Renal Denervation Assembly for Orthostatic Hypertension Selection
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Solution Overview
Problem
Existing renal denervation procedures for hypertension are not effective for all patients, necessitating a method to select and tailor treatment for patients likely to benefit, as not all hypertensive patients respond equally to renal denervation therapy.
Innovation Solution
A therapeutic assembly that determines orthostatic hypertension in patients and predicts the effectiveness of renal denervation therapy, adjusting the delivery of energy based on a treatment model to optimize treatment outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If renal denervation energy is applied to all hypertensive patients, then some patients may experience blood pressure reduction, but many patients will not respond effectively to the treatment
Solution Approach 1:
The system performs preliminary assessment of patient characteristics and hypertension subtype classification before applying renal denervation treatment. This preliminary action identifies patients most likely to respond to treatment, ensuring that renal denervation energy is only applied to appropriate candidates, thereby avoiding wasted energy on non-responsive patients and improving overall treatment reliability
Solution Approach 2:
The system changes the parameter of treatment selection by classifying hypertension into different subtypes (e.g., orthostatic vs. non-orthostatic) and matching treatment modality to the specific subtype. This parameter-based differentiation ensures that renal denervation is applied only to patients whose hypertension characteristics predict treatment responsiveness, eliminating ineffective energy delivery to unsuitable patients
2Productivity
If renal denervation treatment is administered without patient selection, then the procedure can be performed on all patients, but treatment outcomes vary significantly and many patients do not benefit
Solution Approach 1:
The system implements preliminary patient screening and classification procedures that assess hypertension subtype and predict treatment responsiveness before renal denervation is performed. This preliminary action maintains high treatment throughput by efficiently identifying suitable candidates while ensuring high success rates by excluding patients unlikely to benefit, thus resolving the contradiction between productivity and reliability
Solution Approach 2:
The system uses feedback from patient assessment data and treatment response monitoring to continuously refine patient selection criteria. By analyzing outcomes from treated patients and adjusting selection parameters accordingly, the system improves both the efficiency of patient throughput and the reliability of treatment success rates over time
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The assembly enhances the effectiveness of renal denervation by predicting patient responsiveness and tailoring energy delivery, minimizing ineffective procedures and improving treatment success.
Implementation Method 1
uses stimuli or energy, such as radiofrequency, ultrasound, cooling or other energy, to perform ablation within the renal arteries
Implementation Method 2
uses stimuli or energy, such as radiofrequency, ultrasound, cooling or other energy, to perform ablation within the renal arteries
Implementation Method 3
uses stimuli or energy, such as radiofrequency, ultrasound, cooling or other energy, to perform ablation within the renal arteries
Implementation Method 4
measuring a baseline standing systolic blood pressure (SBP) of the patient. The method may include measuring a baseline supine SBP of the patient
Data Source
AI summary
Methods, systems, devices, assemblies and apparatuses for treatment of hypertension in a patient using renal denervation. The therapeutic assembly includes an energy delivery element. The energy delivery element is configured to provide renal denervation energy to a nerve within a blood vessel of a patient. The therapeutic assembly includes a controller. The controller is coupled to the energy delivery element. The controller is configured to determine that the hypertension in the patient is orthostatic. The controller is configured to apply renal denervation energy to the patient using the energy delivery element.