Evgeny Pokushalov

Prof. Dr. Evgeny Pokushalov

orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2013 in JACC
Verified
Journal Article
Closed access
DKDemosthenes G. Katritsis
Demosthenes G. Katritsis
EPEvgeny Pokushalov
Evgeny Pokushalov
ARAlexander Romanov
Alexander Romanov
EGEleftherios Giazitzoglou
Eleftherios Giazitzoglou
GSGeorge C.M. Siontis
George C.M. Siontis
JIJohn P.A. Ioannidis
John P.A. Ioannidis

1 September 2012 in JACC
Verified
Journal Article
Closed access
EPEvgeny Pokushalov
Evgeny Pokushalov
ARAlexander Romanov
Alexander Romanov
GCGiorgio Corbucci
Giorgio Corbucci
SASergey Artyomenko
Sergey Artyomenko
VBVera Baranova
Vera Baranova
JSJonathan S. Steinberg
Jonathan S. Steinberg

1 April 2010 in Circulation: Arrhythmia and Electrophysiology
Verified
Journal Article
Closed access
GHGerhard Hindricks
Gerhard Hindricks
EPEvgeny Pokushalov
Evgeny Pokushalov
LULubos Urban
Lubos Urban
MTMilos Taborsky
Milos Taborsky
KKKarl-Heinz Kuck
Karl-Heinz Kuck
HPHelmut PürErfellner
Helmut PürErfellner
Background— Current methods for detecting atrial fibrillation (AF) have limited diagnostic yield. Continuous monitoring with automatic arrhythmia detection and classification may improve detection of symptomatic and asymptomatic AF and subsequent patient treatment. The study purpose was to quantify the performance of the first implantable leadless cardiac monitor (ICM) with dedicated AF detection capabilities. Methods and Results— Patients (n=247) with an implanted ICM (Reveal XT, Medtronic Inc, Minneapolis, Minn) who were likely to present with paroxysmal AF were selected. A special Holter device stored 46 hours of subcutaneously recorded ECG, ICM markers, and 2 surface ECG leads. The ICM automatic arrhythmia classification was compared with the core laboratory classification of the surface ECG. Of the 206 analyzable Holter recordings collected, 76 (37%) contained at least 1 episode of core laboratory classified AF. The sensitivity, specificity, positive predictive value, and negative predictive value for identifying patients with any AF were 96.1%, 85.4%, 79.3%, and 97.4%, respectively. The AF burden measured with the ICM was very well correlated with the reference value derived from the Holter (Pearson coefficient=0.97). The overall accuracy of the ICM for detecting AF was 98.5%. Conclusions— In this ICM validation study, the dedicated AF detection algorithm reliably detected the presence or absence of AF and the AF burden was accurately quantified. The ICM is a promising new diagnostic and monitoring tool for the clinician to treat AF patients independently of symptoms. Long-term studies are needed to evaluate the clinical benefits of the technology. Clinical Trial Registration— clinicaltrials.gov Identifier NCT00680927.

10 April 2015 in Circulation Research
Verified
Journal Article
Closed access
PDF file
Mariann GyöngyösiMariann Gyöngyösi
Mariann Gyöngyösi
WWWojciech Wojakowski
Wojciech Wojakowski
PLPatricia Lemarchand
Patricia Lemarchand
KLKetil Lunde
Ketil Lunde
MTMichal Tendera
Michal Tendera
GMGerald Maurer
Gerald Maurer
Rationale : The meta-Analysis of Cell-based CaRdiac study is the first prospectively declared collaborative multinational database, including individual data of patients with ischemic heart disease treated with cell therapy. Objective : We analyzed the safety and efficacy of intracoronary cell therapy after acute myocardial infarction (AMI), including individual patient data from 12 randomized trials (ASTAMI, Aalst, BOOST, BONAMI, CADUCEUS, FINCELL, REGENT, REPAIR-AMI, SCAMI, SWISS-AMI, TIME, LATE-TIME; n=1252). Methods and Results : The primary end point was freedom from combined major adverse cardiac and cerebrovascular events (including all-cause death, AMI recurrance, stroke, and target vessel revascularization). The secondary end point was freedom from hard clinical end points (death, AMI recurrence, or stroke), assessed with random-effects meta-analyses and Cox regressions for interactions. Secondary efficacy end points included changes in end-diastolic volume, end-systolic volume, and ejection fraction, analyzed with random-effects meta-analyses and ANCOVA. We reported weighted mean differences between cell therapy and control groups. No effect of cell therapy on major adverse cardiac and cerebrovascular events (14.0% versus 16.3%; hazard ratio, 0.86; 95% confidence interval, 0.63–1.18) or death (1.4% versus 2.1%) or death/AMI recurrence/stroke (2.9% versus 4.7%) was identified in comparison with controls. No changes in ejection fraction (mean difference: 0.96%; 95% confidence interval, −0.2 to 2.1), end-diastolic volume, or systolic volume were observed compared with controls. These results were not influenced by anterior AMI location, reduced baseline ejection fraction, or the use of MRI for assessing left ventricular parameters. Conclusions : This meta-analysis of individual patient data from randomized trials in patients with recent AMI revealed that intracoronary cell therapy provided no benefit, in terms of clinical events or changes in left ventricular function. Clinical Trial Registration:: URL: http://www.clinicaltrials.gov. Unique identifier: NCT01098591.

1 May 2011 in Heart Rhythm
Verified
Journal Article
Closed access
DKDemosthenes G. Katritsis
Demosthenes G. Katritsis
EGEleftherios Giazitzoglou
Eleftherios Giazitzoglou
TZTheodoros Zografos
Theodoros Zografos
EPEvgeny Pokushalov
Evgeny Pokushalov
SPSunny S. Po
Sunny S. Po
ACA. John Camm
A. John Camm

1 September 2009 in Heart Rhythm
Verified
Journal Article
Closed access
EPEvgeny Pokushalov
Evgeny Pokushalov
ARAlexander Romanov
Alexander Romanov
PSPavel Shugayev
Pavel Shugayev
SASergey Artyomenko
Sergey Artyomenko
NSNatalya Shirokova
Natalya Shirokova
DKDemosthenes G. Katritsis
Demosthenes G. Katritsis