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Influence of red blood cell indices on HbA1c performance in detecting dysglycaemia in a Singapore preconception cohort study

Abnormalities of red blood cell (RBC) indices may affect glycated haemoglobin (HbA1c) levels. We assessed the influence of haemoglobin (Hb) and mean corpuscular volume (MCV) on the performance of HbA1c in detecting dysglycaemia among reproductive aged women planning to conceive. Women aged 18–45 yea...

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Autores principales: Loy, See Ling, Lin, Jinjie, Cheung, Yin Bun, Sreedharan, Aravind Venkatesh, Chin, Xinyi, Godfrey, Keith M., Tan, Kok Hian, Shek, Lynette Pei-Chi, Chong, Yap Seng, Leow, Melvin Khee-Shing, Khoo, Chin Meng, Lee, Yung Seng, Chan, Shiao-Yng, Lek, Ngee, Chan, Jerry Kok Yen, Yap, Fabian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531017/
https://www.ncbi.nlm.nih.gov/pubmed/34675297
http://dx.doi.org/10.1038/s41598-021-00445-w
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author Loy, See Ling
Lin, Jinjie
Cheung, Yin Bun
Sreedharan, Aravind Venkatesh
Chin, Xinyi
Godfrey, Keith M.
Tan, Kok Hian
Shek, Lynette Pei-Chi
Chong, Yap Seng
Leow, Melvin Khee-Shing
Khoo, Chin Meng
Lee, Yung Seng
Chan, Shiao-Yng
Lek, Ngee
Chan, Jerry Kok Yen
Yap, Fabian
author_facet Loy, See Ling
Lin, Jinjie
Cheung, Yin Bun
Sreedharan, Aravind Venkatesh
Chin, Xinyi
Godfrey, Keith M.
Tan, Kok Hian
Shek, Lynette Pei-Chi
Chong, Yap Seng
Leow, Melvin Khee-Shing
Khoo, Chin Meng
Lee, Yung Seng
Chan, Shiao-Yng
Lek, Ngee
Chan, Jerry Kok Yen
Yap, Fabian
author_sort Loy, See Ling
collection PubMed
description Abnormalities of red blood cell (RBC) indices may affect glycated haemoglobin (HbA1c) levels. We assessed the influence of haemoglobin (Hb) and mean corpuscular volume (MCV) on the performance of HbA1c in detecting dysglycaemia among reproductive aged women planning to conceive. Women aged 18–45 years (n = 985) were classified as normal (12 ≤ Hb ≤ 16 g/dL and 80 ≤ MCV ≤ 100 fL) and abnormal (Hb < 12 g/dL and/or MCV < 80 fL). The Area Under the Receiver Operating Characteristic (AUROC) curve was used to determine the performance of HbA1c in detecting dysglycaemic status (prediabetes and diabetes). There were 771 (78.3%) women with normal RBC indices. The AUROCs for the normal and abnormal groups were 0.75 (95% confidence interval 0.69, 0.81) and 0.80 (0.70, 0.90), respectively, and were not statistically different from one another [difference 0.04 (− 0.16, 0.08)]. Further stratification by ethnicity showed no difference between the two groups among Chinese and Indian women. However, Malay women with normal RBC indices displayed lower AUROC compared to those with abnormal RBC indices (0.71 (0.55, 0.87) vs. 0.98 (0.93, 1.00), p = 0.002). The results suggest that the performance of HbA1c in detecting dysglycaemia was not influenced by abnormal RBC indices based on low Hb and/or low MCV. However, there may be ethnic variations among them.
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spelling pubmed-85310172021-10-22 Influence of red blood cell indices on HbA1c performance in detecting dysglycaemia in a Singapore preconception cohort study Loy, See Ling Lin, Jinjie Cheung, Yin Bun Sreedharan, Aravind Venkatesh Chin, Xinyi Godfrey, Keith M. Tan, Kok Hian Shek, Lynette Pei-Chi Chong, Yap Seng Leow, Melvin Khee-Shing Khoo, Chin Meng Lee, Yung Seng Chan, Shiao-Yng Lek, Ngee Chan, Jerry Kok Yen Yap, Fabian Sci Rep Article Abnormalities of red blood cell (RBC) indices may affect glycated haemoglobin (HbA1c) levels. We assessed the influence of haemoglobin (Hb) and mean corpuscular volume (MCV) on the performance of HbA1c in detecting dysglycaemia among reproductive aged women planning to conceive. Women aged 18–45 years (n = 985) were classified as normal (12 ≤ Hb ≤ 16 g/dL and 80 ≤ MCV ≤ 100 fL) and abnormal (Hb < 12 g/dL and/or MCV < 80 fL). The Area Under the Receiver Operating Characteristic (AUROC) curve was used to determine the performance of HbA1c in detecting dysglycaemic status (prediabetes and diabetes). There were 771 (78.3%) women with normal RBC indices. The AUROCs for the normal and abnormal groups were 0.75 (95% confidence interval 0.69, 0.81) and 0.80 (0.70, 0.90), respectively, and were not statistically different from one another [difference 0.04 (− 0.16, 0.08)]. Further stratification by ethnicity showed no difference between the two groups among Chinese and Indian women. However, Malay women with normal RBC indices displayed lower AUROC compared to those with abnormal RBC indices (0.71 (0.55, 0.87) vs. 0.98 (0.93, 1.00), p = 0.002). The results suggest that the performance of HbA1c in detecting dysglycaemia was not influenced by abnormal RBC indices based on low Hb and/or low MCV. However, there may be ethnic variations among them. Nature Publishing Group UK 2021-10-21 /pmc/articles/PMC8531017/ /pubmed/34675297 http://dx.doi.org/10.1038/s41598-021-00445-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Loy, See Ling
Lin, Jinjie
Cheung, Yin Bun
Sreedharan, Aravind Venkatesh
Chin, Xinyi
Godfrey, Keith M.
Tan, Kok Hian
Shek, Lynette Pei-Chi
Chong, Yap Seng
Leow, Melvin Khee-Shing
Khoo, Chin Meng
Lee, Yung Seng
Chan, Shiao-Yng
Lek, Ngee
Chan, Jerry Kok Yen
Yap, Fabian
Influence of red blood cell indices on HbA1c performance in detecting dysglycaemia in a Singapore preconception cohort study
title Influence of red blood cell indices on HbA1c performance in detecting dysglycaemia in a Singapore preconception cohort study
title_full Influence of red blood cell indices on HbA1c performance in detecting dysglycaemia in a Singapore preconception cohort study
title_fullStr Influence of red blood cell indices on HbA1c performance in detecting dysglycaemia in a Singapore preconception cohort study
title_full_unstemmed Influence of red blood cell indices on HbA1c performance in detecting dysglycaemia in a Singapore preconception cohort study
title_short Influence of red blood cell indices on HbA1c performance in detecting dysglycaemia in a Singapore preconception cohort study
title_sort influence of red blood cell indices on hba1c performance in detecting dysglycaemia in a singapore preconception cohort study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531017/
https://www.ncbi.nlm.nih.gov/pubmed/34675297
http://dx.doi.org/10.1038/s41598-021-00445-w
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