A method for constructing a dose prediction model of anti-infective drugs for kidney transplantation

A construction method and dose prediction technology, applied in drug reference, chemical machine learning, molecular design, etc., can solve the problems of pharmacokinetics and unclear models in people without kidney transplantation, so as to reduce the risk of adverse reactions and achieve accurate drug treatment , the effect of improving the effectiveness

Active Publication Date: 2021-12-03
ZHEJIANG UNIV
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Several models of daptomycin have been published, mainly in critically ill patients receiving continuous renal replacement therapy and patients with hematological malignancies, but no pharmacokinetic (PPK) study in the renal transplant population has been performed so far
It is unclear whether the published model can be extrapolated to kidney transplant patients

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method for constructing a dose prediction model of anti-infective drugs for kidney transplantation
  • A method for constructing a dose prediction model of anti-infective drugs for kidney transplantation
  • A method for constructing a dose prediction model of anti-infective drugs for kidney transplantation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] Example 1 Take daptomycin as an example to illustrate the dose prediction model of anti-infective drugs for kidney transplantation

[0061] Previous studies have found that the pharmacokinetics of daptomycin are characterized by low fat solubility and high plasma protein binding. It is mainly cleared through the kidneys (52%), and the drug is excreted in the urine in its original form. The bactericidal effect of daptomycin is dose-dependent, and its pharmacodynamics is most closely related to the maximum plasma concentration (C max ) to the minimum inhibitory concentration MIC ratio, and the plasma concentration-time curve (AUC 0-24h ) ratio of the area under the MIC. For the treatment of complex skin and soft tissue infections, blood infections, and endocarditis, the FDA recommended dose is 4-6mg / kg / 24h, but if the creatinine clearance rate is less than 30mL / min, the recommended dose is 4-6mg / kg / 48h, but the pharmacokinetic characteristics of different patients vary...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a method for constructing a dose prediction model of anti-infective drugs for kidney transplantation. Through the analysis of blood drug concentration, the population pharmacokinetic model of anti-infective drugs was established by using nonlinear mixed effect model, two-compartment model and mixed residual model, and the corresponding model pharmacokinetic parameters were calculated; based on bootstrap method, visual prediction test and The normalized prediction distribution error is used to carry out relevant hypothesis testing and estimation on the obtained model pharmacokinetic parameters, and complete the steps of stability and prediction ability evaluation. The pharmacokinetic model of kidney transplant patients established in the present invention can accurately judge the rationality of the medication regimen information, in order to provide a reference for the optimal dose in the process of preventing and treating infection, so as to reduce the risk of adverse reactions and improve the curative effect. Ultimately realize the individualized administration of anti-infective drugs for kidney transplant patients.

Description

technical field [0001] The invention belongs to the technical field of drug information. More specifically, it relates to a method for constructing a dose prediction model of an anti-infective drug for kidney transplantation, which is a dose prediction model for an individualized dosage regimen of an anti-infective drug for kidney transplantation. Background technique [0002] The current incidence of chronic kidney disease in China is 10.8%, and its prevention and treatment has become a severe public health problem facing the world. Kidney transplantation is a means of renal replacement therapy. Kidney transplantation can significantly improve the living standards of patients with end-stage renal disease. Currently, there are two main problems faced by patients after kidney transplantation: rejection and infection. Anti-infective drugs commonly used in kidney transplant patients include vancomycin and daptomycin. The widespread use of vancomycin has led to the emergence ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G16H70/40G16C20/50G16C20/70
CPCG16H70/40G16C20/50G16C20/70
Inventor 楼燕洪东升何玲娟杨希
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap