Title: Investigation of Biochemical Blood Parameters of COVID-19
Patients
Short (running) title: Biochemical Blood Parameters of COVID-19 Patients
Author name: Semih ERITEN, Sultanbeyli State Hospital Department Of
Emergency, Battalgazi, Paşaköy st. 34935 İstanbul, Turkey,
semiheriten@hotmail.com
There is no conflict of interest in the study
No financial support was received in the study
ABSTRACT
Objectives: In this study, it was aimed to investigate the effect of
biochemical blood values on the course of the disease.
Material and Methods: This is a retrospective study. For the treatment
of COVID-19, clinical features and biochemical test parameters of 243
patients who applied to Malatya Training and Research Hospital in
Malatya province of Turkey between 03 March and 31 December 2021 were
used.
Results: In the regression analysis performed in patients with Covid,
glucose, urea, ALP, LDH, albumin, calcium and potassium levels were
found to be effective on the severity of the disease.
Conclusion: Biochemical parameters can be used as clinical findings to
predict the diagnosis and course of COVID-19.
Keywords: Covid-19, Biochemical, Biomarker, Pandemic.
INTRODUCTION
The global epidemic known as the coronavirus disease (COVID-19) was
first seen in 2019 in Wuhan, China (1). This recently discovered
epidemic still continues to spread worldwide as a severe and contagious
disease (2). Coronavirus Disease 2019 (COVID-19) has a variable clinical
presentation from asymptomatic to severe illness leading to death (3).
Studies are continuing to develop effective treatments in the fight
against COVID-19 (4-10). Although there are many new treatment options
available to combat COVID-19, the success rate varies. For this reason,
laboratory tests; It plays an important role in predicting the severity
and course of the disease and in determining the appropriate treatment
(11).
Although studies in the literature have broadly defined the clinical
features of COVID-19, the evaluation of changes in the most common
biochemical parameters reported in patients with COVID-19 is still not
fully determined (2). At the same time, it is seen that there are
certain differences in the results due to the different designs of the
studies and insufficient sample sizes (11).
Since the biochemical changes of the blood play an important role in
predicting the condition and prognosis of the patients, guiding the
treatment and even evaluating the curative effect, there is a need to
obtain more convincing results about the biochemical (11-14). In this
study, it was aimed to evaluate the changes in biochemical parameters of
COVID-19 patients according to clinical features.
METHOD
Data Collecting
This is a retrospective study. For the treatment of COVID-19, clinical
features and biochemical test parameters of 243 patients who applied to
Malatya Training and Research Hospital in Malatya province of Turkey
between 03 March and 31 December 2021 were used. Data were obtained from
Malatya Training and Research Hospital patient registration automation.
The study was approved by the Malatya Training and Research Hospital
Ethics Review Board (Approval Number: 23536505-000-13874).
Statistical Analysis
In the study, descriptive statistics and categorical variables were
shown as numbers and percentages, and continuous variables as median
(minimum-maximum). The chi-square test was used to examine the
relationship between two independent categorical variables. The
Mann-Whitney U test was used to test the significance of the difference
between the means of two non-parametric variables. Diagnostic test
performances of biochemical blood parameters were tested by ROC
analysis. Multivariate logistic regression analysis was performed to
evaluate the independent factors that were statistically significant.
Statistical analyzes were performed using “IBM SPSS Statistics (Version
25.0) for Windows and Jamovi (Version 2.3) for Windows software”.
FINDINGS
In the study, there is a significant relationship between the
discharge/ex statues of the patients and their age\({(X}^{2}=\)25,09,p <0.05), chronic disease (\(X^{2}=\)32,84p <0.05) and duration of hospitalization
(\(X^{2}=\)23,41 p <0.05). There is no significant
relationship between gender and discharge/ex (\(X^{2}=\)2,37,p >0.05) (Table 1).
Table 1. Comparison of Ex and Discharge Status of Patients According to
Demographic Variables