【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.

Objectives:To establish a risk prediction model for gastrointestinal bleeding after cardiopulmonary bypass heart surgery,and to verify the prediction efficacy. Methods:A total of 1 002 patients who underwent cardiopulmonary bypass heart surgery in the department of cardiac great vascular surgery of our hospital from January 2019 to November 2023 were collected by convenient sampling method.They were divided into gastrointestinal bleeding group(n=47)and non-gastrointestinal bleeding group(n=955).Logistic regression analysis was used to establish the risk prediction model,and the area under ROC curve test and Hosmer-Lemeshow χ2 test were used to compare the two groups of data Model prediction effect.Bootstrap method was used for internal validation. Results:The risk prediction model of gastrointestinal bleeding after cardiopulmonary bypass heart surgery included four predictors:time of aortic occlusion(OR=1.021,95%CI:1.012-1.030),history of digestive disease(OR=5.710,95%CI:1.697-19.212),use of intra-aortic balloon counterpulsation(OR=22.180,95%CI:5.870-83.808),and continuous kidney replacement therapy(OR=12.159,95%CI:5.066-29.181).Model formula:Logit(P)=-5.821+0.021×time of aortic occlusion+1.742×history of digestive disease+3.099×whether intra-aortic balloon counterpulsation was used+2.498×whether continuous renal replacement therapy was used.The area under ROC curve was 0.812(95%CI:0.746-0.877),sensitivity was 64.6%,specificity was 85.7%,and Youden index was 0.503.After internal validation by Bootstrap method,the consistency index after correction is 0.813. Conclusions:The risk prediction model constructed in this study cohort has a good auxiliary prediction performance for the occurrence of gastrointestinal bleeding after cardiopulmonary bypass surgery,which is helpful for risk stratification for gastrointestinal bleeding after cardiopulmonary bypass surgery and facilitate clinical decision-making in daily clinical work.

ObjectiveTo explore the application value of CT pulmonary angiography (CTPA) in assessing the severity of acute pulmonary embolism (APE) and right heart function in rehabilitation patients. MethodsFrom January, 2013 to January, 2020, 133 inpatients (94 positive and 39 negative) who underwent CTPA examination in Beijing Bo'ai Hospital were involved. Positive patients were further divided into mild, moderate and severe groups based on the pulmonary artery obstruction index (PAOI). The clinical parameters and right heart function indicators were compared. Spearman correlation analysis was used to analyze the correlation between PAOI, and clinical parameters and right heart function indicators, and Logistic regression analysis was used to predict the risk factors of APE. ResultsThere was significant difference in lower extremity venous thrombosis, D-dimer, oxygen partial pressure, PAOI and left process of interventricular septum among four groups (H ≥ 12.350, P < 0.01). PAOI was moderately positively correlated with D-dimer (r = 0.443, P < 0.001) and left process of interventricular septum (r = 0.520, P < 0.001), and was weakly positively correlated with lower extremity venous thrombosis (r = 0.399, P < 0.001), left pulmonary artery diameter (r = 0.213, P = 0.014) and inferior vena cava regurgitation (r = 0.229, P = 0.008). Lower extremity venous thrombosis (OR = 7.708, P < 0.001) and left process of interventricular septum (OR = 3.641, P = 0.008) were independent risk factors for the onset of APE. The combination of the two indicators was effective for diagnosis of APE, and AUC was 0.795 (95% CI 0.715 to 0.874). ConclusionCTPA may be applied to evaluate the severity of APE and right heart function in rehabilitation patients.

Objective:To investigate the role of down-regulating serine racemase (SRR) in alleviating the β-amyloid peptide (Aβ) induced neurotoxicity and synaptic damage and possible mechanism in PC12 cells.Methods:(1) PC12 cells cultured in vitro were divided into 0, 20, 40 and 80 μmol/L Aβ 25-35 treatment groups; they were treated with 0, 20, 40 and 80 μmol/L Aβ 25-35 for 24 h, respectively; cell counting kit (CCK)-8 was used to detect the survival rate of cells in each group, and Western blotting was used to detect the SRR protein expression. PC12 cells were treated with 40 μmol/L Aβ 25-35 for 0, 12, 24 and 48 h, respectively; cell survival and SRR protein expression were detected by CCK-8 and Western blotting, respectively. (2) PC12 cells were divided into control group, nonsense sequence group, SRR small interfering RNA (siRNA) group 1, SRR siRNA group 2, and SRR siRNA group 3; cells in the later three groups were transfected with SRR nonsense sequence or different SRR siRNA sequences, respectively; 48 h after that, Western blotting was used to detect the SRR protein expression of cells in each group, and SRR siRNA with best effect was selected for subsequent experiments. (3) PC12 cells were divided into control group, AD group, AD+nonsense sequence group, and AD+SRR siRNA group; cells in the latter two groups were transfected with nonsense sequence or SRR siRNA for 48 h, respectively; cells in the latter three groups were added 40 μmol/L Aβ 25-35, and cells in the control group were added same amount of solvent; 24 h after treatment, the SRR protein expression was detected by Western blotting, cell survival was detected by CCK-8, cell apoptosis was detected by Hoechst 33258 fluorescent staining, Caspase 3 activity was detected by enzyme linked immunosorbent assay, and the expressions of activated Caspase 3, N-methyl- D aspartate (NMDA) receptor-associated proteins and postsynaptic dense protein 95 (PSD95) were detected by Western blotting. Results:(1) The survival rate of cells in 0, 20, 40 and 80 μmol/L Aβ 25-35 treatment groups was successively decreased and the SRR protein expression was successively increased, with significant differences ( P<0.05); PC12 cells treated with 40 μmol/L Aβ 25-35 for 0, 12, 24 and 48 h had successively decreased survival rate and successively increased SRR protein expression, with significant differences ( P<0.05). (2) The SRR protein expressions in the SRR siRNA group 1, SRR siRNA group 2 and SRR siRNA3 group 3 were significantly decreased as compared with those in the control group and nonsense sequence group ( P<0.05), and the decrease in the SRR siRNA group 2 was the most obvious. (3) As compared with the control group, the cells in the AD group had significantly increased SRR protein expression and apoptosis rate, statistically decreased cell survival rate, significantly increased Caspase 3 activity and activated Caspase 3 protein expression, significantly increased protein expressions of NMDA receptor 2A (NMDAR2A) and NMDA receptor 2B(NMDAR2B), and statistically decreased PSD95 protein expression ( P<0.05); as compared with cells in the AD group, cells in the AD+SRR siRNA group had significantly decreased SRR protein expression and apoptosis rate, statistically increased cell survival rate, significantly decreased Caspase 3 activity and activated Caspase 3 protein expression, significantly decreased NMDAR2A protein expression, and statistically increased PSD95 protein expression ( P<0.05). Conclusion:Down-regulation of SRR expression can reduce the NMDAR2A protein expression, alleviate the over-activation of NMDA receptor, reduce the cell apoptosis, improve cell survival rate, protect nerve cells, increase PSD95 protein expression, and alleviate synaptic damage in PC12 cells.

Objective: To investigate the hearing loss and speech disorders in the elderly, to analyze the risk factors of the elderly deafness, as well as to provide reference for the clinical research of the elderly deafness. Methods: From March 2016 to March 2018, 913 elderly people, who were tested for hearing and speech disorders, were examined by a unified questionnaire to investigate the demographic data of the subjects and the related factors of deafness, and the hearing and speech recognition tests were carried out. According to the hearing loss, the hearing impaired group was divided into the hearing impaired group (500, 1 000, 2 000 and 4 000 Hz, the average hearing threshold>25 dBHL) and the non hearing impaired group (the average hearing threshold of the four frequencies ≤25 dBHL), and then the single factor analysis and the unconditional Logistic regression analysis were used. Finally, the risk factors of senile deafness were analyzed. Results: Of the 913 elderly subjects in the survey, 389 (42.61%, 389/913) had no hearing impaired, 345 (37.79%, 345/913) were mild hearing impaired, and 149 (16.32%, 149/913) had moderate hearing loss. Twenty-six patients were severe hearing loss (2.85%, 26/913); 4 patients had severe hearing loss (0.44%, 4/913). Among the 524 hearing-impaired elderly, there were 244 speech-recognition disorders (46.56%, 244/524), of whom 106 were mild hearing-impaired, accounting for 30.72% (106/345), 108 were moderate hearing loss, accounting for 72.48% (108/149), 26 were severe hearing loss, accounting for 100% (26/26), and 4 were the profound hearing loss, accounting for 100% (4/4). Statistical analysis showed that the age, job status, history of hypertension, history of hyperglycemia, and smoking history were independent risk factors for senile hearing loss (P<0.05). Conclusions High incidences of hearing and speech recognition obstacle are found in health examination for the elderly patients. Noise exposure, age, history of hypertension, high blood sugar, and smoking history are high-risk factors for senile deafness, therefore, prevention and rehabilitation programs are urgent to be developed.

Nonalcoholic steatohepatitis (NASH) may progress to end-stage liver disease,and needs medical intervention.Hepatocellular carcinoma (HCC) may occur in patients with NASH prior to occurrence of cirrhosis.There is paucity of knowledge in understanding how NASH progresses to HCC.The present overview intends to provide updates in clinical and basic research of NASH-HCC,challenges and strategies in understanding its pathogenesis and solutions to increased incidence.

Nursing risk management is an important part of nursing management and of great significance to improve patient safety and nursing quality. This article summarized systematically current studies and effects of nursing risk management in ICU. Besides, this paper provided strategies about nursing risk management of ICU combined with the development of foreign nursing risk management so as to provide nursing risk early warning,avoid nursing risk and decrease the incidences of nursing risks and accidents.

Objective: To investigate the effects of costunolide (Cos) on the proliferation, apoptosis, migration andinvasion of cholangiocarcinoma RBE cells, and explore its potential mechanism. Methods: The CCK-8, flow cytometry,Annexin V-FITC/PI double staining, Transwell assays were used to examine the influence of Cos on proliferation, cell cycle, apoptosis, migration and invasion of RBE cells after treated with gradient concentrations of Cos. The expressions of M M P 2 and M M P 9 were detected by qRT-PCR, and the expression of PI3K/AKT-associated signal proteins was detected by Western blotting. Results: Cosdose-dependently inhibited proliferation activity of RBE cells( P <0.05 or P <0.01), arrested cell cycle at S and G2/M phases and induced RBE cell apoptosis( P <0.01). Transwell and qRT-PCR results demonstrated that Cos impeded RBE cell migration, invasion, and reduced the transcription of M M P 2 and M M P 9 . Cos inhibited the expressionofp-AKT, Bcl-2, MMP2 and MMP9, the level of Bax. Conclusion: Cos restrained the proliferation, migration and invasion of RBE cells by suppressing PI3K/AKTpathway.