A web-based machine-learning algorithm predicting postoperative acute kidney injury after total knee arthroplasty
Author:
Funder
Seoul National University Hospital
Publisher
Springer Science and Business Media LLC
Subject
Orthopedics and Sports Medicine,Surgery
Link
https://link.springer.com/content/pdf/10.1007/s00167-020-06258-0.pdf
Reference27 articles.
1. Bell S, Dekker FW, Vadiveloo T, Marwick C, Deshmukh H, Donnan PT et al (2015) Risk of postoperative acute kidney injury in patients undergoing orthopaedic surgery–development and validation of a risk score and effect of acute kidney injury on survival: observational cohort study. BMJ 351:h5639
2. Belmont PJ Jr, Goodman GP, Waterman BR, Bader JO, Schoenfeld AJ (2014) Thirty-day postoperative complications and mortality following total knee arthroplasty: incidence and risk factors among a national sample of 15,321 patients. J Bone Joint Surg Am 96:20–26
3. Billings FTt, Hendricks PA, Schildcrout JS, Shi Y, Petracek MR, Byrne JG et al (2016) High-dose perioperative atorvastatin and acute kidney injury following cardiac surgery: a randomized clinical trial. JAMA 315:877–888
4. Coca SG, Singanamala S, Parikh CR (2012) Chronic kidney disease after acute kidney injury: a systematic review and meta-analysis. Kidney Int 81:442–448
5. Coca SG, Yusuf B, Shlipak MG, Garg AX, Parikh CR (2009) Long-term risk of mortality and other adverse outcomes after acute kidney injury: a systematic review and meta-analysis. Am J Kidney Dis 53:961–973
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