以非甾体抗炎药为例,开发工作区域空气中药物含量卫生标准预测新方法

Q4 Engineering
Anton A. Tonshin, Tatiana A. Tkacheva, Svetlana V. Kautina, Margarita I. Golubeva
{"title":"以非甾体抗炎药为例,开发工作区域空气中药物含量卫生标准预测新方法","authors":"Anton A. Tonshin, Tatiana A. Tkacheva, Svetlana V. Kautina, Margarita I. Golubeva","doi":"10.31089/1026-9428-2023-63-9-574-585","DOIUrl":null,"url":null,"abstract":"Introduction. Experts predict the hygienic standards of medicines in Russia in accordance with the methods common to all medicines (MG 1.1.726-98), developed more than 25 years ago on the basis of experimental materials obtained during the rationing of 66 medicines. By 2023, the content of more than 230 medicines of various pharmacological orientation has already been normalized in the air of the working area. Such an array of experimental materials makes it possible to study the relationship between the values of standard toxicological and pharmacological indicators and hygienic standards approved by law, already within the framework of individual pharmacological groups of drugs with the same mechanism of action, as well as to develop new forecasting approaches taking into account the specifics of pharmacological actions.
 The study aims to evaluate existing and develop new computational methods for predicting hygienic standards for the content of medicines in the air of the working area, taking into account the specifics of pharmacological action on the example of a group of nonsteroidal anti-inflammatory drugs.
 Materials and methods. Scientists studied the pharmacological group of nonsteroidal anti-inflammatory drugs. The main method of the study was a multiple correlation and regression analysis of the relationship between the values of hygienic standards and the values of toxicological and pharmacological parameters. As a mathematical model, the authors adopted a double logarithmic model. We evaluated the suitability of the mathematical model by Fisher's F-criterion, the statistical significance of the regression coefficients by the Student's t-criterion, the quality of approximation by the standard deviation, and the accuracy of the calculation by the average multiplicity of differences.
 Results. Experts have identified in a group of 15 non-steroidal anti-inflammatory substances normalized in the air of the working area, a reliable relationship between the values of toxicometry parameters and the values of therapeutic doses, on the one hand, and the values of hygiene standards, on the other. Scientists have developed and selected the most accurate and statistically significant formulas for calculating the safe concentrations of this group of drugs in the air of the working area. We found that the accuracy of the formulas developed by us, taking into account the specifics of the pharmacological action, is higher than that of the formulas from MG 1.1.726-98. From the formulas developed earlier, equations with greater accuracy for the hygienic rationing of nonsteroidal anti-inflammatory drugs have been identified.
 Conclusion. Taking into account the specifics of the pharmacological action of medicines when developing mathematical models for calculating the hygienic standard increases the accuracy of the forecast.","PeriodicalId":35596,"journal":{"name":"Meditsina truda i promyshlennaia ekologiia","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of new methods for predicting hygienic standards for the content of medicines in the air of the working area on the example of non-steroidal anti-inflammatory drugs\",\"authors\":\"Anton A. Tonshin, Tatiana A. Tkacheva, Svetlana V. Kautina, Margarita I. Golubeva\",\"doi\":\"10.31089/1026-9428-2023-63-9-574-585\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction. Experts predict the hygienic standards of medicines in Russia in accordance with the methods common to all medicines (MG 1.1.726-98), developed more than 25 years ago on the basis of experimental materials obtained during the rationing of 66 medicines. By 2023, the content of more than 230 medicines of various pharmacological orientation has already been normalized in the air of the working area. Such an array of experimental materials makes it possible to study the relationship between the values of standard toxicological and pharmacological indicators and hygienic standards approved by law, already within the framework of individual pharmacological groups of drugs with the same mechanism of action, as well as to develop new forecasting approaches taking into account the specifics of pharmacological actions.
 The study aims to evaluate existing and develop new computational methods for predicting hygienic standards for the content of medicines in the air of the working area, taking into account the specifics of pharmacological action on the example of a group of nonsteroidal anti-inflammatory drugs.
 Materials and methods. Scientists studied the pharmacological group of nonsteroidal anti-inflammatory drugs. The main method of the study was a multiple correlation and regression analysis of the relationship between the values of hygienic standards and the values of toxicological and pharmacological parameters. As a mathematical model, the authors adopted a double logarithmic model. We evaluated the suitability of the mathematical model by Fisher's F-criterion, the statistical significance of the regression coefficients by the Student's t-criterion, the quality of approximation by the standard deviation, and the accuracy of the calculation by the average multiplicity of differences.
 Results. Experts have identified in a group of 15 non-steroidal anti-inflammatory substances normalized in the air of the working area, a reliable relationship between the values of toxicometry parameters and the values of therapeutic doses, on the one hand, and the values of hygiene standards, on the other. Scientists have developed and selected the most accurate and statistically significant formulas for calculating the safe concentrations of this group of drugs in the air of the working area. We found that the accuracy of the formulas developed by us, taking into account the specifics of the pharmacological action, is higher than that of the formulas from MG 1.1.726-98. From the formulas developed earlier, equations with greater accuracy for the hygienic rationing of nonsteroidal anti-inflammatory drugs have been identified.
 Conclusion. Taking into account the specifics of the pharmacological action of medicines when developing mathematical models for calculating the hygienic standard increases the accuracy of the forecast.\",\"PeriodicalId\":35596,\"journal\":{\"name\":\"Meditsina truda i promyshlennaia ekologiia\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Meditsina truda i promyshlennaia ekologiia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31089/1026-9428-2023-63-9-574-585\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Meditsina truda i promyshlennaia ekologiia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31089/1026-9428-2023-63-9-574-585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

摘要

介绍。专家根据25年前在66种药物配给期间获得的实验材料,根据所有药物共同的方法(MG 1.1.726-98)预测俄罗斯药品的卫生标准。到2023年,工作区域空气中各种药理学取向的230多种药物含量已实现规范化。这样一系列的实验材料使得有可能在具有相同作用机制的药物的单个药理学组的框架内研究标准毒理学和药理学指标值与法律批准的卫生标准之间的关系,并开发考虑到药理学作用具体情况的新的预测方法。该研究旨在评估现有的并开发新的计算方法来预测工作区域空气中药物含量的卫生标准,同时考虑到一组非甾体抗炎药的药理作用的具体情况。 材料和方法。科学家们研究了非甾体类抗炎药的药理学组。研究的主要方法是对卫生标准值与毒理学、药理学参数值之间的关系进行多元相关和回归分析。作为数学模型,作者采用了双对数模型。我们用Fisher’s f准则评价数学模型的适宜性,用Student’st准则评价回归系数的统计显著性,用标准差评价近似质量,用平均差数评价计算精度。 结果。专家们在工作区域空气中标准化的一组15种非甾体抗炎物质中确定了毒性测定参数值与治疗剂量值以及卫生标准值之间的可靠关系。科学家已经开发并选择了最准确和统计上有意义的公式来计算工作区空气中这组药物的安全浓度。我们发现,考虑到药理作用的特殊性,我们开发的配方的准确性高于MG 1.1.726-98的配方。从早期开发的公式中,已经确定了非甾体类抗炎药卫生定量配给的更精确的方程。 结论。在开发用于计算卫生标准的数学模型时,考虑到药物药理作用的具体情况,可以提高预测的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of new methods for predicting hygienic standards for the content of medicines in the air of the working area on the example of non-steroidal anti-inflammatory drugs
Introduction. Experts predict the hygienic standards of medicines in Russia in accordance with the methods common to all medicines (MG 1.1.726-98), developed more than 25 years ago on the basis of experimental materials obtained during the rationing of 66 medicines. By 2023, the content of more than 230 medicines of various pharmacological orientation has already been normalized in the air of the working area. Such an array of experimental materials makes it possible to study the relationship between the values of standard toxicological and pharmacological indicators and hygienic standards approved by law, already within the framework of individual pharmacological groups of drugs with the same mechanism of action, as well as to develop new forecasting approaches taking into account the specifics of pharmacological actions. The study aims to evaluate existing and develop new computational methods for predicting hygienic standards for the content of medicines in the air of the working area, taking into account the specifics of pharmacological action on the example of a group of nonsteroidal anti-inflammatory drugs. Materials and methods. Scientists studied the pharmacological group of nonsteroidal anti-inflammatory drugs. The main method of the study was a multiple correlation and regression analysis of the relationship between the values of hygienic standards and the values of toxicological and pharmacological parameters. As a mathematical model, the authors adopted a double logarithmic model. We evaluated the suitability of the mathematical model by Fisher's F-criterion, the statistical significance of the regression coefficients by the Student's t-criterion, the quality of approximation by the standard deviation, and the accuracy of the calculation by the average multiplicity of differences. Results. Experts have identified in a group of 15 non-steroidal anti-inflammatory substances normalized in the air of the working area, a reliable relationship between the values of toxicometry parameters and the values of therapeutic doses, on the one hand, and the values of hygiene standards, on the other. Scientists have developed and selected the most accurate and statistically significant formulas for calculating the safe concentrations of this group of drugs in the air of the working area. We found that the accuracy of the formulas developed by us, taking into account the specifics of the pharmacological action, is higher than that of the formulas from MG 1.1.726-98. From the formulas developed earlier, equations with greater accuracy for the hygienic rationing of nonsteroidal anti-inflammatory drugs have been identified. Conclusion. Taking into account the specifics of the pharmacological action of medicines when developing mathematical models for calculating the hygienic standard increases the accuracy of the forecast.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Meditsina truda i promyshlennaia ekologiia
Meditsina truda i promyshlennaia ekologiia Medicine-Public Health, Environmental and Occupational Health
CiteScore
0.90
自引率
0.00%
发文量
80
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信