Methods and systems for predicting the effect of inhaled and infused anesthetics

Patent metadata

Field	Value
Publication number	US-2023165520-A1
Application number	US-202117919474-A
Country	US
Kind code	A1
Filing date	Apr 13, 2021
Priority date	Apr 17, 2020
Publication date	Jun 1, 2023
Grant date	—

Abstract

Disclosed herein are systems and methods for non-invasively predicting a hemodynamic state and/or an anesthetic depth of a patient, such as a pediatric patient. The method may include receiving a peripheral venous pressure (PVP) waveform from the patient, cleaning the PVP waveform, transforming the PVP waveform into the frequency domain, and automatically predicting the hemodynamic state and/or the anesthetic depth of the patient.

First claim

1 . A method of predicting a hemodynamic state of a patient being administered an anesthetic, the method comprising:
receiving a peripheral venous pressure (PVP) waveform from the patient; cleaning the PVP waveform; transforming the PVP waveform into the frequency domain; and automatically predicting a hemodynamic state of the patient.

2 . The method of claim 1 , wherein the hemodynamic state is automatically predicted using a k-nearest neighbor (k-NN), neural network, random forest, SVM, naïve Bayes, and/or K-Means model.

3 . The method of claim 1 , further comprising acquiring the PVP waveform using a peripheral intravenous catheter linked to a pressure transducer.

4 . The method of claim 1 , further comprising measuring the patient's electrocardiography (ECG) and determining ECG and PVP waveform coefficients at the heart rate and respiratory rate frequencies.

5 . The method of claim 1 , wherein cleaning the PVP waveform comprises:
sectioning the PVP waveform at a pre-selected length of time to create one or more segments; calculating a remainder of the PVP waveform divided by the pre-selected length of time; removing any last points of the PVP waveform that are equal to the PVP waveform remainder; calculating the mean and the standard deviation for each segment; and removing a segment if there is at least one point outside a set number of standard deviations selected by the user.

6 . The method of claim 1 , wherein the hemodynamic state is a hypervolemic state, an euvolemic state, or a hypovolemic state.

7 . The method of claim 1 , wherein the anesthetic is an infused anesthetic, and wherein the infused anesthetic is:
an infused GABA agonist selected from propofol, etomidate, and benzodiazepines; an infused narcotic selected from fentanyl, remifentanil, sufentanyl, morphine, and hydromorphone; an infused barbiturate selected from phenobarbital, pentobarbital, and methohexital; an infused NMDA antagonist selected from ketamine and esketamine; an infused alpha agonist such as precedex; or an infused neuraxial anesthetic selected from lidocaine, bupivacaine, ropivacaine, tetracaine, chloroprocaine, clonidine, fentanyl, hydromorphone, morphine, epinephrine, sodium bicarbonate, and glucocorticoids.

8 .- 13 . (canceled)

14 . The method of claim 1 , wherein the patient is a pediatric patient.

15 . A method of predicting an anesthetic depth of a patient being administered an anesthetic, the method comprising:
receiving a peripheral venous pressure (PVP) waveform from the patient; cleaning the PVP waveform; transforming the PVP waveform into the frequency domain; and automatically predicting the anesthetic depth of the patient.

16 . The method of claim 15 , wherein the anesthetic depth is automatically predicted using a k-nearest neighbor (k-NN), neural network, random forest, SVM, naïve Bayes, and/or K-means model.

17 . The method of claim 15 , further comprising acquiring the PVP waveform using a peripheral intravenous catheter linked to a pressure transducer.

18 . The method of claim 15 , further comprising measuring the patient's ECG and determining ECG and PVP waveform coefficients at the heart rate and respiratory rate frequencies.

19 . The method of claim 15 , wherein cleaning the PVP waveform comprises:
sectioning the PVP waveform at a pre-selected length of time to create one or more segments; calculating a remainder of the PVP waveform divided by the pre-selected length of time; removing any last points of the PVP waveform that are equal to the PVP waveform remainder; calculating the mean and the standard deviation for each segment; and removing a segment if there is at least one point outside a set number of standard deviations selected by the user.

20 . The method of claim 15 , wherein the anesthetic depth is a minimum alveolar concentration (MAC) dosage.

21 . The method of claim 15 , wherein the anesthetic is an inhaled anesthetic.

22 . The method of claim 21 , wherein the inhaled anesthetic is selected from isoflurane, sevoflourane, desflurane, halothane, and nitrous oxide.

23 . The method of claim 15 , wherein the patient is a pediatric patient.

24 . The method of claim 15 , further comprising preventing overdosage or underdosage of anesthesia during a medical operation using the predicted anesthetic depth in the patient.

25 . The method of claim 24 , further comprising providing a minimum and/or maximum anesthetic depth; and adjusting the anesthetic administered to the patient to maintain the predicted anesthetic depth within the minimum and maximum values.

26 .- 33 . (canceled)

Assignees

• Bioventures Llc
• Arkansas Childrens Hospital Res Institute
• Univ Arkansas

Inventors

• Sexton Kevin
• Wu Jingxian
• Jensen Morten
• Jensen Hanna
• Dassinger Iii Melvin
• Henry Kaylee
• Sanford Joseph
• Al-Alawi Ali
• Bonasso Patrick

Classifications

• A61B5/4821 Primary

  Determining level or depth of anaesthesia (based on movements A61B5/1106) · CPC title

• A61B5/318

  Heart-related electrical modalities, e.g. electrocardiography [ECG] · CPC title

• A61B5/02152 Primary

  specially adapted for venous pressure · CPC title

• A61B5/0205

  Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition · CPC title

• A61P23/00

  Anaesthetics · CPC title