System and method for analyzing a patient status for myocardial ischemia for use in automated patient care

• US 7,299,087 B2
• Filed: 06/24/2004
• Issued: 11/20/2007
• Est. Priority Date: 11/16/1999
• Status: Expired due to Term

• Current Assignee: Cardiac Intelligence Corp (Boston Scientific Corporation)
• Original Assignee: Cardiac Intelligence Corp (Boston Scientific Corporation)
• Inventors: Bardy, Gust H.
• Primary Examiner(s): EVANISKO, GEORGE ROBERT
• Application Number:
  US10/876,126
• Publication Number:
  US 20040236237A1
• Time in Patent Office: 1,244 Days
• Field of Search: 600/508, 600/513, 128/920, 128/923, 128/924, 128/925
• US Class Current: 600/513
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/02 Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/0215 by means inserted into the body catheters A61M25/00
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/029 Measuring or recording blood output from the heart, e.g. minute volume A61B8/065 takes precedence
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/361 Detecting fibrillation
• CPC Class Codes: A61B 5/366 Detecting abnormal QRS complex, e.g. widening
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61N 1/36507 controlled by gradient or slope of the heart potential
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/40 relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A system and method for providing diagnosis and monitoring of myocardial ischemia for use in automated patient care is described. At least one recorded physiological measure is compared to at least one other recorded physiological measure on a substantially regular basis to quantify a change in patient pathophysiological status for equivalent patient information. An absence, an onset, a progression, a regression, and a status quo of myocardial ischemia is evaluated dependent upon the change in patient pathophysiological status.

Claims

1. A system for analyzing a patient status for myocardial ischemia for use in automated patient care, comprising:

a server system receiving a set of one or more physiological measures relating to patient information directly recorded by a medical device on a substantially continuous basis or derived therefrom;

a database module storing the physiological measures set into a patient care record for an individual patient into a database; and

an analyzer analyzing one or more of the physiological measures in the physiological measures set relative to one or more other physiological measures and determining therefrom an onset, a progression, a regression, and a status quo of myocardial ischemia.

2. A system according to claim 1, further comprising:

the analyzer analyzing the physiological measures in the physiological measures set relative to the other physiological measures and determining therefrom an onset, a progression, a regression, and a status quo of diseases other than myocardial ischemia.

3. A system according to claim 1, further comprising:

the server system receiving a set of one or more quality of life measures relating to patient information recorded on a substantially continuous basis or derived therefrom;

the database module staring the quality of life measures set into the patient care record for the individual patient into the database; and

the analyzer analyzing the quality of life measures in the physiological measures set relative to the other quality of life measures and determining therefrom an onset, a progression, a regression, and a status quo of myocardial ischemia.

4. A system according to claim 1, further comprising:

the server system receiving a set of one or more baseline physiological measures relating to patient information recorded during an initial time period or derived therefrom;

the database module storing the baseline physiological measures set into the patient care record for the individual patient into the database; and

the analyzer analyzing the physiological measures in the physiological measures set relative to the baseline physiological measures and determining therefrom an onset, a progression, a regression, and a status quo of myocardial ischemia.

5. A system according to claim 1, further comprising:

a comparison module retrieving the other physiological measures from measures sets for at least one of an individual patient, a peer group, and a overall patient population.

6. A method for analyzing a patient status for myocardial ischemia for use in automated patient care, comprising:

receiving a set of one or more physiological measures relating to patient information directly recorded by a medical device on a substantially continuous basis or derived therefrom;

storing the physiological measures set into a patient care record for an individual patient into a database; and

analyzing one or more of the physiological measures in the physiological measures set relative to one or more other physiological measures and determining therefrom an onset, a progression, a regression, and a status quo of myocardial ischemia.

7. A method according to claim 6, further comprising:

analyzing the physiological measures in the physiological measures set relative to the other physiological measures and determining therefrom an onset, a progression, a regression, and a status quo of diseases other than myocardial ischemia.

8. A method according to claim 6, further comprising:

receiving a set of one or more quality of life measures relating to patient information recorded on a substantially continuous basis or derived therefrom;

storing the quality of life measures set into the patient care record for the individual patient into the database; and

analyzing the quality of life measures in the physiological measures set relative to the other quality of life measures and determining therefrom an onset, a progression, a regression, and a status quo of myocardial ischemia.

9. A method according to claim 6, further comprising:

receiving a set of one or more baseline physiological measures relating to patient information recorded during an initial time period or derived therefrom;

storing the baseline physiological measures set into the patient care record for the individual patient into the database; and

analyzing the physiological measures in the physiological measures set relative to the baseline physiological measures and determining therefrom an onset, a progression, a regression, and a status quo of myocardial ischemia.

10. A method according to claim 6, further comprising:

retrieving the other physiological measures from measures sets for at least one of an individual patient, a peer group, and a overall patient population.

11. A computer-readable storage medium for a device holding code for performing the method according to claim 6.