Heterogeneity of right ventricular echocardiographic parameters in systemic lupus erythematosus among four clinical subgroups, as stratified by clinical organ involvement in observational cohort.


Journal

Open heart
ISSN: 2053-3624
Titre abrégé: Open Heart
Pays: England
ID NLM: 101631219

Informations de publication

Date de publication:
03 May 2024
Historique:
received: 26 01 2024
accepted: 22 04 2024
medline: 4 5 2024
pubmed: 4 5 2024
entrez: 3 5 2024
Statut: epublish

Résumé

Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease. Cardiac involvement in SLE is rare but plays an important prognostic role. The degree of cardiac involvement according to SLE subsets defined by non-cardiac manifestations is unknown. The objective of this study was to identify differences in transthoracic echocardiography (TTE) parameters associated with different SLE subgroups. One hundred eighty-one patients who fulfilled the 2019 American College of Rheumatology/EULAR classification criteria for SLE and underwent baseline TTE were included in this cross-sectional study. We defined four subsets of SLE based on the predominant clinical manifestations. A multivariate multinomial regression analysis was performed to determine whether TTE parameters differed between groups. Four clinical subsets were defined according to non-cardiac clinical manifestations: group A (n=37 patients) showed features of mixed connective tissue disease, group B (n=76 patients) had primarily cutaneous involvement, group C (n=18) exhibited prominent serositis and group D (n=50) had severe, multi-organ involvement, including notable renal disease. Forty TTE parameters were assessed between groups. Per multivariate multinomial regression analysis, there were statistically significant differences in early diastolic tricuspid annular velocity (RV-Ea, p<0.0001), RV S' wave (p=0.0031) and RV end-diastolic diameter (p=0.0419) between the groups. Group B (primarily cutaneous involvement) had the lowest degree of RV dysfunction. When defining clinical phenotypes of SLE based on organ involvement, we found four distinct subgroups which showed notable differences in RV function on TTE. Risk-stratifying patients by clinical phenotype could help better tailor cardiac follow-up in this population.

Sections du résumé

BACKGROUND BACKGROUND
Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease. Cardiac involvement in SLE is rare but plays an important prognostic role. The degree of cardiac involvement according to SLE subsets defined by non-cardiac manifestations is unknown. The objective of this study was to identify differences in transthoracic echocardiography (TTE) parameters associated with different SLE subgroups.
METHODS METHODS
One hundred eighty-one patients who fulfilled the 2019 American College of Rheumatology/EULAR classification criteria for SLE and underwent baseline TTE were included in this cross-sectional study. We defined four subsets of SLE based on the predominant clinical manifestations. A multivariate multinomial regression analysis was performed to determine whether TTE parameters differed between groups.
RESULTS RESULTS
Four clinical subsets were defined according to non-cardiac clinical manifestations: group A (n=37 patients) showed features of mixed connective tissue disease, group B (n=76 patients) had primarily cutaneous involvement, group C (n=18) exhibited prominent serositis and group D (n=50) had severe, multi-organ involvement, including notable renal disease. Forty TTE parameters were assessed between groups. Per multivariate multinomial regression analysis, there were statistically significant differences in early diastolic tricuspid annular velocity (RV-Ea, p<0.0001), RV S' wave (p=0.0031) and RV end-diastolic diameter (p=0.0419) between the groups. Group B (primarily cutaneous involvement) had the lowest degree of RV dysfunction.
CONCLUSION CONCLUSIONS
When defining clinical phenotypes of SLE based on organ involvement, we found four distinct subgroups which showed notable differences in RV function on TTE. Risk-stratifying patients by clinical phenotype could help better tailor cardiac follow-up in this population.

Identifiants

pubmed: 38702088
pii: openhrt-2024-002615
doi: 10.1136/openhrt-2024-002615
pii:
doi:

Types de publication

Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Corentin Bourg (C)

Departement of Cardiology, CHU Rennes, Rennes, France.
Laboratoire du traitement du signal et de l'image LTSI, INSERM UMR 1099, Rennes, France.

Erwan Le Tallec (E)

Department of Internal Medicine and Clinical Immunology, University of Rennes 1, Rennes, France.

Elizabeth Curtis (E)

Departement of Cardiology, CHU Rennes, Rennes, France.

Charlotte Lee (C)

University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Guillaume Bouzille (G)

Laboratoire du traitement du signal et de l'image LTSI, INSERM UMR 1099, Rennes, France.

Emmanuel Oger (E)

EA Reperes, CHU Rennes, Rennes, France.

Alain Lescort (A)

Department of Internal Medicine and Clinical Immunology, University of Rennes 1, Rennes, France.
Irset (Institut de Recherche en Santé Environnement et Travail)-UMR_S 1085, Rennes, France.

Erwan Donal (E)

Departement of Cardiology, CHU Rennes, Rennes, France erwan.donal@chu-rennes.fr.
Laboratoire du traitement du signal et de l'image LTSI, INSERM UMR 1099, Rennes, France.

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