Aortic stenosis classification

A technique for the aorta and aortic valve, applied in the direction of cardiac catheterization, catheterization, application, etc., can solve problems such as lack of guidance on the timing of intervention, failure to provide accurate estimates of significance or progression rates, and significance not well understood

Pending Publication Date: 2022-08-05
KONINKLJIJKE PHILIPS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Thus, clinicians are sometimes in a gray area when diagnosing such patients, resulting in inconsistent assessment of AS severity and lack of guidance on the timing of intervention
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Method used

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  • Aortic stenosis classification
  • Aortic stenosis classification
  • Aortic stenosis classification

Examples

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Embodiment Construction

[0025] figure 1 An example system 102 is schematically illustrated. System 102 includes digital information repository(s) 104 and computing device 106 (eg, a computer, etc.). Digital information repository(s) 104 include physical storage media that store digital information. This includes local, remote, distributed and / or other physical storage media. In one example, the digital information repository(s) 104 includes at least information on subjects diagnosed with aortic stenosis, including historical aortic stenosis diagnoses, measurements (eg, AVA, MPG, and Vmax) and / or or other information.

[0026] The illustrated computing device 106 includes a processor 108 (eg, a central processing unit (CPU), a microprocessor (μCPU), and / or other processors) and a computer-readable storage medium ("memory") 110 (excluding transient media), such as physical storage devices such as hard drives, solid state drives, optical discs, etc. The processor 108 is configured to execute instru...

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Abstract

The system (102) includes a digital information repository (104) configured to store an aortic valve area measurement, an average tranaortic pressure gradient measurement, and a peak aortic jet velocity measurement of a subject of interest. The system also includes a computing device (106). The computing device includes a memory (110) configured to store instructions (120) for an aortic stenosis classifier (122). The computing device further includes a processor (108) configured to execute stored instructions for the aortic stenosis classifier, the subject's severity of aortic stenosis is classified based at least on the subject's aortic valve area measurements, the average tranaortic pressure gradient measurements, and the peak aortic jet velocity measurements. The computing device also includes a display configured to display the severity.

Description

technical field [0001] The following relates generally to classification, and more specifically to classification of aortic stenosis. Background technique [0002] Aortic stenosis (AS) occurs in almost 10% of adults over the age of 80, with a 2-year mortality rate of approximately 50% unless outflow obstruction is relieved by aortic valve replacement, such as transcatheter aortic valve replacement (TAVR). ). The "AHA / ACC Guideline for the Management of Patients with Valvular Heart Disease" indicates a defined aortic valve area (AVA) <1.0 cm for severe AS 2 , Mean trans-aortic pressure gradient (MPG)>40mm Hg and peak aortic jet velocity (Vmax)>4m / s. This guideline has been used in intervention programs. Unfortunately, not all patients with severe AS meet the guidelines. Consequently, clinicians are sometimes in a gray area when diagnosing such patients, resulting in inconsistent assessments of AS severity and a lack of guidance on timing of intervention. Further...

Claims

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Application Information

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IPC IPC(8): A61B5/00A61B5/029A61B5/021
CPCA61B8/0883A61B5/7267A61B2576/023A61B5/0044A61B5/029A61B5/021A61B8/12A61B8/445A61B8/4281G16H50/20G16H40/63
Inventor 孙德宇N·马尔库宗
Owner KONINKLJIJKE PHILIPS NV
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