Risk monitoring and early warning method and system for rejection after kidney transplantation

By integrating multi-source heterogeneous data for time-series modeling and individualized baseline construction, the problems of lag and false alarms in post-kidney transplant rejection monitoring in existing technologies have been solved, enabling precise risk warning and targeted intervention, and improving the efficiency of identification and management of post-kidney transplant rejection.

CN121565474APending Publication Date: 2026-02-24WEST CHINA HOSPITAL SICHUAN UNIV
5 Cites 3 Cited by

Patent Information

Application Number
CN202610092355.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-23
Publication Date
2026-02-24

AI Technical Summary

Technical Problem

Current methods for monitoring rejection after kidney transplantation rely on single or lagging indicators and lack time-series fusion and trend assessment of multi-source follow-up data. This results in insufficient interpretability and feasibility of early warnings, and the methods do not fully consider individualized baselines and allowable fluctuation ranges, which can easily lead to false alarms and missed alarms.

Method used

By collecting nursing monitoring data, laboratory indicator data, and ultrasound blood flow parameters of the transplanted kidney, timestamp alignment and standardization are performed to construct a time-series feature sequence. This sequence is then input into a rejection risk prediction model to calculate the contribution weights of nursing monitoring indicators. An individualized baseline model is constructed, deviation features are extracted, and risk scores are calibrated to generate targeted intervention recommendations.

Benefits of technology

It enables precise monitoring of the risk of rejection after kidney transplantation, reduces false alarms and missed alarms, improves clinical usability and intervention efficiency, and allows for early identification and timely intervention of rejection, thus improving patient prognosis.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention relates to a renal transplantation post-operation rejection risk monitoring and early warning method and a renal transplantation post-operation rejection risk monitoring and early warning system. The method comprises the steps of collecting recipient nursing monitoring data, laboratory indexes and transplanted kidney ultrasonic blood flow parameters in a follow-up visit period, performing timestamp alignment, deletion processing and standardization on multi-source data, extracting features to construct a time sequence feature sequence, inputting the time sequence feature sequence into a pre-training risk prediction model, outputting the rejection reaction occurrence probability of the next period, and forming a risk trend. Calculating a nursing sensitive index contribution weight based on the model contribution information, and screening a target nursing monitoring index; and establishing an individualized baseline model to obtain a baseline value and an allowable fluctuation interval, extracting characteristics such as deviation amplitude, direction, rate, fluctuation and continuous deviation duration and the like, and performing individualized calibration on the occurrence probability to obtain a calibration risk score. When the threshold value is not reached and the trend is not triggered, generating a nursing monitoring suggestion of the next period; and pushing early warning and generating grading intervention suggestions when a threshold value is reached or a trend is triggered.
Need to check novelty before this filing date? Find Prior Art