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

Primary Purpose

Anemia, End Stage Renal Disease

Status
Terminated
Phase
Not Applicable
Locations
United Kingdom
Study Type
Interventional
Intervention
Anemia Control Model (ACM)
IV iron
Erythropoiesis-Stimulating Agent (ESA)
Sponsored by
Vifor Fresenius Medical Care Renal Pharma
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional other trial for Anemia

Eligibility Criteria

19 Years - 90 Years (Adult, Older Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria:

  • Age 19 to 90 years
  • On haemodialysis for the past 18 months prior to baseline
  • Treatment with IV iron sucrose during the past 6 months according to the respective Summary of Product Characteristics (SmPC)
  • Treatment with epoetin beta during the past 6 months according to the respective SmPC
  • Regular Hb measurements and at least 5 (standard of care, approximately monthly) Hb measurements during the past 6 months
  • Ferritin measurements during the past 6 months (at least 2 measurements)
  • Signed informed consent

Exclusion Criteria:

  • Life expectancy <6 months
  • One or more Hb measurements <8 g/dl during the control period
  • Living-donor transplant scheduled within the next 6 months
  • Scheduled for switch to peritoneal dialysis or home haemodialysis
  • Blood transfusion during the past 9 months
  • Pregnancy or breast feeding
  • Active infection
  • Current malignancy or haematological disorder
  • Previous severe hypersensitivity reaction to IV iron sucrose
  • Serious allergic reactions to darbepoetin alfa or epoetin alfa/beta/zeta, respectively
  • Current treatment with PEGylated erythropoietin
  • Surgery in the past 6 months
  • Surgery scheduled within the next 6 months
  • Participation in a clinical trial in the past 7 months

Sites / Locations

  • Kings College Hospital

Arms of the Study

Arm 1

Arm Type

Experimental

Arm Label

Anemia Control Model IV iron and ESA

Arm Description

Anemia Control Model (ACM) algorithm to recommend monthly IV and ESA dose over a 6 month period IV iron: given monthly as required - dosing recommendation by ACM over 6 a month period Erythropoiesis-Stimulating Agent (ESA): given monthly as required - dosing recommendation by ACM over 6 a month period

Outcomes

Primary Outcome Measures

Change in the proportion of patients with haemoglobin within the target range as compared to the historical control period (non-inferiority testing)
The proportion of patients with at least 5 (standard of care, approximately monthly) Hb measurements and with 80% of these measurements within the target range of 10 to 12 g/dl from Month -6 to Month -1 will be compared with the proportion of patients with at least 5 measurements and with 80% of these measurements within target range of 10 to 12 g/dl from Month 1 to Month 6 (non-inferiority testing).

Secondary Outcome Measures

Change in the proportion of patients with haemoglobin within the target range as compared to historical control period (superiority testing)
The proportion of patients with at least 5 (standard of care, approximately monthly) Hb measurements and with 80% of these measurements within the Hb target range of 10 to 12 g/dl from Month -6 to Month -1 will be compared with the proportion of patients with at least 5 measurements and with 80% of these measurements within target range of 10 to 12 g/dl from Month 1 to Month 6 (superiority testing).
Change in haemoglobin fluctuations as compared to historical control period
The Hb fluctuation in patients with at least 5 (standard of care, approximately monthly) Hb measurements from Month -6 to Month -1 and from Month 1 to Month 6 as measured by Hb, Coefficient of Variation (CV), and Standard Deviation (SD) from Month -6 to Month -1 period versus Month 1 to Month 6.
Change in cumulative ESA dose as compared to historical control period
Cumulative ESA dose from Month -6 to Month -1 versus cumulative ESA dose from Month 1 to Month 6.
Change in cumulative IV iron dose as compared to historical control period
Cumulative IV iron dose from Month -6 to Month -1 versus cumulative IV iron dose from Month +1 to Month +6.

Full Information

First Posted
July 5, 2017
Last Updated
January 6, 2020
Sponsor
Vifor Fresenius Medical Care Renal Pharma
Collaborators
Worldwide Clinical Trials, Fresenius Medical Care Deutschland GmbH
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1. Study Identification

Unique Protocol Identification Number
NCT03214627
Brief Title
Artificial Intelligence for Optimal Anemia Management in End-stage Renal Disease: The Anemia Control Model (ACM) Trial
Acronym
ANEMEX
Official Title
ANEMEX UK Trial: Artificial Intelligence for Optimal Anemia Management in End-stage Renal Disease: The Anemia Control Model (ACM) Trial
Study Type
Interventional

2. Study Status

Record Verification Date
January 2020
Overall Recruitment Status
Terminated
Why Stopped
Standard clinical practice at site caused unforeseen issues for the use of the ACM
Study Start Date
December 10, 2018 (Actual)
Primary Completion Date
May 21, 2019 (Actual)
Study Completion Date
May 21, 2019 (Actual)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
Vifor Fresenius Medical Care Renal Pharma
Collaborators
Worldwide Clinical Trials, Fresenius Medical Care Deutschland GmbH

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
Yes

5. Study Description

Brief Summary
Fresenius Medical Care has developed a computer software programme called the Anaemia Control Management (ACM) software to assist in the anaemia management of patients with chronic kidney disease (CKD) undergoing hemodialysis. This trial is designed to assess the effectiveness of this ACM software on anaemia management in routine clinical practice. However, all ultimate decisions on therapeutic or diagnostic procedures, treatments, management of the disease, or resource utilisation will be at the discretion of the Investigator. The trial consists of a retrospective (historical) control period and a prospective (going forward) period. During the prospective period, the ACM will be used to assist the Investigators' decision making and will help the Investigators to administer a personalised intravenous (IV) iron and red blood cell stimulating agent (ESA) therapy, whereas treatment according to standard of care will be documented retrospectively for the same patients during the retrospective period of the trial. Thus, patients can serve as their own control.
Detailed Description
Fresenius Medical Care has developed an algorithm that uses a data-driven computational intelligence model based on an artificial neural network architecture (ACM) to generate individualised ESA dose recommendations from a history of dose and response information and specific patient demographic characteristics. The ACM has been validated and complies with the European requirements for medical devices. The ACM was classified as a Class I medical device in accordance with Directive 93/42/EEC. A proof of concept trial was conducted in 3 NephroCare dialysis clinics (managed by Fresenius) in the Czech Republic, Portugal, and Spain. It could be shown that the introduction of ACM-guided therapy led to a significant decrease in median darbepoetin doses and to a significant increase in on-target haemoglobin (Hb) values along with a decrease in Hb fluctuation. Moreover, a retrospective trial conducted in NephroCare clinics in Portugal, suggested that ACM is able to reliably predict the long-term response to ESA and iron therapy in patients undergoing haemodialysis. The current trial will test the applicability of the ACM outside of Fresenius clinics in a public hospital setting in the UK. Both intravenous (IV) iron and ESA doses will be recommended by the algorithm. The effectiveness of ACM-guided therapy on several anaemia outcomes will be assessed in adult patients with End Stage Renal Disease (ESRD).This trial will be conducted at 1 main unit and 5 satellite units at King's College Hospital, London, UK, in patients with ESRD who are routinely undergoing haemodialysis. This trial is designed to assess the effectiveness of the ACM software on anaemia management in routine clinical practice. However, all ultimate decisions on therapeutic or diagnostic procedures, treatments, management of the disease, or resource utilisation will be at the discretion of the Investigator. The trial will consist of a retrospective control period and a prospective period. During the prospective period, the ACM will be used to facilitate the Investigators' decision making and will help the Investigators to administer a personalised IV iron and ESA therapy, whereas treatment according to standard of care will be documented retrospectively for the same patients during the retrospective period of the trial. Thus, patients can serve as their own control. The planned overall duration of the trial is 18 months (12 months recruitment period + 6 months until last patient last visit). The planned duration of prospective treatment for an individual patient will be 6 months. The collection of retrospective data from medical records covering a period of 6 months will take place as soon as the Informed Consent Form (ICF) is signed but at the latest at baseline. Data will be collected at designated time Points (monthly) throughout the Trial once the ICF is signed: at the latest at baseline (collection of retrospective data), at baseline (start of prospective documentation), and for the observation time points (Month 1 to Month 6). However, examinations will follow routine clinical practice at the site according to the Investigator's decision.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Anemia, End Stage Renal Disease

7. Study Design

Primary Purpose
Other
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Model Description
The trial will consist of a retrospective control period and a prospective period. During the prospective period, the ACM will be used to facilitate the Investigators' decision making and will help the Investigators to administer a personalised IV iron and ESA therapy, whereas treatment according to standard of care will be documented retrospectively for the same patients during the retrospective (historical) period of the trial. Thus, patients can serve as their own control.
Masking
None (Open Label)
Allocation
N/A
Enrollment
88 (Actual)

8. Arms, Groups, and Interventions

Arm Title
Anemia Control Model IV iron and ESA
Arm Type
Experimental
Arm Description
Anemia Control Model (ACM) algorithm to recommend monthly IV and ESA dose over a 6 month period IV iron: given monthly as required - dosing recommendation by ACM over 6 a month period Erythropoiesis-Stimulating Agent (ESA): given monthly as required - dosing recommendation by ACM over 6 a month period
Intervention Type
Device
Intervention Name(s)
Anemia Control Model (ACM)
Intervention Description
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.
Intervention Type
Drug
Intervention Name(s)
IV iron
Other Intervention Name(s)
Venofer, iron sucrose
Intervention Description
IV iron given monthly as required - dose determined by the ACM and as agreed by the investigator
Intervention Type
Drug
Intervention Name(s)
Erythropoiesis-Stimulating Agent (ESA)
Other Intervention Name(s)
epoetin beta
Intervention Description
ESA given monthly as required over 6 months - dose determined by the ACM and as agreed by the investigator
Primary Outcome Measure Information:
Title
Change in the proportion of patients with haemoglobin within the target range as compared to the historical control period (non-inferiority testing)
Description
The proportion of patients with at least 5 (standard of care, approximately monthly) Hb measurements and with 80% of these measurements within the target range of 10 to 12 g/dl from Month -6 to Month -1 will be compared with the proportion of patients with at least 5 measurements and with 80% of these measurements within target range of 10 to 12 g/dl from Month 1 to Month 6 (non-inferiority testing).
Time Frame
Month -6 to Month -1 compared with Month +1 to Month +6
Secondary Outcome Measure Information:
Title
Change in the proportion of patients with haemoglobin within the target range as compared to historical control period (superiority testing)
Description
The proportion of patients with at least 5 (standard of care, approximately monthly) Hb measurements and with 80% of these measurements within the Hb target range of 10 to 12 g/dl from Month -6 to Month -1 will be compared with the proportion of patients with at least 5 measurements and with 80% of these measurements within target range of 10 to 12 g/dl from Month 1 to Month 6 (superiority testing).
Time Frame
Month -6 to Month -1 compared with Month +1 to Month +6
Title
Change in haemoglobin fluctuations as compared to historical control period
Description
The Hb fluctuation in patients with at least 5 (standard of care, approximately monthly) Hb measurements from Month -6 to Month -1 and from Month 1 to Month 6 as measured by Hb, Coefficient of Variation (CV), and Standard Deviation (SD) from Month -6 to Month -1 period versus Month 1 to Month 6.
Time Frame
Month -6 to Month -1 compared with Month +1 to Month +6
Title
Change in cumulative ESA dose as compared to historical control period
Description
Cumulative ESA dose from Month -6 to Month -1 versus cumulative ESA dose from Month 1 to Month 6.
Time Frame
Month -6 to Month -1 compared with Month +1 to Month +6
Title
Change in cumulative IV iron dose as compared to historical control period
Description
Cumulative IV iron dose from Month -6 to Month -1 versus cumulative IV iron dose from Month +1 to Month +6.
Time Frame
Month -6 to Month -1 compared with Month +1 to Month +6

10. Eligibility

Sex
All
Minimum Age & Unit of Time
19 Years
Maximum Age & Unit of Time
90 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: Age 19 to 90 years On haemodialysis for the past 18 months prior to baseline Treatment with IV iron sucrose during the past 6 months according to the respective Summary of Product Characteristics (SmPC) Treatment with epoetin beta during the past 6 months according to the respective SmPC Regular Hb measurements and at least 5 (standard of care, approximately monthly) Hb measurements during the past 6 months Ferritin measurements during the past 6 months (at least 2 measurements) Signed informed consent Exclusion Criteria: Life expectancy <6 months One or more Hb measurements <8 g/dl during the control period Living-donor transplant scheduled within the next 6 months Scheduled for switch to peritoneal dialysis or home haemodialysis Blood transfusion during the past 9 months Pregnancy or breast feeding Active infection Current malignancy or haematological disorder Previous severe hypersensitivity reaction to IV iron sucrose Serious allergic reactions to darbepoetin alfa or epoetin alfa/beta/zeta, respectively Current treatment with PEGylated erythropoietin Surgery in the past 6 months Surgery scheduled within the next 6 months Participation in a clinical trial in the past 7 months
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Iain Macdougall
Organizational Affiliation
King's College Hospital NHS Trust
Official's Role
Principal Investigator
Facility Information:
Facility Name
Kings College Hospital
City
London
Country
United Kingdom

12. IPD Sharing Statement

Citations:
PubMed Identifier
25864164
Citation
Barbieri C, Mari F, Stopper A, Gatti E, Escandell-Montero P, Martinez-Martinez JM, Martin-Guerrero JD. A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis. Comput Biol Med. 2015 Jun;61:56-61. doi: 10.1016/j.compbiomed.2015.03.019. Epub 2015 Mar 23.
Results Reference
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PubMed Identifier
27262365
Citation
Barbieri C, Molina M, Ponce P, Tothova M, Cattinelli I, Ion Titapiccolo J, Mari F, Amato C, Leipold F, Wehmeyer W, Stuard S, Stopper A, Canaud B. An international observational study suggests that artificial intelligence for clinical decision support optimizes anemia management in hemodialysis patients. Kidney Int. 2016 Aug;90(2):422-429. doi: 10.1016/j.kint.2016.03.036. Epub 2016 Jun 2.
Results Reference
background
PubMed Identifier
26939055
Citation
Barbieri C, Bolzoni E, Mari F, Cattinelli I, Bellocchio F, Martin JD, Amato C, Stopper A, Gatti E, Macdougall IC, Stuard S, Canaud B. Performance of a Predictive Model for Long-Term Hemoglobin Response to Darbepoetin and Iron Administration in a Large Cohort of Hemodialysis Patients. PLoS One. 2016 Mar 3;11(3):e0148938. doi: 10.1371/journal.pone.0148938. eCollection 2016.
Results Reference
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Artificial Intelligence for Optimal Anemia Management in End-stage Renal Disease: The Anemia Control Model (ACM) Trial

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