• Title/Summary/Keyword: Drug Classification

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A Modern Aapproach to The Natures of Drugs(I) -Relation to The Rectal Temperature- (한약의 약성(사기)에 대한 현대적 검증 (I) -체온과의 상관성-)

  • 남봉현;이미영;김정숙;이한구
    • Biomolecules & Therapeutics
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    • v.5 no.1
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    • pp.8-11
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    • 1997
  • The odor theory (기미론) has been defined as the Nature (기) and the Taste(미) of traditional herbal medicine to find the logic in treatment of various diseases by them. There is a strong possibility these Na1ures of the drug can be categorized according to yin (음) and yang (음). There is a neutral Nature which does not fit into one of these four categories. To understand the Natures of traditional herbal drugs in modern scientific approaches, changes in rectal temperature of rats have been measured at 0,30, 60, 90 min after a 10 g/Kg oral administration each of 34 different drugs. Following the classification of the four Natures of drugs, only the temperatures of warm group at 30, 60, and 90 min were elevated significantly from the control and the rest groups. Following a modified classification of 3 groups such as cold and cool, warm and hot, and neutral Nature, changes in temperatures after administration of Hot and Warm drugs were also increased significantly from the control (P<0.01). Thus, the measurement of rectal temperature can be a tool to define the Nature (기) of traditional herbal drugs, but the modified classification is another way to do.

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Analysis of Nursing Interventions Performed by Gynecological Nursing Unit Nurses Using the Nursing Interventions Classification (간호중재분류 (NIC)에 근거한 부인과 간호단위의 간호중재 분석)

  • Hong, Sung-Jung;Lee, Sung-Hee;Kim, Hwa-Sun
    • Women's Health Nursing
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    • v.17 no.3
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    • pp.275-284
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    • 2011
  • Purpose: The purpose of this study was to identify nursing intervention performed by nurses on gynecological nursing units. Methods: The instrument in this study is based on the fifth edition of Nursing Interventions Classification (NIC) (2008). Data was collected by Electronic Medical record from August, 2010 to October, 2010 at one hospital and analyzed by using frequencies in the Microsoft Excel 2010 program. Results: Of a total of 82 NIC, domains of the nursing interventions showed higher percentages for physiological: basic (36.3%) and physiological: complex (34.5%). The classes of nursing interventions showed higher percentage for health system medication (12.1%), perioperative care (10.0%), and drug management (8.6%). The most frequently used top interventions were Discharge Planning. The thirty least used interventions was environmental management. Top thirty most frequently used interventions belonged to the domain of physiological: basic (37.9%), physiological: complex (31.1%), and behavioral (5.4%). Conclusion: These findings will help in the establishment of a standardized language for gynecological nursing units and enhance the quality of nursing care.

Analysis and Subclass Classification of Microarray Gene Expression Data Using Computational Biology (전산생물학을 이용한 마이크로어레이의 유전자 발현 데이터 분석 및 유형 분류 기법)

  • Yoo, Chang-Kyoo;Lee, Min-Young;Kim, Young-Hwang;Lee, In-Beum
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.10
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    • pp.830-836
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    • 2005
  • Application of microarray technologies which monitor simultaneously the expression pattern of thousands of individual genes in different biological systems results in a tremendous increase of the amount of available gene expression data and have provided new insights into gene expression during drug development, within disease processes, and across species. There is a great need of data mining methods allowing straightforward interpretation, visualization and analysis of the relevant information contained in gene expression profiles. Specially, classifying biological samples into known classes or phenotypes is an important practical application for microarray gene expression profiles. Gene expression profiles obtained from tissue samples of patients thus allowcancer classification. In this research, molecular classification of microarray gene expression data is applied for multi-class cancer using computational biology such gene selection, principal component analysis and fuzzy clustering. The proposed method was applied to microarray data from leukemia patients; specifically, it was used to interpret the gene expression pattern and analyze the leukemia subtype whose expression profiles correlated with four cases of acute leukemia gene expression. A basic understanding of the microarray data analysis is also introduced.

A Review of Recent Evidence on Trigeminal Neuralgia

  • Mee-Eun Kim;Hye-Kyoung Kim
    • Journal of Oral Medicine and Pain
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    • v.48 no.1
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    • pp.3-10
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    • 2023
  • This review aimed to update our knowledge of the classification, pathophysiology, prognosis, and treatment of trigeminal neuralgia (TN), with the intention of establishing better treatment protocols. The latest version of the International Classification of Headache Disorders uses an etiology-based approach to characterize TN patients, potentially contributing to the development of targeted treatment measures. Noticeable changes in the recent European Academy of Neurology guidelines for the management of TN include the use of magnetic resonance imaging for exclusion of secondary TN and differentiation of idiopathic and classical TN. Additionally, the use of botulinum toxin type A as an addon therapy for mid-term treatment of TN has also been included. Though there has been limited recent progress in the treatment of TN, previous studies emphasize the importance of customized, multidisciplinary management protocols that include drug therapy optimization; provision of continuous education and support; and timely referral of medically refractory patients for surgery in order to achieve favorable prognosis. Furthermore, slow but growing evidence on gene mutations will help elucidate the pathophysiology of TN and contribute to the development of targeted drugs that are effective and safe.

Development of Detection Method for Niphon spinosus, Epinephelus bruneus, and Epinephelus septemfasciatus using 16S rRNA Gene (16S rRNA를 이용한 다금바리, 자바리, 능성어 판별법 개발)

  • Park, Yong-Chjun;Jung, Yong-Hyun;Kim, Mi-Ra;Shin, Joon-Ho;Kim, Kyu-Heon;Lee, Jae-Hwang;Cho, Tae-Yong;Lee, Hwa-Jung;Lee, Sang-Jae;Han, Sang-Bae
    • Korean Journal of Food Science and Technology
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    • v.45 no.1
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    • pp.1-7
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    • 2013
  • Niphon spinosus, Epinephelus bruneus, and Epinephelus septemfasciatus are involved in the Perciformes Order and Serranidae Family. When E. bruneus and E. septemfasciatus are fully grown, the striped pattern on the body gradually disappears. Therefore, morphological classification of adult fishes is quite difficult to identify the differences to N. spinosus. In this study, we investigate the method to differentiate those using PCR. To design the primers, 16S rRNA region of N. spinosus, E. bruneus, and E. septemfasciatus registered in the GeneBank (www.ncbi.nlm.nih.gov) have been used and for the analysis, Bio Edit ver. 7.0.9.0 was used. As a result, it was design NS-003-F/NS-005-R (136 bp), EB-001-F/EB-002-R (181 bp), and ES-001-F/ES-001-R (123 bp) primers for the differentiation of each 3 different fishes. Therefore, the species-specific primer sets would be a useful tool for scientific and speedy differentiation against the illegal distribution for consumer protection.

A literatual studies on the yupung(油風). (油風의 病因, 病機 및 治療藥物에 關한 文獻的 考察)

  • Kim, Nam-uk;Roh, Sek-seon
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.11 no.1
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    • pp.162-179
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    • 1998
  • In the literatual studies on the yupung(油風), the results were as follows. 1. Yupung(油風) was called 'Quijidu(鬼지頭)', 'Quichedu(鬼剃頭)', 'Ballak(髮落)' etc. It was a localized loss of hair in round or oval ares without any subjective symptom 2. The etiology and pathogenesis of Yupung were disorder of vital energy& blood circulation caused by deficiency of blood and wind-dryness syndrome, energy-stagnation and blood stasis, impairment of the liver & kidney. The treatments of Yupung were invigorating the liver & kidney, clearing away heat-evil and cooling blood, nourishing the liver & kidney, activating blood circulation to dissipate blood stasis etc, 3. In the frequency of prescription, the most numerous prescription is Shineuingyangjindan(神應養眞丹) and the next are Tonggyuhwalhyultang(通竅活血湯) & Chilbomiyumdan(七寶美髥丹), 4. In the frequency of medicine, the most numerous medicine is Radix Angelicae Sinensis(當歸) and the next are Rhizoma Rehmanniae Praeparatae(熟地黃) & Rhizoma Ligusiici Chuanxiong(川芎). 5. In classification of drug action, medicines of clearing away wind-heat evil and invigorating yin used to be very busy. 6. In classification of four characters, the most parts are warm medicine. 7. In classification of five tastes, the most numerous tastes are sweet and bitter tastes. 8. In classification of toxicity, the most is non-toxic medicines. 9. In classification of the channel distribution, the most is the medicine that belongs to liver channel. 10. In acupuncture theraphy, it was used 'GV20(百會)', 'G20(風池)', 'GV16(風府)', 'GV14(大椎)', 'LI4(合谷)' etc. in body acupuncture, was used 'S25(天樞)', 'GV14(大椎)', 'B13(肺兪)', 'LI11(曲池)' etc. in moxibustion.

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Impact of the reform for separation between prescribing and dispensing of drugs upon financial situation of the National Health Insurance (의약분업이 건강보험 급여비에 미친 영향)

  • Jeong Hyoung-Sun
    • Health Policy and Management
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    • v.16 no.2
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    • pp.117-134
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    • 2006
  • Korean health care system introduced the reform for separation between prescribing and dispensing of drugs (SPD reform) in the latter part of the year 2000. The objective of this paper is to look at what change this reform has brought about in the financial situation of Korean public health insurance scheme, particularly in terms of insurance benefit outlay. Since the inception of the reform is a development of more than five years ago, its impact on the finance situation would now start to become apparent. Hypothesis is set in this study for each of three components of drug reimbursement in health insurance, i.e. average price level, composition of drugs and their overall volume. In terms of the classification of health care services by mode of production, the impact of the SPD reform is confined mainly to the last two among three drug reimbursement fields including inpatient department, out-patient department and pharmacy. Pure impact of the SPD reform was estimated to be more or less than 1.7 trillion won, 13.1% of the total outlay of the Nation Health Insurance in 2001, and more than 2.0 trillion won, 14.9% of the total outlay of the Nation Health Insurance in 2003. Both dispensing fees for the pharmacists, which had been newly introduced on occasion of the SPD reform, and larger share of expensive drugs in the medicines prescribed by doctors were confirmed to be main drivers of the augmentation of drug reimbursement.

Analysis of Drug Utilization in Patients with Chronic Hepatitis B (국내 만성 B형 간염 환자의 경구용 항바이러스제 사용 현황 분석)

  • Lee, Yu Jeong;Bae, Sung Jin;Je, Nam Kyung
    • Korean Journal of Clinical Pharmacy
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    • v.26 no.3
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    • pp.220-229
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    • 2016
  • Background: The treatment goal for patients with chronic hepatitis B infection is to prevent progression of the disease to cirrhosis and hepatocellular carcinoma. Current therapies include standard and pegylated interferon-alfa and nucleoside/nucleotide analogues: lamivudine, adefovir, entecavir, telbivudine, clevudine, and tenofovir. This study aims to analyze changes in the prescribing patterns of chronic hepatitis B (CHB) medications in South Korea between 2013 and 2014. Methods: A cross-sectional study was conducted using National Patients Sample data compiled by the Health Insurance Review and Assessment Service from 2013 and 2014. Patients with CHB were identified with Korean Standard Classification of Diseases code-6 (B18.0 and B18.1) and those who were maintaining active prescriptions with CHB medications covering the index date (December $1^{st}$, each year) were included. The utilization of antiviral therapy was investigated during 2013 and 2014. Results: A total of 4,204 and 4,552 patients in 2013 and 2014 respectively, were included in the analysis. The proportion of male patients was two of third and the patients 41-60 years old accounted for 60% of all analyzed patients. The most utilized drug was entecavir (55.1% in 2013 and 44.8% in 2014) and the second most utilized drug was tenofovir in both years (18.8% in 2013 and 29.0% in 2014). The percentage of combination therapy was 13.6% and 13.1% in 2013 and 2014, respectively. The proportion of tenofovir prescriptions was increased in 2014 compared with 2013. Conclusion: With the development of new drugs and the changes in clinical practice guidelines, the prescription pattern of the antiviral agents for patients with CHB has changed. The rate of utilization of tenofovir has increased.

An Analysis of the Changes in Community Pharmacy Operation after the Implementation of the Separation Policy of Drug Prescription and Dispensing (의약분업 이후 약국의 운영현황 분석)

  • Ryu, See-Won;Youn, Kyung-Il;Chung, Woo-Jin
    • Korea Journal of Hospital Management
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    • v.7 no.4
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    • pp.102-122
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    • 2002
  • It has been 2 years since the implementation of the separation policy of drug prescription and dispensing. This study analyzes the changes in community pharmacy operation after the implementation of the policy. The main purposes of the analysis are to determine whether the changes in community pharmacy operation have occurred and to evaluate that the changes are consistent with the intention of the policy, if the changes actually have occurred. For the study a survey on 961 pharmacies chosen by stratified sampling method has been performed. Of the 961 sample pharmacies, 438 pharmacies were responded resulting 45.6% response rate. The sample pharmacies are classified by the location that the pharmacy are operating: the pharmacies around large size hospitals, the pharmacies around clinics or medium to small size hospitals and the pharmacies with no hospitals or clinics around. Based on the classification, the number of pharmacies, number of prescriptions processed, the personnel structure, the changes in facility, and other operational characteristics are compared. The results showed that the pharmacies were tended to concentrate around hospitals and clinic since the implementation of the policy. The number of pharmacists per pharmacy was increased, the size of pharmacy was increased and the facilities were improved to accomodate the requirements of the policy. The work hours a pharmacist spent on dispensing drug have increased almost twice, however, there was no corresponding increase in the time spent on patient education and medication history management, indicating a problem in the provision of quality pharmaceutical services. Based on the results, suggestions to minimize the negative effects of the policy are provided.

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Classification of HDAC8 Inhibitors and Non-Inhibitors Using Support Vector Machines

  • Cao, Guang Ping;Thangapandian, Sundarapandian;John, Shalini;Lee, Keun-Woo
    • Interdisciplinary Bio Central
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    • v.4 no.1
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    • pp.2.1-2.7
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    • 2012
  • Introduction: Histone deacetylases (HDAC) are a class of enzymes that remove acetyl groups from ${\varepsilon}$-N-acetyl lysine amino acids of histone proteins. Their action is opposite to that of histone acetyltransferase that adds acetyl groups to these lysines. Only few HDAC inhibitors are approved and used as anti-cancer therapeutics. Thus, discovery of new and potential HDAC inhibitors are necessary in the effective treatment of cancer. Materials and Methods: This study proposed a method using support vector machine (SVM) to classify HDAC8 inhibitors and non-inhibitors in early-phase virtual compound filtering and screening. The 100 experimentally known HDAC8 inhibitors including 52 inhibitors and 48 non-inhibitors were used in this study. A set of molecular descriptors was calculated for all compounds in the dataset using ADRIANA. Code of Molecular Networks. Different kernel functions available from SVM Tools of free support vector machine software and training and test sets of varying size were used in model generation and validation. Results and Conclusion: The best model obtained using kernel functions has shown 75% of accuracy on test set prediction. The other models have also displayed good prediction over the test set compounds. The results of this study can be used as simple and effective filters in the drug discovery process.