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Investigating the Impact of AI on Shared Decision Making in Post-kidney Transplant Care (PRIMA-AI)

Charité University Medicine Berlin logo

Charité University Medicine Berlin

Status

Active, not recruiting

Conditions

Kidney Transplant Failure

Treatments

Other: AI-based risk prediction for kidney graft loss

Study type

Interventional

Funder types

Other

Identifiers

NCT06056518
CHA-PRIMA-AI

Details and patient eligibility

About

This study aims to analyze the effects of AI-based risk prediction for graft loss on the frequency of conversations about the treatment after graft loss, as well as the associated shared decision making process in post-kidney transplant care in a German kidney transplant center (KTC), as perceived by the patient, their support person and the clinician/physician. Second, it aims to explore changes in patient and support person recall at 12 and 24 months follow-up. Implementation barriers and enablers will also be assessed.

Enrollment

76 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • written informed consent
  • patients with functioning kidney allograft
  • > 12 months after transplantation
  • eGFR < 30 ml/min/1.73m2 according to CKD-EPI 2021 formula
  • at least 18 years of age
  • ability to communicate in German
  • regular follow-up at kidney transplant center

Exclusion criteria

  • multi-organ transplantation
  • eGFR > 30 ml/min/1.73m2 according to CKD-EPI 2021 formula
  • <= 12 months after transplantation
  • less than 18 years of age
  • not able to communicate in German
  • no regular follow-up at kidney transplant center
  • enrollment in another interventional study less than 1 month before participation in this study

Trial design

Primary purpose

Other

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

76 participants in 2 patient groups

Routine Care
No Intervention group
Description:
Patients in the "Routine Care" arm are will undergo regular follow-up at the kidney transplant center.
AI-supported Care
Experimental group
Description:
Patients in the "AI-supported Care" arm will undergo regular follow-up at the kidney transplant center. Treating physicians will be provided an AI-based risk prediction tool that predict 1-year risk of graft loss for patients in this group based on routine parameters.
Treatment:
Other: AI-based risk prediction for kidney graft loss

Trial contacts and locations

1

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Central trial contact

Klemens Budde, MD; Bilgin Osmanodja, MD

Data sourced from clinicaltrials.gov

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