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Hematological changes associated with COVID‐19 infection
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Abstract<sec><title>Background

The unresolved COVID‐19 pandemic considerably impacts the health services in Iraq and worldwide. Consecutive waves of mutated virus increased virus spread and further constrained health systems. Although molecular identification of the virus by polymerase chain reaction is the only recommended method in diagnosing COVID‐19 infection, radiological, biochemical, and hematological studies are substantially important in risk stratification, patient follow‐up, and outcome prediction.

Aim

This narrative review summarized the hematological changes including the blood indices, coagulative indicators, and other associated biochemical laboratory markers in different stages of COVID‐19 infection, highlighting the diagnostic and prognostic significance.

Methods

Literature search was conducted for multiple combinations of different hematological tests and manifestations with novel COVID‐19 using the following key words: “hematological,” “complete blood count,” “lymphopenia,” “blood indices,” “markers” "platelet" OR "thrombocytopenia" AND "COVID‐19," "coronavirus2019," "2019‐nCoV," OR "SARS‐CoV‐2." Articles written in the English language and conducted on human samples between December 2019 and January 2021 were included.

Results

Hematological changes are not reported in asymptomatic or presymptomatic COVID‐19 patients. In nonsevere cases, hematological changes are subtle, included mainly lymphocytopenia (80.4%). In severe, critically ill patients and those with cytokine storm, neutrophilia, lymphocytopenia, elevated D‐dimer, prolonged PT, and reduced fibrinogen are predictors of disease progression and adverse outcome.

Conclusion

Monitoring hematological changes in patients with COVID‐19 can predict patients needing additional care and stratify the risk for severe course of the disease. More studies are required in Iraq to reflect the hematological changes in COVID‐19 as compared to global data.

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Publication Date
Fri Aug 01 2014
Journal Name
Journal Of Economics And Administrative Sciences
Using Bayesian method to estimate the parameters of Exponential Growth Model with Autocorrelation problem and different values of parameter of correlation-using simulation
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The goal of this study is to knowledge the effect of Autocorrelation on the estimation by using Bayesian method. F

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Publication Date
Sun Jun 01 2014
Journal Name
Baghdad Science Journal
Biodiversity Index value of benthic invertebrates' community in relation with variation of some environmental properties in Rivers Tigris and Diyala within Baghdad city.
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Publication Date
Mon Sep 01 2014
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Manual proposal to audit the automated accounting system in accordance with the framework (COBIT): Applied Research in the General Company for Petrochemical Industries
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Publication Date
Sat Jun 01 2024
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Congo red removal from aqueous solution by electrocoagulation- electro-oxidation combined system with Al and Cu–Mn–Ni nano composite as efficient electrodes
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Differences in perinatal outcomes in teenage mothers with their first and third pregnancies and predictors of adverse neonatal events: A cross-sectional study
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