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Pregled bibliografske jedinice broj: 447507

ECG Based Prediction of Atrial Fibrillation Development Following Coronary Artery Bypass Grafting


Sovilj, Siniša; Van Oosterom, Adriaan; Rajsman, Gordana; Magjarević, Ratko
ECG Based Prediction of Atrial Fibrillation Development Following Coronary Artery Bypass Grafting // Physiological measurement, 31 (2010), 5; 663-677 doi:10.1088/0967-3334/31/5/005 (međunarodna recenzija, članak, znanstveni)


Naslov
ECG Based Prediction of Atrial Fibrillation Development Following Coronary Artery Bypass Grafting

Autori
Sovilj, Siniša ; Van Oosterom, Adriaan ; Rajsman, Gordana ; Magjarević, Ratko

Izvornik
Physiological measurement (0967-3334) 31 (2010), 5; 663-677

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Post-operative atrial fibrillation; CABG; P wave onset trigger; cubic spline baseline correction; PQ segment level; classification tree

Sažetak
In patients undergoing Coronary Artery Bypass Grafting (CABG) surgery post- operative atrial fibrillation (AF) occurs with a prevalence of up to 40%. The highest incidence is seen between the second and third day after the operation. Following cardiac surgery AF may cause various complications such a hemodynamic instability, heart attack and cerebral or other thromboembolisms. AF increases morbidity, duration and expense of medical treatments. This study aims at identifying patients at high risk of post- operative AF. An early prediction of AF would provide a timely prophylactic treatment and would reduce the incidence of arrhythmia. Patients at low risk of post-operative AF could be excluded on the basis of the contraindications of anti- arrhythmic drugs. The study included 50 patients in whom lead II electrocardiograms were continuously recorded for 48 hours following CABG. Univariate statistical analysis was used in the search for signal features that could predict AF. The most promising ones identified were: P wave duration, RR interval duration and PQ segment level. On the basis of these, a non-linear multivariate prediction model was made by deploying a classification tree. The prediction accuracy was found to increase over the time. At 48 hours following CABG, the measured best smoothed sensitivity was 84.8% and specificity 85.4%. The positive and negative predictive values were 72.7% and 92.8%, respectively and the overall accuracy was 85.3%. In regard to the prediction accuracy, the risk assessment and prediction of post- operative AF is optimal in the period between 24 and 48 hours following CABG.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Temeljne medicinske znanosti, Kliničke medicinske znanosti



POVEZANOST RADA


Projekt / tema
036-0362979-1554 - Neinvazivna mjerenja i postupci u biomedicini (Stanko Tonković, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb,
Klinički bolnički centar Zagreb

Citiraj ovu publikaciju

Sovilj, Siniša; Van Oosterom, Adriaan; Rajsman, Gordana; Magjarević, Ratko
ECG Based Prediction of Atrial Fibrillation Development Following Coronary Artery Bypass Grafting // Physiological measurement, 31 (2010), 5; 663-677 doi:10.1088/0967-3334/31/5/005 (međunarodna recenzija, članak, znanstveni)
Sovilj, S., Van Oosterom, A., Rajsman, G. & Magjarević, R. (2010) ECG Based Prediction of Atrial Fibrillation Development Following Coronary Artery Bypass Grafting. Physiological measurement, 31 (5), 663-677 doi:10.1088/0967-3334/31/5/005.
@article{article, year = {2010}, pages = {663-677}, DOI = {10.1088/0967-3334/31/5/005}, keywords = {post-operative atrial fibrillation, CABG, P wave onset trigger, cubic spline baseline correction, PQ segment level, classification tree}, journal = {Physiological measurement}, doi = {10.1088/0967-3334/31/5/005}, volume = {31}, number = {5}, issn = {0967-3334}, title = {ECG Based Prediction of Atrial Fibrillation Development Following Coronary Artery Bypass Grafting}, keyword = {post-operative atrial fibrillation, CABG, P wave onset trigger, cubic spline baseline correction, PQ segment level, classification tree} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


Uključenost u ostale bibliografske baze podataka:


  • INSPEC
  • MEDLINE


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