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
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[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...
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