非结核分枝杆菌肺病与肺结核相关因素的研究:倾向得分匹配分析

IF 2.9 3区 医学 Q2 INFECTIOUS DISEASES Infection and Drug Resistance Pub Date : 2024-07-23 DOI:10.2147/idr.s467257
Wei Zhang, Haiqing Liu, Tuantuan Li, Ying Jiang, Xiaoyu Cao, Li Chen, Lili Zhou
{"title":"非结核分枝杆菌肺病与肺结核相关因素的研究:倾向得分匹配分析","authors":"Wei Zhang, Haiqing Liu, Tuantuan Li, Ying Jiang, Xiaoyu Cao, Li Chen, Lili Zhou","doi":"10.2147/idr.s467257","DOIUrl":null,"url":null,"abstract":"<strong>Objective:</strong> Investigate the differences in clinical manifestations, imaging features, and associated inflammatory markers between Nontuberculous Mycobacterial Pulmonary Disease (NTM-PD) and Pulmonary Tuberculosis (PTB), identify potential risk factors for NTM-PD, and establish a logistic regression model to evaluate its diagnostic value.<br/><strong>Methods:</strong> Baseline data were collected from 145 patients with NTM-PD and 206 patients with PTB. Propensity score matching (PSM) was utilized to achieve a 1:1 match between the two groups, resulting in 103 matched pairs. The differences in comorbidities, imaging features, and inflammatory markers were compared between the two groups. Multivariate binary logistic regression analysis was conducted to identify independent influencing factors, and the diagnostic value of the established model was evaluated.<br/><strong>Results:</strong> After matching, significant differences were observed between the NTM-PD group and the PTB group in terms of diabetes, bronchiectasis, chronic obstructive pulmonary disease(COPD), cystic and columnar changes, lung cavity presentation, and monocyte percentage (MONO%), lymphocyte count (LYMPH&amp;num), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) (<em>P&lt;</em> 0.05). Logistic regression analysis confirmed that diabetes, bronchiectasis, COPD, and lung cavities were risk factors for NTM-PD. The established regression analysis model was analyzed by the Receiver Operating Characteristic (ROC) curve, the Area Under the Curve (AUC) was obtained as 0.795 (<em>P&lt;</em> 0.001, 95% CI 0.734– 0.857). At a Youden index of 0.505, the sensitivity was 84.5% and the specificity was 66.6%. The Hosmer-Lemeshow test was used to evaluate the model’s calibration, with a chi-square value of 11.023 and <em>P</em>=0.200&gt; 0.05, indicating no significant difference between predicted and observed values.<br/><strong>Conclusion:</strong> For patients without diabetes but with bronchiectasis, COPD, and imaging characteristics of lung cavities, a high level of vigilance and active differential diagnosis for NTM-PD should be exercised. Given that the clinical manifestations of NTM-PD are similar to those of PTB, a detailed differential diagnosis is necessary during the diagnostic process to avoid misdiagnosis.<br/><br/><strong>Keywords:</strong> nontuberculous mycobacterial pulmonary disease, pulmonary tuberculosis, propensity score matching<br/>","PeriodicalId":13577,"journal":{"name":"Infection and Drug Resistance","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Study of Associated Factors for Non-Tuberculous Mycobacterial Pulmonary Disease Compared to Pulmonary Tuberculosis: A Propensity Score Matching Analysis\",\"authors\":\"Wei Zhang, Haiqing Liu, Tuantuan Li, Ying Jiang, Xiaoyu Cao, Li Chen, Lili Zhou\",\"doi\":\"10.2147/idr.s467257\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong>Objective:</strong> Investigate the differences in clinical manifestations, imaging features, and associated inflammatory markers between Nontuberculous Mycobacterial Pulmonary Disease (NTM-PD) and Pulmonary Tuberculosis (PTB), identify potential risk factors for NTM-PD, and establish a logistic regression model to evaluate its diagnostic value.<br/><strong>Methods:</strong> Baseline data were collected from 145 patients with NTM-PD and 206 patients with PTB. Propensity score matching (PSM) was utilized to achieve a 1:1 match between the two groups, resulting in 103 matched pairs. The differences in comorbidities, imaging features, and inflammatory markers were compared between the two groups. Multivariate binary logistic regression analysis was conducted to identify independent influencing factors, and the diagnostic value of the established model was evaluated.<br/><strong>Results:</strong> After matching, significant differences were observed between the NTM-PD group and the PTB group in terms of diabetes, bronchiectasis, chronic obstructive pulmonary disease(COPD), cystic and columnar changes, lung cavity presentation, and monocyte percentage (MONO%), lymphocyte count (LYMPH&amp;num), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) (<em>P&lt;</em> 0.05). Logistic regression analysis confirmed that diabetes, bronchiectasis, COPD, and lung cavities were risk factors for NTM-PD. The established regression analysis model was analyzed by the Receiver Operating Characteristic (ROC) curve, the Area Under the Curve (AUC) was obtained as 0.795 (<em>P&lt;</em> 0.001, 95% CI 0.734– 0.857). At a Youden index of 0.505, the sensitivity was 84.5% and the specificity was 66.6%. The Hosmer-Lemeshow test was used to evaluate the model’s calibration, with a chi-square value of 11.023 and <em>P</em>=0.200&gt; 0.05, indicating no significant difference between predicted and observed values.<br/><strong>Conclusion:</strong> For patients without diabetes but with bronchiectasis, COPD, and imaging characteristics of lung cavities, a high level of vigilance and active differential diagnosis for NTM-PD should be exercised. Given that the clinical manifestations of NTM-PD are similar to those of PTB, a detailed differential diagnosis is necessary during the diagnostic process to avoid misdiagnosis.<br/><br/><strong>Keywords:</strong> nontuberculous mycobacterial pulmonary disease, pulmonary tuberculosis, propensity score matching<br/>\",\"PeriodicalId\":13577,\"journal\":{\"name\":\"Infection and Drug Resistance\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infection and Drug Resistance\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/idr.s467257\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infection and Drug Resistance","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/idr.s467257","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0

摘要

目的调查非结核分枝杆菌肺病(NTM-PD)和肺结核(PTB)在临床表现、影像学特征和相关炎症标志物方面的差异,确定NTM-PD的潜在风险因素,并建立逻辑回归模型评估其诊断价值:收集了 145 名 NTM-PD 患者和 206 名 PTB 患者的基线数据。采用倾向得分匹配法(PSM)实现两组患者 1:1 的匹配,最终匹配出 103 对患者。比较了两组患者在合并症、影像学特征和炎症标志物方面的差异。进行了多变量二元逻辑回归分析,以确定独立的影响因素,并评估了所建立模型的诊断价值:匹配后,NTM-PD 组与 PTB 组在糖尿病、支气管扩张、慢性阻塞性肺疾病(COPD)、囊性和柱状改变、肺空洞表现以及单核细胞百分比(MONO%)、淋巴细胞计数(LYMPH&num)、血小板与淋巴细胞比值(PLR)和淋巴细胞与单核细胞比值(LMR)等方面存在显著差异(P< 0.05)。逻辑回归分析证实,糖尿病、支气管扩张、慢性阻塞性肺病和肺空洞是导致 NTM-PD 的危险因素。对建立的回归分析模型进行了接收者工作特征曲线(ROC)分析,得出曲线下面积(AUC)为 0.795(P< 0.001,95% CI 0.734-0.857)。尤登指数为 0.505 时,灵敏度为 84.5%,特异度为 66.6%。Hosmer-Lemeshow检验用于评估模型的校准,秩方值为11.023,P=0.200> 0.05,表明预测值与观察值之间无显著差异:对于无糖尿病但伴有支气管扩张、慢性阻塞性肺病和肺空洞影像学特征的患者,应高度警惕并积极鉴别诊断NTM-PD。鉴于非结核分枝杆菌肺病的临床表现与肺结核相似,在诊断过程中必须进行详细的鉴别诊断,以避免误诊。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The Study of Associated Factors for Non-Tuberculous Mycobacterial Pulmonary Disease Compared to Pulmonary Tuberculosis: A Propensity Score Matching Analysis
Objective: Investigate the differences in clinical manifestations, imaging features, and associated inflammatory markers between Nontuberculous Mycobacterial Pulmonary Disease (NTM-PD) and Pulmonary Tuberculosis (PTB), identify potential risk factors for NTM-PD, and establish a logistic regression model to evaluate its diagnostic value.
Methods: Baseline data were collected from 145 patients with NTM-PD and 206 patients with PTB. Propensity score matching (PSM) was utilized to achieve a 1:1 match between the two groups, resulting in 103 matched pairs. The differences in comorbidities, imaging features, and inflammatory markers were compared between the two groups. Multivariate binary logistic regression analysis was conducted to identify independent influencing factors, and the diagnostic value of the established model was evaluated.
Results: After matching, significant differences were observed between the NTM-PD group and the PTB group in terms of diabetes, bronchiectasis, chronic obstructive pulmonary disease(COPD), cystic and columnar changes, lung cavity presentation, and monocyte percentage (MONO%), lymphocyte count (LYMPH&num), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) (P< 0.05). Logistic regression analysis confirmed that diabetes, bronchiectasis, COPD, and lung cavities were risk factors for NTM-PD. The established regression analysis model was analyzed by the Receiver Operating Characteristic (ROC) curve, the Area Under the Curve (AUC) was obtained as 0.795 (P< 0.001, 95% CI 0.734– 0.857). At a Youden index of 0.505, the sensitivity was 84.5% and the specificity was 66.6%. The Hosmer-Lemeshow test was used to evaluate the model’s calibration, with a chi-square value of 11.023 and P=0.200> 0.05, indicating no significant difference between predicted and observed values.
Conclusion: For patients without diabetes but with bronchiectasis, COPD, and imaging characteristics of lung cavities, a high level of vigilance and active differential diagnosis for NTM-PD should be exercised. Given that the clinical manifestations of NTM-PD are similar to those of PTB, a detailed differential diagnosis is necessary during the diagnostic process to avoid misdiagnosis.

Keywords: nontuberculous mycobacterial pulmonary disease, pulmonary tuberculosis, propensity score matching
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
Infection and Drug Resistance
Infection and Drug Resistance Medicine-Pharmacology (medical)
CiteScore
5.60
自引率
7.70%
发文量
826
审稿时长
16 weeks
期刊介绍: About Journal Editors Peer Reviewers Articles Article Publishing Charges Aims and Scope Call For Papers ISSN: 1178-6973 Editor-in-Chief: Professor Suresh Antony An international, peer-reviewed, open access journal that focuses on the optimal treatment of infection (bacterial, fungal and viral) and the development and institution of preventative strategies to minimize the development and spread of resistance.
期刊最新文献
A Real-World Retrospective Study on the Efficacy and Safety of Four Antiviral Drugs for Hospitalized COVID-19 Patients: Nirmatrelvir/Ritonavir, Simnotrelvir/Ritonavir, Molnupiravir and Azvudine Dissemination of blaNDM-5 Driven by Horizontal Transfer of IncFIA Plasmid Between Escherichia coli and Klebsiella pneumoniae Co-Isolated from a Patient’s Ascitic Fluid Mupirocin for Skin Infection: Clinical Experience from China COVID-19 Vaccine Uptake and Factors Associated Among Pregnant Women in Mogadishu, Somalia Comparative Evaluation of Diagnostic Performance: Standard E TB Feron ELISA vs QuantiFERON-TB Gold Plus for Latent Tuberculosis Infection Detection in Diverse Risk Groups in Bangladesh
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1