Accurate prediction method for tacrolimus dosage of organ transplantation patient

Abstract

The invention discloses an accurate prediction method for a tacrolimus dosage of an organ transplantation patient. The method comprises the following steps: collecting model establishment data including but not limited to patient personal data, tacrolimus clinical medication data based on the organ transplantation patient and gene detection data; carrying out management and statistical analysis on the collected model establishment data; and establishing a tacrolimus dosage model for organ transplantation based on the model establishment data, wherein the model establishment comprises data arrangement, basic structure model, covariable incorporation and model verification. The tacrolimus accurate dosage prediction mathematical model helps clinically and accurately predict the initial medication dosage and dosage adjustment scheme of an individual patient, reduces toxic and side effects caused by too large tacrolimus dosage or the risk of rejection caused by too low tacrolimus dosage of the patient, reduces the occurrence rate of acute rejection reaction and reduces adverse drug events. The prediction method has important significance on accurate application of immunosuppressive drugs for organ transplantation patients; meanwhile, has good economic benefits and social benefits.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method for accurately predicting the dosage of tacrolimus for organ transplant patients. Background technique [0002] Immunosuppression and post-transplant rejection are prone to occur after kidney, liver, heart and other organ transplants. Tacrolimus is the core drug in the anti-rejection treatment of organ transplant patients. Insufficient or excessive anti-rejection can lead to transplant failure or even patient death. Due to the narrow therapeutic window and large individual differences of tacrolimus, blood concentration monitoring is required, and the initial dose setting and dose adjustment of tacrolimus are based on experience, which may easily lead to large fluctuations in concentration and difficulty in reaching the standard. . [0003] The patent application number CN202010579290.5 discloses the use of products for detecting mutations in CYP3A4 rs2242480 and CYP3...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method for accurately predicting the dosage of tacrolimus for organ transplantation patients, so as to solve the problem that the prior art cannot quantitatively investigate the influence of different physiological factors, pathophysiological factors, genetic factors, and drug interactions on the in vivo process of drugs , the problem of quantifying the factors affecting the pharmacokinetic process of a drug

[0008] In order to realize the accurate prediction method of tacrolimus dosage in patients with organ transplantation mentioned above, the existing technology cannot quantitatively investigate the influence of different physiological factors, pathophysiological factors, genetic factors, and drug interactions on the in vivo process of drugs, so that the pharmacokinetics of drugs can be affected. For the quantitative problem of process factors, the present invention provides the following technical solutions:

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