Method and system for use in treating a patient with any...

Surgery – Miscellaneous – Methods

Reexamination Certificate

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C600S300000

Reexamination Certificate

active

06267116

ABSTRACT:

A portion of the disclosure of this patent document contains material which is the subject of copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent disclosure as it appears in the public patent files of the United States Patent and Trademark Office, but otherwise reserves all other rights in the copyrighted material.
FIELD OF THE INVENTION
The present invention relates to a method and system for use in treating a patient with any drug to optimize drug therapy and to prevent an adverse drug response. The present invention can utilize either drug levels or other surrogate markers to determine the effectiveness of the dosing regimen and, if necessary, to suggest a new more optimal drug dose.
BACKGROUND OF THE INVENTION
When a patient begins taking any medication for a length of time, a titration of the amount of drug taken by the patient is necessary in order to achieve the optimal benefit of the drug and at the same time to prevent any undesirable side effects that taking too much of the drug could produce. Thus, there is a continuous balance between taking enough drug in order to gain the benefits from that drug and at the same time not taking so much drug as to illicit a toxic event.
There is large inter-individual variability in the patient pharmacokinetics of drugs. What may be an appropriate drug dose for one individual, may be too much or too little for another. Prior to this invention a physician was required to estimate the correct drug dosage for a patient and then to experiment with that dosage, usually by trial and error, until the correct dosage was achieved. Likewise, the FDA labeling of a drug suggests dosages based on epidemiological studies and again does not account for inter-individual variability. Non-linear least squares modeling methods involve the use of large amounts of data relating to a general population in order to calculate a best fit. Much like linear regression models, this method cannot take into account the variability between people with the same population characteristics.
Bayesian analysis is another method used to relate drug dose to efficacy. This method employs large-scale population parameters to stratify a population in order to better characterize the individuals. This method does not take into account the changes that can occur within a person over time, and as a result cannot reliably estimate dosages.
Pharmacokinetic compartment modeling has had success with some drugs, but because the models are static and cannot adapt themselves to changes within a population or a patient, they are once again undesirable for dynamically determining drug dosages.
Expert systems have been developed using similar technology to predict drug dosages for immunosuppressant drugs (see, e.g., U.S. Pat. Nos. 5,365,948, 5,542,436 and 5,694,950). These algorithms, however, are not generic and only use immunosuppressant blood levels. Each algorithm is specific to an individual immunosuppressant drug. As it stands, these inventions cannot be applied to other drugs and do not have a non-linear feedback loop mechanism.
SUMMARY OF THE INVENTION
According to the present invention, patient dosing occurs through a cyclic series of events, depicted in flow chart form in FIG.
1
. After an initial examination, an initial dose of a drug (therapeutic agent) is prescribed and administered by a physician for a patient. The initial dose is based on the FDA recommended dosage found on the drug label. The drug dose is further refined upon repeated dosing by the physician based on the patient's response to the drug. Too much drug could cause the patient to experience toxic drug effects, and the drug dose would need to be reduced. Too little drug could cause the patient not to receive the benefit the drug therapy could offer, and the dosage would need to be increased.
The preferred embodiment of the invention requires that a physician determine the percentage of response by the patient to the drug based on the surrogate markers for that drug. A relationship is then employed which uses the input parameters described above to determine the next dose for the patient. This invention has two preferred embodiments; one which uses actual numerical surrogate markers to calculate a dose, and another embodiment that uses percentages as the numerical input for the surrogate markers.


REFERENCES:
patent: 5365948 (1994-11-01), McMichael
patent: 5542436 (1996-08-01), McMichael
patent: 5694950 (1997-12-01), McMichael

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