A Predictive Model for Cytomegalovirus Infection Using Routine Hematological and Biochemical Parameters: A Pilot...

Area of Science:

• Hematology
• Clinical Biochemistry
• Virology

Background:

• Cytomegalovirus (CMV) infections can manifest with distinct hematological changes.
• These changes may serve as diagnostic markers for CMV infection and its subtypes.

Purpose of the Study:

• To investigate the utility of hematological and biochemical parameters in diagnosing cytomegalovirus (CMV) infections.
• To differentiate between CMV-G (genotype G) and CMV-M (genotype M) infections using these parameters.

Main Methods:

• Retrospective analysis of 54 CMV-infected patients (25 CMV-G, 29 CMV-M) and 82 healthy controls.
• Evaluation of routine hematological and biochemical parameters.
• Application of Receiver Operating Characteristics (ROC) analysis and logistic regression.

Main Results:

• CMV-G patients showed decreased red blood cells (RBC), hemoglobin (HGB), hematocrit (HCT), and platelets compared to controls.
• CMV-M patients exhibited similar reductions plus elevated monocytes, alanine aminotransferase (ALT), aspartate aminotransferase (AST), total iron-binding capacity (TIBC), and AST-to-platelet ratio index (APRI).
• Key differentiating markers for CMV-M versus CMV-G included TIBC, AST, HCT, monocytes, HGB, ALT, APRI, and Fibrosis-4 (FIB-4).

Conclusions:

• Hematological and biochemical indicators effectively distinguish CMV infections.
• TIBC, AST, HCT, monocytes, HGB, ALT, APRI, and FIB-4 are valuable for differentiating CMV-M from CMV-G.
• These findings can aid in predicting and managing CMV-infected patients.