Urine output during cardiopulmonary bypass predicts acute kidney injury after cardiac surgery

Young Song, Dong Wook Kim, Young Lan Kwak, Beom Seok Kim, Hyung Min Joo, Jin Woo Ju, Young Chul Yoo

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

Urine output is closely associated with renal function and has been used as a diagnostic criterion for acute kidney injury (AKI). However, urine output during cardiopulmonary bypass (CPB) has never been identified as a predictor of postoperative AKI. Considering altered renal homeostasis during CPB, we made a comprehensible approach to CPB urine output and evaluated its predictability for AKI. Patients undergoing cardiovascular surgery with the use of CPB, between January 2009 and December 2011, were retrospectively reviewed. AKI was defined as an increase in serum creatinine ≥0.3mg/dL in the first postoperative 48hours. We extrapolated a possible optimal amount of urine output from the plot of probability of AKI development according to CPB urine output. After separating patients by the predicted optimal value, we performed stepwise logistic regression analyses to find potential predictors of AKI in both subgroups. A total of 696 patients were analyzed. The amount of CPB urine output had a biphasic association with the incidence of AKI using 4mL/kg/h as a boundary value. In a multivariate logistic regression to find predictors for AKI in entire patients, CPB urine output did not show statistical significance. After separating patients into subgroups with CPB urine output below and over 4mL/kg/h, it was identified as an independent predictor for AKI with the odds ratio of 0.43 (confidence interval 0.30-0.61) and 1.11 (confidence interval 1.02-1.20), respectively. The amount of urine output during CPB with careful analysis may serve as a simple and feasible method to predict the development of AKI after cardiac surgery at an early time point.

Original languageEnglish
Article numbere3757
JournalMedicine (United States)
Volume95
Issue number22
DOIs
Publication statusPublished - 2016 May 1

Bibliographical note

Publisher Copyright:
© 2016 Wolters Kluwer Health, Inc.

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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