Evidence map›Paper›PMID 42015910›Full record

ArticleJournal of diabetes investigation2026

Serum nonmercaptalbumin to total albumin ratio and bilirubin predict ADL decline in older adults with type 2 diabetes.

Yukihiro Inoguchi, Toyoshi Inoguchi, Keiko Yasukawa, Saki Fukuhara, Tomoaki Etoh, Mitsunori Masakado, Mayumi Yamato, Fumio Umeda, Yutaka Yatomi, Teruaki Yamauchi and 1 more

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Article in Journal of diabetes investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Yukihiro InoguchiDivision of Endocrinology and Metabolism, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan.
Toyoshi InoguchiFukuoka City Health Promotion Support Center, Fukuoka City Medical Association, Fukuoka, Japan.ORCID https://orcid.org/0000-0001-8135-0034
Keiko YasukawaDepartment of Clinical Laboratory, The University of Tokyo Hospital, Bunkyo-ku, Japan.
Saki FukuharaDivision of Diabetes and Endocrinology, National Hospital Organization Beppu Medical Center, Beppu, Japan.
Tomoaki EtohYukuhashi Central Hospital, Yukuhashi, Japan.
Mitsunori MasakadoYukuhashi Central Hospital, Yukuhashi, Japan.
Mayumi YamatoYukuhashi Central Hospital, Yukuhashi, Japan.
Fumio UmedaYukuhashi Central Hospital, Yukuhashi, Japan.
Yutaka YatomiGraduate School, International University of Health and Welfare, Minato-ku, Japan.
Teruaki YamauchiYukuhashi Central Hospital, Yukuhashi, Japan.
Masatoshi NomuraDivision of Endocrinology and Metabolism, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS/

introductionTo determine whether the ratio of human nonmercaptalbumin to total albumin (HNA%) and serum bilirubin-two oxidative stress-related biomarkers-predicts incident disability in activities of daily living (ADL) among older adults with type 2 diabetes. MATERIALS AND

methodsIn this longitudinal cohort study, we followed 101 adults aged ≥70 years with type 2 diabetes who had no baseline ADL disability. The primary outcome was incident ADL disability requiring long-term care certification, a standardized national system in Japan indicating clinically significant physical impairment. Cox proportional hazards models, restricted cubic splines, and nonparametric bootstrap resampling (1,000 iterations) were used to assess associations.

resultsDuring the 7-year follow-up, 28 participants (27.7%) developed ADL disability. Those who became disabled had higher HNA% and older age, and lower serum bilirubin and albumin at baseline. Restricted cubic splines demonstrated linear increases in disability risk with higher HNA% and linear decreases with higher bilirubin. In the primary multivariable model including HNA%, bilirubin, and age, all remained independent predictors (HNA%: HR 1.063, 95% CI 1.005-1.124; bilirubin: HR 0.740, 95% CI 0.562-0.975; age: HR 1.115, 95% CI 1.032-1.206). This model improved discrimination compared with age alone, demonstrated the lowest Akaike's Information Criterion, and showed good calibration. Bootstrap analyses confirmed the robustness and stability of the model.

conclusionsHigher HNA%, lower serum bilirubin, and their combined assessment predicted future ADL decline in older adults with type 2 diabetes. These complementary redox biomarkers may contribute to improved risk stratification for functional deterioration.

Indexed as

Activities of Daily LivingBilirubinDiabetes Mellitus, Type 2Serum AlbuminAgedAged, 80 and overBiomarkersFemaleFollow-Up StudiesHumansJapanLongitudinal StudiesMaleOxidative StressPrognosisBilirubinBiomarkersSerum AlbuminAgingOxidative stressType 2 diabetes

Identifiers

PMID42015910
PMCPMC13327312

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.