Systemic sclerosis & Raynaud's
Quantification of coronary artery calcification in systemic sclerosis using visual ordinal and deep learning scoring: Association with systemic sclerosis clinical features
Authors' conclusion
Our results suggest that the progression of coronary artery calcification accelerates early during the SSc disease course and that severe microvasculopathy may be a risk factor for atherosclerotic CVD.
Study context
- Population
- Patients with systemic sclerosis (SSc), single centre86 primary aim
- Outcome
- Association between SSc clinical features and annual progression of CAC scores quantified by visual ordinal scoring
Methodological detailssingle-center
- Single-center
Main finding
As reported in the abstract
Annual ordinal CAC score progression vs SSc disease duration
SSc disease duration, coefficient
−0.004
demographics-adjusted; 95% CI −0.006 to −0.001p-value = 0.01
SSc disease duration, coefficient
−0.004
demographics- and CV risk factor-adjusted; 95% CI −0.008 to −0.0004p-value = 0.03
Observational data: associations, not effects.
Further findings
Deep learning coronary artery calcium (CAC) score (DeepCAC) vs SSc clinical features
- Fingertip ischemic ulcers or digital pitting scars, coefficient
- 1.07 (demographics-adjusted; 95% CI 0.29 to 1.85; p < 0.01)
- Fingertip ischemic ulcers or digital pitting scars, coefficient
- 1.39 (demographics- and cardiovascular (CV) risk factor-adjusted; 95% CI 0.43 to 2.34; p < 0.01)
- Group 1 pulmonary hypertension, coefficient
- 1.34 (demographics-adjusted; 95% CI 0.34 to 2.35; p < 0.01)
- Group 1 pulmonary hypertension, coefficient
- 1.52 (demographics- and CV risk factor-adjusted; 95% CI 0.38 to 2.65; p < 0.01)
Original publication
Quantification of coronary artery calcification in systemic sclerosis using visual ordinal and deep learning scoring: Association with systemic sclerosis clinical features. Semin Arthritis Rheum. Published 20 November 2024. doi:10.
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