Optimizing Clinical Management of COVID-19: A Predictive Model for Unvaccinated Patients Admitted to ICU

优化新冠肺炎临床管理:未接种疫苗的重症监护病房患者的预测模型

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Abstract

This study investigates the impact of immunological and clinical factors on COVID-19 outcomes among unvaccinated individuals. A cohort of 42 unvaccinated patients admitted to an intensive care unit was analyzed, focusing on age, comorbidities, inflammatory cytokines (IL-6, TNF-α), and anti-SARS-CoV-2 spike protein antibody levels (IgG) to assess their influence on hospital stay duration, recovery time, complications, and mortality rates. The findings revealed that advanced age, cardiovascular disease, and elevated pro-inflammatory cytokines significantly heightened the risks of severe complications and mortality. Conversely, low IgG levels correlated with prolonged hospital stays and slower recovery. Multivariate analysis identified high IL-6 and TNF-α levels as strong predictors of adverse outcomes. This research emphasizes the need for the early monitoring of cytokines and targeted management strategies to mitigate the impact of COVID-19, especially among high-risk unvaccinated populations.

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