Clinical Characteristics and Predicting Disease Severity in Chlamydia psittaci Infection Based on Metagenomic Next-Generation Sequencing
The study underscores the efficacy of mNGS as a robust diagnostic tool for detecting Chlamydia psittaci, which can simultaneously detect other pathogens and guide clinical treatment. Severe patients exhibit significant inflammatory imbalances and lymphocyte depletion. A predictive model based on clinical and laboratory data at admission can effectively guide early clinical intervention.
Authors
- Mingzhu Huang (ORCID: https://orcid.org/0000-0002-0437-5737)
- Wenxin Qu
- Shufa Zheng (ORCID: https://orcid.org/0000-0003-2536-1008)
- F. Richard Yu (ORCID: https://orcid.org/0000-0003-1006-7594)
- Dan Zhang (ORCID: https://orcid.org/0000-0002-1111-1721)
- Yuefeng Wang (ORCID: https://orcid.org/0000-0002-0029-3988)
- Dongsheng Han (ORCID: https://orcid.org/0009-0007-9711-2891)
- Yifei Shen (ORCID: https://orcid.org/0000-0003-4745-9145)
- Yun Lu (ORCID: https://orcid.org/0000-0003-2939-232X)
- Qianda Zou
Institutions
- Shaoxing City Women and Children Hospital (CN)
- Children's Hospital of Zhejiang University (CN)
- First Affiliated Hospital Zhejiang University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Infection and Drug Resistance
- Published
- 2025-02-01
- DOI
- https://doi.org/10.2147/idr.s509879
- Citations
- 7
- Primary Topic
- Reproductive tract infections research
- Type
- article
- Field-Weighted Citation Impact
- 8.28
Funders
- Zhejiang University
- Natural Science Foundation of Zhejiang Province