AI-Driven Prediction of Dialysis Outcome With EHR

Wenzhou Medical University

Status: Enrolling

Conditions: Dialysis Patients

Treatments: Other: AI-assisted Predictive Model for Dialysis Outcomes

Study type: Observational

Funder types: Other

Identifiers

NCT06791447

Dialysis

Details and patient eligibility

About

This is a multi-center, clinical study designed to evaluate the application and effectiveness of an AI-assisted predictive model for outcome of dialysis patients, leveraging multimodal health data.

Full description

This study aims to develop an AI-assisted model to predict clinical outcomes in dialysis patients, focusing on both primary outcomes (e.g., mortality) and intermediate outcomes (e.g., anemia, blood pressure, nutritional status, and calcium-phosphate metabolism). The study will utilize patients' EHR data, including laboratory test results, medical history, dialysis treatment information, and clinical observations, to predict these health outcomes. The goal is to improve early identification of at-risk patients, enabling better clinical decision-making and personalized care strategies.

Enrollment: 1,000,000 estimated patients

Sex: All

Ages: 20 to 100 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

1. Patients who have been undergoing dialysis (either hemodialysis or peritoneal dialysis) for at least 3 months.
2. Complete and accessible EHR data, including medical history, laboratory test results, dialysis treatment details, and clinical observations.
3. Participants must provide informed consent for the use of their health data for research purposes.

Exclusion criteria

1. Patients with incomplete or missing critical EHR data, including medical history, laboratory results, dialysis data, or treatment details necessary for the study.
2. Patients who have been on dialysis for less than 3 months, to ensure stable data for outcome prediction.

Trial design

1,000,000 participants in 2 patient groups

High Risk Group

Description:

Participants predicted to have a high risk of mortality based on AI-assisted prediction models using their EHR data, including medical history, lab results, dialysis treatment details, and clinical observations.

Treatment:

Other: AI-assisted Predictive Model for Dialysis Outcomes

Low Risk Group

Description:

Participants predicted to have a low risk of mortality based on the AI-assisted prediction model, who will be compared with the high-risk group for evaluating the effectiveness of early intervention strategies.

Treatment:

Other: AI-assisted Predictive Model for Dialysis Outcomes