Abstract:
OBJECTIVE:Hemoglobin A1c (A1C) has recently been recommended for diagnosing diabetes mellitus and diabetes risk (prediabetes). Its performance compared with fasting plasma glucose (FPG) and 2-h post-glucose load (2HPG) is not well delineated. We compared the performance of A1C with that of FPG and 2HPG in preoperative cardiac surgery patients. METHODS:Data from 92 patients without a history of diabetes were analyzed. Patients were classified with diabetes or prediabetes using established cutoffs for FPG, 2HPG, and A1C. Sensitivity and specificity of the new A1C criteria were evaluated. RESULTS:All patients diagnosed with diabetes by A1C also had impaired fasting glucose, impaired glucose tolerance, or diabetes by other criteria. Using FPG as the reference, sensitivity and specificity of A1C for diagnosing diabetes were 50% and 96%, and using 2HPG as the reference they were 25% and 95%. Sensitivity and specificity for identifying prediabetes with FPG as the reference were 51% and 51%, respectively, and with 2HPG were 53% and 51%, respectively. One-third each of patients with prediabetes was identified using FPG, A1C, or both. When testing A1C and FPG concurrently, the sensitivity of diagnosing dysglycemia increased to 93% stipulating one or both tests are abnormal; specificity increased to 100% if both tests were required to be abnormal. CONCLUSIONS:In patients before cardiac surgery, A1C criteria identified the largest number of patients with diabetes and prediabetes. For diagnosing prediabetes, A1C and FPG were discordant and characterized different groups of patients, therefore altering the distribution of diabetes risk. Simultaneous measurement of FGP and A1C may be a more sensitive and specific tool for identifying high-risk individuals with diabetes and prediabetes.
journal_name
Diabetes Technol Therjournal_title
Diabetes technology & therapeuticsauthors
Gianchandani RY,Saberi S,Zrull CA,Patil PV,Jha L,Kling-Colson SC,Gandia KG,DuBois EC,Plunkett CD,Bodnar TW,Pop-Busui Rdoi
10.1089/dia.2011.0074subject
Has Abstractpub_date
2011-12-01 00:00:00pages
1249-54issue
12eissn
1520-9156issn
1557-8593journal_volume
13pub_type
杂志文章abstract:AIMS:Recent advances in analytical technology allow the detection of several hundred volatile organic compounds (VOCs) in human exhaled air, many of which reflect unidentified endogenous pathways. This study was performed to determine whether a breath gas analysis using proton transfer reaction-mass spectrometry (PTR-M...
journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2009.0181
更新日期:2010-06-01 00:00:00
abstract:BACKGROUND:Continuous glucose monitoring (CGM) time-series are often analyzed, retrospectively, to investigate glucose variability (GV), a risk factor for the development of complications in type 1 diabetes (T1D). In the literature, several tens of different indices for GV quantification have been proposed, but many of...
journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章,meta分析
doi:10.1089/dia.2013.0252
更新日期:2014-10-01 00:00:00
abstract::The transplantation of microencapsulated islets may allow reversal of hyperglycemia in the absence of immunosuppression. Poly-L-lysine (PLL) on capsules may potentiate the fibrotic reaction against implanted capsules. The aims of this study were to investigate how the biocompatibility of such capsules affects their fu...
journal_title:Diabetes technology & therapeutics
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2012.0235
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2010.0128
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2009.0097
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章,随机对照试验
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2005.7.937
更新日期:2005-12-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章,多中心研究,随机对照试验
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2009.0066
更新日期:2009-11-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章,评审
doi:10.1089/dia.2006.8.677
更新日期:2006-12-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章,评审
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更新日期:2012-06-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2015.0011
更新日期:2015-08-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 临床试验,杂志文章
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2017.0416
更新日期:2018-05-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
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abstract::Hyperspectral imaging (HSI) has been useful in monitoring several medical conditions, which to date have generally involved local changes in skin oxygenation of isolated regions of interest such as skin flaps or small burns. Here, by contrast, we present a study in which HSI was used to assess the local cutaneous mani...
journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/152091503322527058
更新日期:2003-01-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
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journal_title:Diabetes technology & therapeutics
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更新日期:2018-09-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
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更新日期:2020-08-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2007.0248
更新日期:2007-12-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2009.0113
更新日期:2010-05-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2008.0057
更新日期:2009-04-01 00:00:00
abstract:BACKGROUND:There is no consensus as to the best method to assess glycemic variability from continuous glucose monitoring (CGM) data. Rate of change has been suggested as a preferred method of assessing glycemic variability, but this assertion has not been validated. METHODS:Forty-eight hours of CGM data were analyzed ...
journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章,多中心研究
doi:10.1089/dia.2010.0215
更新日期:2011-06-01 00:00:00
abstract:BACKGROUND:Applying real-time learning into an artificial pancreas system could effectively track the unpredictable behavior of glucose-insulin dynamics and adjust insulin treatment accordingly. We describe a novel learning algorithm and its performance when integrated into the MD-Logic Artificial Pancreas (MDLAP) syst...
journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2010.0216
更新日期:2011-10-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2010.0175
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2010.0203
更新日期:2011-06-01 00:00:00
abstract:BACKGROUND:Relatively little is known about parents' or children's attitudes toward recruitment for, and participation in, studies of new diabetes technologies immediately after diagnosis. This study investigated factors affecting recruitment of participants for studies in newly diagnosed youth with type 1 diabetes. M...
journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2016.0157
更新日期:2016-09-01 00:00:00