Do initial hematologic indices predict the severity of COVID-19 patients?

Area of Science:

• Hematology
• Infectious Diseases
• Critical Care Medicine

Background:

• COVID-19 poses a significant global health challenge, necessitating early identification of severe cases.
• Understanding initial hematological markers can aid in predicting disease progression and outcomes.

Purpose of the Study:

• To evaluate initial hematological findings on admission in COVID-19 patients requiring intensive care unit (ICU) transfer.
• To identify hematological indices that can predict disease severity and prognosis.

Main Methods:

• Investigated neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and other hematological parameters in 695 COVID-19 patients.
• Compared these indices between mild/moderate and severe COVID-19 patient groups.

Main Results:

• Patients admitted to the ICU were significantly older (median age 68.5 vs. 41.0 years).
• Severe cases exhibited higher NLR and monocyte to lymphocyte ratio (MLR), and lower PLR compared to mild/moderate cases.
• NLR demonstrated the highest accuracy (AUC = 0.819) in distinguishing severe patients early.

Conclusions:

• Initial NLR, PLR, and lymphocyte multiplied by platelet count (LYM × PLT) are associated with COVID-19 severity and ICU need.
• Hemogram parameters analyzed on admission are crucial for predicting COVID-19 patient prognosis.