Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

This study investigated the characteristics of gut microbiota imbalance in patients with infectious diarrhea caused by various pathogenic infections,and the role of Bacteroides in maintaining homeostasis in the intestinal environment.The gut microbiota in patients with diarrhea caused by pathogenic infections,such as viral and bacterial infections,was determined through full-length 16S rRNA amplicon sequencing.Patients with diarrhea were grouped and analyzed according to the presence of single bacterial infection,single viral infection,mixed infection,or Clostridioides difficile infection.Bacteroides had the highest absolute number and relative abundance in the gut microbiota in healthy people,whereas patients with infectious diar-rhea showed lower relative abundance of Bacteroides at each phylum/order/family/genus taxonomic level.Alpha diversity anal-ysis indicated no significant differences among groups.NMDS and PCoA indicated formation of distinct clusters in the control group compared with the different infectious diarrhea groups.The diversity of the gut microbiota was higher in the control group than the infectious diarrhea groups.Patients with infec-tious diarrhea caused by different pathogens showed differing predominant gut microbiota.Bifidobacterium predominated in the single viral infection group,Streptococcus predominated in the single bacterial infection group,and Lachnoclostridium predominated in the mixed infection group.Escherichia and Klebsiella were the major gut microbiota in the C.difficile infection group.Meanwhile,the dominant gut microbiota in the healthy population was Bacteroides.COG function prediction revealed that the healthy control group formed a distinct cluster from the different infection groups.The functions of defense mechanisms,cell wall synthesis,protein modification,cellular differentiation,and replication and recombination were signifi-cantly diminished in all infectious diarrhea groups.In general,patients with infectious diarrhea caused by different pathogens showed dysbiosis,with diminished gut microbiota diversity and the emergence of related biomarkers.Our findings indicated that Bacteroides has a key role in maintaining the homeostasis of the human intestinal environment,thus providing new ideas for the subsequent treatment of infectious diarrhea and research in other fields.

Objective:To evaluate the value of preoperative prediction of vessel invasion (VI) of locally advanced gastric cancer by machine learning model based on the venous phase enhanced CT radiomics features.Methods:A retrospective analysis of 296 patients with locally advanced gastric cancer confirmed by pathology in the First Affiliated Hospital of Zhengzhou University from July 2011 to December 2020 was performed. The patients were divided into VI positive group ( n=213) and VI negative group ( n=83) based on pathological results. The data were divided into training set ( n=207) and test set ( n=89) according to the ratio of 7∶3 with stratification sampling. The clinical characteristics of patients were recorded, and the independent risk factors of gastric cancer VI were screened by multivariate logistic regression. Pyradiomics software was used to extract radiomic features from the venous phase enhanced CT images, and the minimum absolute shrinkage and selection algorithm (LASSO) was used to screen the features, obtain the optimal feature subset, and establish the radiomics signature. Four machine learning algorithms, including extreme gradient boosting (XGBoost), logistic, naive Bayes (GNB), and support vector machine (SVM) models, were used to build prediction models for the radiomics signature and the screened clinical independent risk factors. The efficacy of the model in predicting gastric cancer VI was evaluated by the receiver operating characteristic curve. Results:The degree of differentiation (OR=13.651, 95%CI 7.265-25.650, P=0.003), Lauren′s classification (OR=1.349, 95%CI 1.011-1.799, P=0.042) and CA199 (OR=1.796, 95%CI 1.406-2.186, P=0.044) were independent risk factors for predicting the VI of locally advanced gastric cancer. Based on the venous phase enhanced CT images, 864 quantitative features were extracted, and 18 best constructed radiomics signature were selected by LASSO. In the training set, the area under the curve (AUC) of XGBoost, logistic, GNB and SVM models for predicting gastric cancer VI were 0.914 (95%CI 0.875-0.953), 0.897 (95%CI 0.853-0.940), 0.880 (95%CI 0.832-0.928) and 0.814 (95%CI 0.755-0.873), respectively, and in the test set were 0.870 (95%CI 0.769-0.971), 0.877 (95%CI 0.788-0.964), 0.859 (95%CI 0.755-0.961) and 0.773 (95%CI 0.647-0.898). The logistic model had the largest AUC in the test set. Conclusions:The machine learning model based on the venous phase enhanced CT radiomics features has high efficacy in predicting the VI of locally advanced gastric cancer before the operation, and the logistic model demonstrates the best diagnostic efficacy.

Objective:To evaluate the safety and feasibility of applying injectable cross-linked sodium hyaluronate isolation gel in radical hypofractionated radiation therapy for prostate cancer.Methods:In this prospective study, patients at Beijing Hospital who were pathologically diagnosed with clinical stage T 1-2N 0M 0 prostatic acinar adenocarcinoma by puncture and underwent radical radiation therapy were included. All patients received ultrasound-guided cross-linked sodium hyaluronate isolation gel injection and image-guided intensity-modulated radiation therapy (IG-IMRT). The prescription dose was moderately hypofractionated, with a prescription dose of 60 Gy in 20 fractions for 5 times a week, once daily, which was delivered to 95% of the planning target volume (PTV) of prostate and seminal vesicle. Analyze the prostate rectal spacing (PRS) at the baseline, on the day of injection, during the radiotherapy, 1 month and 3 months after radiotherapy, changes in rectal volume before and after injection, and incidence of rectum-related side effects. The changes in all indexes before and after injection were analyzed by using t-test. Results:A total of 13 patients were enrolled from March 2022 to February 2023. The isolation gel maintained morphologic stability without significant spatial changes during radiotherapy, and the mid-prostate had the best effect, with PRS up to 1 cm. At 3 months after radiotherapy, the isolation gel was seen to decreased in volume with a certain absorptive capacity. The irradiated volume of rectum was decreased significantly in all patients after gel injection, and the mean volumes of rectal V 60 Gy , V 50 Gy , V 30 Gy , and V 20 Gy before and after injection were 1.923% vs. 0.280%, 10.255% vs. 3.172%, 29.602% vs. 18.800%, and 49.452% vs. 40.259% (all P<0.005). The average values (range) of rectal V 60 Gy , V 50 Gy , V 30 Gy , V 20 Gy decreases were 84.9%( 29% - 100%), 69.6%(27%-100%), 36.3%(0%-75%), and 17.8%(0%-50%), respectively. No grade 3-4 side effects occurred in all patients, and there were no common grade 1-2 rectal side effects such as diarrhea, rectal bleeding, proctitis and anal pain, etc. Only one patient developed grade 1 constipation during radiotherapy. Conclusion:Injection of Chinese made cross-linked sodium hyaluronate isolation gel can significantly reduce the irradiated volume of rectum and the incidence of rectal toxicities in prostate cancer patients undergoing radical radiotherapy.

Objective: To understand immune escape mutation, drug resistance mutation, and genome evolution information of HBV genome sequence in China. Methods: The whole genome sequence information of HBV in China submitted in GenBank from 1998 to 2021 was selected as the object for analysis. MAFFT method was used for cluster analysis. Analysis of immune escape and drug-resistant mutations was performed using the online tool Gen2pheno. The BEAST 1.10.4 was used for analysis the time evolution of HBV sequences. Results: A total of 5 426 sequences were included in the dataset and distributed in 19 provinces of China. Type C accounted for the highest proportion (59.1%, 3 211/5 426), followed by type B (33.7%, 1 833/5 426). Immune escape mutations were found in 764 sequences (14.1%, 764/5 426). At least one reverse transcriptase region mutation occurred in 98.1% of the sequences. The evolutionary roots of most HBV sequences in China date from around 1801 AD. Conclusion: HBV-resistant mutation rate is high in China. HBV genomes evolve slowly.
China/epidemiology* ; DNA, Viral/genetics* ; Drug Resistance, Viral/genetics* ; Genome, Viral ; Genotype ; Hepatitis B virus/genetics* ; Humans ; Mutation

Child ; Humans ; Circulating Tumor DNA ; Lymphangioma ; Family ; Hemangioendothelioma ; Sarcoma, Kaposi

OBJECTIVE: To detect the ABO / RhD blood type of infants younger than 6 months in different gestational age and month old with automatic microcolumn glass sphere and tube method, and compare the result of the two methods. METHODS: The data of 896 samples of infants younger than 6 months from January 2018 to February 2019 was collected. The two methods were used to detect ABO/RhD blood type in all samples and compare the detection rate of ABO/RhD antigen and ABO reverse typing and agglutination intensity of the two methods. RESULTS: Three hundred and eight cases of type A (34.4%), 281 cases of type B (31.4%), 210 cases of type O (23.4%), 97 cases of type AB (10.8%), and 896 positive cases of RhD blood type were detected out by two methods. There were no significant differences of ABO/RhD antigen agglutination intensity between two methods (P > 0.05). Except for type AB, the detection rate of ABO reverse typing in infants with type B was significantly higher than that with type A and type O (P < 0.05). The agglutination intensity of type A reverse cell was higher than type B reverse cell (P < 0.05). The fully automatic microcolumn glass sphere method exhibited higher detection rate of ABO reverse typing in the samples of type A and type O group and agglutination intensity of ABO reverse typing in all types as compared with the tube method (P < 0.05). The detection rate and agglutination intensity of ABO reverse typing in term group were significantly higher than those in preterm group (P < 0.05). The fully automatic microcolumn glass sphere method exhibited higher detection rate of ABO reverse typing and agglutination intensity compared with the tube method between two groups (P < 0.05). The detection rate and agglutination intensity of ABO reverse typing in group IV (4-6 months old) were significantly higher than those in groups I, II and III (young than 3 months old) (P < 0.05). The fully automatic microcolumn glass sphere method exhibited higher detection rate of ABO reverse typing in I, II, III groups and agglutination intensity of ABO reverse typing in the 4 groups compared with the tube method (P < 0.05). CONCLUSION ABO / RhD blood group antigen can be accurated detected in majority of infants, but the detection rate of ABO antibody is related to gestational age and month age of infants. The detection rate and agglutination intensity of the fully automatic microcolumn glass sphere method in ABO reverse typing are higher than those of the tube method, especially for premature infants and children within 3 months old.
ABO Blood-Group System ; Blood Grouping and Crossmatching ; Humans ; Infant

China/epidemiology* ; Coronary Angiography ; Coronary Artery Disease/diagnosis* ; Humans ; Registries ; Risk Assessment ; Risk Factors

OBJECTIVE: To obtain the subtypes of the clinical hypertension population based on symptoms and to explore the relationship between hypertension and comorbidities. METHODS: The data set was collected from the Chinese medicine (CM) electronic medical records of 33,458 hypertension inpatients in the Affiliated Hospital of Shandong University of Traditional Chinese Medicine between July 2014 and May 2017. Then, a hypertension disease comorbidity network (HDCN) was built to investigate the complicated associations between hypertension and their comorbidities. Moreover, a hypertension patient similarity network (HPSN) was constructed with patients' shared symptoms, and 7 main hypertension patient subgroups were identified from HPSN with a community detection method to exhibit the characteristics of clinical phenotypes and molecular mechanisms. In addition, the significant symptoms, diseases, CM syndromes and pathways of each main patient subgroup were obtained by enrichment analysis. RESULTS: The significant symptoms and diseases of these patient subgroups were associated with different damaged target organs of hypertension. Additionally, the specific phenotypic features (symptoms, diseases, and CM syndromes) were consistent with specific molecular features (pathways) in the same patient subgroup. CONCLUSION The utility and comprehensiveness of disease classification based on community detection of patient networks using shared CM symptom phenotypes showed the importance of hypertension patient subgroups.