评估间质性肺病患者肺纤维化进展的概率以确定进一步的治疗策略

Q4 Medicine
A. A. Lukashevich, O. A. Yudina, L. S. Bogush, E. I. Davidovskaya, M. I. Dyusmikeeva, A. F. Belko
{"title":"评估间质性肺病患者肺纤维化进展的概率以确定进一步的治疗策略","authors":"A. A. Lukashevich, O. A. Yudina, L. S. Bogush, E. I. Davidovskaya, M. I. Dyusmikeeva, A. F. Belko","doi":"10.58838/2075-1230-2024-102-3-34-40","DOIUrl":null,"url":null,"abstract":"The objective: to develop a method for assessing the probability of progression of pulmonary fibrosis in patients with interstitial lung diseases in order to determine further treatment tactics.Subjects and Methods. 80 patients with interstitial lung diseases underwent lung biopsies with consequent morphological and immunohistochemical tests. The group with progressive fibrosis consisted of 42 patients. The prognostic model was built using the binary logistic regression method.Results. A statistical model was developed in the form of a regression equation consisting of 3 parameters: the presence of a morphological pattern of interstitial fibrosis; intensity of CTGF expression; and intensity of TGF-β expression. This mathematical model makes it possible to predict the progression of pulmonary fibrosis in patients with interstitial lung diseases with 83.3% sensitivity and 84.2% specificity.","PeriodicalId":37828,"journal":{"name":"Tuberculosis and Lung Diseases","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of Probability of Pulmonary Fibrosis Progression in Patients with Interstitial Lung Diseases to Determine Further Treatment Tactics\",\"authors\":\"A. A. Lukashevich, O. A. Yudina, L. S. Bogush, E. I. Davidovskaya, M. I. Dyusmikeeva, A. F. Belko\",\"doi\":\"10.58838/2075-1230-2024-102-3-34-40\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The objective: to develop a method for assessing the probability of progression of pulmonary fibrosis in patients with interstitial lung diseases in order to determine further treatment tactics.Subjects and Methods. 80 patients with interstitial lung diseases underwent lung biopsies with consequent morphological and immunohistochemical tests. The group with progressive fibrosis consisted of 42 patients. The prognostic model was built using the binary logistic regression method.Results. A statistical model was developed in the form of a regression equation consisting of 3 parameters: the presence of a morphological pattern of interstitial fibrosis; intensity of CTGF expression; and intensity of TGF-β expression. This mathematical model makes it possible to predict the progression of pulmonary fibrosis in patients with interstitial lung diseases with 83.3% sensitivity and 84.2% specificity.\",\"PeriodicalId\":37828,\"journal\":{\"name\":\"Tuberculosis and Lung Diseases\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tuberculosis and Lung Diseases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.58838/2075-1230-2024-102-3-34-40\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tuberculosis and Lung Diseases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.58838/2075-1230-2024-102-3-34-40","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

摘要

目的:开发一种评估间质性肺病患者肺纤维化进展概率的方法,以确定进一步的治疗策略。80名间质性肺病患者接受了肺活检,并进行了形态学和免疫组化检测。进行性纤维化组包括 42 名患者。采用二元逻辑回归法建立预后模型。以回归方程的形式建立的统计模型由 3 个参数组成:是否存在间质纤维化的形态模式;CTGF 的表达强度;TGF-β 的表达强度。该数学模型可预测肺间质疾病患者肺纤维化的进展,灵敏度为 83.3%,特异度为 84.2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Probability of Pulmonary Fibrosis Progression in Patients with Interstitial Lung Diseases to Determine Further Treatment Tactics
The objective: to develop a method for assessing the probability of progression of pulmonary fibrosis in patients with interstitial lung diseases in order to determine further treatment tactics.Subjects and Methods. 80 patients with interstitial lung diseases underwent lung biopsies with consequent morphological and immunohistochemical tests. The group with progressive fibrosis consisted of 42 patients. The prognostic model was built using the binary logistic regression method.Results. A statistical model was developed in the form of a regression equation consisting of 3 parameters: the presence of a morphological pattern of interstitial fibrosis; intensity of CTGF expression; and intensity of TGF-β expression. This mathematical model makes it possible to predict the progression of pulmonary fibrosis in patients with interstitial lung diseases with 83.3% sensitivity and 84.2% specificity.
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
Tuberculosis and Lung Diseases
Tuberculosis and Lung Diseases Medicine-Pulmonary and Respiratory Medicine
CiteScore
1.20
自引率
0.00%
发文量
88
审稿时长
8 weeks
期刊介绍: The Journal is aimed for professional development of researchers, doctors, teachers of medical universities and training institutions. The Journal focuses on the presentation of results of research, case studies, issues of differential diagnostics and treatment in the phthisiologist’s practice, national programs on tuberculosis control in the Russian Federation, WHO strategies, discussion of prevention issues to stop transmission of TB/HIVco-infection, and extrapulmonary tuberculosis.
×
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