A Doppler Echocardiographic Pulmonary Flow Marker of Massive or Submassive Acute Pulmonary Embolus.


Journal

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
ISSN: 1097-6795
Titre abrégé: J Am Soc Echocardiogr
Pays: United States
ID NLM: 8801388

Informations de publication

Date de publication:
07 2019
Historique:
received: 27 08 2018
pubmed: 6 5 2019
medline: 11 11 2020
entrez: 7 5 2019
Statut: ppublish

Résumé

To date, echocardiography has not gained acceptance as an alternative imaging modality for the detection of massive pulmonary embolism (MPE) or submassive pulmonary embolism (SMPE). The objective of this study was to explore the clinical utility of early systolic notching (ESN) of the right ventricular outflow tract (RVOT) pulsed-wave Doppler envelope in the detection of MPE or SMPE. Two hundred seventy-seven patients (mean age, 56 ± 16 years; 52% women), without known pulmonary hypertension, who underwent contrast computed tomographic angiography for suspected pulmonary embolism (PE) and underwent echocardiography were retrospectively studied. Extent of PE was categorized using standard criteria. ESN identified from pulsed-wave spectral Doppler interrogation of the RVOT was analyzed, as were other echocardiography parameters such as McConnell's sign, the "60/60" sign, and acceleration and deceleration times of the RVOT Doppler signal. Analysis was conducted using probability statistics and receiver operating characteristic curve analysis. Of the 277 patients studied, 100 (44%) had MPE or SMPE, 87 (38%) had subsegmental PE, and 90 (39%) did not have PE. ESN was observed in 92% of patients with MPE or SMPE, 2% with subsegmental PE, and in no patients without PE. Interobserver assessment of early systolic notching demonstrated 97% agreement (κ = 0.93, P < .001). Compared with more widely recognized echocardiographic parameters, the area under the receiver operating characteristic curve (AUC) of 0.96 (95% CI, 0.92-0.98) for ESN was superior to that for McConnell's sign (AUC, 0.75; 95% CI, 0.68-0.80), the 60/60 sign (AUC, 0.74; 95% CI, 0.68-0.79), and RVOT acceleration time ≤ 87 msec (AUC, 0.84; 95% CI, 0.79-0.88), as well as other study Doppler variables, in patients with computed tomography-confirmed MPE or SMPE. The pulmonary Doppler flow pattern of ESN appears to be a promising noninvasive sign observed frequently in patients with MPE or SMPE. Future prospective study to ascertain diagnostic utility in a broader population is warranted.

Sections du résumé

BACKGROUND
To date, echocardiography has not gained acceptance as an alternative imaging modality for the detection of massive pulmonary embolism (MPE) or submassive pulmonary embolism (SMPE). The objective of this study was to explore the clinical utility of early systolic notching (ESN) of the right ventricular outflow tract (RVOT) pulsed-wave Doppler envelope in the detection of MPE or SMPE.
METHODS
Two hundred seventy-seven patients (mean age, 56 ± 16 years; 52% women), without known pulmonary hypertension, who underwent contrast computed tomographic angiography for suspected pulmonary embolism (PE) and underwent echocardiography were retrospectively studied. Extent of PE was categorized using standard criteria. ESN identified from pulsed-wave spectral Doppler interrogation of the RVOT was analyzed, as were other echocardiography parameters such as McConnell's sign, the "60/60" sign, and acceleration and deceleration times of the RVOT Doppler signal. Analysis was conducted using probability statistics and receiver operating characteristic curve analysis.
RESULTS
Of the 277 patients studied, 100 (44%) had MPE or SMPE, 87 (38%) had subsegmental PE, and 90 (39%) did not have PE. ESN was observed in 92% of patients with MPE or SMPE, 2% with subsegmental PE, and in no patients without PE. Interobserver assessment of early systolic notching demonstrated 97% agreement (κ = 0.93, P < .001). Compared with more widely recognized echocardiographic parameters, the area under the receiver operating characteristic curve (AUC) of 0.96 (95% CI, 0.92-0.98) for ESN was superior to that for McConnell's sign (AUC, 0.75; 95% CI, 0.68-0.80), the 60/60 sign (AUC, 0.74; 95% CI, 0.68-0.79), and RVOT acceleration time ≤ 87 msec (AUC, 0.84; 95% CI, 0.79-0.88), as well as other study Doppler variables, in patients with computed tomography-confirmed MPE or SMPE.
CONCLUSIONS
The pulmonary Doppler flow pattern of ESN appears to be a promising noninvasive sign observed frequently in patients with MPE or SMPE. Future prospective study to ascertain diagnostic utility in a broader population is warranted.

Identifiants

pubmed: 31056367
pii: S0894-7317(19)30131-2
doi: 10.1016/j.echo.2019.03.004
pii:
doi:

Substances chimiques

Biomarkers 0
Contrast Media 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

799-806

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2019 American Society of Echocardiography. Published by Elsevier Inc. All rights reserved.

Auteurs

Luis Afonso (L)

Division of Cardiology, Wayne State University, Detroit Medical Center, Detroit, Michigan. Electronic address: lafonso@med.wayne.edu.

Aditya Sood (A)

Division of Cardiology, Wayne State University, Detroit Medical Center, Detroit, Michigan.

Emmanuel Akintoye (E)

Division of Cardiovascular Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa.

John Gorcsan (J)

Division of Cardiology Medicine, Washington University, St. Louis, Missouri.

Mobeen Ur Rehman (MU)

Division of Cardiology, Wayne State University, Detroit Medical Center, Detroit, Michigan.

Kartik Kumar (K)

Division of Cardiology, Wayne State University, Detroit Medical Center, Detroit, Michigan.

Arshad Javed (A)

Division of Cardiology, Wayne State University, Detroit Medical Center, Detroit, Michigan.

Anupama Kottam (A)

Division of Cardiology, Wayne State University, Detroit Medical Center, Detroit, Michigan.

Shaun Cardozo (S)

Division of Cardiology, Wayne State University, Detroit Medical Center, Detroit, Michigan.

Manmohan Singh (M)

Division of Cardiology, Wayne State University, Detroit Medical Center, Detroit, Michigan.

Mohan Palla (M)

Division of Cardiology, Wayne State University, Detroit Medical Center, Detroit, Michigan.

Tomo Ando (T)

Division of Cardiology, Wayne State University, Detroit Medical Center, Detroit, Michigan.

Oluwole Adegbala (O)

Department of Internal Medicine, Englewood Hospital and Medical Center, Seton Hall University-Hackensack Meridian School of Medicine, Englewood, New Jersey.

Mohamed Shokr (M)

Division of Cardiology, Wayne State University, Detroit Medical Center, Detroit, Michigan.

Alexandros Briasoulis (A)

Division of Cardiovascular Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa.

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Classifications MeSH