• The Korean Journal of Applied Statistics
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• v.33 no.2
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• pp.203-213
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• 2020

The self-controlled case series (SCCS) study measures the relative risk of exposure to exposure period by setting the non-exposure period of the patient as the control period without a separate control group. This method minimizes the bias that occurs when selecting a control group and is often used to measure the risk of adverse events after taking a drug. This study used SCCS to examine the increased risk of side effects when two or more drugs are used in combination. A conditional Poisson model is assumed and analyzed for drug interaction between the narcotic analgesic, tramadol and multi-frequency combination drugs. Bayesian inference is used to solve the overfitting problem of MLE and the normal or Laplace prior distributions are used to measure the sensitivity of the prior distribution.

• Korean Journal of Biological Psychiatry
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• v.7 no.1
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• pp.3-13
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• 2000

There is nothing that is harmless ; the dose alone decides that something is no poison(Paracelsus, 1493-1541). So, in a point of view to maximize the therapeutic efficacy of drug therapy in a way that minimize the drug toxicity, the knowledges of the drug-ineractions as well as the pharmacokinetic and pharmacodynamic principles of every therapeutic drug used in the medical clinic cannot be emphasized too much. Many drug interactions can be predicted if the pharmacokinetic properties, pharmacodynamic mechanisms of action of the interacting drugs are known, and most adverse interactions can be avoided. In this paper, the clinical importance, classification, and general principles of clinical drug-interactions are presentated with a few explanatory examples.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.63-65
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• 2022

DDI(Drug-Drug Interaction)는 병원에서 발생하는 약물이상반응의 30%를 유발하는 부작용이지만, 현실적으로 모든 약물쌍의 DDI 를 기존 in vivo, in vitro 방식으로 예측하는 것은 불가능하다. 그렇기에, 다양한 in silico 방식의 DDI 예측 모델이 연구되고 있다. 본 연구에서는, 단백질 네트워크 상에서 RWR(Random Walk with Restart) 알고리즘을 통해 약물과 직접적으로 상호작용하는 단백질과 간접적으로 상호작용하는 단백질의 정보를 사용하여 DDI 를 예측하는 모델을 개발하였다. 이 모델을 통하여 기존에 발견하지 못한 DDI 를 새롭게 발견하고, 신약 개발 시에도, 신약과 함께 복용 시 문제를 일으킬 수 있는 약물을 예측하여 약물 이상반응을 방지하고자 한다.

• Korean Journal of Biological Psychiatry
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• v.7 no.1
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• pp.21-33
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• 2000

As the clinical practice of using more than one drug at a time increase, the clinician is faced with ever-increasing number of potential drug interactions. Although many interactions have little clinical significances, some may interfere with treatment or even be life-threatening. This review provides a better understanding of drug-drug interactions often encountered in pharmacotherapy of depression. Drug interactions can be grouped into two principal subdivisions : pharmacokinetic and pharmacodynamic. These subgroups serve to focus attention on possible sites of interaction as a drug moves from the site of administration and absorption to its site of action. Pharmacokinetic processes are those that include transport to and from the receptor site and consist of absorption, distribution on body tissue, plasma protein binding, metabolism, and excretion. Pharmacodynamic interactions occur at biologically active sites. In this review, emphasis is placed on antidepressant medications, how they are metabolized by the P450 system, and how they alter the metabolism of other drugs. When prescribing antidepressant medications, the clinician must consider the drug-drug interactions that are potentially problematic.

• Korean Journal of Biological Psychiatry
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• v.7 no.1
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• pp.34-45
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• 2000

Pharmacotherapy of bipolar disorder is a rapidly evolving field. Mood stabilizers and anticonvulsants have varying biochemical profiles which may predispose them to different adverse effects and drug-drug interactions. Several of the new anticonvulsants appear less likely to have the problems with drug-drug interaction. To provide more effective combination pharmacotherapies, clinicians should be allowed to anticipate and avoid pharmacokinetic and pharmacodynamic drug-drug interactions. We reviewed the role of cytochrome P450 isozymes in the metabolism of the drugs and their interactions. The drug-drug interactions of several classes of drugs which used as mood stabilizers and new anticonvulsants, some of which may have psychotropic profiles, are discussed mainly in this article. Finally, potential pharmacokinetic interactions between the benzodiazepines and other coadministered drugs are discussed briefly.

• Proceedings of the KSCN Conference
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• 1998.05a
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• pp.69-69
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• 1998

• 대한임상약리학회:학술대회논문집
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• 1992.11a
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• pp.35-35
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• 1992

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.189-190
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• 2017

우리나라는 최근 의료기술의 발달로 고령화 사회에 진입하여 만성 질환을 가진 노인의 수가 증가하고 있다. 이에 건강보조식품과 만성질환의약품을 복합하여 복용하는 노인들의 약물부작용이 다수 발생하고 있다. 이러한 부작용을 해결하기위해 노인만성질환자들이 복용하는 의약품과 건강보조식품의 상호작용 양상을 알아보고 해결방안을 모색해야할 필요성이 있다. 본 연구는 현재 만성질환의약품과 건강보조식품의 부작용이 일어나고 있는 5가지를 지정하여 노인들이 쉽게 알아볼 수 있도록 표시해주는 그림문자를 개발하였다. 건강보조식품과 만성질환의약품간의 상호작용에 대한 적극적인 복약지도와 그림문자를 통해 만성질환 노인환자의 부작용 발생을 예방함으로써 보다 안전하고 효과적인 의약품 사용이 가능해 질 것으로 기대된다.

• Korean Journal of Psychosomatic Medicine
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• v.17 no.2
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• pp.45-51
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• 2009

Pulmonary diseases distress millions of people worldwide. Numerous studies have shown an association between pulmonary disease and psychiatric disorders. Despite this, little is known about the treatment of psychiatric disorder in patients with pulmonary disease. The three main goals of this article are 1) to discuss the major disorders such as asthma, chronic obstructive pulmonary disease, hyperventilation, tuberculosis, lung cancer that most clinicians see in practice, 2) to provide an information about psychiatric treatment such as anxiety, depression, psychosis in pulmonary disease, and 3) to provide some clinically relevant suggestions about pharmacologic interactions between pulmonary and psychotropic drugs.

• 대한임상약리학회:학술대회논문집
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• 1999.12a
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• pp.14-14
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• 1999