Relationship of TAPSE Normalized by Right Ventricular Area With Pulmonary Compliance, Exercise Capacity, and Clinical Outcomes.

ROC curve exercise tolerance pulmonary arterial hypertension pulmonary artery right ventricular function

Journal

Circulation. Heart failure
ISSN: 1941-3297
Titre abrégé: Circ Heart Fail
Pays: United States
ID NLM: 101479941

Informations de publication

Date de publication:
06 May 2024
Historique:
medline: 6 5 2024
pubmed: 6 5 2024
entrez: 6 5 2024
Statut: aheadofprint

Résumé

While tricuspid annular plane systolic excursion (TAPSE) captures the predominant longitudinal motion of the right ventricle (RV), it does not account for ventricular morphology and radial motion changes in various forms of pulmonary hypertension. This study aims to account for both longitudinal and radial motions by dividing TAPSE by RV area and to assess its clinical significance. We performed a retrospective analysis of 71 subjects with New York Heart Association class II to III dyspnea who underwent echocardiogram and invasive cardiopulmonary exercise testing (which defined 4 hemodynamic groups: control, isolated postcapillary pulmonary hypertension, combined postcapillary pulmonary hypertension, and pulmonary arterial hypertension). On the echocardiogram, TAPSE was divided by RV area in diastole (TAPSE/RVA-D) and systole (TAPSE/RVA-S). Analyses included correlations (Pearson and linear regression), receiver operating characteristic, and survival curves. On linear regression analysis, TAPSE/RVA metrics (versus TAPSE) had a stronger correlation with pulmonary artery compliance (r=0.48-0.54 versus 0.38) and peak VO In a broad cohort with suspected pulmonary hypertension, TAPSE divided by RV area was superior to TAPSE alone in correlations with pulmonary compliance and exercise capacity. As a prognostic marker of right heart function, TAPSE/RVA-D <1.1 and TAPSE/RVA-S <1.5 predicted adverse cardiovascular outcomes.

Sections du résumé

BACKGROUND UNASSIGNED
While tricuspid annular plane systolic excursion (TAPSE) captures the predominant longitudinal motion of the right ventricle (RV), it does not account for ventricular morphology and radial motion changes in various forms of pulmonary hypertension. This study aims to account for both longitudinal and radial motions by dividing TAPSE by RV area and to assess its clinical significance.
METHODS UNASSIGNED
We performed a retrospective analysis of 71 subjects with New York Heart Association class II to III dyspnea who underwent echocardiogram and invasive cardiopulmonary exercise testing (which defined 4 hemodynamic groups: control, isolated postcapillary pulmonary hypertension, combined postcapillary pulmonary hypertension, and pulmonary arterial hypertension). On the echocardiogram, TAPSE was divided by RV area in diastole (TAPSE/RVA-D) and systole (TAPSE/RVA-S). Analyses included correlations (Pearson and linear regression), receiver operating characteristic, and survival curves.
RESULTS UNASSIGNED
On linear regression analysis, TAPSE/RVA metrics (versus TAPSE) had a stronger correlation with pulmonary artery compliance (r=0.48-0.54 versus 0.38) and peak VO
CONCLUSIONS UNASSIGNED
In a broad cohort with suspected pulmonary hypertension, TAPSE divided by RV area was superior to TAPSE alone in correlations with pulmonary compliance and exercise capacity. As a prognostic marker of right heart function, TAPSE/RVA-D <1.1 and TAPSE/RVA-S <1.5 predicted adverse cardiovascular outcomes.

Identifiants

pubmed: 38708598
doi: 10.1161/CIRCHEARTFAILURE.123.010826
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e010826

Auteurs

Ran Tao (R)

Department of Internal Medicine, School of Medicine and Public Health, University of Wisconsin-Madison. (R.T., A.E.S., S.H., M.G.-A.).

Naga Dharmavaram (N)

Division of Cardiovascular Medicine, School of Medicine and Public Health, University of Wisconsin-Madison. (N.D., A.B., R.D., S.C.M., P.R., F.R.).

Ahmed El Shaer (A)

Department of Internal Medicine, School of Medicine and Public Health, University of Wisconsin-Madison. (R.T., A.E.S., S.H., M.G.-A.).

Shannon Heffernan (S)

Department of Internal Medicine, School of Medicine and Public Health, University of Wisconsin-Madison. (R.T., A.E.S., S.H., M.G.-A.).

Wanxin Tu (W)

Department of Statistics, School of Computer, Data & Information, University of Wisconsin-Madison. (W.T., J.M.).

James Ma (J)

Department of Statistics, School of Computer, Data & Information, University of Wisconsin-Madison. (W.T., J.M.).

Mariana Garcia-Arango (M)

Department of Internal Medicine, School of Medicine and Public Health, University of Wisconsin-Madison. (R.T., A.E.S., S.H., M.G.-A.).

Aurangzeb Baber (A)

Division of Cardiovascular Medicine, School of Medicine and Public Health, University of Wisconsin-Madison. (N.D., A.B., R.D., S.C.M., P.R., F.R.).

Ravi Dhingra (R)

Division of Cardiovascular Medicine, School of Medicine and Public Health, University of Wisconsin-Madison. (N.D., A.B., R.D., S.C.M., P.R., F.R.).

James Runo (J)

Division of Pulmonary and Critical Care, School of Medicine and Public Health, University of Wisconsin-Madison. (J.R.).

S Carolina Masri (SC)

Division of Cardiovascular Medicine, School of Medicine and Public Health, University of Wisconsin-Madison. (N.D., A.B., R.D., S.C.M., P.R., F.R.).

Peter Rahko (P)

Division of Cardiovascular Medicine, School of Medicine and Public Health, University of Wisconsin-Madison. (N.D., A.B., R.D., S.C.M., P.R., F.R.).

Farhan Raza (F)

Division of Cardiovascular Medicine, School of Medicine and Public Health, University of Wisconsin-Madison. (N.D., A.B., R.D., S.C.M., P.R., F.R.).

Classifications MeSH