PURPOSE: Septic shock is associated with high mortality and poor outcomes among sepsis patients with coagulopathy. Although traditional statistical methods or machine learning (ML) algorithms have been proposed to predict septic shock, these potential approaches have never been systematically compared. The present work aimed to develop and compare models to predict septic shock among patients with sepsis. METHODS: It is a retrospective cohort study based on 484 patients with sepsis who were admitted to our intensive care units between May 2018 and November 2022. Patients from the 908th Hospital of Chinese PLA Logistical Support Force and Nanchang Hongdu Hospital of Traditional Chinese Medicine were respectively allocated to training (n=311) and validation (n=173) sets. All clinical and laboratory data of sepsis patients characterized by comprehensive coagulation indexes were collected. We developed 5 models based on ML algorithms and 1 model based on a traditional statistical method to predict septic shock in the training cohort. The performance of all models was assessed using the area under the receiver operating characteristic curve and calibration plots. Decision curve analysis was used to evaluate the net benefit of the models. The validation set was applied to verify the predictive accuracy of the models. This study also used Shapley additive explanations method to assess variable importance and explain the prediction made by a ML algorithm. RESULTS: Among all patients, 37.2% experienced septic shock. The characteristic curves of the 6 models ranged from 0.833 to 0.962 and 0.630 to 0.744 in the training and validation sets, respectively. The model with the best prediction performance was based on the support vector machine (SVM) algorithm, which was constructed by age, tissue plasminogen activator-inhibitor complex, prothrombin time, international normalized ratio, white blood cells, and platelet counts. The SVM model showed good calibration and discrimination and a greater net benefit in decision curve analysis. CONCLUSION The SVM algorithm may be superior to other ML and traditional statistical algorithms for predicting septic shock. Physicians can better understand the reliability of the predictive model by Shapley additive explanations value analysis.
Humans ; Shock, Septic/blood* ; Machine Learning ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Sepsis/complications* ; ROC Curve ; Cohort Studies ; Adult ; Intensive Care Units ; Algorithms ; Blood Coagulation ; Critical Illness

Objective To investigate plasma protein expression changes in heatstroke patients using proteomics technology and to identify reliable prognostic biomarkers.Methods A retrospective analysis was conducted on 20 heatstroke patients hospitalized at the 908th Hospital of the Chinese PLA Joint Logistics Support Force from July 2022 to February 2024.Patients were divided into survival(n=16)and death groups(n=4)based on 28-day outcomes.Fasting venous blood samples were collected from both groups for proteomic analysis.Liquid chromatography-mass spectrometry(LC-MS/MS)was used to identify and screen differentially expressed proteins.Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)enrichment analyses were performed.LASSO regression was applied to screen key prognostic biomarkers,and receiver operating characteristic(ROC)curve analysis was used to evaluate their predictive value.Results A total of 27 upregulated and 90 downregulated proteins were identified between the two groups.These proteins were primarily involved in biological processes such as immune responses,complement activation,and metabolic processes.LASSO regression analysis indicated that actin-related protein 2(ARP2),cysteine-rich scavenger receptor type 1 M130(CD163),and catalase(CAT)could serve as effective biomarkers for evaluating heatstroke prognosis.ROC curve analysis demonstrated that ARP2 had higher diagnostic efficacy(AUC=0.98,sensitivity=0.80,specificity=1.00)compared to CD163(AUC=0.94,sensitivity=0.76,specificity=1.00),CAT(AUC=0.96,sensitivity=0.67,specificity=1.00),and acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score(AUC=0.79,sensitivity=0.44,specificity=1.00).Conclusion Elevated plasma ARP2 level has good clinical value for predicting poor prognosis in heatstroke patients.

Based on the literature study,the thoughts and possible therapeutic mechanism in treating male infertility from the perspective of spleen and kidney by regulating intestinal flora were explored.Disturbance of intestinal flora is one of the important factors leading to the development of male infertility,and the spleen and kidney have certain similarities to intestinal flora in the physiological function and pathological changes.Moreover,tonifying the kidney and strengthening the spleen can regulate the intestinal flora by fostering the growth of beneficial bacteria,inhibiting the reproduction of pathogenic bacteria,and protecting the barrier of the intestinal mucosa.Therefore,the possible therapeutic mechanisms in treating male infertility with the prescriptions for tonifying the kidney and strengthening the spleen to regulate intestinal flora are as follows:inhibiting the expression of inflammatory factors to reduce the inflammatory reaction of testicular tissues;improving the antioxidant capacity to alleviate the damage of spermatozoa caused by oxidative stress,and improving the bad mood to alleviate the impact of psychological stress on the reproductive system.The exploration of the thoughts for treating male infertility from the perspective of spleen and kidney by regulating intestinal flora may provide a new entry point for modern Chinese medicine clinical treatment of male infertility.

The typical regions have established a coordinated chronic disease management organization system,promoted the coordinated management of health care,medical,and medicine systems,optimized the chronic disease service process,and empowered the grassroots through information technology construction.It has achieved different degrees of results in controlling the condition of patients,reducing the hospitalization rate and the level of medical expenses of patients with chronic diseases,and saving medical insurance funds.

Objective To select,evaluate and integrate the optimal evidence for collection of faecal specimen and management of patients with inflammatory bowel disease(IBD),therefore to provide evidence-based strategies for specimen collection.Methods According to the model of"6S"evidence,systematic search was performed on UpToDate,JBI evidence-based healthcare database,BMJ Best Practice,National Guideline Clearinghouse(NGC),Registered Nurses'Association of Ontario(RNAO),Scottish Intercollegiate Guidelines Network,(SIGN),American Society for Microbiology(ASM),Web of Science,Cochrane Library,PubMed,Embase,CNKI,Wanfang Data,Chinese Biomedical Literature Database and the associations related to IBD,DXY,Medlive in order to acquire information in relation to the collection of faecal specimens and management of patients with IBD.Data were searched from the inception of databases to June10th 2023.Quality evaluation and evidence extraction of the literatures were performed by two researchers to ensure that the literatures were met with the quality standards.Results A total of nine articles were included and they were 1 clinical decision,3 clinical guidelines,3 expert consensus,1 systematic review and 1 evidence summary.Finally,27 pieces of evidence were summarised from five aspects including preparation before sampling,sampling time,sampling method,preservation and transportation,and health education.Conclusions This study summarises the best evidences in faecal collection from IBD patients,which can provide evidence-based strategies for standardised collection of clinical faecal specimens.Medical staff can apply the evidences according to clinical conditions hence to improve the accuracy in monitoring and diagnosis of IBD.

Epigenomic imbalance drives abnormal transcriptional processes,promoting the onset and progression of cancer.Although defective gene regulation generally affects carcinogenesis and tumor suppression networks,tumor immunogenicity and immune cells involved in antitumor responses may also be affected by epigenomic changes,which may have significant implications for the development and application of epigenetic therapy,cancer immunotherapy,and their combinations.Herein,we focus on the impact of epigenetic regulation on tumor immune cell function and the role of key abnormal epigenetic processes,DNA methylation,histone post-translational modification,and chromatin structure in tumor immunogenicity,and introduce these epigenetic research methods.We emphasize the value of small-molecule inhibitors of epigenetic modulators in enhancing antitumor immune responses and discuss the challenges of developing treatment plans that combine epigenetic therapy and immuno-therapy through the complex interaction between cancer epigenetics and cancer immunology.

To investigate the prevalence and epidemiological characteristics of diabetic retinopathy (DR) in Yunnan Province, explore its risk factors, and provide a basis for the prevention and treatment of chronic complications of diabetes mellitus (DM). This is a large cross-sectional study, in all, 1 524 DM patients in 16 communities and villages of Yunnan Province who were registered in health service centers were included in this study from August to November 2019. All patients completed a uniform questionnaire, anthropometric measurements, biochemical measurements, and auxiliary examinations. Logistic regression analysis was used to screen the risk factors of DR. The prevalence rates of DR, mild non-proliferative DR (mild-NPDR), and referable DR (RDR) were 16.0% (244/1 524), 4.5% (69/1 524), and 11.5% (175/1 524), respectively. Glycated hemoglobin A 1c (HbA 1c)≥7.0% was the risk factor of mild-NPDR ( OR=1.872, 95% CI 1.055-3.323) and RDR ( OR=4.821, 95% CI 2.917-7.969). Blood pressure≥130/80 mmHg (1 mmHg=0.133 kPa) was the risk factor of mild-NPDR ( OR=1.933, 95% CI 1.112-3.358) and RDR ( OR=1.505, 95% CI 1.063-2.130). In Yunnan Province, 16.0% DM patients had accompanying DR, wherein about 71.7% of them required an ophthalmology referral, and the high incidence of RDR in DM patients was associated with poor control of blood glucose and blood pressure.

Objective:To explore the mechanism of hypertension inducing erectile dysfunction(ED)using transcriptomics and network pharmacology.Methods:We randomly divided 12 male rats with spontaneous hypertension(SHT)into an L-arginine(LA)group(n=6)and an SHT model control(MC)group(n=6),took another 6 Wistar Kyoto male rats as normal controls(NC),and treated the animals in the LA group by intraperitoneal injection of LA at 400 mg/kg and those in the latter two groups with physio-logical saline,once a day,all for 7 days.Then we observed the blood pressure and penile erection of the rats,and determined the ex-pressions of the cGMP/PKG signaling pathway-related proteins and mRNAs in different groups using ELISA,Western blot and RT-qPCR.Results:Transcriptomics combined with network pharmacology showed that the cGMP/PKG signaling pathway played a key role in hypertension-induced ED.In vivo animal experiments revealed a significantly lower frequency of penile erections in the MC than in the NC group(1.33±0.52 vs 2.67±0.51,P＜0.05).The protein expressions of eNOS,PKG and sGC were markedly de-creased in the model controls compared with those the normal controls(P＜0.05),but remarkably upregulated in the LA group com-pared with those in the MC group(P＜0.05).Conclusion:Hypertension decreases the expressions of eNOS,NO,sGC,cGMP and PKG proteins and the level of testosterone by inhibiting the cGMP/PKG signaling pathway,which consequently suppresses the relaxa-tion of the penile vascular smooth muscle and reduces erectile function.

Ankylosing spondylitis(AS)is a chronic inflammatory autoimmune disease characterized by inflammatory back pain.Its pathological features mainly include inflammation,bone destruction,and pathologic new bone formation.The etiology of AS is complex,and it may be related to genetics,infections,the environment,and intestinal flora.Its pathogenesis has not yet been clarified.In recent years,osteoimmunology,as a new theme in the study of inflammatory arthritis,plays an important role in the pathogenesis and development of AS,which was embodied in the inflammatory response and imbalance of bone metabolism.Traditional Chinese medicine(TCM)has the characteristics of multiple pathways,multiple components,multiple targets and multiple levels.TCM can improve the inflammatory response and bone metabolism imbalance of AS by regulating the osteoblasts of the skeletal system and the related factors of the immune system,thus to prevent and control AS.For this reason,the paper summarizes the role of bone immunology in the pathogenesis of AS,and reviews the current status of research on the intervention of TCM in bone immunology for the treatment of AS,with a view to providing certain references for the future clinical application of TCM in the prevention and treatment of AS.