A Model of Computer-assisted Prescription of Erythropoiesis-stimulating Agents (ESA) in Patients Under Hemodialysis

NCT ID: NCT04185519

Last Updated: 2021-09-01

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

126 participants

Study Classification

INTERVENTIONAL

Study Start Date

2019-07-24

Study Completion Date

2020-07-30

Brief Summary

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This is a randomized, double-blind controlled trial to compare AI (model) with the physician on prescribing ESA dose to maintain hemoglobin near the therapeutic target, 11g/dl.

Detailed Description

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It has been known well for a long time that End stage renal disease (ESRD) patients usually need ESA to maintain their hemoglobin (Hb) to improve both mortality as well as quality of life. Later, several large-scale RCTs showing normalization of Hb in this population increased the risk of thromboembolic event, which leaded current guidelines to recommend the therapeutic goal for anemia in ESRD should be within a range (usually between 10-12 gm/dl) rather than above or below a certain level (or value). In addition to ESA dose, many factors contribute to the severity of anemia in this population, such as iron status, chronic blood loss, adequacy of dialysis, chronic inflammation, renal wasting, et al. To put all these factors together, maintaining the Hb levels within the target level is a challenge to physician. It was reported that only one third of Hb within the target at any given time. Our data showed, for those under maintenance hemodialysis and without any blood transfusion in observation period, near two third of patients' Hb level were within the target range.

For better anemia management, NKF-K/DOQI developed and published guidelines using protocol or algorithm for EPO prescription.6 Recently, artificial intelligence (AI) has been widely applied to medicine in the field of reducing human error, robotic surgical system and decision- making aid. Since then, there were several studies working on decision making programs to set up model of predicting the ESA dose needed for target Hb level. Artificial neural network (ANN) model is most commonly used for ESA dose-response prediction. However, the effectiveness of these kinds of AI is not confirmed clinically and the result not satisfactory. In other words, it is still inconclusive whether contemporary AI has any role in decision making aid when prescribing ESA dose for dialysis patient, a typical trial and error which AI supposed should be very helpful with.

Based on the mentioned above, we are going to conduct this clinical try to test the hypothesis that AI is not inferior to physician in prescribing ESA dose for hemodialysis patients to maintain hemoglobin(Hb) level to meet the target

Conditions

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End Stage Renal Disease

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Informed consent must be signed before any procedures related to the study for any participant. The subject who meets the inclusion and exclusion criteria will be enrolled and a total of 126 subjects needed to have the power to test the hypothesis. In addition to the Hb levels and EAS doses, all HD-related bio information data in 12 consecutive months before enrollment will be uploaded into the model for further ESA dose prediction. Before randomization, the study subject will continue to receive the ESA by the prescription from the physician.

Randomization period All eligible subjects will be randomized 1:1 by their age, gender, and HD vintage into control arm and intervention arm. After randomization, the study subject will enter the study after the nearest Hb measurement coming.
Primary Study Purpose

OTHER

Blinding Strategy

SINGLE

Investigators

Study Groups

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AI (model)

This is a randomized, double-blind controlled trial to compare AI (model) with the physician on prescribing ESA dose to maintain hemoglobin near the therapeutic target, 11g/dl. A blind check by another physician for the prescriptions from both physician and AI (model) is arranged for safety purpose.

Group Type EXPERIMENTAL

AI (model)

Intervention Type DEVICE

The process of the experiment (brief describe) This is a randomized, double-blind controlled trial to compare AI (model) with the physician on prescribing ESA dose to maintain hemoglobin near the therapeutic target, 11g/dl. A blind check by another physician for the prescriptions from both physician and AI (model) is arranged for safety purpose. Another physician will fail the prescription if the prescribed ESA dose, by his/her experience, will lead the participant's hemoglobin outside the range between 9 and 13 g/dl. Once the failed rate by AI is higher than the physician is 5%, , the study will be terminated. There will be three periods, namely ry 3 months.

DR1

Another physician will fail the prescription if the prescribed ESA dose, by his/her experience, will lead the participant's hemoglobin outside the range between 9 and 13 g/dl.

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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AI (model)

The process of the experiment (brief describe) This is a randomized, double-blind controlled trial to compare AI (model) with the physician on prescribing ESA dose to maintain hemoglobin near the therapeutic target, 11g/dl. A blind check by another physician for the prescriptions from both physician and AI (model) is arranged for safety purpose. Another physician will fail the prescription if the prescribed ESA dose, by his/her experience, will lead the participant's hemoglobin outside the range between 9 and 13 g/dl. Once the failed rate by AI is higher than the physician is 5%, , the study will be terminated. There will be three periods, namely ry 3 months.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

1. signed informed consent
2. Age older than 20 year old.
3. End stage renal disease under regular hemodialysis with three times per week and duration of each session at least 4 hours
4. Having at least consecutive 6 months data of both Hb and biochemical study during dialysis before enrollment and at least one Hb level within the range of 11-12 g/dl
5. Having at least one prescription of ESA supplement to keep Hb within the range of 10-12 g/dl in the past 6 months before the enrollment
6. Having received ESA of the same brand at least 6 months before the enrollment

Exclusion Criteria

1. Ever receiving blood transfusion in the past 12 months
2. Active bleeding with blood loss more than250cc in 3 months before the enrollment
3. Active infection or malignancy
4. Study subject can not follow with the study protocol 3. End of Study

The eligible subject will not be allowed to continue the study once informed consent is withdrawn or event happening meets the following criteria:

1. Taking extra ESAs, Androgens and iron-chelating agents
2. Undergoing surgery with massive haemorrhage, or blood transfusion
3. Receiving systemic chemotherapy or radiotherapy or immunosuppressive therapies.
4. The end of study will be 6 months later after the randomization of last study subject or failed prescription rate higher than 5%, which comes earlier.
Minimum Eligible Age

20 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Kaohsiung Medical University Chung-Ho Memorial Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Kaohsiung Medical University Chung-Ho Memorial Hospital (KMUH)

Kaohsiung City, TW, Taiwan

Site Status

Countries

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Taiwan

References

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Lim LM, Lin MY, Hsu C, Ku C, Chen YP, Kang Y, Chiu YW. Computer-assisted prescription of erythropoiesis-stimulating agents in patients undergoing maintenance hemodialysis: a randomized control trial for artificial intelligence model selection. JAMIA Open. 2025 Mar 27;8(2):ooaf020. doi: 10.1093/jamiaopen/ooaf020. eCollection 2025 Apr.

Reference Type DERIVED
PMID: 40161549 (View on PubMed)

Other Identifiers

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KMUHIRB-F(I)-20190094

Identifier Type: -

Identifier Source: org_study_id

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