Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41598-021-00445-w
Title: Influence of red blood cell indices on HbA1c performance in detecting dysglycaemia in a Singapore preconception cohort study
Authors: 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 
Keywords: Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
GLUCOSE-TOLERANCE TEST
IRON-DEFICIENCY
BETA-THALASSEMIA
HBA(1C)
DIAGNOSIS
A1C
ACCURACY
ANEMIA
Issue Date: 21-Oct-2021
Publisher: NATURE PORTFOLIO
Citation: 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 (2021-10-21). Influence of red blood cell indices on HbA1c performance in detecting dysglycaemia in a Singapore preconception cohort study. SCIENTIFIC REPORTS 11 (1). ScholarBank@NUS Repository. https://doi.org/10.1038/s41598-021-00445-w
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.
Source Title: SCIENTIFIC REPORTS
URI: https://scholarbank.nus.edu.sg/handle/10635/216258
ISSN: 20452322
DOI: 10.1038/s41598-021-00445-w
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