[Objective] To explore the clinical significance and application value of establishing a database for red blood cell alloantibody detection. [Methods] Patients who were scheduled for blood transfusion in our hospital from January 1, 2020 to May 1, 2024 were selected as the research subjects. A red blood cell alloantibody detection database was established using Microsoft Office Excel software to register the detection data of patients' alloantibodies and antibodies of undetermined specificity (AUS). A retrospective analysis was conducted on the clinical characteristics, antibody distribution, antibody decay and repeat positivity of the patients in the database. The LISS-IAT method was routinely used for antibody screening and identification. [Results] Among the alloantibodies, the Rh blood group system had the highest detection rate, followed by antibodies of the MNS blood group system and the Lewis blood group system. The predominant antibody in the Rh blood group system was anti-E. In the univariate analysis, the positivity of antibody was significantly associated with the patient's gender, age, blood transfusion history, pregnancy history and type of disease (all P<0.001). In the database, 48 patients experienced antibody decay, accounting for 15.24%(48/315), with an average time span of antibody decay ranging from 22 to 1 324 days. Six cases showed repeat positivity after decay, which were related to blood transfusions. The shortest interval between blood transfusions that led to antibody repeat positivity was 3 days, and the longest interval was 427 days. Among 58 cases with AUS, 3 converted into alloantibodies, among which 2 were anti-E and 1 was anti-Lea. [Conclusion] Establishing a red blood cell alloantibody detection database is an effective way to guide ambiguous cross-matching in clinical practice and is also an effective measure for the management of transfusion risks.

Objective:To explore the value of magnetic resonance diffusion tensor imaging (DTI) in evaluating cerebrovascular small vessel disease (CSVD) in patients with systemic lupus erythematosus (SLE).Methods:Eighty-two patients with SLE combined with CSVD treated at Yixing People's Hospital from January to December 2022 were selected. They were divided into acute phase infarction group (16 cases), chronic phase infarction group (26 cases), and chronic ischemic lesion group (40 cases) based on routine MRI examination results. All patients underwent DTI examination to obtain the average diffusion coefficient (DCavg) and anisotropy score (FA) of the affected and contralateral normal white matter areas, and the evaluation value of DTI for CSVD in SLE patients was analyzed.Results:The DCavg value on the affected side of 82 patients was significantly higher than that on the healthy side: (11.10 ± 3.48) 10 -3 mm 2/s vs. (8.18 ± 2.42) 10 -3 mm 2/s, and the FA value on the affected side was significantly lower than that on the healthy side: 0.28 ± 0.05 vs. 0.45 ± 0.08, with a statistical significant differences ( P<0.05). The DCavg values of the acute infarction group, chronic infarction group, and chronic ischemic focus group were (11.88 ± 3.50), (9.69 ± 3.24) and (8.52 ± 2.34) 10 -3 mm 2/s, respectively, with statistical significant differences ( P<0.05). The FA values of the acute infarction group, chronic infarction group, and chronic ischemic focus group were 0.28 ± 0.04, 0.33 ± 0.06 and 0.40 ± 0.07, respectively, with statistical significant differences ( P<0.05). The receiver operating characteristic curve was drawn, and the results showed that the area under the curve (AUC) of the acute phase infarction group and the chronic phase infarction group evaluated by DCavg and FA alone and in combination were 0.757, 0.756, and 0.820, respectively. The AUC of the chronic phase infarction group and the chronic ischemic focus group evaluated by DCavg and FA were 0.772, 0.776, and 0.813, respectively. The AUC value of the combined evaluation was relatively large. Conclusions:DTI has good evaluation value for CSVD in SLE patients and can accurately determine the type of CSVD.

ObjectiveTo investigate the trends in diabetes mortality rate and the characteristics of decreased population in Fengxian District, Shanghai from 2012 to 2021. MethodsData from the death registration records of the residents in Fengxian District between 2012 and 2021, sourced from the Shanghai Death Surveillance System, were analyzed. Indicators such as the crude mortality rate due to diabetes, the standardized mortality rate, years of life lost (YLL), and the probability of premature death were estimated. Annual percentage change (APC) was used to analyze the temporal trends of mortality and the probability of premature death due to diabetes. Rate decomposition analysis was used to assess the contributions of demographic and non-demographic factors to diabetes mortality. ResultsFrom 2012 to 2021, there were 1 471 deaths due to diabetes in Fengxian District, with a crude mortality rate of 27.51/100 000 and a standardized mortality rate of 17.58/100 000. The crude mortality rate showed an overall increasing trend (APC=4.58%, Z=3.49, P<0.05). The potential years of life lost (PYLL) due to diabetes over this period amounted to 9 715 person-years, with a PYLL rate of 1.82 ‰, and the average years of life lost (AYLL) was 11.94 years. The probability of premature death was 0.41% (APC=3.36%, t=2.33, P<0.05). Both population aging and non-aging factors contributed to the increase in diabetes mortality, with overall contribution rates of 67.99% and 32.01%, respectively. Among men, the contribution rates were 60.57% and 39.43%, while among women, they were 79.43% and 20.57%, respectively. ConclusionFrom 2012 to 2021, both the crude mortality rate and the probability of premature death due to diabetes showed an upward trend among the residents in Fengxian District, with a higher YLL. Population aging was the main factor causing the increase in mortality rate, while non-demographic factors had a greater impact on the rise in diabetes mortality among men than that in women. Therefore, the management on male diabetes patients should be strengthened.

To improve the evaluation indicators of medical quality in TCM hospitals; To realize objective, fair, and accurate evaluation of the quality of TCM. Based on relevant literature on medical quality in traditional Chinese medicine hospitals research and thematic group discussions, 21 evaluation indicators for TCM characteristics were formed. A questionnaire survey was conducted among 40 experts, and 37 were effectively collected, with a positive coefficient of 92.50%. After two rounds of expert consultation, the evaluation indicators were determined to be: the intensity of outpatient use of TCM decoction pieces (utilization rate of TCM decoction pieces, prescription number of TCM decoction pieces, dosage of TCM decoction pieces, and service price of TCM decoction pieces), the intensity of the use of TCM technology (proportion of TCM technology, number of TCM projects, cost of TCM technology, and course of treatment). Case studies were conducted on relevant data from 10 departments using the operational decision support system (BI) platform of Yueyang Integrated Traditional Chinese and Western Medicine Hospital affiliated with Shanghai University of Traditional Chinese Medicine to verify the rationality of indicators. The 10 departments were analyzed and evaluated, and the results obtained were basically consistent with the actual medical quality situation of the hospital. The indicators used in this study can reflect the actual medical quality situation, and have a certain degree of scientificity, feasibility, and applicability, providing reference for improving the medical quality evaluation indicators of TCM hospitals.

Objective To evaluate both the causal relationship between plasma metabolites and the risk of knee osteoarthritis(KOA)and the potential mediating or masking effect of immune cells using Mendelian randomization(MR)systems.Methods The GWAS data on 1400 plasma metabolites,731 immune cell traits and KOA was retrieved from the genome-wide association study(GWAS)database.Two-way MR analysis was used to evaluate the causal relationship between plasma metabolism and KOA.Two-step mediation MR analysis was conducted to evaluate immune cell traits that might have mediating or masking effects.Results After sensitivity analysis and screening,65 plasma metabolites and 35 immune cell traits were found to have causal relationships with KOA(P＜0.05).Mediation analysis found that CD45RA+CD28-CD8br％CD8br had a mediating effect in the causal relationship between three metabolites(2-hydroxyhi-ppurate,X-07765,X-23739)and the risk of KOA.2-hydroxyhippurate(salicylic acid)exerted a masking effect,and the effect ratio was 0.0412.Conclusion A variety of plasma metabolites and immune cell traits are causally related to KOA,which should not be regarded as a simple degenerative joint disease.The protective effect of salicylic acid against KOA may be weakened by its role in inducing the differentiation of Treg cells,which is worthy of more studies.

Colorectal cancer is one of the most common malignant tumors worldwide. Due to the heterogeneity in patient outcomes and treatment responses to standard therapy regimens, personalized diagnostic and therapeutic strategies have remained a focus of sustained interest in research. In recent years, with the rapid progression of artificial intelligence (AI) technology in the medical field, an abundance of phased research results has emerged in the decision-making for preoperative, intraoperative, and postoperative diagnostic and therapeutic plans for colorectal cancer, demonstrating great potential for application. This new and efficient solution provides for the personalized evaluations and auxiliary diagnoses and treatments of patients with colorectal cancer. In the future, AI systems may continue to advance towards multimodal, multi-omics, and real-time directions. This paper aims to explore the current state of research on the multi-faceted auxiliary applications of AI in the diagnosis and treatment of colorectal cancer, as well as to present a prospective view of the innovations that AI technology could bring to personalized colorectal cancer treatment in the future and the challenges it may face.

Objective To analyze the correlation between cumulative fluid balance volume and increasing plasma volume and aggravated clinical congestion symptoms in patients with heart failure on admission for 1～7 d,and to explore the application value of cumulative fluid balance volume in predicting volume overload.Methods Using the convenience sampling method,235 heart failure patients hospitalized from October 2022 to February 2023 in a total of 3 tertiary hospitals in Nanjing,Lianyungang,Jiangsu Province,and Zhumadian,Henan Province,were selected and classified into an increasing/decreasing plasma volume group and an aggravated/alleviated clinical congestion symptoms group.General information,clinical characteristics,and 1～7 d cumulative fluid balance volume of the study subjects were collected to compare the differences in cumulative fluid balance volume between the 2 groups.Logistic regression was used to analyze the effect of cumulative fluid balance volume on plasma volume and clinical congestion symptoms.Receiver operating characteristic curves were used to analyze the optimal cutoff value of cumulative fluid balance volume for predicting increasing plasma volume and aggravated clinical congestion symptoms.Results Excluding 15 pat ients who were discharged early and 3 patients with inaccurate records of fluid intake and excretion,a total of 217 patients were included.The incidence of positive fluid balance was lowest on day 1,at 65.90%,with the smallest cumulative volume of(0.235±0.983)L;the highest incidence of positive balance occurred on day 6,at 75.58%,with the largest cumulative volume of(2.444±5.445)L.The cumulative fluid balance at 4～7 d in the increasing plasma volume group was higher than that in the decreasing plasma volume group,and the difference was statistically significant(P<0.05);the cumulative fluid balance at 4～7 d was an independent risk factor for plasma volume elevation,and a cumulative fluid balance of 2.308,3.361,3.518,and 3.702 L at 4～7 d was predictive of a plasma volume elevation,and areas under receiver operating characteristic curve were 0.686,0.721,0.647,and 0.766,respectively.The cumulative fluid balance for 4～7 d in the aggravated clinical congestion symptoms group was higher than that in the alleviated clinical congestion symptoms group,and the difference was statistically significant(P<0.05);the cumulative fluid balance for 4～7 d was an independent risk factor for the aggravated clinical congestion symptoms,and a cumulative fluid balance for 4～7 d of 2.574,3.383,4.995,and 4.235 L predicted aggravated clinical congestion symptoms,and area under receiver operating characteristic curve was 0.640,0.693,0.654,and 0.720,respectively.Conclusion The incidence of cumulative positive fluid balance in heart failure patients is high,and the amount of cumulative fluid balance can better predict the occurrence of volume overload,and the increase of plasma volume precedes the appearance of clinical congestion symptoms.It is suggested that heart failure patients with more than 3 d of cumulative positive balance should be closely monitored,and when the cumulative positive balance exceeds 2.308 L,measures should be taken in time to drain excessive fluid,so as to avoid the incidence of volume overload.

Objective To analyze thoracolumbar vertebral fractures(A3)treated by multiple manipulations using the finite element method and to explore the feasibility and advantages of the composite surgical method for treating thoracolumbar vertebral fractures(A3).Methods For three-dimensional reconstruction of thoracolumbar vertebral fractures(A3),the model was loaded with simulated hyperextension posture restoration,simple press restoration,press restoration under hyperextension posture,and composite manipulation.Subsequentially,the stress distribution of the model and displacement of the fractured vertebral body were observed.Results The equivalent stress under composite manipulation was 111.88 MPa,which was greater than that under other manipulations,and the stress under composite manipulation was more concentrated in the anterior and middle columns of the vertebral body.The peak stress under composite manipulation was 122.53 MPa,which was greater than that under other manipulations,and the stress was centrally distributed in fracture region of the fractured vertebral body.The fracture displacement under composite manipulation was 3.94 mm,which was greater than that under other manipulations,and the displacement distribution decreased from the posterior column to the anterior mid-column.The anterior longitudinal and intertransverse interligamentous ligaments of the fractured vertebral body experienced the greatest stress under composite manipulation,and the joint capsule ligaments experienced the greatest stress under hyperextension postural restoration,simple press restoration,and press restoration under the hyperextension posture.Conclusions Compound manipulation for treating thoracolumbar vertebral fractures(A3)has obvious advantages over other manipulative restorations and is a reasonable program for the current treatment of thoracolumbar vertebral fractures(A3).

Objective To investigate the anticancer effect of tanshinone Ⅱ A(TⅡ A)on gastric cancer cells and its mechanism.Methods Gastric cancer cells AGS and BGC-823 were used in this study,the semi inhibi-tory concentration(IC50)of T Ⅱ A in gastric cancer cells AGS and BGC-823 were calculated based on MTT colorimetric assay.The appropriate concentration of T Ⅱ A was selected.The effects of T Ⅱ A on cell apoptosis and death were analyzed by flow cytometry.Gastric cancer cells AGS and BGC-823 were divided into control group,T Ⅱ A group and T Ⅱ A+ferroptosis inhibitor Fer-1 group(TⅡ A+Fer-1 group).The levels of gluta-thione(GSH),cysteine(Cys),reactive oxygen species(ROS)and lipid peroxidation in each group were detec-ted and compared.The potential targets of T Ⅱ A were screened and verified by traditional Chinese medicine system pharmacology and String database.The levels of glutamate/cystine transporter(xCT)in each group were detected by Western blot,and the mRNA levels of TP53,solute carrier 7 family 11 members(SLC7A11),and prostaglandin peroxide endosynthase 2(PTGS2)were detected by real-time fluorescence quantitative PCR.Results TⅡA had a good anticancer effect on gastric cancer cells AGS and BGC-823 with IC50 of 2.880 μg/mL and 2.350 μg/mL,respectively.TⅡA could inhibit the growth and promote apoptosis and death of gastric cancer cells AGS and BGC-823.TⅡA treatment reduced GSH and Cys levels(P＜0.05),increased ROS and lipid peroxidation levels(P＜0.05),and finally induced ferroptosis in AGS and BGC-823 cells.Database analysis showed that TP53 was an important target of T Ⅱ A.T Ⅱ A promoted the expression of TP53 and inhibited the expression of xCT.Fer-1 attenuated the effects of T Ⅱ A on the expression of TP53 and xCT.After adding TP53 inhibitor,the effects of T Ⅱ A on SLC7A11,PTGS2,and TP53 were weakened(P＜0.05).Conclusion TⅡA has a good anticancer effect on gastric cancer cells AGS and BGC-823,and it could promote ferroptosis of gastric cancer cells through TP53/xCT pathway.

Colorectal cancer is one of the most common malignant tumors worldwide. Due to the heterogeneity in patient outcomes and treatment responses to standard therapy regimens, personalized diagnostic and therapeutic strategies have remained a focus of sustained interest in research. In recent years, with the rapid progression of artificial intelligence (AI) technology in the medical field, an abundance of phased research results has emerged in the decision-making for preoperative, intraoperative, and postoperative diagnostic and therapeutic plans for colorectal cancer, demonstrating great potential for application. This new and efficient solution provides for the personalized evaluations and auxiliary diagnoses and treatments of patients with colorectal cancer. In the future, AI systems may continue to advance towards multimodal, multi-omics, and real-time directions. This paper aims to explore the current state of research on the multi-faceted auxiliary applications of AI in the diagnosis and treatment of colorectal cancer, as well as to present a prospective view of the innovations that AI technology could bring to personalized colorectal cancer treatment in the future and the challenges it may face.