The Relationship between Organizational Justice Perception and Self- efficacy in Staff of a Selected Educational Hospital: a case study

Background & Objectives: Hospitals are one of the important components in a health care system and have significant role in health of humans. Organizational justice shows the perception of fairness and equality in the workplace by staff and affects their behavior. This study examines the relationship between organizational justice perception and self-efficacy in employees of a selected hospital of Tabriz/ Iran. Methods: This was a cross-sectional descriptive- analytic study performed on 156 employees of one of the selected hospitals of Tabriz University of Medical Sciences. Chen, Gully & Eden Self-efficacy questionnaire and Rego and Cunha organizational justice questionnaire were used as data collection tools. Data analysis was done through SPSS23 and using analytic statistical tests such as Spearman correlation, Chi-Square and regression. Results: There was a significant positive relationship between dimensions of organizational justice and self- efficacy (P<0.01). Also, based on the results of regression analysis, information justice was a stronger predictor of self- efficacy. Eventually, the elements of procedural, interactions and information justice could predict 14% of variations of self- efficacy. Conclusion: Since dimensions of organizational justice affect employees' self- efficacy, hospital managers should find appropriate strategies for improving organizational justice in order to increase self- efficacy and ultimately the performance of their employees. Key¬words: Distributive justice, Procedural Justice, Interactional Justice, Informational Justice, Self efficacy, Staff, Educational Hospital Citation: Janati A, Chegini Z, Gholizadeh M, Naseri N, Ahmadi Z. The Relationship between Organizational Justice Perception and Self- efficacy in Staff of a Selected Educational Hospital: a case study. Journal of Health Based Research 2017; 3(2): 127-13

Helicobacter pylori vacA c1 Genotype Is a Benefit Biomarker for Prediction of Gastric Cancer Risk in Ardabil

BACKGROUND: Gastric cancer (GC) is the fifth common malignant disease and the third leading cause of cancer-related mortality in the world. Ardabil, a Northwestern province of Iran, includes the highest rate of GC within the country. Helicobacter pylori (H. pylori) vacA gene plays a major role in generating and maintaining the gastric inflammatory response, which alters the enteric nervous system in various combinations and may contribute to the development of GC. The aim of the current study was to investigate the relationship of the vacA c-region genotypes of H. pylori with GC among Ardabil population.METHODS: A total of 197 from 259 patients with non-atrophic gastritis (NAG) and GC, who were H. pylori positive, were selected and genotyped.RESULTS: The frequency of vacA c1 was 53.7% and c2 42.3%. There was a significant difference between the frequencies of vacA c1 in isolates from GC than those from NAG (p&lt;0.05). Though the GC was considered as a dependent factor by the multiple logistic regression analysis, the vacA c1 genotype was significantly associated with age- and sex-adjusted risk for GC (p=0.003, odds ratio [OR] = 5.48; 95% confidence interval [CI] =1.80–16.63).CONCLUSION: It was proposed that the H. pylori vacA c1 genotype could be considered as an important determinant for prediction of risk of GC in Ardabil. It is suggested that interaction between H. pylori vacA c-region genotypes and gastric nervous system may contribute to the development of GC

Anesthetic considerations in a patient with Psoriasis undergoing CABG surgery

A 51 years old man with a 30 years history of psoriasis was scheduled for elective CABG due to 3 vessels coronary artery involvement and the resulting ischemic heart diseases. The psoriatic lesions were on the limbs and posterior parts of the trunk. The perioperative period was eventless and the patient was under care in postoperative cardiac ICU ward. He was discharged home 10 days after the operation with stable psoriasis state

Association Between Single Nucleotide Polymorphisms of the Interleukin-4 Gene and Atopic Dermatitis

ABSTRACT Atopic dermatitis (AD) is an inflammatory skin disease in which both genetic and environmental factors seem to be involved. Several studies investigated the association of certain genetic factors with AD in different ethnic groups, but conflicting data were obtained. This study was performed to check the possible association between single nucleotide polymorphisms (SNPs) of interleukin 4 (IL-4) and the IL-4 receptor α chain (IL-4Rα) and AD in a group of Iranian patients. The allele and genotype frequencies of genes encoding for IL-4 and IL-4Rα were investigated in 89 patients with AD in comparison with 139 healthy controls, using methods based on polymerase chain reaction sequence-specific primers. The most frequent alleles of IL-4 in patients were T at -1098 (P&lt;0.001, odds ratio (OR)=2.35), C at -590 (P&lt;0.001, OR=4.84) and C at -33 (P=0.002, OR=2.08). The most frequent genotypes of IL-4 in patients were TT, CC, and CC at positions -1098 (P&lt;0.001, OR=3.59), -590 (P&lt;0.001, OR=31.25) and -33 (P&lt;0.001, OR=3.46), respectively. We found a significant lower frequency of GT at -1098 GT, TC at -590, and TC at -33 in patients. There were no statistically significant differences in the frequency of alleles and genotypes of IL-4Rα gene at position +1902. A strong positive association was seen between TCC haplotype and AD (68% in patients vs. 23.4% in controls, P&lt;0.001, OR=8.91). We detected a significantly lower frequency of TTC, GCC, and TTT haplotypes (P&lt;0.001, OR=0.02, P&lt;0.001, OR=0.40, P&lt;0.001, OR=0.39, respectively) in patients compared to controls. A significant association between the polymorphisms of the IL-4 gene promoter at positions -1098, -590, and -33 and AD was detected in the Iranian population. Key words: atopic dermatitis; polymorphism, single nucleotide; interleukin-4 gene</p

Nanobodies in cell-mediated immunotherapy: On the road to fight cancer

The immune system is essential in recognizing and eliminating tumor cells. The unique characteristics of the tumor microenvironment (TME), such as heterogeneity, reduced blood flow, hypoxia, and acidity, can reduce the efficacy of cell-mediated immunity. The primary goal of cancer immunotherapy is to modify the immune cells or the TME to enable the immune system to eliminate malignancies successfully. Nanobodies, known as single-domain antibodies, are light chain-free antibody fragments produced from Camelidae antibodies. The unique properties of nanobodies, including high stability, reduced immunogenicity, enhanced infiltration into the TME of solid tumors and facile genetic engineering have led to their promising application in cell-mediated immunotherapy. They can promote the cancer therapy either directly by bridging between tumor cells and immune cells and by targeting cancer cells using immune cell-bound nanobodies or indirectly by blocking the inhibitory ligands/receptors. The T-cell activation can be engaged through anti-CD3 and anti-4-1BB nanobodies in the bispecific (bispecific T-cell engagers (BiTEs)) and trispecific (trispecific T-cell engager (TriTEs)) manners. Also, nanobodies can be used as natural killer (NK) cell engagers (BiKEs, TriKEs, and TetraKEs) to create an immune synapse between the tumor and NK cells. Nanobodies can redirect immune cells to attack tumor cells through a chimeric antigen receptor (CAR) incorporating a nanobody against the target antigen. Various cancer antigens have been targeted by nanobody-based CAR-T and CAR-NK cells for treating both hematological and solid malignancies. They can also cause the continuation of immune surveillance against tumor cells by stopping inappropriate inhibition of immune checkpoints. Other roles of nanobodies in cell-mediated cancer immunotherapy include reprogramming macrophages to reduce metastasis and angiogenesis, as well as preventing the severe side effects occurring in cell-mediated immunotherapy. Here, we highlight the critical functions of various immune cells, including T cells, NK cells, and macrophages in the TME, and discuss newly developed immunotherapy methods based on the targeted manipulation of immune cells and TME with nanobodies

A hybrid computational approach for seismic energy demand prediction

In this paper, a hybrid genetic programming (GP) with multiple genes is implemented for developing prediction models of spectral energy demands. A multi-objective strategy is used for maximizing the accuracy and minimizing the complexity of the models. Both structural properties and earthquake characteristics are considered in prediction models of four demand parameters. Here, the earthquake records are classified based on soil type assuming that different soil classes have linear relationships in terms of GP genes. Therefore, linear regression analysis is used to connect genes for different soil types, which results in a total of sixteen prediction models. The accuracy and effectiveness of these models were assessed using different performance metrics and their performance was compared with several other models. The results indicate that not only the proposed models are simple, but also they outperform other spectral energy demand models proposed in the literature

Global, regional, and national burden of colorectal cancer and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Funding: F Carvalho and E Fernandes acknowledge support from Fundação para a Ciência e a Tecnologia, I.P. (FCT), in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of the Research Unit on Applied Molecular Biosciences UCIBIO and the project LA/P/0140/2020 of the Associate Laboratory Institute for Health and Bioeconomy i4HB; FCT/MCTES through the project UIDB/50006/2020. J Conde acknowledges the European Research Council Starting Grant (ERC-StG-2019-848325). V M Costa acknowledges the grant SFRH/BHD/110001/2015, received by Portuguese national funds through Fundação para a Ciência e Tecnologia (FCT), IP, under the Norma Transitória DL57/2016/CP1334/CT0006.proofepub_ahead_of_prin

The global burden of cancer attributable to risk factors, 2010-19 : a systematic analysis for the Global Burden of Disease Study 2019

Background Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings Globally, in 2019, the risk factors included in this analysis accounted for 4.45 million (95% uncertainty interval 4.01-4.94) deaths and 105 million (95.0-116) DALYs for both sexes combined, representing 44.4% (41.3-48.4) of all cancer deaths and 42.0% (39.1-45.6) of all DALYs. There were 2.88 million (2.60-3.18) risk-attributable cancer deaths in males (50.6% [47.8-54.1] of all male cancer deaths) and 1.58 million (1.36-1.84) risk-attributable cancer deaths in females (36.3% [32.5-41.3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20.4% (12.6-28.4) and DALYs by 16.8% (8.8-25.0), with the greatest percentage increase in metabolic risks (34.7% [27.9-42.8] and 33.3% [25.8-42.0]). Interpretation The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.Peer reviewe