AI Summary & Key Takeaways
AI InsightThe ability of the PNI score, which was calculated according to the results at the time of admission, to predict hospitalization and mortality in the intensive care unit was evaluated.
📌 3 Key Takeaways
Abstract
Objective: We aimed to investigate the ability of the Prognostic Nutritional Index (PNI) score to predict the prognosis and mortality of patients hospitalized for COVID-19 Pneumonia. Methods: One hundred seventy-three patients were included in the study. The patients were grouped as patients with or without pneumonia, those who were hospitalized in the ward or intensive care unit, who were discharged, or who died. The ability of the PNI score, which was calculated according to the results at the time of admission, to predict hospitalization and mortality in the intensive care unit was evaluated. Results: The mean age of the patients was found to be 53.9 years. Pneumonia was detected in 72.3% of the patients. The need for intensive care developed in 26% of them. The PNI score was found to be significantly lower (p<0.05) in patients with pneumonia compared to patients without pneumonia. The PNI score of the patients hospitalized in the intensive care unit was found to be significantly (p<0.05) lower than the patients hospitalized in the ward. The PNI score of the patients who died was found to be significantly lower (p<0.05) than the patients who were discharged. The cut-off value of the PNI score was found to be 46. Conclusion: The PNI score which are among routine blood tests, was found to be effective in predicting intensive care unit admission and mortality. We believe that using the PNI score together with other biomarkers will be beneficial for clinicians in the prediction of the prognosis of patients.