The University of Southampton
University of Southampton Institutional Repository

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

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

2045-2322
Loy, See Ling
6fd10b64-1de2-419e-a5f4-b505be233e6e
Lin, Jinjie
9ff364f1-0d96-4d46-88e0-7fe98cd3097b
Cheung, Yin Bun
c9beaf35-87d8-47f0-b41e-729e7820f991
Sreedharan, Aravind Venkatesh
1f1c705c-b9a5-4f78-8d64-94a4b41635c5
Chin, Xinyi
9607854e-a5a7-4e66-accf-36b32ac45f7c
Godfrey, Keith
0931701e-fe2c-44b5-8f0d-ec5c7477a6fd
Tan, Kok Hian
4714c94d-334a-42ad-b879-f3aa3a931def
Shek, Lynette P.
9a77403c-0e0c-4536-a5ad-628ce94b279a
Chong, Yap-Seng
7043124b-e892-4d4b-8bb7-6d35ed94e136
Leow, Melvin Khee-Shing
b8c72ca5-6a27-4e19-83fe-216fe6f8c536
Khoo, Chin Meng
0c1a537b-4ccd-4971-84ee-14e478f28bea
Lee, Yung Seng
0e28a8d6-3085-4086-9fa1-ac0684783bcf
Chan, Shiao-Yng
3c9d8970-2cc4-430a-86a7-96f6029a5293
Lek, Ngee
517c4b9b-b6c9-4625-9db4-fd2b228b1755
Chan, Jerry Kok Yen
5d469084-919c-4857-9a87-0da7fcd7e77d
Yap, Fabian
22f6b954-31fc-4696-a52b-e985a424b95b
Loy, See Ling
6fd10b64-1de2-419e-a5f4-b505be233e6e
Lin, Jinjie
9ff364f1-0d96-4d46-88e0-7fe98cd3097b
Cheung, Yin Bun
c9beaf35-87d8-47f0-b41e-729e7820f991
Sreedharan, Aravind Venkatesh
1f1c705c-b9a5-4f78-8d64-94a4b41635c5
Chin, Xinyi
9607854e-a5a7-4e66-accf-36b32ac45f7c
Godfrey, Keith
0931701e-fe2c-44b5-8f0d-ec5c7477a6fd
Tan, Kok Hian
4714c94d-334a-42ad-b879-f3aa3a931def
Shek, Lynette P.
9a77403c-0e0c-4536-a5ad-628ce94b279a
Chong, Yap-Seng
7043124b-e892-4d4b-8bb7-6d35ed94e136
Leow, Melvin Khee-Shing
b8c72ca5-6a27-4e19-83fe-216fe6f8c536
Khoo, Chin Meng
0c1a537b-4ccd-4971-84ee-14e478f28bea
Lee, Yung Seng
0e28a8d6-3085-4086-9fa1-ac0684783bcf
Chan, Shiao-Yng
3c9d8970-2cc4-430a-86a7-96f6029a5293
Lek, Ngee
517c4b9b-b6c9-4625-9db4-fd2b228b1755
Chan, Jerry Kok Yen
5d469084-919c-4857-9a87-0da7fcd7e77d
Yap, Fabian
22f6b954-31fc-4696-a52b-e985a424b95b

Loy, See Ling, Lin, Jinjie, Cheung, Yin Bun, Sreedharan, Aravind Venkatesh, Chin, Xinyi, Godfrey, Keith, Tan, Kok Hian, Shek, Lynette P., Chong, Yap-Seng, Leow, Melvin Khee-Shing, Khoo, Chin Meng, Lee, Yung Seng, Chan, Shiao-Yng, Lek, Ngee, Chan, Jerry Kok Yen and Yap, Fabian (2021) Influence of red blood cell indices on HbA1c performance in detecting dysglycaemia in a Singapore preconception cohort study. Scientific Reports, 11 (1), [20850]. (doi:10.1038/s41598-021-00445-w).

Record type: Article

Abstract

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.

Text
Manuscript_SR_revision 2 (complete) - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (710kB)

More information

Accepted/In Press date: 12 October 2021
Published date: 21 October 2021

Identifiers

Local EPrints ID: 452241
URI: http://eprints.soton.ac.uk/id/eprint/452241
ISSN: 2045-2322
PURE UUID: 884e2c15-3bf0-44c0-91f7-079eb50e6e1c
ORCID for Keith Godfrey: ORCID iD orcid.org/0000-0002-4643-0618

Catalogue record

Date deposited: 01 Dec 2021 17:34
Last modified: 17 Mar 2024 02:38

Export record

Altmetrics

Contributors

Author: See Ling Loy
Author: Jinjie Lin
Author: Yin Bun Cheung
Author: Aravind Venkatesh Sreedharan
Author: Xinyi Chin
Author: Keith Godfrey ORCID iD
Author: Kok Hian Tan
Author: Lynette P. Shek
Author: Yap-Seng Chong
Author: Melvin Khee-Shing Leow
Author: Chin Meng Khoo
Author: Yung Seng Lee
Author: Shiao-Yng Chan
Author: Ngee Lek
Author: Jerry Kok Yen Chan
Author: Fabian Yap

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×