Transfusion and Anemia Expertise Initiative-Control/Avoidance of Bleeding developed a strategy for platelet and plasma infusion management in critically ill children based on systematic reviews and consensus meetings of international multidisciplinary experts. One good practice statement and six expert consensus statements were proposed for plasma and platelet transfusions in critically ill children following severe trauma, traumatic brain injury, and/or intracranial hemorrhage. This article introduces the specific methods and basis for the formation of recommendations in this part of the guide.

ObjectiveTo evaluate the public health governance capacity in Jiangsu Province and provide an optimized pathway for the construction of a “strong, rich, beautiful, and high-quality” new Jiangsu. MethodsA total of 806 policy documents, 658 public information reports, and 148 research literatures related to public health governance capacity in Jiangsu Province from January 1995 to December 2023 were collected. The status of current public health goverance was assessed based on the evaluation criteria suitable for public health systems, and the strengths and the weaknesses of the system were identified. ResultsThe public health governance capability of Jiangsu Province was scored at 738.3 points, ranking 3rd nationally. Maternal health care and emergency response capacities achieved leading positions nationwide, both ranking 2nd. Jiangsu had exhibited a standardized guidance in the strategic level, a well-established management mechanism, an extensive coverage in information collection, and a scientifically established health targets setting. However, bottlenecks remained, including an unclear division of responsibilities across organizational departments, an insufficient public-health workforce, the absence of a stable growth mechanism for government funding investment, and difficulties in promptly identifying public needs. ConclusionJiangsu’s public-health system demonstrates leading nationally, yet several components remain underdeveloped. Future efforts should consolidate advantages while addressing weaknesses, further diversify content and forms, establish a stable funding increase mechanism, and clarify departmental functions, thereby providing solid health support for realizing the developmental goals of a “strong, rich, beautiful and high-quality” new Jiangsu.

ObjectiveTo systematically assess the public health governance capacity in Zhejiang Province, to conduct an in-depth analysis of its strengths and weaknesses, so as to provide scientific basis and strategic recommendations for further enhancement. MethodsA systematic collection of policy documents, public information reports, and research literature related to public health governance capacity in Zhejiang Province from 2002 to 2023 was conducted (encompassing a total of 1 263 policy documents, 138 pieces of information reports and 631 research articles). Based on the evaluation criteria suitable for public health systems previously developed by the research team, the basic status and magnitude of change in public health governance capacity in Zhejiang Province was evaluated. Additionally, normative gap analyses were employed to identify the strengths and weaknesses. ResultsZhejiang Province ranked 4th nationwide in terms of public health governance capacity with a score of 733.4 points (1 000.0-point maximum). The province has effectively implemented the principle of health first (scoring 698.5 points in the assessment of health-first strategy implementation) and attached sufficient importance to health-related goals (scoring 658.2 points in the scientific rationality of goal setting). However, the implementation of inter-departmental coordination and incentive mechanisms only scored 178.7 points, the feasibility of management and monitoring mechanisms scored even lower at only 144.0 points, and the coverage of incentive mechanisms scored 286.0 points. ConclusionZhejiang Province has effectively implemented its health first strategy and attached great importance to health targets, but still needs to strengthen cross-departmental coordination mechanisms and health-oriented incentives.

Objective:To evaluate the efficacy of the flipped classroom combined with 3D body anatomy software in the teaching of ultrasound-guided transversus thoracic muscle plane block.Methods:In this randomized controlled trial, 100 second-year resident physicians from the Department of Anesthesiology and Perioperative Medicine at our hospital, male or female, aged 22-26 yr, who rotated during January 2023 to January 2025, were selected and divided into 2 groups ( n=50 each) using a table of random numbers: experimental group and control group. Experimental group employed the teaching model of flipped classroom combined with 3D body anatomy software, while control group used the traditional teaching model. The scores of theoretical assessment, accuracy rate of ultrasound image identification, scores of procedural skills, success rates of clinical procedure, teaching satisfaction, and success rates of clinical translation after 1 month follow-up were compared between two groups. Results:Compared with control group, the scores of theoretical assessment, accuracy rate of ultrasound image identification, scores of procedural skills, success rates of clinical procedure, teaching satisfaction, and success rates of clinical translation after 1 month follow-up were significantly increased in experimental group ( P<0.05). Conclusions:The combination of flipped classroom and 3D body anatomy software is more effective than the traditional teaching methods when used for teaching of ultrasound-guided transversus thoracic muscle plane block.

Objective To observe the effect of a heavy load exercise on the ultrastructure,function and fission of skeletal muscle mitochondria in rats,and to analyze the changes of the phosphorylation expression of mitochondrial fission protein and upstream kinase at different times postexercise,and to explore the effect of acute heavy load exercise on mitochondrial fission in skeletal muscle of rats and its possible mechanism.Methods Forty-eight adult male Sprague-Dawley rats were randomly divided in-to a quiet control group(C,n=8)and an exercise group(E,n=40).Rats in the E group exercised on a treadmill down a 16° decline at 16 m/min for 90 min and were further divided into 0 h,12 h,24 h,48 h,and 72 h postexercise subgroups.Soleus muscle was isolated and mitochondria were ex-tracted at the corresponding time points after exercise.The ultrastructure of mitochondria in the soleus muscle was observed using transmission electron microscopy,and mitochondrial quantity and morphomet-ric analysis were conducted.Moreover,the colocalization and quantity of dynamin-related protein 1(Drp1)and cytochrome C oxidease subunit Ⅳ(COXⅣ)in the soleus muscle were detected using im-munofluorescence double-labeling techniques.Meanwhile,protein levels of soleus musclep-Drp1Ser616,p-Drp1Ser637,p-extracellular regulatory protein kinaseThr202/Tyr204(p-ERKThr202/Tyr204),p-protein kinaseAThr197(p-PKAThr197),and mitochondrial NADH of ubiquinone oxidoreductase subunit B8(NDUFB8)and ubiqui-nol-cytochrome C reductase core protein 2(UQCRC2)were determined by using Western blotting.An-other twenty-four rats were randomly divided into a DMSO group(CD),a U0126 group(CU),an Ex-ercise+DMSO group(ED),and an Exercise+U0126 group(EU).Six mice in each group were giv-en a single intra-bitoneal injection of DMSO or ERK inhibitor U0126 20 min before acute downhill running.Then,their phosphorylated expressions of ERKThr202/Tyr204 and Drp1Ser616 in soleus muscle were de-tected by Western blotting.Results(1)From 0 h to 48 h after exercise,the soleus muscle mitochon-dria showed swelling,rounding,and uneven distribution of mitochondria,among which the degree of mitochondrial damage was the most serious at 12 h and 24 h after exercise.Moreover,the protein ex-pression of NDUFB8 and UQCRC2 in the mitochondria fractions from soleus muscle was significantly lower at 12 h post-exercise(P<0.05).(2)The co-localization of Drp1 and COXⅣ in the skeletal muscle increased significantly at 12 h to 24 h after a heavy load exercise compared with group C and group E0(P<0.01).Moreover,the mitochondrial area,circumference,aspect ratio and Ferret diameter in the skeletal muscle were significantly lower at 12 h to 24 h postexercise(P<0.05).Meanwhile,the number of mitochondria was significantly higher at 24 h after exercise(P<0.01).(3)The phosphoryla-tion of ERKThr202/Tyr204,PKAThr197 and Drp1Ser616 was significantly higher at 24 h after exercise(P<0.01),while that of Drp1Ser637 was significantly lower at 48 h and 72 h post-exercise(P<0.01).However,the phosphorylated expressions of ERKThr202/Tyr204 and Drp1Ser616 were significantly down-regulated by U0126 treatment before exercise.Conclusion A session of heavy load exercise caused mitochondrial structure and function damage and induced mitochondrial fission in the skeletal muscle,and then to maintain the homeostasis of skeletal muscle cells by cleaving damaged mitochondria.The mechanism of promot-ing skeletal muscle repair may be related to the positive and negative regulation of Drp1 activity by the phosphorylation of Drp1Ser616 and Drp1Ser637,respectively.Among them,the activation of ERKThr202/Tyr204 mediates the phosphorylation activation of Drp1Ser616,but PKAThr197 is not an upstream kinase that medi-ates the inactivation of Drp1Ser637 phosphorylation.

Objective To explore the mechanism by which cancer-associated fibroblasts(CAFs)regulate CD13-high expression neutrophil-like myeloid-derived suppressor cell(CD13hi-nMDSC)migration in pancreatic ductal adenocarcinoma(PDAC),so as to provide potential molecular targets and experimental evidences for immunotherapy in patients.Methods CAFs were isolated and purified from pancreatic cancer tissues of 5 PDAC patients.The phenotype and purity of CAFs were identified by immunofluorescence and flow cytometry.The expression of related factors in CAF was detected by quantitative polymerase chain reaction(qPCR)and enzyme-linked immunosorbent assay(ELISA).CAF conditioned medium and myeloid-derived suppressor cell(MDSC)migration system were constructed by Transwell to observe the migration of MDSCs and to study the specific mechanisms by which the aforementioned cytokines participate in regulating the migration of MDSCs.Results The isolated primary CAFs expressed activation biomarkers fibroblast activation protein(FAP)and α-smooth muscle actin(α-SMA),while the human foreskin fibroblasts(HFFs)of control cells did not express FAP and α-SMA.qPCR results showed that the mRNA expression levels of interleukin 6(IL-6),monocyte chemotactic protein 1(MCP-1),and stromal cell-derived factor 1(SDF-1)in CAFs were higher than those in HFFs(all P＜0.01).The contents of IL-6,MCP-1,and SDF-1 in the CAF culture supernatant were significantly higher than those in the HFF culture supernatant(all P＜0.01),and the secretion content increased with the prolongation of culture time.Compared with HFF conditioned medium and regular medium(RPMI 1640),CAF conditioned medium could recruit more total MDSCs and CD13hi-nMDSCs(all P＜0.01).The addition of SDF-1 recombinant protein alone in the culture system could induce the migration of total MDSCs and CD13hi-nMDSCs,and the addition of SDF-1 neutralizing antibodies or C-X-C motif chemokine receptor 4(CXCR4)blocking antibodies could significantly reduce the migration of CD13hi-nMDSCs induced by CAF conditioned medium(all P＜0.01).Although MCP-1 alone could also induce the migration of total MDSCs and CD13hi-nMDSCs,the number of CD13hi-nMDSCs migrating was significantly less than that of the SDF-1 experimental group.The IL-6 recombinant protein did not induce the migration of total MDSCs or CD13hi-nMDSCs.Conclusion CAFs can mediate the migration of total MDSCs and CD13hi-nMDSCs in PDAC through SDF-1/CXCR4 pathway.

Hepatocellular carcinoma(HCC),which is essentially primary liver cancer,is closely related to CD8+T cell immune infiltration and immune suppression.We constructed a CD8+T cells related risk score model to pre-dict the prognosis of HCC patients and provided therapeutic guidance based on the risk score.Using integrated bulk RNA sequencing(RNA-seq)and single-cell RNA sequencing(scRNA-seq)datasets,we identified stable CD8+T cell signatures.Based on these signatures,a 3-gene risk score model,comprised of KLRB1,RGS2,and TN-FRSF1B was constructed.The risk score model was well validated through an independent external validation co-hort.We divided patients into high-risk and low-risk groups according to the risk score and compared the differ-ences in immune microenvironment between these two groups.Compared with low-risk patients,high-risk patients have higher M2-type macrophage content(P＜0.0001)and lower CD8+T cells infiltration(P＜0.0001).High-risk patients predict worse response to immunotherapy treatment than low-risk patients(P＜0.01).Drug sensitivity a-nalysis shows that PI3K-β inhibitor AZD6482 and TGFβRII inhibitor SB505124 may be suitable therapies for high-risk patients,while the IGF-1R inhibitor BMS-754807 or the novel pyrimidine-based anti-tumor metabolic drug Gemcitabine could be potential therapeutic choices for low-risk patients.Moreover,expression of these 3-gene mod-el was verified by immunohistochemistry.In summary,the establishment and validation of a CD8+T cell-derived risk model can more accurately predict the prognosis of HCC patients and guide the construction of personalized treatment plans.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Objective:To investigate the correlation of serum interleukin-6 (IL-6) and homocysteine (Hcy) levels, monocyte-to-lymphocyte ratio (MLR), and serum lipid levels [triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) levels] with ulcerative colitis.Methods:The clinical data of 98 patients with ulcerative colitis admitted to Bayannur Hospital from November 2021 to November 2023 (observation group) were retrospectively analyzed. Forty-nine healthy individuals who were selected at a 2:1 ratio during the same period were included in the control group. Serum IL-6 and Hcy levels, MLR, and lipid levels were compared between the two groups. The diagnostic efficacy of serum IL-6, Hcy, MLR, and lipid levels for ulcerative colitis was assessed using receiver operating characteristic (ROC) curves. Additionally, Pearson correlation analysis was conducted to analyze correlation of serum IL-6 and Hcy levels, MLR, and lipid levels with ulcerative colitis.Results:In the observation group, serum IL-6 and Hcy levels and MLR were (39.87 ± 12.36) pg/mL, (13.01 ± 3.52) μmol/L, and (0.38 ± 0.12), respectively, all of which were significantly higher than those in the control group [(22.3 ± 3.26) pg/mL, (10.05 ± 3.26) μmol/L, (0.29 ± 0.08), t = 9.77, 4.92, 4.78, all P < 0.05]. In the observation group, serum levels of TG, TC, LDL-C, and HDL-C levels were (1.16 ± 0.32) mmol/L, (4.12 ± 1.15) mmol/L, (2.60 ± 0.75) mmol/L, and (1.02 ± 0.17) mmol/L, respectively, all of which were significantly lower than those in the control group [(1.45 ± 0.41) mmol/L, (4.91 ± 0.99) mmol/L, (3.20 ± 0.71) mmol/L, (1.13 ± 0.16) mmol/L, t = 4.71, 4.11, 4.65, 3.77, all P < 0.05]. ROC curve analysis indicated that the areas under the curve (AUC) for diagnosing ulcerative colitis based on serum levels of IL-6, Hcy, MLR, TG, TC, LDL-C, and HDL-C were 0.957, 0.749, 0.746, 0.732, 0.678, 0.722, and 0.681, respectively. Pearson correlation analysis showed that serum levels of IL-6, Hcy, MLR, TG, TC, LDL-C, and HDL-C were all correlated with the severity of ulcerative colitis in patients ( r = 0.501, 0.615, 0.605, -0.577, -0.542, -0.548, -0.646, all P < 0.05). Additionally, serum levels of IL-6, Hcy, and MLR were negatively correlated with lipid levels ( r = -0.806, -0.801, -0.791, -0.649, -0.728, -0.671, -0.720, -0.655, -0.857, -0.877, -0.889, -0.583, all P < 0.05). Conclusions:In patients with ulcerative colitis, serum levels of IL-6, Hcy, and MLR are elevated, while lipid levels are decreased. Additionally, serum levels of IL-6, Hcy, MLR, and lipid levels are associated with the severity of the disease. There is also a correlation between serum levels of IL-6, Hcy, MLR, and lipid levels.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.