Non-Invasive Risk Prediction Based on Right Ventricular Function in Patients with Pulmonary Arterial Hypertension.

echocardiography fractional area change pulmonary arterial hypertension risk score tricuspid annular plane systolic excursion

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
31 Oct 2021
Historique:
received: 20 09 2021
revised: 14 10 2021
accepted: 24 10 2021
entrez: 13 11 2021
pubmed: 14 11 2021
medline: 14 11 2021
Statut: epublish

Résumé

Right ventricular dysfunction is a major determinant of outcome in pulmonary arterial hypertension (PAH). We aimed to identify echocardiographic right heart parameters associated with adverse outcome and to develop a non-invasive, echocardiography-based risk score for PAH patients. In 254 PAH patients we analyzed functional status, laboratory results, and echocardiographic parameters. We included these parameters to estimate all-cause death or lung transplantation using Cox regression models. The analyses included a conventional model using guideline-recommended variables and an extended echocardiographic model. Based on the final model a 12-point risk score was derived, indicating the association with the primary outcome within five years. During a median follow-up time of 4.2 years 74 patients died or underwent lung transplantation. The conventional model resulted in a C-Index of 0.539, whereas the extended echocardiographic model improved the discrimination (C-index 0.639, Integrating right heart function assessed by echocardiography improves prediction of death or lung transplantation in PAH patients. Independent validation of this finding is warranted.

Sections du résumé

BACKGROUND BACKGROUND
Right ventricular dysfunction is a major determinant of outcome in pulmonary arterial hypertension (PAH). We aimed to identify echocardiographic right heart parameters associated with adverse outcome and to develop a non-invasive, echocardiography-based risk score for PAH patients.
METHODS AND RESULTS RESULTS
In 254 PAH patients we analyzed functional status, laboratory results, and echocardiographic parameters. We included these parameters to estimate all-cause death or lung transplantation using Cox regression models. The analyses included a conventional model using guideline-recommended variables and an extended echocardiographic model. Based on the final model a 12-point risk score was derived, indicating the association with the primary outcome within five years. During a median follow-up time of 4.2 years 74 patients died or underwent lung transplantation. The conventional model resulted in a C-Index of 0.539, whereas the extended echocardiographic model improved the discrimination (C-index 0.639,
CONCLUSION CONCLUSIONS
Integrating right heart function assessed by echocardiography improves prediction of death or lung transplantation in PAH patients. Independent validation of this finding is warranted.

Identifiants

pubmed: 34768652
pii: jcm10215130
doi: 10.3390/jcm10215130
pmc: PMC8584811
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Vazhma Qaderi (V)

Department of Cardiology, University Heart & Vascular Centre Hamburg, 20246 Hamburg, Germany.
Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.

Jessica Weimann (J)

Department of Cardiology, University Heart & Vascular Centre Hamburg, 20246 Hamburg, Germany.

Lars Harbaum (L)

Department of Pulmonology, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany.
Centre for Pulmonary Arterial Hypertension Hamburg, Martin Zeitz Centre for Rare Diseases, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany.

Benedikt N Schrage (BN)

Department of Cardiology, University Heart & Vascular Centre Hamburg, 20246 Hamburg, Germany.
German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Luebeck, 20246 Hamburg, Germany.

Dorit Knappe (D)

Department of Cardiology, University Heart & Vascular Centre Hamburg, 20246 Hamburg, Germany.

Jan K Hennigs (JK)

Department of Pulmonology, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany.
Centre for Pulmonary Arterial Hypertension Hamburg, Martin Zeitz Centre for Rare Diseases, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany.

Christoph Sinning (C)

Department of Cardiology, University Heart & Vascular Centre Hamburg, 20246 Hamburg, Germany.

Renate B Schnabel (RB)

Department of Cardiology, University Heart & Vascular Centre Hamburg, 20246 Hamburg, Germany.
German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Luebeck, 20246 Hamburg, Germany.

Stefan Blankenberg (S)

Department of Cardiology, University Heart & Vascular Centre Hamburg, 20246 Hamburg, Germany.
German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Luebeck, 20246 Hamburg, Germany.

Paulus Kirchhof (P)

Department of Cardiology, University Heart & Vascular Centre Hamburg, 20246 Hamburg, Germany.
German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Luebeck, 20246 Hamburg, Germany.
Institute of Cardiovascular Sciences, University of Birmingham, Birmingham B15 2TT, UK.

Hans Klose (H)

Department of Pulmonology, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany.
Centre for Pulmonary Arterial Hypertension Hamburg, Martin Zeitz Centre for Rare Diseases, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany.

Christina Magnussen (C)

Department of Cardiology, University Heart & Vascular Centre Hamburg, 20246 Hamburg, Germany.
German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Luebeck, 20246 Hamburg, Germany.

Classifications MeSH