4.6 Article

Development of a practical prediction score for chronic kidney disease after cardiac surgery

Journal

BRITISH JOURNAL OF ANAESTHESIA
Volume 121, Issue 5, Pages 1025-1033

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.bja.2018.07.033

Keywords

acute kidney injury; cardiac surgery; chronic renal insufficiency; renal failure; scoring method

Categories

Funding

  1. STARTER grant from the HUG private foundation (the foundation of the Geneva University Hospitals) [RS03-25]
  2. STARTER grant from the HUG private foundation (University of Geneva's Faculty of Medicine)

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Background: Chronic kidney disease (CKD) is a frequent and serious complication of cardiac surgery. This study was designed to establish a scoring system, calculated in the immediate postoperative period, to assess the risk of CKD at 1 yr in patients undergoing cardiac surgery with cardiopulmonary bypass. Methods: We conducted a cohort study including patients with preoperative estimated glomerular filtration rate above 60 ml min(-1) (1.73 m)(-2) who underwent cardiac surgery with cardiopulmonary bypass. We identified risk factors for de novo CKD at 1 yr using logistic regression. We derived a risk score for CKD, and externally validated this score in a second cohort. Results: The incidence of CKD was 18% and 23% in the derivation and validation cohorts, respectively. We developed a scoring system that included (i) the occurrence of postoperative acute kidney injury according to the Kidney Disease: Improving Global Outcomes criteria, (ii) age older than 65 yr, (iii) preoperative glomerular filtration rate < 80 ml min(-1) (1.73 m) similar to 2, (iv) aortic cross-clamping time longer than 50 min, and (v) the type of surgery (aortic or cardiac transplantation). This score predicted CKD with good accuracy (area under the receiver operating characteristic curve: 0.81; 95% confidence interval: 0.77e0.86 in the derivation cohort), and with fair accuracy in the validation cohort (area under the receiver operating characteristic curve: 0.78; 95% confidence interval: 0.72-0.83). Conclusions: We provide an easy-to-calculate scoring system to identify patients at high risk of developing CKD after cardiac surgery with cardiopulmonary bypass. This system might help clinicians to target more accurately patients requiring monitoring of renal function after cardiac surgery, and to design appropriate interventional trials aimed at preventing CKD or mitigating its consequences.

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