A simple way to estimate mean plasma glucose and to identify Type 2 diabetic subjects with poor glycaemic control when a standardized HbA1c assay is not available

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dc.contributor.authorOzmen, S.
dc.contributor.authorCil, T.
dc.contributor.authorAtay, A. E.
dc.contributor.authorTuzcu, A. K.
dc.contributor.authorBahceci, M.
dc.date.accessioned2024-04-24T17:11:34Z
dc.date.available2024-04-24T17:11:34Z
dc.date.issued2006
dc.departmentDicle Üniversitesien_US
dc.description.abstractAims To evaluate the relationship between HbA(1c) and fasting plasma glucose (FPG) and postprandial plasma glucose (PPG) levels, and to estimate the mean plasma glucose (mPG) derived from FPG and PPG that would predict Type 2 diabetic subjects with poor glycaemic control. Methods FPG, PPG and HbA(1c) values from 565 Type 2 diabetic patients (247 men and 318 women) were recorded. Linear regression analysis and Pearson's correlation was used to determine the relationship between HbA(1c), FPG and PPG. FPG and PPG were included as explanatory variables of HbA(1c) in linear regression analysis. Results The American Diabetes Association's objective of achieving an HbA(1c) level < 7.0% was obtained in 26.2% of the patients. The coefficients of FPG and PPG which determined HbA(1c) were similar. Therefore, mPG was calculated using the equation (FPG + PPG)/2. Pearson's correlation coefficient for HbA(1c) and FPG, PPG and mPG were 0.723 (P < 0.0001), 0.734 and 0.761 (P < 0.0001), respectively. A mPG cut-off value of 10 mmol/l predicted an HbA(1c) > 7% in the whole population, with a sensitivity of 84.2% and specificity of 80.4%. The area was high (0.90) in receiver-operating characteristic (ROC) curve analysis performed to examine the performance of mPG to predict HbA(1c) > 7%. Conclusions The mPG derived from FPG and PPG correlates strongly with HbA(1c). We therefore suggest that using a cut-off of 10 mmol/l for mPG may be appropriate in diabetes management in the primary-care setting, where most management of Type 2 diabetes occurs.en_US
dc.identifier.doi10.1111/j.1464-5491.2006.01927.x
dc.identifier.endpage1154en_US
dc.identifier.issn0742-3071
dc.identifier.issn1464-5491
dc.identifier.issue10en_US
dc.identifier.pmid16978383
dc.identifier.scopus2-s2.0-33748749875
dc.identifier.scopusqualityQ1
dc.identifier.startpage1151en_US
dc.identifier.urihttps://doi.org/10.1111/j.1464-5491.2006.01927.x
dc.identifier.urihttps://hdl.handle.net/11468/17611
dc.identifier.volume23en_US
dc.identifier.wosWOS:000240526300018
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofDiabetic Medicine
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFasting Glucoseen_US
dc.subjectHba(1c)en_US
dc.subjectMean Plasma Glucoseen_US
dc.subjectPostprandial Glucoseen_US
dc.titleA simple way to estimate mean plasma glucose and to identify Type 2 diabetic subjects with poor glycaemic control when a standardized HbA1c assay is not availableen_US
dc.titleA simple way to estimate mean plasma glucose and to identify Type 2 diabetic subjects with poor glycaemic control when a standardized HbA1c assay is not available
dc.typeArticleen_US

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