Latent variable modeling improves AKI risk factor identification and AKI prediction compared to traditional methods

Smith, LE; Smith, DK; Blume, JD; Siew, ED; Billings, FT

Billings, FT (reprint author), Vanderbilt Univ, Med Ctr, Dept Anesthesiol, 1211 21st Ave South, Nashville, TN 37205 USA.; Billings, FT (reprint author), Vanderbilt Univ, Med Ctr, Dept Med, Nashville, TN 37235 USA.

BMC NEPHROLOGY, 2017; 18 ( ):

Abstract

Background: Acute kidney injury (AKI) is diagnosed based on postoperative serum creatinine change, but AKI models have not consistently performed well......

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