Predicting Clinical Outcomes in Dialysis Patients Using Electronic Health Records: An AI-Based Approach
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 1,000,000
- 试验地点
- 1
- 主要终点
- Mortality Prediction Accuracy
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 20 Years 至 100 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients who have been undergoing dialysis (either hemodialysis or peritoneal dialysis) for at least 3 months.
- •Complete and accessible EHR data, including medical history, laboratory test results, dialysis treatment details, and clinical observations.
- •Participants must provide informed consent for the use of their health data for research purposes.
排除标准
- •Patients with incomplete or missing critical EHR data, including medical history, laboratory results, dialysis data, or treatment details necessary for the study.
- •Patients who have been on dialysis for less than 3 months, to ensure stable data for outcome prediction.
结局指标
主要结局
Mortality Prediction Accuracy
时间窗: 1 year
The ability of the AI-assisted predictive model to accurately predict the risk of mortality in dialysis patients. Prediction accuracy will be assessed using the Area Under the Curve (AUC), F1 score, and sensitivity/specificity. The model will be evaluated by comparing the predicted mortality risk with actual outcomes (i.e., whether patients survived or passed away during the study period).
次要结局
- Complications Prediction Accuracy(1 year)
研究者
Kang Zhang
Chief Scientist
Wenzhou Medical University