Dry Eye Neurosensory Testing for Treatment Efficacy Assessment
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Solution Overview
Problem
Current methods for diagnosing dry eye disease and assessing the efficacy of treatments are inadequate, particularly in relation to neurosensory abnormalities, which play a significant role in the condition.
Innovation Solution
A battery of tests is developed to assess neurosensory function in dry eye patients, involving ocular provocation methods like keeping eyes open, applying hyperosmolar drops, and exposing to adverse environmental conditions, with responses measured using an esthesiometer, and compared to normative data to diagnose and monitor treatment effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional diagnostic methods are used for dry eye disease, then the diagnostic process is simple, but the measurement precision and ability to detect neurosensory abnormalities is insufficient
Solution Approach 1:
The diagnostic process is divided into multiple distinct test components: threshold determination tests, magnitude estimation tests, and scaling tests. Each test targets specific aspects of neurosensory function, allowing comprehensive assessment while maintaining clear procedural structure and interpretation guidelines for each individual test component.
Solution Approach 2:
The test battery serves multiple diagnostic functions simultaneously: it assesses threshold sensitivity, measures magnitude of sensation, evaluates scaling responses, and monitors treatment efficacy. This multi-functional approach enables a single comprehensive diagnostic system to address various aspects of dry eye disease and neurosensory abnormalities without requiring separate specialized tests for each function.
2Measurement precision
If a comprehensive test battery is implemented to assess neurosensory function, then the diagnostic accuracy improves, but the ease of operation and time required for testing increases
Solution Approach 1:
The threshold determination test is administered first to establish each patient's baseline threshold values. These threshold values are then used to configure the parameters of subsequent magnitude estimation and scaling tests, ensuring that all tests are optimized for each individual patient's sensitivity level. This preliminary configuration minimizes the number of trials needed in subsequent tests while maintaining measurement accuracy.
Solution Approach 2:
The test battery incorporates iterative feedback mechanisms where patient responses from each test component inform the configuration and interpretation of subsequent tests. Threshold values from initial tests feed into magnitude estimation test parameters, and results from all tests are integrated to provide comprehensive diagnostic feedback. This feedback loop enables efficient adaptation of testing parameters to individual patient needs, reducing overall testing time while maintaining precision.
3Measurement precision
If individualized stimulus ranges are determined based on patient thresholds, then the measurement precision for each patient improves, but the complexity of test administration increases
Solution Approach 1:
The test system dynamically adjusts stimulus parameters based on each patient's measured threshold values. Stimulus intensity, duration, and frequency are modified according to individual threshold data, ensuring that each patient receives appropriately calibrated stimulation throughout the test battery. This parameter adaptation maintains measurement precision across diverse patient populations while the automated calculation of personalized parameters reduces manual adjustment complexity.
Data Source
AI summary
Aspect of this invention include methods for measuring the connection between neurosensory abnormalities and dry eye and for testing the efficacy of new and existing therapies of the treatment of Dry Eye in patients with symptoms of this or related conditions.