Clinical evaluation of droplet digital PCR in suspected invasive pulmonary aspergillosis

IF 2.9 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Clinica Chimica Acta Pub Date : 2025-03-01 Epub Date: 2025-01-23 DOI:10.1016/j.cca.2025.120153
Yang Liu , Qiuping Tang , Sishi Tang , Hengjian Huang , Lanxi Kou , Yi Zhou , Hongxia Ruan , Yu Yuan , Chao He , Binwu Ying
{"title":"Clinical evaluation of droplet digital PCR in suspected invasive pulmonary aspergillosis","authors":"Yang Liu ,&nbsp;Qiuping Tang ,&nbsp;Sishi Tang ,&nbsp;Hengjian Huang ,&nbsp;Lanxi Kou ,&nbsp;Yi Zhou ,&nbsp;Hongxia Ruan ,&nbsp;Yu Yuan ,&nbsp;Chao He ,&nbsp;Binwu Ying","doi":"10.1016/j.cca.2025.120153","DOIUrl":null,"url":null,"abstract":"<div><div>Invasive pulmonary aspergillosis (IPA), the most common fungal infection, is associated with high mortality of affected patients. Traditional diagnostic methods exhibit limited sensitivity and specificity, raising big challenges for precise management of the patients. There is thus an urgent need to find out a timely and accurate diagnostic method in clinical practice. In this study, 163 patients suspected with IPA were enrolled. The medical data of the patients were retrieved from hospital information system. The 158 patients with complete data were classified into an IPA group with 122 cases (58 putative IPA, 19 probable IPA, and 45 possible IPA cases) and a non-IPA group with 36 cases. Cell-free DNA (cfDNA) of bronchoalveolar lavage fluid (BALF) or plasma samples was detected via a droplet digital PCR (ddPCR) assay targeting <em>Aspergillus</em> spp. Overall, this ddPCR assay demonstrated a higher sensitivity of 50.8 % for IPA diagnosis, compared with that of fungal culture (44.3 %) and smear test (10.7 %). Moreover, its sensitivity was higher in the IPA group (73.1 %) and putative IPA subgroup (88.2 %) when using BALF samples, compared with those using plasma samples (<em>P</em> &lt; 0.01). It achieved a high specificity of 94.4 % for IPA diagnosis, with significant variations in cfDNA copy numbers across the subgroups (<em>P</em> &lt; 0.05). In addition, the ddPCR results were associated with the prognosis of the patients at the discharge (<em>P</em> &lt; 0.05). In conclusion, ddPCR assay demonstrated a good performance for IPA diagnosis when using BALF samples, especially for putative IPA. The ddPCR results could be integrated with clinical data to improve prognostic prediction.</div></div>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":"569 ","pages":"Article 120153"},"PeriodicalIF":2.9000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinica Chimica Acta","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0009898125000324","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/23 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Invasive pulmonary aspergillosis (IPA), the most common fungal infection, is associated with high mortality of affected patients. Traditional diagnostic methods exhibit limited sensitivity and specificity, raising big challenges for precise management of the patients. There is thus an urgent need to find out a timely and accurate diagnostic method in clinical practice. In this study, 163 patients suspected with IPA were enrolled. The medical data of the patients were retrieved from hospital information system. The 158 patients with complete data were classified into an IPA group with 122 cases (58 putative IPA, 19 probable IPA, and 45 possible IPA cases) and a non-IPA group with 36 cases. Cell-free DNA (cfDNA) of bronchoalveolar lavage fluid (BALF) or plasma samples was detected via a droplet digital PCR (ddPCR) assay targeting Aspergillus spp. Overall, this ddPCR assay demonstrated a higher sensitivity of 50.8 % for IPA diagnosis, compared with that of fungal culture (44.3 %) and smear test (10.7 %). Moreover, its sensitivity was higher in the IPA group (73.1 %) and putative IPA subgroup (88.2 %) when using BALF samples, compared with those using plasma samples (P < 0.01). It achieved a high specificity of 94.4 % for IPA diagnosis, with significant variations in cfDNA copy numbers across the subgroups (P < 0.05). In addition, the ddPCR results were associated with the prognosis of the patients at the discharge (P < 0.05). In conclusion, ddPCR assay demonstrated a good performance for IPA diagnosis when using BALF samples, especially for putative IPA. The ddPCR results could be integrated with clinical data to improve prognostic prediction.

Abstract Image

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
液滴数字PCR检测疑似侵袭性肺曲菌病的临床评价。
侵袭性肺曲霉病(IPA)是最常见的真菌感染,与患者的高死亡率有关。传统的诊断方法的敏感性和特异性有限,给患者的精确治疗带来了很大的挑战。因此,迫切需要在临床实践中找到一种及时准确的诊断方法。本研究纳入163例疑似IPA患者。从医院信息系统中检索患者的医疗数据。158例资料完整的患者分为IPA组122例(推测IPA 58例,可能IPA 19例,可能IPA 45例)和非IPA组36例。通过针对曲霉的滴状数字PCR (ddPCR)检测支气管肺泡灌洗液(BALF)或血浆样本的游离DNA (cfDNA),总体而言,与真菌培养(44.3% %)和涂片试验(10.7 %)相比,该ddPCR检测对IPA的诊断灵敏度为50.8 %。此外,与使用血浆样品相比,BALF样品在IPA组(73.1 %)和推定IPA亚组(88.2 %)中的敏感性更高
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
期刊最新文献
Convergence of multiplexed immunosensors, nanotechnology, and AI for early pancreatic cancer diagnosis Beyond cholesterol: targeting inflammatory biomarkers in cardiovascular disease Extracellular vesicles in cardiovascular disease: Biomarkers, therapeutic applications, and drug delivery strategies Metabolomics biomarkers for acute respiratory distress syndrome: a systematic review and meta-analysis Recommendations for establishing metrological traceability for in vitro diagnostic measurement procedures intended to be used for whole blood samples
×
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学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
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