Use of clinical scores to detect dysglycaemia in overweight or obese women

Diabetes and Metabolism

Volumn 38, Issue 3, 2012, Pages 217-224

  Cosson, E ^a,b,c   Chiheb, S ^a   Hamo Tchatchouang, E ^a   Nguyen, M T ^a,c   Aout, M ^d   Banu, I ^a   Pillegand, C ^a   Vicaut, E ^d   Valensi, P ^a,b  

^a HÔPITAL JEAN VERDIER   (France)

^b IMAGE center   (France)

^c National School of Arts and Trades Paris 13 University ^*  (France)

^d HÔPITAL LARIBOISIÈRE   (France)

Author keywords

Bondy score; Cost effectiveness; Diabetes; Finnish Diabetes risk score (Findrisk); French Data from an Epidemiological Study on the Insulin Resistance Syndrome (DESIR) score; Net benefit; Obesity; Oral glucose tolerance test; Prediabetes

Indexed keywords

GLUCOSE; HEMOGLOBIN A1C;

ADULT; AGED; ARTICLE; BONDY SCORE; CALCULATION; CONTROLLED STUDY; DATA FROM AN EPIDEMIOLOGICAL STUDY ON THE INSULIN RESISTANCE SYNDROME SCORE; DIAGNOSTIC TEST ACCURACY STUDY; DYSGLYCEMIA; EXTERNAL VALIDITY; FEMALE; FINNISH DIABETES RISK SCORE; HEMOGLOBIN BLOOD LEVEL; HUMAN; MAJOR CLINICAL STUDY; OBESITY; ORAL GLUCOSE TOLERANCE TEST; PREDICTIVE VALUE; RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; WAIST CIRCUMFERENCE;

ADULT; AGE FACTORS; AGED; AREA UNDER CURVE; BLOOD GLUCOSE; BODY MASS INDEX; DIABETES MELLITUS, TYPE 2; FASTING; FEMALE; FRANCE; GLUCOSE TOLERANCE TEST; HUMANS; HYPERGLYCEMIA; INSULIN RESISTANCE; MIDDLE AGED; OBESITY; OVERWEIGHT; PATIENT SELECTION; PREDICTIVE VALUE OF TESTS; ROC CURVE; SENSITIVITY AND SPECIFICITY; WAIST CIRCUMFERENCE;

EID: 84863504634     PISSN: 12623636     EISSN: 18781780     Source Type: Journal    
DOI: 10.1016/j.diabet.2011.11.007     Document Type: Article

References (41)

1. Diagnosis and classification of diabetes mellitus. Diabetes Care 2008;31(Suppl. 1):S55-60.
2. Alberti K.G., Zimmet P., Shaw J. International Diabetes Federation: a consensus on Type 2 diabetes prevention. Diabet Med 2007, 24:451-463.
3. Lauritzen T., Borch-Johnsen K., Sandbaek A. Is prevention of Type-2 diabetes feasible and efficient in primary care? A systematic PubMed review. Prim Care Diabetes 2007, 1:5-11.
4. Paulweber B., Valensi P., Lindstrom J., Lalic N.M., Greaves C.J., McKee M., et al. A European evidence-based guideline for the prevention of type 2 diabetes. Horm Metab Res 2010, 42(Suppl 1):S3-S36.
5. Lindstrom J., Neumann A., Sheppard K.E., Gilis-Januszewska A., Greaves C.J., Handke U., et al. Take action to prevent diabetes - the IMAGE toolkit for the prevention of type 2 diabetes in Europe. Horm Metab Res 2010, 42(Suppl 1):S37-S55.
6. Holman R.R., Paul S.K., Bethel M.A., Matthews D.R., Neil H.A. 10-year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med 2008, 359:1577-1589.
7. Li R., Zhang P., Barker L.E., Chowdhury F.M., Zhang X. Cost-effectiveness of interventions to prevent and control diabetes mellitus: a systematic review. Diabetes Care 2010, 33:1872-1894.
8. Ryden L., Standl E., Bartnik M., Van den Berghe G., Betteridge J., de Boer M.J., et al. Guidelines on diabetes, prediabetes, and cardiovascular diseases: executive summary. The Task Force on Diabetes and Cardiovascular Diseases of the European Society of Cardiology (ESC) and of the European Association for the Study of Diabetes (EASD). Eur Heart J 2007, 28:88-136.
9. Cowie C.C., Rust K.F., Ford E.S., Eberhardt M.S., Byrd-Holt D.D., Li C., et al. Full accounting of diabetes and pre-diabetes in the U.S. Population in 1988-1994 and 2005-2006. Diabetes Care 2009, 32:287-294.
10. The DECODE study group Age- and sex-specific prevalences of diabetes and impaired glucose regulation in 13 European cohorts. Diabetes Care 2003, 26:61-69.
11. DECODE Study Group, The European Diabetes Epidemiology Group Glucose tolerance and cardiovascular mortality: comparison of fasting and 2-hour diagnostic criteria. Arch Intern Med 2001, 161:397-405.
12. Balkau B., Eschwege E. Epidemiological data on postprandial glycaemia. Diabetes Metab 2006, 32(Spec No. 2: 2):S5-S9.
13. Barr E.L., Zimmet P.Z., Welborn T.A., Jolley D., Magliano D.J., Dunstan D.W., et al. Risk of cardiovascular and all-cause mortality in individuals with diabetes mellitus, impaired fasting glucose, and impaired glucose tolerance: the Australian Diabetes, Obesity, and Lifestyle Study (AusDiab). Circulation 2007, 116:151-157.
14. World Health Organization. Definition and Diagnosis of Diabetes Mellitus and intermediate hyperglycemia: Report of a WHO/IDF Consultation. Geneva, World Health Org 2006.
15. The International Expert Committee International Expert Committee report on the role of the A1C assay in the diagnosis of diabetes. Diabetes Care 2009, 32:1327-1334.
16. Carson A.P., Reynolds K., Fonseca V.A., Muntner P. Comparison of A1C and fasting glucose criteria to diagnose diabetes among U.S. adults. Diabetes Care 2010, 33:95-97.
17. Kramer C.K., Araneta M.R., Barrett-Connor E. A1C and diabetes diagnosis: The Rancho Bernardo Study. Diabetes Care 2010, 33:101-103.
18. Lorenzo C., Haffner S.M. Performance characteristics of the new definition of diabetes: the insulin resistance atherosclerosis study. Diabetes Care 2010, 33:335-337.
19. 1c are measured in overweight or obese patients. Diabetes Metab 2010, 36:312-318.
20. World Health Organisation. Use of glycate haemoglobin (HbA1c) in the diagnosis of diabetes mellitus. World Health Org 2011.
21. Lu Z.X., Walker K.Z., O'Dea K., Sikaris K.A., Shaw J.E. A1C for screening and diagnosis of type 2 diabetes in routine clinical practice. Diabetes Care 2010, 33:817-819.
22. Schmidt M.I., Duncan B.B., Vigo A., Pankow J., Ballantyne C.M., Couper D., et al. Detection of undiagnosed diabetes and other hyperglycemia states: the Atherosclerosis Risk in Communities Study. Diabetes Care 2003, 26:1338-1343.
23. Lindstrom J., Tuomilehto J. The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care 2003, 26:725-731.
24. Saaristo T., Peltonen M., Lindstrom J., Saarikoski L., Sundvall J., Eriksson J.G., et al. Cross-sectional evaluation of the Finnish Diabetes Risk Score: a tool to identify undetected type 2 diabetes, abnormal glucose tolerance and metabolic syndrome. Diab Vasc Dis Res 2005, 2:67-72.
25. Makrilakis K., Liatis S., Grammatikou S., Perrea D., Stathi C., Tsiligros P., et al. Validation of the Finnish diabetes risk score (FINDRISC) questionnaire for screening for undiagnosed type 2 diabetes, dysglycaemia and the metabolic syndrome in Greece. Diabetes Metab 2011, 37:144-151.
26. Balkau B., Lange C., Fezeu L., Tichet J., de Lauzon-Guillain B., Czernichow S., et al. Predicting diabetes: clinical, biological, and genetic approaches: data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR). Diabetes Care 2008, 31:2056-2061.
27. Wilkerson H.L., Hyman H., Kaufman M., Mc Cuistion C.A., Francis J.O. Diagnostic evaluation of oral glucose tolerance tests in nondiabetic subjects after various levels of carbohydrate intake. N Engl J Med 1960, 262:1047-1053.
28. Cosson E., Nguyen M.T., Hamo-Tchatchouang E., Banu I., Chiheb S., Charnaux N., et al. What would be the outcome if the American Diabetes Association recommendations of 2010 had been followed in our practice in 1998-2006?. Diabet Med 2011, 28:567-574.
29. Little R.R., Rohlfing C.L., Wiedmeyer H.M., Myers G.L., Sacks D.B., Goldstein D.E. The national glycohemoglobin standardization program: a five-year progress report. Clin Chem 2001, 47:1985-1992.
30. Matthews D.R., Hosker J.P., Rudenski A.S., Naylor B.A., Treacher D.F., Turner R.C. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985, 28:412-419.
31. DeLong E.R., DeLong D.M., Clarke-Pearson D.L. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988, 44:837-845.
32. Glas A.S., Lijmer J.G., Prins M.H., Bonsel G.J., Bossuyt P.M. The diagnostic odds ratio: a single indicator of test performance. J Clin Epidemiol 2003, 56:1129-1135.
33. Steyerberg E.W., Harrell F.E., Borsboom G.J., Eijkemans M.J., Vergouwe Y., Habbema J.D. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol 2001, 54:774-781.
34. Vickers A.J., Elkin E.B. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making 2006, 26:565-574.
35. Valensi P., Schwarz E.H., Hall M., Felton A.M., Maldonato A., Mathieu C. Pre-diabetes essential action: a European perspective. Diabetes Metab 2005, 31:606-620.
36. American Diabetes Association Diagnosis and classification of diabetes mellitus. Diabetes Care 2010, 33:S62-S69.
37. Bergmann A., Li J., Wang L., Schulze J., Bornstein S.R., Schwarz P.E. A simplified Finnish diabetes risk score to predict type 2 diabetes risk and disease evolution in a German population. Horm Metab Res 2007, 39:677-682.
38. Schwarz P.E., Li J., Reimann M., Schutte A.E., Bergmann A., Hanefield M., et al. The Finnish Diabetes Risk Score is assocaited with insulin resistance and progrssion towards type 2 diabetes. J Clin Endocrinol Metab 2009, 94:920-926.
39. Franciosi M., De Berardis G., Rossi M.C., Sacco M., Belfiglio M., Pellegrini F., et al. Use of the diabetes risk score for opportunistic screening of undiagnosed diabetes and impaired glucose tolerance: the IGLOO (Impaired Glucose Tolerance and Long-Term Outcomes Observational) study. Diabetes Care 2005, 28:1187-1194.
40. Rathmann W., Martin S., Haastert B., Icks A., Holle R., Lowel H., et al. Performance of screening questionnaires and risk scores for undiagnosed diabetes: the KORA Survey 2000. Arch Intern Med 2005, 165:436-441.
41. Al-Lawati J.A., Tuomilehto J. Diabetes risk score in Oman: a tool to identify prevalent type 2 diabetes among Arabs of the Middle East. Diabetes Res Clin Pract 2007, 77:438-444.