Prediction of Postcoronary Artery Bypass Grafting Atrial Fibrillation: POAFRiskScore Tool

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dc.authoridErdil, Nevzat/0000-0002-8275-840X
dc.authoridARSLAN, Ahmet Kadir/0000-0001-8626-9542
dc.authoridGÜLDOĞAN, Emek/0000-0002-5436-8164
dc.authoridÇOLAK, CEMİL/0000-0001-5406-098X
dc.authoridAKÇA, BARIŞ/0000-0001-9154-4764
dc.authorwosidErdil, Nevzat/K-8079-2019
dc.authorwosidARSLAN, Ahmet Kadir/AAA-2409-2020
dc.authorwosidGÜLDOĞAN, Emek/ABH-5460-2020
dc.authorwosidÇOLAK, CEMİL/ABI-3261-2020
dc.authorwosidAKÇA, BARIŞ/ABG-7339-2020
dc.contributor.authorArslan, Ahmet Kadir
dc.contributor.authorErdil, Nevzat
dc.contributor.authorGuldogan, Emek
dc.contributor.authorColak, Cemil
dc.contributor.authorAkca, Baris
dc.contributor.authorColak, M. Cengiz
dc.date.accessioned2024-08-04T20:50:56Z
dc.date.available2024-08-04T20:50:56Z
dc.date.issued2023
dc.departmentİnönü Üniversitesien_US
dc.description.abstractBackground Atrial fibrillation (AF), a condition that might occur after a heart bypass procedure, has caused differing estimates of its occurrence and risk. The current study analyses the possible risk factors of post-coronary artery bypass grafting (post-CABG) AF (postoperative AF [POAF]) and presents a software for preoperative POAF risk prediction. Methods This retrospective research was performed on 1,667 patients who underwent CABG surgery using the hospital database. The associations between the variables of the patients and AF risk factors after CABG were examined using multivariable logistic regression (LR) after preprocessing the relevant data. The tool was designed to predict POAF risk using Shiny, an R package, to develop a web-based software. Results The overall proportion of post-CABG AF was 12.2%. According to the results of univariate tests, in terms of age ( p < 0.001), blood urea nitrogen ( p = 0.005), platelet ( p < 0.001), triglyceride ( p = 0.0026), presence of chronic obstructive pulmonary disease (COPD; p = 0.01), and presence of preoperative carotid artery stenosis (PCAS; p < 0.001), there were statistically significant differences between the POAF and non-POAF groups. Multivariable LR analysis disclosed the independent risk factors associated with POAF: PCAS (odds ratio [OR] = 2.360; p = 0.028), COPD (OR = 2.243; p = 0.015), body mass index (OR = 1.090; p = 0.006), age (OR = 1.054, p < 0.001), and platelet (OR = 0.994, p < 0.001). Conclusion The experimental findings from the current research demonstrate that the suggested tool ( POAFRiskScore v.1.0 ) can help clinicians predict POAF risk development in the preoperative period after validated on large sample(s) that can represent the related population(s). Simultaneously, since the updated versions of the proposed tool will be released periodically based on the increases in data dimensions with continuously added new samples and related factors, more robust predictions may be obtained in the subsequent stages of the current study in statistical and clinical terms.en_US
dc.description.sponsorshipInonu University Scientific Research Projects Coordination Unit [TCD2017-761, 761]en_US
dc.description.sponsorshipY This study is a part of the research project numbered TCD2017-761 (ID: 761) supported by the Inonu University Scientific Research Projects Coordination Unit.en_US
dc.identifier.doi10.1055/s-0041-1736245
dc.identifier.endpage290en_US
dc.identifier.issn0171-6425
dc.identifier.issn1439-1902
dc.identifier.issue4en_US
dc.identifier.pmid34894632en_US
dc.identifier.scopus2-s2.0-85121487485en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage282en_US
dc.identifier.urihttps://doi.org/10.1055/s-0041-1736245
dc.identifier.urihttps://hdl.handle.net/11616/100372
dc.identifier.volume71en_US
dc.identifier.wosWOS:000729185700006en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherGeorg Thieme Verlag Kgen_US
dc.relation.ispartofThoracic and Cardiovascular Surgeonen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectpostoperative atrial fibrillationen_US
dc.subjectrisk predictionen_US
dc.subjectrisk factorsen_US
dc.subjectprediction softwareen_US
dc.titlePrediction of Postcoronary Artery Bypass Grafting Atrial Fibrillation: POAFRiskScore Toolen_US
dc.typeArticleen_US

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