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ObjectiveTo establish a modified BISAP scoring system， and to investigate the value of the BISAP scoring system versus the modified BISAP scoring system in assessing the severity and condition of acute pancreatitis （AP）. MethodsFor the establishment of the new scoring system， a retrospective analysis was performed for the clinical data of 1 033 patients with AP who were admitted to Third Xiangya hospital of central South University from January 2019 to December 2021， and according to the revised Atlanta classification， they were divided into mild acute pancreatitis （MAP） group with 827 patients and severe acute pancreatitis （SAP） group with 206 patients. The two groups were compared in terms of clinical features， laboratory markers， and imaging data. A binary logistic regression analysis was performed for the statistically significant indicators to screen for the independent risk factors for SAP. The receiver operating characteristic （ROC） curve was used to obtain the optimal cut－off value corresponding to the maximum Youden index for each independent risk factor， and a score of 0 or 1 was assigned depending on different situations， which was integrated into the BISAP scoring system to establish a modified BISAP scoring system. For the validation of the new scoring system， a retrospective analysis was performed for the clinical data of 473 patients with AP who were admitted to Third Xiangya hospital of central South University from January 2017 to December 2018. BISAP score and modified BISAP score were determined for each patient， and the area under the ROC curve （AUC） was used to compare the value of the two scoring systems in predicting the severity and prognosis of AP. The chi－square test or the Fisher’s exact test was used for comparison of categorical data between two groups， and the independent－samples t test and the Mann－Whitney U test were used for comparison of continuous data between two groups. ResultsFor the establishment of the new scoring system， there were significant differences between the MAP group and the SAP group in mode of admission， length of hospital stay， ICU admission rate， number of deaths， underlying diseases， and incidence rate of complications （all P<0.05）. The binary logistic regression analysis showed that body temperature， neutrophil－to－lymphocyte ratio （NLR）， C－reactive protein （CRP）， albumin， triglycerides， D－dimer， fibrinogen， and MCTSI score were independent risk factors for SAP （all P<0.05）. The ROC curve analysis showed that CRP （AUC=0.921）， NLR （AUC=0.798）， D－dimer （AUC=0.768）， and MCTSI score （AUC=0.931） had a good predictive value for SAP， and the combination of these four indicators had an AUC of 0.976 and showed a significantly higher diagnostic efficiency than each indicator alone or the combination of two or three indicators （all P<0.05）. For the validation of the new scoring system， a total of 473 patients were enrolled， with 408 in the MAP group and 65 in the SAP group， and there were significant differences between the two groups in mode of admission， length of hospital stay， ICU admission rate， number of deaths， and incidence rate of complications （all P<0.05）. The modified BISAP score was better than the BISAP score in predicting SAP （AUC： 0.972 vs 0.887， P<0.05）， with an optimal cut－off value of >3 points. The modified BISAP score also had a relatively high value in predicting the mortality of AP patients （AUC=0.910）， but there was no significant difference between the modified BISAP score and the BISAP scoring system （AUC： 0.910 vs 0.896， P=0.707）. ConclusionThe modified BISAP score is better than the BISAP score in predicting the severity of AP and has a relatively high value in predicting the mortality of AP patients， giving a more accurate， objective， and early assessment of the condition of AP patients.
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OBJECTIVES@#To study the risk factors for complications after endoscopic therapy for upper gastrointestinal subepithelial lesions (SELs).@*METHODS@#Retrospective analysis was performed on 184 patients in the Department of Gastroenterology in the Third Xiangya Hospital, Central South University after therapeutic endoscopy [endoscopic submucosal dissection (ESD), endoscopic full-thickness resection (EFR), endoscopic submucosal excavation (ESE), and submucosal tunneling endoscopic resection (STER)] for the upper gastrointestinal SELs from 2014-09-01 to 2019-09-30. The clinic data were collected and risk factors for postoperative complications were analyzed.@*RESULTS@#Among the 184 patients, 22 patients were in the complication group (including 3 cases of delayed bleeding, 2 cases of delayed perforation, and 17 cases of electrocoagulation syndrome) and 162 patients were in the non-complication group. There was no significant difference between the complication group and the non-complication group in gender, age over 70 year, basic diseases, lesion location, lesion invasion layers, pathological results, endoscopic therapy, and preventive closure of wounds (all @*CONCLUSIONS@#For the patients with upper gastrointestinal SELs after endoscopic minimally invasive therapy with the lesion diameter over 40 mm and the operative time over 120 minutes, it needs to highly alert to the occurrence of postoperative complications.
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Humans , Endoscopic Mucosal Resection/adverse effects , Endoscopy , Endoscopy, Gastrointestinal , Gastric Mucosa , Retrospective Studies , Risk Factors , Stomach Neoplasms , Treatment OutcomeABSTRACT
Objective:To analyze the differentially expressed genes in esophageal squamous cell carcinoma (ESCC) by bioinformatics method, to screen the key genes related to the carcinogenesis and development of ESCC and to find out biomarkers for early diagnosis and prognosis of ESCC.Methods:The ESCC microarray datasets GSE26886, GSE77861, GSE100942, GSE20347, GSE23400, GSE38129 and GSE17351 from gene expression omnibus datasets were downloaded. The differentially expressed genes in ESCC and normal esophageal mucosa tissues of each dataset were screened out, and then the common differentially expressed key genes of seven dataset were selected out. After that, the key differentially expressed genes were analyzed by gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway. Cytoscape software and molecular complex detection were used for protein-protein interaction network (PPI), and the critical hub genes were screened out. The expression of hub genes was divided into high-expression group and low-expression group. The relationship between hub genes and the prognosis of patients with ESCC was analyzed by Kaplan-Meier database.Results:A total of 626 differentially expressed key genes of ESCC were screened out from the seven datasets, including 302 up-regulated genes and 324 down-regulated genes. The results of GO analysis showed that the key differentially expressed genes were mainly involved in collagen binding, regulation of cell cycle and epithelial cell differentiation.The results of KEGG analysis indicated that the differentially expressed genes were focused on extracellular matrix-receptor interaction, p53 signaling pathway and arachidonic acid metabolism signaling pathway. Five hub genes were screened out from PPI, which were collagen type Ⅲ α1 chain ( COL3 A1), collagen type Ⅹ α1 chain ( COL10 A1), collagen type Ⅵ α3 chain ( COL6 A3), collagen type Ⅴ α2 chain ( COL5 A2) and collagen type Ⅰ α1 chain ( COL1 A1). The expression levels of COL3 A1, COL10 A1, COL6 A3, COL5 A2 and COL1 A1 in ESCC tissues were higher than those of normal esophageal mucosa tissues. The prognosis of high-expression group was worse than that of low-expression group. Conclusions:There are differentially expressed genes profiles between ESCC tissues and normal mucosa tissues. COL3 A1, COL10 A1, COL6 A3, COL5 A2 and COL1 A1 are key genes in the genesis and development of ESCC and also related to the prognosis of the patients, which may be new molecular markers for the diagnosis and treatment of ESCC.
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Objective To improve the efficiency of result reporting and ensure the accuracy of the results by establishing autoverification system in Clinical Chemistry and Immunology Laboratory.Methods The study followed the requirements of the Clinical Laboratory Standards Institute(CLSI)AUTO-10A and ISO 15189:2012.In addition,seven categories of verification rules were encoded using the autoverification function of the CentraLink?Data Management System on the Aptio?Automation platform.These rules included Clinical Diagnostic Standard(CS), Sample Status(SS), Quality Control Severity(QS), Instrument Error Flags Severity(IS), Normal Severity(NS), Delta Check Severity(DS), and Logical Assessment Standard(LS).Various modules of Aptio Automation,laboratory information system(LIS)and hospital information system(HIS)were integrated using the CentraLink system to establish the autoverification system.Results The autoverification system was set up and tested from August 2015 to April 2016.In total, the system ran 4 496 425 tests on 366 180 chemistry specimens.The overall autoverification rate for tests performed increased from 53.4% to 87.0%.Glucose had the highest rate (98.3%)while CKMB had the lowest rate(63.6%).Average TAT for result verification decreased by 97.7%,from 46.3 minutes to 3.7 minutes.The system ran 410,040 tests on 160 119 chemiluminescence specimens.The autoverification rate for tests performed increased from 40.2%to 89%.C-P had the highest rate(98.4%)while A-TPO had the lowest rate(58.7%).Average TAT for result verification decreased by 77.4%,from 14.6 minutes to 3.3 minutes.From May 2016 to January 2017(when autoverification was employed),compared with the same period in 2014(when manual verification was employed),the following changes were observed with no increase in staff capacity:a)Volume of routine chemistry tests increased by 46.4%,and median TAT for tests decreased by 41.9%, from 118 minutes to 83 minutes; b)Volume of chemiluminescence tests increased by 24.5%and median median TAT for tests decreased by 52.4%, from 131 minutes to 86 minutes;c)Median TAT for critical values decreased by 50.5%; d)Rates of tests that did not go through autoverification were 88.2% for NS,6.05% for SS, 2.40% for DS,2.00% for LS, 0.97%for IS,and 0.43% for CS; e)Rates of abnormal specimen status identified by Aptio Automation were 7.13‰for jaundice,5.39‰ for blood lipids,2.20‰ for hemolysis,0.17‰ for barcode error, and 0.15‰ for insufficiency;f)Error rate decreased to 0.00%;and g)staff satisfaction increased from 85%to 100%.Conclusion Autoverification of results by using the CentraLink Data Management System can achieve quality control over the entire process of clinical laboratory testing, ensure accuracy of test results, improve work efficiency, decrease TAT, minimize the error rate, avoid skill variation of staff, reduce the pressure of performing manual verification,and improve medical security.
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Objective To observe the interference of glucose-6-phosphate dehydrogenase (G6PD) deficiency on glycated hemoglobin (HbA1c) detected by three measurement systems.Methods A total of 286 cases of blood and serum samples were collected at Zhongshan Hospital of Sun Yat-Sun University from August 2012 to April 2016.The blood samples were divided into healthy control group (122 cases),diabetes group (82 cases),glucose-6-phosphate dehydrogenase deficiency group (61 cases) and diabetes with G6PD deficiency group (21 cases).The levels of HbA1 c were detected by three measurement systems,including Primus Ultra2,Variant lⅡ Turbo 2.0 and Modular P.The results of HbA1c were converted into the estimated average blood glucose concentration (eAG).The values of A eAG-FPG in different groups were calculated and statistical analysis was performed for evaluation of the differences from the three measurement systems.Results The HbA1c results measured by the three systems and AeAG-FPG values in G6PD deficiency group were all lower than healthy control group(all P ＜0.05).The measured results were similar in both diabetes group and diabetes with G6PD deficiency group.Conclusion G6PD deficiency may cause false H-bA1c results detected by three measurement systems.In the case of HbA1c for evaluating blood glucose control,the interference of G6PD deficiency should be noticed.
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Objectives@#To investigate the effect of β-catenin interacting protein 1 (ICAT) silence in Wnt signaling pathway and sterol drug NSC67657 induced cell differentiation of HL60 cell.@*Methods@#HL-60 cells were treated with NSC67657, the cell surface antigen CD14 expression was detected by flow cytometry. Lentivirus LV-ICAT-RNAi vector was constructed and infected HL-60 cells. Then the ICAT gene and protein expression were analyzed using real-time qPCR and Western blot technique. Furthermore, Co-immunoprecipitation assay was used to confirm the interaction of β-catenin/ICAT proteins, and Western blot was employed to compare the expressions of Wnt signaling pathway downstream targets Cyclin D1, TCF-1 and c-Jun between Lentivirus LV-ICAT-RNAi vector infected HL-60 (HL-60i) cells and un-infected HL-60 (HL-60v) cells. The cellular differentiation of HL-60i and HL-60v cells treated with NSC67657 for 24 h was evaluated by Wright’s staining, transmission electron microscopy and flow cytometry analysis.@*Results@#HL-60 cells could be induced to differentiate into monocytes by 10 μmol/L NSC67657. The CD14 positive cells could reach to (92.30±5.14) % after NSC67657 treatment for 5d. The co- immunoprecipitation assay demonstrated that ICAT protein did interact with β-catenin protein, and the absorbance of protein electrophoresis bands increased in differentiated cells. The expressions of Wnt signaling pathway downstream target proteins in HL-60i cells were higher than that in HL-60v cells when they were treated by 10 μmol/L NSC67657, but lower than NSC67657 untreated cells. CD14 positive HL-60i cells were significantly lower than that of HL-60v cells[ (8.33±3.14) % vs (19.08±4.73) %]when treated with NSC67657, but still higher than that of uninfected and untreated HL60 cells[ (0.60±0.03) %] (F=119.24, P=0.010) . The results of cellular morphology and ultrastructure observation were also in accord with that of cell surface antigen analysis.@*Conclusions@#ICAT does participate in HL-60 cells monocytic differentiation induced by NSC67657, and Wnt/β-catenin signaling pathway might play a bridge role.
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BACKGROUND:Genetic modification by Shootin1 aims to effectively improve neural differentiation of bone marrow mesechymal stem cel s (BMSCs) in the injured spinal cord, thereby promoting functional recovery from spinal cord injury after cel transplantation. OBJECTIVE:To explore the nerve regeneration ability of transplanted BMSCs overexpressing Shootin1 in rats with spinal cord injury. METHODS:BMSCs were transfected using adenovirus-Shootin1 for 48 hours. Then, immunofluorescence staining was used to detect Nestin and NeuN expression levels in the transfected cel s under in vitro neuronal induction and differentiation. Animal models of spinal cord injury were made in rats using modified Al en’s method. Thirty minutes later, Shootin1-transfected BMSCs and non-transfected BMSCs were respectively injected into the subarachnoid space of the rats in the transfection and non-transfection groups, respectively. Rats in the model group were given no treatment. Five weeks after modeling, spinal cord samples were taken from each rat to make frozen sections for detection of nerve related markers RESULTS AND CONCLUSION:After 48-hour adenoviral transfection, Shootin1 expression was successful y detected in BMSCs. After 7-day in vitro induction, the cel morphology in the three groups varied, and there was no significant difference in the expression of Nestin and NeuN between the transfection and non-transfection groups. Basso, Beattie and Bresnahan scores were higher in the two cel transplantation groups than the model group. Increased expression levels of Nestin, NeuN, GFAP, MAP-2, ChAT and SYN were observed in both two cel transplantation groups, indicating a strengthened ability of nerve regeneration. Our experimental findings further confirm that BMSCs transplantation for spinal cord injury has achieved good outcomes, and Shootin1 protein plays a certain role in nerve regeneration and functional recovery after spinal cord injury. However, Shootin1 overexpression shows no obvious additional effects in combination with BMSCs transplantation, and further studies on the optimization of BMSCs transplantation for spinal cord injury are necessary.
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Objective To investigate the Influence of beta-thalassemia minor on four different HbA1c detection systems.Methods All 65 blood samples from March 2014 to August 2014 were collected from Zhongshan Hospital of Sun Yat-sen University , and divided to normal control group ( 40 cases ) , no diabetic group(20 cases) and diabetic group (5 cases) combining with beta-thalassemia minor.The fresh mixed whole-blood samples were used for transferring value-assignment in order to improve the comparability of Bio-Rad variant ⅡTurbo, Primus Ultra2 ,Roche Modular PPI to Bio-Rad Variant Ⅱwhich was NGSP Ⅰlaboratory certificated.The whole-blood concentration of HbA 1c were measured by four detection systems . Differences between normal control group and no diabetic group were compared using the Independent Samples T Test.Then Taking the Primus Ultra 2 as comparable system and others as experimental system ,the HbA1c results from no diabetic group and diabetic group were compared by the standardization NGSP Ⅰlaboratory and statistical techniques of consistency test .Results Compared with Variant Ⅱ detection system, after transferring value-assignment, deviations of Variant Ⅱ, Modular PPI and Variant Ⅱ Turbo were -6%to +6%.The HbA1c testing results from normal control group and no diabetic group had no statistical significance (P>0.05).Linear regression analysis demonstrated that the correlation coefficient of Primus Ultra2 with Variant Ⅱ, Modular PPI, VariantⅡTurbo were 0.995, 0.999 and 0.995, respectively (P<0.01).The percentage deviation of the reference system and experimental system was -6.0% to+6.0%.Conclusion There was no obviously significant influence of beta-thalassemia minor on Bio-Rad Variant Ⅱ,Bio-Rad variant ⅡTurbo,Primus Ultra2,Roche Modular PPI detection systems.
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Objective To study the time distribution of recurrence for postoperative breast cancer patients by hormone receptor status.Methods The characteristics of recurrence in 1099 breast cancer patients with different hormone receptor status undergoing surgery between December 1999 and April 2006 were analyzed retrospectively.Results For those 1099 patients the median follow-up time was 60.6 months.Recurrence was found in 171 patients.For hormone receptor-negative (HRN) patients the first peak of recurrence appeared at the 12th month and the second at about the 54th month.For hormone receptor-positive (HRP) patients the peak of recurrence appeared at the 36th month and a second peak at about the 54th month,and beyond 54 months the hazard was higher for hormone receptor-positive patients.The risk of recurrence was higher with more nodes involved.Node-positive HRP patients suffered two to three times higher risk of recurrence than node-negative HRP patients.Node-positive HRN patients had three to four times higher risk of recurrence than node-negative HRN patients.The recurrence-free survival in HRP patients was higher than that in HRN patients,also the recurrence-free survival in node-negative HRP patients was higher than that in node-positive patients (all P ＜ 0.01).Conclusions The recurrence risk for HRP breast cancer patients was higher than that in HRN patients after 54 months postoperatively.The risk of recurrence for node-positive breast cancer patients was higher than that for HRP node-negatives.
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Objective To investigate the correlation between clinicopathological parameters and the expressions of inhibitor of differentiation/DNA binding 3 (Id3), vascular endothelial growth factor (VEGF) and human epidermal growth factor receptor-2 (HER-2/C-erbB-2) in patients with breast cancer. Methods The protein expressions of Id3, VEGF and C-erbB-2 were detected by SABC immunohistochemistry in 70 spceimens of breast cancer, 40 specimens of tissue adjacent to breast cancer, 20 specimens of fibroadenoma and 20 specimens of normal breast tissue. Results The expressions of Id3, VEGF and C-erbB-2 in breast cancer tissue (88.6%, 95.7% and 20.0%, respectively) were significantly higher than that in the other tissues (P0.05), while the expression of C-erbB-2 protein substantially varied among the patients of breast cancer in different pTNM stages (P