• Title/Summary/Keyword: drug classification system

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A Study of Aquatic Drugs Classification System (수산용 의약품의 분류체계에 관한 연구)

  • KWON, Mun-Gyeong;SEO, Jung-Soo;HWANG, Jee-Youn;SON, Maeng-Hyun;PARK, Myoung-Ae
    • Journal of Fisheries and Marine Sciences Education
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    • v.29 no.2
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    • pp.581-585
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    • 2017
  • To strengthen the quality control of aquatic drugs, we compared the internal and external(EU, USA and Japan) aquatic drug classification systems and proposed a new aquatic drug classification system. Aquatic drugs are classified on the basis of their functional the functional characteristics or safety management degree of aquatic drugs. We suggested that the aquatic drugs can be categorized into 7 levels according to their functional characteristics and classified into 3 levels according to the safety management degree of aquatic drugs.

Therapeutic Duplication Criteria Development of Respiratory System Drugs (호흡기계 작용 약물의 치료군 중복처방 평가기준 개발)

  • Choi, Kyung-Eob;Sohn, Hyun-Soon;Kim, Nam-Hyo;Shin, Hyun-Taek;Lee, Young-Sook
    • YAKHAK HOEJI
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    • v.56 no.2
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    • pp.126-135
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    • 2012
  • Purpose: To develop therapeutic duplication criteria for the drugs used for respiratory diseases. Method: Therapeutic duplication was defined as "more than 2 drug ingredient-usage in which each has the same therapeutic effect and combination therapy does not confer additional therapeutic benefit". Respiratory system drugs approved in Korea were examined for the study. The WHO's Anatomical Therapeutic Chemical Classification System was used for grouping of the corresponding drug ingredients. The principles and recommendations on combination usage or multiple drug regimens were reviewed by using the clinical practice guidelines, textbooks, product labelings, and clinical articles. Clinical expert group consultation was performed and expert opinions were incorporated into the final criteria. Results: Nine hundred sixty two drug products with Korean Food and Drug Administration classification codes of 141, 149, 222, and 229 were evaluated, of which 87 active ingredients were composed. The drug ingredients were classified into 12 groups (antihistamines, oral nasal decongestants, leukotriene receptor antagonists, inhaled anticholinergics, inhaled corticosteroids, oral ${\beta}2$-agonists, long-acting ${\beta}2$-agonists, short-acting ${\beta}2$-agonists, xanthines, antiallergics, mucolytics and cough suppressants). The use of more than 2 drug ingredients including the same group was therapeutic duplication, and thus combination should be recommended not to be used. Conclusion: Twelve drug groups were identified as therapeutic duplication criteria. Combination therapy within each group should not be used otherwise therapeutic benefits outweigh potential risks.

Analysis of Drug Interaction Information (국내의약품의 약물상호작용 정보 분석)

  • Lee, Young-Sook;Lee, Ji-Seon;Lee, Suk-Hyang
    • Korean Journal of Clinical Pharmacy
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    • v.19 no.1
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    • pp.1-17
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    • 2009
  • Adverse drug reactions (ADR) caused by inappropriate prescription are responsible for major socioeconomic loss. Drug-drug interactions (DDI) has been recognized as a major part of ADRs and, therefore, healthcare professionals should prevent possible DDIs to minimize preventable ADRs. This study aimed to examine DDI information in drug information references and Korea Food & Drug Administration (KFDA) drug labeling information. Drug ingredients from the formulary of Health Insurance Review and Assessment Service in Korea (HIRA) were included for the study. DDI information source used for the study were Micromedex Drugdex and Drug Information Facts (DIF) with the DDI severity level of "moderate" or more. The DDI information in KFDA drug labeling were collected and compared. Drug ingredients were classified with KFDA Drug Classification and ATC Classification of WHO for the analysis. Among the total 1,355 drug ingredients satisfying inclusion criteria, 738 ingredients involved at least one DDI, which was described in Micromedex and/or DIF. Drug Ingredients of 176 involved DDI only described in KFDA drug labeling, but not Micromedex nor DIF. Drug ingredients of 35 which DDIs were described in Micromedex or DIF did not have DDI based on KFDA drug labeling. Micromedex and DIF retrieved 7,582 and 3,071 DDIs, respectively 57.6% and 58.5% of DDIs were also described in KFDA drug labeling. Central nervous system (CNS) drugs, cardiovascular system (CVS) drugs and the antiinfectives appeared to have higher frequency of DDIs among all drug classes. The highest number of DDIs with high severity level ("contraindicated" or "major") were the DDIs of CNS drugs. The antiinfectives are the second drug group having serious DDIs. The DDI pairs of the CNS drug and the antiinfective had the highest contraindication risk (13.6%). DDI information from Micromedex and DIF were not consistent with the result that only 465 ingredients' DDIs are common in both literature (total DDI numbers were 715 vs 488, respectively). And 1,652 DDI information are common in both references among 7,582 vs 3,071 DDIs, respectively. Only 55.2% of DDI information in the database contained in the KFDA drug labeling. Prescribers and pharmacists should pay attention to the drugs for CV system, CNS and infections because of higher risk of possible DDIs compared to other drug classes. KFDA drug labeling is not likely to be recommended as a good information source for DDI due to significant inconsistency of information. Drug information providers should be aware that DDI information from different sources are not consistent and therefore multiple references should be used.

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Classification of Korean Traditional Foods According to the Codex Food Category System (전통식품의 식품첨가물 사용을 위한 Codex FCS상의 분류방안)

  • Lee Mi-Gyung;Oh Won-Taek;Lee Su-Rae;Lee Tal-Soo;Jang Young-Mi;Hong Ki-Hyoung;Park Sung-Kwan;Kwon Yong-Kwan;Han Youn-Jeong
    • Journal of Food Hygiene and Safety
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    • v.21 no.1
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    • pp.1-8
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    • 2006
  • This project was undertaken to compare the Korea Food Standards Code, Food Additives Code and Codex Food Category System and to propose necessary measures to improve the regulatory system of food additives which are scientifically reasonable and harmonizable with international standards. Current food grouping and nomenclature in Korea were specifically compared with the Codex Food Category System and measures to solve any problems in connection with the use of additives in traditional foods were attempted. Among the food commodities in the Korea Foods Standards Code, 8 food groups including Korean confections, semisolid starchy syrups, bean curds and starch gels, edible oils and fats, tea beverages, seasoning foods, kimchi and salted vegetables, and ginseng products were chosen to propose some improvement measures to harmonize the classification, nomenclature, definition and use of additives with the Codex standards.

OTC Drug Regulatory System of Korea Comparing to Other Countries (일반의약품 허가제도의 국가간 비교 및 발전 방향)

  • Sohn, Hyun-Soon;Shin, Hyun-Taek
    • Korean Journal of Clinical Pharmacy
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    • v.15 no.2
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    • pp.127-138
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    • 2005
  • This is to examine the OTC regulatory system of Korea in comparison with those of Japan, UK and US, and suggest the possible regulatory actions to harmonize it to international standards. Individual countries have their own regulatory requirements and processes far OTC application based on established drug monographs and safety profiles from clinical experiences. Categories of OTC drug monographs are being expanded with transparent establishment procedure according to detailed guidelines, and public opinions as well as professional experts for assessing appropriateness of wide usage without physician's prescription. In line with trend of self-medication worldwide, the number of OTC drugs is increasing and more efficient and professional drug review is underway in the separate OTC division in regulatory agency. For improving OTC regulatory system in Korea, settlement of optimal drug classification policy and management for encouraging OTC drug use, development of more detailed and specific guidelines for OTC drug application, expansion of OTC drug monographs, transparent process for OTC monographs establishment, and establishment of OTC division in health authority, are suggested.

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Comparison of Caco-2 and MDCK Cells As an In-Vitro ADME Screening Model (In-Vitro 흡수특성 검색모델로서 Caco-2 및 MDCK 세포배양계의 특성 비교 평가)

  • Go, Woon-Jung;Cheon, Eun-Pa;Han, Hyo-Kyung
    • Journal of Pharmaceutical Investigation
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    • v.38 no.3
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    • pp.183-189
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    • 2008
  • The present study compared the feasibility of Caco-2 and MDCK cells as an efficient in-vitro model for the drug classification based on Biopharmaceutics Classification System (BCS) as well as an in-vitro model for drug interactions mediated by P-gp inhibition or P-gp induction. Thirteen model drugs were selected to cover BCS Class I{\sim}IV$ and their membrane permeability values were evaluated in both Caco-2 and MDCK cells. P-gp inhibition studies were conducted by using vinblastine and verapamil in MDCK cells. P-gp induction studies were also performed in MDCK cells using rifampin and the P-gp expression level was determined by western blot analysis. Compared to Caco-2 cells, MDCK cells required shorter period of time to culture cells before running the transport study. Both Caco-2 and MDCK cells exhibited the same rank order relationship between in-vitro permeability values and human permeability values of all tested model compounds, implying that those in-vitro models may be useful in the prediction of human permeability (rank order) of new chemical entities at the early drug discovery stage. However, in the case of BCS drug classification, Caco-2 cells appeared to be more suitable than MDCK cells. P-gp induction by rifampin was negligible in MDCK-cells while MDCK cells appeared to be feasible for P-gp inhibition studies. Taken all together, the present study suggests that Caco-2 cells might be more applicable to the BCS drug classification than MDCK-cells, although MDCK cells may provide some advantage in terms of capacity and speed in early ADME screening process.

Investigation Study on Gender Difference Based on Korean Data Related to Drug Use (의약품 사용 관련 국내 통계자료에 나타난 성별 차이 조사 연구)

  • Rhee, Su-Jin;Lee, Byung-Yo;Kwon, Kwang-Il
    • Korean Journal of Clinical Pharmacy
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    • v.23 no.2
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    • pp.114-122
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    • 2013
  • Background: Drugs should be evaluated in appropriate subjects representing potential population to take the drugs. This study focuses on gender factor and aims to make known the appropriateness of considering gender difference on clinical evaluation of drug with domestic data related to drug use. Methods: To understand gender difference shown in drug use, three types of domestic statistical data (prevalence of chronic disease, number of outpatient with major concerning disease, and consumption of medicine) were analyzed and compared according to gender. Results: Three of fifteen chronic diseases which were analyzed, showed significantly higher prevalence in women than in men, and three were vice versa. Meanwhile, the sex ratio of outpatients was significantly different in 22 major concerning diseases. Among the drug groups coded by Anatomical Therapeutic Chemical (ATC) Classification System, the consumption of most drug groups was generally higher in women than in men except for one group coded G (genito-urinary system and sex hormones). Conclusion: Gender difference should be considered in domestic clinical evaluation of drug and domestic guidance for reflecting gender difference should be established.

A Study on the Drug Classification Using Machine Learning Techniques (머신러닝 기법을 이용한 약물 분류 방법 연구)

  • Anmol Kumar Singh;Ayush Kumar;Adya Singh;Akashika Anshum;Pradeep Kumar Mallick
    • Advanced Industrial SCIence
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    • v.3 no.2
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    • pp.8-16
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    • 2024
  • This paper shows the system of drug classification, the goal of this is to foretell the apt drug for the patients based on their demographic and physiological traits. The dataset consists of various attributes like Age, Sex, BP (Blood Pressure), Cholesterol Level, and Na_to_K (Sodium to Potassium ratio), with the objective to determine the kind of drug being given. The models used in this paper are K-Nearest Neighbors (KNN), Logistic Regression and Random Forest. Further to fine-tune hyper parameters using 5-fold cross-validation, GridSearchCV was used and each model was trained and tested on the dataset. To assess the performance of each model both with and without hyper parameter tuning evaluation metrics like accuracy, confusion matrices, and classification reports were used and the accuracy of the models without GridSearchCV was 0.7, 0.875, 0.975 and with GridSearchCV was 0.75, 1.0, 0.975. According to GridSearchCV Logistic Regression is the most suitable model for drug classification among the three-model used followed by the K-Nearest Neighbors. Also, Na_to_K is an essential feature in predicting the outcome.

Development of Analytical Method and Validation using HPLC/PDA for Discrimination between Artemisiae Argyi Folium and Artemisiae Iwayomogii Herba

  • Le, Duc Dat;Nguyen, Duc Hung;Zhao, Bing Tian;Min, Byung Sun;Woo, Mi Hee
    • Natural Product Sciences
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    • v.25 no.3
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    • pp.275-283
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    • 2019
  • In this study, we described the new developed method to simultaneously discriminate two herbal drugs of Artemisiae Argyi Folium and Artemisiae Iwayomogii Herba using eight marker compounds (1 - 8) on an HPLC-PDA system. The developed method was applied to quantify the major components of two herbal drugs. The pattern analysis successfully discriminated and evaluated different components between Artemisiae Argyi Folium and Artemisiae Iwayomogii Herba. Results were used for classification of different species from collected samples.

Analysis of Frequent Therapeutic Duplication Drug Classes Based on National Health Insurance Claimed Data in Korea (국내 건강보험심사청구자료에 근거한 다빈도 치료중복 의약품 약효군 분석)

  • Sohn, Hyun-Soon;Lee, Young-Sook;Choi, Kyung-Eob;Shin, Hyun-Taek
    • Korean Journal of Clinical Pharmacy
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    • v.20 no.3
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    • pp.262-267
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    • 2010
  • Therapeutic duplication of prescriptions is the most frequently reported inappropriate drug use in Korea. To prevent significant problems during drug prescribing and dispensing, prospectively, development of standard including drug lists considered as therapeutic duplications for the prioritized drug classes first would be necessary. This study was aimed to analyze frequent drug classes of therapeutic duplications by healthcare providers in clinical practice settings. National health claims data for drug review and reimbursement (1,426,065 prescriptions dated March 19, 2008) were analyzed. Therapeutic duplication was defined as the prescription including more than 2 ingredients belonging to the same KFDA drug classification numbers that considered to have therapeutic similarities. The following 3 drug classes were mostly frequent therapeutic duplication classes: 114 anti-pyretics, analgesics and anti-inflammatory drugs; 117 drugs for psycho-nervous system; 141 Antihistamines. About 3.5% of overall prescriptions analyzed showed therapeutic duplications. This result might be starting step to develop DUR therapeutic duplication standard.