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:The aim of this study is to investigate the independent risk factors of benign prostatic hyperplasia(BPH)complicated with bladder stones,and construct a nomogram prediction model for clinical progression of bladder stones in pa-tients with BPH.Methods:The clinical data of 368 BPH patients who underwent transurethral resection of the prostate in the Second Affiliated Hospital of Zhengzhou University from January 2018 to January 2021 were retrospectively analyzed.Patients with BPH were divided into group 1(with bladder stones,n=94)and group 2(without bladder stones,n=274).Univariate and multivariate logistic regression analyses were performed to determine the independent risk factors of bladder stones in patients with BPH.A nomogram mod-el was developed,and the areas under the ROC curve and calibration curve were calculated to assess the accuracy of clinical applica-tion.Results:Logistic analysis showed that age(HR:1.075,95％CI:1.032 to 1.120),hypertension(HR:2.801,95％CI:1.520 to 5.161),blood uric acid(HR:1.006,95％CI:1.002 to 1.010),intravesical prostatic protrusion(HR:1.189,95％CI1.119 to 1.264),prostatic urethral angel(HR:1.127,95％CI:1.078to 1.178)were independent risk factors for bladder stones in patients with BPH.The discrimination of the nomogram model based on independent risk factors to predict the occurrence of bladder stones in pa-tients with BPH was 0.874.Conclusion:The nomogram model can predict the risk of bladder stones in BPH patients with good dif-ferentiation and calibration,which is a good guide for clinical work on BPH patients with high risk of bladder stones.

Aim To study the effects of lentinan(LNT)on the metabolism of dendritic cells(DCs)by metabonomics, and uncover the potential mechanism of its regulation of DC function. Methods DC2.4 cells were co-incubated with LNT for 24 h, and the activity of the cells was detected by thiazolyl blue tetrazolium bromide(MTT)assay. The contents of interleukin-6(IL-6), tumor necrosis factorα(TNF-α)and interleukin-12(IL-12)in supernatant were detected by enzyme-linked immunosorbent assay(ELISA). The metabolic general changes of DC2.4 cells were detected by Ultra performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-QTOF/MS), and the differential metabolites were analyzed by multi-distance covariates and bioinformatics, partial least squares-discriminant analysis(PLS-DA). Finally, metabolic pathway analysis was performed by MetaboAnalyst 5.0. Results LNT did not significantly inhibit the activity of DC2.4 cells at the dose of 25100 mg·L-1. LNT(100 mg·L-1)could significantly stimulate the secretion of IL-6, TNF-α and IL-12 in DC2.4 cells. 20 differential metabolites were identified in DC2.4 cells after being stimulated by LNT(100 mg·L-1), which involved 25 metabolic pathways including urea cycle, arginine and proline metabolism. Conclusion The regulation of LNT on DC function involves a variety of amino acid metabolism.

OBJECTIVE: To evaluate the short-term efficacy of proximal fibula osteotomy in the treatment of knee osteoarthritis, and to analyze the effect of osteotomy on the tension of the lateral knee soft tissue of patients and verify the reliability of the Arch string theory. METHODS: A total of 71 patients with varus knee osteoarthritis from December 2019 to March 2022 were included, 3 patients dropped out, and 68 patients completed all trials, collected 27 males and 41 females, aged from 51 to 79 years old, with an average of (68.0±7.0 ) years old. The follow-up time ranged from 4 to 12 weeks, with an average of (3.76±1.94) weeks. After admission, the patient underwent Proximal fibula osteotomy, and the tension of lateral knee soft tissue, visual analogue scale (VAS) of pain, the western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and other indicators were recorded before surgery and 1 month after surgery in the weight-bearing state. RESULTS: According to the VAS, the curative effect of a single index was evaluated by referring to the score before and after treatment by Bao Zongzhao. Thirty seven cases were markedly effective, 27 cases were effective, and 4 cases were ineffective. After surgery, 3 patients presented with weakness of dorsalis pedis extension and 1 presented with paresthesia of dorsalis pedis, which disappeared after symptomatic treatment . The VAS and WOMAC score at 1 month after operation were lower than those before operation, and the differences were statistically significant(P<0.001). The tension of lateral knee soft tissue 1 month after operation was lower than that before operation, and the difference had statistical significance(P<0.001). CONCLUSION Proximal fibula osteotomy is safe and effective in the treatment of varus knee osteoarthritis in the short term. One month after osteotomy, the tension of lateral knee soft tissue increases under weight-bearing state, but the long-term changes still need further observation and follow-up.
Male ; Female ; Humans ; Middle Aged ; Aged ; Osteoarthritis, Knee/surgery* ; Fibula/surgery* ; Reproducibility of Results ; Tibia/surgery* ; Knee Joint/surgery* ; Osteotomy ; Treatment Outcome ; Retrospective Studies

Public health interventions refer to a series of organized and specific measures implemented in specific situations to achieve goals related to improving health, preventing and controlling diseases, and more. As research on intervention measures has deepened, the classification of public health interventions has gradually developed, clarifying the nature, categories and intervention targets of these measures. This typological study can help standardize the concepts of public health interventions, develop, select, and evaluate the effectiveness of intervention measures, and improve the effectiveness of public health actions. This paper reviews the main international classification models of intervention measures, analyzes and summarizes five classification methods of public health interventions, namely, based on goals, nature, objects, hierarchies, and modes of action, and introduces relevant cases. The paper proposes that China should conduct further in-depth and systematic research on public health interventions, develop evidence-based intervention measures and practices, promote the effective transformation of intervention measures and results, and facilitate the development of public health.
Humans ; Public Health ; China

Public health interventions refer to a series of organized and specific measures implemented in specific situations to achieve goals related to improving health, preventing and controlling diseases, and more. As research on intervention measures has deepened, the classification of public health interventions has gradually developed, clarifying the nature, categories and intervention targets of these measures. This typological study can help standardize the concepts of public health interventions, develop, select, and evaluate the effectiveness of intervention measures, and improve the effectiveness of public health actions. This paper reviews the main international classification models of intervention measures, analyzes and summarizes five classification methods of public health interventions, namely, based on goals, nature, objects, hierarchies, and modes of action, and introduces relevant cases. The paper proposes that China should conduct further in-depth and systematic research on public health interventions, develop evidence-based intervention measures and practices, promote the effective transformation of intervention measures and results, and facilitate the development of public health.
Humans ; Public Health ; China

OBJECTIVES: To compare the application effect of microwave digestion - vacuum filtration - automated scanning electron microscopy (MD-VF-Auto SEM) method and plankton gene multiplex PCR system in the diagnosis of drowning. METHODS: Lung, liver and kidney tissue of 10 non-drowning cases and 50 drowning cases were prepared for further MD-VF-Auto SEM method analysis and plankton gene multiplex PCR system analysis. The positive detection rate of the two methods in each tissue was calculated. RESULTS: The positive rate of the MD-VF-Auto SEM method detecting diatoms in drowning cases was 100%, and few diatoms were detected in the liver and kidney tissues of 6 non-drowning cases. By using the plankton gene multiplex PCR system, the diatom positive rate of drowning cases was 84%, and all the non-drowning cases were negative. There were significant differences in the positive rate of the liver, kidney tissues between MD-VF-Auto SEM method and plankton gene multiplex PCR system (P<0.05), as well as the total positive rate of cases. However, no significant differences were found in the positive rates of lung tissues (P>0.05). CONCLUSIONS MD-VF-Auto SEM method is more sensitive than plankton gene multiplex PCR system in diatom test. But the plankton gene multiplex PCR system can also detect plankton other than diatoms. Combination of the two methods can provide a more reliable basis for the diagnosis of drowning.
Diatoms/genetics* ; Drowning/diagnosis* ; Humans ; Liver ; Lung ; Microscopy, Electron, Scanning ; Multiplex Polymerase Chain Reaction ; Plankton/genetics*

Guided by cell-based anti-anaphylactic assay, eighteen cage-like monoterpenoid glycosides (1-18) were obtained from the bioactive fraction of P. lactiflora extract. Among these, compounds 1, 5, 6, 11, 12, 15, and 17 significantly reduced the release rate of β-HEX and HIS without or with less cytotoxicity. Furthermore, the most potent inhibitor benzoylpaeoniflorin (5) was selected as the prioritized compound for the study of action of mechanism, and its anti-anaphylactic activity was medicated by dual-inhibiting HDC and MAPK signal pathway. Moreover, molecular docking simulation explained that benzoylpaeoniflorin (5) blocked the conversion of L-histidine to HIS by occupying the HDC active site. Finally, in vivo on PCA using BALB/c mice, benzoylpaeoniflorin (5) suppressed the IgE-mediated PCA reaction in antigen-challenged mice. These findings indicated that cage-like monoterpenoid glycosides, especially benzoylpaeoniflorin (5), mainly contribute to the anti-anaphylactic activity of P. lactiflora by dual-inhibiting HDC and MAPK signal pathway. Therefore, benzoylpaeoniflorin (5) may be considered as a novel drug candidate for the treatment of anaphylactic diseases.
Animals ; Glucosides ; Mice ; Mice, Inbred BALB C ; Molecular Docking Simulation ; Monoterpenes ; Paeonia ; Plant Roots

The coronavirus disease 2019(COVID-19) is raging in China and more than 20 other countries and regions since the middle of December 2019. Currently, there is no specific drug or vaccine besides symptomatic supportive therapy. Taking full advantage of the clinical experience of traditional Chinese medicine(TCM) in preventing and controlling major epidemics such as SARS, it is an important mission for TCM to propose effective formula with immediate response and solid evidence by using modern biomedical knowledge and techniques(molecular docking assisted TCM formulation for short). In view of the high homology between the gene sequences of the novel coronavirus and SARS virus, and the similarities between the two in terms of pathogenic mechanism and clinical manifestations, our team established a rapid screening and optimization model for the prevention and treatment of the novel coronavirus based on clinical experience and molecular docking technology. Firstly, the clinical team and the research team pre-developed and screened TCM formula by using "back-to-back" manner. Then, the formula was optimized and determined by comparing and analyzing the results of the two groups. The results showed that the research team screened out 46 active ingredients from candidate TCMs that could act on the novel coronavirus S-protein-binding site of human ACE2 protein, which were mainly attributed to 7 herbs such as Lonicerae Japonicae Flos and Mori Folium. The result was largely consistent with the formula raised by the clinical group, verifying and supporting its rationality. This provides evidence for the scientific and potential efficacy of the TCM prescription from the perspective of treatment target analysis, and also suggests that the TCM prescription has the potential to directly inhibit viral infection in addition to improving clinical symptoms or syndromes. Based on this, our team optimized and formed a new anti-coronavirus TCM prescription "Keguan Yihao", immediately providing the TCM prescription with certain clinical experience and objective evidence support for the prevention and treatment of new emergent infectious diseases in our hospital. The TCM prescription was combined with modern medicine symptomatic supportive treatment for clinical treatment, preliminary results showed better effect than symptomatic supportive therapy alone. This research has innovated the method mode in clinical practice and basic research integration of traditional Chinese medicine for the prevention and control of new emerging infectious diseases. It is of great significance to further improve the rapid response mechanism of TCM in face of major epidemics, and further improve the capability level of TCM to prevent and treat new emerging infectious diseases.
Angiotensin-Converting Enzyme 2 ; Angiotensin-Converting Enzyme Inhibitors/pharmacology* ; Betacoronavirus ; COVID-19 ; China ; Coronavirus Infections/drug therapy* ; Drugs, Chinese Herbal/pharmacology* ; Humans ; Medicine, Chinese Traditional ; Molecular Docking Simulation ; Pandemics ; Peptidyl-Dipeptidase A/chemistry* ; Pneumonia, Viral/drug therapy* ; SARS-CoV-2 ; Spike Glycoprotein, Coronavirus/chemistry* ; COVID-19 Drug Treatment

Anterior Cruciate Ligament Injuries ; Biomechanical Phenomena ; Humans ; Knee Joint/surgery* ; Posterior Cruciate Ligament/surgery* ; Posterior Cruciate Ligament Reconstruction ; Reconstructive Surgical Procedures ; Robotics