Early warning of citric acid overdose and timely adjustment of regional citrate anticoagulation based on machine learning methods.

ABSTRACT:

Background

Regional citrate anticoagulation (RCA) is an important local anticoagulation method during bedside continuous renal replacement therapy. To improve patient safety and achieve computer assisted dose monitoring and control, we took intensive care units patients into cohort and aiming at developing a data-driven machine learning model to give early warning of citric acid overdose and provide adjustment suggestions on citrate pumping rate and 10% calcium gluconate input rate for RCA treatment.

Methods

Patient age, gender, pumped citric acid dose value, 5% NaHCO₃ solvent, replacement fluid solvent, body temperature value, and replacement fluid PH value as clinical features, models attempted to classify patients who received regional citrate anticoagulation i

SUBMITTER: Chen H 

PROVIDER: S-EPMC8323216 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature