Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The diagnostic value of glycated albumin in gestational diabetes mellitus.

ABSTRACT:

Purpose

Our objective was to compare the diagnostic performance of glycated hemoglobin (HbA1c), GA, and fasting plasma glucose (FPG) for the diagnosis of GDM.

Methods

Women at their late second or early third trimesters seen from October 2011 to April 2012 were studied. GDM was diagnosed based on oral glucose tolerance test results, and GA and HbA1c were measured at the same time. Patients were divided into two groups (with and without GDM), and areas under the receiver-operating characteristic curves (AUCs) were calculated to determine the diagnostic value of FPG, GA, and HbA1c.

Results

A total of 698 women were included, of which 232 (33.2%) had GDM. Overall, FPG had the highest AUC for the detection of GDM, and was significantly higher than that of GA (0.692 vs. 0.568, p?ConclusionsThese results do not support the use of GA as a screening tool for GDM.

SUBMITTER: Zhu J

PROVIDER: S-EPMC5754373 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

The diagnostic value of glycated albumin in gestational diabetes mellitus.

Zhu Jieping J Chen Yu Y Li Changbin C Tao Minfang M Teng Yincheng Y

Journal of endocrinological investigation 20170606 1

<h4>Purpose</h4>Our objective was to compare the diagnostic performance of glycated hemoglobin (HbA1c), GA, and fasting plasma glucose (FPG) for the diagnosis of GDM.<h4>Methods</h4>Women at their late second or early third trimesters seen from October 2011 to April 2012 were studied. GDM was diagnosed based on oral glucose tolerance test results, and GA and HbA1c were measured at the same time. Patients were divided into two groups (with and without GDM), and areas under the receiver-operating ...[more]

PMID: 28589381

Similar Datasets

Association between glycemic control and birthweight with glycated albumin in Chinese women with gestational diabetes mellitus.

Project description:To assess glycated albumin (GA) as a potential glycemic index in managing gestational diabetes mellitus (GDM).Eligible pregnant women were divided into the GDM group with abnormal result on a 75-g oral glucose tolerance test (OGTT) and the control (normal) group. GA measurements, Pearson's correlation analysis, multiple logistic regression and receiver operating characteristic curve analysis were obtained at the follow-up examination of participants in the two groups.A total of 2,118 women were assigned to the GDM group (n = 639) and control group (n = 1,479). The mean level of serum GA in GDM group was significantly greater than that in the control group at both 24-28 and 36-38 weeks of gestation (P < 0.05). The area under the receiver operating characteristic curve for GA defining good glycemic control in GDM was 0.874 (95% confidence interval 0.811-0.938). The cut-off point for the GA levels derived from the receiver operating characteristic curve was 11.60%, which had sensitivity and specificity for detecting a poor glycemic status of 75.93% and 86.36%, respectively. The risk of birthweight ≥3,500 g and macrosomia increased significantly with GA levels ≥13.00% at 24-28 weeks and ≥12.00% at 36-38 weeks of gestation.GA might be an appropriate and conveniently measured index that can detect poor glycemic control and predict birthweights in GDM women.

| S-EPMC4718110 | biostudies-other

Serum Glycated Albumin to Guide the Diagnosis of Diabetes Mellitus.

Project description:In the diagnosis of diabetes mellitus, hemoglobin A1c (HbA1c) is sometimes measured to determine the need of an oral glucose tolerance test (OGTT). However, HbA1c does not accurately reflect glycemic status in certain conditions. This study was performed to test the possibility that measurement of serum glycated albumin (GA) better assesses the need for OGTT. From 2006 to 2012, 1559 subjects not known to have diabetes or to use anti-diabetic medications were enrolled. Serum GA was measured, and a 75-g OGTT was then performed to diagnose diabetes. Serum GA correlated significantly to age (r = 0.27, p<0.001), serum albumin (r = -0.1179, age-adjusted p = 0.001), body mass index (r = -0.24, age-adjusted p<0.001), waist circumference (r = -0.16, age-adjusted p<0.001), and plasma GA (r = 0.999, p<0.001), but was unaffected by diet (p = 0.8). Using serum GA at 15% for diagnosis of diabetes, the sensitivity, specificity, and area under the receiver-operating characteristic curve were 74%, 85%, and 0.86, respectively. Applying a fasting plasma glucose (FPG) value of < 100 mg/dL to exclude diabetes and of ? 126 mg/dL to diagnose diabetes, 14.4% of the study population require an OGTT (OGTT%) with a sensitivity of 78.8% and a specificity of 100%. When serum GA value of 14% and 17% were used to exclude and diagnose diabetes, respectively, the sensitivity improved to 83.3%, with a slightly decrease in specificity (98.2%), but a significant increase in OGTT% (35%). Using combined FPG and serum GA cutoff values (FPG < 100 mg/dL plus serum GA < 15% to exclude diabetes and FPG ? 126 mg/dL or serum GA ? 17% to diagnose diabetes), the OGTT% was reduced to 22.5% and the sensitivity increased to 85.6% with no change in specificity (98.2%). In the diagnosis of diabetes, serum GA measurements can be used to determine the need of an OGTT.

| S-EPMC4713060 | biostudies-literature

Diagnostic value of candidate noncoding RNAs in leukocytes of patients with gestational diabetes mellitus.

Project description:Noncoding RNAs (ncRNAs) are involved in the pathological processes of various diseases. The aim of the present study was to verify the expression levels and the diagnostic value of two candidate ncRNAs in the blood leukocytes of patients with gestational diabetes mellitus (GDM) compared to healthy controls. The long ncRNA paired box 8 antisense 1 (Pax8-AS1) and the microRNA miR-4646 were selected, which were identified to be associated with GDM by bioinformatics analysis of a dataset from the Gene Expression Omnibus GEO database. By using reverse transcription-quantitative PCR, the expression levels of Pax8-AS1 and miR-4646 were analysed in leukocytes of patients with GDM (n=35) and normal pregnant females (n=35). The results indicated a significant decrease in the expression levels of both Pax8-AS1 and miR-4646 in patients with GDM as compared with those in the healthy controls. In the second trimester, a strong negative correlation between Pax8-AS1/miR-4646 and 2-h glucose levels was detected in patients with GDM. Receiver operating characteristic curve analysis indicated that the levels of Pax8-AS1 and miR-4646 in the second trimester of pregnancy had a significant diagnostic value with high selectivity and specificity for GDM (area under the curve values, 0.902 and 0.891, respectively; P<0.001). Overall, the present study suggested that Pax8-AS1 and miR-4646 may serve as promising diagnostic biomarkers for GDM.

| S-EPMC7791915 | biostudies-literature

High Glycated Albumin and Mortality in Persons with Diabetes Mellitus on Hemodialysis.

Project description:BACKGROUND:Monitoring of glycemic control with hemoglobin A1c (A1c) in hemodialysis patients may be compromised by anemia and erythropoietin therapy. Glycated albumin (GA) is an alternative measure of glycemic control but is not commonly used because of insufficient evidence of association to clinical outcomes. We tested whether GA measurements were associated with mortality in hemodialysis patients with diabetes mellitus. METHODS:The German Diabetes and Dialysis Study (4D) investigated effects of atorvastatin on survival in 1255 patients with diabetes mellitus receiving hemodialysis. We measured GA during months 0, 6, and 12. Cox proportional hazards analysis was used to measure associations between GA and A1c and all-cause mortality. RESULTS:Patients with high baseline GA (fourth quartile) had a 42% higher 4-year mortality compared to those in the first quartile (HR 1.42; 95% CI, 1.09-1.85, P = 0.009). Repeated measurements of GA during year one also demonstrated that individuals in the top quartile for GA (analyzed as a time-varying covariate) had a 39% higher 4-year mortality (HR 1.39; 95% CI, 1.05-1.85, P = 0.022). The associations between high A1c and mortality using similar analyses were less consistent; mortality in individuals with baseline A1c values in the 3rd quartile was increased compared to 1st quartile (HR 1.36; 95% CI, 1.04-1.77, P = 0.023), but risk was not significantly increased in the 2nd or 4th quartiles, and there was a less consistent association between time-varying A1c values and mortality. CONCLUSIONS:High GA measurements are consistently associated with increased mortality in patients with diabetes mellitus on hemodialysis.

| S-EPMC5484581 | biostudies-literature

Diagnostic value of dysregulated microribonucleic acids in the placenta and circulating exosomes in gestational diabetes mellitus.

Project description:Aims/introductionDifferentially expressed microribonucleic acids (miRNAs) in the placenta and circulating exosomes are of diagnostic value for gestational diabetes mellitus (GDM). In a cross-sectional study, we identified miRNAs expressed both in the placenta and circulating exosomes of pregnant women with GDM, and estimated their diagnostic value.Materials and methodsNext-generation sequencing was used to identify miRNAs in the placenta that were differentially expressed between GDM and normal glucose tolerance pregnancies. Quantitative polymerase chain reaction was used to validate the identified targets. Western blot and transmission electron microscopy were used to validate exosomes. Univariate logistic regression analysis was used to establish diagnostic models based on miRNAs expression, and the diagnostic value was estimated using the receiver operator characteristic curve.ResultsWe identified 157 dysregulated miRNAs in the placental tissue obtained from GDM pregnancies. Of these, miRNA-125b was downregulated (P < 0.001), whereas miRNA-144 was upregulated (P < 0.001). The patterns of these two miRNAs remained the same in circulating exosomes from GDM pregnancies (all P < 0.001). miRNA-144 levels in the circulating exosomes negatively correlated with body mass index both before pregnancy (P = 0.018) and before delivery (P = 0.039), and positively correlated with blood glucose at 1 h, estimated using the oral glucose tolerance test (P = 0.044). The area under curve for the established diagnostic model was 0.898, which was higher than blood glucose levels at 0 h.ConclusionsThese findings suggest that miRNA-125b and miRNA-144 are consistently dysregulated in circulating exosomes and the placenta from GDM pregnancies, and are of excellent diagnostic value for GDM.

| S-EPMC8354507 | biostudies-literature

Glycated albumin as a diagnostic tool in diabetes: An alternative or an additional test?

Project description:INTRODUCTION:Studies have revealed that glycated albumin (GA) is a useful alternative to HbA1c under conditions wherein the latter does not reflect glycaemic status accurately. Until now, there are few studies with non-Asians subjects that report on the validity of GA test in diagnosis of type 2 diabetes mellitus (DM). Thus, the aim of this study was to assess the clinical utility of GA in diagnosis of DM. MATERIALS AND METHODS:This diagnostic test accuracy study was performed in 242 Brazilian individuals referred for OGTT in a tertiary university hospital. ROC curves were used to access the performance of GA and HbA1c in the diagnosis of DM by oral glucose tolerance test (OGTT). RESULTS:OGTT, HbA1c and GA were performed in all 242 participants (40.5% male, age 54.4 ± 13.0 years [mean ± SD], body mass index 28.9 ± 6.3 kg/m2). DM by OGTT was detected in 31.8% of individuals. The equilibrium threshold value of GA ?14.8% showed sensitivity of 64.9% and specificity of 65.5% for the diagnosis of DM. The AUC for GA [0.703 (95% CI 0.631-0.775)] was lower than for HbA1c [0.802 (95% CI 0.740-0.864)], p = 0.028. A GA value of 16.8% had similar accuracy for detecting DM as defined by HbA1c ?6.5% (48 mmol/mol) with sensitivity of 31.2% and specificity of 93.3% for both tests. However, GA detects different subjects from those detected by HbA1c and OGTT. CONCLUSIONS:GA detected different individuals with DM from those detected by HbA1c, though it showed overall diagnostic accuracy similar to HbA1c in the diagnosis of DM. Therefore, GA should be used as an additional test rather than an alternative to HbA1c or OGTT and its use as the sole DM diagnostic test should be interpreted with caution.

| S-EPMC6938306 | biostudies-literature

Methylglyoxal, Glycated Albumin, PAF, and TNF-?: Possible Inflammatory and Metabolic Biomarkers for Management of Gestational Diabetes.

Project description:BACKGROUND:In gestational diabetes mellitus (GDM), pancreatic ?-cell breakdown can result from a proinflammatory imbalance created by a sustained level of cytokines. In this study, we investigated the role of specific cytokines, such as B-cell activating factor (BAFF), tumor necrosis factor ? (TNF-?), and platelet-activating factor (PAF), together with methylglyoxal (MGO) and glycated albumin (GA) in pregnant women affected by GDM. METHODS:We enrolled 30 women whose inflammation and metabolic markers were measured at recruitment and after 12 weeks of strict dietetic therapy. We compared these data to the data obtained from 53 randomly selected healthy nonpregnant subjects without diabetes, hyperglycemia, or any condition that can affect glycemic metabolism. RESULTS:In pregnant women affected by GDM, PAF levels increased from 26.3 (17.4-47.5) ng/mL to 40.1 (30.5-80.5) ng/mL (p < 0.001). Their TNF-? levels increased from 3.0 (2.8-3.5) pg/mL to 3.4 (3.1-5.8) pg/mL (p < 0.001). The levels of methylglyoxal were significantly higher in the women with GDM (p < 0.001), both at diagnosis and after 12 weeks (0.64 (0.46-0.90) ?g/mL; 0.71 (0.47-0.93) ?g/mL, respectively) compared to general population (0.25 (0.19-0.28) ?g/mL). Levels of glycated albumin were significantly higher in women with GDM (p < 0.001) only after 12 weeks from diagnosis (1.51 (0.88-2.03) nmol/mL) compared to general population (0.95 (0.63-1.4) nmol/mL). CONCLUSION:These findings support the involvement of new inflammatory and metabolic biomarkers in the mechanisms related to GDM complications and prompt deeper exploration into the vicious cycle connecting inflammation, oxidative stress, and metabolic results.

| S-EPMC7071306 | biostudies-literature

Circulating miRNAs for gestational diabetes mellitus

Project description:We compared the plasma miRNA expression profiles between healthy and GDM women by microarray analysis.Our study offers new insights into circulating biomarkers of GDM and thus provides a valuable resource for future investigations.

2017-04-22 | GSE98043 | GEO

The diagnostic model for early detection of gestational diabetes mellitus and gestational diabetic nephropathy.

Project description:BackgroundGestational diabetes mellitus (GDM) and gestational diabetic nephropathy (GDN) have become an increasingly serious problem worldwide, which can cause a large number of adverse pregnancy consequences for mothers and infants. However, the diagnosis of GDM and GDN remains a challenge due to the lack of optimal biomarkers, and the examination has high requirements for patient compliance. We aimed to establish a simple early diagnostic model for GDM and GDN.MethodsWe recruited 50 healthy pregnant (HP), 99 GDM patients, 99 GDN patients at Daping Hospital. Renal function indicators and blood cell indicators were collected for all patients.ResultsCompared with HP, GDM, and GDN patients exhibited significantly higher urea/creatinine ratio and NEU. The diagnostic model1 based on the combination of urea/creatinine ratio and NEU was built using logistic regression. Based on receiver operating characteristic curve analysis, the area under the curve (AUC) of the diagnostic model was 0.77 (0.7, 0.84) in distinguishing GDM from HP, and the AUC of the diagnostic model was 0.94 (0.9, 0.97) in distinguishing GDN from HP. Meanwhile, the diagnostic model2 based on the combination of β2-mG, PLT, and NEU in GDM and GDN patients was built using logistic regression, and the area under the ROC curve (AUC ROC) was 0.79 (0.73, 0.85), which was larger than the individual biomarker AUC.ConclusionOur study demonstrated that the diagnostic model established by the combination of renal function indicators and blood cell indicators could facilitate the differential diagnosis of GDM and GDN patients.

| S-EPMC9459296 | biostudies-literature

Development of Multimarker Diagnostic Models from Metabolomics Analysis for Gestational Diabetes Mellitus (GDM).

Project description:Although metabolomics are desirable to understand the pathophysiology of gestational diabetes mellitus (GDM), comprehensive metabolomic studies of GDM are rare. We aimed to offer a holistic view of metabolites alteration in GDM patients and investigate the possible multimarker models for GDM diagnosis. Biochemical parameters and perinatal data of 131 GDM cases and 138 controls were collected. Fasting serum samples at 75 g oral glucose tolerance test were used for metabolites by ultra performance liquid chromatography-quadrupole-time of flight-mass spectrometry, ultra performance liquid chromatography-triple triple-quadrupole-mass spectrometry and gas chromatography- time-of- flight mass spectrometry platforms. Significant changes were observed in free fatty acids, bile acids, branched chain amino acids, organic acids, lipids and organooxygen compounds between two groups. In receiver operating characteristic (ROC) analysis, different combinations of candidate biomarkers and metabolites in multimarker models achieved satisfactory discriminative abilities for GDM, with the values of area under the curve (AUC) ranging from 0.721 to 0.751. Model consisting of body mass index (BMI), retinol binding protein 4 (RBP4), n-acetylaspartic acid and C16:1 (cis-7) manifested the best discrimination [AUC 0.751 (95% CI: 0.693-0.809), p < 0.001], followed by model consisting of BMI, Cystatin C, acetylaspartic acid and 6,7-diketoLCA [AUC 0.749 (95% CI: 0.691-0.808), p < 0.001]. Metabolites alteration reflected disorders of glucose metabolism, lipid metabolism, amino acid metabolism, bile acid metabolism as well as intestinal flora metabolism in GDM state. Multivariate models combining clinical markers and metabolites have the potential to differentiate GDM subjects from healthy controls.

| S-EPMC5836369 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data