Literature DB >> 24574348

Cardiovascular risk profile in subjects with prediabetes and new-onset type 2 diabetes identified by HbA(1c) according to American Diabetes Association criteria.

Antonino Di Pino1, Roberto Scicali, Salvatore Calanna, Francesca Urbano, Concetta Mantegna, Agata Maria Rabuazzo, Francesco Purrello, Salvatore Piro.   

Abstract

OBJECTIVE: We investigated the cardiovascular risk profile in subjects with prediabetes and new-onset type 2 diabetes identified by glycated hemoglobin A1c (HbA(1c)) according to the new American Diabetes Association criteria. RESEARCH DESIGN AND METHODS: Arterial stiffness, intima-media thickness (IMT), soluble receptor for advanced glycation end products (sRAGEs), and oral glucose tolerance test (OGTT) were evaluated in 274 subjects without a previous history of diabetes. The subjects were stratified into three groups according to the HbA(1c) levels.
RESULTS: The subjects with prediabetes (n = 117, HbA(1c) 5.7-6.4% [39-46 mmol/mol]) showed a higher augmentation (Aug), augmentation index (AugI), and IMT compared with those with lower HbA1c; however, these values were similar to those of subjects with HbA(1c) >6.5% (48 mmol/mol). When we further analyzed the subjects with prediabetes but included only subjects with normal glucose tolerance (NT) in the analysis, AugI and IMT still remained significantly higher than their levels in control subjects with HbA(1c) <5.7% (39 mmol/mol). After multiple regression analyses including several cardiovascular risk factors, only HbA(1c), age, and sRAGE were significantly correlated with the IMT, whereas age and 1-h postload glucose were the major determinants of AugI.
CONCLUSIONS: Our data show that subjects with prediabetes according to HbA1c, but with both NT according to the OGTT and normal fasting glycemia, have an altered IMT and AugI. These data suggest that a simple, reproducible, and less expensive marker such as HbA1c may be better able to identify prediabetic subjects at high cardiovascular risk compared with fasting glycemia or OGTT alone.

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Year:  2014        PMID: 24574348     DOI: 10.2337/dc13-2357

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  18 in total

Review 1.  Prediabetes and associated disorders.

Authors:  Martin Buysschaert; José Luís Medina; Michael Bergman; Avni Shah; Jaqueline Lonier
Journal:  Endocrine       Date:  2014-10-08       Impact factor: 3.633

2.  Increased Platelet Reactivity and Proinflammatory Profile Are Associated with Intima-Media Thickness and Arterial Stiffness in Prediabetes.

Authors:  Maurizio Di Marco; Francesca Urbano; Agnese Filippello; Stefania Di Mauro; Alessandra Scamporrino; Nicoletta Miano; Giuseppe Coppolino; Giuseppe L'Episcopo; Stefano Leggio; Roberto Scicali; Salvatore Piro; Francesco Purrello; Antonino Di Pino
Journal:  J Clin Med       Date:  2022-05-19       Impact factor: 4.964

3.  Pesticide Exposure in Relation to the Incidence of Abnormal Glucose Regulation: A Retrospective Cohort Study.

Authors:  Sung-Kyung Kim; Hyun-Jung Oh; Sung-Soo Oh; Sang-Baek Koh
Journal:  Int J Environ Res Public Health       Date:  2022-06-20       Impact factor: 4.614

4.  Relationship of Soluble RAGE with Insulin Resistance and Beta Cell Function during Development of Type 2 Diabetes Mellitus.

Authors:  Subrata Kumar Biswas; Sabreena Mohtarin; Sonchita Rani Mudi; Taznuva Anwar; Laila Anjuman Banu; Sheikh Md Khorshed Alam; Md Fariduddin; M Iqbal Arslan
Journal:  J Diabetes Res       Date:  2015-05-19       Impact factor: 4.011

5.  Individuals with prediabetes identified by HbA1c undergoing coronary angiography have worse cardiometabolic profile than those identified by fasting glucose.

Authors:  Valdecira M Piveta; Celia S Bittencourt; Carolina Sv Oliveira; Pedro Saddi-Rosa; Deyse M Meira; Fernando Ma Giuffrida; André F Reis
Journal:  Diabetol Metab Syndr       Date:  2014-12-13       Impact factor: 3.320

6.  Detection of abnormal glucose tolerance in Africans is improved by combining A1C with fasting glucose: the Africans in America Study.

Authors:  Anne E Sumner; Caroline K Thoreson; Michelle Y O'Connor; Madia Ricks; Stephanie T Chung; Marshall K Tulloch-Reid; Jay N Lozier; David B Sacks
Journal:  Diabetes Care       Date:  2014-10-22       Impact factor: 19.112

Review 7.  Update on pre-diabetes: Focus on diagnostic criteria and cardiovascular risk.

Authors:  Antonino Di Pino; Francesca Urbano; Salvatore Piro; Francesco Purrello; Agata Maria Rabuazzo
Journal:  World J Diabetes       Date:  2016-10-15

8.  The AGE-RAGE Axis and Its Relationship to Markers of Cardiovascular Disease in Newly Diagnosed Diabetic Patients.

Authors:  Ma Etzabel Villegas-Rodríguez; Jaime Uribarri; Sergio E Solorio-Meza; Martha E Fajardo-Araujo; Weijing Cai; Sofía Torres-Graciano; Rubén Rangel-Salazar; Kazimierz Wrobel; Ma Eugenia Garay-Sevilla
Journal:  PLoS One       Date:  2016-07-19       Impact factor: 3.240

9.  Evaluation of ADA HbA1c criteria in the diagnosis of pre-diabetes and diabetes in a population of Chinese adolescents and young adults at high risk for diabetes: a cross-sectional study.

Authors:  Ge Li; Lanwen Han; Ming Li; Shan Gao; Yonghui Wang; Yanglu Zhao; Yu Li; Junling Fu; Steven M Willi
Journal:  BMJ Open       Date:  2018-08-08       Impact factor: 2.692

10.  Relationship Between Glycated Haemoglobin and Carotid Atherosclerotic Disease Among Patients with Acute Ischaemic Stroke.

Authors:  Saima Nazish; Azra Zafar; Rizwana Shahid; Aishah Albakr; Fahd A Alkhamis; Danah Aljaafari; Majed Alabdali; Abdullah Alsulaiman; Faisal A Al-Mulla
Journal:  Sultan Qaboos Univ Med J       Date:  2018-12-19
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