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.

Small ubiquitin-related modifier(SUMOylation)is a dynamic post-translational modification that maintains cardiac function and can protect against a hypertrophic response to cardiac pressure overload.However,the function of SUMOylation after myocardial infarction(MI)and the molecular details of heart cell responses to SUMO1 deficiency have not been determined.In this study,we demonstrated that SUMO1 protein was inconsistently abundant in different cell types and heart regions after MI.However,SUMO1 knockout significantly exacerbated systolic dysfunction and infarct size after myocardial injury.Single-nucleus RNA sequencing revealed the differential role of SUMO1 in regulating heart cells.Among cardiomyocytes,SUMO1 deletion increased the Nppa+Nppb+Ankrd1+cardiomyocyte subcluster pro-portion after MI.In addition,the conversion of fibroblasts to myofibroblasts subclusters was inhibited in SUMO1 knockout mice.Importantly,SUMO1 loss promoted proliferation of endothelial cell subsets with the ability to reconstitute neovascularization and expressed angiogenesis-related genes.Computational analysis of ligand/receptor interactions suggested putative pathways that mediate cardiomyocytes to endothelial cell communication in the myocardium.Mice preinjected with cardiomyocyte-specific AAV-SUMO1,but not the endothelial cell-specific form,and exhibited ameliorated cardiac remodeling following MI.Collectively,our results identified the role of SUMO1 in cardiomyocytes,fibroblasts,and endothelial cells after Ml.These findings provide new insights into SUMO1 involvement in the patho-genesis of MI and reveal novel therapeutic targets.

Objective: To explore the clinical effects of three-dimensional printed preformed titanium mesh combined with latissimus dorsi muscle flap free transplantation in the treatment of wounds with skull defect after radical surgery of squamous cell carcinoma in the vertex. Methods: A retrospective observational study was conducted. From January 2010 to December 2019, 5 patients with squamous cell carcinoma in the vertex accompanied with skull invasion who met the inclusion criteria were admitted to the Department of Burns and Plastic Surgery of the Second Affiliated Hospital of Air Force Medical University, including four males and one female, aged 50 to 65 years. The original lesion areas ranged from 5 cm×4 cm to 15 cm×8 cm. The titanium mesh was prefabricated via three-dimensional technic based on the result the scope of skull resection predicted with computerized tomography three-dimensional reconstruction before surgery. During the first stage, the soft tissue defect area of scalp (8 cm×7 cm to 18 cm×11 cm) after tumor enlargement resection was repaired with the preformed titanium mesh, and the titanium mesh was covered with latissimus dorsi muscle flap, with area of 10 cm×9 cm to 20 cm×13 cm. The thoracodorsal artery/vein was anastomosed with the superficial temporal artery/vein on one side. The muscle ends in the donor site were sutured together or performed with transfixion, and then the skin on the back were covered back to the donor site. On the 10th day after the first-stage surgery, the second-stage surgery was performed. The thin intermediate thickness skin graft was taken from the anterolateral thigh to cover the latissimus dorsi muscle flap. The duration and intraoperative blood loss of first-stage surgery were recorded. The postoperative muscle flap survival after the first-stage surgery and skin graft survival after the second-stage surgery was observed. The occurrence of complications, head appearance, and recurrence of tumor were followed up. Results: The average first-stage surgery duration of patients was 12.1 h, and the intraoperative blood loss was not more than 1 200 mL. The muscle flaps in the first-stage surgery and the skin grafts in the second-stage surgery all survived well. During the follow-up of 6-18 months, no complications such as exposure of titanium mesh or infection occurred, with good shape in the recipient sites in the vertex, and no recurrence of tumor. Conclusions: Three-dimensional printed preformed titanium mesh combined with latissimus dorsi muscle flap free transplantation and intermediate thickness skin graft cover is an effective and reliable method for repairing the wound with skull defect after extended resection of squamous cell carcinoma in the vertex. This method can cover the wound effectively as well as promote both recipient and donor sites to obtain good function and appearance.
Carcinoma, Squamous Cell/surgery* ; Female ; Humans ; Male ; Perforator Flap ; Reconstructive Surgical Procedures/methods* ; Scalp/surgery* ; Skin Transplantation ; Skull/surgery* ; Soft Tissue Injuries/surgery* ; Superficial Back Muscles/surgery* ; Surgical Mesh ; Titanium ; Treatment Outcome

OBJECTIVE: To investigate the performance of different low-dose CT image reconstruction algorithms for detecting intracerebral hemorrhage. METHODS: Low-dose CT imaging simulation was performed on CT images of intracerebral hemorrhage at 30%, 25% and 20% of normal dose level (defined as 100% dose). Seven algorithms were tested to reconstruct low-dose CT images for noise suppression, including filtered back projection algorithm (FBP), penalized weighted least squares-total variation (PWLS-TV), non-local mean filter (NLM), block matching 3D (BM3D), residual encoding-decoding convolutional neural network (REDCNN), the FBP convolutional neural network (FBPConvNet) and image restoration iterative residual convolutional network (IRLNet). A deep learning-based model (CNN-LSTM) was used to detect intracerebral hemorrhage on normal dose CT images and low-dose CT images reconstructed using the 7 algorithms. The performance of different reconstruction algorithms for detecting intracerebral hemorrhage was evaluated by comparing the results between normal dose CT images and low-dose CT images. RESULTS: At different dose levels, the low-dose CT images reconstructed by FBP had accuracies of detecting intracerebral hemorrhage of 82.21%, 74.61% and 65.55% at 30%, 25% and 20% dose levels, respectively. At the same dose level (30% dose), the images reconstructed by FBP, PWLS-TV, NLM, BM3D, REDCNN, FBPConvNet and IRLNet algorithms had accuracies for detecting intracerebral hemorrhage of 82.21%, 86.80%, 89.37%, 81.43%, 90.05%, 90.72% and 93.51%, respectively. The images reconstructed by IRLNet at 30%, 25% and 20% dose levels had accuracies for detecting intracerebral hemorrhage of 93.51%, 93.51% and 93.06%, respectively. CONCLUSION The performance of reconstructed low-dose CT images for detecting intracerebral hemorrhage is significantly affected by both dose and reconstruction algorithms. In clinical practice, choosing appropriate dose level and reconstruction algorithm can greatly reduce the radiation dose and ensure the detection performance of CT imaging for intracerebral hemorrhage.
Algorithms ; Cerebral Hemorrhage/diagnostic imaging* ; Humans ; Image Processing, Computer-Assisted/methods* ; Least-Squares Analysis ; Tomography, X-Ray Computed/methods*

OBJECTIVE: To propose a nonlocal spectral similarity-induced material decomposition network (NSSD-Net) to reduce the correlation noise in the low-dose spectral CT decomposed images. METHODS: We first built a model-driven iterative decomposition model for dual-energy CT, optimized the objective function solving process using the iterative shrinking threshold algorithm (ISTA), and cast the ISTA decomposition model into the deep learning network. We then developed a novel cost function based on the nonlocal spectral similarity to constrain the training process. To validate the decomposition performance, we established a material decomposition dataset by real patient dual-energy CT data. The NSSD-Net was compared with two traditional model-driven material decomposition methods, one data-based material decomposition method and one data-model coupling-driven material decomposition supervised learning method. RESULTS: The quantitative results showed that compared with the two traditional methods, the NSSD-Net method obtained the highest PNSR values (31.383 and 31.444) and SSIM values (0.970 and 0.963) and the lowest RMSE values (2.901 and 1.633). Compared with the datamodel coupling-driven supervised decomposition method, the NSSD-Net method obtained the highest SSIM values on water and bone decomposed results. The results of subjective image quality assessment by clinical experts showed that the NSSD-Net achieved the highest image quality assessment scores on water and bone basis material (8.625 and 8.250), showing significant differences from the other 4 decomposition methods (P < 0.001). CONCLUSION The proposed method can achieve high-precision material decomposition and avoid training data quality issues and model unexplainable issues.
Algorithms ; Humans ; Image Processing, Computer-Assisted/methods* ; Phantoms, Imaging ; Signal-To-Noise Ratio ; Tomography, X-Ray Computed/methods* ; Water

OBJECTIVE: To propose an adaptive weighted CT metal artifact reduce algorithm that combines projection interpolation and physical correction. METHODS: A normalized metal projection interpolation algorithm was used to obtain the initial corrected projection data. A metal physical correction model was then introduced to obtain the physically corrected projection data. To verify the effectiveness of the method, we conducted experiments using simulation data and clinical data. For the simulation data, the quantitative indicators PSNR and SSIM were used for evaluation, while for the clinical data, the resultant images were evaluated by imaging experts to compare the artifact-reducing performance of different methods. RESULTS: For the simulation data, the proposed method improved the PSNR value by at least 0.2 dB and resulted in the highest SSIM value among the methods for comparison. The experiment with the clinical data showed that the imaging experts gave the highest scores of 3.616±0.338 (in a 5-point scale) to the images processed using the proposed method, which had significant better artifact-reducing performance than the other methods (P < 0.001). CONCLUSION The metal artifact reduction algorithm proposed herein can effectively reduce metal artifacts while preserving the tissue structure information and reducing the generation of new artifacts.
Algorithms ; Artifacts ; Image Processing, Computer-Assisted/methods* ; Metals ; Phantoms, Imaging ; Tomography, X-Ray Computed/methods*

OBJECTIVE: To build a helical CT projection data restoration model at random low-dose levels. METHODS: We used a noise estimation module to achieve noise estimation and obtained a low-dose projection noise variance map, which was used to guide projection data recovery by the projection data restoration module. A filtering back-projection algorithm (FBP) was finally used to reconstruct the images. The 3D wavelet group residual dense network (3DWGRDN) was adopted to build the network architecture of the noise estimation and projection data restoration module using asymmetric loss and total variational regularization. For validation of the model, 1/10 and 1/15 of normal dose helical CT images were restored using the proposed model and 3 other restoration models (IRLNet, REDCNN and MWResNet), and the results were visually and quantitatively compared. RESULTS: Quantitative comparisons of the restored images showed that the proposed helical CT projection data restoration model increased the structural similarity index by 5.79% to 17.46% compared with the other restoration algorithms (P < 0.05). The image quality scores of the proposed method rated by clinical radiologists ranged from 7.19% to 17.38%, significantly higher than the other restoration algorithms (P < 0.05). CONCLUSION The proposed method can effectively suppress noises and reduce artifacts in the projection data at different low-dose levels while preserving the integrity of the edges and fine details of the reconstructed CT images.
Algorithms ; Artifacts ; Tomography, Spiral Computed ; Tomography, X-Ray Computed/methods*

Objective: To study the rapid antidepressant effects of cannabioiol(CBD) on depression-like mice and its possible mechanism. Methods: Chronic restraint was used to establish a mouse depression model. The test mice were divided into 5 groups: normal control group, model group, positive control group, CBD low-dose group (25 mg/kg) and CBD high-dose group(50 mg/kg). The mice in each group were given intragastric administration one hour before the behavioral experiment. After the behavioral experiment, the hippocampus and prefrontal cortex specimens were collected, and brain-derived neurotrophic factor(BDNF), postsynaptic density protein 95(PSD-95), synaptophysin(SYP) and target of rapamycin(mTOR) were tested by ELISA. Results: Compared with the model group, the central area activity distance percentage, the central area activity time percentage and total distance increased in the open field experiment in the CBD low-dose group. Compared with the model group, the percentage of immobility in the forced swimming experiment in the low-dose CBD group decreased. The ELISA test results showed that CBD could rapidly increase the concentration of BDNF and PSD-95 in the prefrontal cortex, as well as the concentration of SYP and mTOR in the hippocampus and prefrontal cortex. Conclusion CBD can rapidly improve the behavioral performance of depression-like mice, and rapidly up-regulate the level of BDNF and synaptic protein in the hippocampus or prefrontal cortex.

Objective:To study the effect of sedimentary type Limonitum on hemostatic indexes in blood and metal ions in serum of rats with hemorrhage. Method:The hemorrhagic rat models were established by warfarin sodium. The experimental animals were divided into control group，model group，powder group and water decoction group. On day 15 from drug administration， the contents of 6-keto prostaglandin F_1α（6-keto-PGF_1α），thromboxane B₂（TXB₂），arachidonic acid（AA），endothelin 1（ET-1），platelet activating factor（PAF），P-selectin（PS），and Ca²⁺ in the whole blood of rats in each group were determined by enzyme-linked immunosorbent assay（ELISA）. The contents of Na，Mg，K，Ca，Fe，Al，Li，Be，Ti，V，Cr，Mn，Co，Ni，Cu，Zn，As，Sr，Cd，Sn，Sb，Ba，and Pb in serum samples were determined by inductively coupled plasma optical emission spectrometer（ICP-OES） and inductively coupled plasma mass spectrometry（ICP-MS）. Result:Compared with the model group，the content of 6-keto-PGF_1α was reduced in the powder group and water decoction group （P<0.05），and the contents of TXB₂，AA，ET-1，PAF，PS，Ca²⁺ were significantly increased（P<0.01），with a positive and beneficial regulatory effect. In the powder group， 10 kinds of metal elements in serum of rats were significantly and positively regulated： Na，K，Ca，Fe，Li，Ti，V，Co，Cu，and Zn（P<0.05，P<0.01）. In the water decoction group， 10 metal elements with significant positive regulation were as follows： Na，K，Ca，Fe，Li，V，Ni，Cu，Zn，and Sr（P<0.05，P<0.01）. In addition，the content of Cr（P<0.01） in the powder group and Cr（P<0.01），Pb（P<0.05） in the water decoction group were significantly reduced. Conclusion:The powder and water decoction of sedimentary type Limonitum had definite and positive intervention effect on warfarin hemorrhage model rats，which could play a coagulation role by enhancing the vasoconstriction ability，promoting the activation of platelets，and increasing the platelet aggregation rate and blood viscosity. The metal elements such as Na，K，Ca，Fe，Li，Ti，V，Co，Cu，Zn，Ni and Sr may be the material basis for sedimentary type Limonitum to exert hemostatic effect. According to the above indicators，the intervention effect of powder group and decoction group was basically the same.

Objective:To explore the clinical utility of liquid chromatography tandem mass spectrometry forprimary aldosteronism screening.Methods:From January to October 2019, 413 inpatients diagnosed hypertension from Fuwai Hospital of Chinese Academy of Medical Sciences were enrolled, including 60 Primary aldosteronism(PA)patients and 353 primary hypertension patients. The plasma aldosterone concentration (PAC) and renin concentration (DRC) were measured after 2 h of standing. The 24 h urine samples were collected for measurement of aldosterone using LC-MS/MS. The performance of urine aldosterone and urine aldosterone/renin ratio (UADRR) in PA screening was evaluated by ROC, and compared with PAC/DRC ratio (ADRR). Meanwhile, the efficiency of urine aldosterone in elderly patients or patients with low blood potassium or 24 h urine sodium over 200 mmol was investigated.Results:Area under the curve (AUC)of urine aldosterone was 0.725 (95 %CI 0.679-0.767), and the best cut-off was 7.13 μg/24 h, which was lower than AUC of ADRR (0.958, 95 %CI 0.934-0.975). The AUC of UADRR was 0.947 (95 %CI 0.920-0.966), the best cut-off was 1.11 (μg/24 h)/(μIU/ml), the sensitivity and specificity were 91.7% and 89.0%, respectively. There is no significant differences found with ADRR. In patients with 24 h urine sodium over 200 mmol, AUC of aldosterone was 0.834 (95 %CI 0.730-0.910) and the best cut-off was 9.31 μg/24 h. The sensitivity and specificity were 90.9% and 68.7%, respectively. For the elderly patients over 60 years old, the AUC of urinary aldosterone was 0.860 (95 %CI 0.770-0.925), and the best cut-off was 6.91 μg/24 h. The sensitivity and specificity were 84.6% and 81.3%, respectively. When admission blood potassium was less than 3.50 mmol/L, AUC of urinary aldosterone was 0.822 (95 %CI 0.684-0.917), and the best cut-off was 10.63 μg/24 h. The sensitivity and specificity were 85.7% and 66.7%, respectively. Conclusion:The detection of aldosterone in urine by LC-MS/MS can provide clinical information for PA screening, and the screening performance is better in patients with 24-hour urine sodium over 200 mmol, elderly patients or patients with low blood potassium. If combined with renin, screening efficiency was the same as that in ADRR.