Evidence map›Paper›PMID 41809936›Full record

ArticleInfection and drug resistance2026

Application of Droplet Digital PCR in Sputum Samples in Myasthenia Gravis Patients with Pneumonia.

Manqiqige Su, Yeting Luo, Xiao Huan, Caihua Xi, Lei Yang, Huahua Zhong, Fengtao Liu, Qiran Zhang, Qihui Liu, Xuan Wang and 8 more

Abstract read
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Article in Infection and drug resistance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

18 authors.

Manqiqige SuDepartment of Neurology and Huashan Rare Disease Centre, Huashan Hospital, Shanghai Medical College, National Centre for Neurological Disorders, Fudan University, Shanghai, People's Republic of China.
Yeting LuoDepartment of Neurology, Ganzhou People's Hospital, Nanchang University, Jiangxi, People's Republic of China.ORCID 0009-0003-9103-5427
Xiao HuanDepartment of Neurology and Huashan Rare Disease Centre, Huashan Hospital, Shanghai Medical College, National Centre for Neurological Disorders, Fudan University, Shanghai, People's Republic of China.
Caihua XiDepartment of Critical Care Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Lei YangDepartment of Critical Care Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Huahua ZhongDepartment of Neurology and Huashan Rare Disease Centre, Huashan Hospital, Shanghai Medical College, National Centre for Neurological Disorders, Fudan University, Shanghai, People's Republic of China.
Fengtao LiuDepartment of Neurology and Huashan Rare Disease Centre, Huashan Hospital, Shanghai Medical College, National Centre for Neurological Disorders, Fudan University, Shanghai, People's Republic of China.
Qiran ZhangDepartment of Infectious Diseases, National Medical Centre for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Qihui LiuDepartment of Infectious Diseases, National Medical Centre for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Xuan WangDepartment of Infectious Diseases, National Medical Centre for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Yilei CaoShanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Mengmeng WangDepartment of Infectious Diseases, National Medical Centre for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Fuxia TaDepartment of Infectious Diseases, National Medical Centre for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.ORCID 0009-0000-4736-1848
Bingyao WangDepartment of Infectious Diseases, National Medical Centre for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Jingwen AiDepartment of Infectious Diseases, National Medical Centre for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.ORCID 0000-0002-5152-1557
Chongbo ZhaoDepartment of Neurology and Huashan Rare Disease Centre, Huashan Hospital, Shanghai Medical College, National Centre for Neurological Disorders, Fudan University, Shanghai, People's Republic of China.ORCID 0000-0001-9481-1418
Jianming ZhengDepartment of Infectious Diseases, National Medical Centre for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.ORCID 0000-0003-1471-9078
Sushan LuoDepartment of Neurology and Huashan Rare Disease Centre, Huashan Hospital, Shanghai Medical College, National Centre for Neurological Disorders, Fudan University, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Due to the rapid progression of the pneumonia in patients with Myasthenia gravis (MG), faster pathogen detection techniques are needed. The droplet digital polymerase chain reaction (ddPCR) has the ability to detect pathogens in about 3 h. Thus, this study focused on application of ddPCR in sputum samples in the MG patients with pneumonia and analyzed the association between ddPCR and other laboratory results. Methods: We prospectively enrolled 22 MG inpatients with pneumonia and collected 24 sputum samples. All samples were analyzed using traditional culture, ddPCR and metagenomic next-generation sequencing (mNGS) in parallel. Clinical outcomes during hospitalization were documented. Results: Among the 24 sputum samples collected from 22 MG patients, ddPCR achieved a 100% positivity rate with the identification of bacteria in all 24 samples, while mNGS also demonstrated a high detection rate, identifying bacteria in 23 of 24 samples (95.8%), and additionally detecting viral and fungal pathogens across multiple cases. In 4 patients with negative sputum culture results, pathogens were identified by both ddPCR and mNGS. Conclusion: The ddPCR demonstrated rapid and sensitive identification of predefined bacterial targets and drug-resistance genes, making it suitable for initial diagnostic screening and timely clinical decision-making in MG patients with pneumonia. The speed of ddPCR detection is faster than mNGS and traditional culture, and the results are similar to mNGS and culture, with good consistency.

Indexed as

droplet digital PCRimmunocompromised patientsmetagenomic next-generation sequencingmyasthenia gravispneumonia

Identifiers

PMID41809936
PMCPMC12968028

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.