Seminars in arthritis and rheumatism · 2025
Subclinical coronary artery calcification in systemic sclerosis using high-resolution chest CT: Identification, extent, and disease-specific risk factors.
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Næser Esben U, Enevoldsen Frederik C, Winther Simon, Bøttcher Morten, Søndergaard Klaus, Hauge Ellen-Margrethe
Аннотация
OBJECTIVES: Early detection of subclinical atherosclerosis is pivotal for preventing symptomatic coronary artery disease. This study aimed to compare the proportion of patients with systemic sclerosis (SSc) having an Agatston coronary artery calcification (CAC) score ≥100 using high-resolution computed tomography (HRCT) chest scans to a background population using cardiac CT scans, and to identify disease-specific risk factors for subclinical CAC in patients with SSc.
METHODS: Logistic regression models, adjusted for cardiovascular risk factors, evaluated the odds ratio of patients having a CAC score ≥100. CAC scores for the background population were derived from two cardiac CT screening cohorts. CAC scores by HRCT chest scans were calibrated using a conversion factor to adjust for overestimation in comparison to CAC scores obtained from dedicated cardiac CT scans.
RESULTS: HRCT chest scans from 394 patients with SSc were evaluated. In total, 116 (29.4 %) had a CAC score of 0, while 162 (41.1 %) had a CAC score ≥100. Disease duration (OR=1.05, 95 % CI 1.01-1.09) and a history of digital ulcers (OR=2.25, 95 % CI 1.31; 3.86) were independently associated with a CAC score ≥100. Compared to the background population, a significantly higher proportion of SSc patients had a CAC score ≥100 (35.0 % vs. 23.2 %, p<0.001).
CONCLUSION: The identification of subclinical atherosclerosis using routine HRCT chest scans in patients with SSc offers the potential to detect individuals at increased risk of developing CAD and guide preventive treatment strategies. Additionally, digital ulcers appear to be a novel risk factor for subclinical CAD in these patients.
METHODS: Logistic regression models, adjusted for cardiovascular risk factors, evaluated the odds ratio of patients having a CAC score ≥100. CAC scores for the background population were derived from two cardiac CT screening cohorts. CAC scores by HRCT chest scans were calibrated using a conversion factor to adjust for overestimation in comparison to CAC scores obtained from dedicated cardiac CT scans.
RESULTS: HRCT chest scans from 394 patients with SSc were evaluated. In total, 116 (29.4 %) had a CAC score of 0, while 162 (41.1 %) had a CAC score ≥100. Disease duration (OR=1.05, 95 % CI 1.01-1.09) and a history of digital ulcers (OR=2.25, 95 % CI 1.31; 3.86) were independently associated with a CAC score ≥100. Compared to the background population, a significantly higher proportion of SSc patients had a CAC score ≥100 (35.0 % vs. 23.2 %, p<0.001).
CONCLUSION: The identification of subclinical atherosclerosis using routine HRCT chest scans in patients with SSc offers the potential to detect individuals at increased risk of developing CAD and guide preventive treatment strategies. Additionally, digital ulcers appear to be a novel risk factor for subclinical CAD in these patients.