REAL-TIME DETECTION OF VASCULAR CONDITIONS OF A SUBJECT USING ARTERIAL PRESSURE WAVEFORM ANALYSIS

• US 20090270739A1
• Filed: 01/27/2009
• Published: 10/29/2009
• Est. Priority Date: 01/30/2008
• Status: Abandoned Application

• Current Assignee: Edwards Lifesciences Corporation
• Original Assignee: Edwards Lifesciences Corporation
• Inventors: Roteliuk, Luchy, Willybiro, Kathryn, Hatib, Feras, Derderian, Lina
• Application Number:
  US12/360,816
• Publication Number:
  US 20090270739A1
• Time in Patent Office: Days
• US Class Current: 600/485
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

Methods for the detection of vascular conditions such as vasodilation in a subject are described. The methods involve receiving a signal corresponding to an arterial blood pressure and calculating one or more cardiovascular parameters from the arterial blood pressure. The cardiovascular parameters are calculated using factors impacted by vascular conditions such as vasodilation. Factors impacted by these vascular conditions include the area under the systolic portion of the arterial blood pressure signal, the duration of systole, and the ratio of the duration of the systole to the duration of the diastole. By monitoring cardiovascular parameters that are calculated using factors impacted by vascular conditions such as vasodilation for changes indicating the vascular conditions, such vascular conditions can be detected.

Claims

1. A method of detecting a vascular condition in a subject comprising:

receiving a signal corresponding to an arterial blood pressure;

calculating a cardiovascular parameter using the arterial blood pressure signal based on a set of factors including one or more parameters effected by the vascular condition; and

monitoring the cardiovascular parameter to determine if there is a statistically significant change over time,

wherein detection of the statistically significant change in the cardiovascular parameter indicates the vascular condition.

2. The method of claim 1, wherein the one or more parameters effected by the vascular condition are selected from the group consisting of (a) a parameter based on the area under the systolic portion of the arterial blood pressure signal, (b) a parameter based on the duration of systole, and (c) a parameter based on the ratio of the duration of the systole to the duration of the diastole.

3. The method of claim 2, wherein the one or more parameters effected by the vascular condition is a parameter based on the area under the systolic portion of the arterial blood pressure signal.

4. The method of claim 2, wherein the one or more parameters effected by the vascular condition is a parameter based on the duration of systole.

5. The method of claim 2, wherein the one or more parameters effected by the vascular condition is a parameter based on the ratio of the duration of the systole to the duration of the diastole.

6. The method of claim 2, wherein the one or more parameters effected by the vascular condition include (a) a parameter based on the area under the systolic portion of the arterial blood pressure signal, (b) a parameter based on the duration of systole, and (c) a parameter based on the ratio of the duration of the systole to the duration of the diastole.

7. The method of claim 1, further comprising calculating the cardiovascular parameter additionally using one or more of (d) a parameter based on the shape of the beat-to-beat arterial blood pressure signal and at least one statistical moment of the arterial blood pressure signal having an order of one or greater, (e) a parameter corresponding to the heart rate, and (f) a set of anthropometric parameters of the subject.

8. The method of claim 1, wherein the statistically significant change is a change of greater than one standard deviation.

9. The method of claim 1, wherein the cardiovascular parameter is arterial compliance.

10. The method of claim 1, wherein the cardiovascular parameter is arterial elasticity.

11. The method of claim 1, wherein the cardiovascular parameter is peripheral resistance.

12. The method of claim 1, wherein the cardiovascular parameter is arterial tone.

13. The method of claim 1, wherein the cardiovascular parameter is arterial flow.

14. The method of claim 1, wherein the cardiovascular parameter is stroke volume.

15. The method of claim 1, wherein the cardiovascular parameter is cardiac output.

16. The method of claim 1, wherein the vascular condition indicates the occurrence of vasodilation.

17. The method of claim 1, wherein the vascular condition indicates the occurrence of vasoconstriction.

18. The method of claim 1, wherein the vascular condition indicates the occurrence of hyperdynamic cardiovascular conditions.

19. The method of claim 1, wherein the presence of the vascular condition indicates hyperdynamic decoupling of the peripheral arterial pressure from the central aortic pressure.

20. The method of claim 1, wherein the presence of the vascular condition indicates that the peripheral arterial pressure is lower than the central aortic pressure.

21. The method of claim 1, wherein the presence of the vascular condition indicates that the peripheral arterial pressure is not proportional to the central aortic pressure.

22. The method of claim 1, wherein the cardiovascular parameter is calculated with an empirical multivariable statistical model using the following steps:

determining an approximating function relating a set of clinically derived reference measurements to the cardiovascular parameter, the approximating function being a function of at least (a) a parameter based on the area under the systolic portion of the arterial blood pressure signal, (b) a parameter based on the duration of systole, (c) a parameter based on the ratio of the duration of the systole to the duration of the diastole, and a set of clinically determined reference measurements of the cardiovascular parameter representing clinical measurements of the cardiovascular parameter from both subjects not experiencing the vascular condition and subjects experiencing the vascular condition;

determining a set of arterial blood pressure parameters from the arterial blood pressure signal, the set of arterial blood pressure parameters including at least (a) a parameter based on the area under the systolic portion of the arterial blood pressure signal, (b) a parameter based on the duration of systole, and (c) a parameter based on the ratio of the duration of the systole to the duration of the diastole;

estimating the cardiovascular parameter by evaluating the approximating function with the set of arterial blood pressure parameters.

23. The method of claim 22, further comprising determining the approximating function additionally using one or more of (d) a parameter based on the shape of the arterial blood pressure signal and at least one statistical moment of the arterial blood pressure signal having an order of one or greater, (e) a parameter corresponding to the heart rate, and (f) a set of anthropometric parameters of the subject.

24. The method of claim 22, wherein the data derived from subjects experiencing the vascular condition is given more weight in the model than the data derived from subjects not experiencing the vascular condition.

25. The method of claim 1, further comprising alerting a user when the vascular condition is detected.

26. The method of claim 25, wherein the user is alerted by publishing a notice on a graphical user interface.

27. The method of claim 25, wherein a user is alerted by emitting a sound.

28. A method of detecting a vascular condition in a subject comprising:

receiving a signal corresponding to an arterial blood pressure;

calculating a first cardiovascular parameter using the arterial blood pressure signal based on a first set of factors including one or more of (a) a parameter based on the shape of the beat-to-beat arterial blood pressure signal and at least one statistical moment of the arterial blood pressure signal having an order of one or greater, (b) a parameter based on a heart rate of the subject, and (c) a set of anthropomorphic parameters of the subject;

calculating a second cardiovascular parameter using the arterial blood pressure signal based on the first set of factors and one or more parameters effected by the vascular condition; and

calculating a difference factor by subtracting the first cardiovascular parameter from the second cardiovascular parameter,

wherein the difference factor being greater than a predetermined threshold value indicates the vascular condition.

29. The method of claim 28, wherein the one or more parameters effected by the vascular condition are selected from the group consisting of (a) a parameter based on the area under the systolic portion of the arterial blood pressure signal, (b) a parameter based on the duration of systole, and (c) a parameter based on the ratio of the duration of the systole to the duration of the diastole.

30. The method of claim 29, wherein the one or more parameters effected by the vascular condition is a parameter based on the area under the systolic portion of the arterial blood pressure signal.

31. The method of claim 29, wherein the one or more parameters effected by the vascular condition is a parameter based on the duration of systole.

32. The method of claim 29, wherein the one or more parameters effected by the vascular condition is a parameter based on the ratio of the duration of the systole to the duration of the diastole.

33. The method of claim 29, wherein the one or more parameters effected by the vascular condition include (a) a parameter based on the area under the systolic portion of the arterial blood pressure signal, (b) a parameter based on the duration of systole, and (c) a parameter based on the ratio of the duration of the systole to the duration of the diastole.

34. The method of claim 28, wherein the predetermined threshold value is a statistically significant change in the difference factor over time.

35. The method of claim 28, wherein the predetermined threshold value is about 1.5 L/minute or greater.

36. The method of claim 28, wherein the predetermined threshold value is about 1.8 L/minute or greater.

37. The method of claim 28, wherein the predetermined threshold value is about 2 L/minute.

38. The method of claim 28, wherein the predetermined threshold value is about 2.5 L/minute or greater.

39. The method of claim 28, wherein the cardiovascular parameter is arterial compliance.

40. The method of claim 28, wherein the cardiovascular parameter is arterial elasticity.

41. The method of claim 28, wherein the cardiovascular parameter is peripheral resistance.

42. The method of claim 28, wherein the cardiovascular parameter is arterial tone.

43. The method of claim 28, wherein the cardiovascular parameter is arterial flow.

44. The method of claim 28, wherein the cardiovascular parameter is stroke volume.

45. The method of claim 28, wherein the cardiovascular parameter is cardiac output.

46. The method of claim 28, wherein the vascular condition indicates the occurrence of vasodilation.

47. The method of claim 28, wherein the vascular condition indicates the occurrence of vasoconstriction.

48. The method of claim 28, wherein the vascular condition indicates the occurrence of hyperdynamic cardiovascular conditions.

49. The method of claim 28, wherein the vascular condition indicates hyperdynamic decoupling of the peripheral arterial pressure from the central aortic pressure.

50. The method of claim 28, wherein the vascular condition indicates that the peripheral arterial pressure is lower than the central aortic pressure.

51. The method of claim 28, wherein the vascular condition indicates that the peripheral arterial pressure is not proportional to the central aortic pressure.

52. The method of claim 28, wherein the first cardiovascular parameter is calculated with an empirical multivariable statistical model using the following steps:

determining an approximating function relating a set of clinically derived reference measurements to the first cardiovascular parameter, the approximating function being a function of at least (a) a parameter based on the shape of the arterial blood pressure signal including calculating at least one statistical moment of the arterial blood pressure signal having an order of one or higher, (b) a parameter based on the heart rate, and (c) a set of anthropometric parameters of the subject, and the set of clinically determined reference measurements of the first cardiovascular parameter representing clinical measurements of the first cardiovascular parameter from subjects not experiencing the vascular condition;

determining a set of arterial blood pressure parameters from the arterial blood pressure signal, the set of arterial blood pressure parameters including at least the shape of the arterial blood pressure signal and at least one statistical moment of the arterial blood pressure signal having an order of one or greater, and the heart rate;

determining a set of anthropometric parameters of the subject; and

estimating the first cardiovascular parameter by evaluating the approximating function with the set of arterial blood pressure parameters and the set of anthropometric parameters of the subject.

53. The method of claim 28, wherein the second cardiovascular parameter is calculated with an empirical multivariable statistical model using the following steps:

determining an approximating function relating a set of clinically derived reference measurements to the first cardiovascular parameter, the approximating function being a function of at least (a) the parameter or parameters used to calculate the first cardiovascular function, (b) a parameter based on the area under the systolic portion of the arterial blood pressure signal, (c) a parameter based on the duration of systole, and (d) a parameter based on the ratio of the duration of the systole to the duration of the diastole, and the set of clinically determined reference measurements of the second cardiovascular parameter representing clinical measurements of the second cardiovascular parameter from both subjects not experiencing the vascular condition and subjects experiencing the vascular condition;

determining a set of arterial blood pressure parameters from the arterial blood pressure signal, the set of arterial blood pressure parameters including at least (a) the parameter or parameters used to calculate the first cardiovascular function, (b) a parameter based on the area under the systolic portion of the arterial blood pressure signal, (c) a parameter based on the duration of systole, and (d) a parameter based on the ratio of the duration of the systole to the duration of the diastole;

estimating the second cardiovascular parameter by evaluating the approximating function with the set of arterial blood pressure parameters.

54. The method of claim 53, wherein the data derived from subjects experiencing the vascular condition is given more weight in the model than the data derived from subjects not experiencing the vascular condition.

55. The method of claim 28, further comprising alerting a user when the vascular condition is detected.

56. The method of claim 55, wherein the user is alerted by publishing a notice on a graphical user interface.

57. The method of claim 55, wherein a user is alerted by emitting a sound.

58. A method of detecting a vascular condition in a subject comprising:

receiving a signal corresponding to an arterial blood pressure;

calculating a first cardiovascular parameter using the arterial blood pressure signal based on a first set of factors including one or more of (a) a parameter based on the shape of the arterial blood pressure signal and at least one statistical moment of the arterial blood pressure signal having an order of one or greater, (b) a parameter based on a heart rate of the subject, and (c) a set of anthropomorphic parameters of the subject; and

calculating a second cardiovascular parameter using the arterial blood pressure signal based on the first set of factors and one or more parameters effected by the vascular condition;

wherein a ratio of the second cardiovascular parameter to the first cardiovascular parameter greater than a predetermined value indicates the vascular condition.

59. The method of claim 58, wherein the one or more parameters effected by the vascular condition are selected from the group consisting of (a) a parameter based on the area under the systolic portion of the arterial blood pressure signal, (b) a parameter based on the duration of systole, and (c) a parameter based on the ratio of the duration of the systole to the duration of the diastole.

60. The method of claim 59, wherein the one or more parameters effected by the vascular condition is a parameter based on the area under the systolic portion of the arterial blood pressure signal.

61. The method of claim 59, wherein the one or more parameters effected by the vascular condition is a parameter based on the duration of systole.

62. The method of claim 59, wherein the one or more parameters effected by the vascular condition is a parameter based on the ratio of the duration of the systole to the duration of the diastole.

63. The method of claim 59, wherein the one or more parameters effected by the vascular condition include (a) a parameter based on the area under the systolic portion of the arterial blood pressure signal, (b) a parameter based on the duration of systole, and (c) a parameter based on the ratio of the duration of the systole to the duration of the diastole.

64. The method of claim 58, wherein the predetermined value is about 1.2 or greater.

65. The method of claim 58, wherein the predetermined value is about 1.3 or greater.

66. The method of claim 58, wherein the predetermined value is about 1.4 or greater.

67. The method of claim 58, wherein the predetermined value is about 1.5 or greater.

68. The method of claim 58, wherein the cardiovascular parameter is arterial compliance.

69. The method of claim 58, wherein the cardiovascular parameter is arterial elasticity.

70. The method of claim 58, wherein the cardiovascular parameter is peripheral resistance.

71. The method of claim 58, wherein the cardiovascular parameter is arterial tone.

72. The method of claim 58, wherein the cardiovascular parameter is arterial flow.

73. The method of claim 58, wherein the cardiovascular parameter is stroke volume.

74. The method of claim 58, wherein the cardiovascular parameter is cardiac output.

75. The method of claim 58, wherein the vascular condition indicates the occurrence of vasodilation.

76. The method of claim 58, wherein the vascular condition indicates the occurrence of vasoconstriction.

77. The method of claim 58, wherein the vascular condition indicates the occurrence of hyperdynamic cardiovascular conditions.

78. The method of claim 58, wherein the vascular condition indicates hyperdynamic decoupling of the peripheral arterial pressure from the central aortic pressure.

79. The method of claim 58, wherein the vascular condition indicates that the peripheral arterial pressure is lower than the central aortic pressure.

80. The method of claim 58, wherein the vascular condition indicates that the peripheral arterial pressure is not proportional to the central aortic pressure.

81. The method of claim 58, wherein the first cardiovascular parameter is calculated with an empirical multivariable statistical model using the following steps:

determining an approximating function relating a set of clinically derived reference measurements to the first cardiovascular parameter, the approximating function being a function of at least (a) a parameter based on the shape of the arterial blood pressure signal including calculating at least one statistical moment of the arterial blood pressure signal having an order of one or higher, (b) a parameter based on the heart rate, and (c) a set of anthropometric parameters of the subject, and the set of clinically determined reference measurements of the first cardiovascular parameter representing clinical measurements of the first cardiovascular parameter from subjects not experiencing the vascular condition;

determining a set of arterial blood pressure parameters from the arterial blood pressure signal, the set of arterial blood pressure parameters including at least the shape of the arterial blood pressure signal and at least one statistical moment of the arterial blood pressure signal having an order of one or greater, and the heart rate;

determining a set of anthropometric parameters of the subject; and

estimating the first cardiovascular parameter by evaluating the approximating function with the set of arterial blood pressure parameters and the set of anthropometric parameters of the subject.

82. The method of claim 58, wherein the second cardiovascular parameter is calculated with an empirical multivariable statistical model using the following steps:

determining an approximating function relating a set of clinically derived reference measurements to the first cardiovascular parameter, the approximating function being a function of at least (a) the parameter or parameters used to calculate the first cardiovascular function, (b) a parameter based on the area under the systolic portion of the arterial blood pressure signal, (c) a parameter based on the duration of systole, and (d) a parameter based on the ratio of the duration of the systole to the duration of the diastole, and the set of clinically determined reference measurements of the second cardiovascular parameter representing clinical measurements of the second cardiovascular parameter from both subjects not experiencing the vascular condition and subjects experiencing the vascular condition;

determining a set of arterial blood pressure parameters from the arterial blood pressure signal, the set of arterial blood pressure parameters including at least (a) the parameter or parameters used to calculate the first cardiovascular function, (b) a parameter based on the area under the systolic portion of the arterial blood pressure signal, (c) a parameter based on the duration of systole, and (d) a parameter based on the ratio of the duration of the systole to the duration of the diastole;

estimating the second cardiovascular parameter by evaluating the approximating function with the set of arterial blood pressure parameters.

83. The method of claim 82, wherein the data derived from subjects experiencing the vascular condition is given more weight in the model than the data derived from subjects not experiencing the vascular condition.

84. The method of claim 58, further comprising alerting a user when the vascular condition is detected.

85. The method of claim 84, wherein the user is alerted by publishing a notice on a graphical user interface.

86. The method of claim 84, wherein a user is alerted by emitting a sound.