Serum Creatinine Back-Estimation in Cardiac Surgery Patients: Misclassification of AKI Using Existing Formulae and a Data-Driven Model.

ABSTRACT:

Background and objectives

A knowledge of baseline serum creatinine (bSCr) is mandatory for diagnosing and staging AKI. With often missing values, bSCr is estimated by back-calculation using several equations designed for the estimation of GFR, assuming a "true" GFR of 75 ml/min per 1.73 m(2). Using a data set from a large cardiac surgery cohort, we tested the appropriateness of such an approach and compared estimated and measured bSCr. Moreover, we designed a novel data-driven model (estimated serum creatinine [eSCr]) for estimating bSCr. Finally, we analyzed the extent of AKI and mortality rate misclassifications.

Design, setting, participants, & measurements

Data for 8024 patients (2833 women) in our cardiac surgery center were included from 1997 to 2008. Measured and esti

SUBMITTER: Bernardi MH 

PROVIDER: S-EPMC4791819 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature