Retrospective cohort analysis on predicting pulmonary fibrosis in elderly SARS-CoV-2-infected patients

This study presents the first nomogram for predicting PF in elderly patients following SARS-CoV-2 infection, which may serve as a clinical tool for risk assessment and early management in this population.

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Publication Details

Journal
Frontiers in Cellular and Infection Microbiology
Published
2025-06-06
DOI
https://doi.org/10.3389/fcimb.2025.1587321
Primary Topic
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Type
article
Field-Weighted Citation Impact
0.00

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article

Retrospective cohort analysis on predicting pulmonary fibrosis in elderly SARS-CoV-2-infected patients

Baoyin Zhao, Yan Hou, Hua Yin, Faguang Jin et al.
1 links
Frontiers in Cellular and Infection Microbiology
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
article

Retrospective cohort analysis on predicting pulmonary fibrosis in elderly SARS-CoV-2-infected patients

Baoyin Zhao, Yan Hou, Hua Yin, Faguang Jin, Feng Gao, Guangdong Hou, Yifeng Wang, Xinxin Wang, Jian Chen, Yan Li, Yongheng Gao
article en

Abstract

This study presents the first nomogram for predicting PF in elderly patients following SARS-CoV-2 infection, which may serve as a clinical tool for risk assessment and early management in this population.

Frontiers in Cellular and Infection MicrobiologyVol. 15
Shaanxi Provincial People's Hospital (CN), 117th Hospital of People's Liberation Army (CN), People's Liberation Army 401 Hospital (CN), Tang Du Hospital (CN), Air Force Medical University (CN)
National Natural Science Foundation of China
Reduced inequalities
Openalex Percentile: Top 78%
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
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