Evidence map›Paper›PMID 39987066›Full record

ArticleBMC pulmonary medicine2025

Incidence and clinical impact of coronary artery disease confirmed by coronary CT angiography in patients with interstitial lung disease.

Hyun Seok Kwak, Ho Cheol Kim, Hyun Jung Koo, Seung-Whan Lee, Pil Hyung Lee, Tae Oh Kim

Abstract read
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Article in BMC pulmonary medicine, 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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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

6 authors.

Hyun Seok KwakDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Ho Cheol KimDepartment of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Hyun Jung KooDepartment of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Seung-Whan LeeDivision of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, Republic of Korea.
Pil Hyung LeeDivision of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, Republic of Korea.
Tae Oh KimDivision of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, Republic of Korea. allldie@hanmail.net.

Funding

Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education 2022R1C1C1005736
6 · The paper itself

Abstract

backgroundPatients with interstitial lung disease (ILD) who undergo routine chest computed tomography (CT) often have findings suggestive of coronary artery disease (CAD). However, the incidence and prognostic impact of significant CAD, confirmed by coronary CT angiography (CCTA), are not well established.

methodsFrom January 2013 to February 2024, we evaluated 215 patients from a retrospective ILD registry at our institute, who underwent CCTA as part of ILD management. Using the CAD-Reporting and Data System, we investigated the incidence of significant CAD and evaluated its impact on 5-year mortality and rehospitalization for respiratory or cardiovascular causes through multivariable Cox proportional hazards regression.

resultsDuring a median follow-up of 2.3 years, CCTA was performed at a median of 5 months postdiagnosis of ILD in the cohort. Significant CAD was identified in 92 patients (42.8%), with 27 (12.6%) undergoing coronary revascularization. The presence of significant CAD was significantly associated with an increased risk of mortality (adjusted hazard ratio [HR]: 2.31; 95% confidence interval [CI]: 1.07 - 5.01; P = 0.03) and a higher risk of rehospitalization (adjusted HR: 2.03; 95% CI: 1.23 - 3.34; P = 0.01). Key clinical variables associated with significant CAD included older age (≥ 63 years), hypertension, and coronary calcification observed on non-gated chest CT.

conclusionsCCTA-identified CAD was associated with a worse clinical prognosis in patients with ILD, with significant risk factors including older age, hypertension, and coronary calcification observed on non-gated chest CT. These findings suggest that obtaining CCTA may be beneficial for managing patients with ILD, particularly those with identified risk factors.

Indexed as

Computed Tomography AngiographyCoronary Artery DiseaseLung Diseases, InterstitialAgedCoronary AngiographyFemaleHumansIncidenceMaleMiddle AgedPatient ReadmissionPrognosisProportional Hazards ModelsRegistriesRetrospective StudiesRisk FactorsComputed tomography angiographyCoronary artery diseaseInterstitialLung diseaseMortality

Identifiers

PMID39987066
PMCPMC11847390

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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.