Objective: Discordance between HbA1c and OGTT in screening pre-diabetes may occur because of lack of laboratory standardization, distinct underlying pathophysiological processes or different ethnicity. We evaluated HbA1c efficacy for screening OGTT-defined IFG and IGT conditions in a large Caucasian population using the newly revised IFCC protocol. Research design and methods: A total of 501 consecutive subjects were screened for pre-diabetic conditions with OGTT with 75 g of glucose. Testing for HbA1c, lipid profile and fasting insulin levels was also performed. For detecting differences between continuous variables, ANOVA followed by Tukey’s honestly significant difference (HSD) post hoc test was used. Logistic regression and ROC curve analysis were also performed for assessing HbA1c screening efficacy. Results: ROC curve analysis showed that optimal HbA1c cut-off for detecting IFG was 5.6 % (sensitivity of 78 % and specificity of 63 %), while for IGT, the optimal cut-off was 5.9 % (sensitivity of 46 % and specificity of 84 %), with AUCs < 0.8. Screening with HbA1c identified 53.4 % of the 193 patients with IFG and/or IGT diagnosed at OGTT. As regards surrogate markers of insulin resistance, we observed a trend towards higher values of HOMA-IR and lower QUICKI values in subjects with IFG than in those with IGT. Patients with pre-diabetes at both tests had similar values of HOMA and QUICKI, compared with those with altered OGTT only. Conclusions: IFCC-aligned HbA1c assay proved scarcely effective in detecting IFG and/or IGT in a large Caucasian population, identifying only half of the patients with abnormal OGTT. Moreover, adding HbA1c screening to OGTT may be of little benefit in identifying subjects with a worse metabolic profile.

Screening with HbA1c identifies only one in two individuals with diagnosis of prediabetes at oral glucose tolerance test: findings in a real-world Caucasian population

CHILELLI, NINO CRISTIANO;COSMA, CHIARA;RAGAZZI, EUGENIO;BURLINA, SILVIA;PLEBANI, MARIO;LAPOLLA, ANNUNZIATA
2014

Abstract

Objective: Discordance between HbA1c and OGTT in screening pre-diabetes may occur because of lack of laboratory standardization, distinct underlying pathophysiological processes or different ethnicity. We evaluated HbA1c efficacy for screening OGTT-defined IFG and IGT conditions in a large Caucasian population using the newly revised IFCC protocol. Research design and methods: A total of 501 consecutive subjects were screened for pre-diabetic conditions with OGTT with 75 g of glucose. Testing for HbA1c, lipid profile and fasting insulin levels was also performed. For detecting differences between continuous variables, ANOVA followed by Tukey’s honestly significant difference (HSD) post hoc test was used. Logistic regression and ROC curve analysis were also performed for assessing HbA1c screening efficacy. Results: ROC curve analysis showed that optimal HbA1c cut-off for detecting IFG was 5.6 % (sensitivity of 78 % and specificity of 63 %), while for IGT, the optimal cut-off was 5.9 % (sensitivity of 46 % and specificity of 84 %), with AUCs < 0.8. Screening with HbA1c identified 53.4 % of the 193 patients with IFG and/or IGT diagnosed at OGTT. As regards surrogate markers of insulin resistance, we observed a trend towards higher values of HOMA-IR and lower QUICKI values in subjects with IFG than in those with IGT. Patients with pre-diabetes at both tests had similar values of HOMA and QUICKI, compared with those with altered OGTT only. Conclusions: IFCC-aligned HbA1c assay proved scarcely effective in detecting IFG and/or IGT in a large Caucasian population, identifying only half of the patients with abnormal OGTT. Moreover, adding HbA1c screening to OGTT may be of little benefit in identifying subjects with a worse metabolic profile.
2014
STAMPA
Inglese
51
5
875
882
8
Springer-Verlag Italia
Internazionale
anonymous
The Endocrinology, Metabolism & Nutrition category is concerned with resources on the growth and regulation of the human body. Coverage focuses on disorders associated with endocrine glands such as diabetes, osteoporosis, and obesity. Nutrition resources focus on topics such as diagnosis, treatment, and management of nutritional and metabolic disorders. Reproductive endocrinology is excluded and is placed in the Reproductive Medicine category.
Endocrinology, Nutrition & Metabolism is a cross-disciplinary category combining molecular, cellular and clinical science studies of the endocrine glands, and the regulation of cell, organ, and system function by the action of secreted hormones. Chemical/biological properties of hormones, and the pathogenesis and treatment of disorders associated with either source or target organs are also covered. Nutrition coverage includes biochemical characteristics of nutrients, physiology of absorption, biological trace elements, clinical nutrition and malnutrition, and the biomedicine of obesity. Specific areas of interest include reproductive endocrinology, pancreatic hormones and diabetes, regulation of bone formation and loss, and control of growth. Resources focusing on neuroendocrinology are excluded and are placed in the Neuroscience & Behavior category.
HbA1; HOMA; OGTT; prediabetes; QUICKI
http://download-v2.springer.com/static/pdf/65/art%253A10.1007%252Fs00592-014-0639-2.pdf?token2=exp=1431413557~acl=%2Fstatic%2Fpdf%2F65%2Fart%25253A10.1007%25252Fs00592-014-0639-2.pdf*~hmac=3f9f150c06ff6240ad64adc1b84345ef9144d4ad0a98f7c194c92f4fb9a79228
none
Chilelli, NINO CRISTIANO; Cosma, Chiara; Ragazzi, Eugenio; Burlina, Silvia; Zaninotto, Martina; Plebani, Mario; Lapolla, Annunziata
01 CONTRIBUTO IN RIVISTA::01.01 - Articolo in rivista
info:eu-repo/semantics/article
7
262
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3148367
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