Clinical performance of BALF droplet digital PCR for differential diagnosis of Pneumocystis jirovecii pneumonia and Pneumocystis jirovecii colonization.

Colonization Mortality Pneumocystis jirovecii ddPCR

Journal

Diagnostic microbiology and infectious disease
ISSN: 1879-0070
Titre abrégé: Diagn Microbiol Infect Dis
Pays: United States
ID NLM: 8305899

Informations de publication

Date de publication:
31 Dec 2023
Historique:
received: 15 07 2023
revised: 24 09 2023
accepted: 27 12 2023
medline: 8 1 2024
pubmed: 8 1 2024
entrez: 7 1 2024
Statut: aheadofprint

Résumé

Accurate differentiation between Pneumocystis jirovecii (Pj) infection and colonization is crucial for effective treatment. From September 2016 to June 2022, 89 immunocompromised patients with unexplained lung infiltrates and clinical suspicion of Pj pneumonia were enrolled at Peking University People's Hospital. Bronchoalveolar lavage fluid (BALF) of these patients were detected by quantitative PCR (qPCR) and droplet digital PCR (ddPCR). The performance of ddPCR was superior to qPCR in detecting Pj infection. Area under the curve was 0.97 (95 %CI: 0.94-1) for ddPCR of the BALF in all patients. The optimal threshold value for discriminating Pj infection from colonization by ddPCR was 13.98 copies/test, with a sensitivity of 97.96 %, specificity of 85.71 %. No obvious correlation between ddPCR copy number and disease severity was observed. BALF ddPCR exhibits robust potential in detecting Pj and effectively discriminating colonization and infection.

Sections du résumé

BACKGROUND BACKGROUND
Accurate differentiation between Pneumocystis jirovecii (Pj) infection and colonization is crucial for effective treatment.
METHODS METHODS
From September 2016 to June 2022, 89 immunocompromised patients with unexplained lung infiltrates and clinical suspicion of Pj pneumonia were enrolled at Peking University People's Hospital. Bronchoalveolar lavage fluid (BALF) of these patients were detected by quantitative PCR (qPCR) and droplet digital PCR (ddPCR).
RESULTS RESULTS
The performance of ddPCR was superior to qPCR in detecting Pj infection. Area under the curve was 0.97 (95 %CI: 0.94-1) for ddPCR of the BALF in all patients. The optimal threshold value for discriminating Pj infection from colonization by ddPCR was 13.98 copies/test, with a sensitivity of 97.96 %, specificity of 85.71 %. No obvious correlation between ddPCR copy number and disease severity was observed.
CONCLUSION CONCLUSIONS
BALF ddPCR exhibits robust potential in detecting Pj and effectively discriminating colonization and infection.

Identifiants

DOI: 10.1016/j.diagmicrobio.2023.116168 PMID: 38184984
pubmed: 38184984
pii: S0732-8893(23)00277-8
doi: 10.1016/j.diagmicrobio.2023.116168
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

116168

Informations de copyright

Copyright © 2023. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no conflict of interest.

Auteurs

Wenjie Bian (W)

Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, No. 11, Xizhimen South Street, Beijing, China.

Ying Shang (Y)

Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, No. 11, Xizhimen South Street, Beijing, China.

Lili Zhao (L)

Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, No. 11, Xizhimen South Street, Beijing, China.

Keqiang Wang (K)

Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, No. 11, Xizhimen South Street, Beijing, China.

Ran Li (R)

Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, No. 11, Xizhimen South Street, Beijing, China.

Yanwen Chen (Y)

Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, No. 11, Xizhimen South Street, Beijing, China.

Xinqian Ma (X)

Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, No. 11, Xizhimen South Street, Beijing, China.

Yukun He (Y)

Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, No. 11, Xizhimen South Street, Beijing, China.

Wenyi Yu (W)

Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, No. 11, Xizhimen South Street, Beijing, China.

Xi Chen (X)

Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, No. 11, Xizhimen South Street, Beijing, China.

Chunyu Liu (C)

Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, No. 11, Xizhimen South Street, Beijing, China.

Wentao Ni (W)

Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, No. 11, Xizhimen South Street, Beijing, China.

Zhancheng Gao (Z)

Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, No. 11, Xizhimen South Street, Beijing, China. Electronic address: zcgao@bjmu.edu.cn.

Classifications MeSH