Semi-mechanistic pharmacokinetic–pharmacodynamic modelling of antibiotic drug combinations
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چکیده
منابع مشابه
NLLSS: Predicting Synergistic Drug Combinations Based on Semi-supervised Learning
Fungal infection has become one of the leading causes of hospital-acquired infections with high mortality rates. Furthermore, drug resistance is common for fungus-causing diseases. Synergistic drug combinations could provide an effective strategy to overcome drug resistance. Meanwhile, synergistic drug combinations can increase treatment efficacy and decrease drug dosage to avoid toxicity. Ther...
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Drug combinations have been known to be used either for increasing effcctivity or for decreasing side-efFects. It is only when multiple drugs are prescribed without adequate scientific evidence in their favour then such practices need careful scrutiny. Multiple drug use in psychiatry has recently gained currency and so require thoughtful consideration. The term polypharmacy is generally used to...
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Although the development of drugs of greater potency and efficacy confers on the physician increasing power to treat serious diseases, it also increases the number and seriousness of potential adverse effects and drug interactions which can occur. Most hospital patients receive more than one drug at a time, the average number often being greater than five (Smith, Seidl, and Cluff, 1966). The in...
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When antibiotic combinations are used to provide a broader spectrum of antimicrobial activity or in an attempt to prevent the emergence of resistant organisms, it is rarely necessary or practical to perform tests of drug interactions in vitro. In vitro testing of combinations may be useful when combinations are used in an attempt to attain synergistic interactions. In some cases, screening meth...
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ژورنال
عنوان ژورنال: Clinical Microbiology and Infection
سال: 2018
ISSN: 1198-743X
DOI: 10.1016/j.cmi.2017.11.023