scholarly journals Diabetes Screening With Hemoglobin A1c Versus Fasting Plasma Glucose in a Multiethnic Middle-School Cohort

Diabetes Care ◽  
2012 ◽  
Vol 36 (2) ◽  
pp. 429-435 ◽  
Author(s):  
J. B. Buse ◽  
F. R. Kaufman ◽  
B. Linder ◽  
K. Hirst ◽  
L. El ghormli ◽  
...  
Keyword(s):  
Middle School ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Hemoglobin A1c ◽  
Diabetes Screening ◽  
Fasting Plasma

A Significance Assessment of Diabetes Diagnostic Biomarkers Using Machine Learning

2021 ◽  
Author(s):  
Ran Cui ◽  
Elena Daskalaki ◽  
Md Zakir Hossain ◽  
Artem Lenskiy ◽  
Christopher J Nolan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Hemoglobin A1c ◽  
Diagnostic Algorithm ◽  
Fasting Insulin ◽  
Blood Biomarkers ◽  
Diagnostic Biomarkers ◽  
Fasting Plasma

Diabetes can be diagnosed by either Fasting Plasma Glucose or Hemoglobin A1c. The aim of our study was to explore the differences between the two criteria through the development of a machine learning based diabetes diagnostic algorithm and analysing the predictive contribution of each input biomarker. Our study concludes that fasting insulin is predictive of diabetes defined by FPG, but not by HbA1c. Besides, 28 other fasting blood biomarkers were not significant predictors of diabetes.

Use of high-normal levels of haemoglobin A1Cand fasting plasma glucose for diabetes screening and for prediction: a meta-analysis

2013 ◽  
Vol 29 (8) ◽  
pp. 680-692 ◽  
Author(s):  
Satoru Kodama ◽  
Chika Horikawa ◽  
Kazuya Fujihara ◽  
Reiko Hirasawa ◽  
Yoko Yachi ◽  
...  
Keyword(s):  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Meta Analysis ◽  
Diabetes Screening ◽  
Fasting Plasma

scholarly journals Noninvasive Type 2 Diabetes Screening: Superior sensitivity to fasting plasma glucose and A1C

Diabetes Care ◽  
2007 ◽  
Vol 30 (5) ◽  
pp. 1120-1124 ◽  
Author(s):  
J. D. Maynard ◽  
M. Rohrscheib ◽  
J. F. Way ◽  
C. M. Nguyen ◽  
M. N. Ediger
Keyword(s):  
Type 2 Diabetes ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Diabetes Screening ◽  
Fasting Plasma

scholarly journals Prevalence of prediabetes according to hemoglobin A1c versus fasting plasma glucose criteria in healthy adults

2014 ◽  
Vol 52 (3) ◽  
pp. 631-632 ◽  
Author(s):  
Jonas Blum ◽  
Stefanie Aeschbacher ◽  
Tobias Schoen ◽  
Matthias Bossard ◽  
Katrin Pumpol ◽  
...  
Keyword(s):  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Hemoglobin A1c ◽  
Healthy Adults ◽  
Fasting Plasma

scholarly journals Use of Hemoglobin A1c and Fasting Plasma Glucose to Diagnose Type 2 Diabetes in the Real World

2012 ◽  
Vol 6 (3) ◽  
pp. 721-722
Author(s):  
B. Shivananda Nayak ◽  
Kameel Mungrue ◽  
Shawn Seepersad ◽  
Justin Sookram ◽  
Shalina Singh ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Plasma Glucose ◽  
Real World ◽  
Fasting Plasma Glucose ◽  
Hemoglobin A1c ◽  
The Real ◽  
Fasting Plasma

scholarly journals Dissociation of serum fructosamine from fasting plasma glucose or hemoglobin A1c in diabetics.

1990 ◽  
Vol 29 (2) ◽  
pp. 132-137 ◽  
Author(s):  
Hiroshi SOBAJIMA ◽  
Masahiko SHIKANO ◽  
Makoto TANIKAWA ◽  
Toyoo Niwa ◽  
Tetsuo HAYAKAWA
Keyword(s):  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Hemoglobin A1c ◽  
Fasting Plasma ◽  
Serum Fructosamine

Prevalence and risk factors of undiagnosed diabetes mellitus among gastroenterological patients: a HbA1c-based single center experience

2021 ◽  
Author(s):  
Thorben Fründt ◽  
Niko Schröder ◽  
Angelique Hölzemer ◽  
Hans Pinnschmidt ◽  
Jocelyn de Heer ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Liver Cirrhosis ◽  
Risk Factor ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Medication Use ◽  
Undiagnosed Diabetes ◽  
Diabetes Screening ◽  
Fasting Plasma

Abstract Background Diabetes mellitus is a major risk factor for microvascular disease, leading to chronic kidney injury or cardiovascular disease, but there is a tremendous proportion of patients worldwide who suffer from undiagnosed diabetes. Until now, little is known about the prevalence of undiagnosed diabetes in gastroenterology inpatients. Objective To improve detection of undiagnosed diabetes, a routine screening procedure for gastroenterology inpatients, based on hemoglobin A1c (HbA1c) and fasting plasma glucose (FPG) measurement, was established. Methods We conducted a retrospective analysis of the implemented diabetes screening. Diabetes mellitus was diagnosed according to the guideline of the German Diabetes Association in patients with an HbA1c of ≥6.5% anld/or fasting plasma glucose (FPG) ≥126 mg/dL. Univariate and multivariate analyses were performed to identify independent risk factors for undiagnosed diabetes. Results Within a 3-month period, 606 patients were eligible for a diabetes screening. Pre-existing diabetes was documented in 120 patients (19.8 %), undiagnosed diabetes was found in 24 (3.9%), and 162 patients (26.7%) met the definition for prediabetes. Steroid medication use, age, and liver cirrhosis due to primary sclerosing cholangitis (PSC) were identified as risk factors for undiagnosed diabetes. Conclusion The prevalence of undiagnosed diabetes in gastroenterology inpatients is markedly elevated in comparison to the general population, and a substantial number of inpatients are in a prediabetic status, underlining the need for diabetes screening. In addition to previously described risk factors of patient age and steroid medication use, we identified PSC-related liver cirrhosis (but not liver cirrhosis due to another etiology) as an independent risk factor for undiagnosed diabetes.

scholarly journals Use of hemoglobin A1C to detect Haitian-Americans with undiagnosed Type 2 diabetes

2012 ◽  
Vol 56 (7) ◽  
pp. 449-455 ◽  
Author(s):  
Joel C. Exebio ◽  
Gustavo G. Zarini ◽  
Joan A. Vaccaro ◽  
Cristobal Exebio ◽  
Fatma G. Huffman
Keyword(s):  
Type 2 Diabetes ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Roc Analysis ◽  
Hemoglobin A1c ◽  
Cutoff Point ◽  
Operating Characteristics ◽  
Fasting Plasma ◽  
Haitian Americans

OBJECTIVE: To evaluate the validity of hemoglobin A1C (A1C) as a diagnostic tool for type 2 diabetes and to determine the most appropriate A1C cutoff point for diagnosis in a sample of Haitian-Americans. SUBJECTS AND METHODS: Subjects (n = 128) were recruited from Miami-Dade and Broward counties, FL. Receiver operating characteristics (ROC) analysis was run in order to measure sensitivity and specificity of A1C for detecting diabetes at different cutoff points. RESULTS: The area under the ROC curve was 0.86 using fasting plasma glucose ≥ 7.0 mmol/L as the gold standard. An A1C cutoff point of 6.26% had sensitivity of 80% and specificity of 74%, whereas an A1C cutoff point of 6.50% (recommended by the American Diabetes Association - ADA) had sensitivity of 73% and specificity of 89%. CONCLUSIONS: A1C is a reliable alternative to fasting plasma glucose in detecting diabetes in this sample of Haitian-Americans. A cutoff point of 6.26% was the optimum value to detect type 2 diabetes.

scholarly journals Usefulness of the index calculated as the product of levels of fasting plasma glucose and hemoglobin A1c for insulinoma screening

2020 ◽  
Vol 67 (5) ◽  
pp. 509-513 ◽  
Author(s):  
Keiichi Torimoto ◽  
Yosuke Okada ◽  
Yoshiya Tanaka ◽  
Atsuko Matsuoka ◽  
Yushi Hirota ◽  
...  
Keyword(s):  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Hemoglobin A1c ◽  
Fasting Plasma
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