Skip to main content
Top
Published in: BMC Endocrine Disorders 1/2014

Open Access 01-12-2014 | Research article

Fasting insulin sensitivity indices are not better than routine clinical variables at predicting insulin sensitivity among Black Africans: a clamp study in sub-Saharan Africans

Authors: Eugene Sobngwi, Andre-Pascal Kengne, Justin B Echouffo-Tcheugui, Simeon Choukem, Joelle Sobngwi-Tambekou, Eric V Balti, Mark S Pearce, Valentin Siaha, Aissa S Mamdjokam, Valery Effoe, Eric Lontchi-Yimagou, Oliver T Donfack, Barbara Atogho-Tiedeu, Philippe Boudou, Jean-Francois Gautier, Jean-Claude Mbanya

Published in: BMC Endocrine Disorders | Issue 1/2014

Login to get access

Abstract

Background

We aimed to evaluate the predictive utility of common fasting insulin sensitivity indices, and non-laboratory surrogates [BMI, waist circumference (WC) and waist-to-height ratio (WHtR)] in sub-Saharan Africans without diabetes.

Methods

We measured fasting glucose and insulin, and glucose uptake during 80/mU/m2/min euglycemic clamp in 87 Cameroonians (51 men) aged (SD) 34.6 (11.4) years. We derived insulin sensitivity indices including HOMA-IR, quantitative insulin sensitivity check index (QUICKI), fasting insulin resistance index (FIRI) and glucose-to-insulin ratio (GIR). Indices and clinical predictors were compared to clamp using correlation tests, robust linear regressions and agreement of classification by sex-specific thirds.

Results

The mean insulin sensitivity was M = 10.5 ± 3.2 mg/kg/min. Classification across thirds of insulin sensitivity by clamp matched with non-laboratory surrogates in 30-48% of participants, and with fasting indices in 27-51%, with kappa statistics ranging from −0.10 to 0.26. Fasting indices correlated significantly with clamp (/r/=0.23-0.30), with GIR performing less well than fasting insulin and HOMA-IR (both p < 0.02). BMI, WC and WHtR were equal or superior to fasting indices (/r/=0.38-0.43). Combinations of fasting indices and clinical predictors explained 25-27% of variation in clamp values.

Conclusion

Fasting insulin sensitivity indices are modest predictors of insulin sensitivity measured by euglycemic clamp, and do not perform better than clinical surrogates in this population.
Appendix
Available only for authorised users
Literature
1.
go back to reference Danaei G, Finucane MM, Lu Y, Singh GM, Cowan MJ, Paciorek CJ, Lin JK, Farzadfar F, Khang YH, Stevens GA, Rao M, Ali MK, Riley LM, Robinson CA, Ezzati M, Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group (Blood Glucose): National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2.7 million participants. Lancet. 2011, 378: 31-40.CrossRefPubMed Danaei G, Finucane MM, Lu Y, Singh GM, Cowan MJ, Paciorek CJ, Lin JK, Farzadfar F, Khang YH, Stevens GA, Rao M, Ali MK, Riley LM, Robinson CA, Ezzati M, Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group (Blood Glucose): National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2.7 million participants. Lancet. 2011, 378: 31-40.CrossRefPubMed
2.
go back to reference Finucane MM, Stevens GA, Cowan MJ, Danaei G, Lin JK, Paciorek CJ, Singh GM, Gutierrez HR, Lu Y, Bahalim AN, Farzadfar F, Riley LM, Ezzati M, Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group (Body Mass Index): National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants. Lancet. 2011, 377: 557-567.CrossRefPubMedPubMedCentral Finucane MM, Stevens GA, Cowan MJ, Danaei G, Lin JK, Paciorek CJ, Singh GM, Gutierrez HR, Lu Y, Bahalim AN, Farzadfar F, Riley LM, Ezzati M, Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group (Body Mass Index): National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants. Lancet. 2011, 377: 557-567.CrossRefPubMedPubMedCentral
3.
go back to reference Whiting DR, Guariguata L, Weil C, Shaw J: IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pract. 2011, 94: 311-321.CrossRefPubMed Whiting DR, Guariguata L, Weil C, Shaw J: IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pract. 2011, 94: 311-321.CrossRefPubMed
4.
go back to reference DeFronzo RA, Tobin JD, Andres R: Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am J Physiol. 1979, 237: E214-E223.PubMed DeFronzo RA, Tobin JD, Andres R: Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am J Physiol. 1979, 237: E214-E223.PubMed
5.
go back to reference Muniyappa R, Lee S, Chen H, Quon MJ: Current approaches for assessing insulin sensitivity and resistance in vivo: advantages, limitations, and appropriate usage. Am J Physiol Endocrinol Metab. 2008, 294: E15-E26.CrossRefPubMed Muniyappa R, Lee S, Chen H, Quon MJ: Current approaches for assessing insulin sensitivity and resistance in vivo: advantages, limitations, and appropriate usage. Am J Physiol Endocrinol Metab. 2008, 294: E15-E26.CrossRefPubMed
6.
go back to reference Alvarez JA, Bush NC, Hunter GR, Brock DW, Gower BA: Ethnicity and weight status affect the accuracy of proxy indices of insulin sensitivity. Obesity (Silver Spring). 2008, 16: 2739-2744.CrossRef Alvarez JA, Bush NC, Hunter GR, Brock DW, Gower BA: Ethnicity and weight status affect the accuracy of proxy indices of insulin sensitivity. Obesity (Silver Spring). 2008, 16: 2739-2744.CrossRef
7.
go back to reference Pisprasert V, Ingram KH, Lopez-Davila MF, Munoz AJ, Garvey WT: Limitations in the use of indices using glucose and insulin levels to predict insulin sensitivity: impact of race and gender and superiority of the indices derived from oral glucose tolerance test in African Americans. Diabetes Care. 2013, 36: 845-853.CrossRefPubMedPubMedCentral Pisprasert V, Ingram KH, Lopez-Davila MF, Munoz AJ, Garvey WT: Limitations in the use of indices using glucose and insulin levels to predict insulin sensitivity: impact of race and gender and superiority of the indices derived from oral glucose tolerance test in African Americans. Diabetes Care. 2013, 36: 845-853.CrossRefPubMedPubMedCentral
8.
go back to reference Kengne AP, Limen SN, Sobngwi E, Djouogo CF, Nouedoui C: Metabolic syndrome in type 2 diabetes: comparative prevalence according to two sets of diagnostic criteria in sub-Saharan Africans. Diabetol Metab Syndr. 2012, 4: 22-CrossRefPubMedPubMedCentral Kengne AP, Limen SN, Sobngwi E, Djouogo CF, Nouedoui C: Metabolic syndrome in type 2 diabetes: comparative prevalence according to two sets of diagnostic criteria in sub-Saharan Africans. Diabetol Metab Syndr. 2012, 4: 22-CrossRefPubMedPubMedCentral
9.
go back to reference Alberti KG, Zimmet PZ: Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med. 1998, 15: 539-553.CrossRefPubMed Alberti KG, Zimmet PZ: Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med. 1998, 15: 539-553.CrossRefPubMed
10.
go back to reference Friedewald WT, Levy RI, Fredrickson DS: Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972, 18: 499-502.PubMed Friedewald WT, Levy RI, Fredrickson DS: Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972, 18: 499-502.PubMed
11.
go back to reference Duncan MH, Singh BM, Wise PH, Carter G, Alaghband-Zadeh J: A simple measure of insulin resistance. Lancet. 1995, 346: 120-121.CrossRefPubMed Duncan MH, Singh BM, Wise PH, Carter G, Alaghband-Zadeh J: A simple measure of insulin resistance. Lancet. 1995, 346: 120-121.CrossRefPubMed
12.
go back to reference Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC: Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985, 28: 412-419.CrossRefPubMed Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC: Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985, 28: 412-419.CrossRefPubMed
13.
go back to reference Wallace TM, Levy JC, Matthews DR: Use and abuse of HOMA modeling. Diabetes Care. 2004, 27: 1487-1495.CrossRefPubMed Wallace TM, Levy JC, Matthews DR: Use and abuse of HOMA modeling. Diabetes Care. 2004, 27: 1487-1495.CrossRefPubMed
14.
go back to reference Katz A, Nambi SS, Mather K, Baron AD, Follmann DA, Sullivan G, Quon MJ: Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans. J Clin Endocrinol Metab. 2000, 85: 2402-2410.CrossRefPubMed Katz A, Nambi SS, Mather K, Baron AD, Follmann DA, Sullivan G, Quon MJ: Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans. J Clin Endocrinol Metab. 2000, 85: 2402-2410.CrossRefPubMed
15.
go back to reference Box GEP, Cox DR: An analysis of transformations. J Royal Stat Soc B (Methodological). 1964, 26: 211-252. Box GEP, Cox DR: An analysis of transformations. J Royal Stat Soc B (Methodological). 1964, 26: 211-252.
16.
go back to reference Kent JT, Tyler DE, Vardy Y: A curious likelihood identity for the multivariate t-distribution. Commun Stat Simul Comput. 1994, 23: 441-453.CrossRef Kent JT, Tyler DE, Vardy Y: A curious likelihood identity for the multivariate t-distribution. Commun Stat Simul Comput. 1994, 23: 441-453.CrossRef
17.
go back to reference Haffner SM, D’Agostino R, Saad MF, Rewers M, Mykkanen L, Selby J, Howard G, Savage PJ, Hamman RF, Wegenknecht LE, Bergman RN: Increased insulin resistance and insulin secretion in nondiabetic African-Americans and Hispanics compared with non-Hispanic whites. The Insulin Resistance Atherosclerosis Study. Diabetes. 1996, 45: 742-748.CrossRefPubMed Haffner SM, D’Agostino R, Saad MF, Rewers M, Mykkanen L, Selby J, Howard G, Savage PJ, Hamman RF, Wegenknecht LE, Bergman RN: Increased insulin resistance and insulin secretion in nondiabetic African-Americans and Hispanics compared with non-Hispanic whites. The Insulin Resistance Atherosclerosis Study. Diabetes. 1996, 45: 742-748.CrossRefPubMed
18.
go back to reference Ntyintyane L, Panz V, Raal F, Gill G: Comparison between surrogate indices of insulin sensitivity and resistance, and the hyperinsulinaemic euglycaemic glucose clamp in urban South African blacks with and without coronary artery disease. Diab Vasc Dis Res. 2010, 7: 151-157.CrossRefPubMed Ntyintyane L, Panz V, Raal F, Gill G: Comparison between surrogate indices of insulin sensitivity and resistance, and the hyperinsulinaemic euglycaemic glucose clamp in urban South African blacks with and without coronary artery disease. Diab Vasc Dis Res. 2010, 7: 151-157.CrossRefPubMed
19.
go back to reference Fogelholm M, Van Marken LW: Comparison of body composition methods: a literature analysis. Eur J Clin Nutr. 1997, 51: 495-503.CrossRefPubMed Fogelholm M, Van Marken LW: Comparison of body composition methods: a literature analysis. Eur J Clin Nutr. 1997, 51: 495-503.CrossRefPubMed
20.
go back to reference Henkin L, Zaccaro D, Haffner S, Karter A, Rewers M, Sholinsky P, Wagenknecht L: Cigarette smoking, environmental tobacco smoke exposure and insulin sensitivity: the Insulin Resistance Atherosclerosis Study. Ann Epidemiol. 1999, 9: 290-296.CrossRefPubMed Henkin L, Zaccaro D, Haffner S, Karter A, Rewers M, Sholinsky P, Wagenknecht L: Cigarette smoking, environmental tobacco smoke exposure and insulin sensitivity: the Insulin Resistance Atherosclerosis Study. Ann Epidemiol. 1999, 9: 290-296.CrossRefPubMed
21.
go back to reference Chiolero A, Faeh D, Paccaud F, Cornuz J: Consequences of smoking for body weight, body fat distribution, and insulin resistance. Am J Clin Nutr. 2008, 87: 801-809.PubMed Chiolero A, Faeh D, Paccaud F, Cornuz J: Consequences of smoking for body weight, body fat distribution, and insulin resistance. Am J Clin Nutr. 2008, 87: 801-809.PubMed
22.
go back to reference Eliasson B, Attvall S, Taskinen MR, Smith U: The insulin resistance syndrome in smokers is related to smoking habits. Arterioscler Thromb. 1994, 14: 1946-1950.CrossRefPubMed Eliasson B, Attvall S, Taskinen MR, Smith U: The insulin resistance syndrome in smokers is related to smoking habits. Arterioscler Thromb. 1994, 14: 1946-1950.CrossRefPubMed
23.
go back to reference Hofstetter A, Schutz Y, Jéquier E, Wahren J: Increased 24-hour energy expenditure in cigarette smokers. N Engl J Med. 1986, 314: 79-82.CrossRefPubMed Hofstetter A, Schutz Y, Jéquier E, Wahren J: Increased 24-hour energy expenditure in cigarette smokers. N Engl J Med. 1986, 314: 79-82.CrossRefPubMed
24.
go back to reference Kim SH, Abbasi F, Reaven GM: Impact of degree of obesity on surrogate estimates of insulin resistance. Diabetes Care. 2004, 27: 1998-2002.CrossRefPubMed Kim SH, Abbasi F, Reaven GM: Impact of degree of obesity on surrogate estimates of insulin resistance. Diabetes Care. 2004, 27: 1998-2002.CrossRefPubMed
26.
go back to reference van Dieren S, Beulens JW, Kengne AP, Peelen LM, Rutten GE, Woodward M, van der Schouw YT, Moons KG: Prediction models for the risk of cardiovascular disease in patients with type 2 diabetes: a systematic review. Heart. 2012, 98: 360-369.CrossRefPubMed van Dieren S, Beulens JW, Kengne AP, Peelen LM, Rutten GE, Woodward M, van der Schouw YT, Moons KG: Prediction models for the risk of cardiovascular disease in patients with type 2 diabetes: a systematic review. Heart. 2012, 98: 360-369.CrossRefPubMed
Metadata
Title
Fasting insulin sensitivity indices are not better than routine clinical variables at predicting insulin sensitivity among Black Africans: a clamp study in sub-Saharan Africans
Authors
Eugene Sobngwi
Andre-Pascal Kengne
Justin B Echouffo-Tcheugui
Simeon Choukem
Joelle Sobngwi-Tambekou
Eric V Balti
Mark S Pearce
Valentin Siaha
Aissa S Mamdjokam
Valery Effoe
Eric Lontchi-Yimagou
Oliver T Donfack
Barbara Atogho-Tiedeu
Philippe Boudou
Jean-Francois Gautier
Jean-Claude Mbanya
Publication date
01-12-2014
Publisher
BioMed Central
Published in
BMC Endocrine Disorders / Issue 1/2014
Electronic ISSN: 1472-6823
DOI
https://doi.org/10.1186/1472-6823-14-65

Other articles of this Issue 1/2014

BMC Endocrine Disorders 1/2014 Go to the issue