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A Two-Step Screening, Measurement of HbA1c in Association with FPG, May Be Useful in Predicting Diabetes

BACKGROUNDS: We compared the usefulness of fasting plasma glucose (FPG), or hemoglobin A1c (HbA1c), or both in predicting type 2 diabetes. METHODS: This retrospective cohort study investigated 9,322 Japanese adults (4,786 men and 4,536 women), aged 19–69 yrs, free of diabetes at baseline. Usefulness...

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Autores principales: Nomura, Kyoko, Inoue, Kazuo, Akimoto, Kimihiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338650/
https://www.ncbi.nlm.nih.gov/pubmed/22558430
http://dx.doi.org/10.1371/journal.pone.0036309
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author Nomura, Kyoko
Inoue, Kazuo
Akimoto, Kimihiko
author_facet Nomura, Kyoko
Inoue, Kazuo
Akimoto, Kimihiko
author_sort Nomura, Kyoko
collection PubMed
description BACKGROUNDS: We compared the usefulness of fasting plasma glucose (FPG), or hemoglobin A1c (HbA1c), or both in predicting type 2 diabetes. METHODS: This retrospective cohort study investigated 9,322 Japanese adults (4,786 men and 4,536 women), aged 19–69 yrs, free of diabetes at baseline. Usefulness was assessed by predictive values (PV), sensitivity, specificity, and the area under the receiver operating characteristic curve (AUROC) maximised under the best cut-off point. RESULTS: During the average 6 years of follow-up, 221 men (4.6%) and 92 women (2%) developed diabetes. The best cut-off points for FPG (i.e., 5.67 mmol/l for men and 5.5 mmol/l for women) gave excellent AUROC, and the highest positive PV (13% for men and 9% for women) in predicting diabetes. In high risk subjects with FPG 6.1–6.9 mmol/l, 119 men (26.8%) and 39 women (28.3%) developed diabetes. Under the best cut-off points of FPG 6.39 mmol/l and A1c 5.8, AUROC and positive PV for FPG slightly decreased indicating FPG became less useful and were statistically indistinguishable from those for HbA1c in men. In fact, HbA1c was the most useful in women: HbA1c of 6.0% gave the highest positive likelihood ratio of 2.74 and larger AUROC than did FPG. Although AUROC for HbA1c was acceptable and indistinguishable from that for the combined use, HbA1c had higher specificity and positive LR than did the combined use. CONCLUSIONS: This study demonstrated that FPG was the most useful to predict diabetes in the general population. However, in subjects with FPG 6.1–6.9 mmol/l, FPG became less useful and diagnostic performance of FPG was indistinguishable from that of HbA1c in men whereas HbA1c was the most useful in women. Thus, a two-step screening, measurement of HbA1c in association with FPG, may be useful in predicting diabetes.
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spelling pubmed-33386502012-05-03 A Two-Step Screening, Measurement of HbA1c in Association with FPG, May Be Useful in Predicting Diabetes Nomura, Kyoko Inoue, Kazuo Akimoto, Kimihiko PLoS One Research Article BACKGROUNDS: We compared the usefulness of fasting plasma glucose (FPG), or hemoglobin A1c (HbA1c), or both in predicting type 2 diabetes. METHODS: This retrospective cohort study investigated 9,322 Japanese adults (4,786 men and 4,536 women), aged 19–69 yrs, free of diabetes at baseline. Usefulness was assessed by predictive values (PV), sensitivity, specificity, and the area under the receiver operating characteristic curve (AUROC) maximised under the best cut-off point. RESULTS: During the average 6 years of follow-up, 221 men (4.6%) and 92 women (2%) developed diabetes. The best cut-off points for FPG (i.e., 5.67 mmol/l for men and 5.5 mmol/l for women) gave excellent AUROC, and the highest positive PV (13% for men and 9% for women) in predicting diabetes. In high risk subjects with FPG 6.1–6.9 mmol/l, 119 men (26.8%) and 39 women (28.3%) developed diabetes. Under the best cut-off points of FPG 6.39 mmol/l and A1c 5.8, AUROC and positive PV for FPG slightly decreased indicating FPG became less useful and were statistically indistinguishable from those for HbA1c in men. In fact, HbA1c was the most useful in women: HbA1c of 6.0% gave the highest positive likelihood ratio of 2.74 and larger AUROC than did FPG. Although AUROC for HbA1c was acceptable and indistinguishable from that for the combined use, HbA1c had higher specificity and positive LR than did the combined use. CONCLUSIONS: This study demonstrated that FPG was the most useful to predict diabetes in the general population. However, in subjects with FPG 6.1–6.9 mmol/l, FPG became less useful and diagnostic performance of FPG was indistinguishable from that of HbA1c in men whereas HbA1c was the most useful in women. Thus, a two-step screening, measurement of HbA1c in association with FPG, may be useful in predicting diabetes. Public Library of Science 2012-04-27 /pmc/articles/PMC3338650/ /pubmed/22558430 http://dx.doi.org/10.1371/journal.pone.0036309 Text en Nomura et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Nomura, Kyoko
Inoue, Kazuo
Akimoto, Kimihiko
A Two-Step Screening, Measurement of HbA1c in Association with FPG, May Be Useful in Predicting Diabetes
title A Two-Step Screening, Measurement of HbA1c in Association with FPG, May Be Useful in Predicting Diabetes
title_full A Two-Step Screening, Measurement of HbA1c in Association with FPG, May Be Useful in Predicting Diabetes
title_fullStr A Two-Step Screening, Measurement of HbA1c in Association with FPG, May Be Useful in Predicting Diabetes
title_full_unstemmed A Two-Step Screening, Measurement of HbA1c in Association with FPG, May Be Useful in Predicting Diabetes
title_short A Two-Step Screening, Measurement of HbA1c in Association with FPG, May Be Useful in Predicting Diabetes
title_sort two-step screening, measurement of hba1c in association with fpg, may be useful in predicting diabetes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338650/
https://www.ncbi.nlm.nih.gov/pubmed/22558430
http://dx.doi.org/10.1371/journal.pone.0036309
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