Prognostic Nutritional Index and CRP, age, platelet count, albumin level score in predicting mortality and intensive care unit admission for COVID-19

Aim: In our study, we investigated the efficiency of the prognostic nutritional index (PNI) score and the CRP, age, platelet count, albumin level (CAPA) score predicting mortality and intensive care unit (ICU) admission in COVID-19 disease. Materials & methods: PNI and CAPA score of patients confirmed with COVID-19 calculated by using the complete blood count and biochemical parameters at admission to the hospital, in predicting the COVID-19-associated mortality and ICU admission were analyzed. Results: PNI and CAPA scores in predicting mortality were detected as AUC: 0.67 (p < 0.001), AUC: 0.71 (p < 0.001), respectively. For predicting ICU admission AUC was 0.66 (p < 0.001), AUC was 0.77 (p < 0.001), respectively. Conclusion: PNI and CAPA scores are effective scores in COVID-19, with CAPA score being better in predicting mortality and ICU admission. Lay abstract The COVID-19 pandemic is a global health problem that affects all societies. In order to deal with this urgent situation, the rapid spread of the disease in outbreaks requires categorizing patients according to risk group and regulating follow-up and use of resources accordingly. Effective, practical and inexpensive biomarkers are needed. We present to you the CAPA score calculated from CRP, age, platelet count, albumin levels, which is an effective score in predicting mortality and ICU admission in COVID-19.