Evaluation of some predictive scores for acute kidney injury after cardiac surgery

  • Trung Ngo Dinh Bệnh viện Trung ương Quân đội 108
  • Tot Nguyen Hong Bệnh viện Trung ương Quân đội 108
  • Nhat Nguyen Duc Bệnh viện Trung ương Quân đội 108
  • Nga Duong Thi Bệnh viện Trung ương Quân đội 108
  • Anh Tran Duy Bệnh viện Trung ương Quân đội 108

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Keywords

Acute kidney injury, cardiac surgery, risk factor, predictive score

Abstract

Objective: To define the predictive value of some clinical scores for cardiac surgery - associated acute kidney injury (AKI). Subject and method: A descriptive study on 247 patients underwent cardiac surgery with cardiopulmonary bypass in the 108 Military Central Hospital from January 2015 to September 2017. AKI was diagnosed by KDIGO criteria. Three clinical scores were used to predict post-operative AKI, included Cleveland Clinic, ACEF and AKICS. Result: Among 247 patients, AKI was detected in 48.58%. The Cleveland Clinic Score had the highest predictive value with AUC = 0.82 (95% CI: 0.76 - 0.87, p<0.001) for the total AKI, and 0.83 (95% CI: 0.75 - 0.92, p<0.001) for the severe one. With AKICS, AUC = 0.79 (95% CI: 0.73 - 0.84) and 0.73 (95% CI: 0.61 - 0.86, p=0.01) respectively. ACEF shown the lowest benefit in AKI prediction. Conclusion: Cleveland and AKICS can identify patients at risk of AKI after cardiac surgery, but more studies are needed.

Article Details

References

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Published
Aug 15, 2019
Issue
Volume 14 - No 5/2019
Section
Articles
How to Cite
Ngo DinhT., Nguyen HongT., Nguyen DucN., Duong ThiN., & Tran DuyA. (2019). Evaluation of some predictive scores for acute kidney injury after cardiac surgery. Tạp Chí Y Dược lâm sàng 108, 14(5). Retrieved from https://tcydls108.benhvien108.vn/index.php/YDLS/article/view/86