Dabigatran Dosage Calculator for Renal Function Variability

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Solution Overview

Problem

Current dabigatran dosage methods lack flexibility and accuracy, particularly for patients with renal impairment, leading to underdosing or overdosing, and insufficient monitoring exacerbates these issues, increasing thrombotic and hemorrhagic risks.

Innovation Solution

A computer-implemented method using a dosage calculator derived from a plasma level prediction model processes patient data, including kidney function metrics, to determine personalized dabigatran dosages, accounting for variability in drug plasma levels.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If fixed dosage regimens are used for dabigatran, then ease of operation is improved, but manufacturing precision deteriorates due to inability to account for inter-subject variability in plasma levels

Engineering Contradiction:
Improvedosage administrationVSAvoidplasma level control
Core Design Contradiction:
Ease of operationVSManufacturing precision

Solution Approach 1:

The patent applies parameter changes by adjusting the dosage amount based on measured plasma levels of dabigatran. The system dynamically modifies dosing parameters (amount, frequency) to maintain plasma concentrations within the therapeutic window, resolving the contradiction between ease of fixed dosing and precision of plasma level control

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent implements feedback control by measuring plasma dabigatran levels and using this information to adjust subsequent dosing decisions. This closed-loop system continuously monitors outcomes and modifies dosage regimens accordingly, achieving both ease of operation through systematic guidance and precision through adaptive adjustment

Inventive Principle:
Principle #23Feedback

2Device complexity

If standardized dosing guidelines are applied, then device complexity is reduced, but measurement precision deteriorates due to insufficient accounting for individual patient factors

Engineering Contradiction:
Improvedosing systemVSAvoidplasma level measurement
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The system changes dosing parameters based on individual patient factors including renal function, age, weight, and measured plasma levels. This allows the relatively simple dosing system to achieve high measurement precision by adapting to each patient's unique characteristics rather than applying uniform guidelines

Inventive Principle:
Principle #35Parameter changes

3Manufacturing precision

If frequent plasma level monitoring is implemented, then manufacturing precision is improved through better dosage adjustment, but loss of time increases due to additional monitoring requirements

Engineering Contradiction:
Improvedosage accuracyVSAvoidmonitoring time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent applies preliminary action by establishing baseline plasma levels before initiating therapy and performing early monitoring to quickly characterize individual pharmacokinetics. This allows the system to achieve high dosage accuracy while minimizing total monitoring time by intensive early monitoring followed by less frequent subsequent measurements

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250364101A1Dabigatran Dosing
Publication Date: 2025.11.27 MORCHELLA MEDICAL LTD
  • US20250364101A1 patent drawing
  • US20250364101A1 patent drawing
  • US20250364101A1 patent drawing

AI summary

A computer implemented method for determining a dosage of dabigatran for administering to a patient, the method comprising: receiving patient data relating to a patient, wherein the patient data includes a kidney function metric; processing the patient data with a dosage calculator to determine the dosage of dabigatran for administering to the patient, wherein the dosage calculator is derived from a plasma level prediction model; and indicating the dosage.