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- W3100671121 abstract "To assess predictive factors of postoperative stroke in cardiac surgery utilising cardiopulmonary bypass (CPB). All patients with CPB treated surgically at Liverpool Hospital, NSW between January 2016 and December 2018 were retrospectively analysed using data collected for the ANZCTS database. Univariate and Multivariate analysis via Firth’s Logistic regression with regards to stroke was performed (STATA v16.1). The significance level of p≤0.1 was selected for multivariate logistic regression analysis to identify independent predictors. A thousand and ninety-two patients in a three-year period were analysed. In this cohort, stroke rate was 3.1%. Via univariate analysis of factors in relation to stroke post cardiopulmonary bypass, recent or past stroke (OR 5.426 vs 2.324), diabetes mellitus (OR 1.922), dialysis dependence (OR 5.672), elective procedures (OR 0.337), aortic procedures (OR 4.015), bypass and cross-clamp time (OR 1.023 & 1.042), postoperative AF (OR 2.281) as well as hypoperfusion times all reached the significance level of p<=0.1 to be included in the multivariate analysis. Multivariate analysis to find independent factors in relation to stroke yielded diabetes mellitus (OR 2.492, p=0.025), Dialysis dependence (OR 3.818, p=0.030), aortic procedures (OR 3.925, p=0.014) and elective procedures (OR 0.235, p=0.026) and independently predictive or protective with regards to postoperative stroke. Independent predictors of stroke in this single centre cohort included dialysis dependence, diabetes and aortic procedures. Elective procedures were shown to be an independent protective factor." @default.
- W3100671121 created "2020-11-23" @default.
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- W3100671121 date "2020-01-01" @default.
- W3100671121 modified "2023-09-27" @default.
- W3100671121 title "609 Independent Predictors of Postoperative Stroke With Cardiopulmonary Bypass" @default.
- W3100671121 doi "https://doi.org/10.1016/j.hlc.2020.09.616" @default.
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