SYSTEM AND METHOD FOR IDENTIFYING A PROSPECTIVE CLINICAL THERAPY FOR A PROSPECTIVE PATIENT HAVING A MEDICAL DEVICE

• US 20120109675A1
• Filed: 10/29/2010
• Published: 05/03/2012
• Est. Priority Date: 10/29/2010
• Status: Active Grant

• Current Assignee: Medtronic Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Incorporated (Medtronic Plc)
• Inventors: Ziegler, Paul D., Sarkar, Shantanu, Redemske, Jodi L.
• Granted Patent: US 8,688,469 B2
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/60 for the operation of medical equipment or devices

Abstract

System and method for identifying a prospective clinical therapy for a prospective patient. The patient has a medical device, performed with a medical apparatus. The system has a historical database and an analyzer. The historical database incorporates information relating to a multiplicity of patients, each of the multiplicity of patients having a medical device and each of the multiplicity of patients having undergone a clinical therapy, the information including, for each of the multiplicity of patients, device characteristics of the medical device and an assessment of efficacy of clinical therapy. The analyzer correlates device characteristics of the prospective patient with the device characteristics and the assessment of efficacy of clinical therapy of the multiplicity of patients using the historical database to identify a prospective clinical therapy for the prospective patient associated with the device characteristics in the historical database having a relatively greater efficacy than the clinical therapy.

Claims

1. A system for identifying a prospective clinical therapy for a prospective patient having a medical device, performed with a medical apparatus, comprising:

a historical database incorporating information relating to a multiplicity of patients, each of said multiplicity of patients having a medical device and each of said multiplicity of patients having undergone a clinical therapy, said information comprising, for each of said multiplicity of patients, device characteristics of said medical device and an assessment of efficacy of clinical therapy; and

an analyzer for correlating device characteristics of said prospective patient with said device characteristics and said assessment of efficacy of clinical therapy of said multiplicity of patients using said historical database to identify a prospective clinical therapy for said prospective patient associated with said device characteristics in said historical database having a relatively greater efficacy than said clinical therapy.

2. The system as in claim 1 wherein said historical database incorporates information relating to patient characteristics of each of said multiplicity of patients and wherein said analyzer:

correlates device characteristics of said prospective patient with said device characteristics, said patient characteristics and said assessment of efficacy of clinical therapy of said multiplicity of patients; and

identifies, using said historical database, a prospective clinical therapy for said prospective patient associated with said device characteristics in said historical database having a relatively greater efficacy.

3. The system as in claim 2 wherein each of said multiplicity of patients have undergone at least one of a plurality of clinical therapies, wherein said analyzer identifies a prospective clinical therapy for said prospective patient associated with said device characteristics and said patient characteristics having a relatively greater efficacy than at least one of said plurality of clinical therapies.

4. The system as in claim 3 further comprising an output configured to provide said prospective clinical therapy to a user.

5. The system as in claim 3 wherein said device characteristics comprise at least one of atrial tachycardia burden, atrial fibrillation burden, atrial tachycardia episode duration, atrial fibrillation episode duration, ventricular rate during at least one of atrial tachycardia and atrial arrhythmia, patient activity, heart rate, heart rate variability, defibrillation shocks, ventricular tachycardia, ventricular fibrillation, attempts at ventricular antitachycardia pacing, success at ventricular antitachycardia pacing, attempts at atrial antitachycardia pacing, success at atrial antitachycardia pacing, thoracic impedance, respiration, pressure, heart sounds, electrocardiogram timing, electrocardiogram morphology, proportion of atrial pacing, proportion of ventricular pacing, bradycardia episodes, asystole episodes, premature atrial contractions, premature ventricular contractions, patient inputs indicative of symptomatic episodes and patient-initiated shocks.

6. The system as in claim 3 wherein said patient characteristics comprise at least one of age, gender, body mass index, weight, blood pressure, prior hospitalizations, family history of disease, symptom status, New York Heart Association classification, medications being taken, prior cardiovascular surgeries/procedures, left ventricular ejection fraction, left atrial diameter, cardiac output, left ventricular chamber dimensions, values indicative of quality of life, functional capacity measure, CHADS2 score, congestive heart failure, diabetes, hypertension, prior stroke or transient ischemic attack, coronary artery disease, atrial tachyarrhythmia, ventricular tachyarrhythmia, bradycardia, valvular disease and myocardial infarction.

7. The system as in claim 3 wherein said correlating step is accomplished utilizing statistical analysis.

8. The system as in claim 7 wherein said statistical analysis comprises Bayesian methods.

9. The system as in claim 7 wherein said statistical analysis comprises self-organizing maps.

10. A method of identifying a prospective clinical therapy for a prospective patient having a medical device, performed with a medical apparatus, comprising the steps of:

obtaining, with said medical apparatus, device characteristics from said medical device of said prospective patient;

accessing, with said medical apparatus, a historical database incorporating information relating to a multiplicity of patients, each of said multiplicity of patients having received a medical device and each of said multiplicity of patients having undergone a clinical therapy, said information comprising, for each of said multiplicity of patients, device characteristics of said medical device and an assessment of an efficacy of said clinical therapy; and

correlating, with said medical apparatus, said device characteristics of said prospective patient with said device characteristics and said assessment of efficacy of clinical therapy of said multiplicity of patients; and

identifying, using said historical database, a prospective clinical therapy for said prospective patient associated with said device characteristics in said historical database based, at least in part, on said correlation, of said prospective clinical therapy having a relatively greater efficacy than said clinical therapy.

11. The method as in claim 10:

further comprising the step of obtaining, with said medical apparatus, patient characteristics from said prospective patient;

wherein said correlating step further comprises correlating said patient characteristics of said prospective patient with said device characteristics, said patient characteristics and said assessment of efficacy of clinical therapy of said multiplicity of patients; and

wherein said identifying step further comprises identifying, using said historical database, said prospective clinical therapy for said prospective patient associated with said device characteristics and said patient characteristics in said historical database based, at least in part, on said correlation, of said prospective clinical therapy having a relatively greater efficacy than said clinical therapy.

12. The method as in claim 11:

wherein each of said multiplicity of patients have undergone at least one of a plurality of clinical therapies;

wherein said correlating step comprises correlating said patient characteristics of said prospective patient with said device characteristics, said patient characteristics and said assessment of efficacy of at least one of said plurality of clinical therapies of said multiplicity of patients; and

wherein said identifying step comprises identifying, using said historical database, said prospective clinical therapy for said prospective patient associated with said device characteristics and said patient characteristics in said historical database based, at least in part, on said correlation, of said prospective clinical therapy having a relatively greater efficacy than at least one of said plurality of clinical therapies.

13. The method as in claim 12 further comprising the step of creating said historical database incorporating information relating to a multiplicity of patients, each of said multiplicity of patients having received a medical device and each of said multiplicity of patients having undergone at least one of a plurality of clinical therapies, said information comprising, for each of said multiplicity of patients, device characteristics of said medical device, patient characteristics and an assessment of an efficacy of at least one of said plurality of clinical therapies.

14. The method as in claim 12 further comprising the step of recommending, with said medical apparatus, to a physician said prospective clinical therapy.

15. The method as in claim 12 wherein said device characteristics comprise at least one of atrial tachycardia burden, atrial fibrillation burden, atrial tachycardia episode duration, atrial fibrillation episode duration, ventricular rate during at least one of atrial tachycardia and atrial arrhythmia, patient activity, heart rate, heart rate variability, defibrillation shocks, ventricular tachycardia, ventricular fibrillation, attempts at ventricular antitachycardia pacing, success at ventricular antitachycardia pacing, attempts at atrial antitachycardia pacing, success at atrial antitachycardia pacing, thoracic impedance, respiration, pressure, heart sounds, electrocardiogram timing, electrocardiogram morphology, proportion of atrial pacing, proportion of ventricular pacing, bradycardia episodes, asystole episodes, premature atrial contractions, premature ventricular contractions, patient inputs indicative of symptomatic episodes and patient-initiated shocks.

16. The method as in claim 12 wherein said patient characteristics comprise at least one of age, gender, body mass index, weight, blood pressure, prior hospitalizations, family history of disease, symptom status, New York Heart Association classification, medications being taken, prior cardiovascular surgeries/procedures, left ventricular ejection fraction, left atrial diameter, cardiac output, left ventricular chamber dimensions, values indicative of quality of life, functional capacity measure, CHADS2 score, congestive heart failure, diabetes, hypertension, prior stroke or transient ischemic attack, coronary artery disease, atrial tachyarrhythmia, ventricular tachyarrhythmia, bradycardia, valvular disease and myocardial infarction.

17. The method as in claim 12 wherein said correlating step is accomplished utilizing a statistical analysis.

18. The method as in claim 17 wherein said statistical analysis comprises Bayesian methods.

19. The method as in claim 17 wherein said statistical analysis comprises self-organizing maps.