Evidence map›Paper›PMID 41804023›Full record

ArticleJournal of diabetes investigation2026

Association of low-grade albuminuria and triple-line pattern as markers of early peripheral vascular remodeling in adolescents with type 1 diabetes.

Jung-Chi Hsu, Fu-Sung Lo, Jiann-Shing Jeng, Wen-Yu Tsai, Sandy Huey-Jen Hsu, Hsiang Yang, Tien-Jyun Chang, Ta-Chen Su

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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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jung-Chi HsuDepartment of Internal Medicine, National Taiwan University Hospital, Jinshan Branch, New Taipei City, Taiwan.
Fu-Sung LoDivision of Pediatric Endocrinology, Department of Pediatrics, Chang Gung Memorial Hospital, Chung Gung University College of Medicine, Taoyuan City, Taiwan.
Jiann-Shing JengDepartment of Neurology, National Taiwan University Hospital, Taipei, Taiwan.
Wen-Yu TsaiDepartment of Pediatrics, National Taiwan University College of Medicine, Taipei, Taiwan.
Sandy Huey-Jen HsuDepartment of Laboratory Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan.
Hsiang YangDepartment of Dentistry, National Taiwan University Hospital, Taipei, Taiwan.
Tien-Jyun ChangDivision of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Ta-Chen SuDivision of Cardiology, Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.ORCID https://orcid.org/0000-0001-7523-7166

Funding

National Science and Technology Council NSTC-114-2314-B-860-002
6 · The paper itself

Abstract

backgroundAdolescents with type 1 diabetes (T1D) face premature atherosclerosis, but standard carotid intima-media thickness (IMT) may lack sensitivity for the earliest vascular injuries. Since urinary albumin-to-creatinine ratio (UACR) reflects systemic endothelial dysfunction, we investigated the triple-line pattern (TLP) as a marker of peripheral remodeling and its dose-response relationship with low-grade albuminuria.

methodsThe Subclinical Cardiovascular Disease in Type 1 Diabetes Mellitus (SCVD T1DM) cohort study prospectively recruited 283 adolescents with T1D and 106 age- and sex-matched controls. IMT was measured at the common carotid artery and common femoral artery (CFA) using high-resolution ultrasound. Logistic regression tested categorical UACR thresholds, and restricted cubic spline models evaluated the continuous dose-response association between UACR and TLP.

resultsTLP prevalence was higher in type 1 diabetes than in controls (63.9% vs 49.1%, P = 0.008). While type 1 diabetes was associated with carotid thickening, TLP was linked to structural changes in the lower extremities. TLP-positive participants had greater mean CFA IMT (0.56 ± 0.06 vs 0.44 ± 0.06 mm, P < 0.001). UACR ≥15 mg/g independently predicted TLP (odds ratio 2.83, 95% confidence interval 1.01-7.92, P = 0.048), whereas UACR ≥30 mg/g was not significant. Spline analysis showed no significant nonlinearity (P for nonlinearity = 0.424), with risk increasing above approximately 15 mg/g.

conclusionsTLP is a prevalent marker of incipient peripheral vascular remodeling in adolescents with type 1 diabetes without macroalbuminuria. A UACR ≥15 mg/g identifies subclinical vascular risk below conventional thresholds, supporting TLP as a potential tool for refined early risk stratification in this population.

Indexed as

AlbuminuriaDiabetes Mellitus, Type 1Vascular RemodelingAdolescentBiomarkersCarotid Intima-Media ThicknessCase-Control StudiesChildFemaleFollow-Up StudiesHumansMalePrognosisProspective StudiesBiomarkersMicroalbuminuriaTriple‐line patternType 1 diabetes

Identifiers

PMID41804023
PMCPMC13137266

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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 OpenQuestion graph.