Evidence map›Paper›PMID 38896192›Full record

ArticleJournal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing2024

A predictive model of super response to cardiac resynchronization therapy in short-term period.

Tariel A Atabekov, Anna I Mishkina, Mikhail S Khlynin, Svetlana I Sazonova, Sergey N Krivolapov, Roman E Batalov, Sergey V Popov

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Article in Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tariel A AtabekovDepartment of Surgical Arrhythmology and Cardiac Pacing, Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Kievskaya Street, 111a, Tomsk, Russian Federation. kgma1011@mail.ru.ORCID http://orcid.org/0000-0003-2645-4142
Anna I MishkinaDepartment of Surgical Arrhythmology and Cardiac Pacing, Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Kievskaya Street, 111a, Tomsk, Russian Federation.
Mikhail S KhlyninDepartment of Surgical Arrhythmology and Cardiac Pacing, Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Kievskaya Street, 111a, Tomsk, Russian Federation.
Svetlana I SazonovaDepartment of Surgical Arrhythmology and Cardiac Pacing, Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Kievskaya Street, 111a, Tomsk, Russian Federation.
Sergey N KrivolapovDepartment of Surgical Arrhythmology and Cardiac Pacing, Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Kievskaya Street, 111a, Tomsk, Russian Federation.
Roman E BatalovDepartment of Surgical Arrhythmology and Cardiac Pacing, Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Kievskaya Street, 111a, Tomsk, Russian Federation.
Sergey V PopovDepartment of Surgical Arrhythmology and Cardiac Pacing, Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Kievskaya Street, 111a, Tomsk, Russian Federation.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe left bundle branch block, nonischemic heart failure (HF) and female gender are the most powerful predictors of a super response to cardiac resynchronization therapy (CRT). It is important to identify super responders who can derive most benefits from CRT. We aimed to establish a predicting model that could be used for prognosis of a super response to CRT in short-term period.

methodsPatients with QRS ≥ 130 ms, New York Heart Association (NYHA) II-III class of HF, left ventricle ejection fraction (LVEF) ≤ 35% and indications for CRT were included in the study. Before and 6 month after CRT the electrocardiography, echocardiography and cardiac scintigraphy were performed. The study's primary endpoint was the NYHA class improvement ≥ 1 and left ventricle end systolic volume decrease > 30% or LVEF improvement > 15% after 6 month CRT. Based on collected data, we developed a predictive model regarding a super response to CRT.

resultsOf 49 (100.0%) patients, 32 (65.3%) had a super response to CRT. Patients with a super response were likelier to have a lower cardiac index (p = 0.007), higher rates of interventricular delay (IVD) (p = 0.003), phase standard deviation of left ventricle anterior wall (PSD LVAW) (p = 0.009) and ∆QRS (p = 0.02). Only IVD and PSD LVAW were independently associated with a super response to CRT in univariate and multivariate logistic regression. We created a logistic equation and calculated a cut-off value. The resulting ROC curve revealed a discriminative ability with AUC of 0.812 (sensitivity 90.62%; specificity 70.59%).

conclusionOur predictive model is able to distinguish patients with a super response to CRT.

Indexed as

Cardiac Resynchronization TherapyHeart FailureAgedBundle-Branch BlockEchocardiographyElectrocardiographyFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisStroke VolumeTreatment OutcomeCardiac resynchronization therapyEchocardiographyElectrocardiographyGated blood pool SPECTPredictive modelSuper response

Identifiers

PMID38896192

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.