tetano
Editor, Senior Moderator
Front Cell Infect Microbiol
. 2025 Apr 3:15:1499154.
doi: 10.3389/fcimb.2025.1499154. eCollection 2025. A model based on PT-INR and age serves as a promising predictor for evaluating mortality risk in patients with SARS-CoV-2 infection
Yongjie Xu[SUP] #[/SUP][SUP] 1 2 3 4 5 6 [/SUP], Minjie Tang[SUP] #[/SUP][SUP] 1 2 3 4 5 6 [/SUP], Zhaopei Guo[SUP] #[/SUP][SUP] 1 2 3 4 5 [/SUP], Yanping Lin[SUP] #[/SUP][SUP] 7 [/SUP], Hongyan Guo[SUP] 1 2 3 4 5 [/SUP], Fengling Fang[SUP] 1 2 3 4 5 [/SUP], Lin Lin[SUP] 1 2 3 4 5 [/SUP], Yue Shi[SUP] 1 2 3 4 5 [/SUP], Lu Lai[SUP] 1 2 3 4 5 [/SUP], Yan Pan[SUP] 1 2 3 4 5 [/SUP], Xiangjun Tang[SUP] 1 2 3 4 5 [/SUP], Weiquan You[SUP] #[/SUP][SUP] 1 2 3 4 5 [/SUP], Zishun Li[SUP] 7 [/SUP], Jialin Song[SUP] 8 [/SUP], Liang Wang[SUP] 9 [/SUP], Weidong Cai[SUP] 1 2 3 4 5 6 [/SUP], Ya Fu[SUP] 1 2 3 4 5 [/SUP]
Affiliations
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; SARS-CoV-2; age; mortality; predictor.
. 2025 Apr 3:15:1499154.
doi: 10.3389/fcimb.2025.1499154. eCollection 2025. A model based on PT-INR and age serves as a promising predictor for evaluating mortality risk in patients with SARS-CoV-2 infection
Yongjie Xu[SUP] #[/SUP][SUP] 1 2 3 4 5 6 [/SUP], Minjie Tang[SUP] #[/SUP][SUP] 1 2 3 4 5 6 [/SUP], Zhaopei Guo[SUP] #[/SUP][SUP] 1 2 3 4 5 [/SUP], Yanping Lin[SUP] #[/SUP][SUP] 7 [/SUP], Hongyan Guo[SUP] 1 2 3 4 5 [/SUP], Fengling Fang[SUP] 1 2 3 4 5 [/SUP], Lin Lin[SUP] 1 2 3 4 5 [/SUP], Yue Shi[SUP] 1 2 3 4 5 [/SUP], Lu Lai[SUP] 1 2 3 4 5 [/SUP], Yan Pan[SUP] 1 2 3 4 5 [/SUP], Xiangjun Tang[SUP] 1 2 3 4 5 [/SUP], Weiquan You[SUP] #[/SUP][SUP] 1 2 3 4 5 [/SUP], Zishun Li[SUP] 7 [/SUP], Jialin Song[SUP] 8 [/SUP], Liang Wang[SUP] 9 [/SUP], Weidong Cai[SUP] 1 2 3 4 5 6 [/SUP], Ya Fu[SUP] 1 2 3 4 5 [/SUP]
Affiliations
- PMID: 40248368
- PMCID: PMC12003402
- DOI: 10.3389/fcimb.2025.1499154
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; SARS-CoV-2; age; mortality; predictor.