000			02375nab a22002417a 4500
003			PILC
005			20221123182250.0
008			150723s9999 xx 000 0 und d
040			_cMANILA TYTANA COLLEGES LIBRARY
100			_aZhang, Ruyi.
245			_aCutoff value of HbA1c for predicting diabetes and prediabetes in a Chinese high risk population aged over 45 / _cRuyi Zhang, Jiao Wang, Jinhua Luo, Xiaoyan Yang, Rui Yang, Dehong Cai, Hua Zhang
260			_cSeptember 2015
336			_atext
337			_aunmediated
338			_avolume
440			_aAsia Pacific Journal of Clinical Nutrition _n24 : 3, page 360-366
520			_a"To evaluate the cutoff value of HbA1c for predicting diabetes and prediabetes in a Chinese high risk population aged over 45. Methods: A total of 619 people aged over 45 without diabetes were randomly recruited to complete the Finnish Diabetes Risk Score (FINDRISC) questionnaire. 208 high-risk individuals (defined by Diabetes Risk Score ≥9) had OGTT and HbA1c determined at the same time. Results: In a Chinese population aged over 45, the best cutoff values of HbA1c for detecting diabetes and prediabetes were5.8% and 5.4% respectively. The area under the receiver operating characteristic (AUROC) curve of HbA1c for detecting diabetes was 0.85 (95% CI: 0.80-0.90) and prediabetes was 0.62 (95% CI: 0.54-0.70). The combined use of HbA1c and fasting blood glucose (FPG) hada larger AUROC than HbA1c alone (0.88, 95%CI: 0.83-0.92 in detecting diabetesvs 0.75, 95%CI: 0.67-0.82 in prediabetes), and had a higher sensitivity in predicting diabetes and higher specificity and positive predictive value (PPV) in predicting prediabetes. However, the AUROC between HbA1c alone and combined use in predicting diabetes was not significantly different (p=0.173). Conclusions: FINDRISC is a feasible tool to screen people who are at high risk of diabetes. The cutoff values of HbA1c to diagnose diabetes and prediabetes in a Chinese high risk population aged over 45 were 5.8% and 5.4%, respectively. The sensitivity and specificity of HbA1c for detecting diabetes and prediabetes were relatively low, so that the combined use of HbA1c and FPG may be more effective in prediction."
521			_aNutrition
650			_aDiabetes.
650			_aPrediabetic state.
942			_cA _2lcc
998			_c80028 _d138391
999			_c77035 _d77035