Objective: To investigate the clinical characteristics, the types of unexpected antibodies, and their impacts on immunological risks among patients with different frequencies of cross-matching incompatibility, so as to propose corresponding solutions. Methods: Data of cross-matching incompatibility samples from 92 medical institutions during 2022 to 2024 were collected and divided into three groups based on the frequency of cross-matching. Statistical analysis was performed on disease types, distribution of hematologic diseases, alloantibody detection rates, and proportions of alloantibody types. Results: The 858 patients were divided into three groups based on the frequency of blood cross-matching incompatibility: ≥5 times (8.28%, 71/858), 2 to 4 times (28.21%, 242/858); 1 time (63.52%, 545/858). There was a clustered distribution of disease types in the ≥5 cross-matchings group, with 71.83% (51/71) of patients having tumors or hematologic and hematopoietic diseases. In contrast, the disease types in the 2 to 4 cross-matchings and 1 cross-matching groups were more diverse. An analysis of 249 patients with hematologic diseases found that multiple myeloma was the most common disease in all three groups, accounting for 31.43% (11/35), 35.37% (29/82), and 37.88% (50/132) respectively. In the ≥5 cross-matchings group, myelodysplastic syndrome (14.29%, 5/35) and thalassemia (14.29%, 5/35) were the second most common diseases. In contrast, in the 2 to 4 cross-matchings group and 1 cross-matching group, autoimmune hemolytic anemia was the second most common disease, with prevalence rates of 20.73% (17/82) and 24.24% (32/132), respectively. Alloantibodies were detected in 54.66% of the patients, with antibodies against Rh blood group being most frequent (>50%) in all three groups. The detection rates of alloantibodies/alloantibodies with coexisting autoantibodies decreased across groups: the ≥5 cross-matchings group (70.42%, 50/71) > the 2 to 4 cross-matchings group (54.96%, 133/242) > the 1 cross-matching group (52.48%, 286/545). Conclusion: The risk of alloantibody production increases in patients with multiple cross-matching incompatibilities, especially in those with tumors or hematologic diseases. For handling of cross-matching incompatibility cases, it is recommended to optimize the cross-matching process, implement individualized transfusion plans, and enhance the technical capabilities of clinical transfusion departments and blood group reference laboratories to ensure the safety and effectiveness of transfusions.

As an important part of Chinese traditional culture， the processing technology of traditional Chinese medicine（TCM） carries the wisdom of TCM for thousands of years， and its process is complex and rigorous. With the popularization of modern production technology， traditional processing techiques are facing the dual pressures from technological innovation and production standardization under the perspective of intangible cultural heritage. The modernization of TCM processing technology is an inevitable trend for industrial upgrading， but it cannot be separated from the foundation of traditional skills and ignore the core concepts and cultural values it embodies. Therefore， by analyzing the core characteristics of TCM processing technology and its differences with modern production， this paper discusses the establishment of a synergistic innovation mechanism between traditional techniques and modern technologies， the promotion of joint research and development between scientific research institutes and the industry， the strengthening of standardization of processing techniques， and the enhancement of social education and industry training to improve the recognition and inheritance of processing techniques in order to achieve the goal of innovation and protection of TCM processing technologies in the context of modernization， and to promote the high-quality development of the TCM processing industry.

The bone morphogenetic protein (BMP) family has numerous members that play various regulatory roles in cell differentiation and tissue morphogenesis. They can precisely regulate cell proliferation, differentiation, apoptosis, and other processes. Notably, the members of the BMP family, such as BMP1, BMP2, BMP4, and BMP7, etc., play significant roles in the odontoblast differentiation. By delving into the expression and regulatory mechanisms of BMP during tooth development and reparative regeneration, a deeper understanding of the biological processes involved in tooth formation can be gained, providing theoretical support for the repair and regeneration of dental defects. However, the clinical application of BMP still faces numerous challenges, and how to precisely regulate the expression and activity of BMP during odontogenic differentiation remains to be further studied. In this review, the research progress in the role of the BMP family members for odontogenic differentiation was summarized, with a view to providing some reference for exploring new therapeutic strategies of BMP application in the repair and regeneration of dental defect.

Objective:To conduct the visual analysis of emergency palliative care based on the Web of Science database.Methods:The literature on emergency palliative care collected from 2012 to 2022 was systematically searched in the Web of Science core collection. CiteSpace software was used for visual analysis.Results:A total of 630 articles were included, and the number of publications was on the rise. The country with the highest number of publications was the United States, with 8 out of the top 10 institutions in terms of publication volume coming from the United States. The author with the highest number of publications was Grudzen. The top 10 journals in terms of citation frequency were mostly specialized journals on palliative care and first aid. The results of keyword analysis showed that a total of 15 clustering labels and 20 emergent words were output, reflecting the changes of key research objects, main research types and areas of concern.Conclusions:At present, nursing research in this field is in the development stage in China. We can draw on the practical experience of foreign countries to further explore the emergency palliative care model and service system based on China's national conditions.

Objective:To establish a graded method to avoid mean fluorescence intensity(MFI)threshold of HLA Class I antibodies corresponding antigen,and the HLAMatchmaker program has been used to select the minimum mismatch value of donor-patient epitopes.Evaluate the application value of combining both methods in selecting HLA compatible platelets(PTL)for patients with immune platelet transfusion failure(IPTR)in improving platelet the corrected count increment(CCI).Methods:A total 7 807 PLT cross-matching compatible were performed by the solid-phase red cell adherence(SPRCA)method for 51 IPTR patients.The Luminex single antigen flow cytometry was used to detect HLA Class I antibodies in patients,and detected the MFI value for different specificity antigens of HLA Class I antibodies,was graded into strong positive group(MFI＞4 000,level 1),medium positive group(1 000＜MFI 4 000,2),weak positive group(500＜MFI≤1 000,3),and one negative control group(MFI≤500).The results of 7 807 SPRCA their negative/positive reaction wells were enrolled and statistically analyzed in different grades and the four groups,the statistical differences between the four groups were compared.Multiple applications for the select HLA Class I compatible donor events were made for patients in two cases,and HLAMatchmaker program was used to calculate the number of HLA Class I epitopes mismatches between the donors and patients.The donor with the minimum number of epitopes mismatches was selected,while avoiding the corresponding antigens of HLA Class I antibodies in levels 1 and 2,the provision of HLA compatible platelets for IPTR.After the transfusions,the CCI value of the platelet transfusion efficacy evaluation index was calculated,and the clinical evaluation of the transfusion effect was obtained through statistical analysis.Results:There were statistically significant differences in the positive results of SPRCA immunoassay among the strong positive group,medium positive group,and weak positive group of 51 IPTR patients with different specific of HLA-I class antibodies and corresponding antigens(all P＜0.001).The positive results showed a range from high to low,with strong positive group＞medium positive group＞weak positive group.There were a statistical difference among between the strongly positive or moderately positive groups and the negative control group(P＜0.001).There was no statistical difference between the weakly positive group and the negative control group(P＞0.05).The strong positive group was set as the corresponding specific HLA Class I site corresponding antigen grade 1 avoidance threshold,the medium positive group as the grade 2 avoidance thresholds,and the weak positive group as the grade 3 avoidance threshold.In the case of donor platelet shortage,it is not necessary to avoid the weak positive group.Avoiding the strategy of donor antigens and HLAMatchmaker program scores≤7 corresponding to HLA Class I antibodies of levels 1 and 2,with CCI values＞4.5 × 109/L within 24 hours,can obtain effective clinical platelet transfusion conclusions.Conclusion:When selecting HLA Class I compatible donors for IPTR patients,the grading avoids HLA Class I antibodies corresponding to donor antigens,and the donor selection strategy with the minimum scores of HLAMatchmaker program is comprehensively selected.The negative result confirmed by platelet cross-matching experiments has certain practical application value for improving platelet count in IPTR patients.

The clinical data from 16 patients who underwent surgery for acute type A aortic dissection under ultra-fast-track anesthesia (UFTA) in the Second Affiliated Hospital of Nanjing Medical University from August 2023 to December 2023 were collected, and the experience of anesthesia management was analyzed and summarized. UFTA strategy was to reduce inflammation and perform multi-organ protection in the perioperative period through cardiopulmonary bypass methods, medications, etc. According to the process of operation, the long-term and short-acting anesthetic drugs were accurately used to achieve the patient′s awakening immediately after the operation. Deep anesthesia extubation, remifentanil infusion techniques, and nasal high-flow ventilation were used to enable patients to be removed from the endotracheal tube with low stress under the premise of safety. All the patients successfully completed anesthesia induction and anesthesia maintenance. The average surgery duration was (413±92) min, the average anesthesia duration was (480±100) min, the cardiopulmonary bypass time was (168±42) min, the cardiac arrest time was (119±36) min, and the deep hypothermic circulatory arrest lasted (24±5) min. Of these patients, 14 underwent deep hypothermic circulatory arrest combined with unilateral cerebral perfusion via the right axillary artery, and 2 underwent deep hypothermic circulatory arrest combined with retrograde cerebral perfusion via the superior vena cava. All the patients had their tracheal tubes removed within 30 min postoperatively, with blood gas analysis and hemodynamics being within or close to normal ranges. The average postoperative intensive care unit stay time was 6 (3, 11) days, and the total length of hospital stay was (23±8) days. The total hospitalization time extended 20 days in 7 patients due to postoperative complications. All the patients recovered and were discharged. In conclusion, the application of UFTA strategy is safe and feasible in the patients with acute type A aortic dissection, allowing for immediate extubation in the operating room.

Objective To explore the mechanism of Zhuangxuan Yin in the treatment of children with H1N1 pneumonia through regulating gut microbiota mediated by p38 mitogen-activated protein kinase(p38-MAPK)pathway.Methods A BALB/c mouse model of H1N1 pneumonia was prepared using the H1N1 influenza virus allantoic solution for nasal drop.The model was randomly separated into 5 groups:model group,Zhuangxuan Yin low-,medium-and high-dose groups,and high-dose Zhuangxuan Yin(28.66 g·kg-1)+anisomycin(10 mg·kg-1)group.The control group was infused with sterile physiological saline of equal volume using the same method.After treatment with Zhuangxuan Yin and anisomycin,the lung index of mice in each group was measured,and HE staining was applied to detect the pathological morphology of lung and large intestine tissues.16SrRNA gene sequencing was applied to detect the structural difference of gut microbiota in mice of each group.Enzyme-linked immunosorbent assay(ELASA)was applied to measure the levels of tumor necrosis factor-α(TNF-α),interleukin(IL)-4,IL-6,and IL-1β in bronchoalveolar lavage fluid(BALF)and large intestine tissue of mice in each group.Western Blot was applied to detect the expression of p38-MAPK pathway-related proteins in lung and large intestine tissues of mice in each group.Results Compared with the control group,the lung and large intestine tissues of the model group mice showed obvious pathological damage,the lung index,pathological score of lung and large intestine,ACE index,Shannon index,abundance of class Clostridia,the levels of TNF-α,IL-4,IL-6,and IL-1β in BALF and large intestine tissues,and p-p38-MAPK/p38-MAPK in lung and large intestine tissues increased(P＜0.05).The abundance of class Bacteroidales decreased(P＜0.05).Compared with the model group,the pathological damage in the lung and large intestine tissues of mice in the Zhuangxuan Yin low-,medium-and high-dose groups were reduced.The lung index,pathological score of lung and large intestine,ACE index,Shannon index,abundance of class Clostridia,the levels of TNF-α,IL-4,IL-6,and IL-1β in BALF and large intestine tissues,and p-p38-MAPK/p38-MAPK in lung and large intestine tissues decreased(P＜0.05),the abundance of class Bacteroidales increased(P＜0.05),and in a dose-dependent manner(P＜0.05).Compared with the high-dose Zhuangxuan Yin group,the pathological damage in the lung and large intestine tissues of mice in the high-dose Zhuangxuan Yin+anisomycin group was aggravated,the lung index,pathological score of lung and large intestine,ACE index,Shannon index,abundance of class Clostridia,the levels of TNF-α,IL-4,IL-6,and IL-1β in BALF and large intestine tissues,and p-p38-MAPK/p38-MAPK in lung and large intestine tissues increased(P＜0.05),and the abundance of class Bacteroidales decreased(P＜0.05).Conclusion Zhuangxuan Yin can improve the imbalance of intestinal microbiota in H1N1 pneumonia mice by inhibiting p38-MAPK signal activation,thereby inhibiting inflammation and reducing lung and large intestine tissue damage in mice,which may have a therapeutic effect on children with H1N1 pneumonia.

Objective To explore the prediction of hospital indoor microbial concentration in air based on real-time indoor air environment monitoring data and machine learning algorithms.Methods Four locations in a hospital were selected as monitoring sampling points from May 23 to June 5,2022.The"internet of things"sensor was used to monitor a variety of real-time air environment data.Air microbial concentration data collected at each point were matched,and the gradient boosting decision tree(GBDT)was used to predict real-time indoor microbial concentra-tion in air.Five other common machine learning models were selected for comparison,including random forest(RF),decision tree(DT),k-nearest neighbor(KNN),linear regression(LR)and artificial neural network(ANN).The validity of the model was verified by the mean absolute error(MAE),root mean square error(RMSE)and mean absolute percentage error(MAPE).Results The MAPE value of GBDT model in the outpa-tient elevator room(point A),bronchoscopy room(point B),CT waiting area(point C),and nurses'station in the supply room(point D)were 22.49％,36.28％,29.34％,and 26.43％,respectively.The mean performance of the GBDT model was higher than that of other machine learning models at three sampling points and slightly lower than that of the ANN model at only one sampling point.The mean MAPE value of GBDT model at four sampling points was 28.64％,that is,the predicted value deviated from the actual value by 28.64％,indicating that GBDT model has good prediction results and the predicted value was within the available range.Conclusion The GBDT machine learning model based on real-time indoor air environment monitoring data can improve the prediction accuracy of in-door air microbial concentration in hospitals.

Objective To establish a simultaneous detection approach for 34 emerging contaminants(ECs)in tap water by liquid chromatography-tandem mass spectrometry(HPLC-MS/MS).Human health risk assessment was performed according to the detection results from 43 tap water samples.Methods Tap water samples were concentrated and extracted by solid phase extraction,and then blown to near dry by nitrogen at 40℃.The sample extracts were dissolved in methanol-water solution(95:5,VN)to 0.5 mL for analyzing.Agilent Jet Stream Electrospray Ionization(AJS ESI)and the multiple reaction monitoring(MRM)mode were performed for MS to acquire the data of 34 ECs.A database including precursor ion,product ion and retention times was established accordingly.Results The average linear correlation coefficients(r)of 34 kinds of ECs was 0.995 9.The limits of detection were 0.01～0.60 ng/L and the recoveries were between 60.7％and 119.8％.The intra-group precisions were between 0.05％～9.89％and the intra-day precisions were between 0.20％～14.40％for the spiked samples.The method was applied to analyze 43 tap water samples and a total of 15 ECs were detected.According to the results,the detection rate of caffeine was the highest(84％),and the concentration range was ND～74.42 ng/L.Among all the ECs detected,1,2,3-benzotriazole had the highest concentration(ND～361.15 ng/L),where detection rate was 44％.Humans may be exposed to these ECs by drinking the tap water.The human health risk assessments of 12 kinds of ECs were carried out,however,the estimated risk was negligible(risk quotient＜0.01).Conclusion The method is simple,highly sensitive and selective,and could meet the detection needs of ECs at trace level in tap water.There was no human health risk posed for ECs identified in 43 tap water samples analyzed by this method.

Hemorrhagic shock (HS) is one of the leading causes of death among young adults worldwide. Multiple organ dysfunction in HS is caused by an imbalance between tissue oxygen supply and demand, which is closely related to the poor prognosis of patient. Mitochondrial dysfunction is one of the key mechanisms contributing to multiple organ dysfunction in HS, while mitochondrial quality control regulates mitochondrial function through a series of processes, including mitochondrial biogenesis, mitochondrial dynamics, mitophagy, mitochondrial-derived vesicles, and mitochondrial protein homeostasis. Modulating mitochondrial quality control can improve organ dysfunction. This review aims to summarize the effects of mitochondrial dysfunction on organ function in HS and discuss the potential mechanisms of mitochondrial quality control, providing insights into the injury mechanisms underlying HS and guiding clinical management.