Evaluation of Inflammation-Based Prognostic Risk Scores in Predicting in-Hospital Mortality Risk in COVID-19...

Area of Science:

• Critical Care Medicine
• Infectious Diseases
• Nutritional Science

Background:

• Systemic inflammation predicts poor outcomes in COVID-19.
• Nutrition risk and inflammation-based scores are associated with prognosis.

Purpose of the Study:

• To evaluate the Prognostic Nutritional Index (PNI) as a predictor of in-hospital mortality in COVID-19 patients.
• To compare the predictive value of PNI against other inflammation-based prognostic scores.

Main Methods:

• Retrospective, cross-sectional, single-center study.
• Included 151 adult COVID-19 patients hospitalized in the ICU.
• Multivariable logistic regression analyzed Prognostic Nutritional Index (PNI), Glasgow Prognostic Score (GPS), Prognostic Index (PI), and Systemic Inflammatory Index (SII).

Main Results:

• Univariate analysis showed significant associations between mortality and various clinical factors, including PNI and GPS.
• Multivariable analysis revealed PNI as the only statistically significant predictor of in-hospital mortality (OR=0.83; 95% CI=0.71-0.97; p=0.019).

Conclusions:

• The Prognostic Nutritional Index (PNI) is a valuable and potent tool for predicting in-hospital mortality in COVID-19 patients.
• PNI demonstrates superior utility compared to other inflammation-based prognostic scores in this patient cohort.