Volume 25 , Issue 2 , December 2023 , Pages 1-23
Daban Sabah Rashid 1 ; Dlzar Dlshad Ghafoor 2 ; Karzan Jalal Salih 1
1 Pharmaceutical Chemistry Department, College of Medical and Applied Sciences, Charmo University,46023, Chamchmal, Iraq
2 Department of Medical Laboratory Sciences, Komar University of Science and Technology (KUST), 46001 Sulaimaniyah, Iraq
Severe acute respiratory syndrome (SARS-CoV-2) that causes novel
coronavirus pneumonia (COVID-19) interacts with the receptor (angiotensinconverting enzyme) on the lung epithelial cells and leads to rapid deterioration
of human health if no care is provided, hence risk identification of the case
severity is important. The objective of the present study is to analyze the
relationship between blood parameters and the severity, survival, and mortality
of COVID-19 patients based on the hematological and biochemical
abnormalities associated with Iraqi COVID-19 patients. A prospective
multicenter observational study has been done on a total of 103 patients
admitted to different hospitals between November 1, 2021, and April 1, 2022.
Among these 30 (29.1%) patients died, 81% died within two weeks of
admission to the hospital, and 73 patients (71.9%) survived. An independent
sample t-test revealed a significant difference in the tests including AST, ALT,
D-dimer, urea, creatinine, and chloride ion between the dead and survived
patients, while there was a non-significant difference when these parameters
were compared (age, BMI, CPR, PT, INR, APTT, WBC, LYM, GRA, HGB,
RBC, ESR, Creatinine, Na and K ions). Crosstab’s study showed that most
death (80%) were at ages >60 years, 53.3% of the deaths were having normal
BMI and only 10% were obese. Three models for logistic regression were
performed to test if the available data set is more effective than the null
hypothesis, all three tests yield a similar conclusion that the available data can
be used to check the risk factors in COVID-19 patients.