Arhiv za Farmaciju最新文献_第8页

Modelling in economic evaluations of medicines 药物经济评价中的建模

Arhiv za Farmaciju Pub Date : 2021-01-01 DOI: 10.5937/arhfarm71-32404

D. Lakic, I. Stević, M. Odalović, I. Tadić

{"title":"Modelling in economic evaluations of medicines","authors":"D. Lakic, I. Stević, M. Odalović, I. Tadić","doi":"10.5937/arhfarm71-32404","DOIUrl":"https://doi.org/10.5937/arhfarm71-32404","url":null,"abstract":"Economic evaluation in health (also known as pharmacoeconomic in case of medicines) identifies, measures, and values costs and outcomes of alternative healthcare technologies, and can be performed alongside controlled clinical trials, but analytical modelling is usually used. Decision trees and Markov models are the two most common approaches used in economic evaluation. The biggest advantages of a decision tree are clarity, simplicity, and straightforwardness. On the other hand, the main advantage of the Markov model is its ability to incorporate complex events into the simulation, which is practically impossible to do with a decision tree. Reimbursement policy in Serbia mandatorily incorporates economic evaluations to promote availability and accessibility of the prescription medicines. To show current pharmacoeconomic value of a medicine, budget impact analysis and the cost-effectiveness analysis should be included. The latter should be conducted using appropriate modelling techniques. However, since no official methodological guidelines about the modelling and economic analysis exist, the submissions by marketing authorization holders vary greatly. The future of pharmacoeconomic modelling depends on the research area of interest, with new frameworks and approaches being developed.","PeriodicalId":39173,"journal":{"name":"Arhiv za Farmaciju","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71198536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Engineering cocrystals of Paliperidone with enhanced solubility and dissolution characteristics 具有增强溶解度和溶解特性的帕利哌酮工程共晶

Arhiv za Farmaciju Pub Date : 2021-01-01 DOI: 10.5937/arhfarm71-32997

Earle Radha-Rani, Gadela Venkata-Radha

引用次数: 4

Current computer-aided drug design methodologies in discovery of novel drug candidates for neuropsychiatric and inflammatory diseases 当前的计算机辅助药物设计方法在发现新的候选药物神经精神和炎症疾病

Arhiv za Farmaciju Pub Date : 2021-01-01 DOI: 10.5937/arhfarm71-32523

Mila Radan, J. Bošković, V. Dobričić, O. Čudina, K. Nikolić

{"title":"Current computer-aided drug design methodologies in discovery of novel drug candidates for neuropsychiatric and inflammatory diseases","authors":"Mila Radan, J. Bošković, V. Dobričić, O. Čudina, K. Nikolić","doi":"10.5937/arhfarm71-32523","DOIUrl":"https://doi.org/10.5937/arhfarm71-32523","url":null,"abstract":"Drug discovery and development is a very challenging, expensive and time-consuming process. Impressive technological advances in computer sciences and molecular biology have made it possible to use computer-aided drug design (CADD) methods in various stages of the drug discovery and development pipeline. Nowadays, CADD presents an efficacious and indispensable tool, widely used in medicinal chemistry, to lead rational drug design and synthesis of novel compounds. In this article, an overview of commonly used CADD approaches from hit identification to lead optimization was presented. Moreover, different aspects of design of multitarget ligands for neuropsychiatric and anti-inflammatory diseases were summarized. Apparently, designing multi-target directed ligands for treatment of various complex diseases may offer better efficacy, and fewer side effects. Antipsychotics that act through aminergic G protein-coupled receptors (GPCRs), especially Dopamine D2 and serotonin 5-HT2A receptors, are the best option for treatment of various symptoms associated with neuropsychiatric disorders. Furthermore, multi-target directed cyclooxygenase-2 (COX-2) and 5-lipoxygenase (5-LOX) inhibitors are also a successful approach to aid the discovery of new anti-inflammatory drugs with fewer side effects. Overall, employing CADD approaches in the process of rational drug design provides a great opportunity for future development, allowing rapid identification of compounds with the optimal polypharmacological profile.","PeriodicalId":39173,"journal":{"name":"Arhiv za Farmaciju","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71198666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Endocrine disrupting mechanisms and effects of pesticides 农药对内分泌的干扰机制和影响

Arhiv za Farmaciju Pub Date : 2021-01-01 DOI: 10.5937/arhfarm71-34291

H. Anlar, M. Bacanlı, N. Başaran

引用次数: 4

Review of machine learning algorithms' application in pharmaceutical technology 机器学习算法在制药技术中的应用综述

Arhiv za Farmaciju Pub Date : 2021-01-01 DOI: 10.5937/arhfarm71-32499

Jelena Đuriš, Ivana Kurćubić, S. Ibrić

{"title":"Review of machine learning algorithms' application in pharmaceutical technology","authors":"Jelena Đuriš, Ivana Kurćubić, S. Ibrić","doi":"10.5937/arhfarm71-32499","DOIUrl":"https://doi.org/10.5937/arhfarm71-32499","url":null,"abstract":"Machine learning algorithms, and artificial intelligence in general, have a wide range of applications in the field of pharmaceutical technology. Starting from the formulation development, through a great potential for integration within the Quality by design framework, these data science tools provide a better understanding of the pharmaceutical formulations and respective processing. Machine learning algorithms can be especially helpful with the analysis of the large volume of data generated by the Process analytical technologies. This paper provides a brief explanation of the artificial neural networks, as one of the most frequently used machine learning algorithms. The process of the network training and testing is described and accompanied with illustrative examples of machine learning tools applied in the context of pharmaceutical formulation development and related technologies, as well as an overview of the future trends. Recently published studies on more sophisticated methods, such as deep neural networks and light gradient boosting machine algorithm, have been described. The interested reader is also referred to several official documents (guidelines) that pave the way for a more structured representation of the machine learning models in their prospective submissions to the regulatory bodies.","PeriodicalId":39173,"journal":{"name":"Arhiv za Farmaciju","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71198657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Developmental toxicity of endocrine-disrupting chemicals: Challenges and future directions 内分泌干扰物的发育毒性:挑战与未来方向

Arhiv za Farmaciju Pub Date : 2021-01-01 DOI: 10.5937/arhfarm71-34457

A. Pizent

引用次数: 1

Non-vitamin K oral anticoagulants (NOACs) in patients with stroke and atrial fibrillation 非维生素K口服抗凝剂(NOACs)在卒中和房颤患者中的应用

Arhiv za Farmaciju Pub Date : 2020-01-01 DOI: 10.5937/arhfarm2005269j

D. Jovanović

引用次数: 0

Pharmaceutical care in Alzheimer's disease 阿尔茨海默病的药物治疗

Arhiv za Farmaciju Pub Date : 2020-01-01 DOI: 10.5937/arhfarm2002069v

Sandra Vezmar-Kovačević

{"title":"Pharmaceutical care in Alzheimer's disease","authors":"Sandra Vezmar-Kovačević","doi":"10.5937/arhfarm2002069v","DOIUrl":"https://doi.org/10.5937/arhfarm2002069v","url":null,"abstract":"Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive memory and cognitive function impairment as well as behavioural and psychiatric disturbances. Pharmaceutical care involves the process of identifying, resolving, and preventing drug-related problems, and it is aimed at improving the patient’s quality of life. AD is usually diagnosed in elderly patients with comorbidities and, consequently, a variety of drug-related problems may occur. Pharmacists should focus on adverse reactions, drug-drug interactions, and adherence in patients with AD. The introduction of acetylcholinesterase inhibitors in treatment may be associated with adverse effects, such as diarrhoea, muscle cramps, fatigue, nausea, vomiting, insomnia, anorexia, headache, and dizziness, which may be transient or require an alternative medication. Use of anticholinergic medications, bradycardia causing medications, antipsychotics and other medications should be assessed carefully because of potential drug-drug interactions with acetylcholinesterase inhibitors, especially rivastigmine. Adherence may be a major drugrelated problem in patients with AD because of the nature of illness and appropriate communication between pharmacists and patients or carers requiring adequate skills and knowledge. Although AD is increasing in prevalence there is a lack of evidence about the impact of pharmaceutical care on the treatment outcomes and quality of life of patients and more research is needed in this area.","PeriodicalId":39173,"journal":{"name":"Arhiv za Farmaciju","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71198866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Degradation kinetics and characterization of degradation products of losartan potassium by LC-MS/MS method 氯沙坦钾的降解动力学及降解产物的LC-MS/MS表征

Arhiv za Farmaciju Pub Date : 2019-01-01 DOI: 10.5937/arhfarm1902080x

V. Dobričić, B. Marković

引用次数: 1

Dyslipidemia in type 2 diabetes mellitus 2型糖尿病的血脂异常

Arhiv za Farmaciju Pub Date : 2019-01-01 DOI: 10.5937/arhfarm1905338s

A. Stefanović, A. Zeljković, J. Vekić, V. Spasojević-Kalimanovska, Z. Jelić-Ivanović, S. Spasić

引用次数: 1