• 제목/요약/키워드: Drug Classification

검색결과 212건 처리시간 0.027초

지역약국에서 보고된 약물유해반응의 분석 (The Clinical Characteristics of Adverse Drug Reactions Reported from the Community Pharmacy)

  • 유윤미;최수안;이모세;윤소정;김미혜;최광훈;신완균
    • 한국임상약학회지
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    • 제24권1호
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    • pp.45-52
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    • 2014
  • Objective: To evaluate the clinical manifestations and causative drugs of the outpatient adverse drug reactions (ADRs) reported by community pharmacy. Methods: From April 2013 to September 2013, all outpatient ADRs reported by community pharmacy to Regional Pharmacovigilance Center of Korean Pharmaceutical Association were included. The causality of ADRs was assessed by the criteria of WHO-Uppsala Monitoring Centre. The clinical features and the offending drugs were analyzed using the WHO-Adverse Reaction Terminology and the classification of American Hospital Formulary Service Drug Information, respectively. Results: 2,826 (97.0%) of the total 2,912 ADRs had causal relationship. The 1,923 patients with mean age of 55.1 years and female fraction of 66.5% were included in the ADRs. Gastrointestinal (33.6%), nervous system (14.9%), and skin (13.5%) symptoms were common in ADRs. Analgesic drugs (19.7%), gastrointestinal drugs (17.7%), and central nervous system drugs (11.0%) were prevalent offending drugs. The leading causative generic drug was the complex of acetaminophen and tramadol. Among 203 ADRs by the nonprescription drugs, the most common clinical features were skin (37.4%) and gastrointestinal (23.6%) symptoms and the most prevalent offending drugs were analgesic drugs (40.0%) and mucocutaneous system drugs (16.3%). The combination of acetaminophen and chlorzoxazone was the leading causative generic in nonprescription drugs. Conclusion: In this study, gastrointestinal symptom was the most common manifestation and analgesic drug was the most common causative drug in outpatient ADRs reported by community pharmacy.

지역약국 방문 성인의 일반의약품 복용실태 및 일반의약품과 처방의약품과의 상호작용 연구 (Patterns of Over-the-Counter Drug Use and Interactions between Over-the-Counter Drugs and Prescription Drugs in Adults Visiting a Community Pharmacy)

  • 채민경;방준석;이유정
    • 한국임상약학회지
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    • 제23권1호
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    • pp.49-56
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    • 2013
  • Objective: The purpose of this study was to evaluate the patterns of Over-the-Counter (OTC) drugs and their interactions with prescription drugs in adults visiting a community pharmacy. Method: The subjects were 151 adults aged over 20 years visiting a community pharmacy in Asan-si from December 16th 2011 to February 1st 2012. We used a survey questionnaire. The survey inquired about the prevalence and the details of any OTC drug use and the characteristics of the study subjects. The drug interaction classification system from Lexicomp's Lexi-interact data fields was used to identify OTC drugs likely to have clinically significant interactions with prescription drugs. Results: The patterns of OTC drug use were related to thirties (from 30 to 40 years old), female gender, higher education, non-smoking, sometimes use of alcohol, and self-perceived normal health status. The most commonly used OTC drug category was antipyretic-analgesics (n=104, 53.3%), and the most commonly used ingredient was acetaminophen (n=67, 64.4%). The biggest motivation for taking OTC drugs was suggestion by pharmacists, reported by 55.6%. After reviewing each patient's prescription drugs and OTC drugs, 14 patients (36.8%) of 38 patients using prescription drugs were taking drug combinations with potential for clinically significant interactions. The concomitant use of OTC drugs with prescription drugs may lead to increased potentially harmful interactions. Conclusion: It is suggested that health-care professionals should be more aware of the potential and possible interactions and take into better account their patients' OTC drug use.

모양분류와 컬러정보를 이용한 내용기반 약 영상 검색 시스템 (A Contents-based Drug Image Retrieval System Using Shape Classification and Color Information)

  • 전준철;김동선
    • 인터넷정보학회논문지
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    • 제12권6호
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    • pp.117-128
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    • 2011
  • 본 논문에서는 약 영상의 모양 분류와 컬러정보를 이용한 새로운 내용기반 약 영상 검색 시스템을 제안한다. 내용기반 약 영상검색 시스템의 구현에 있어 주요 문제점은 유사한 모양과 색상을 지닌 영상이 너무 많이 존재한다는 것이며, 단순히 약 영상의 한 가지 특성에 의해서는 특정한 약을 확인하기 어렵다는 것이다. 이러한 약 영상 구분의 문제를 해결하기 위하여 본 논문에서는 약 영상의 모양과 색상에 근거한 복합적인 영상검색 방법을 제시하였다. 제안된 방법의 첫 단계에서는 약 영상을 모양에 의해 분류한 후 두 번째 단계에서 분류된 영상들 가운데 약 영상의 색상 정보를 이용하여 약 영상을 검색하였다. 모양 분류를 위하여 대상 약의 경계선으로부터 추출된 고유의 모양신호를 추출하여 사용하였다. 모양신호에 의해 분류된 영상으로부터 색조(hue)와 채도(saturation)정보를 이용하여 데이터베이스 영상으로부터 질의 영상과 유사도 가 높은 영상을 검색 추출하였다. 제안된 시스템은 약 영상의 시각적 특성에 의해 노인과 같은 특정한 사용자들이 영상을 쉽게 검색할 수 있도록 개발되었다. 실험을 통해 제안된 자동 시스템이 약 영상을 인식하고 검색하는데 신뢰성 있고 편리하다는 것을 입증 하였다.

이원화 체계 하에서의 현대적 한약제제 분류 방안 고찰 (Suggestion about Modernized Classification of Herbal Medicinal Preparations in Dual Medical Systems)

  • 김지훈;조선영;한상용;박선동;김윤경
    • 대한한의학회지
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    • 제36권1호
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    • pp.61-74
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    • 2015
  • Objectives: The main purpose of this study is to find a solution for modernized classification of herbal medicinal preparations in dual medical systems. Through this study, we expect to provide a reasonable foundation of herbal medicine for public health. Methods: We studied legal or technical terms of herbal medicinal preparations from the past regulations, and through this procedure, we could suggest clear definitions of terms for herbal medicinal preparations. We also investigated documents for approval of herbal medicinal preparation from US, EU(European union), The People's Republic of China, Japan, so that we can refer to them to revise regulation for appropriate use of herbal preparations. Results: In Korea pharmaceutical affairs act, any basis of 'Crude drugs' does not exist. But in some subordinary notifications, the way that they use the 'Natural product medicine' is used as a means of limiting basic rights of doctor or pharmacist of Korean medicine compared to doctor or pharmacist. At the same time, in subordinary notifications, provisions are vague and not enough for scientific evidence of Korean medicine. Thus, we re-categorized herbal medicinal preparations into new drugs, drugs made from herbal medicinal preparations and suggested requirements for drug approval. Conclusions: Instead of using the term 'Crude drug preparations', and we should use term 'Herbal medicinal preparations' in related act and notification. And also we suggest to amend subordinary regulations and documents for approval of herbal medicinal preparations. Through this, we can make herbal medicinal preparations be more industrialized.

식품 중 사용금지 원료인 Aphanizomenon flos-aquae 검출법 개발 및 응용 (Development and Application of Detection Method for Aphanizomenon flos-aquae not Usable as a Food Materials in Korea)

  • 박용춘;신승정;이호연;김용상;김미라;이상재;이화정
    • 한국식품위생안전성학회지
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    • 제28권2호
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    • pp.188-193
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    • 2013
  • Aphanizomenon flos-aquae는 시아노박테리아 일종이며 anatoxin-a, saxitoxin, neosaxitoxin 등의 독소를 생산할 수 있어 국내에서는 식품원료로 사용이 금지되어있다. 전통적으로 시아노박테리아는 사상체 넓이, 세포 크기, 분열방법, 세포형태, 가스주머니의 존재유무 등의 형태학적 특징에 의한 분류가 가능하다. 그러나 가스주머니 혹은 무성포자와 같은 특징은 주변 환경 또는 생장조건에 따라 차이가 있으며 경우에 따라 소실되기도 한다. 따라서 PCR에 의한 Aph. flos-aquae를 함유하는 기능식품을 검출할 수 있는 분석법을 개발하였다. 프라이머를 설계하기 위하여 유전자은행(www.ncbi.nlm.nih.gov)에 등록되어있는 Aph. flos-aquae, 스피루리나의 16S rRNA 염기서열을 이용하였으며, 비교 및 분석에는 BioEdit ver. 7.0.9.0 프로그램을 사용하였다. 최종적으로 클로렐라, 스피루리나, 녹차, 시금치로부터 Aph. flos-aquae를 검출할 수 있는 AFA-F1/AFA-R1(363 bp) 프라이머를 최종 선정하였다. 그리고 상기 프라이머는 Aph. flos-aquae가 각각 1% 함유 되도록 제조된 클로렐라, 스피루리나 제품에서 모두 혼입여부의 확인이 가능함을 확인하였다.

국내 및 Codex에서 식품첨가물의 사용기준 비교 (Comparison between Use Levels of Food Additives by Codex and Korea)

  • 이미경;이서래;박성관;홍기형;이달수;장영미;권용관;박성국
    • 한국식품위생안전성학회지
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    • 제21권1호
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    • pp.14-22
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    • 2006
  • 국내와 Codex에서의 식품첨가물 사용기준패턴 및 식품분류방법에 따른 차이 때문에 양자간의 첨가물 사용기준을 비교하는 데 많은 어려움이 예상되었다. 따라서 본 연구에서는 benzoic acid, food red No. 2, sulfur dioxide, polysorbate 60에 대해 첨가물별 사용기준 대조표와 된장, 고추장, 라면에 대해 식품별 사용기준 대조표를 작성하였다. 첨가물별 사용기준 대조표의 작성에서는 식품분류방법에서의 차이 때문에, 그리고 식품별 사용기준 대조표에서는 국내 첨가물 사용기준 설정 패턴의 혼용 때문에 많은 문제점과 어려움이 있었다. 본 연구에서 제시한 사용기준대조표는 규제당국 및 식품산업계에서 긴요하게 활용될 수 있을 것이며 사용기준의 국가간, 식품간 비교시 세심한 주의가 요구된다는 점을 보여주었다.

의원 외래환자의 약품비 변화 관련요인: 처방총액 절감 인센티브제도와 DUR 제도 시행 전후를 중심으로 (Factors associated with changes in pharmaceutical expenditures of outpatient care in clinic setting : Focusing on the incentive scheme to reduce total prescribed drug expenditure and the drug utilization review system)

  • 이명현;정우진;조은;김노을;이선미
    • 보건행정학회지
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    • 제22권4호
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    • pp.561-578
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    • 2012
  • This study was performed in order to compare a change in pharmaceutical expenditures per outpatient of clinic and to analyze factors relevant to a systems as part of evaluating policies for the incentive scheme to reduce total prescribed drug expenditure and for the drug utilization review system("DUR system" hereafter). For this, it had finally analytical subjects as 21,320 clinics nationwide without a change in location, clinics symbol and signed subject during both terms of the first half of 2010 and the first half of 2011. As a result, the odds ratio with reduction in pharmaceutical expenditures of clinic was statistically higher significantly in the shorter year number of opening clinic, in the larger number of doctors, when the classification of establishment is other, not individual, and when the signed subject is surgical division. Also, the odds ratio was significantly higher in the less patient number of clinic and in the lower ratio of patients aged over 65. Finally, the odds ratio was significantly high when a clinic had been located in DUR system demonstrative project area. Through this, a case of policy for improvement in doctor's autonomous prescription behavior like DUR system can be known to be effective for reduction in pharmaceutical expenditures. A future research on evaluation of policy for pharmaceutical expenditure management system will need to be performed in-depth analysis in consideration of diverse characteristics on the participatory entities.

머신러닝 기반의 신약 재창출 관련 연구 동향 분석 (Analysis of Research Trends Related to drug Repositioning Based on Machine Learning)

  • 유소연;임규건
    • 경영정보학연구
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    • 제24권1호
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    • pp.21-37
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    • 2022
  • 신약을 개발하는 한 가지 방법의 하나인 신약 재창출(Drug Repositioning)은 이미 사람들에게 사용할 수 있도록 승인된 약물들이 다른 용도로 사용되도록 하여 새로운 적응증을 발견하는 유용한 방법이다. 최근에는 머신러닝 기술의 발달로 방대한 생물학적 정보를 분석하여 신약 개발에 활용하는 경우가 증가하고 있다. 신약 재창출에 머신러닝 기술을 활용하면 효과적인 치료법을 신속하게 찾아내는 데 도움을 줄 것이다. 현재 심각한 급성 호흡기 증후군인 코로나바이러스(COVID-19)에 의한 신종 질병으로 전 세계가 힘든 시간을 보내고 있다. 이미 임상적으로 승인된 약물의 용도를 변경하는 신약 재창출은 COVID-19 환자를 치료하기 위한 치료제의 대안이 될 수 있다. 본 연구는 머신러닝 기법을 활용하여 신약 재창출 분야에 대한 연구 동향을 살펴보고자 한다. Pub Med에서 웹 스크래핑 기법을 사용하여 'Drug Repositioning'이라는 키워드로 총 4,821건의 논문을 수집하였다. 데이터 전처리 후, 4,419건의 논문을 대상으로 빈도분석, LDA 기반 토픽모델링, Random Forest 분류 분석 및 예측 성능평가를 수행하였다. Word2vec 모델을 기반으로 연관어를 분석하였고, PCA 차원 축소 후 K-Means 군집화하여 레이블을 생성한 후, t-SNE 알고리즘을 이용하여 논문이 형성하고 있는 그룹을 시각화하고, LDA 결과에 계층적 군집화를 적용하여 히트맵으로 시각화하였다. 본 연구는 신약 재창출과 관련된 연구 주제가 무엇인지를 파악하고, 머신러닝 알고리즘을 사용하여 대량의 문헌에서 의미 있는 주제를 도출하고 시각화하는 방법을 제시하였다. 향후 신약 재창출 분야의 연구나 개발 전략을 수립하기 위한 기초자료로 활용되는 데 도움을 줄 것이라고 기대한다.

주요국의 의료기기 품목 분류체계 조사분석을 통한 국내 의료기기 품목 신설 및 세분화 연구 (A Study on the Improvement of Domestic Medical Device Classification System through the Analysis of Major Foreign Countries)

  • 손지민;유강현;김유림;권경민;이희성;장원석
    • 대한의용생체공학회:의공학회지
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    • 제44권1호
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    • pp.41-52
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    • 2023
  • With the international change in the medical device market owing to the development of innovative medical engineering and the use of various raw materials, a systematic and rational medical device classification system is needed to safely manage newly developed medical devices. This study aims to improve the domestic medical device classification system by proposing product establishment and segmentation. It is based on medical device products from the United States and Europe that are only available in foreign systems and are more subdivided than domestic products. This study analyzes and compares the domestic and foreign medical device classification systems by examining laws, guidelines, and analysis reports in Korea, the United States, and Europe. In accordance with product establishment and segmentation criteria, products subject to improvement are presented. This study contributes to safely managing medical devices that do not fit with the current classification system and to solving the confusion caused by the lack of international harmony in product classification systems.

임신부에서 항히스타민제와 알레르기용약의 국가별 안전정보 일치도 분석 : 한국, 미국, 영국, 일본 허가사항을 중심으로 (Agreement of Label Information of Antihistamine, Anti-allergy Medications in Pregnancy among Korea, the USA, the UK, and Japan)

  • 박미주;신주영;김홍아;박효주;김미희;신선미;박병주
    • 한국임상약학회지
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    • 제23권4호
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    • pp.327-333
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    • 2013
  • Background: Antihistamine and anti-allergy medications are widely used during pregnancy. Reading label information is one of the easiest ways to get safety information. But there are content gaps among countries. Objective: To compare the risk level and the recommendation level of antihistamine/anti-allergy drug's label information in pregnant women among Korea, the USA, the UK, and Japan. Method: Study drugs of antihistamine/anti-allergy medications were selected according to Korea drug classification codes. Based on the label information of selected product, risk level was classified into 5 categories as follows: 'Definite', 'Probable', 'Possible', and 'Unlikely', 'Unclassified' according to the level of evidence. Recommendation level was classified into 4 categories as follows: 'Contraindicated', 'Cautious', 'Compatible', and 'Unclassified'. Frequency and proportion were presented according to the each category. To estimate agreement of each category among 4 countries, percent agreement and kappa (k) coefficient were calculated. Results: Total 13 drug ingredients were selected for antihistamine/anti-allergy medications. In risk level, Korea (46%) and Japan (69%) were mostly classified in the category of 'Unclassified', but 'Unlikely' category was more frequent in the UK (62%) and the USA (46%). In recommendation level, the proportion of 'Contraindicated' was highest in Korea (46%) compared to other countries. In contrast, the category of 'Cautious' was 77%-85% in the USA, the UK, and Japan. The percent agreement for risk level was highest in the USA-UK (54%). The recommendation level of Korea-USA showed lowest agreement for percent agreement (46%) and kappa coefficient (k=0.02). Conclusion: We confirmed the differences among safety information provided by four different countries. 'Contraindicated' was more likely in Korea compared with other countries.