Association between Hemoglobin and Hemoglobin A<sub>1c</sub>: A Data-Driven Analysis of Health Checkup Data in Japan
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- Takeuchi, Masato
- Department of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University
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- Kawakami, Koji
- Department of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University
Bibliographic Information
- Other Title
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- Association between Hemoglobin and Hemoglobin A1c: A Data-Driven Analysis of Health Checkup Data in Japan
Abstract
Background: Interpretation of hemoglobin A1c (HbA1c) levels may be confounded by spurious results in anemic persons, but its degree is not well-established. Methods: We used an employer-based health insurance database, containing health checkup data and medical claims data; both were linked via a unique identifier of each beneficiary. This study included persons aged 18–75 years who participated in health checkups, with a confirmed or suspected diagnosis of diabetes. The relationship between hemoglobin (Hb) and HbA1c is shown in a spline curve using a machine learning technique accounting for patient factors and within-person correlations. Spline curves were also shown in several sub-populations. Results: Overall, a decreased Hb value was associated with a lower HbA1c value, but the extent differed among populations. In the whole cohort of the type-2 diabetes group (55, 420 persons), the curve was generally a plateau in the persons with a Hb value <120–130 g/L. Among the 18, 478 persons with HbA1c around 48 mmol/mol, we observed a liner trend. Among the current glucose-lowering medication users (6253 persons), we found a right upward curve. Conclusions: The relationship between Hb and HbA1c may not be straightforward, varying among populations of different clinical interest. Our results indicate that a simple formulation between the Hb and HbA1c values is unlikely.
Journal
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- Journal of clinical medicine
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Journal of clinical medicine 7 (12), 539-, 2018-12
MDPI AG
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Details 詳細情報について
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- CRID
- 1050564289223088768
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- NII Article ID
- 120006777068
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- ISSN
- 20770383
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- HANDLE
- 2433/245363
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- Text Lang
- en
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- Article Type
- journal article
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- Data Source
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- IRDB
- Crossref
- CiNii Articles
- KAKEN