Metagenomic Next-Generation Sequencing-Assisted Risk Prediction and Stratification of Infections After Kidney Transplantation: A Case Study of COVID-19
The severity of COVID-19 in kidney transplant patients is associated with days of fever before hospitalization, and the levels of CRP and IL-10 at admission, which also alter the abundance of certain species in the sputum microbiome. Therefore, it is necessary to actively monitor the clinical indicators of kidney transplant patients admitted with COVID-19 to reduce the risk of progression to severe disease.
Authors
- Yuxin Lin (ORCID: https://orcid.org/0000-0001-6543-0317)
- Hao Pan (ORCID: https://orcid.org/0000-0002-2049-1842)
- Zheng Zhou (ORCID: https://orcid.org/0000-0003-3351-641X)
- Xin Ye (ORCID: https://orcid.org/0000-0003-2277-5328)
- Liangliang Wang (ORCID: https://orcid.org/0000-0002-8509-7985)
- Yuhua Huang (ORCID: https://orcid.org/0000-0002-0341-0078)
- Hao Jiang (ORCID: https://orcid.org/0000-0001-7955-1363)
- Xuedong Wei (ORCID: https://orcid.org/0000-0003-2000-2620)
- Linkun Hu
- Jiangnan Yang
- Chao Li
Institutions
- Soochow University (CN)
- Government of Jiangsu Province (CN)
- First Affiliated Hospital of Soochow University (CN)
Publication Details
- Journal
- Infection and Drug Resistance
- Published
- 2025-09-01
- DOI
- https://doi.org/10.2147/idr.s521111
- Citations
- 1
- Primary Topic
- COVID-19 Clinical Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.40
Funders
- National Natural Science Foundation of China
- Government of Jiangsu Province
- Natural Science Foundation of Jiangsu Province