ABSTRACT
Objective: To examine the relationship between wounding-to-door time and wound healing duration in patients with simple traumatic wounds admitted to Shahid Rajaei Emergency Department (ED) in Tonekabon city during the COVID-19 pandemic. Methods: This was a prospective longitudinal study on patients with simple traumatic wounds referred to ED of Shahid Rajaei Hospital in Tonekabon from April to the end of September 2021 were examined for demographics, trauma to hospital door, and body mass index. Patients were followed for wound healing for a month. Data was analyzed by considering the wound healing time as the primary outcome. Results: There were 142 were males and 45 were females. The mean age of the subjects was 32.24±18.25. The mean wound-to-door time was 4.3±2.7 hours. The maximum and minimum wound-to-door time was 17 hours and 1 hour, respectively. The average wound healing duration was 14.3±3.6 days. A significant positive correlation was found between the wound healing duration and wound-to-door time (r= 0.435, P<0.001). When analyzing subgroups of patients based on the BMI, antibiotic use, smoking status, and some wound locations, there was no significant correlation between wound healing duration and wounding-to-door time (P>0.05). Conclusion: This study revealed that delayed visit of ED for receiving proper wound care would be associated with increased wound healing duration;while this relationship is being modified by smoking status, using antibiotics, and the BMI. © 2023 by SPC (Sami Publishing Company)
ABSTRACT
Objective: To investigate homogeneity and efficiency of applicating models of lung/bronchial organoids for SARS-COV2 infection research and evaluate the role of differentially expressed cytokine genes of interest. Methods: in this systematic review and meta-analysis of Gene Expression ombious datasets, studies of lung/bronchial organoids as models of SARS-COV2 infection were evaluated. 4 datasets of GSE160435, GSE148697, GSE150819, and GSE152060 were selected for our study. DESeq / EdgeR technique was used to identify Differential Expressed Genes (DEGs). Results: the distribution of the pooled dataset showed small variations among the 4 selected datasets. K-means cluster analysis using the KEGG Pathway database revealed activation of a cluster of genes in response to coronavirus diseases including 51 genes in the pathway of KEGG, that could verify the organoids in comparison of real COVID-19 disease specimens. proinflammatory cytokines and Granulocyte-macrophage colony-stimulating factors were selected as our genes of interest-based on the literature. We only found significant upregulation of TNF-alpha, IL23A, and IL17A genes and significant Dowiregulation of CSF2RB, IL20RB/A, IL24B. while downregulation of CSF2 was in controversy with reported literature. Conclusion: Based on the data that ultimately reached the conclusion of the interferon 1 function in COVID-19 pathology, this work may confirm the models of SARS-COV-2 infection in lung organoids;nevertheless, the contradiction to real-world studies requires more research.