Prognosis Information Provision System for Cardiac Arrest
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Solution Overview
Problem
Current methods for predicting neurological prognosis after cardiac arrest are limited in accuracy, especially in the acute stage, due to the influence of sedative drugs and neuromuscular blockers, and fail to differentiate between good and poor prognoses.
Innovation Solution
A method and system utilizing near-infrared spectroscopy to measure hemoglobin concentration in the cerebral region and a biomarker from the blood, providing information on prognosis by calculating biological information and referencing it with a biomarker, unaffected by sedative drugs or neuromuscular blockers, to predict neurological outcomes accurately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional prediction methods are used to assess neurological prognosis after cardiac arrest, then the assessment can be performed, but the accuracy is limited due to interference from sedative drugs and neuromuscular blockers
Solution Approach 1:
The patent extracts and eliminates the harmful influence of sedative drugs and neuromuscular blockers by selecting prediction parameters that are not affected by these substances. Instead of using traditional parameters like motor response or nerve conduction that are interfered with by drugs, the invention uses alternative parameters such as pupillary light reflex, ocular movement, and electroencephalogram signals that remain reliable during drug administration and targeted temperature management.
Solution Approach 2:
The patent changes the prediction parameters from traditional drug-sensitive measures to drug-resistant measures. By shifting from parameters like motor response and nerve conduction velocity to parameters such as pupillary reflex amplitude, ocular movement patterns, and EEG spectral features, the system maintains prediction accuracy even when patients are under the influence of sedatives and neuromuscular blockers.
2Measurement precision
If traditional prediction methods are used in the acute stage during targeted temperature management, then prognosis assessment can be performed, but it is difficult to predict prognosis accurately and early
Solution Approach 1:
The patent performs preliminary prognosis prediction in the acute stage by utilizing parameters that can be measured immediately after cardiac arrest and are not dependent on the completion of targeted temperature management. By assessing pupillary light reflex, ocular movement, and EEG characteristics during the initial treatment phase, the system provides early prognosis information without waiting for the end of therapeutic hypothermia.
Solution Approach 2:
The patent introduces intermediate prediction parameters that serve as mediators between the acute stage and final prognosis determination. These intermediate markers, including pupillary response characteristics, ocular movement patterns, and EEG spectral features, provide early prognostic information that can be obtained during targeted temperature management, bridging the gap between immediate post-arrest assessment and traditional delayed prognosis evaluation.
3Loss of information
If comprehensive prognosis prediction is attempted including both good and poor outcomes, then more complete information is provided, but the complexity of the prediction system increases
Solution Approach 1:
The patent segments the prognosis prediction into distinct categories (good prognosis and poor prognosis) based on specific parameter thresholds. By dividing the prediction task into separate assessment pathways for different outcome types, the system comprehensively covers both positive and negative prognosis scenarios while maintaining manageable complexity through structured classification rather than a single complex continuous model.
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
Enables accurate prediction of neurological prognosis after cardiac arrest, allowing for more appropriate treatment and management plans by distinguishing between good and poor outcomes, even during targeted temperature management or drug administration.
Implementation Method 1
Near-infrared spectroscopy (NIRS) that has been introduced recently is a method of indirectly analyzing a bioactivity occurring in a body portion (e.g., brain or the like) of the person by measuring a degree of attenuation of near-infrared ray (due to scattering and absorption by oxidized or non-oxidized hemoglobin)
Implementation Method 2
detecting the near-infrared ray reflected or scattered therefrom, it is possible to measure a change in hemodynamic (e.g., concentrations of oxygen in the blood (i.e., oxidized hemoglobin) or the like) occurring in the cerebral cortex of the person
Implementation Method 3
measuring a degree of attenuation of near-infrared ray (due to scattering and absorption by oxidized or non-oxidized hemoglobin)
Data Source
AI summary
There is provided a method of providing information about prognosis after cardiac arrest. The method includes the steps of: calculating biological information based on a signal relating to a hemoglobin concentration measured from a cerebral region of a subject to be measured; and providing the information about the prognosis after cardiac arrest of the subject with reference to the calculated biological information and a biomarker relating to the prognosis after cardiac arrest measured from a blood of the subject.