ArticleJournal of inflammation research2025
The Predictive Value of Soluble Fms-Like Tyrosine Kinase-1 for Prognosis in COVID-19 Patients.
Article in Journal of inflammation research, 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Background: Coronavirus Disease 2019 (COVID-19), caused by the novel coronavirus, has posed a significant threat to global public health, leading to substantial morbidity, mortality, and strain on healthcare resources. Despite the availability of vaccines and treatments, effective biomarkers for predicting disease progression remain limited. This study aimed to investigate the prognostic value of soluble fms-like tyrosine kinase-1 (sFlt-1) in COVID-19 patients. Methods: A prospective cohort study was conducted involving 154 COVID-19 patients, with comprehensive clinical data and laboratory parameters analyzed to evaluate the effectiveness of sFlt-1 in determining disease severity and prognosis. Results: The results revealed that sFlt-1 levels correlated significantly with disease severity, showing higher levels in severe/critical cases compared to mild cases (P<0.05). In the deceased group, sFlt-1 levels were notably higher compared to survivors, with an area under the curve (AUC) of 0.840, showing good predictive power for 28-day mortality. Multivariable logistic regression identified sFlt-1, respiratory rate, and albumin as independent prognostic factors, with a combined AUC of 0.938 (95% CI: 0.886-0.991) for predicting mortality risk. Conclusion: These findings underscore the potential of sFlt-1 as a valuable biomarker for clinical decision-making in managing COVID-19 patients. Future studies should focus on the clinical application of sFlt-1 and explore its underlying mechanisms to enhance patient management strategies.
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