Systemic sclerosis & Raynaud's
The complex diagnosis of primary heart involvement in systemic sclerosis: red flags to drive the choice of cardiac magnetic resonance
Authors' conclusion
This retrospective analysis identified biomarkers and disease features associated with SSc-pHI confirmed at CMR.
Study context
- Population
- SSc patients, monocentric cohort; Cardiac magnetic resonance (CMR) performed for clinically suspected primary heart involvement (pHI)CMR in 56
- Participants
- 259 patients
- Exposure
- SSc with pHI confirmed at CMR vs SSc without pHI
- pHI-SScn = 37
- Outcome
- Clinical features and biomarkers associated with pHI confirmed at CMR
Methodological detailsmonocentric
- Monocentric
Main finding
As reported in the abstract
Factors associated with positive CMR for SSc-pHI (multivariate analysis)
Odds ratio (CI)P value
Increased TnT
14.108(2.772–71.808)
P = 0.014Increased CRP
11.237(2.265–55.763)
P = 0.0031ILD
6.275(1.240–31.763)
P = 0.0264- pHI detected
- 37 patients (14%)
Observational data: associations, not effects.
Further findings
Arrhythmias at 24 h-ECG-Holter, among 56 patients who underwent CMR (univariate analysis)
| OR (CI) | P value | ||
|---|---|---|---|
| ArrhythmiasUnivariate analysis | 3.75 (1.041–13.5) | P = 0.04 | |
| 0.050.21520Odds ratio (log scale) |
Factors associated with SSc-pHI at CMR (univariate analysis)
- Significantly associated: age at SSc onset, diffuse cutaneous subset, increased inflammatory markers and cardiac enzymes, interstitial lung disease (ILD) and myositis
- Inverse correlation: anti-centromere antibodies, VEDOSS and female gender
Original publication
The complex diagnosis of primary heart involvement in systemic sclerosis: red flags to drive the choice of cardiac magnetic resonance. Rheumatology (Oxford). Published 12 May 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →