Evidence map›Paper›PMID 40786290›Full record

ArticleCureus2025

Association Between Ankle-Brachial Index and Coronary Artery Calcification Score in Patients Beginning Hemodialysis.

Kiryu Yoshida, Hirohito Sugawara, Hiroki Mizuyama, Hiroya Shigematsu, Takafumi Fujita, Yoshinori Saito, Masanori Kato, Akiko Takeshima, Masahiro Yamamoto, Hidetoshi Ito

Abstract read
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Article in Cureus, 2025. 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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

10 authors.

Kiryu YoshidaDivision of Nephrology, Department of Internal Medicine, Showa Medical University Northern Yokohama Hospital, Yokohama, JPN.
Hirohito SugawaraDivision of Nephrology, Department of Internal Medicine, Showa Medical University Northern Yokohama Hospital, Yokohama, JPN.
Hiroki MizuyamaDivision of Nephrology, Department of Internal Medicine, Showa Medical University Northern Yokohama Hospital, Yokohama, JPN.
Hiroya ShigematsuDivision of Nephrology, Department of Internal Medicine, Showa Medical University Northern Yokohama Hospital, Yokohama, JPN.
Takafumi FujitaDivision of Nephrology, Department of Internal Medicine, Showa Medical University Northern Yokohama Hospital, Yokohama, JPN.
Yoshinori SaitoDivision of Nephrology, Department of Internal Medicine, Showa Medical University Northern Yokohama Hospital, Yokohama, JPN.
Masanori KatoDivision of Nephrology, Department of Internal Medicine, Showa Medical University Northern Yokohama Hospital, Yokohama, JPN.
Akiko TakeshimaDivision of Nephrology, Department of Internal Medicine, Showa Medical University Northern Yokohama Hospital, Yokohama, JPN.
Masahiro YamamotoDivision of Nephrology, Department of Internal Medicine, Showa Medical University Northern Yokohama Hospital, Yokohama, JPN.
Hidetoshi ItoDivision of Nephrology, Department of Internal Medicine, Showa Medical University Northern Yokohama Hospital, Yokohama, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Patients initiating hemodialysis (HD) are at high risk for cardiovascular disease. The ankle-brachial index (ABI) is a simple and widely used tool to detect peripheral artery disease and reflects different patterns of vascular calcification: low ABI indicates intimal arterial calcification, while high ABI may suggest medial arterial calcification (MAC). Coronary artery calcium score (CACS), a marker of coronary atherosclerosis, may reflect both IAC and MAC, though it does not distinguish between them. However, the association between ABI and CACS at HD initiation remains unclear. Methods In this single-center cross-sectional study, we included 204 patients who initiated HD and underwent both ABI and coronary CT between November 2013 and December 2023, at the time of dialysis initiation. Patients with ischemic heart disease or prior peritoneal dialysis were excluded to reduce confounding due to coronary interventions or altered baseline parameters. ABI was measured using an automated oscillometric device; the mean of bilateral values was used. ABI was categorized as low (≤0.90), normal (0.91-1.30), or high (>1.30). CACS was compared using the Wilcoxon rank-sum test. Multivariable restricted cubic spline (RCS) models with three knots assessed nonlinear associations between ABI and log-transformed CACS. Logistic regression evaluated the association between the ABI group and high CACS (>400). Models were adjusted for age, sex, diabetes, BMI, smoking status, estimated glomerular filtration rate, serum albumin, CRP, calcium, phosphate, and statin use. Subgroup analyses by sex and diabetes status were also performed. Results Median CACS values with IQRs were 930.5 (159.3-2241.1) for the low ABI group, 315.7 (58.5-1046.6) for the normal ABI group, and 54.3 (0.0-413.5) for the high ABI group. Compared to the normal group, low ABI was significantly associated with higher CACS (p = 0.037), while high ABI was associated with lower CACS (p = 0.002). RCS analysis in the unadjusted model showed a curve similar to group-wise comparisons. In the age-adjusted and fully adjusted models, the spline curve in the low ABI range tended to decline. Logistic regression showed a similar trend: low ABI was associated with high CACS in the unadjusted model (OR 2.74, p = 0.029), but the association diminished in the fully adjusted model (OR 1.29, p = 0.651). High ABI was associated with lower odds of high CACS across models, though not statistically significant. Although statistical significance was inconsistent, subgroup analyses stratified by sex and diabetes showed directionally similar trends, and interaction terms in logistic models were not significant. Conclusions In patients at the initiation of HD, low ABI (≤0.9) was associated with higher CACS, whereas high ABI (>1.3) was associated with lower CACS. Multivariable analysis indicated that elevated CACS in the low ABI group may be largely influenced by background factors such as age. In contrast, the relatively low CACS in the high ABI group may suggest delayed progression of MAC from peripheral to central arteries, although this remains a hypothesis-generating observation. These findings underscore the potential utility of ABI and CACS as complementary tools for early cardiovascular risk stratification in incident HD patients and may inform future research on vascular calcification dynamics.

Indexed as

abiankle-brachial indexcacschronic kidney diseasecoronary artery calcium scoredialysishemodialysismedial arterial calcification

Identifiers

PMID40786290
PMCPMC12335902

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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.