aged 40-79 years, from the population-based Health and Ageing in Africa: a Longitudinal Study of an INDEPTH Community in South Africa (HAALSI) cohort were included. Concordance between ADA FPG (normoglycemia [NG] &lt;100 mg/dl, prediabetes [pre-DM] 100-125 mg/dl, diabetes [DM] ≥ 126 mg/dl) and HbA1c (NG &lt;5.7%, pre-DM 5.7-6.4%, DM ≥ 6.5%) classifications was assessed using Cohen’s kappa statistic and logistic regression models were used to identify predictors of discordance. Results: Median age was 55 years (IQR 49-62) and 49.3% of the sample was male. Median glucose was 86.4 mg/dl and median HbA1c was 5.4%. Pre-DM, as defined by HbA1c, was present in 204 participants (22.9%), while FPG-defined pre-DM was present in 122 (13.7%). DM defined by HbA1c was present in 146 (16.4%), while FPG-defined DM was present in 36 (4.0%). Concordance between the two tests was poor (kappa statistic 0.18; 95%CI 0.13-0.24). Self-reported history of tuberculosis (OR 1.90, p=0.026) and higher HbA1c (OR 4.70, p&lt;0.001) were associated with increased likelihood of discordance, whereas higher fasting glucose was associated with decreased likelihood of discordance (OR 0.58, p&lt;0.001). There was no association between discordance and hemoglobin, HIV status, BMI, waist circumference or hip circumference. Conclusion: FPG and HbA1c exhibit poor concordance in classifying hyperglycemia in this Black South African population, with HbA1c-based definitions identifying higher prevalences of pre-DM and DM. Further work is needed to confirm whether these discrepancies are due solely to elevations in postprandial glucose. In the interim, clinicians should consider confirming elevated HbA1c concentrations with oral glucose tolerance testing, particularly in those with a history of tuberculosis, prior to making a diagnosis of DM in this population.

Association of Triglyceride-glucose Index and the Risk of Incident Diabetes: a Secondary Analysis Based on a Chinese Cohort Study

2020 ◽  
Author(s):  
Xiaoli Li ◽  
Guilong Li ◽  
Tiantian Cheng ◽  
Jing Liu ◽  
Guangyao Song ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Cohort Study ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Incident Diabetes ◽  
Family History Of Diabetes ◽  
Tyg Index ◽  
Fasting Plasma ◽  
Increased Risk ◽  
The Relationship

Abstract BackgroundTriglyceride-glucose index (TyG index) has been regarded as a reliable alternative marker of insulin resistance. However, study on the relationship between TyG index and incident diabetes remains limited. This study aimed to investigate the association between TyG index and incident diabetes in a large cohort of Chinese population.MethodsThe present study was a retrospective cohort study using healthy screening programme data in China. A total of 201,298 subjects free of baseline diabetes were included who received a health check with all medical records from 2010 to 2016. TyG index was calculated as Ln[fasting triglyceride level (mg/dl) x fasting plasma glucose (mg/dl)/2]. Diagnosis of diabetes was based on fasting plasma glucose ≥ 7.00 mmol/L and/or self-reported diabetes. Cox proportion-hazard model was used to assess the relationship between TyG index at baseline and the risk of incident diabetes. It should be noted that the data was uploaded to the DATADRYAD website, and we only used this data for secondary analysis.ResultsDuring a mean follow-up of 3.12 years of 201,298 individuals aged ≥ 20 years old, 3389 subjects developed diabetes. After adjusting for age, sex, body mass index, systolic blood pressure, diastolic blood pressure, total cholesterol, low density lipoprotein cholesterol, alanine aminotransferase, aspartate aminotransferase, serum creatinine, smoking, drinking and family history of diabetes, multivariate cox hazards regression analysis indicated that TyG index was positive correlation with the risk of developing diabetes in Chinese population (HR, 3.34; 95% CI, 3.11 to 3.60). The risk of incident diabetes increased with increasing TyG index. Subjects with TyG index in the fourth quartile were 6.26 times more likely to develop diabetes than the lowest quartile (P trend < 0.001). Subgroup analysis showed the stronger association was observed in the population with age < 40, BMI (≥ 18.5, < 24 kg/m2), SBP < 140 mmHg or females (all P for interaction < 0.0001).Conclusions TyG index was independently correlated with the increased risk of diabetes in Chinese adults, suggesting that TyG index may be a useful marker for identifying individuals at high risk of developing diabetes.

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