Li Ping, Chen Yuxia, Cao Xuelei, Wang Zheying, Sai Lintao, Wang Lili
Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, Jinan, Shandong, China.
Microbiol Spectr. 2025 Jul;13(7):e0012125. doi: 10.1128/spectrum.00121-25. Epub 2025 Jun 9.
Early recognition and timely diagnosis are crucial for improving the clinical outcome of invasive pulmonary aspergillosis (IPA) patients. Metagenomic next-generation sequencing (mNGS) shows immense advantages in identifying responsible complex pathogens, especially with the gradual ease of COVID-19 control policies in China since 2022. A total of 327 patients with suspected infection in non-neutropenic populations were enrolled in the current study. The diagnostic efficacy with mNGS and conventional microbial tests (CMTs) in suspected IPA patients was assessed, and the incidence and risk factors for infection were also investigated. mNGS exhibited excellent performance in detecting . The sensitivity of mNGS (80.58%) was superior to that of CMTs, as demonstrated by comparisons with smears (22.30%, < 0.001), culture (30.94%, < 0.001), serum GM (22.62%, < 0.001), BALF GM (55.40%, < 0.001), and combined CMTs (61.87%, < 0.001). The results of mNGS caused a direct shift in the management of 212 (64.8%) positive effect patients, making a clear diagnosis and instructing antifungal therapy. Notably, in addition to the common risk factors, the patients with a history of COVID-19 infection were more prone to IPA. The occurrence of IPA increased significantly with the gradual ease of COVID-19 control policies (47.62% vs 30.21%, = 0.004). Meanwhile, mixed infections were commonly observed in IPA patients, with and being the most common co-pathogens. Our study demonstrated that mNGS might present a feasible and remarkably sensitive approach for detecting , thereby serving as a valuable auxiliary tool for CMTs.
Our study is the first to focus on infection after the COVID-19 pandemic and find that (i) mNGS is a feasible and highly sensitive method for detecting post-COVID-19 pandemic, thereby serving as a valuable auxiliary tool for CMTs. (ii) mNGS has the potential to revolutionize the management of fungal infections. (iii) The history of COVID-19 infection is an independent risk factor for IPA. Identification of this risk factor for IPA may raise clinical attention and require careful follow-up of high-risk individuals post-COVID-19 infection. (iv) Mixed infections were commonly observed in IPA patients, with and being the most common co-pathogens.
早期识别和及时诊断对于改善侵袭性肺曲霉病(IPA)患者的临床结局至关重要。宏基因组下一代测序(mNGS)在识别致病的复杂病原体方面显示出巨大优势,尤其是自2022年以来中国新冠疫情防控政策逐步放宽之后。本研究共纳入了327例非中性粒细胞减少人群中疑似感染的患者。评估了mNGS和传统微生物检测(CMTs)对疑似IPA患者的诊断效能,同时还调查了感染的发生率及危险因素。mNGS在检测……方面表现出色。mNGS的敏感性(80.58%)优于CMTs,与涂片(22.30%,P<0.001)、培养(30.94%,P<0.001)、血清GM(22.62%,P<0.001)、支气管肺泡灌洗GM(55.40%,P<0.001)以及联合CMTs(61.87%,P<0.001)相比均有显著差异。mNGS的检测结果使212例(64.8%)阳性效应患者的治疗管理发生了直接转变,明确了诊断并指导了抗真菌治疗。值得注意的是,除了常见危险因素外,有新冠病毒感染史的患者更易发生IPA。随着新冠疫情防控政策的逐步放宽,IPA的发生率显著增加(47.62%对30.21%,P = 0.004)。同时,IPA患者中常见混合感染,……和……是最常见的合并病原体。我们的研究表明,mNGS可能是一种检测……的可行且极为敏感的方法,从而可作为CMTs的有价值辅助工具。
我们的研究首次聚焦于新冠疫情大流行后的……感染,并发现:(i)mNGS是一种在新冠疫情大流行后检测……的可行且高度敏感的方法,从而可作为CMTs的有价值辅助工具。(ii)mNGS有潜力彻底改变真菌感染的管理方式。(iii)新冠病毒感染史是IPA的独立危险因素。识别出这一IPA危险因素可能会引起临床关注,并且需要对新冠病毒感染后的高危个体进行密切随访。(iv)IPA患者中常见混合感染,……和……是最常见的合并病原体。