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