Artificial Intelligence for Optimal Anemia Management in End-stage Renal Disease: The Anemia Control Model (ACM) Trial

NATerminatedINTERVENTIONAL
Enrollment

88

Participants

Timeline

Start Date

December 10, 2018

Primary Completion Date

May 21, 2019

Study Completion Date

May 21, 2019

Conditions
AnemiaEnd Stage Renal Disease
Interventions
DEVICE

Anemia Control Model (ACM)

The ACM is mainly composed of 2 sub-Systems - predictor model which, depending on the input data, forecasts the response to anaemia drug therapy for a specific patient. The predictor model is implemented as a feed-forward artificial neural network. The ACM is an algorithm that extracts the optimal policy to achieve the established clinical outcome for anaemia management using the predictor model.

DRUG

IV iron

IV iron given monthly as required - dose determined by the ACM and as agreed by the investigator

DRUG

Erythropoiesis-Stimulating Agent (ESA)

ESA given monthly as required over 6 months - dose determined by the ACM and as agreed by the investigator

Trial Locations (1)

Unknown

Kings College Hospital, London

Sponsors

Collaborators (1)

All Listed Sponsors
collaborator

Worldwide Clinical Trials

OTHER

collaborator

Fresenius Medical Care Deutschland GmbH

INDUSTRY

lead

Vifor Fresenius Medical Care Renal Pharma

INDUSTRY