Dynamic Changes in Parameters of Complete Blood Count Predict Disease Severity and Prognosis in Patients with COVID-19; A Prospective Study
Background: The pandemic of the coronavirus disease 2019 (COVID-19) is a major cause of death worldwide; thus, disease prediction is important. This study aimed to evaluate dynamic changes of complete blood count parameters in adult patients to predict disease severity. Materials and Methods: Data...
Saved in:
Main Authors: | Toktam Alirezaei, Mahdi Baratnia, Rama Bozorgmehr, Yasamansadat Keshmiri, Faezeh Ebrahimpour, Maryam Arefnia, Mohammadali Ghodsirad |
---|---|
Format: | Article |
Language: | English |
Published: |
Shahid Beheshti University of Medical Sciences
2025-01-01
|
Series: | Novelty in Biomedicine |
Subjects: | |
Online Access: | https://journals.sbmu.ac.ir/nbm/article/view/45941 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Study of Mono- and Polysubstance Abuse Effects on Complete Blood Count Parameters in Samples of Iraqi Patients
by: Athmar Kadhim Gatea, et al.
Published: (2024-12-01) -
Complete blood count parameters and inflammation-related biomarkers in patients with colorectal carcinoma
by: Koržinek Martha, et al.
Published: (2024-12-01) -
Development and validation of a nomogram to predict recurrence in epithelial ovarian cancer using complete blood count and lipid profiles
by: Xi Tang, et al.
Published: (2025-02-01) -
The association between white blood cell counts and metabolic health obesity among US adults
by: Zhanbin Li, et al.
Published: (2025-01-01) -
Associations of daily step count with all-cause mortality and cardiovascular mortality in hypertensive US adults: a cohort study from NHANES 2005–2006
by: Tuo Guo, et al.
Published: (2025-01-01)