Publication date: Jun 26, 2025
This study aimed to investigate the role of mean corpuscular volume (MCV) as a predictor of mortality due to COVID-19. This retrospective, single-center, and longitudinal study included 122 patients with COVID-19. Compared to the survivor’s group, the non-survivors had higher MCV (92. 13 +/- 3. 67 fL), neutrophil-to-lymphocyte ratio [NLR] (16. 99 [21. 31]), platelet-to-lymphocyte ratio [PLR] (350. 33 [304. 68]), and systemic immune-inflammation index [SII] (3684. 92 [4073. 25]) levels (p 89 fL, NLR > 8. 69, PLR > 418. 08, or SII > 2149. 36 were at a higher risk of death due to SARS-CoV-2 infection. The area under the curves (AUC) of NLR, SII, MCV, and PLR was sufficient for accurate prediction. COVID-19 patients with MCV > 89 fL and PLR > 418. 08 were 3. 65 (95% CI 1. 03-12. 87; p = 0. 043) and 5. 08 (95% CI 1. 06-24. 22; p = 0. 041) times more likely to die than those without these values, respectively. MCV was positively correlated with age, mean corpuscular hemoglobin (MCH), urea, blood urea nitrogen (BUN), and creatinine. MCV > 89 fL and PLR > 418. 08 at the time of hospital admission were associated with an increased COVID-19 mortality risk.
| Concepts | Keywords |
|---|---|
| Biomark | biomarker |
| Hematological | COVID-19 |
| Platelet | hematological markers |
| prognostic value | |
| SARS-CoV-2 infection |
Semantics
| Type | Source | Name |
|---|---|---|
| disease | MESH | COVID-19 |
| disease | IDO | role |
| disease | MESH | inflammation |
| disease | MESH | death |
| pathway | REACTOME | SARS-CoV-2 Infection |
| drug | DRUGBANK | Methacholine |
| drug | DRUGBANK | Urea |
| disease | IDO | blood |
| drug | DRUGBANK | Nitrogen |
| drug | DRUGBANK | Creatinine |