Journal of Atherosclerosis and Thrombosis
Online ISSN : 1880-3873
Print ISSN : 1340-3478
ISSN-L : 1340-3478
Undiagnosed Coronary Artery Disease in Hemodialysis-Initiating Patients
Hirohito SugawaraKiryu YoshidaHiroya ShigematsuYuki MimuraTakafumi FujitaYoshinori SaitoMasanori KatoMasahiro YamamotoHidetoshi ItoSuguru ShimazuMasahiko OchiaiHiroaki Ogata
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JOURNAL OPEN ACCESS Advance online publication

Article ID: 65670

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Abstract

Aims: To present an update on undiagnosed coronary artery disease (CAD) in patients starting hemodialysis at a Japanese hospital, with a focus on CAD prevalence, risk factors, and coronary lesions’ distribution in this population.

Methods: A cross-sectional, retrospective study of patients who began hemodialysis due to end-stage renal disease (ESRD) in a Japanese hospital between January 2009 and December 2023 and underwent coronary computed tomography (CCT) was carried out. Coronary artery disease was screened using CCT immediately after the initiation of hemodialysis and then confirmed by CCT/coronary angiography (CAG). Based on these evaluations, patients were divided into CAD and non-CAD groups, and their demographic and clinical characteristics were compared. Logistic regression analysis was performed to detect factors associated with CAD. Additionally, variations in CAD prevalence and coronary artery calcification scores (CACS) over time were assessed considering 3-year intervals.

Results: Data from 272 patients were included. CAD was observed in nearly half (47%) of them. Lesions were mainly observed in the left anterior descending artery (73%). The prevalence of a coronary artery calcification score of >65 notoriously increased from 2012–2014 to 2015–2017 and thereafter stabilized, while the proportion of patients diagnosed with CAD tended to decrease overall. Multiple regression analysis indicated that only a history of smoking, statin use, low albumin levels, and low HDL-C levels were independently and significantly associated with CAD occurrence in these ESRD patients.

Conclusions: Many well-known CAD risk factors in the general population were not predictors of undiagnosed CAD in our target population.

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