System and method for managing respiratory insufficiency in conjunction with heart failure assessment
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
A61B-005/08
A61B-005/04
A61B-005/02
출원번호
US-0894302
(2007-08-20)
등록번호
US-8231540
(2012-07-31)
발명자
/ 주소
Bardy, Gust H.
출원인 / 주소
Cardiac Pacemakers, Inc.
대리인 / 주소
Pauly, DeVries Smith & Deffner LLC
인용정보
피인용 횟수 :
52인용 특허 :
141
초록▼
A system and method for evaluating a patient status from sampled physiometry for use in respiratory insufficiency management and heart failure assessment is presented. Physiological measures are stored and include direct measures regularly recorded on a substantially continuous basis by a medical de
A system and method for evaluating a patient status from sampled physiometry for use in respiratory insufficiency management and heart failure assessment is presented. Physiological measures are stored and include direct measures regularly recorded on a substantially continuous basis by a medical device for a patient or measures derived from the direct measures. The physiological measures are sampled, which each relate to a same type of physiometry, and those of the physiological measures, which each relate to a different type of physiometry. A status is determined through analysis of those sampled physiological measures assembled from a plurality of recordation points. The sampled physiological measures are evaluated. Any trends are identified and include one of a status quo and a change, which might affect cardiac performance or respiratory performance. Each such trend is compared to applicable indications of worsening heart failure and respiratory insufficiency to generate a notification of parameter violations.
대표청구항▼
1. A system for managing respiratory insufficiency in conjunction with heart failure assessment, comprising: a data module to assemble physiological measures, which were directly recorded as data on a substantially continuous basis by a medical device for a patient or indirectly derived from the dat
1. A system for managing respiratory insufficiency in conjunction with heart failure assessment, comprising: a data module to assemble physiological measures, which were directly recorded as data on a substantially continuous basis by a medical device for a patient or indirectly derived from the data;a status module to determine a wellness indicator for the patient through sampling and analysis of the physiological measures over a plurality of data assembly points; andan evaluation module to evaluate the physiological measures relative to the wellness indicator, comprising: an analysis module to analyze a patient status trend comprising one of a status quo and a change in at least one of cardiac performance and respiratory performance; anda comparison module to compare the patient status trend to applicable indications of worsening heart failure and respiratory insufficiency, wherein the evaluation module further evaluates a time span over which the patient status trend occurs;an indicator module to define stickiness indicators comprising a temporal bound on change of one or more of the physiological measures, anda revision module to revise patient treatment in a manner corresponding to a rate of the patient status trend over the time span. 2. A system according to claim 1, wherein the patient status relates to at least one of a finding of reduced exercise capacity and respiratory distress. 3. A system according to claim 2, wherein the finding of reduced exercise capacity is selected from the group comprising decreased cardiac output, decreased mixed venous oxygen score, decreased patient activity score and decreased exercise tolerance. 4. A system according to claim 2, wherein the finding of respiratory distress is selected from the group comprising a spike in patient activity score, a spike in pulmonary artery pressure, a spike in right ventricular pressure, a spike in transthoracic impedance, increased respiratory rate, increased minute ventilation, increased temperature, decreased QT interval, decreased arterial oxygen and decreased arterial carbon dioxide. 5. A system according to claim 1, further comprising: a quality of life module to associate quality of life measures chronicled by the patient with the physiological measures. 6. A system according to claim 1, wherein the change in at least one of cardiac performance and respiratory performance is selected from the group comprising an onset, progression, and regression of either a cardiac performance or a respiratory performance parameter. 7. A system according to claim 1, wherein the worsening heart failure indications are selected from the group comprising pulmonary artery pressure, left atrial pressure, dyspnea, orthopnea, pulmonary edema, peripheral edema, and fatigue. 8. A system according to claim 1, further comprising: a measurement module to measure one or more of pulmonary artery pressure, heart rate, heart sounds, intrathoracic impedance, respiration, posture, lung fluid, activity, weight, and physiological response to activity. 9. A system according to claim 1, further comprising: a reprogramming module to reprogram a medical device based on evaluation of the physiological measures. 10. A system according to claim 9, wherein either the worsening heart failure indications or the respiratory insufficiency are factored into the reprogramming. 11. A system according to claim 1, wherein respiration rate is tracked through the medical device, further comprising: a notification module to generate a notification triggered by a parameter assigned to the respiration rate. 12. A system according to claim 11, wherein the parameter comprises one or more of an upper limit parameter applied over a short term and a counter parameter applied over a long term. 13. A system according to claim 1, wherein the medical device comprises one of an implantable medical device and an external medical device. 14. A method for managing respiratory insufficiency in conjunction with heart failure assessment, comprising: assembling physiological measures, which were directly recorded as data on a substantially continuous basis by a medical device for a patient or indirectly derived from the data;determining a patient status indicator for the patient through sampling and analysis of the physiological measures over a plurality of data assembly points; andevaluating the physiological measures relative to the patient status indicator for determining a patient status trend comprising one of a status quo and a change in at least one of cardiac performance and respiratory performance and comparing the patient status trend to applicable indications of worsening heart failure and respiratory insufficiency;defining stickiness indicators comprising a temporal bound on change of one or more of the physiological measures;evaluating a time span of the patient status change; andrevising patient treatment in a manner corresponding to a rate of the patient status trend over the time span. 15. A method according to claim 14, wherein the patient status chance relates to at least one of a finding of reduced exercise capacity and respiratory distress. 16. A method according to claim 15, wherein the finding of reduced exercise capacity is selected from the group comprising decreased cardiac output, decreased mixed venous oxygen score, decreased patient activity score and decreased exercise tolerance. 17. A method according to claim 15, wherein the finding of respiratory distress is selected from the group comprising a spike in patient activity score, a spike in pulmonary artery pressure, a spike in right ventricular pressure, a spike in transthoracic impedance, increased respiratory rate, increased minute ventilation, increased temperature, decreased QT interval, decreased arterial oxygen and decreased arterial carbon dioxide. 18. A method according to claim 14, further comprising: associating quality of life measures chronicled by the patient with the physiological measures. 19. A method according to claim 14, wherein the patient status trend in at least one of cardiac performance and respiratory performance is selected from the group comprising an onset, progression, and regression of either a cardiac performance or a respiratory performance parameter. 20. A method according to claim 14, wherein the worsening heart failure indications are selected from the group comprising pulmonary artery pressure, left atrial pressure, dyspnea, orthopnea, pulmonary edema, peripheral edema, and fatigue. 21. A method according to claim 14, further comprising: measuring one or more of pulmonary artery pressure, heart rate, heart sounds, intrathoracic impedance, respiration, posture, lung fluid, activity, weight, and physiological response to activity. 22. A method according to claim 14, further comprising: reprogramming a medical device based on evaluation of the physiological measures. 23. A method according to claim 22, further comprising: factoring either the worsening heart failure indications or the respiratory insufficiency into the reprogramming. 24. A method according to claim 14, further comprising: tracking respiration rate through the medical device; andgenerating a notification triggered by a parameter assigned to the respiration rate. 25. A method according to claim 24, wherein the parameter comprises one or more of an upper limit parameter applied over a short term and a counter parameter applied over a long term. 26. A method according to claim 14, wherein the medical device comprises one of an implantable medical device and an external medical device. 27. A system for evaluating a patient status from sampled physiometry for use in respiratory insufficiency management and heart failure assessment, comprising: a storage module to store physiological measures comprising at least one of direct measures regularly recorded on a substantially continuous basis by a medical device for a patient and measures derived from the direct measures;a sampling module to sample at least one of those of the physiological measures, which each relate to a same type of physiometry, and those of the physiological measures, which each relate to a different type of physiometry;a status module to determine a wellness indicator for the patient through analysis of those sampled physiological measures assembled from a plurality of recordation points; andan evaluation module to evaluate the sampled physiological measures, comprising:an analysis module to identify a patient status trend comprising one of a status quo and a change, which affects one or more of cardiac performance and respiratory performance of the patient, wherein the evaluation module further evaluates a time span over which the patient status trend occurs;a comparison module to compare the patient status to applicable indications of worsening heart failure and respiratory insufficiency to generate a notification of parameter violations;an indicator module to define stickiness indicators comprising a temporal bound on change of one or more of the physiological measures, anda revision module to revise patient treatment in a manner corresponding to a rate of the patient status trend over the time span. 28. A system according to claim 27, further comprising: a reprogramming module to reprogram a medical device based on extended evaluation of the direct measures and the derived measures. 29. A system according to claim 27, further comprising: a tracking module to track respiration rate of the patient on a regular basis through the medical device; anda notification module to generate a notification triggered by one or more of an upper limit parameter applied over a short term and a counter parameter applied over a long term. 30. A method for evaluating a patient status from sampled physiometry for use in respiratory insufficiency management and heart failure assessment, comprising: storing physiological measures comprising at least one of direct measures regularly recorded on a substantially continuous basis by a medical device for a patient and measures derived from the direct measures;sampling at least one of those of the physiological measures, which each relate to a same type of physiometry, and those of the physiological measures, which each relate to a different type of physiometry;determining a wellness indicator for the patient through analysis of those sampled physiological measures assembled from a plurality of recordation points; and evaluating the sampled physiological measures, comprising:identifying a patient status trend comprising one of a status quo and a change, which affects one or more of cardiac performance and respiratory performance of the patient; andcomparing the patient status to applicable indications of worsening heart failure and respiratory insufficiency to generate a notification of parameter violations;defining stickiness indicators comprising a temporal bound on change of one or more of the physiological measures;evaluating a time span of the patient status change; andrevising patient treatment in a manner corresponding to a rate of the change over the time span. 31. A method according to claim 30, further comprising: reprogramming a medical device based on extended evaluation of the direct measures and the derived measures. 32. A method according to claim 30, further comprising: tracking respiration rate of the patient on a regular basis through the medical device; andgenerating a notification triggered by one or more of an upper limit parameter applied over a short term and a counter parameter applied over a long term.
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (141)
Funke Hermann D. (Bonn DEX), Acoustic body bus medical device communication system.
Reinhold ; Jr. Herbert E. (Rockville MD) Auerbach Albert A. (New York NY), Ambulatory monitoring system with real time analysis and telephone transmission.
Greenhut Saul E. (Aurora CO) Murphy Anthony (Annandale AUX), Apparatus and method for detection of atrial fibrillation by ventricular stability and ventricular pacing.
Cosentino Louis C. ; Duea Michael John ; Duea Duane Robert ; Dorfe Steven George ; Nubson Richard C. ; Cosentino Judith A., Apparatus and method for monitoring and communicating wellness parameters of ambulatory patients.
Abrams Philip S. (McLean VA) Behar Al (Reston VA) Behar Orna (Reston VA) Brenneman Scott A. (Falls Church VA) Frederiksen Lee W. (McLean VA) Ide Nicholas C. (College Park MD) Jerome Albert (Herndon V, Apparatus to control diet and weight using human behavior modification techniques.
Gust H. Bardy, Automated collection and analysis patient care system and method for diagnosing and monitoring respiratory insufficiency and outcomes thereof.
Gust H. Bardy, Automated collection and analysis patient care system and method for ordering and prioritizing multiple health disorders to identify an index disorder.
Salo Rodney W. (Fridley MN) Spinelli Julio C. (Shoreview MN) Tockman Bruce A. (Minneapolis MN), Cardiac stimulating apparatus and method for heart failure therapy.
Dempsey Michael K. (Acton MA) Kotfila Mark S. (Chelmsford MA) Snyder Robert J. (Westford MA), Flexible patient monitoring system featuring a multiport transmitter.
Braun Jeffrey C. ; Jacobus Charles J. ; Booth Scott ; Suarez Michael ; Smith Derek ; Hartnagle Jeff ; Leprell Glenn, General-purpose medical instrumentation.
Todd D. Alleckson ; Energy Cruse, II ; Karyn Grant ; Robert C. Leichner ; Gaurang C. Mehta ; James M. Rueter ; Thomas A. Shoup ; Alexander L. Tudor ; Ronald T. Yamada, Home hub for reporting patient health parameters.
Combs William J. ; Condie Catherine R. ; Martin Roy ; Warkentin Dwight H. ; Wahlstrandl John D., Impedance monitor for discerning edema through evaluation of respiratory rate.
Nappholz Tibor A. (Englewood CO) Hursta William N. (Littleton CO) Dawson Albert K. (Denver CO) Steinhaus Bruce M. (Parker CO), Implantable ambulatory electrocardiogram monitor.
Larson ; Jr. Carl O. ; Smith James S. ; Chapman John H. ; Slimon Scot A. ; Trahan John D. ; Brozek Robert J. ; Franco Alberto ; McGarvey John J. ; Rosen Marvin E. ; Pasque Michael K., Implantable device monitoring arrangement and method.
Obel Israel W. P. (Johannesburg ZAX) Bourgeois Ivan (Verviers BEX), Implantable electrical nerve stimulator/pacemaker with ischemia for decreasing cardiac workload.
Chiang Chih-Ming J. (Highlands Ranch CO) Bernstein Alan D. (Montvale NJ) Parsonnet Victor (Millburn NJ) Nappholz Tibor (Englewood CO), Interactive probability based expert system for diagnosis of pacemaker related cardiac problems.
Causey ; III James D. (Simi Valley CA) Schloss Harold C. (Los Angeles CA) Snell Jeffery D. (Northridge CA), Interactive programming and diagnostic system for use with implantable pacemaker.
Whayne James G. ; Panescu Dorin ; McGee David ; Dupree Daniel A. ; Swanson David K. ; Nguyen Tuan, Interface for performing a diagnostic or therapeutic procedure on heart tissue with an electrode structure.
David L. Thompson ; Steven D. Goedeke, Medical management system integrated programming apparatus for communication with an implantable medical device.
Louis C. Cosentino ; Michael John Duea ; Duane Robert Duea ; Steven George Dorfe ; Daniel L. Cosentino, Medical wellness parameters management system, apparatus and method.
Stutman Peter S. (Sudbury MA) Miller J. Mark (Belmont MA), Method and apparatus for alerting patients and medical personnel of emergency medical situations.
Joo Tae H. ; Hampton David R. ; Schmitt Paul W. ; Medema Douglas K. ; Niskanen Robert A., Method and apparatus for detecting a condition associated with acute cardiac ischemia.
Finkelstein Stanley M. (St. Louis Park MN) Cohn Jay N. (Minneapolis MN), Method and apparatus for monitoring and diagnosing hypertension and congestive heart failure.
Brockway,Marina; Hopper,Donald; Carlson,Gerrard M.; Kadhiresan,Veerichetty; Beck,Kenneth, Method and apparatus for monitoring heart failure patients with cardiopulmonary comorbidities.
Marshall Bryan E. (Wynnewood PA) Marshall Carol (Wynnewood PA) Hanson C. William (Radnor PA) Frasch Fred (Glenside PA) Medsker Carl (Mt. Laurel NJ), Method and apparatus for unifying the ventilation/perfusion and pressure/flow models.
Seare Jerry G. (Salt Lake City UT) Smith-Wilson Patricia A. (North Salt Lake UT) VanWagoner Kurt (Layton UT) Mattey Jean A. (Midvale UT) Snyder Eileen K. (Sandy UT) Wahlstrom Candace C. (Salt Lake Ci, Method and system for generating statistically-based medical provider utilization profiles.
Snell Jeffery D. (Northridge CA) Schloss Harold C. (Los Angeles CA) Mann Brian M. (Beverly Hills CA) Poore John W. (South Pasadena CA) Medlin Roy B. (West Hills CA), Method and system for recording, reporting, and displaying the distribution of pacing events over time and for using sam.
Klein George J.,CAX ; Warkentin Dwight H. ; Riff Kenneth M. ; Lee Brian B. ; Carney James K. ; Turi Gregg ; Varrichio Anthony J., Minimally invasive implantable device for monitoring physiologic events.
Snyder Leon T. (Boca Raton FL) Scarfone Frank A. (Boca Raton FL) Reuss James L. (Boca Raton FL) Campen George V. (Fort Lauderdale FL) Yates George H. (Boca Raton FL), Multi-channel ventilation monitor and method.
Wright Gregory John ; Hochberg Philip Scott ; Bellusci Darcy B. ; Brinster Eric Gregory ; Brinton Mark Willard ; Folkerts Sue R. ; Foster Brian Timothy ; King Anthony Edward ; Maloney Kevin Patrick ;, Open architecture cardiology information system.
Harpal S. Kumar GB; Paul Johnson GB; Michael D. Llewellyn GB; William J. Mullarkey GB; William New, Jr. ; Laurence J. Nicolson GB; William G. O'Brien GB; John D. Place GB; Peter M. Relph GB, Portable remote patient telemonitoring system.
Mann Brian M. ; Endaya Melinda ; Levine Paul A., Programmer system and associated methods for rapidly evaluating and programming an implanted cardiac device.
Langen Pauline A. (Simsbury CT) Katz Jeffrey S. (West Hartford CT) Dempsey Gayle (Needham MA) Pompano James (East Haven CT), Remote monitoring of high-risk patients using artificial intelligence.
Kremer Mark ; Tran Quoc Tai ; Depledge Michael ; Mukhopadhyay Santanu ; Keese William M. ; Arbab-Dehkordi Behrouz, System and apparatus for storage retrieval and analysis of relational and non-relational data.
Surwit Richard S. ; Allen ; III Lyle M. ; Cummings Sandra E., Systems, methods and computer program products for monitoring, diagnosing and treating medical conditions of remotely located patients.
Duffin Edwin G. ; Thompson David L. ; Goedeke Steven D. ; Haubrich Gregory J., World wide patient location and data telemetry system for implantable medical devices.
Bardy, Gust H.; Bishay, Jon Mikalson, Computer-implemented system and method for evaluating ambulatory electrocardiographic monitoring of cardiac rhythm disorders.
Bardy, Gust H.; Felix, Jason; Bishay, Jon Mikalson, Computer-implemented system and method for providing a personal mobile device-triggered medical intervention.
Felix, Jason; Dreisbach, Ezra M.; Bishay, Jon Mikalson; Williamson, Corey Bailey; Bardy, Gust H., Computer-implemented system for secure physiological data collection and processing.
Bardy, Gust H.; Bishay, Jon Mikalson, Health monitoring apparatus with wireless capabilities for initiating a patient treatment with the aid of a digital computer.
Bardy, Gust H.; Felix, Jason; Bishay, Jon Mikalson; Dreisbach, Ezra M., Method for providing dynamic gain over electrocardiographic data with the aid of a digital computer.
Bardy, Gust H.; Dreisbach, Ezra M., System and method for ECG data classification for use in facilitating diagnosis of cardiac rhythm disorders with the aid of a digital computer.
Bardy, Gust H.; Felix, Jason; Bishay, Jon Mikalson; Dreisbach, Ezra M., System and method for electrocardiographic data signal gain determination with the aid of a digital computer.
Felix, Jason; Dreisbach, Ezra M.; Bishay, Jon Mikalson; Williamson, Corey Bailey; Bardy, Gust H., System and method for physiological data processing and delivery.
Bardy, Gust H.; Felix, Jason; Bishay, Jon Mikalson; Dreisbach, Ezra M., System and method for providing dynamic gain over non-noise electrocardiographic data with the aid of a digital computer.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.