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【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
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【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, P0.05), 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.
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【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.
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【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.
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【Objective】 To investigate the changes of platelet microRNA (miRNA) expression profiles on d1 and d5 during storage with riboflavin and ultraviolet-B (UVB) light (VB2-PRT) treatment, and to explore the molecular mechanism of miRNAs involved in the regulation of platelet storage lesion (PSL) under VB2-PRT treatment. 【Methods】 20 apheresis platelet concentrates (5mL / sample) were collected from voluntary blood donors. After mixing and shaking, the samples was treated with riboflavin (final concentration 50 μmol/L) and 6.24J/mL UVB light for 8min, then split into two aliquots and agitated stored at (22±2) ℃. The concentrates were sampled (5mL) on d1 and d5, respectively, and sequenced by DNA nanoball (DNB) sequencing technology. The differentially expressed miRNAs between the two groups (at different storage periods) were screened by DEGseq and MA-plot analysis software. The miRNAs, reached more than 2 times different expression between groups, were considered significant different(P<0.01). The miRanda and TargetScan softwares were used to predict the target genes. Gene Ontology (GO) function enrichment analysis and Kyoto Encyclopedia of genes and genomes (KEGG) pathway enrichment analysis were performed on the target genes of significant differentially expressed miRNAs. The expression of miRNAs was verified by real-time fluorescence quantitative PCR (qRT-PCR). 【Results】 miRNA expression profile: compared with d1 platelets, there were 590 miRNAs with significantly different expression (P< 0.01) in d5 group, including 255 up-regulated miRNAs (such as miR-99b, miR-7) and 335 down regulated miRNAs (such as miR-451a, miR-19b). Among the 272 known miRNAs, 112 were up-regulated and 160 were down regulated. There were 318 new miRNAs sequences. The enriched GO terms of target genes of differentially expressed miRNAs in d5 and d1 groups included cell components, organelles, cell membranes and other cellular structures, molecular functions such as adhesion, catalysis, molecular conversion, transportation, transcription factor and receptor activity, and biological processes such as cell processing, metabolism, biological regulation and stress. The corresponding pathways in the top 10 of KEGG enrichment were mainly secretion, glucose metabolism, signal transduction, membrane transport, translation, environmental adaptation and other signal pathways. The six randomly selected differentially expressed miRNAs verified by qRT-PCR was consistent with those of DNB sequencing. 【Conclusion】 The expression profiles of platelets miRNAs has changed significantly between d1- and d5-storage under VB2-PRT treatment. Functional prediction suggests that these miRNAs might be involved in the regulation of platelet PSL underVB2-PRT treatment.
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【Objective】 To investigate the changes of platelet microRNA (miRNA) expression profiles of storage in vitro, and to explore the molecular mechanism of miRNAs involved in the regulation of platelet storage lesion (PSL). 【Methods】 20 platelet samples (5 mL / sample) were collected from apheresis platelet donors, fully mixed and stored in a shaker with (22±2) ℃ horizontal agitation, sampled on day 1 and day 5, and sequenced by DNA nanoball (DNB) sequencing technology. The miRNAs with more than 2 times expressions (P<0.01) were considered as significantly differences between d5 and d1 groups. The miRanda and TargetScan softwares were used to predict the target genes. Gene Ontology (GO) function enrichment analysis and Kyoto Encyclopedia of genes and genomes (KEGG) pathway enrichment analysis were performed on the target genes of significant differentially expressed miRNAs. The expression of miRNAs was verified by real-time fluorescence quantitative PCR (qRT-PCR). 【Results】 Compared with d1 group, 315 miRNAs with significantly different expression (P<0.01) were screened in d5 group, including 146 up-regulated miRNAs (such as miR-146a, let-7b), and 169 down-regulated miRNAs (such as mir-30d, mir-142). Among 126 known miRNAs, 43 were up-regulated and 83 were down-regulated. There are 189 new miRNA sequences. The enriched GO terms of target genes of differentially expressed miRNAs in d5 and d1 groups included cell components, organelles, cell membrane and other cell structures, molecular functions such as adhesion, catalysis and activity, and biological processes such as cell processing, metabolism, biological regulation and stress. The corresponding pathways in the top 10 of KEGG enrichment were mainly signal transduction, secretion, membrane transport, amino acid metabolism, polysaccharide metabolism, protein synthesis and environmental adaptation. The 6 randomly selected differentially expressed miRNAs verified by qRT-PCR were consistent with those of DNB sequencing. 【Conclusion】 The expression profiles of platelets miRNAs have changed significantly between the d1 and d5 of storage in vitro. Functional prediction suggested that these miRNAs might be involved in the regulation of platelet PSL.
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OBJECTIVE@#To analyze the action of miRNA-326 on its target gene BCL-XL and the molecular mechanism of platelet apoptosis regulated by miRNAs.@*METHODS@#Dual-luciferase vectors containing respectively the wild-type and mutant 3'-untranslated region (3'UTR) fragments of the BCL-XL gene were constructed with firefly and renilla luciferases and transfected into 293T cells. Relative fluorescence intensities of the transfected cells were measured.@*RESULTS@#Dual-luciferase reporter gene vectors for PsiCHECK- BCL-XL -3'UTR-WT (wild-type) and PsiCHECK- BCL-XL -3' UTR-MT (variant) were respectively constructed. Relative fluorescence intensities of the 293T cells co-transfected by miRNA-326 and PsiCHECK- BCL-XL -3'UTR-WT plasmid were significantly lower compared with the control group (co-transfected by a miRNA-326 negative sequence and PsiCHECK- BCL-XL -3' UTR-WT plasmid) ( P = 0.034). The relative fluorescence intensity was also significantly reduced in cells co-transfected by miRNA-326 and PsiCHECK- BCL-XL -3' UTR-WT plasmid compared with the mutant control group co-transfected by miRNA-326 and PsiCHECK- BCL-XL -3'UTR-MT plasmid (P = 0.022).@*CONCLUSION@#miRNA-326 may participate in the regulation of platelet apoptosis by acting on the 3'-UTR of the BCL-XL gene.
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Objective To compare the clinical characteristics of community-acquired acute kidney injury (CA-AKI) and hospital-acquired acute kidney injury (HA-AKI) patients.Methods Hospital network system was employed to screen the clinical data of adult patients in the First Affiliated Hospital in Xinjiang Medical University in January to July 2013.A total of 19 528 patients were screened,and 544 AKI patients were identified based on KIDGO (Kidney Disease:Improving Global Outcomes) AKI guidelines.Three hundred and thirty patients were included in HA-AKI group and 214 patients in CA-AKI group.Clinical variables including mortality were analyzed retrospectively.Results The incidence of AKI in hospitalized patients was 2.8％ (544/19 528):1.7％ in CA-AKI group and 1.1％ in HA-AKI group.The mean age in CA-AKI group was significantly older than that in HA-AKI group [(62.9 ± 16.8) years vs (56.6± 15.9) years].Medical patients in CA-AKI group accounted for 62.4％,and surgical patients in HA-AKI group accounted for 64.1％.The co-morbid diseases were cardiac disease,hypertension,diabetes and chronic liver disease.Majority of AKI was caused by pre-renal etiologies.The length of hospitalization was significantly shorter in CA-AKI group compared to that in HA-AKI group [12(8,20) days vs 19 (12,27) days,P ＜ 0.01].Compared to that in HA-AKI group,all-cause mortality was significantly lower in CA-AKI group (11.5％ vs 20.1％,P=0.005).Results by multivariate logistic regression analysis demonstrated that the common independent risk factors of AKI in both groups were ICU hospitalization and shock.The independent risk factor of AKI in CA-AKI group was diabetes (OR=3.019).In contrary,the independent risk factors of AKI in HA-AKI group were elderly (≥65 years) (OR=3.303),oliguria (24 h urine volume ＜ 400 ml) (OR=6.906),use of antiinflammatory drugs (OR=13.079) and multiple organ dysfunction syndrome (OR=17.778).Conclusions The incidence of AKI in hospitalized patients is not rare,among which both communityacquired and hospital-acquired AKI are mainly caused by pre-renal etiologies.All-cause mortality is lower in community-acquired AKI compared to that in hospital-acquired AKI and the independent risk factors are different between CA-AKI and HA-AKI.