Evidence map›Paper›PMID 40950976›Full record

ArticleFrontiers in medicine2025

The relationship between different severity of COVID-19 pneumonia and arterial stiffness based on artificial intelligence analysis.

Lingheng Wu, Lin Jin, Xinyi Li, Mengjiao Zhang, Jianxiong Chen, Xiaobo Tang, Lianfang Du, Xifu Wang, Zhaojun Li, Xianghong Luo

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Article in Frontiers in medicine, 2025. 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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5 · Who and what money

Authors and funding

10 authors.

Lingheng Wu *Department of Ultrasound, Mindong Hospital Affiliated to Fujian Medical University, Ningde, China.
Lin Jin *Department of Ultrasound, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xinyi LiDepartment of Ultrasound, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Mengjiao ZhangDepartment of Ultrasound, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jianxiong ChenDepartment of Ultrasound, Mindong Hospital Affiliated to Fujian Medical University, Ningde, China.
Xiaobo TangDepartment of Radiology, Jiading Branch of Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Lianfang DuDepartment of Ultrasound, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xifu WangDepartment of Radiology, Jiading Branch of Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Zhaojun LiDepartment of Ultrasound, Shanghai General Hospital of Nanjing Medical University, Shanghai, China.
Xianghong LuoDepartment of Echocardiography, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale and objectives: This study aimed to investigate the correlation between the severity of pulmonary infection and arterial stiffness pulse in coronavirus disease 2019 (COVID-19) patients using artificial intelligence (AI) quantitative analysis. Materials and methods: A total of 100 COVID-19 patients (with a mean age of 76 years) were enrolled in this study and were stratified into three groups based on the severity of their condition: mild, moderate, and severe. An AI imaging diagnostic system was used for automatic identification and quantitative analysis of infected lesions. Arterial stiffness was evaluated using the arterial velocity pulse index (AVI). Multiple linear regression analyses were performed to investigate the independent associations between the AVI, inflammatory markers, and radiographic parameters. Hazard ratios and Kaplan-Meier curves were produced to assess the association between arterial stiffness and radiographic parameters in relation to the composite outcome of all-cause mortality. Results: The AVI was elevated in the moderate and severe groups compared to the mild COVID-19 group ( Conclusion: As the severity of pneumonia infection increased in COVID-19 patients, vascular endothelial function was impaired, leading to increased arterial stiffness. The AVI was associated with the highest percentage of lobe infection, and the severity of pneumonia was identified as an independent risk factor for increased arterial stiffness. Worsening arterial stiffness poses an increased risk of death in COVID-19 patients.

Indexed as

arterial stiffnessarterial velocity pulse indexartificial intelligenceCOVID-19lung involvement

Identifiers

PMID40950976
PMCPMC12425759

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