Haemoglobin Prediction Model for ESA Dose Stabilization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Maintaining stable haemoglobin levels in patients with anemia is challenging due to the oscillation of haemoglobin values when adjusting erythropoietin (EPO) doses, requiring frequent clinical monitoring and resource-intensive adjustments.
Innovation Solution
A computer-implemented method and device for predicting haemoglobin concentration or mass at a later time by correcting for overhydration and considering factors like endogenous ESA production, iron absorption, and erythrocyte kinetics to determine optimal EPO and iron dosing, thereby stabilizing haemoglobin levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If EPO dose is adjusted frequently to maintain target Hb range, then Hb control responsiveness is improved, but Hb oscillation and instability increase
Solution Approach 1:
The system performs preliminary action by predicting future Hb levels based on current trends and physiological parameters before actual Hb deviation occurs. This allows proactive dose adjustment rather than reactive adjustment, preventing Hb oscillations while maintaining target range compliance.
Solution Approach 2:
The system implements continuous feedback by monitoring multiple parameters (Hb levels, ESA doses, iron supplementation, physiological indicators) and using this information to dynamically adjust EPO dosing decisions, thereby stabilizing Hb levels while maintaining responsiveness.
2Loss of energy
If monthly Hb monitoring is performed, then resource consumption is reduced, but Hb control precision and timeliness deteriorate
Solution Approach 1:
The system enables self-service by using automatically collected data from electronic health records and physiological monitoring devices to perform continuous Hb level assessment and dosing optimization without requiring frequent manual clinical intervention or blood draws.
Solution Approach 2:
The system replaces the mechanical system of frequent physical blood sampling and manual Hb measurement with a computational model that predicts Hb levels based on electronic health data, thereby reducing resource consumption while maintaining or improving monitoring precision.
3Quantity of substance
If EPO dose is increased to raise Hb levels, then Hb concentration improvement is achieved, but Hb oscillation beyond target range increases
Solution Approach 1:
The system applies partial action by determining the precise minimal EPO dose needed to achieve target Hb levels based on individual patient characteristics and current physiological state, rather than applying fixed or excessive dosing regimens that cause oscillations.
Solution Approach 2:
The system dynamically changes dosing parameters (EPO dose amount, frequency, and timing) based on real-time assessment of Hb trends, iron status, and physiological parameters, allowing optimization of Hb concentration while preventing overshoot and oscillation.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The present invention relates to a method for predicting the concentration or the mass of haemoglobin or an approximation thereof, respectively, in a body fluid and/or an extracorporeal sample thereof of a patient at a later, second point of time, the patient having theoretically or in reality been administered a certain dose of an erythropoesis stimulating agent at an earlier, first point of time. It relates further to a method for determining the dose of an erythropoesis stimulating agent to be administered to a patient, to a method for determining whether a patient is affected by circumstances leading to the loss of haemoglobin, to corresponding devices and to an erythropoesis stimulating medicament for use in the treatment of anemia. Finally the present invention relates to corresponding means, digital storage means, a computer program product, and a computer program.