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.

Diabetes is one of the major chronic non-communicable diseases in China. This article discusses the progress of diabetes prevention and control under the leadership of the government and how to integrate the National Diabetes Prevention and Control Center (DPCC) into the work of primary medical and health institutions in Yunnan Province, providing reference and experience for diabetes prevention and control efforts in the central and western regions of China.

Diabetes is one of the major chronic non-communicable diseases in China. This article discusses the progress of diabetes prevention and control under the leadership of the government and how to integrate the National Diabetes Prevention and Control Center (DPCC) into the work of primary medical and health institutions in Yunnan Province, providing reference and experience for diabetes prevention and control efforts in the central and western regions of China.

This study investigated the mechanism by which kaempferol(KAE) affected intervertebral disc degeneration(IDD) through the p38 mitogen-activated protein kinase(p38 MAPK) signaling pathway. Rats were randomly divided into five groups: control group, model group, low-dose KAE group, medium-dose KAE group, and high-dose KAE group. An IDD model was established by needle puncture of the caudal intervertebral discs. Four weeks post-surgery, the rats were administered KAE via gavage for 8 consecutive weeks. Magnetic resonance imaging(MRI) was performed, and samples were collected. In vitro, an inflammation model of nucleus pulposus cells(NPCs) induced by tumor necrosis factor-alpha(TNF-α) was constructed. Anisomycin was used to activate the p38 MAPK signaling pathway. NPCs were divided into blank, model, KAE, agonist, and KAE + agonist groups. After 1 day of treatment, cell proliferation activity was assessed using the CCK-8. Protein expression levels were determined by Western blot, and mRNA expression was measured by real-time quantitative polymerase chain reaction. Cell apoptosis was detected by TUNEL staining, and immunofluorescence staining was used to detect type Ⅱ collagen and matrix metalloproteinase 3(MMP3). In vivo results indicated significant improvement in the degree of IDD in the treatment groups compared to the model group, with the medium-dose group showing more pronounced therapeutic effects than the low-and high-dose groups. In vitro results demonstrated that KAE treatment significantly enhanced NPC proliferation activity, down-regulated the expression levels of Bcl-2-associated X protein(Bax), interleukin-6(IL-6), interleukin-17A(IL-17A), MMP3, and a disintegrin and metalloproteinase with thrombospondin motifs 5, and inhibited the phosphorylation of p38 MAPK pathway-related proteins. Activation of the p38 MAPK signaling pathway by anisomycin reduced the therapeutic effects of KAE. The study concluded that KAE could improve the proliferation activity of degenerated NPCs, reduce inflammation levels, and slow the progression of IDD in rats, and the mechanism was likely related to the regulation of the p38 MAPK signaling pathway.
Animals ; p38 Mitogen-Activated Protein Kinases/genetics* ; Kaempferols/pharmacology* ; Intervertebral Disc Degeneration/genetics* ; Rats ; Rats, Sprague-Dawley ; Male ; Apoptosis/drug effects* ; Cell Proliferation/drug effects* ; Nucleus Pulposus/drug effects* ; Signal Transduction/drug effects* ; Humans ; MAP Kinase Signaling System/drug effects*

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.

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.

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.