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Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort

We investigated whether adding anthropometric measures to HbA1c would have stronger discriminative ability over HbA1c alone in detecting dysglycemia (diabetes and prediabetes) among Asian women trying to conceive. Among 971 Singaporean women, multiple regression models and area under receiver-operat...

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Autores principales: Chu, Anne H. Y., Aris, Izzuddin M., Ng, Sharon, Loy, See Ling, Bernard, Jonathan Y, Tint, Mya Thway, Yuan, Wen Lun, Godfrey, Keith M., Chan, Jerry Kok Yen, Shek, Lynette Pei-Chi, Chong, Yap Seng, Tan, Kok Hian, Ang, Seng Bin, Tan, Heng Hao, Chern, Bernard S. M., Yap, Fabian, Lee, Yung Seng, Lek, Ngee, Leow, Melvin Khee-Shing, Khoo, Chin Meng, Chan, Shiao-Yng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280215/
https://www.ncbi.nlm.nih.gov/pubmed/32514017
http://dx.doi.org/10.1038/s41598-020-66147-x
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author Chu, Anne H. Y.
Aris, Izzuddin M.
Ng, Sharon
Loy, See Ling
Bernard, Jonathan Y
Tint, Mya Thway
Yuan, Wen Lun
Godfrey, Keith M.
Chan, Jerry Kok Yen
Shek, Lynette Pei-Chi
Chong, Yap Seng
Tan, Kok Hian
Ang, Seng Bin
Tan, Heng Hao
Chern, Bernard S. M.
Yap, Fabian
Lee, Yung Seng
Lek, Ngee
Leow, Melvin Khee-Shing
Khoo, Chin Meng
Chan, Shiao-Yng
author_facet Chu, Anne H. Y.
Aris, Izzuddin M.
Ng, Sharon
Loy, See Ling
Bernard, Jonathan Y
Tint, Mya Thway
Yuan, Wen Lun
Godfrey, Keith M.
Chan, Jerry Kok Yen
Shek, Lynette Pei-Chi
Chong, Yap Seng
Tan, Kok Hian
Ang, Seng Bin
Tan, Heng Hao
Chern, Bernard S. M.
Yap, Fabian
Lee, Yung Seng
Lek, Ngee
Leow, Melvin Khee-Shing
Khoo, Chin Meng
Chan, Shiao-Yng
author_sort Chu, Anne H. Y.
collection PubMed
description We investigated whether adding anthropometric measures to HbA1c would have stronger discriminative ability over HbA1c alone in detecting dysglycemia (diabetes and prediabetes) among Asian women trying to conceive. Among 971 Singaporean women, multiple regression models and area under receiver-operating characteristic (AUROC) curves were used to analyze associations of anthropometric (weight, height, waist/hip circumferences, 4-site skinfold thicknesses) and HbA1c z-scores with dysglycemia (fasting glucose ≥6.1 mmol/L with 2-hour glucose ≥7.8 mmol/l). The prevalence of dysglycemia was 10.9%. After adjusting for sociodemographic/medical history, BMI (Odds Ratio [OR] = 1.62 [95%CI 1.32–1.99]), waist-to-height ratio (OR = 1.74 [1.39–2.17]) and total skinfolds (OR = 2.02 [1.60–2.55]) showed the strongest associations with dysglycemia but none outperformed HbA1c (OR = 4.09 [2.81–5.94]). After adjustment for history, adding BMI, waist-to-height ratio and total skinfolds (anthropometry trio) as continuous variables to HbA1c (AUROC = 0.80 [95%CI 0.75–0.85]) performed similarly to HbA1c alone (AUROC = 0.79 [0.74–0.84]). However, using clinically-defined thresholds without considering history, as in common clinical practice, BMI ≥ 23 kg/m(2) + HbA1c ≥ 5.7% (AUROC = 0.70 [0.64–0.75]) and anthropometry trio + HbA1c ≥ 5.7% (AUROC = 0.71 [0.65–0.76]) both outperformed HbA1c ≥ 5.7% alone (AUROC = 0.61 [0.57–0.65]). In a two-stage strategy, incorporating BMI ≥ 23 kg/m(2) alongside HbA1c ≥ 5.7% into first-stage screening to identify high risk women for subsequent oral glucose tolerance testing improves dysglycemia detection in Asian women preconception.
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spelling pubmed-72802152020-06-15 Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort Chu, Anne H. Y. Aris, Izzuddin M. Ng, Sharon Loy, See Ling Bernard, Jonathan Y Tint, Mya Thway Yuan, Wen Lun Godfrey, Keith M. Chan, Jerry Kok Yen Shek, Lynette Pei-Chi Chong, Yap Seng Tan, Kok Hian Ang, Seng Bin Tan, Heng Hao Chern, Bernard S. M. Yap, Fabian Lee, Yung Seng Lek, Ngee Leow, Melvin Khee-Shing Khoo, Chin Meng Chan, Shiao-Yng Sci Rep Article We investigated whether adding anthropometric measures to HbA1c would have stronger discriminative ability over HbA1c alone in detecting dysglycemia (diabetes and prediabetes) among Asian women trying to conceive. Among 971 Singaporean women, multiple regression models and area under receiver-operating characteristic (AUROC) curves were used to analyze associations of anthropometric (weight, height, waist/hip circumferences, 4-site skinfold thicknesses) and HbA1c z-scores with dysglycemia (fasting glucose ≥6.1 mmol/L with 2-hour glucose ≥7.8 mmol/l). The prevalence of dysglycemia was 10.9%. After adjusting for sociodemographic/medical history, BMI (Odds Ratio [OR] = 1.62 [95%CI 1.32–1.99]), waist-to-height ratio (OR = 1.74 [1.39–2.17]) and total skinfolds (OR = 2.02 [1.60–2.55]) showed the strongest associations with dysglycemia but none outperformed HbA1c (OR = 4.09 [2.81–5.94]). After adjustment for history, adding BMI, waist-to-height ratio and total skinfolds (anthropometry trio) as continuous variables to HbA1c (AUROC = 0.80 [95%CI 0.75–0.85]) performed similarly to HbA1c alone (AUROC = 0.79 [0.74–0.84]). However, using clinically-defined thresholds without considering history, as in common clinical practice, BMI ≥ 23 kg/m(2) + HbA1c ≥ 5.7% (AUROC = 0.70 [0.64–0.75]) and anthropometry trio + HbA1c ≥ 5.7% (AUROC = 0.71 [0.65–0.76]) both outperformed HbA1c ≥ 5.7% alone (AUROC = 0.61 [0.57–0.65]). In a two-stage strategy, incorporating BMI ≥ 23 kg/m(2) alongside HbA1c ≥ 5.7% into first-stage screening to identify high risk women for subsequent oral glucose tolerance testing improves dysglycemia detection in Asian women preconception. Nature Publishing Group UK 2020-06-08 /pmc/articles/PMC7280215/ /pubmed/32514017 http://dx.doi.org/10.1038/s41598-020-66147-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Chu, Anne H. Y.
Aris, Izzuddin M.
Ng, Sharon
Loy, See Ling
Bernard, Jonathan Y
Tint, Mya Thway
Yuan, Wen Lun
Godfrey, Keith M.
Chan, Jerry Kok Yen
Shek, Lynette Pei-Chi
Chong, Yap Seng
Tan, Kok Hian
Ang, Seng Bin
Tan, Heng Hao
Chern, Bernard S. M.
Yap, Fabian
Lee, Yung Seng
Lek, Ngee
Leow, Melvin Khee-Shing
Khoo, Chin Meng
Chan, Shiao-Yng
Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort
title Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort
title_full Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort
title_fullStr Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort
title_full_unstemmed Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort
title_short Anthropometric measures and HbA1c to detect dysglycemia in young Asian women planning conception: The S-PRESTO cohort
title_sort anthropometric measures and hba1c to detect dysglycemia in young asian women planning conception: the s-presto cohort
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280215/
https://www.ncbi.nlm.nih.gov/pubmed/32514017
http://dx.doi.org/10.1038/s41598-020-66147-x
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