A model based on PT-INR and age serves as a promising predictor for evaluating mortality risk in patients with SARS-CoV-2 infection

Xu, Yongjie; Tang, Minjie; Guo, Zhaopei; Lin, Yanping; Guo, Hongyan; Fang, Fengling; Lin, Lin; Shi, Yue; Lai, Lu; Pan, Yan; Tang, Xiangjun; You, Weiquan; Li, Zishun; Song, Jialin; Wang, Liang; Cai, Weidong; Fu, Ya

doi:10.3389/fcimb.2025.1499154

ORIGINAL RESEARCH article

Front. Cell. Infect. Microbiol.

Sec. Clinical Infectious Diseases

Volume 15 - 2025 | doi: 10.3389/fcimb.2025.1499154

This article is part of the Research Topic Recent Advancements in the Research Models of Infectious Diseases View all 6 articles

A model based on PT-INR and age serves as a promising predictor for evaluating mortality risk in patients with SARS-CoV-2 infection

Provisionally accepted

Yongjie Xu ¹

Minjie Tang ¹

Zhaopei Guo ¹

Yanping Lin ²

Hongyan Guo ¹

Fengling Fang ¹ Lin Lin

Lin Lin ¹

Yue Shi ¹

Lu Lai ¹

Yan Pan ¹

Xiangjun Tang ¹

Weiquan You ¹

Zishun Li ²

Jialin Song ^3*

Liang Wang ^1*

Weidong Cai ^1*

Ya Fu ^1*

¹ Fujian Medical University, Fuzhou, China
² Third Hospital of Xiamen, Xiamen, Fujian Province, China
³ Fujian Maternity and Child Health Hospital, Fuzhou, Fujian Province, China

The final, formatted version of the article will be published soon.

COVID-19 caused by the coronavirus SARS-CoV-2 has resulted in a global pandemic. Considering some patients with COVID-19 rapidly develop respiratory distress and hypoxemia, early assessment of the prognosis for COVID-19 patients is important, yet there is currently a lack of research on a comprehensive multi-marker approach for disease prognosis assessment.Here, we utilized a large sample of hospitalized individuals with COVID-19 to systematically compare the clinical characteristics at admission and developed a nomogram model that was used to predict prognosis. In all cases, those with pneumonia, older age, and higher PT-INR had a poor prognosis. Besides, pneumonia patients with older age and higher PT-INR also had a poor prognosis. A nomogram model incorporating presence of pneumonia, age and PT-INR could evaluate the prognosis in all patients with SARS-CoV-2 infections well, while a nomogram model incorporating age and PT-INR could evaluate the prognosis in those with pneumonia well. Together, our study establishes a prognostic prediction model that aids in the timely identification of patients with poor prognosis and helps facilitate the improvement of treatment strategies in clinical practice in the future.

Keywords: PT-INR, age, predictor, Mortality, SARS-CoV-2

Received: 20 Sep 2024; Accepted: 03 Mar 2025.

Copyright: © 2025 Xu, Tang, Guo, Lin, Guo, Fang, Lin, Shi, Lai, Pan, Tang, You, Li, Song, Wang, Cai and Fu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Jialin Song, Fujian Maternity and Child Health Hospital, Fuzhou, 350001, Fujian Province, China
Liang Wang, Fujian Medical University, Fuzhou, China
Weidong Cai, Fujian Medical University, Fuzhou, China
Ya Fu, Fujian Medical University, Fuzhou, China

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