---
title: "Gallstones Associated with Subclinical Coronary Atherosclerosis and Noncalcified Plaque in Asympto"
id: "plos-one-14-association-between-gallstones-and-subclinical-coronary-atherosclerosis-an"
canonical_url: "https://medichelpline.com/clinical-feed/plos-one-14-association-between-gallstones-and-subclinical-coronary-atherosclerosis-an"
content_type: "clinical_feed_article"
specialty: "Cardiology"
source_name: "PLOS ONE (Medicine)"
source_url: "https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0356142"
published_at: "2026-08-14T14:00:00.000Z"
evidence_level: "Journal Feed"
license: "CC-BY-NC-4.0 / Informational Use"
---
# Gallstones Associated with Subclinical Coronary Atherosclerosis and Noncalcified Plaque in Asympto
## Provenance & Clinical Metadata
- **Canonical URL:** https://medichelpline.com/clinical-feed/plos-one-14-association-between-gallstones-and-subclinical-coronary-atherosclerosis-an
- **Specialty:** [Cardiology](https://medichelpline.com/clinical-feed/cardiology.md)
- **Primary Source:** PLOS ONE (Medicine)
- **Source URL:** [Original Journal Publication](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0356142)
- **Published At:** 2026-08-14T14:00:00.000Z
- **Evidence Rating:** Journal Feed
## Executive GIST (TL;DR)
- This retrospective observational study evaluated the association between **gallstones** and subclinical coronary atherosclerosis in 9,113 asymptomatic Korean adults who underwent coronary computed tomographic angiography (**CCTA**) during health screening. - Gallstones were identified by transabdominal ultrasonography; coronary plaque type and stenosis severity were assessed by CCTA. Clinically significant stenosis was defined as diameter stenosis ≥50%. - The cohort mean age was 53.7 years; 64.8% were men. Overall gallstone prevalence in the sample was 5.5% (503/9,113). - Multivariable logistic regression and propensity score matching analyses were used to adjust for confounders and examine associations. - After adjustment, gallstones were independently associated with **noncalcified plaque** (adjusted OR 1.728; 95% CI 1.267–2.357; p = 0.001) and with **significant coronary artery stenosis** (adjusted OR 1.386; 95% CI 1.002–1.917; p = 0.049). - The authors interpret noncalcified plaque as a higher-risk plaque phenotype; the observed associations suggest that individuals with gallstones may harbor subclinical coronary atherosclerosis linked to worse cardiac outcomes. - The study excluded individuals with prior coronary artery disease and used standard clinical and laboratory measurements (BMI, blood pressure, lipid panels, HbA1c, CRP, ECG, echocardiography) and Asian-specific BMI cutoffs for obesity. - Data access is restricted by institutional review board and privacy regulations; the study was IRB-approved with waiver of informed consent. Funding sources and competing interest statements are reported in the source. - The authors conclude clinicians should recognize the potential for subclinical coronary atherosclerosis in patients with gallstones and manage cardiovascular risk factors accordingly.
## Clinical Analysis & Structured Key Points
Association between gallstones and subclinical coronary atherosclerosis: An observational study with propensity score matching | PLOS One Browse Subject Areas ? Click through the PLOS taxonomy to find articles in your field. For more information about PLOS Subject Areas, click here . Article Authors Metrics Comments Media Coverage Reader Comments Figures Figures Abstract Previous studies reporting an association between gallstones and coronary artery disease have not considered the types of coronary artery plaque. Additionally, the association between gallstones and subclinical coronary atherosclerosis has not been clearly elucidated. Therefore, this study aimed to analyze the association between gallstones and subclinical coronary atherosclerosis based on the type of coronary artery plaque in asymptomatic Koreans using coronary computed tomography angiography. We retrospectively analyzed 9,113 individuals (mean age, 53.7 ± 8.0 years; 5,907 men [64.8%]) who had no history of coronary artery disease and underwent a general medical checkup. Gallstones were diagnosed by transabdominal ultrasonography. Coronary computed tomographic angiography was used to evaluate the type of coronary artery plaque and the severity of subclinical coronary atherosclerosis, and a diameter stenosis of ≥50% was considered clinically significant. Logistic regression and propensity score matching analyses were performed to determine the association between gallstones and subclinical coronary atherosclerosis. Among the study participants, 503 (5.5%) had gallstones. After adjusting for risk factors, significant associations were found between gallstones and noncalcified plaque (adjusted odds ratio [OR], 1.728; 95% confidence interval [CI] 1.267–2.357; p = 0.001), as well as between gallstones and significant coronary artery stenosis (adjusted OR, 1.386; 95% CI, 1.002–1.917; p = 0.049). In asymptomatic individuals, gallstones were independently associated with noncalcified plaque (the high-risk plaque) and significant coronary artery stenosis which is often linked to poorer cardiac outcomes. It is crucial to acknowledge the potential for subclinical coronary atherosclerosis and to effectively manage cardiovascular risk factors in individuals with gallstones. Citation: Kim S, So H, Park HW, Park S, Lee SB, Ann SH, et al. (2026) Association between gallstones and subclinical coronary atherosclerosis: An observational study with propensity score matching. PLoS One 21(8): e0356142. https://doi.org/10.1371/journal.pone.0356142 Editor: Lanlan Chen, Charite Universitatsmedizin Berlin, GERMANY Received: June 7, 2026; Accepted: July 30, 2026; Published: August 14, 2026 Copyright: © 2026 Kim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability: The data underlying the findings of this study contain potentially identifiable and sensitive patient information derived from hospital medical records. The study was approved as an exempt retrospective study by the institutional Review Board of Ulsan University Hospital (IRB file No. UUH 2023-07-065), with a waiver of informed consent. Due to ethical and legal restrictions imposed by the institutional Review Board and applicable privacy regulations, the data cannot be made publicly availble. Data are available from the Ulsan University Hospital Institutional Data Access Committee for researchers who meet the criteria for access to confidential data. Requests for data access may be directed to Institutional Review Board of Ulsan University Hospital. (email: 0716782@uuh.ulsan.kr ). Funding: This research was supported by grants of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health and Welfare, Republic of Korea (HI23C0896) and the medical data-driven hospital support project through the Korea Health Information Service funded by the Ministry of Health and Welfare, Republic of Korea. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing interests: The authors have declared that no competing interests exist. Introduction Coronary artery disease (CAD) stands as a leading global cause of mortality [ 1 ]. There is a high demand for effective and cost-efficient preventions and treatments to decrease the risk of CAD [ 2 ]. Age, male, obesity, smoking, diabetes mellitus, hypertension, and hyperlipidemia are risk factors for CAD [ 3 – 5 ]. Controlling its risk factors, such as weight control, smoking cessation, treatment of diabetes mellitus, hypertension, and hyperlipidemia is key to the prevention and management of CAD [ 6 – 10 ]. However, the exact understanding of CAD risk factors remains incomplete. Gallstones have been suggested to be associated with CAD. Risk factors for gallstone disease include age, female, rapid weight loss, overweight or obese, and certain medical conditions, such as diabetes mellitus and liver disease [ 11 ]. Although gallstones and CAD share common risk factors, several studies have reported an association between gallstones and CAD even after adjustment for these confounding factors [ 12 , 13 ]. However, in a large cohort of Korean adults, Kwon et al. found no significant association between gallstone disease and coronary artery calcification (CAC), which is a marker of subclinical atherosclerosis and a significant predictor of future CAD [ 14 ]. We hypothesized that the inconsistency was caused by the types of coronary artery plaque. Previous studies reporting an association between gallstones and CAD have not considered the types of coronary artery plaque. Additionally, the association between gallstones and subclinical coronary atherosclerosis has not been clearly elucidated. Therefore, this study aimed to analyze the association between gallstones and subclinical coronary atherosclerosis in asymptomatic Koreans using coronary computed tomography angiography (CCTA). Methods Ethics statements This retrospective study was approved by the local Institutional Review Board of Ulsan University Hospital, Ulsan, Korea (IRB file No. UUH 2023-07-065). The requirement for patients’ informed consent was waived due to the retrospective design of this study. The data underlying the findings of this study are maintained by the Ulsan University Hospital Institutional Data Access Committee and made available only to researchers who meet the criteria for access to confidential data. Having met these institutional access criteria, the authors accessed the coded data for research purposes from August 24, 2023, to February 28, 2024. Study population A retrospective analysis was conducted on 10,581 Korean individuals aged ≥20 years who underwent self-referral CCTA as a part of general health examination at Ulsan University Hospital’s Health Promotion Center between January 2009 and March 2020. Fig 1 presents the participant selection process in detail. A total of 9,113 individuals were included in this study after excluding ineligible individuals. Download: PNG larger image TIFF original image Fig 1. Flow chart of the participant selection process. CCTA, coronary computed tomographic angiography; MI, myocardial infarction; PCI, percutaneous coronary intervention. https://doi.org/10.1371/journal.pone.0356142.g001 Clinical and laboratory measurements The clinical and laboratory data were obtained from the participants’ electronic medical records and Ulsan University Hospital’s clinical data warehouse platform [ 15 , 16 ]. During the general health examination, body weight, height, waist circumference, and blood pressure were measured using standard methods as previously described [ 15 , 16 ]. Blood samples taken after an overnight fast were analyzed for levels of hemoglobin A1c, fasting glucose, total cholesterol, triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol (HDL-C), creatinine, uric acid, bilirubin, aspartate aminotransferase, alanine aminotransferase, gamma-glutamyl transpeptidase, alkaline phosphatase, and C-reactive protein (CRP). Every participant underwent standard 12-lead electrocardiography. Echocardiography was also performed to evaluate the left ventricular ejection fraction. According to the World Health Organization’s recommended Asian-specific cutoff value, obesity was classified as a body mass index of ≥25 kg/m 2 [ 15 , 16 ]. Diabetes mellitus was defined as having a hemoglobin A1c level of ≥6.5%, a fasting plasma glucose level of ≥126 mg/dL, or a self-reported history of diabetes mellitus and/or treatment of diabetes mellitus with antidiabetic medication or dietary modification [ 15 , 16 ]. Hypertension was defined as having a self-reported history of hypertension with or without the use of antihypertensive medication, systolic blood pressure of ≥140 mmHg, or diastolic blood pressure of ≥90 mmHg [ 15 , 16 ]. Hyperlipidemia was defined as either a self-reported history of hyperlipidemia and/or use of antihyperlipidemic treatment or a total cholesterol level of ≥240 mg/dL [ 15 , 16 ]. If individuals had a first-degree relative with CAD, they were considered to have a family history of CAD [ 17 ]. The 10-year CAD risk for each participant was computed on the basis of previous studies’ calculations [ 3 , 4 ]. Evaluation of gallstones Gallstones were identified using ultrasonography after overnight fasting. The ultrasonographic evaluation was performed using an iU22 ultrasound scanner or an Affiniti 70G ultrasound scanner with a C5-1 convex transducer (Philips Healthcare, Bothell, WA, USA). The ultrasonographic characteristics of gallstones include the presence of posterior acoustic shadowing, gallstone mobility with changes in the individual’s position, and a highly reflective echo from the anterior surface of the gallstone [ 18 ]. CCTA image acquisition and analysis CCTA was performed using either a single-source 256-slice computed tomography (CT) scanner (Brilliance iCT; Philips Healthcare, Best, Netherlands) or a dual-source CT equipment (Somatom Definition Flash; Siemens, Erlangen, Germany). As previously described [ 15 , 16 ], a standard scanning protocol was applied. Interpretation of all CCTA images and calcium scoring were carried out by a cardiologist and experienced cardiovascular radiologists (G.M.P., W.J.K., and S.H.C., each with >10 years of experience). This analysis was performed using a dedicated workstation (syngo.via; Siemens or Aquarius iNtuition; TeraRecon, Durham, NC, USA) and followed the guideline provided by the Society of Cardiovascular Computed Tomography [ 19 ]. The coronary artery calcium score (CACS) was determined in accordance with previously described methods, and participants categorized based on their CACS: 0, 1–10, 11–100, 101–400, and >400 [ 20 , 21 ]. Types of coronary artery plaque were defined as follows: 1) calcified plaque: plaques with calcified tissue representing >50% of the plaque area (density >130 Hounsﬁeld units); 2) mixed plaque: plaque with <50% calcium; 3) noncalcified plaque: plaque without calcium [ 22 ]. A diameter stenosis of ≥50% was defined as clinically significant [ 22 ]. Statistical analysis Continuous variables were compared using the unpaired Student’s t-test or nonparametric Mann–Whitney U test, and categorical variables were compared using the chi-square test or Fisher’s exact test, as appropriate. We selected age, sex, obesity, diabetes mellitus, hypertension, hyperlipidemia, current smoker, family history of CAD, and CRP level as clinically significant variables based on previous epidemiologic studies [ 5 , 15 , 16 ]. Multivariable logistic regression analysis was performed using these covariates. A propensity score matching analysis was conducted on the basis of the variables listed in Table 1 to minimize the influence of potential confounding factors between the gallstone group and the non-gallstone group. We matched the individuals with gallstones versus those without gallstones using the one-to-four nearest-neighbor propensity score matching method within a caliper width equal to 0.2. Covariate balance was assessed by comparing the standardized mean differences between the groups after matching. The standardized mean differences in the baseline variables were <0.1 (10%) ( S1 Fig ). The sufficient overlap of propensity score distributions between the gallstone group and the non-gallstone group was verified after matching ( S2 Fig ). Logistic regression analysis with generalized estimating equations for categorical variables that considered the clustering of the matched pairs was used to analyze the risk of subclinical coronary atherosclerosis within the propensity score-matched population. To ensure model stability in the logistic regression analyses, we evaluated the events-per-variable (EPV) ratio, with a threshold of 10 or higher indicating sufficient stability. The data was managed and statistical analyses were conducted using R software (version 4.0.2; R Foundation for Statistical Computing, Vienna, Austria; www.r-project.org ) and SPSS software (version 24; IBM Corp., Armonk, NY, USA). The R “MatchIt” package was used to conduct the propensity score matching. All statistical analyses were two-sided, and a p value less than 0.05 was considered to indicate a statistically significant relationship. Download: PNG larger image TIFF original image Table 1. Baseline characteristics of the study population according to the presence of gallstones. https://doi.org/10.1371/journal.pone.0356142.t001 Results Baseline characteristics The study population had a mean age of 53.7 ± 8.0 years, with 5,907 (64.8%) male participants. Among the study participants, 503 (5.5%) had gallstones. Table 1 presents the baseline characteristics of the participants according to the presence or absence of gallstones. Individuals with gallstones were older and had higher body mass index, waist circumference, systolic blood pressure, and diastolic blood pressure than those without gallstones. The prevalences of obesity, diabetes mellitus, and hypertension were higher in the gallstone group than in the non-gallstone group. Higher levels of hemoglobin A1c, fasting blood glucose, and alkaline phosphatase were also observed in the study participants with gallstones than in those without. In contrast, lower total cholesterol and HDL-C levels were observed in individuals with gallstones than in those without. After 4:1 propensity score matching, there were 2,499 matched participants. The matched study population had a mean age of 55.8 ± 7.9 years, with 1,614 (64.6%) male participants. There were no significant differences in the covariates between the participants with and without gallstones in the matched pairs ( Table 1 ). The number of events for any atherosclerotic plaque, calcified plaque, noncalcified plaque, mixed plaque, and significant coronary artery stenosis in propensity score-matched population is presented in S1 Table . CCTA findings Table 2 presents the CCTA findings of the study population based on the presence or absence of gallstones. The study population’s mean CACS was 37.8 ± 153.1. Individuals with gallstones had a higher CACS than those without ( p < 0.001). Coronary plaques were detected in 3,044 (33.4%) individuals. Specifically, 2,810 (30.8%), 540 (5.9%), and 335 (3.7%) individuals had calcified, noncalcified, and mixed plaques, respectively. The gallstone group had a higher prevalence of any coronary, calciﬁed, noncalciﬁed, or mixed plaque compared with the non-gallstone group (all, p < 0.05). Additionally, 558 individuals (6.1%) had at least one signiﬁcant coronary artery stenosis, and the prevalence of significant coronary artery stenosis was also higher in individuals with gallstones than in those without ( p < 0.001). Download: PNG larger image TIFF original image Table 2. Coronary computed tomographic angiographic findings according to the presence of gallstones. https://doi.org/10.1371/journal.pone.0356142.t002 Association between gallstones and subclinical coronary atherosclerosis In univariable analyses, individuals with gallstones had significantly higher odds of any coronary plaque, calcified plaque, noncalcified plaque, mixed plaque, and significant coronary artery stenosis compared with those without (all, p < 0.05; Table 3 ). After adjusting for risk factors, including age, male, obesity, diabetes mellitus, hypertension, hyperlipidemia, current smoker, family history of CAD, and CRP level, no statistically significant differences were observed in the odds of any coronary plaque (adjusted odds ratio [OR], 1.190; 95% confidence interval [CI], 0.966–1.466; p = 0.103), calcified plaque (adjusted OR, 1.211; 95% CI, 0.982–1.493; p = 0.074), and mixed plaque (adjusted OR, 1.272; 95% CI, 0.841–1.924; p = 0.255) between the two groups. However, the odds of noncalcified plaque (adjusted OR, 1.728; 95% CI, 1.267–2.357; p = 0.001) and significant coronary artery stenosis (adjusted OR, 1.386; 95% CI, 1.002–1.917; p = 0.049) were significantly higher in the gallstone group than in the non-gallstone group ( Table 3 ). In the propensity score-matched population (n = 2,499), there was a signiﬁcant association between gallstones and noncalciﬁed plaque (OR, 1.563; 95% CI, 1.125–2.172; p = 0.008), as well as between gallstones and significant coronary artery stenosis (OR, 1.401; 95% CI, 1.013–1.939; p = 0.042) ( Table 3 ). Download: PNG larger image TIFF original image Table 3. Association between gallstone and coronary computed tomography angiographic findings. https://doi.org/10.1371/journal.pone.0356142.t003 Discussion This study showed an association between gallstones and subclinical coronary atherosclerosis, particularly noncalcified plaques and significant coronary artery stenosis, after adjusting for cardiovascular risk factors. Some studies have reported the association between gallstones and subclinical atherosclerosis. A cross-sectional study conducted by Méndez-Sánchez et al. showed the association of gallstones with carotid atherosclerosis, which was evaluated by carotid artery intima-media thickness [ 23 ]. Another study by Serin et al. found an association between gallstones and abdominopelvic artery atherosclerosis, assessed using abdominal ultrasonography [ 24 ]. Additionally, Yu et al. suggested that gallstone disease predicted arterial stiffness progression measured by brachial-ankle pulse wave velocity (baPWV) [ 25 ]. Carotid artery intima-media thickness, abdominopelvic artery atherosclerosis by ultrasonography, the ankle-brachial index test, and baPWV are indirect measures used to assess the atherosclerotic burden in the coronary artery [ 26 , 27 ]. However, few studies have investigated the association between gallstones and direct markers of coronary atherosclerosis. Even in the study by Kwon et al., no significant association was observed between gallstones and CAC, which is one of the direct markers of coronary atherosclerosis [ 14 ]. Notably, gallstones were not significantly associated with CAC, whereas they were associated with other subclinical atherosclerosis. We hypothesized that the inconsistency was caused by the types of coronary artery plaque. To our knowledge, no previous studies have evaluated the association between gallstones and the types of coronary artery plaque. Therefore, this study analyzed the association between gallstones and subclinical coronary atherosclerosis according to the types of coronary artery plaque. Generally, noncalcified plaques are considered vulnerable and have a stronger association with acute coronary syndrome than calcified plaques [ 28 , 29 ]. A nationwide population-based sample cohort study, using the Korean National Health Insu
## Related Clinical Research

- [Sex-Asymmetric Cardiometabolic Risk Trends in Young Adults Across 16 MENA Countries (1990–2018)](https://medichelpline.com/clinical-feed/medrxiv-3-cardiometabolic-risk-trajectories-in-young-adults-across-16-middle-east-and.md)
- [Cardiac-targeted delivery strategies for advanced therapies in heart disease](https://medichelpline.com/clinical-feed/pubmed-42284133.md) (DOI: 10.1093/eurheartj/ehag432)
- [Obesity-related multimorbidity patterns and reduced quality of life in Iranian adults](https://medichelpline.com/clinical-feed/bmj-open-19-obesity-related-patterns-of-multimorbidity-and-their-association-with-health.md)
- [Dyslipidemia care in Japan before and after the 2024 fee revision: nationwide claims analysis](https://medichelpline.com/clinical-feed/plos-one-19-real-world-patterns-of-dyslipidemia-care-before-and-after-a-national-fee.md)
- [MGST3 marks a mitochondrial-health–linked M2-like macrophage state in atherosclerosis](https://medichelpline.com/clinical-feed/frontiers-in-immunology-7-mgst3-defines-a-mitochondrial-health-associated-m2-macrophage-state-in.md)

## Navigation
- [← Back to Cardiology Feed](https://medichelpline.com/clinical-feed/cardiology.md)
- [← All Clinical Specialties](https://medichelpline.com/clinical-feed.md)
## Medical & Regulatory Disclaimer

> [!CAUTION]
> MedicHelpline content is structured for research, educational, and professional discovery purposes. It does not constitute individual medical advice, clinical diagnosis, or treatment recommendations.
> Always verify dosing, contraindications, and regulatory alerts against official product labeling and primary regulatory sources before clinical decision-making.