Literature DB >> 19410162

Identification and treatment of prediabetes to prevent progression to type 2 diabetes.

Vivian A Fonseca1.   

Abstract

Overt type 2 diabetes is usually preceded by a condition known as prediabetes, which is characterized by impaired fasting glucose (IFG) and impaired glucose tolerance (IGT). Both IFG and IGT exhibit elevated glucose levels that are not sufficient to be classified as diabetes but that represent the development of insulin resistance. Achieving glycemic control in patients with prediabetes through lifestyle and pharmacologic interventions can effectively prevent or delay the development of diabetes and its associated complications. The first step, however, is to identify patients at risk. Although patients can be identified with an oral glucose tolerance test (OGTT) or a fasting plasma glucose (FPG) screening, a normal FPG does not preclude an elevated OGTT and, therefore, the presence of prediabetes. For patients who progress to type 2 diabetes, intensive therapy aimed at reducing and maintaining glycosylated hemoglobin (A1C) levels < 7% has been shown to reduce the risk of complications. An A1C level > or = 7% should signal the need to initiate or change therapy to achieve glycemic goals.

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Year:  2008        PMID: 19410162     DOI: 10.1016/s1098-3597(09)62039-1

Source DB:  PubMed          Journal:  Clin Cornerstone        ISSN: 1873-4480


  8 in total

1.  Elevated A1C is associated with impaired early-phase insulin secretion rather than insulin resistance in Koreans at high risk for developing diabetes.

Authors:  Tae Nyun Kim; Man Sik Park; Seong Keon Lee; Sae Jeong Yang; Kwan Woo Lee; Moonsuk Nam; Moon Suk Nam; Yong Soo Park; Jeong-Taek Woo; Jeong Taek Woo; Young Seol Kim; Sei Hyun Baik
Journal:  Endocrine       Date:  2012-05-03       Impact factor: 3.633

2.  Diastolic dysfunction in prediabetic male rats: Role of mitochondrial oxidative stress.

Authors:  Gábor Koncsos; Zoltán V Varga; Tamás Baranyai; Kerstin Boengler; Susanne Rohrbach; Ling Li; Klaus-Dieter Schlüter; Rolf Schreckenberg; Tamás Radovits; Attila Oláh; Csaba Mátyás; Árpád Lux; Mahmoud Al-Khrasani; Tímea Komlódi; Nóra Bukosza; Domokos Máthé; László Deres; Monika Barteková; Tomáš Rajtík; Adriana Adameová; Krisztián Szigeti; Péter Hamar; Zsuzsanna Helyes; László Tretter; Pál Pacher; Béla Merkely; Zoltán Giricz; Rainer Schulz; Péter Ferdinandy
Journal:  Am J Physiol Heart Circ Physiol       Date:  2016-08-12       Impact factor: 4.733

3.  Primary Care-Based Health Coaching for the Management of Prediabetes.

Authors:  Ryan P Sherman; Ishani Ganguli
Journal:  Am J Lifestyle Med       Date:  2017-04-11

Review 4.  Use of genomic panels to determine risk of developing type 2 diabetes in the general population: a targeted evidence-based review.

Authors:  Glenn E Palomaki; Stephanie Melillo; Michael Marrone; Michael P Douglas
Journal:  Genet Med       Date:  2013-03-14       Impact factor: 8.822

5.  Anthropometric variables accurately predict dual energy x-ray absorptiometric-derived body composition and can be used to screen for diabetes.

Authors:  Reza Yavari; Erin McEntee; Michael McEntee; Michael Brines
Journal:  PLoS One       Date:  2011-09-06       Impact factor: 3.240

6.  Markers of Sleep-Disordered Breathing and Prediabetes in US Adults.

Authors:  Omayma Alshaarawy; Srinivas Teppala; Anoop Shankar
Journal:  Int J Endocrinol       Date:  2012-07-05       Impact factor: 3.257

7.  Health Insurance Is Associated with Decreased Odds for Undiagnosed Prediabetes and Type 2 Diabetes in American Adults.

Authors:  Sean Mahoney; Adam Bradley; Logan Pitts; Stephanie Waletzko; Sheria G Robinson-Lane; Timothy Fairchild; Donna J Terbizan; Ryan McGrath
Journal:  Int J Environ Res Public Health       Date:  2020-06-30       Impact factor: 3.390

8.  Does the intramuscular injection of vitamin D increase insulin resistance?

Authors:  Bijan Iraj; Ashraf Aminorroaya; Massoud Amini
Journal:  J Res Pharm Pract       Date:  2012-10
  8 in total

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