Literature DB >> 12414910

Neither homeostasis model assessment nor quantitative insulin sensitivity check index can predict insulin resistance in elderly patients with poorly controlled type 2 diabetes mellitus.

Akira Katsuki1, Yasuhiro Sumida, Hideki Urakawa, Esteban C Gabazza, Shuichi Murashima, Kohei Morioka, Nagako Kitagawa, Takashi Tanaka, Rika Araki-Sasaki, Yasuko Hori, Kaname Nakatani, Yutaka Yano, Yukihiko Adachi.   

Abstract

To clarify whether homeostasis model assessment (HOMA IR) and quantitative insulin sensitivity check index (QUICKI) may be indicators of insulin resistance in elderly patients with type 2 diabetes mellitus, their relationship with the glucose infusion rate during the euglycemic hyperinsulinemic clamp study (clamp IR) was assessed. This study comprised 56 Japanese patients with type 2 diabetes mellitus; of these, 28 were 70 yr of age or older (group 1) and 28 were less than 70 yr of age (group 2). Their blood sugars were in poor control (fasting plasma glucose levels: group 1, 9.0 +/- 2.6 mmol/liter; group 2, 8.9 +/- 2.3 mmol/liter; hemoglobin A1c: group 1, 9.5 +/- 2.0%; group 2, 9.2 +/- 1.7%). Log-transformed HOMA IR was significantly correlated with the clamp IR in group 2 patients (r = -0.51, P < 0.01), but not in group 1 patients (r = -0.28, P = 0.15). There was a significant positive correlation between QUICKI and clamp IR in group 2 patients (r = 0.50, P < 0.01). However, no significant correlation was observed between QUICKI and clamp IR in group 1 patients (r = 0.31, P = 0.12). There was a significant correlation between log-transformed HOMA IR (r = -0.37, P < 0.01) or QUICKI (r = 0.37, P < 0.01) and clamp IR when both groups were combined. In conclusion, neither HOMA IR nor QUICKI should be used as an index of insulin resistance in elderly patients with poorly controlled type 2 diabetes mellitus. The results of this study suggest the need for developing a new noninvasive method for evaluating insulin resistance in those patients.

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Year:  2002        PMID: 12414910     DOI: 10.1210/jc.2002-020486

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  9 in total

1.  To: Wannamethee SG, Lowe GDO, Shaper AG, Rumley A, Lennon L, Whincup PH (2004) Insulin resistance, haemostatic and inflammatory markers and coronary heart disease risk factors in Type 2 diabetic men with and without coronary heart disease. Diabetologia 47:1557-1565.

Authors:  F L Fimognari; R Pastorelli; R A Incalzi
Journal:  Diabetologia       Date:  2005-06-03       Impact factor: 10.122

2.  Adiponectin-leptin ratio: a useful estimate of insulin resistance in patients with Type 2 diabetes.

Authors:  J Zaletel; D Pongrac Barlovic; J Prezelj
Journal:  J Endocrinol Invest       Date:  2010-02-05       Impact factor: 4.256

Review 3.  The Use and Effectiveness of Selected Alternative Markers for Insulin Sensitivity and Secretion Compared with Gold Standard Markers in Dietary Intervention Studies in Individuals without Diabetes: Results of a Systematic Review.

Authors:  Lucia Vazquez Rocha; Ian Macdonald; Marjan Alssema; Kristine Færch
Journal:  Nutrients       Date:  2022-05-12       Impact factor: 6.706

4.  OGTT-derived measures of insulin sensitivity are confounded by factors other than insulin sensitivity itself.

Authors:  Katrin Hücking; Richard M Watanabe; Darko Stefanovski; Richard N Bergman
Journal:  Obesity (Silver Spring)       Date:  2008-07-10       Impact factor: 5.002

5.  High-sensitivity C-reactive protein is an independent clinical feature of nonalcoholic steatohepatitis (NASH) and also of the severity of fibrosis in NASH.

Authors:  Masato Yoneda; Hironori Mawatari; Koji Fujita; Hiroshi Iida; Kyoko Yonemitsu; Shingo Kato; Hirokazu Takahashi; Hiroyuki Kirikoshi; Masahiko Inamori; Yuichi Nozaki; Yasunobu Abe; Kensuke Kubota; Satoru Saito; Tomoyuki Iwasaki; Yasuo Terauchi; Shinji Togo; Shiro Maeyama; Atsushi Nakajima
Journal:  J Gastroenterol       Date:  2007-07-25       Impact factor: 7.527

6.  Relationship between markers of insulin resistance, markers of adiposity, HbA1c, and cognitive functions in a middle-aged population-based sample: the MONA LISA study.

Authors:  Caroline M Sanz; Jean-Bernard Ruidavets; Vanina Bongard; Jean-Claude Marquié; Hélène Hanaire; Jean Ferrières; Sandrine Andrieu
Journal:  Diabetes Care       Date:  2012-12-28       Impact factor: 19.112

Review 7.  Selection of the appropriate method for the assessment of insulin resistance.

Authors:  Anwar Borai; Callum Livingstone; Ibrahim Kaddam; Gordon Ferns
Journal:  BMC Med Res Methodol       Date:  2011-11-23       Impact factor: 4.615

8.  Isolated systolic hypertension and insulin resistance assessment tools in young and middle-aged Chinese men with normal fasting glucose: a cross-sectional study.

Authors:  Qing Gu; Jian Meng; Xue Hu; Jun Ge; Sui Jun Wang; Xing Zhen Liu
Journal:  Sci Rep       Date:  2022-01-14       Impact factor: 4.379

9.  Oral Limonite Supplement Ameliorates Glucose Intolerance in Diabetic and Obese Mice.

Authors:  Akihiro Uchida; Taro Yasuma; Atsuro Takeshita; Masaaki Toda; Yuko Okano; Kota Nishihama; Corina N D'Alessandro-Gabazza; Valeria Fridman D'Alessandro; Chisa Inoue; Takehiro Takagi; Hiroyuki Mukaiyama; Norio Takagi; Katsumi Shimizu; Yutaka Yano; Esteban C Gabazza
Journal:  J Inflamm Res       Date:  2021-07-09
  9 in total

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