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dc.contributor.author | Takeuchi, Masato | en |
dc.contributor.author | Kawakami, Koji | en |
dc.contributor.alternative | 竹内, 正人 | ja |
dc.contributor.alternative | 川上, 浩司 | ja |
dc.date.accessioned | 2020-01-10T07:41:23Z | - |
dc.date.available | 2020-01-10T07:41:23Z | - |
dc.date.issued | 2018-12 | - |
dc.identifier.issn | 2077-0383 | - |
dc.identifier.uri | http://hdl.handle.net/2433/245363 | - |
dc.description.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. | en |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | MDPI AG | en |
dc.rights | © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | en |
dc.subject | anemia | en |
dc.subject | diabetes mellitus | en |
dc.subject | spline curve | en |
dc.subject | generalized additive mixed model | en |
dc.subject | machine learning | en |
dc.title | Association between Hemoglobin and Hemoglobin A<sub>1c</sub>: A Data-Driven Analysis of Health Checkup Data in Japan | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | Journal of clinical medicine | en |
dc.identifier.volume | 7 | - |
dc.identifier.issue | 12 | - |
dc.relation.doi | 10.3390/jcm7120539 | - |
dc.textversion | publisher | - |
dc.identifier.artnum | 539 | - |
dc.address | Department of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University | en |
dc.address | Department of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University | en |
dc.identifier.pmid | 30545047 | - |
dcterms.accessRights | open access | - |
出現コレクション: | 学術雑誌掲載論文等 |
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