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Using common clinical data improves the prediction of abnormal glucose tolerance by the new criteria of impaired fasting glucose: Tehran lipid and glucose study.
Diabetes Res Clin Pract. 2007 Sep; 77(3):459-64.DR

Abstract

OBJECTIVE

To identify a subgroup of individuals with impaired fasting glucose (IFG) based on the new 2003 criteria that would most likely benefit from performance of oral glucose tolerance test.

METHODS

A cross-sectional study was carried out in 1999-2001 in an Iranian urban population which enrolled 8766 individuals over 20 years. Fasting and 2-h plasma glucose was measured in all subjects after exclusion of diabetic subjects. Logistic regression and receiver operation characteristic (ROC) curve analysis were used to determine the independent clinical risk factors and their optimal cut-points associated with impaired glucose tolerance (IGT) and dysglycemia (IGT or diabetes).

RESULTS

Application of the new criteria decreased positive likelihood ratio (LR+) of IFG for detecting IGT (from 6.68 to 3.86) or dysglycemia (from 9.90 to 4.46) but slightly improved their agreement (Kappa increased from 0.158 to 0.286 for IGT and 0.238 to 0.354 for dysglycemia). When the clinical data (age >45 years, BMI >28 kg/m(2) and systolic blood pressure >125 mm Hg) were added to the new criteria, the agreement of IFG with IGT and dysglycemia significantly improved (Kappa=0.470 and 0.574, respectively). This also increased the LR(+) to 14.5 and 17.4, respectively, for detecting IGT or dysglycemia.

CONCLUSION

The new IFG definition in combination with common clinical risk factors constitutes a group that most likely predicts IGT or dysglycemia and may be a target for which preventive strategies should be considered.

Authors+Show Affiliations

Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shaheed Beheshti University of Medical Sciences, Tehran, Iran. fzhadaegh@erc.ac.irNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

17350133

Citation

Hadaegh, F, et al. "Using Common Clinical Data Improves the Prediction of Abnormal Glucose Tolerance By the New Criteria of Impaired Fasting Glucose: Tehran Lipid and Glucose Study." Diabetes Research and Clinical Practice, vol. 77, no. 3, 2007, pp. 459-64.
Hadaegh F, Harati H, Ghasemi A, et al. Using common clinical data improves the prediction of abnormal glucose tolerance by the new criteria of impaired fasting glucose: Tehran lipid and glucose study. Diabetes Res Clin Pract. 2007;77(3):459-64.
Hadaegh, F., Harati, H., Ghasemi, A., Tohidi, M., Zabetian, A., Mehrabi, Y., & Azizi, F. (2007). Using common clinical data improves the prediction of abnormal glucose tolerance by the new criteria of impaired fasting glucose: Tehran lipid and glucose study. Diabetes Research and Clinical Practice, 77(3), 459-64.
Hadaegh F, et al. Using Common Clinical Data Improves the Prediction of Abnormal Glucose Tolerance By the New Criteria of Impaired Fasting Glucose: Tehran Lipid and Glucose Study. Diabetes Res Clin Pract. 2007;77(3):459-64. PubMed PMID: 17350133.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Using common clinical data improves the prediction of abnormal glucose tolerance by the new criteria of impaired fasting glucose: Tehran lipid and glucose study. AU - Hadaegh,F, AU - Harati,H, AU - Ghasemi,A, AU - Tohidi,M, AU - Zabetian,A, AU - Mehrabi,Y, AU - Azizi,F, Y1 - 2007/03/09/ PY - 2006/12/16/received PY - 2007/02/10/accepted PY - 2007/3/14/pubmed PY - 2007/12/18/medline PY - 2007/3/14/entrez SP - 459 EP - 64 JF - Diabetes research and clinical practice JO - Diabetes Res. Clin. Pract. VL - 77 IS - 3 N2 - OBJECTIVE: To identify a subgroup of individuals with impaired fasting glucose (IFG) based on the new 2003 criteria that would most likely benefit from performance of oral glucose tolerance test. METHODS: A cross-sectional study was carried out in 1999-2001 in an Iranian urban population which enrolled 8766 individuals over 20 years. Fasting and 2-h plasma glucose was measured in all subjects after exclusion of diabetic subjects. Logistic regression and receiver operation characteristic (ROC) curve analysis were used to determine the independent clinical risk factors and their optimal cut-points associated with impaired glucose tolerance (IGT) and dysglycemia (IGT or diabetes). RESULTS: Application of the new criteria decreased positive likelihood ratio (LR+) of IFG for detecting IGT (from 6.68 to 3.86) or dysglycemia (from 9.90 to 4.46) but slightly improved their agreement (Kappa increased from 0.158 to 0.286 for IGT and 0.238 to 0.354 for dysglycemia). When the clinical data (age >45 years, BMI >28 kg/m(2) and systolic blood pressure >125 mm Hg) were added to the new criteria, the agreement of IFG with IGT and dysglycemia significantly improved (Kappa=0.470 and 0.574, respectively). This also increased the LR(+) to 14.5 and 17.4, respectively, for detecting IGT or dysglycemia. CONCLUSION: The new IFG definition in combination with common clinical risk factors constitutes a group that most likely predicts IGT or dysglycemia and may be a target for which preventive strategies should be considered. SN - 0168-8227 UR - https://www.unboundmedicine.com/medline/citation/17350133/Using_common_clinical_data_improves_the_prediction_of_abnormal_glucose_tolerance_by_the_new_criteria_of_impaired_fasting_glucose:_Tehran_lipid_and_glucose_study_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0168-8227(07)00115-5 DB - PRIME DP - Unbound Medicine ER -