Disease risk evaluation tool and method

• US 20050261558A1
• Filed: 04/15/2005
• Published: 11/24/2005
• Est. Priority Date: 04/15/2004
• Status: Abandoned Application

• Current Assignee: Charles B. Eaton, David K. Ahern
• Original Assignee: Charles B. Eaton, David K. Ahern
• Inventors: Ahern, David K., Eaton, Charles B.
• Application Number:
  US11/106,449
• Publication Number:
  US 20050261558A1
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: A61B 5/00 Measuring for diagnostic purposes radiation diagnosis A61B6/00; diagnosis by ultrasonic, sonic or infrasonic waves A61B8/00; Identification of persons
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A disease risk evaluation and education tool, preferably implemented in logic on a computing device such as a Personal Digital Assistant, permits a user to input patient-specific data relevant to evaluating that patient'"'"'s risk for a particular disease, e.g., coronary heart disease. The tool'"'"'s logic calculates the equivalent age of the patient, based on the Framingham data set and on the input data, and presents one or more treatment recommendations.

Claims

1. A disease evaluation tool comprising:

logic configured to accept data representative of a person'"'"'s medical condition;

logic configured to calculate the risk of developing coronary heart disease based on said data and on a Framingham data set.

2. A disease evaluation tool according to claim 1, further comprising:

logic configured to look up the age of a non-diseased person with the same calculated risk.

3. A disease evaluation tool according to claim 2, wherein said logic configured to look up the age of a non-diseased person comprises a look-up table.

4. A disease evaluation tool according to claim 1, further comprising:

logic configured to display recommendations based on the specific calculated risk.

5. A disease evaluation tool according to claim 4, wherein said recommendations comprises recommendations selected from the group consisting of medication recommendations, dietary recommendations, life style recommendations, and combinations thereof.

6. A disease evaluation tool according to claim 1, wherein said data representative of a person'"'"'s medical condition comprises data representative of a condition selected from the group consisting of total cholesterol level, HDL level, LDL level, TG level, age, gender, systolic blood pressure, established coronary heart disease, other clinical atherosclerotic disease, diabetes, cigarette use, prescription for hypertension, family history of coronary heart disease, prescription for lipid lowering medication, non-fasting lipid profile, acute coronary syndrome, physical activity, hs-CRP, homocysteine, Lp(a), and combinations thereof.

7. A disease evaluation tool according to claim 1, wherein said logic configured to calculate the risk of developing coronary heart disease based on said data and on a Framingham data set comprises logic configured to calculate a probability P using the following equations:

α

=11.1122−

(0.0110×

ln(SBP))−

(0.2767×

Smoking)−

(0.7181×

ln(TC/HDL))−

(0.5865×

ECG-LVH)
m_m=α

−

(1.4792×

ln(age))−

(0.1759×

Diabetes)
m_f=α

−

5.8549+(1.8515×

(ln(age/74))²)−

(0.3758×

Diabetes)
μ

=4.4181+m_m/f
σ

_m/f=exp(−

b 0.3155−

0.2784×

m_m/f)
u_m/f=((ln(t)−

μ

)/σ

_m/f
P=1−

exp(−

e^u);

wherein Smoking=1 when the person smokes;

wherein Diabetes=1 when the person has diabetes;

wherein t is the time period for which the probability of CHD is determined; and

wherein the subscript “

m”

is for a male person and the subscript “

f”

is for a female person.

8. A disease evaluation tool according to claim 1, further comprising:

logic configured to display recommendations based only on the person having diabetes, established coronary heart disease, or both.

11. A disease evaluation tool according to claim 2, wherein said means for looking up the age of a non-diseased person comprises a look-up table.

12. A disease evaluation tool according to claim 1, further comprising:

means for displaying recommendations based on the specific calculated risk.

13. A disease evaluation tool according to claim 4, wherein said recommendations comprises recommendations selected from the group consisting of medication recommendations, dietary recommendations, life style recommendations, and combinations thereof.

14. A disease evaluation tool according to claim 1, wherein said data representative of a person'"'"'s medical condition comprises data representative of a condition selected from the group consisting of total cholesterol level, HDL level, LDL level, TG level, age, gender, systolic blood pressure, established coronary heart disease, other clinical atherosclerotic disease, diabetes, cigarette use, prescription for hypertension, family history of coronary heart disease, prescription for lipid lowering medication, non-fasting lipid profile, acute coronary syndrome, and combinations thereof.

15. A disease evaluation tool according to claim 1, wherein said means for calculating the risk of developing coronary heart disease based on said data and on a Framingham data set comprises means for calculating a probability P using the following equations:

α

=11.1122−

(0.9119×

ln(SBP))−

(0.2767×

Smoking)−

(0.7181×

ln(TC/HDL))−

(0.5865×

ECG-LVH)
m_m=α

−

(1.4792×

ln(age))−

(0.1759×

Diabetes)
m_f=α

−

5.8549+(1.8515×

(ln(age/74))²)−

(0.3758×

Diabetes)
μ

=4.4181+m_m/f
σ

_m/f=exp(−

0.3155−

0.2784×

m_m/f)
u_m/f=((ln(t)−

μ

)/σ

_m/f
P=1−

exp(−

e^u);

wherein Smoking=1 when the person smokes;

wherein Diabetes=1 when the person has diabetes;

wherein t is the time period for which the probability of CHD is determined; and

wherein the subscript “

m”

is for a male person and the subscript “

f”

is for a female person.

16. A disease evaluation tool according to claim 1, further comprising:

means for displaying recommendations based only on the person having diabetes, established coronary heart disease, or both.

9. A disease evaluation tool comprising:

means for accepting data representative of a person'"'"'s medical condition;

means for calculating the risk of developing coronary heart disease based on said data and on a Framingham data set.

10. A disease evaluation tool according to claim 9, further comprising:

means for looking up the age of a non-diseased person with the same calculated risk.

17. A method of evaluating the disease state of a person, comprising:

accepting data representative of a person'"'"'s medical condition; and

calculating the risk of developing coronary heart disease based on said data and on a Framingham data set.

18. A method in accordance with claim 17, further comprising:

looking up the age of a non-diseased person with the same calculated risk.

19. A method in accordance with claim 17, wherein said data representative of a person'"'"'s medical condition comprises data representative of a condition selected from the group consisting of total cholesterol level, HDL level, LDL level, TG level, age, gender, systolic blood pressure, established coronary heart disease, other clinical atherosclerotic disease, diabetes, cigarette use, prescription for hypertension, family history of coronary heart disease, prescription for lipid lowering medication, non-fasting lipid profile, acute coronary syndrome, physical activity, hs-CRP, homocysteine, Lp(a), and combinations thereof.

20. A method in accordance with claim 17,

wherein said calculating the risk of developing coronary heart disease based on said data and on a Framingham data set comprises calculating a probability P using the following equations:

α

=11.1122−

(0.9119×

ln(SBP))−

(0.2767×

Smoking) −

(0.7181×

1n(TC/HDL))−

(0.5865×

ECG-LVH)
m_m=α

−

(1.4792×

ln(age))−

(0.1759×

Diabetes)
m_f=α

−

5.8549+(1.8515×

(ln(age/74))²)−

(0.3758×

Diabetes)
μ

=4.4181+m_m/f
σ

_m/f=exp (−

0.3155−

0.2784×

m_m/f)
u_m/f=((ln(t)−

μ

)/σ

_m/f
P=1−

exp(−

e^u);

wherein Smoking=1 when the person smokes;

wherein Diabetes=1 when the person has diabetes;

wherein t is the time period for which the probability of CHD is determined; and

wherein the subscript “

m”

is for a male person and the subscript “

f”

is for a female person.