Objective To explore the prevalence of Helicobacter pylori (Hp) infection and its association with dietary and lifestyle habits among the adult physical examination population in Xuzhou area. Methods Retrospectively selected the physical examination population who underwent HP testing at our hospital's physical examination center from May 2021 to December 2023 as the research object. The prevalence of Hp infection in the population was analyzed based on the physical examination results. A questionnaire survey was used to collect information on the eating and living habits of all study subjects. Logistic regression was used to analyze the relationship between eating and living habits and Hp infection. Results A total of 1 354 physical examination people were included in the study, and the Hp infection rate was 37.30% (505/1354). The difference in Hp infection rates among people of different age groups is statistically significant (P<0.05), with the middle-aged population (41-59 years old) having the highest Hp positive infection rate (45.38%).High salt (41.11%), hot diet (40.56%), history of smoking (45.23%) and drinking (43.80%), less consumption of fruits and vegetables (43.73%), irregular exercise (41.29%), irregular diet People who frequently eat out (43.56%) and eat out frequently (42.57%) have a higher Hp infection rate (P<0.05).After adjusting for demographic factors such as gender, age, place of residence and education level, multivariate Logistic regression results showed that high-salt diet (OR=3.975, 95%CI: 2.670-5.917) and hot diet (OR=3.357, 95%CI: 2.291-4.919), smoking (OR=1.458, 95%CI: 1.082-1.964), drinking alcohol (OR=1.654, 95%CI: 1.279-2.138), eating fruits and vegetables (OR=1.759, 95%CI: 1.345-2.301), regular exercise (OR=1.822, 95%CI: 1.371-2.421), regular diet (OR=1.893, 95%CI: 1.391-2.575), eating out (OR=1.690, 95%CI: 1.277-2.237) were associated with the risk of Hp infection (P<0.05). Conclusion The positive infection rate of Hp among the physical examination population in Xuzhou is slightly lower than the average epidemic level in China. Cultivating healthy eating and living habits can effectively reduce the risk of Hp infection.

Objective To investigate the expression of microRNA(miR)-143-3p and signal transduction and transcriptional activator protein(STAT)3 in serum of patients with hepatocellular carcinoma(HCC)and its clinical significance.Methods A total of 110 HCC patients admitted to Rugao People's Hospital from Jan-uary 2022 to February 2023 were selected as HCC group,and 40 healthy people who underwent physical ex-amination during the same period were selected as healthy control group.The expression of miR-143-3p and STAT3 mRNA was compared in the serum of two groups.In addition,they were divided into good prognosis group(n=82)and poor prognosis group(n=28),according to the prognosis of HCC patients followed up for 1 year.Multivariate Logistic regression analysis was used to analyze the the influencing factors of poor prog-nosis in HCC patients.The predictive efficacy of serum miR-143-3p and STAT3 mRNA expression on poor prognosis of HCC patients was analyzed by receiver operating characteristic(ROC)curve.Results Compared with healthy control group,the expression level of miR-143-3p in serum of HCC group was lower(P＜0.05),while the expression level of STAT3 mRNA was higher(P＜0.05).Multivariate Logistic regression analysis showed that microvascular invasion,maximum diameter of tumor＞5 cm,down-regulated serum miR-143-3p expression and up-regulated STAT3 mRNA expression were independent risk factors for poor prognosis of HCC patients(P＜0.05).ROC curve showed that the area under the curve of serum miR-143-3p,STAT3 mR-NA and their combined detection for predicting the poor prognosis of HCC patients were 0.888,0.810 and 0.922,respectively,and the combined detection had the best predictive value(P＜0.05).Conclusion The ex-pression of miR-143-3p is abnormally down-regulated in the serum of HCC patients,while the mRNA of STAT3 is abnormally up-regulated.The combined detection of miR-143-3p and STAT3 has good predictive value for the poor prognosis of HCC patients.

【Objective】 To establish a blood quality monitoring indicator system, in order to continuously improve blood quality and standardized management. 【Methods】 Based on the research of literature and standards, and guided by the key control points of blood collection and supply process, the blood quality monitoring indicator system was developed. Through two rounds of Delphi expert consultation, the indicator content was further revised and improved according to expert opinions after six months of trial implementation. The indicator weight was calculated by questionnaire and analytic hierarchy process. 【Results】 A blood quality monitoring indicator system covering the whole process of blood collection and supply was constructed, including five primary indicators, namely blood donation service, blood component preparation, blood testing, blood supply and quality control, as well as 72 secondary indicators, including definitions, calculation formulas, etc. Two rounds of expert consultation and two rounds of feasibility study meeting were held to revise 17 items and the weight of each indicator was obtained through the analytic hierarchy process. After partial adjustments, a blood quality monitoring indicator system was formed. 【Conclusion】 A blood quality monitoring indicator system covering the whole process of blood collection and supply has been established for the first time, which can effectively evaluate the quality management level of blood banks and coordinate blood quality control activities of blood banks in Shandong like pieces in a chess game, thus improving the standardized management level

【Objective】 To objectively evaluate the quality control level of blood testing process in blood banks through quantitative monitoring and trend analysis, and to promote the homogenization level and standardized management of blood testing laboratories in blood banks. 【Methods】 A quality monitoring indicator system covering the whole process of blood collection and supply, including blood donation service, blood component preparation, blood testing, blood supply and quality control was established. The questionnaire Quality Monitoring Indicators for Blood Collection and Supply Process with clear definition of indicators and calculation formulas was distributed to 17 blood banks in Shandong province. Quality monitoring indicators of each blood bank from January to December 2022 were collected, and 31 indicators in terms of blood testing were analyzed using SPSS25.0 software. 【Results】 The proportion of unqualified serological tests in 17 blood bank laboratories was 55.84% for ALT, 13.63% for HBsAg, 5.08% for anti HCV, 5.62% for anti HIV, 18.18% for anti TP, and 1.65% for other factors (mainly sample quality). The detection unqualified rate and median were (1.23±0.57)% and 1.11%, respectively. The ALT unqualified rate and median were (0.74±0.53)% and 0.60%, respectively. The detection unqualified rate was positively correlated with ALT unqualified rate (r=0.974, P<0.05). The unqualified rate of HBsAg, anti HCV, anti HIV and anti TP was (0.15±0.09)%, (0.05±0.04)%, (0.06±0.03)% and (0.20±0.05)% respectively. The average unqualified rate, average hemolysis rate, average insufficient volume rate and the abnormal hematocrit rate of samples in 17 blood bank laboratories was 0.21‰, 0.08‰, 0.01‰ and 0.02‰ respectively. There were differences in the retest concordance rates of four HBsAg, anti HCV and anti HIV reagents, and three anti TP reagents among 17 blood bank laboratories (P<0.05). The usage rate of ELISA reagents was (114.56±3.30)%, the outage rate of ELISA was (10.23±7.05) ‰, and the out of range rate of ELISA was (0.90±1.17) ‰. There was no correlation between the out of range rate, outrage rate and usage rate (all P>0.05), while the outrage rate was positively correlated with the usage rate (r=0.592, P<0.05). A total of 443 HBV DNA positive samples were detected in all blood banks, with an unqualified rate of 3.78/10 000; 15 HCV RNA positive samples were detected, with an unqualified rate of 0.13/10 000; 5 HIV RNA positive samples were detected, with an unqualified rate of 0.04/10 000. The unqualified rate of NAT was (0.72±0.04)‰, the single NAT reaction rate [(0.39±0.02)‰] was positively correlated with the single HBV DNA reaction rate [ (0.36±0.02) ‰] (r=0.886, P<0.05). There was a difference in the discriminated reactive rate by individual NAT among three blood bank laboratories (C, F, H) (P<0.05). The median resolution rate of 17 blood station laboratories by minipool test was 36.36%, the median rate of invalid batch of NAT was 0.67%, and the median rate of invalid result of NAT was 0.07‰. The consistency rate of ELISA dual reagent detection results was (99.63±0.24)%, and the median length of equipment failure was 14 days. The error rate of blood type testing in blood collection department was 0.14‰. 【Conclusion】 The quality monitoring indicator system for blood testing process in Shandong can monitor potential risks before, during and after the experiment, and has good applicability, feasibility, and effectiveness, and can facilitate the continuous improvement of laboratory quality control level. The application of blood testing quality monitoring indicators will promote the homogenization and standardization of blood quality management in Shandong, and lay the foundation for future comprehensive evaluations of blood banks.

【Objective】 To establish an effective quality monitoring indicator system for blood quality control in blood banks, in order to analyze the quality control indicators for blood collection and supply, and evaluate blood quality control process, thus promoting continuous improvement and standardizing management of blood quality control in blood banks. 【Methods】 A quality monitoring indicator system covering the whole process of blood collection and supply, including blood donation services, component preparation, blood testing, blood supply and quality control was established. The Questionnaire of Quality Monitoring Indicators for Blood Collection and Supply Process was distributed to 17 blood banks in Shandong, which clarified the definition and calculation formula of indicators. The quality monitoring indicator data from January to December 2022 in each blood bank were collected, and 20 quality control indicators data were analyzed by SPSS25.0 software. 【Results】 The average pass rate of key equipment monitoring, environment monitoring, key material monitoring, and blood testing item monitoring of 17 blood banks were 99.47%, 99.51%, 99.95% and 98.99%, respectively. Significant difference was noticed in the pass rate of environment monitoring among blood banks of varied scales(P<0.05), and the Pearson correlation coefficient (r) between the total number of blood quality testing items and the total amount of blood component preparation was 0.645 (P<0.05). The average discarding rates of blood testing or non-blood testing were 1.14% and 3.36% respectively, showing significant difference among blood banks of varied scales (P<0.05). The average discarding rate of lipemic blood was 3.07%, which had a positive correlation with the discarding rate of non testing (r=0.981 3, P<0.05). There was a statistically significant difference in the discarding rate of lipemic blood between blood banks with lipemic blood control measures and those without (P<0.05). The average discarding rate of abnormal color, non-standard volume, blood bag damage, hemolysis, blood protein precipitation and blood clotting were 0.20%, 0.14%, 0.06%, 0.06%, 0.02% and 0.02% respectively, showing statistically significant differences among large, medium and small blood banks(P<0.05).The average discarding rates of expired blood, other factors, confidential unit exclusion and unqualified samples were 0.02%, 0.05%, 0.003% and 0.004%, respectively. The discarding rate of blood with air bubbles was 0.015%, while that of blood with foreign body and unqualified label were 0. 【Conclusion】 The quality control indicator system of blood banks in Shandong can monitor weak points in process management, with good applicability, feasibility, and effectiveness. It is conducive to evaluate different blood banks, continuously improve the quality control level of blood collection and supply, promote the homogenization and standardization of blood quality management, and lay the foundation for comprehensive evaluation of blood banks in Shandong.

【Objective】 To establish an effective quality indicator monitoring system, scientifically and objectively evaluate the quality management level of blood banks, and achieve continuous improvement of quality management in blood bank. 【Methods】 A quality monitoring indicator system that covers the whole process of blood collection and supply was established, the questionnaire of Quality Monitoring Indicators for Blood Collection and Supply Process with clear definition of indicators and calculation formulas was distributed to 17 blood banks in Shandong. Statistical analysis of 21 quality monitoring indicators in terms of blood donation service (10 indicators), blood component preparation (7 indicators ), and blood supply (4 indicators) from each blood bank from January to December 2022 were conducted using SPSS25.0 software The differences in quality monitoring indicators of blood banks of different scales were analyzed. 【Results】 The average values of quality monitoring indicators for blood donation service process of 17 blood banks were as follows: 44.66% (2 233/5 000) of regular donors proportion, 0.22% (11/50) of adverse reactions incidence, 0.46% (23/5 000) of non-standard whole blood collection rate, 0.052% (13/25 000) of missed HBsAg screening rate, 99.42% (4 971/5 000) of first, puncture successful rate, 86.49% (173/200) of double platelet collection rate, 66.50% (133/200) of 400 mL whole blood collection rate, 99.25% (397/400) of donor satisfaction rate, 82.68% (2 067/2 500) of use rate of whole blood collection bags with bypass system with sample tube, and 1 case of occupational exposure in blood collection.There was a strong positive correlation between the proportion of regular blood donors and the collection rate of 400 mL whole blood (P<0.05). The platelet collection rate, incidence of adverse reactions to blood donation, and non-standard whole blood collection rate in large blood banks were significantly lower than those in medium and small blood banks (P<0.05). The average quality monitoring indicators for blood component preparation process of 17 blood banks were as follows: the leakage rate of blood component preparation bags was 0.03% (3/10 000), the discarding rate of lipemic blood was 3.05% (61/2 000), the discarding rate of hemolysis blood was 0.13%(13/10 000). 0.06 case had labeling errors, 8 bags had blood catheter leaks, 2.76 bags had blood puncture/connection leaks, and 0.59 cases had non-conforming consumables. The discarding rate of hemolysis blood of large blood banks was significantly lower than that of medium and small blood banks (P<0.05), and the discarding rate of lipemic blood of large and medium blood banks was significantly lower than that of small blood banks (P<0.05). The average values of quality monitoring indicators for blood supply process of 17 blood banks were as follows: the discarding rate of expired blood was 0.023% (23/100 000), the leakage rate during storage and distribution was of 0.009%(9/100 000), the discarding rate of returned blood was 0.106% (53/50 000), the service satisfaction of hospitals was 99.16% (2 479/2 500). The leakage rate of blood components during storage and distribution was statistically different with that of blood component preparation bags between different blood banks (P<0.05). There were statistically significant differences in the proportion of regular blood donors, incidence of adverse reactions, non-standard whole blood collection rate, 400 mL whole blood collection rate, double platelet collection rate, the blood bag leakage rate during preparation process, the blood components leakage rate during storage and distribution as well as the discarding rate of lipemic blood, hemolysis blood, expired blood and returned blood among large, medium and small blood banks (all P<0.05). 【Conclusion】 The establishment of a quality monitoring indicator system for blood donation services, blood component preparation and blood supply processes in Shandong has good applicability, feasibility and effectiveness. It can objectively evaluate the quality management level, facilitate the continuous improvement of the quality management system, promote the homogenization of blood management in the province and lay the foundation for future comprehensive evaluation of blood banks.

Dysregulated Epiregulin(EREG)can activate epidermal growth factor receptor(EGFR)and promote tumor progression in head and neck squamous cell carcinoma(HNSCC).However,the mechanisms underlying EREG dysregulation remain largely unknown.Here,we showed that dysregulated EREG was highly associated with enhanced PDL1 in HNSCC tissues.Treatment of HNSCC cells with EREG resulted in upregulated PDL1 via the c-myc pathway.Of note,we found that N-glycosylation of EREG was essential for its stability,membrane location,biological function,and upregulation of its downstream target PDL1 in HNSCC.EREG was glycosylated at N47 via STT3B glycosyltransferases,whereas mutations at N47 site abrogated N-glycosylation and destabilized EREG.Consistently,knockdown of STT3B suppressed glycosylated EREG and inhibited PDL1 in HNSCC cells.Moreover,treatment of HNSCC cells with NGI-1,an inhibitor of STT3B,blocked STT3B-mediated glycosylation of EREG,leading to its degradation and suppression of PDL1.Finally,combination of NGI-1 treatment with anti-PDLl therapy synergistically enhanced the efficacy of immunotherapy of HNSCC in vivo.Taken together,STT3B-mediated N-glycosylation is essential for stabilization of EREG,which mediates PDL1 upregulation and immune evasion in HNSCC.

Dysregulated Epiregulin(EREG)can activate epidermal growth factor receptor(EGFR)and promote tumor progression in head and neck squamous cell carcinoma(HNSCC).However,the mechanisms underlying EREG dysregulation remain largely unknown.Here,we showed that dysregulated EREG was highly associated with enhanced PDL1 in HNSCC tissues.Treatment of HNSCC cells with EREG resulted in upregulated PDL1 via the c-myc pathway.Of note,we found that N-glycosylation of EREG was essential for its stability,membrane location,biological function,and upregulation of its downstream target PDL1 in HNSCC.EREG was glycosylated at N47 via STT3B glycosyltransferases,whereas mutations at N47 site abrogated N-glycosylation and destabilized EREG.Consistently,knockdown of STT3B suppressed glycosylated EREG and inhibited PDL1 in HNSCC cells.Moreover,treatment of HNSCC cells with NGI-1,an inhibitor of STT3B,blocked STT3B-mediated glycosylation of EREG,leading to its degradation and suppression of PDL1.Finally,combination of NGI-1 treatment with anti-PDLl therapy synergistically enhanced the efficacy of immunotherapy of HNSCC in vivo.Taken together,STT3B-mediated N-glycosylation is essential for stabilization of EREG,which mediates PDL1 upregulation and immune evasion in HNSCC.

Objective:To observe the impact of core stability training in the sling exercise therapy pattern on the balance of stroke survivors.Methods:Sixty stroke survivors were randomly divided into a control group ( n=30) and an experimental group ( n=30). In addition to routine rehabilitation training, the control group received traditional core stability training, while the experimental group underwent core stability training applying the sling exercise therapy pattern. Before and after 4 weeks of training, the standing balance of both groups was evaluated using the Prokin balance trainer, with the length and area of motion recorded when performing the balance test with the eyes open and closed. Surface electromyography was used to record the average EMG (AEMG) values of the bilateral erector spinae and multifidus muscles during the balance testing. Results:After the 4 weeks of training the length and the area of progression of the center of the pressure were both significantly smaller for both groups than before the training with the eyes both open and closed. The average length and area in the experimental group were significantly less than among the controls. The AEMG values recorded during the balance tests were significantly higher than those before the intervention for both groups, with the multifidus muscle averages on the affected side significantly greater in the experimental group than among the controls when performing the balance test with the eyes closed.Conclusion:Core stability training in the sling exercise therapy pattern is superior to conventional core stability training because it can better improve the balance of stroke survivors.

Objective:To analyze risk factors for diabetes mellitus in patients with vitiligo, and to construct and validate a prediction model.Methods:A total of 110 vitiligo patients with diabetes mellitus (comorbidity group) and 4 505 vitiligo patients without diabetes mellitus (control group) were collected from the medical record database in Xijing Hospital, the Fourth Military Medical University from January 2010 to October 2021, and matched for gender and age at a ratio of 1∶4 by using a propensity score method. After matching, the matched pairs were randomly divided into a training set and a test set at a ratio of 4∶1. Univariate and multivariate logistic regression analyses were used to assess demographic and clinical characteristics of patients in the training set, screen differential factors, and construct a prediction model. A five-fold cross-validation method was used for internal validation after construction of the prediction model. The discrimination (area under the curve [AUC]) , calibration (Hosmer-Lemeshow test) and accuracy (sensitivity, specificity, positive predictive value, and negative predictive value) of the prediction model were evaluated in the test set.Results:A total of 107 cases in the comorbidity group and 428 cases in the control group were successfully matched. The training set included 430 cases, and the test set included 105 cases. Based on multivariate logistic regression results, a total of 6 factors were included in the prediction model, including course of vitiligo (odds ratio [ OR] = 1.04, 95% confidence interval [ CI]: 1.02 - 1.07, P<0.001) , high-sugar/high-fat/high-salt diet ( OR = 3.19, 95% CI: 1.38 - 7.38, P = 0.007) , family history of diabetes ( OR = 23.23, 95% CI: 9.72 - 55.50, P<0.001) , metabolic comorbidities ( OR = 12.53, 95% CI: 5.60 - 28.07, P<0.001) , autoimmune comorbidities ( OR = 5.89, 95% CI: 2.52 - 13.76, P<0.001) , and acral vitiligo ( OR = 3.84, 95% CI: 1.45 - 10.19, P = 0.007) . Five-fold cross-validation results showed a good predictive performance of the prediction model, with the AUC being 0.902 (95% CI: 0.864 - 0.940) in the training set and 0.895 (95% CI: 0.815 - 0.974) in the test set. The prediction model also showed favourable discrimination (AUC =0.814, 95% CI: 0.715 - 0.913) , calibration (Hosmer-Lemeshow test, P = 0.068) , and accuracy (sensitivity = 0.810, 95% CI: 0.574 - 0.937; specificity = 0.786, 95% CI: 0.680 - 0.865; positive predictive value = 0.486, 95% CI: 0.317 - 0.657; negative predictive value = 0.943, 95% CI: 0.853 - 0.982) in the test set. Conclusion:A risk prediction model was constructed for diabetes mellitus in patients with vitiligo based on 6 factors (course of vitiligo, high-sugar/high-fat/high-salt diet, family history of diabetes, metabolic comorbidities, autoimmune comorbidities, and acral vitiligo) , which showed favourable discrimination, calibration and accuracy, and might provide a reference for screening the high-risk diabetic population in vitiligo patients.