D-DIMER A RISK FACTOR ASSOCIATED WITH C-REACTIVE PROTEIN FOR PREDICTING THE SEVERITY OF INFECTION BY COVID-19
Background: COVID-19, caused by SARS-CoV-2, has unresolved mortality risk factors and clinical course, highlighting the need for further research. Aims: The study aimed to asses D-dimer and C-Reactive Protein (CRP) as the risk factors for severity covid-19 and who are less capable of surviving. Methods: A retrospective study conduct of COVID-19 in adult inpatients aged >20 at Al-sadder and Alamal Hospital in Iraq. Demographics, clinical trials, treatments, and viral RNA samples were analyzed. The study involved 100 patients, with 67 discharged and 33 hospitalized died. The majority of the participants 45% were aged < 40, but 55% were aged >40 years. Results: A significant and 57% were male 37(55.2%) Survivor vs. 20 (60.6%) non-survivor, p=0.024), more than 43% were female (30(44.8%) Survivor vs. 13(39.4%) non-survivor, p=0.010. Patients had underlying comorbidities (66%), survivor 37(55%), and non-survivor 29(87%). The most prominent comorbidity in non-survivors more than survivors was diabetic mellitus 85%, asthma 58%, stroke 48%, renal failure 42%, heart strake 33%, and hypertension 18%. The study found significant differences in WBC, lymphocyte count, D-dimer, Ferritin, CRP, and LDH levels in non-survivors compared to survivor patients, with a positive correlation between D- dimer and these parameters. The ROC analysis curve showed CRP with a high AUC of 80.2%, 87.9% sensitivity, and 37.3% specificity, while D-dimer and LDH had AUCs of 0.74.9 and 70%, respectively. Discussion: The study found that older age, higher d-dimer, ferritin, CRP, and LDH are associated with disease severity and higher mortality risk in adult COVID-19 patients. Conclusions: These biomarkers could aid in early detection of disease progression signs and better patient management
Read ArticleTHE TREND TOWARDS PHENOME-WIDE ASSOCIATION STUDIES (PheWASs) IN COVID-19 RESEARCH
Background: Coronavirus Disease-2019 (COVID-19) appears in individuals asymptomatically and in various symptomatic forms. Symptomatic diversity can result in diagnosis failures, hospitalization, admission to intensive care, multi-organ failure, and death. The causes and risk factors of the severity of disease symptoms are uncertain. This uncertainty can only be resolved by elucidating the effects of host genes and genetic variations on different phenotypes. Aim: This review aimed to emphasize the importance of large-scale genotype-phenotype correlation studies in elucidating the phenotypic diversity in COVID-19 disease. Methods: All publications related to Phenome-Wide Association Study (PheWAS) in the PubMed database were searched. PheWAS studies applied to COVID-19 patients have been identified. In addition, studies applied to the genome-wide association study (GWAS)- Electronic health records (EHRs) data and additionally matched to the gene expression data were systematically reviewed. The latest PheWAS methodology and its importance in Large-scale genotype-phenotype correlations are discussed within the context of published COVID-19 studies. Results: According to our PubMed search data, there are few PheWAS studies on COVID-19 disease. This review explains the use of PheWAS studies applied to health records and GWAS data, and colocalization studies applied to expression quantitative trait locus (eQTL) analysis to understand the phenotypic variability of COVID-19. Discussion; Although there is a very limited number of PheWAS studies on COVID-19 diseases, these studies have obtained important data. At the current stage, there is a need for such studies in COVID-19 research. Conclusions: PheWAS is an ideal method for large-scale genotype-phenotype correlation studies that can reveal genetic diversity and phenotypic diversity in the pathophysiology of the disease.
Read ArticleHIGH BURDEN OF VITAMIN D DEFICIENCY AND FERRITIN-LINKED IMPACT IN Β-THALASSEMIA MAJOR
Background: Background: Vitamin D plays an essential role in bone health and overall physiological function, and its deficiency is common in children and adolescents with β-thalassemia major (βTM). Iron overload, as reflected by elevated ferritin, may further influence vitamin D status. Aim: This study aimed to evaluate serum vitamin D levels in βTM patients and determine their association with ferritin levels. Methods: A total of 40 βTM patients and 20 age-matched healthy controls (aged 4–25 years) were enrolled between October 2024 and February 2025. Serum vitamin D, calcium, ferritin, and hemoglobin were measured. Statistical analysis, including correlation and logistic regression, was performed using SPSS v.26 to identify predictors of vitamin D deficiency. Results: Vitamin D deficiency was highly prevalent among βTM patients (70%) compared with controls. Patients showed significantly lower vitamin D levels (17.32±1.56) than controls (25.34±1.76). Vitamin D levels were positively correlated with age (r = 0.788), calcium (r = 0.772), and hemoglobin (r = 0.771), and negatively correlated with ferritin (r = −0.517). Logistic regression demonstrated that ferritin >1000 ng/mL strongly predicted vitamin D deficiency (OR = 17.875; 95% CI: 3.258–98.074; p = 0.001), while younger age ( < 10 years) also increased the odds of deficiency (OR = 5.200; p = 0.018). Discussion: D deficiency is a prevalent and intrinsic metabolic disturbance in β-thalassemia major, closely linked to chronic iron overload and elevated ferritin levels. This interplay disrupts hepatic vitamin D hydroxylation, induces inflammation, and contributes to endocrine and skeletal complications, highlighting ferritin as a key predictor of deficiency in these patients. Conclusion: Vitamin D deficiency is highly prevalent in βTM and is strongly associated with elevated ferritin levels, suggesting that iron overload is a significant predictor. Integrating vitamin D assessment into routine monitoring may support better management of disease-related metabolic disturbances in patients with βTM.
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