Heart failure & cardiomyopathies

Distinct cardiovascular phenotypes are associated with prognosis in systemic sclerosis: a cardiovascular magnetic resonance study

Eur Heart J Cardiovasc ImagingPublished Retrospective cohort study

Authors' conclusion

We identified five CMR-defined cardiac SSc phenotypes that did not co-segregate with clinical data and had distinct outcomes, offering opportunities for a more precision-medicine based management approach.

Study context

Population
Systemic sclerosis (SSc) patients undergoing clinically indicated cardiovascular magnetic resonance (CMR) with native T1 and T2 mapping, 2016–2019
Participants
260 patients
Exposure
CMR-defined cardiac phenotypes in SSc
Outcome
All-cause mortality
Follow-up
Median 3.4 years
Methodological detailssingle-centre, observational, agglomerative hierarchical clustering
  • Single-centre
  • Observational
  • Agglomerative hierarchical clustering

Main finding

As reported in the abstract

All-cause mortality by phenotype

Hazard ratio

8.9

P < 0.001

Right ventricular failure (RVF)

Hazard ratio

5.2

P = 0.006

BVF

Hazard ratio

4.9

P = 0.002

Normal function with large cavity (NF-LC)

Deaths during follow-up
63 (24%)
Normal function with small cavity (NF-SC) and normal function with average cavity (NF-AC) had more favourable prognoses than the other three groups
P ≤ 0.036
No differences in prognoses between RVF, BVF and NF-LC
P > 0.14
NF-LC remained predictive of mortality after adjusting for right ventricular ejection fraction (RVEF), native T1 and PH diagnosis
P = 0.0046

Observational data: associations, not effects.

Further findings

Independent CMR predictors of all-cause mortality (adjusted for age and PH)

Native T1
P < 0.001
RVEF
P = 0.0032

Co-segregation with clinical or antibody classifications

Phenotypes did not co-segregate with clinical or antibody classifications

Original publication

Distinct cardiovascular phenotypes are associated with prognosis in systemic sclerosis: a cardiovascular magnetic resonance study. Eur Heart J Cardiovasc Imaging. Published 1 July 2022. doi:10.1093/ehjci/jeac120

Composed by AI from the published abstract and checked against it. How Briefs are made →

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