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Construction method of model for predicting kidney transplantation drug dose by using endogenous substances

A construction method and in-app technology, applied in the field of drug prediction, can solve problems such as difficult operation and implementation, and achieve the effects of improving accuracy, reducing overfitting risk, and avoiding adverse drug reactions

Active Publication Date: 2022-05-31
THE FIRST AFFILIATED HOSPITAL ZHEJIANG UNIV COLLEGE OF MEDICINE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, monitoring the trough concentration requires strictly timing blood samples, which is difficult to operate and realize in a busy clinical working environment

Method used

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  • Construction method of model for predicting kidney transplantation drug dose by using endogenous substances
  • Construction method of model for predicting kidney transplantation drug dose by using endogenous substances
  • Construction method of model for predicting kidney transplantation drug dose by using endogenous substances

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Embodiment

[0051] Embodiment: In this embodiment, a method for constructing a model of using endogenous substances to predict drug doses for kidney transplantation, first collects blood samples collected after the individual uses immunosuppressants, and then according to the metabolic characteristics, clinical characteristics and usage of the blood samples Correlation of effects Screen out metabolic and clinical features with strong correlation, and combine the two to build a prediction model.

[0052] Specifically, the method of this embodiment first performs step S1, collects the sample to be tested, and precipitates the protein in the sample to be tested; the sample to be tested is a blood sample collected after an individual uses an immunosuppressant. In this embodiment, the immunosuppressant may specifically be tacrolimus.

[0053] S2. Divide the effect of individual immunosuppressants into high response group, normal group and low response group, and the effect is judged according ...

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Abstract

The invention relates to a construction method of a model for predicting the dose of a kidney transplantation drug by using an endogenous substance, and the method comprises the following steps: collecting a blood sample and a use effect of an individual after using an immunosuppressive agent; metabolic characteristics and clinical characteristics which are highly related to the use effect are screened according to the combination of the metabolic characteristics and clinical characteristics in the blood sample and the use effect, and then the screened metabolic characteristics and clinical characteristics are used to establish a drug dose prediction model of the immunosuppressor. The model constructed by the method provided by the invention can predict the dosage applicable to individuals, avoids potential adverse drug reaction, and is beneficial to individual drug administration.

Description

technical field [0001] The invention belongs to the technical field of drug prediction, and in particular relates to a method for constructing a model for predicting drug dosage for kidney transplantation using endogenous substances. Background technique [0002] Since their introduction in the 1980s, calcineurin inhibitors (CNIs) have become a commonly used therapeutic intervention in clinical practice, improving the outcome of transplant patients and increasing the survival rate of transplant patients. Currently, calcineurin inhibitors mainly include cyclosporine, tacrolimus, and sirolimus. [0003] However, the therapeutic window of current immunosuppressants is narrow, and the pharmacokinetics and pharmacodynamics of different individuals vary greatly. If the dose is too high, it may lead to excessive immunosuppression and increase the risk of serious infection; if the dose is too low, it may lead to insufficient immunosuppression, thereby increasing the risk of rejec...

Claims

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Application Information

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IPC IPC(8): G16H70/40G16B15/30
CPCG16H70/40G16B15/30
Inventor 楼燕洪东升何晓颖
Owner THE FIRST AFFILIATED HOSPITAL ZHEJIANG UNIV COLLEGE OF MEDICINE
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