Objective To explore the risk factors for postoperative respiratory failure (RF) in patients with esophageal cancer, construct a predictive model based on the least absolute shrinkage and selection operator (LASSO)-logistic regression, and visualize the constructed model. Methods A retrospective analysis was conducted on patients with esophageal cancer who underwent surgical treatment in the Department of Thoracic Surgery, Sun Yat-sen University Cancer Center Gansu Hospital from 2020 to 2023. Patients were divided into a RF group and a non-RF (NRF) group according to whether RF occurred after surgery. Clinical data of the two groups were collected, and LASSO-logistic regression was used to optimize feature selection and construct the predictive model. The model was internally validated by repeated sampling 1000 times based on the Bootstrap method. Results A total of 217 patients were included, among which 24 were in the RF group, including 22 males and 2 females, with an average age of (63.33±9.10) years; 193 were in the NRF group, including 161 males and 32 females, with an average age of (62.14±8.44) years. LASSO-logistic regression analysis showed that the percentage of forced expiratory volume in one second/forced vital capacity (FEV1/FVC) to predicted value (FEV1/FVC%pred) [OR=0.944, 95%CI (0.897, 0.993), P=0.026], postoperative anastomotic fistula [OR=4.106, 95%CI (1.457, 11.575), P=0.008], and postoperative lung infection [OR=3.776, 95%CI (1.373, 10.388), P=0.010] were risk factors for postoperative RF in patients with esophageal cancer. Based on the above risk factors, a predictive model was constructed, with an area under the receiver operating characteristic curve of 0.819 [95%CI (0.737, 0.901)]. The Hosmer-Lemeshow test for the calibration curve showed that the model had good goodness of fit (P=0.527). The decision curve showed that the model had good clinical net benefit when the threshold probability was between 5% and 50%. Conclusion FEV1/FVC%pred, postoperative anastomotic fistula, and postoperative lung infection are risk factors for postoperative RF in patients with esophageal cancer. The predictive model constructed based on LASSO-logistic regression analysis is expected to help medical staff screen high-risk patients for early individualized intervention.

ObjectiveTo investigate the role of mature-tRNA-Asp-GTC and pre-tRNA-Arg-TCT in the ferroptosis phenotype of ovarian cancer （OC） cells and the regulatory mechanism of gypenoside L （Gyp-L） on mature-tRNA-Asp-GTC and pre-tRNA-Arg-TCT in OC cells. MethodsThe proliferation of human ovarian adenocarcinoma OVCAR3 cells was detected by cell counting kit-8 （CCK-8） assay， and the half-maximal inhibitory concentration （IC₅₀） values of cisplatin （DDP）， Gyp-L， and DDP in the presence of Gyp-L were calculated to determine the intervention concentration for subsequent experiments. Cell cloning assay and scratch assay reflected the proliferation and migration ability of OVCAR3 cells. PANDORA-seq small RNA sequencing was used to detect the differentially expressed transfer RNA-derived small RNAs （tsRNAs） in the cells after Gyp-L intervention， and the corresponding target genes of the tsRNAs were found by the RNAhybrid software. Malondialdehyde （MDA）， glutathione （GSH）， and lipid peroxide （LPO） levels were measured by colorimetry or enzyme linked immunosorbent assay （ELISA） method， Fe²⁺ content by FerroOrange fluorescent probe， and reactive oxygen species （ROS） content by DCFH-DA fluorescent probe to reflect the occurrence of ferroptosis in OVCAR3 cells. OVCAR3 cells were divided into a control group， a 50 µmol·L^-1 Gyp-L group， and a 100 µmol·L^-1 Gyp-L group. Quantitative real-time polymerase chain reaction （PCR） was performed to detect the expression of mature-tRNA-Asp-GTC， mature-tRNA-Leu-CAA， mature-mt_tRNA-Tyr-GTA_5_end， mature-tRNA-Val-CAC， mature-mt_tRNA-Glu-TTC， pre-tRNA-Arg-TCT， mature-tRNA-Asn-GTT， hydroxymethylbilane synthase （HMBS）， Wnt， β-catenin， glutathione peroxidase 4 （GPX4）， Kelch-like ECH-associated protein 1 （KEAP1）， nuclear factor erythroid 2-related factor 2 （Nrf2）， activating transcription factor 3 （ATF3）， cystine/glutamate antiporter xCT， lysophosphatidylcholine acyltransferase 3 （LPCAT3）， and arachidonate 15-lipoxygenase （ALOX15）. Western blot was performed to detect the expression of HMBS， Wnt， β-catenin， GPX4， KEAP1， Nrf2， ATF3， xCT， LPCAT3， and ALOX15 proteins. ResultsThe 50 µmol·L^-1 Gyp-L， 100 µmol·L^-1 Gyp-L， DDP， 50 µmol·L^-1 Gyp-L+DDP， and 100 µmol·L^-1 Gyp-L+DDP groups showed significantly inhibited proliferation and migration of OVCAR3 cells （P<0.05） and exacerbated cell ferroptosis as reflected by the increase in the content of ROS， MDA， LPO， and Fe²⁺， as well as a decrease in the content of GSH （P<0.05）. Compared with the control group， Gyp-L effectively interfered with the expression of 25 tsRNAs in OVCAR3 cells （P<0.05， |log₂Fc|>1）. Pre-tRNA-Arg-TCT/HMBS/Wnt/β-catenin/GPX4， pre-tRNA-Arg-TCT/KEAP1/NRF2/xCT， mature-tRNA-Asp-GTC/ATF3/KEAP1/NRF2/xCT， and mature-tRNA-Asp-GTC/LPCAT3/ALOX15 axial expression was significantly aberrant after Gyp-L intervention （P<0.05）. ConclusionThe pre-tRNA-Arg-TCT/HMBS/Wnt/β-catenin/GPX4， pre-tRNA-Arg-TCT/KEAP1/Nrf2/xCT， mature-tRNA-Asp-GTC/ATF3/KEAP1/Nrf2/xCT， and mature-tRNA-Asp-GTC/LPCAT3/ALOX15 signaling pathways are involved in OC development. Gyp-L inhibits OC development by activating OVCAR3 cell ferroptosis onset mainly through the mature-tRNA-Asp-GTC/ATF3/KEAP1/Nrf2/xCT and mature-tRNA-Asp-GTC/LPCAT3/ALOX15 signaling axes.

ObjectiveTo investigate the role of mature-tRNA-Asp-GTC and pre-tRNA-Arg-TCT in the ferroptosis phenotype of ovarian cancer （OC） cells and the regulatory mechanism of gypenoside L （Gyp-L） on mature-tRNA-Asp-GTC and pre-tRNA-Arg-TCT in OC cells. MethodsThe proliferation of human ovarian adenocarcinoma OVCAR3 cells was detected by cell counting kit-8 （CCK-8） assay， and the half-maximal inhibitory concentration （IC₅₀） values of cisplatin （DDP）， Gyp-L， and DDP in the presence of Gyp-L were calculated to determine the intervention concentration for subsequent experiments. Cell cloning assay and scratch assay reflected the proliferation and migration ability of OVCAR3 cells. PANDORA-seq small RNA sequencing was used to detect the differentially expressed transfer RNA-derived small RNAs （tsRNAs） in the cells after Gyp-L intervention， and the corresponding target genes of the tsRNAs were found by the RNAhybrid software. Malondialdehyde （MDA）， glutathione （GSH）， and lipid peroxide （LPO） levels were measured by colorimetry or enzyme linked immunosorbent assay （ELISA） method， Fe²⁺ content by FerroOrange fluorescent probe， and reactive oxygen species （ROS） content by DCFH-DA fluorescent probe to reflect the occurrence of ferroptosis in OVCAR3 cells. OVCAR3 cells were divided into a control group， a 50 µmol·L^-1 Gyp-L group， and a 100 µmol·L^-1 Gyp-L group. Quantitative real-time polymerase chain reaction （PCR） was performed to detect the expression of mature-tRNA-Asp-GTC， mature-tRNA-Leu-CAA， mature-mt_tRNA-Tyr-GTA_5_end， mature-tRNA-Val-CAC， mature-mt_tRNA-Glu-TTC， pre-tRNA-Arg-TCT， mature-tRNA-Asn-GTT， hydroxymethylbilane synthase （HMBS）， Wnt， β-catenin， glutathione peroxidase 4 （GPX4）， Kelch-like ECH-associated protein 1 （KEAP1）， nuclear factor erythroid 2-related factor 2 （Nrf2）， activating transcription factor 3 （ATF3）， cystine/glutamate antiporter xCT， lysophosphatidylcholine acyltransferase 3 （LPCAT3）， and arachidonate 15-lipoxygenase （ALOX15）. Western blot was performed to detect the expression of HMBS， Wnt， β-catenin， GPX4， KEAP1， Nrf2， ATF3， xCT， LPCAT3， and ALOX15 proteins. ResultsThe 50 µmol·L^-1 Gyp-L， 100 µmol·L^-1 Gyp-L， DDP， 50 µmol·L^-1 Gyp-L+DDP， and 100 µmol·L^-1 Gyp-L+DDP groups showed significantly inhibited proliferation and migration of OVCAR3 cells （P<0.05） and exacerbated cell ferroptosis as reflected by the increase in the content of ROS， MDA， LPO， and Fe²⁺， as well as a decrease in the content of GSH （P<0.05）. Compared with the control group， Gyp-L effectively interfered with the expression of 25 tsRNAs in OVCAR3 cells （P<0.05， |log₂Fc|>1）. Pre-tRNA-Arg-TCT/HMBS/Wnt/β-catenin/GPX4， pre-tRNA-Arg-TCT/KEAP1/NRF2/xCT， mature-tRNA-Asp-GTC/ATF3/KEAP1/NRF2/xCT， and mature-tRNA-Asp-GTC/LPCAT3/ALOX15 axial expression was significantly aberrant after Gyp-L intervention （P<0.05）. ConclusionThe pre-tRNA-Arg-TCT/HMBS/Wnt/β-catenin/GPX4， pre-tRNA-Arg-TCT/KEAP1/Nrf2/xCT， mature-tRNA-Asp-GTC/ATF3/KEAP1/Nrf2/xCT， and mature-tRNA-Asp-GTC/LPCAT3/ALOX15 signaling pathways are involved in OC development. Gyp-L inhibits OC development by activating OVCAR3 cell ferroptosis onset mainly through the mature-tRNA-Asp-GTC/ATF3/KEAP1/Nrf2/xCT and mature-tRNA-Asp-GTC/LPCAT3/ALOX15 signaling axes.

ObjectiveTo explore the effect of gypenosides （GPs） on liver lipid deposition in metabolism-associated fatty liver disease （MAFLD） mice and its mechanism based on classical/non-classical ferroptosis. MethodsEight male C57BL/6 mice in a blank group and 32 male apolipoprotein E gene knockout （ApoE^-/-） mice were randomly divided into a model group， a low-dose GPs （GPs-L） group， a high-dose GPs （GPs-H） group， and a simvastatin （SV） group. Starting from the second week， mice in the blank group were given a maintenance diet， and the other four groups were fed a high-fat diet daily. After eight weeks of feeding， mice in the GPs-L and GPs-H groups were given GPs of 1.487 mg·kg^-1·d^-1 and 2.973 mg·kg^-1·d^-1， respectively， and mice in the SV group were given simvastatin of 2.275 mg·kg^-1·d^-1. Mice in the blank group and the model group were given saline of equal volume by gavage for four weeks. The content of total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， alanine aminotransferase （ALT）， and aspartate aminotransferase （AST） in the serum of mice in each group was detected by an automatic biochemical analyzer. The level of non-esterified fatty acid （NEFA） and TG in the mouse liver was measured by the kit. The change in liver tissue structure and lipid deposition was observed by hematoxylin-eosin （HE） and oil red O staining. The levels of coenzyme Q₁₀ （CoQ₁₀）， glutathione （GSH）， malondialdehyde （MDA）， and Fe²⁺ in serum， as well as nicotinamide adenine dinucleotide phosphate ［NAD（P）H］ in the liver were detected by enzyme-linked immunosorbent assay （ELISA）. The expression of ferroptosis suppressor protein 1 （FSP1） in the liver of mice was observed by the immunohistochemical （IHC） method， and the expression of genes and proteins related to classical and non-classical ferroptosis pathways was analyzed by real-time polymerase chain reaction （Real-time PCR） and Wes automated protein expression analysis system. ResultsCompared with those in the blank group， the levels of TC， TG， LDL-C， ALT， and AST in serum and TG and NEFA in the liver in the model group were significantly increased， and the level of HDL-C in serum was significantly decreased （P<0.01）. The liver tissue structure changed， and there were fat vacuoles of different sizes and a large number of red lipid droplets， with obvious lipid deposition. The level of CoQ10 and GSH in serum and NADH in the liver were significantly decreased， while the level of MDA and Fe²⁺ in serum was significantly increased （P<0.01）. The mRNA and protein expressions of cystine/glutamate transporter （xCT/SLC7A11）， glutathione peroxidase （GPX4）， p62， nuclear factor E₂-related factor 2 （Nrf2）， and FSP1 were significantly decreased， and the mRNA and protein expressions of tumor antigen （p53）， spermidine/spermine N1-acetyltransferase 1 （SAT1）， arachidonate 15-lipoxygenase （ALOX15）， and Kelch-like epichlorohydrin-associated protein-1 （Keap1） were significantly increased （P<0.01）. Compared with those in the model group， the level of TC， TG， LDL-C， ALT， and AST in serum and TG and NEFA in the liver of mice in the GPs-L， GPs-H， and SV groups were decreased， while the level of HDL-C in serum was significantly increased （P<0.05， P<0.01）. The liver tissue structure and lipid deposition were improved. The levels of CoQ10 and GSH in serum and NADH in the liver were significantly increased， while the levels of MDA and Fe²⁺ in serum were significantly decreased （P<0.05， P<0.01）. The mRNA and protein expressions of xCT， GPX4， p62， Nrf2， and FSP1 were significantly increased， while the mRNA and protein expressions of p53， SAT1， ALOX15， and Keap1 were significantly decreased （P<0.05， P<0.01）. ConclusionGPs can interfere with liver lipid deposition in MAFLD mice through classical/non-classical ferroptosis pathways.

ObjectiveTo explore the effect of gypenosides （GPs） on liver lipid deposition in metabolism-associated fatty liver disease （MAFLD） mice and its mechanism based on classical/non-classical ferroptosis. MethodsEight male C57BL/6 mice in a blank group and 32 male apolipoprotein E gene knockout （ApoE^-/-） mice were randomly divided into a model group， a low-dose GPs （GPs-L） group， a high-dose GPs （GPs-H） group， and a simvastatin （SV） group. Starting from the second week， mice in the blank group were given a maintenance diet， and the other four groups were fed a high-fat diet daily. After eight weeks of feeding， mice in the GPs-L and GPs-H groups were given GPs of 1.487 mg·kg^-1·d^-1 and 2.973 mg·kg^-1·d^-1， respectively， and mice in the SV group were given simvastatin of 2.275 mg·kg^-1·d^-1. Mice in the blank group and the model group were given saline of equal volume by gavage for four weeks. The content of total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， alanine aminotransferase （ALT）， and aspartate aminotransferase （AST） in the serum of mice in each group was detected by an automatic biochemical analyzer. The level of non-esterified fatty acid （NEFA） and TG in the mouse liver was measured by the kit. The change in liver tissue structure and lipid deposition was observed by hematoxylin-eosin （HE） and oil red O staining. The levels of coenzyme Q₁₀ （CoQ₁₀）， glutathione （GSH）， malondialdehyde （MDA）， and Fe²⁺ in serum， as well as nicotinamide adenine dinucleotide phosphate ［NAD（P）H］ in the liver were detected by enzyme-linked immunosorbent assay （ELISA）. The expression of ferroptosis suppressor protein 1 （FSP1） in the liver of mice was observed by the immunohistochemical （IHC） method， and the expression of genes and proteins related to classical and non-classical ferroptosis pathways was analyzed by real-time polymerase chain reaction （Real-time PCR） and Wes automated protein expression analysis system. ResultsCompared with those in the blank group， the levels of TC， TG， LDL-C， ALT， and AST in serum and TG and NEFA in the liver in the model group were significantly increased， and the level of HDL-C in serum was significantly decreased （P<0.01）. The liver tissue structure changed， and there were fat vacuoles of different sizes and a large number of red lipid droplets， with obvious lipid deposition. The level of CoQ10 and GSH in serum and NADH in the liver were significantly decreased， while the level of MDA and Fe²⁺ in serum was significantly increased （P<0.01）. The mRNA and protein expressions of cystine/glutamate transporter （xCT/SLC7A11）， glutathione peroxidase （GPX4）， p62， nuclear factor E₂-related factor 2 （Nrf2）， and FSP1 were significantly decreased， and the mRNA and protein expressions of tumor antigen （p53）， spermidine/spermine N1-acetyltransferase 1 （SAT1）， arachidonate 15-lipoxygenase （ALOX15）， and Kelch-like epichlorohydrin-associated protein-1 （Keap1） were significantly increased （P<0.01）. Compared with those in the model group， the level of TC， TG， LDL-C， ALT， and AST in serum and TG and NEFA in the liver of mice in the GPs-L， GPs-H， and SV groups were decreased， while the level of HDL-C in serum was significantly increased （P<0.05， P<0.01）. The liver tissue structure and lipid deposition were improved. The levels of CoQ10 and GSH in serum and NADH in the liver were significantly increased， while the levels of MDA and Fe²⁺ in serum were significantly decreased （P<0.05， P<0.01）. The mRNA and protein expressions of xCT， GPX4， p62， Nrf2， and FSP1 were significantly increased， while the mRNA and protein expressions of p53， SAT1， ALOX15， and Keap1 were significantly decreased （P<0.05， P<0.01）. ConclusionGPs can interfere with liver lipid deposition in MAFLD mice through classical/non-classical ferroptosis pathways.

AIM:Using bioinformatics analysis and experiment validation to explore the differential expres-sion genes related to abnormal lipid metabolism in hepatocellular carcinoma(HCC)and the molecular mechanism of pachymaran affecting pyroptosis through squalene epoxidase(SQLE)/nucleotide-binding oligomerization domain-like re-ceptor protein 3(NLRP3)/gasdermin D(GSDMD)signaling pathway.METHODS:(1)The GEO,GSEA,DAVID,STRING and GEPIA databases were employed to screen abnormal lipid metabolism-related differentially expressed genes in HCC.(2)The tumor tissues from HCC patients(n=9)were collected to verify the differential expression of SQLE.(3)The inhibitory effect of pachymaran on the viability of human HCC cell line HepG2 was measured by CCK-8 assay.(4)The HepG2 cells were divided into control group and pachymaran(800 mg/L)group.The cell migration was analyzed by wound-healing assay,and RT-qPCR was used to measure SQLE mRNA expression.(5)The HepG2 cells with overexpres-sion of SQLE(OE-SQLE)were divided into 5 groups as follows:control group,overexpression negative control(OE-NC)group,OE-SQLE group,OE-NC+pachymaran group,and OE-SQLE+pachymaran group.The mRNA and protein expres-sion levels of SQLE and pyroptosis-related factors were determined by RT-qPCR and Western blot.Colorimetric method and ELISA were used to measure lactate dehydrogenase(LDH),interleukin-1β(IL-1β)and IL-18 levels.The necrosis of HepG2 cells was analyzed by flow cytometry.RESULTS:The SQLE gene was screened through bioinformatics analysis,and its mRNA expression was significantly increased in tumor tissues from HCC patients(P＜0.01).In cell experiments,treatment with 800 mg/L pachymaran for 48 h had a significant inhibitory effect on HepG2 cell viability,and the expres-sion of SQLE mRNA was reduced(P＜0.01).After overexpression of SQLE,the mRNA and protein levels of pyroptosis-re-lated factors,necrotic rate,and LDH,IL-1β and IL-18 levels were significantly decreased(P＜0.05).After treatment with pachymaran,the above indicators were significantly increased(P＜0.05).CONCLUSION:The SQLE is abnormal-ly highly expressed in HCC,and pachymaran can affect the growth of HCC cells by activating the NLRP3/GSDMD pyropto-sis pathway through SQLE.

【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.