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Background: To determine the relationship between effort-reward imbalance (ERI) and quality of working life (QWL) among medical caregivers and the mediating role of job burnout. Methods: This was a cross-sectional survey. A total of 787 medical caregivers at seven hospitals from Sichuan and Chongqing, China, between May to September 2023 were included in this observational study. The General Information Questionnaire, Effort-Reward Imbalance Questionnaire (ERI), Maslach Burnout Inventory-General Survey (MBI-GS), and Quality of Working Life Scale (QWL7-32) were used for data collection. SPSS 26.0 and PROCESSv3.3 were used for all data analyses, including descriptive statistics. Results: A total of 820 questionnaires were distributed, of which only 787 were valid (return rate; 95.98%). The QWL score of medical caregivers was 126.94 ± 16.69. However, QWL scores were significantly different depending on age, number of children, family support status, department, years of experience, night shift status, number of night shifts per month, number of hours worked per day, monthly income, and occurrence of errors or adverse events (p < 0.05). Furthermore, job burnout and ERI were negatively correlated with QWL (p < 0.01). Job burnout mediated (95% CI = -0.365, -0.260) the relationship between ERI and QWL, accounting for 58.65% of the total effect. Conclusion: Medical caregivers have a medium level of QWL. Job burnout partially mediates the relationship between ERI and QWL. Medical caregiver managers can improve QWL by directly intervening in occupational stress and indirectly intervening in job burnout.
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Objective:To explore the clinical and endoscopic features of patients with autoimmune gastritis (AIG) and to improve the accuracy of clinical diagnosis of AIG.Methods:From January 3, 2020 to November 25, 2021, the general information (gender, age), laboratory examination indicators and endoscopic findings of 179 AIG patients diagnosed at the Second Affiliated Hospital of Chongqing Medical University were retrospectively analyzed. The laboratory examination indicators included hemoglobin, gastrin-17, pepsinogen (PG), anemia combination indicators (ferritin, vitamin B 12), thyroid function indicators (thyroid-stimulating hormone, thyroglobulin antibody and thyroid peroxidase antibody), Helicobacter pylori, and anti-parietal cell antibody and anti-intrinsic factor antibody. Descriptive methods were used for statistical analysis. Results:Among the 179 AIG patients, there were 42 males (23.5%) and 137 females (76.5%), with an average age of (55.23±12.04) years old. The gastrin-17 level of AIG patients was 195.31 ng/L (143.64 ng/L, 273.61 ng/L), PG Ⅰ level and PG Ⅰ/PG Ⅱ ratio were 12.40 μg/L (7.65 μg/L, 19.40 μg/L) and 1.03 (0.66, 1.52), respectively. There were 15.3% (18/118) of the AIG patients with iron deficiency anemia, and 16.1% (19/118) with megaloblastic anemia. The positive rate of anti-parietal cell antibody was 71.8% (51/71), and the positive rate of anti-intrinsic factor antibody was 25.4% (18/71). The serum thyroid-stimulating hormone level increased in 27.3% (15/55) of the patients, and the positive rates of thyroglobulin antibody and thyroid peroxidase antibody were 31.6% (12/38) and 47.4% (18/38), respectively. The positive rate of Helicobacter pylori was 29.7% (38/128). The endoscopic appearance of AIG indicated reverse atrophy, characterized by obvious atrophy in gastric fundus and gastric body mucosa, however the atrophy of gastric antrum was not obvious. Under endoscopy yellow-white turbid mucus, which was difficult to be washed, was found in 67.0% (120/179) of the patients, and under endoscopy the residual gastric fundus glands could be seen in 19.6% (35/179) of the patients. Among 179 AIG patients, 7 cases (3.9%) of neuroendocrine tumor (NET), 7 cases (3.9%) of early gastric adenocarcinoma (including 1 case of poorly differentiated adenocarcinoma), 1 case (0.6%) of adenoma, and 14 cases (7.8%) of hyperplastic polyps were found. Except for the case of poorly differentiated adenocarcinoma undergoing surgery, the others were treated with endoscopic resection. Conclusions:When unexplained iron deficiency anemia, megaloblastic anemia, or reverse atrophy is found, AIG should be considered. AIG patients are at high risk for gastric cancer and NET, and should be closely followed up, and active treatment should be given before anemia and neurological symptoms appear.
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Primary liver cancer is one of the most severe cancer burdens around the world. Metabolic reprogramming is one phenotype of cancer， and blood metabolic markers are closely associated with metabolic reprogramming and can predict the risk of recurrence and survival or assess the treatment response of liver cancer， with important significance in the stratified management of patients， the development of rational treatment strategies， and the improvement of patient prognosis. By reviewing the recent studies on blood metabolomics in assessing the treatment response or predicting the prognosis of liver cancer， this article summarizes the blood metabolites with predictive significance and their mechanism of action and analyzes the current research status， existing problems， and prospects of this field. It is believed that the metabolites， such as aromatic amino acids， lipids， and bile acids， have an important clinical value in predicting the prognosis of liver cancer， and metabolomics technology has great potential in finding useful metabolites， but there are still many issues to be solved， such as technical limitations， insufficient studies， and multiple influencing factors.
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Objective To observe the correlation between telomerase activity and apoptosis in HeLa cells induced by influenza viruses.Methods HeLa cells were observed in the electron microscope after they had been infected by influenza viruses type A1,B and an UV exposed strain respectively.Besides,Annexin V-FITC staining flow cytometry(FCM)and PCR-ELISA were used to detect cell apoptosis and telomerase activity in HeLa cells respectively.Results The maximal rate of apoptotic cells induced by influenza virus type B and A1 were 38.65% and 23.94% respectively(P