IP Library › Granted Patent US 12,268,511
Granted Patent B2
US 12,268,511 · App. 18/734,876 · Granted Apr 8, 2025

Methods and devices for providing a parameter that indicates a higher likelihood of a postoperative delirium occurring

Inventors: Susanne Koch (Berlin, DE); Claudia Spies (Berlin, DE)
Assignee: COVIDIEN LP
A61B5/374A61B5/7271G16H10/60G16H50/70G01R23/15G16H50/20
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Quick Facts
Patent No.
US 12,268,511
App. No.
18/734,876
Granted
Apr 8, 2025
Kind
B2
Abstract

The present disclosure relates to methods and devices for providing parameters that indicate a higher likelihood of a postoperative delirium occurring. According to an aspect of the present disclosure, the following steps are provided: detecting at least one EEG signal at the head of the patient; determining the average amplitude of the “direct current” EEG signal; checking whether an increase in the determined average amplitude when entering anesthetic-induced loss of consciousness is above a predefined amount, and in the event of this, providing a corresponding information in the form of a parameter that shows a higher likelihood of a postoperative delirium occurring.

Claims (32)

1. A method for providing a parameter that indicates a heightened likelihood of postoperative delirium occurring, wherein the method comprises:

receiving at least one electroencephalography (EEG) signal from a patient over a period of time;

filtering the at least one EEG signal to produce at least one filtered EEG signal comprising a range of frequencies below a predefined frequency threshold;

determining a plurality of average amplitudes of the at least one filtered EEG signal over the period of time, wherein the plurality of average amplitudes comprises a first average amplitude at a first point in time within the period of time prior to an anesthesia-inducing loss of consciousness of the patient and a second average amplitude at a second point in time within the period of time when the patient enters the anesthesia-inducing loss of consciousness;

determining a difference value between the first average amplitude and the second average amplitude; and

providing the parameter that indicates the heightened likelihood of postoperative delirium occurring based on the difference value being greater than a predefined value.

2. The method of claim 1 , comprising determining a curve of the plurality of average amplitudes of the at least one filtered EEG signal over the period of time, wherein the difference value is determined based on the curve.

3. The method of claim 1 , wherein the predefined value is determined by:

averaging a first plurality of average amplitudes measured from a first plurality of patients who have not developed postoperative delirium at a first point in time when the first plurality of patients enters the anesthesia-inducing loss of consciousness to determine a first reference value,

averaging a second plurality of average amplitudes measured from a second plurality of patient who have developed postoperative delirium at a second point in time when the first plurality of patients enters the anesthesia-inducing loss of consciousness to generate a second reference value, and

determining a relationship between the first reference value and the second reference value.

4. The method of claim 3 , wherein the predefined value is determined based on a difference between the first reference value and the second reference value.

5. The method of claim 1 , wherein the predefined value is dependent on an age bracket of the patient.

6. The method of claim 1 , wherein the at least one EEG signal is received from a sensor in a Cz position of a 10-20 position system on a head of the patient.

7. The method of claim 1 , wherein the parameter is provided when the difference value exceeds a defined percentage deviation from the predefined value or a defined absolute difference between the first average amplitude and the second average amplitude.

8. The method of claim 1 , wherein the at least one filtered EEG signal is filtered through a low-pass filter.

9. The method of claim 8 , wherein the predefined frequency threshold comprises 0.5 Hertz (Hz) or 0.1 Hz.

10. A device for providing a parameter that indicates a heightened likelihood of postoperative delirium occurring, wherein the device comprises:

a sensor to receive at least one electroencephalography (EEG) signal from a patient over a period of time;

a filter to filter the at least one EEG signal to produce at least one filtered EEG signal comprising a range of frequencies below a predefined frequency threshold; and

a processor to:

determine a plurality of average amplitudes of the at least one filtered EEG signal over the period of time, wherein the plurality of average amplitudes comprises a first average amplitude at a first point in time within the period of time prior to an anesthesia-inducing loss of consciousness of the patient and a second average amplitude at a second point in time within the period of time when the patient enters the anesthesia-inducing loss of consciousness;

determine a difference value between the first average amplitude and the second average amplitude; and

provide the parameter that indicates the heightened likelihood of postoperative delirium occurring based on the difference value being greater than a predefined value.

11. The device of claim 10 , wherein the processor determines a curve based on the plurality of average amplitudes of the at least one filtered EEG signal over the period of time, wherein the second average amplitude corresponds with a peak in the curve.

12. The device of claim 10 , wherein the processor determines the predefined value by:

averaging a first plurality of average amplitudes measured from a first plurality of patients who have not developed postoperative delirium at a first point in time when the first plurality of patients enters the anesthesia-inducing loss of consciousness to determine a first reference value,

averaging a second plurality of average amplitudes measured from a second plurality of patient who have developed postoperative delirium at a second point in time when the first plurality of patients enters the anesthesia-inducing loss of consciousness to generate a second reference value, and

determining a difference between the first reference value and the second reference value.

13. The device of claim 10 , comprising a sensor to receive the at least one EEG signal, wherein the sensor is positioned on a head of the patient at a Cz position of a 10-20 position system.

14. The device of claim 13 , wherein the at least one EEG signal comprises a direct current EEG signal.

15. The device of claim 10 , wherein the filter comprises a low-pass filter with a frequency cutoff of 0.5 Hz or 0.1 Hz.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 11, 2024
From: KOCH, SUSANNE; SPIES, CLAUDIA
To: COVIDIEN LP
Reel/Frame 067692/0665 →
Priority Claims (1)
DE 102018114364.8 · Jun 15, 2018 · national
Continuity (2)
Continuation 17252113
Related Publication 20240315635A1 · Sep 26, 2024
References Cited (29)
US 4846190A · John · 1989 [cited by applicant]
US 20100042011A1 · Doidge et al. · 2010 [cited by applicant]
US 20120165696A1 · Arns · 2012 [cited by applicant]
US 20150080754A1 · Purdon et al. · 2015 [cited by applicant]
US 20150126891A1 · Scheib · 2015 [cited by applicant]
US 20160045128A1 · Sitt et al. · 2016 [cited by applicant]
US 20160228028A1 · Kooi et al. · 2016 [cited by applicant]
US 20160324446A1 · Prerau et al. · 2016 [cited by applicant]
US 20190142336A1 · Purdon et al. · 2019 [cited by applicant]
US 20190216389A1 · Scheib · 2019 [cited by applicant]
CN 1261801A · 2000 [cited by applicant]
KR 101633217B1 · 2016 [cited by applicant]
WO 2019145748A2 · 2019 [cited by applicant]
Giatiino et al., “Intraoperative Frontal Alpha-Band Power Correlates with Preoperative Neurocognitive Function in Older Adults,” Frontiers in Systems Neuroscience, vol. 11, Article 24, May 8, 2017, 11 pp. [cited by applicant]
Kreuzer, “EEG Based Monitoring of General Anesthesia: Taking the Next Steps,” Frontiers in Computational Neuroscience, vol. 11, Article 56, Jun. 2017, 7 pp. [cited by applicant]
Gaskell et al., “Modulation of frontal EEG alpha oscillations during maintenance and emergence phases of general anaesthesia to improve early neurocognitive recovery in older patients: protocol for a randomised controll… [cited by applicant]
Fritz et al., “Intraoperative Electroencephalogram Suppression Predicts Postoperative Delirium,” Anesth. Analg. vol. 122, Jan. 2016, 18 pp. [cited by applicant]
Deiner et al., “Can Intraoperative Processed EEG Predict Postoperative Cognitive Dysfunction in the Elderly?”, Clinical Therapeutics, vol. 37, No. 12, Dec. 2015, pp. 2700-2705. [cited by applicant]
Purdon et al., “Electroencephalogram signatures of loss and recovery of consciousness from propofol,” Proceedings of the National Academy of Sciences, vol. 110, No. 12, Mar. 4, 2013, pp. 1142-1151. [cited by applicant]
Smith et al., “Anesthetic Technique {Sufentanil Versus Ketamine Plus Midazolam) and Quantitative Electroencephalographic Changes After Cardiac Surgery,” Journal of Cardiothoracic and Vascular Anesthesia, vol. 20 No. 4, … [cited by applicant]
Plaschke et al., “Early postoperative delirium after open-heart cardiac surgery is associated with decreased bispectral EEG and increased cortisol and interleukin-6,” Intensive Care Med, vol. 36, Aug. 6, 2010, pp. 2081-… [cited by applicant]
International Preliminary Report on Patentability, and English translation thereof, from International Application No. PCT/EP2019/065832, mailed Dec. 15, 2020, 26 pp. [cited by applicant]
International Search Report and Written Opinion, and English translation thereof, from International Application No. PCT/EP2019/065832, mailed Sep. 18, 2019, 30pp. [cited by applicant]
Gu et al. “Integrative Frequency Power of EEG Correlates with Progression of Mild Cognitive Impairment to dementia in Parkinson's Disease,” Clinical EEG and Neuroscience, vol. 27, No. 2, Apr. 2016, pp. 113-117. [cited by applicant]
Radtke et al., “Monitoring depth of anesthesia in a randomized trial decreases the rate of postoperative delirium but not postoperative cognitive dysfunction,” British Journal of Anaesthesia, vol. 110, Supp. Issue 1, Ju… [cited by applicant]
Palanca, et.al. “Electroencephalography and delirium in the postoperative period,” British Journal of Anaesthesia. Aug. 1, 2017; vol. 119(2): pp. 294-307. doi: 10.1093/bja/aew475. (Year: 2017). [cited by applicant]
Hight, et.al. “Changes in Alpha Frequency and Power of the Electroencephalogram during Volatile-Based General Anesthesia,” Frontiers in Systems Neuroscience. May 29, 2017; vol. 11 :36. doi: 10.3389/fnsys.2017.00036. (Ye… [cited by applicant]
CN Office Action for Chinese Application No. 201980040221.2 mailed Jun. 27, 2024. [cited by applicant]
Arendina W. Van Der Kooi et al., “What Are the Opportunities for EEG-Based Monitoring of Delirium in the ICU?,” J Neuropsychiatry Clin Neurosci, Fall 2012, 24:472-477. [cited by applicant]