Predictors of adverse outcome in patients with frequent premature ventricular complexes: The ABC-VT risk score.


Journal

Heart rhythm
ISSN: 1556-3871
Titre abrégé: Heart Rhythm
Pays: United States
ID NLM: 101200317

Informations de publication

Date de publication:
07 2020
Historique:
received: 18 01 2020
accepted: 14 02 2020
pubmed: 29 2 2020
medline: 1 9 2021
entrez: 29 2 2020
Statut: ppublish

Résumé

No independently validated score currently exists for risk stratification of patients with frequent premature ventricular complexes (PVCs). The purpose of this study was to develop a risk score to predict adverse events in patients with frequent PVCs. We analyzed consecutive patients between 2012 and 2017 undergoing 14-day continuous monitoring with frequent PVCs (>5%) and concurrent echocardiography. We performed binary logistic regression to determine multivariate predictors of adverse left ventricular remodeling (left ventricular ejection fraction [LVEF] <45% or left ventricular end-diastolic volume index >75 mL/m The derivation cohort comprised 206 patients with a mean PVC burden of 11.6% ± 6.2% and considerable daily fluctuation (minimum burden 7.3% ± 6.2% vs maximum 17.9% ± 8.0%). Independent predictors of adverse remodeling were as follows: superiorly directed PVC axis (OR 2.7; 1 point), PVC burden 10%-20% (OR 3.5; 2 points) and >20% (OR 4.4; 3 points), PVC coupling interval >500 ms (OR 4.7; 4 points), nonsustained ventricular tachycardia (OR 5.3; 4 points), which form the ABC-VT risk score. This score predicted future adverse events in both validation cohorts: cohort 1, hazard ratio 1.43; 95% confidence interval 1.19-1.73; P < .001 and cohort 2, hazard ratio 1.22; 95% confidence interval 1.05-1.42; P = .01. The ABC-VT score is a simple tool that predicts adverse left ventricular remodeling and future clinical deterioration in patients with frequent PVCs.

Sections du résumé

BACKGROUND
No independently validated score currently exists for risk stratification of patients with frequent premature ventricular complexes (PVCs).
OBJECTIVES
The purpose of this study was to develop a risk score to predict adverse events in patients with frequent PVCs.
METHODS
We analyzed consecutive patients between 2012 and 2017 undergoing 14-day continuous monitoring with frequent PVCs (>5%) and concurrent echocardiography. We performed binary logistic regression to determine multivariate predictors of adverse left ventricular remodeling (left ventricular ejection fraction [LVEF] <45% or left ventricular end-diastolic volume index >75 mL/m
RESULTS
The derivation cohort comprised 206 patients with a mean PVC burden of 11.6% ± 6.2% and considerable daily fluctuation (minimum burden 7.3% ± 6.2% vs maximum 17.9% ± 8.0%). Independent predictors of adverse remodeling were as follows: superiorly directed PVC axis (OR 2.7; 1 point), PVC burden 10%-20% (OR 3.5; 2 points) and >20% (OR 4.4; 3 points), PVC coupling interval >500 ms (OR 4.7; 4 points), nonsustained ventricular tachycardia (OR 5.3; 4 points), which form the ABC-VT risk score. This score predicted future adverse events in both validation cohorts: cohort 1, hazard ratio 1.43; 95% confidence interval 1.19-1.73; P < .001 and cohort 2, hazard ratio 1.22; 95% confidence interval 1.05-1.42; P = .01.
CONCLUSION
The ABC-VT score is a simple tool that predicts adverse left ventricular remodeling and future clinical deterioration in patients with frequent PVCs.

Identifiants

pubmed: 32109563
pii: S1547-5271(20)30170-3
doi: 10.1016/j.hrthm.2020.02.020
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1066-1074

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2020 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

Auteurs

Aleksandr Voskoboinik (A)

Division of Cardiology, University of California San Francisco, San Francisco, California.

Alexios Hadjis (A)

Division of Cardiology, University of California San Francisco, San Francisco, California.

Christina Alhede (C)

Division of Cardiology, University of California San Francisco, San Francisco, California.

Sung Il Im (SI)

Division of Cardiology, University of California San Francisco, San Francisco, California; Division of Cardiology, Kosin University Gospel Hospital, Busan, Republic of Korea.

Hansu Park (H)

Division of Cardiology, Kosin University Gospel Hospital, Busan, Republic of Korea.

Joshua Moss (J)

Division of Cardiology, University of California San Francisco, San Francisco, California.

Gregory M Marcus (GM)

Division of Cardiology, University of California San Francisco, San Francisco, California.

Henry Hsia (H)

Division of Cardiology, University of California San Francisco, San Francisco, California.

Byron Lee (B)

Division of Cardiology, University of California San Francisco, San Francisco, California.

Zian Tseng (Z)

Division of Cardiology, University of California San Francisco, San Francisco, California.

Randall Lee (R)

Division of Cardiology, University of California San Francisco, San Francisco, California.

Melvin Scheinman (M)

Division of Cardiology, University of California San Francisco, San Francisco, California.

Vasanth Vedantham (V)

Division of Cardiology, University of California San Francisco, San Francisco, California.

Eric Vittinghoff (E)

Division of Cardiology, University of California San Francisco, San Francisco, California.

Kyoung-Min Park (KM)

Division of Cardiology, Samsung Medical Center, Seoul, Republic of Korea.

Edward P Gerstenfeld (EP)

Division of Cardiology, University of California San Francisco, San Francisco, California. Electronic address: Edward.Gerstenfeld@ucsf.edu.

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Classifications MeSH