FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2003405162> ?p ?o ?g. }

• W2003405162 endingPage "337" @default.
• W2003405162 startingPage "330" @default.
• W2003405162 abstract "Objective Although an extensive number of studies have attempted to identify predictors of new-onset atrial fibrillation (AFIB) after coronary artery bypass grafting (CABG), a strong predictive model does not exist. Prior studies have included patients recruited from multiple centers with variant AFIB prevalence rates and those who underwent CABG in combination with other surgical procedures. Also, most studies have focused on pre- and perioperative characteristics, with less attention given to the initial postoperative period. The purpose of this study was to comprehensively examine pre-, peri-, and postoperative characteristics that might predict new-onset AFIB in a large sample of patients undergoing isolated CABG in a single medical center, utilizing data readily available to clinicians in electronic data repositories. In addition, length of stay and selected postoperative complications and disposition were compared in patients with AFIB and no AFIB. Design Retrospective, comparative survey. Setting University-affiliated tertiary care hospital. Patients Patients with new-onset AFIB who underwent isolated standard CABG or minimally invasive direct vision coronary artery bypass were identified from an electronic clinical data repository. Interventions None. Measurements and Main Results The prevalence of AFIB in the total sample (n = 814) was 31.9%. Predictors of AFIB included age (p = .0004), number of vessels bypassed (p = .013), vessel location (diagonal [p < .003] or posterior descending artery [p < .001]), and net fluid balance on the operative day (p = .015). Forward stepwise regression analysis produced a model that correctly predicted AFIB in only 24% of cases, with age (14%) and body surface area (9%) providing the most prediction. The incidence of embolic stroke was higher in AFIB (n = 8) vs. no AFIB (n = 4) patients, but stroke preceded AFIB onset in seven of eight cases. Subjects with AFIB had a longer stay (p = .0004), more intensive care unit readmissions (p = .0004), and required more assistance at hospital discharge (p = .017). Conclusions Despite attempts to examine comprehensively predictors of new-onset AFIB, we were unable to identify a robust predictive model. Our findings, in combination with prior work, imply that it may not be feasible to predict the development of new-onset AFIB after CABG using data readily available to the bedside clinician. In this sample, stroke was uncommon and, when it occurred, preceded AFIB in all but one case. As anticipated, AFIB increased length of stay, and patients with this complication required more assistance at discharge." @default.
• W2003405162 created "2016-06-24" @default.
• W2003405162 creator A5039842846 @default.
• W2003405162 creator A5046443769 @default.
• W2003405162 creator A5054092404 @default.
• W2003405162 creator A5058363405 @default.
• W2003405162 creator A5088410690 @default.
• W2003405162 creator A5091808329 @default.
• W2003405162 date "2002-02-01" @default.
• W2003405162 modified "2023-10-13" @default.
• W2003405162 title "Predictors and impact of atrial fibrillation after isolated coronary artery bypass grafting" @default.
• W2003405162 cites W1925404073 @default.
• W2003405162 cites W1974347218 @default.
• W2003405162 cites W1986458649 @default.
• W2003405162 cites W1989597456 @default.
• W2003405162 cites W1992927493 @default.
• W2003405162 cites W1994883270 @default.
• W2003405162 cites W2003648920 @default.
• W2003405162 cites W2005785764 @default.
• W2003405162 cites W2011940469 @default.
• W2003405162 cites W2012222265 @default.
• W2003405162 cites W2013296985 @default.
• W2003405162 cites W2014860687 @default.
• W2003405162 cites W2016526831 @default.
• W2003405162 cites W2031155408 @default.
• W2003405162 cites W2036981325 @default.
• W2003405162 cites W2050424687 @default.
• W2003405162 cites W2051307470 @default.
• W2003405162 cites W2052723422 @default.
• W2003405162 cites W2062914152 @default.
• W2003405162 cites W2065969137 @default.
• W2003405162 cites W2067207951 @default.
• W2003405162 cites W2067232731 @default.
• W2003405162 cites W2068613939 @default.
• W2003405162 cites W2073961713 @default.
• W2003405162 cites W2080026425 @default.
• W2003405162 cites W2081497884 @default.
• W2003405162 cites W2087431627 @default.
• W2003405162 cites W2093851603 @default.
• W2003405162 cites W2094455991 @default.
• W2003405162 cites W2098355201 @default.
• W2003405162 cites W2110249504 @default.
• W2003405162 cites W2110516088 @default.
• W2003405162 cites W2119508730 @default.
• W2003405162 cites W2121317305 @default.
• W2003405162 cites W2141470448 @default.
• W2003405162 cites W2142014297 @default.
• W2003405162 cites W2266993741 @default.
• W2003405162 cites W2397133999 @default.
• W2003405162 cites W2410893115 @default.
• W2003405162 cites W41434375 @default.
• W2003405162 cites W4242637714 @default.
• W2003405162 cites W4243258246 @default.
• W2003405162 cites W4246376973 @default.
• W2003405162 cites W4294882136 @default.
• W2003405162 cites W4321000870 @default.
• W2003405162 doi "https://doi.org/10.1097/00003246-200202000-00011" @default.
• W2003405162 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3679531" @default.
• W2003405162 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/11889304" @default.
• W2003405162 hasPublicationYear "2002" @default.
• W2003405162 type Work @default.
• W2003405162 sameAs 2003405162 @default.
• W2003405162 citedByCount "89" @default.
• W2003405162 countsByYear W20034051622012 @default.
• W2003405162 countsByYear W20034051622013 @default.
• W2003405162 countsByYear W20034051622014 @default.
• W2003405162 countsByYear W20034051622015 @default.
• W2003405162 countsByYear W20034051622016 @default.
• W2003405162 countsByYear W20034051622017 @default.
• W2003405162 countsByYear W20034051622018 @default.
• W2003405162 countsByYear W20034051622020 @default.
• W2003405162 countsByYear W20034051622021 @default.
• W2003405162 countsByYear W20034051622022 @default.
• W2003405162 countsByYear W20034051622023 @default.
• W2003405162 crossrefType "journal-article" @default.
• W2003405162 hasAuthorship W2003405162A5039842846 @default.
• W2003405162 hasAuthorship W2003405162A5046443769 @default.
• W2003405162 hasAuthorship W2003405162A5054092404 @default.
• W2003405162 hasAuthorship W2003405162A5058363405 @default.
• W2003405162 hasAuthorship W2003405162A5088410690 @default.
• W2003405162 hasAuthorship W2003405162A5091808329 @default.
• W2003405162 hasBestOaLocation W20034051622 @default.
• W2003405162 hasConcept C126322002 @default.
• W2003405162 hasConcept C141071460 @default.
• W2003405162 hasConcept C164705383 @default.
• W2003405162 hasConcept C167135981 @default.
• W2003405162 hasConcept C2776820930 @default.
• W2003405162 hasConcept C2779161974 @default.
• W2003405162 hasConcept C3017915907 @default.
• W2003405162 hasConcept C31174226 @default.
• W2003405162 hasConcept C71924100 @default.
• W2003405162 hasConceptScore W2003405162C126322002 @default.
• W2003405162 hasConceptScore W2003405162C141071460 @default.
• W2003405162 hasConceptScore W2003405162C164705383 @default.
• W2003405162 hasConceptScore W2003405162C167135981 @default.
• W2003405162 hasConceptScore W2003405162C2776820930 @default.
• W2003405162 hasConceptScore W2003405162C2779161974 @default.
• W2003405162 hasConceptScore W2003405162C3017915907 @default.

• next