The aim of the present study is to compare the biochemical action of the three vaccines taken in Iraq: Pfizer Biontech, AstraZeneca Oxford and Sinopharm based on biochemical parameters. Seventy COVID-19 Iraqi patients ( males and females ) were participated in the present study and classified into 7 groups : Gc : COVID-19 patients ( without vaccine ) , Gp1: COVID-19 patients took one dose of Pfizer Biontech, Gp2 : COVID-19 patients took two doses of Pfizer Biontech, Ga1 : patients took one dose of AstraZeneca Oxford vaccine , Ga2: patients took two doses of AstraZeneca Oxford vaccine , Gs1 : patients took one dose of Sinopharm vaccine and Gs2: patients took two doses of Sinopharm vaccine. Patients were compared with healthy subjects (without vaccine) as a control group (Gh). The D-dimer level was highly significantly increased in Gc compared with Gh and was highly significantly decreased in Gp1 , Ga1 , Ga2 , significantly decreased in Gp2 and non-significantly decreased in Gs1 and highly significant increased in Gs2 compared with Gc. CRP level was significantly increased in Gc compared with Gh while it was significantly decreased in Gp1, Gp2, Ga1 , Ga2 , Gs1 , Gs2 compared with Gc. IgG and IgM levels were increased in Gc but decreased after taking vaccines ( except Ga2 for IgG and Gp2 for IgM ) The present study submits a novelty to the field of COVID-19 by highlighting the chemical aspects of vaccines used in Iraq
Many studies of the relationship between COVID-19 and different factors have been conducted since the beginning of the corona pandemic. The relationship between COVID-19 and different biomarkers including ABO blood groups, D-dimer, Ferritin and CRP, was examined. Six hundred (600) patients, were included in this trial among them, 324 (56%) females and the rest 276 (46%) were males. The frequencies of blood types A, B, AB, and O were 25.33, 38.00, 31.33, and 5.33%, respectively, in the case group. Association analysis between the ABO blood group and D-dimer, Ferritin and CRP of COVID-19 patients indicated that there was a statistically significant difference for Ferritin (P≤0.01), but no-significant differences for both D-dimer and CRP.
... Show MoreNumerous blood biomarkers are altered in COVID-19 patients; however, no early biochemical markers are currently being used in clinical practice to predict COVID-19 severity. COVID-19, the most recent pandemic, is caused by the SRS-CoV-2 coronavirus. The study was aimed to identify patient groups with a high and low risk of developing COVID-19 using a cluster analysis of several biomarkers. 137 women with confirmed SARS CoV-2 RNA testing were collected and analyzed for biochemical profiles. Two-dimensional automated hierarchy clustering of all biomarkers was applied, and patients were sorted into classes. Biochemistry marker variations (Ferritin, lactate dehydrogenase LDH, D-dimer, and C- reactive protein CRP) have split COVID-19 patien
... Show MoreBackground: coronavirus-19 disease recently emerged as a global pandemic affecting the respiratory system. However, during the course of the illness, the disease can directly or indirectly involve other body organs including the liver.
Objectives: This study aimed to determine the incidence of hepatic involvement and its clinical significance in COVID-19 patients.
Patients and Methods: This cross-sectional single-center study was conducted on 112 patients who have an infection with Covid 19 (proved by polymerase chain reaction). Depending on infection severity, patients were categorized into three groups (according to the guidelines of the Chinese National Health Committee)
... Show MoreBackground: Age progression is regarded as a critical risk factor in morbidity and mortality because of a weakened immune system. Although various studies have dealt with electrolyte imbalance in COVID-19 patients, the outcomes of these studies were partially understood. Objective: The current study aims to determine some biochemical parameters in old Iraqi COVID-19 patients and highlight the outcomes according to the aging role in the development of COVID-19 by suggesting new mechanisms. Materials and methods: forty COVID-19 patients were enrolled in the current study and divided into two groups: Gm includes (20) men, and Gf includes (20) women. The parameters (Na+, K+, Cl-, LDH, and Hb ) were determined in sera of patients and c
... Show MoreBackground: The COVID-19 pandemic has had effects beyond the respiratory system, impacting health and quality of life. Stress-related to the pandemic has led to temporary menstrual pattern changes in around one-third of women. These changes, likely driven by stress and anxiety, can result in problematic heavy bleeding, causing anemia and negatively affecting women's well-being. This also places a substantial socioeconomic burden on individuals, families, healthcare, and society.
Objectives: This study examined the impact of COVID-19 infection on the hormone levels (estradiol, prolactin, follicle-stimulating hormone, and luteinizing hormone) and heavy menstrual bleeding in Iraqi premenopausal women
... Show MoreBackground: the coronavirus leads to upper respiratory tract-associated manifestations like nasal congestion, sore throat, and smell disorder
Objectives: To reveal the impact of COVID-19 pandemic on otolaryngology symptoms using our daily medical practice.
Subject and Methods: A cross-sectional study that was carried on in the isolation wards at Al-Kindy and Al-Nu’man Teaching Hospitals during three months from the 1st of Jun. till the end of Aug. 2020. It included 1270 patients who were diagnosed with COVID-19 infection seen in the ENT consultation clinic and admitted to the isolation wards.
Results: Otolaryngological manifestations were shown
... Show MoreThe Covid-19 virus disease has been shown to affect numerous organs and systems including the liver. The study aimed to compare lipid profiles and liver enzyme levels in individuals who had recovered from Covid-19 infection. To achieve the study objectives, liver Aspartate Aminotransferase (AST), Alanine Aminotransferase (ALT), Alkaline phosphatase (ALP), Random Blood Sugar (RBS) and Lipid profile which include cholesterol, High-Density Lipoprotein (HDL), Triglycerides (T.G), Low-Density Lipoprotein (LDL), and Very low-density Lipoprotein (VLDL) were determined.
One hundred twenty serum samples were obtained, of which fifty samples were utilized as the control healthy persons (not affected by COVID) and seventy samples came f
... Show MoreBackground: Osteoporosis is a frequent disease that is manifested by reduced in mineral density and raised in fracture risk. Recent studies have indicated that osteoporosis is caused by composite connections among local and systemic regulators of bone cell function.
Objective: The purpose of this study was to investigate the relationship between interleukin-2, interleukin-4, and some biochemical markers in Iraqi patients with osteoporosis.
Patients and Methods: Forty five osteoporotic patients were incorporated in this study (30 women and 15 men). Serum fasting glucose, lipid profile, alkaline phosphatase activity, calcium, magnesium, interleukin-2, and interleukin-4 were measured in osteoporotic patients and compared them with the
Background: The number of coronavirus infection cases has increased rapidly since early reports in the December 2019 in China. But data on the clinical features of infected peoples is variable from one country to the other.
Objective: Studying clinical features of patients with a positive RT PCR COVID – 19, in a group of Iraqi patients.
Results: The study included 200 patients with 133 (66.5%) males and 67 (33.5%) females, and age range of 14- 89 years, with mean age 46.4 years. A history of contact with a COVID -19 positive case was found in 80 patients (40%), Ischemic Heart Disease in 11 patients (5.5%), hypertension 34 (17%), diabetes mellitus 36 patients (18%). The
... Show MoreWith its rapid spread, the coronavirus infection shocked the world and had a huge effect on billions of peoples' lives. The problem is to find a safe method to diagnose the infections with fewer casualties. It has been shown that X-Ray images are an important method for the identification, quantification, and monitoring of diseases. Deep learning algorithms can be utilized to help analyze potentially huge numbers of X-Ray examinations. This research conducted a retrospective multi-test analysis system to detect suspicious COVID-19 performance, and use of chest X-Ray features to assess the progress of the illness in each patient, resulting in a "corona score." where the results were satisfactory compared to the benchmarked techniques. T
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