Objective To propose a novel identification algorithm based on ensemble learning for assessing the severity of acute respiratory distress syndrome(ARDS)to achieve continuous monitoring of the disease severity.Methods Firstly,leve-raging the open-source MIMIC-Ⅳ database,a variety of non-invasive physiological parameters of patients were extracted and subjected to preliminary preprocessing.A multivariate feature selection algorithm was employed to rank these parameters and calculate feature importance scores through weighted computation.Secondly,based on the feature importance scores,a subset search algorithm was utilized to identify the subset of features that could yield optimal performance across four machine learning algorithms:neural networks,logistic regression,AdaBoost and XGBoost.Finally,a soft voting ensemble method was designed using a generalized linear regression model to integrate the results of each single machine learning algorithm,and a multivariate ensemble learning algorithm was proposed by combining the optimal feature subsets.The algorithm proposed when used to identify the severity of ADRS was evaluated with MIMIC-Ⅳ database,and compared with the traditional algorithms.Results The sensitivity,specificity,accuracy and AUC of the algorithm were 87.15％,89.23％,88.34％and 0.923 4,respectively,all of which outperformed those of the traditional algorithms.Conclusion The ARDS severity identification algorithm based on ensemble learning is capable of achieving continuous and real-time monitoring of the severity of ARDS,thereby offering robust support for the early identification and warning of ARDS in patients.[Chinese Medical Equipment Journal,2025,46(2):1-9]

Objective To propose a novel identification algorithm based on ensemble learning for assessing the severity of acute respiratory distress syndrome(ARDS)to achieve continuous monitoring of the disease severity.Methods Firstly,leve-raging the open-source MIMIC-Ⅳ database,a variety of non-invasive physiological parameters of patients were extracted and subjected to preliminary preprocessing.A multivariate feature selection algorithm was employed to rank these parameters and calculate feature importance scores through weighted computation.Secondly,based on the feature importance scores,a subset search algorithm was utilized to identify the subset of features that could yield optimal performance across four machine learning algorithms:neural networks,logistic regression,AdaBoost and XGBoost.Finally,a soft voting ensemble method was designed using a generalized linear regression model to integrate the results of each single machine learning algorithm,and a multivariate ensemble learning algorithm was proposed by combining the optimal feature subsets.The algorithm proposed when used to identify the severity of ADRS was evaluated with MIMIC-Ⅳ database,and compared with the traditional algorithms.Results The sensitivity,specificity,accuracy and AUC of the algorithm were 87.15％,89.23％,88.34％and 0.923 4,respectively,all of which outperformed those of the traditional algorithms.Conclusion The ARDS severity identification algorithm based on ensemble learning is capable of achieving continuous and real-time monitoring of the severity of ARDS,thereby offering robust support for the early identification and warning of ARDS in patients.[Chinese Medical Equipment Journal,2025,46(2):1-9]

This study aimed to investigate the therapeutic effects of Morinda officinalis iridoid glycosides (MOIG) on bone loss of rheumatoid arthritis (RA) rats, and the mechanism of osteoclast function and activity induced by lipopolysaccharide (LPS). RA rats were established by injecting bovin type II collagen. The Bio-ethic Committee of Zhejiang Chinese Medical University approved all experimental protocols associated with this study (IACUC-20180410-03). The collagen-induced arthritis (CIA) rats were administered drug by gavage for 8 weeks; the femoral trabecular micro-structure changes were observed in CIA rats by micro-CT; the LPS-induced osteoclasts model further observed the effect and mechanism of anti-inflammatory osteoporosis in vitro. The results indicated that MOIG could markedly increase bone mineral density (BMD) in CIA rats, improve trabecular micro-structure. In vitro studies demonstrated that MOIG could significantly inhibit osteoclastogensis and differentiation, suppress tartrate resistant acid phosphatase (TRAP) activity, F-actin ring formation, TNF receptor associated factor 6 (TRAF6) recruitment, and inhibitor of nuclear factor kappa-Bα (IκBα) degradation as well as p65 phosphorylation, thereby repressing nuclear factor kappa-B (NF-κB) signaling pathway activation. Subsequently, MOIG effectively inhibited osteoclast nuclear factor of activated T-cells c1 (NFATc1) and cellular oncogene Fos (c-Fos) expression, as well as bone resorption related protein activity including matrix metalloprotein 9 (MMP-9) and cathepsin K (CtsK). Meanwhile, MOIG also repressed the phosphorylation expression of Janus activating kinase 2 (JAK2) and signal transducer and activator of transcription 3 (STAT3), thereby inhibiting JAK2/STAT3 signaling pathway activation. Moreover, further studies found that MOIG could suppress glycogen synthase kinase-3β (GSK-3β) activity, and GSK-3β gene silencing could markedly inhibit oetsoclast F-actin ring formation as well as the phosphorylation expression of p65 and STAT3. Of note, compared with GSK-3β gene silencing group, there was no significant difference in the group treated with both MOIG with GSK-3β gene silencing simultaneously. Thus, the results suggested that MOIG may inhibit NF-κB signaling pathway and JAK2/STAT3 signaling pathway activation via regulating GSK-3β, thereby alleviating bone destruction in RA.

Objective:To investigate the effects of early postoperative nutritional management under enhanced recovery after surgery (ERAS) guidelines on nutritional biochemical indicators and length of hospital stay in patients undergoing lumbar fusion surgery. Method:Ninety-four patients who underwent lumbar posterior internal fixation + intervertebral fusion surgery in Department of Orthopedics Ⅲ of Ningxia Medical University General Hospital from January 2020 to March 2021 were randomly divided into an intervention group (n=47) and a control group (n=47). The intervention group received nutritional intervention by a clinical nutritionist at 2 hours after anesthesia recovery, and the control group started to eat liquid diet at 6 hours after anesthesia recovery. The protein-calorie intake, blood glucose, total protein, albumin, hemoglobin, postoperative hospitalization time and total hospitalization time of the two groups were observed. Results:The protein-calorie intake of the intervention group was higher than that of the control group on the day of surgery and the first 3 days after surgery, with statistically significant differences (P<0.05). The blood glucose level of the intervention group was lower than that of the control group on the first day after surgery, with statistically significant differences (P<0.05). The total protein level of the intervention group was higher than that of the control group on the third day after surgery, with statistically significant differences (P<0.05). The albumin and hemoglobin levels of the intervention group were higher than those of the control group on the first and third days after surgery, with statistically significant differences (P<0.05). The incidence of abdominal distension and the length of hospital stay in the intervention group were lower than those in the control group, with statistically significant differences (P<0.05). Conclusion:Early postoperative nutritional management has a certain effect on improving nutritional and biochemical indicators and shortening the length of hospital stay in patients undergoing lumbar fusion surgery.

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.

OBJECTIVE: To observe the effect of modified acupuncture at sphenopalatine ganglion for allergic rhinitis (AR). METHODS: A total of 80 patients with AR were randomly divided into an observation group and a control group, 40 cases in each group. In the observation group, modified acupuncture at sphenopalatine ganglion was given, 30 min each time, 2 times a week and with an interval of 3-4 days. In the control group, budesonide nasal spray was given. Both groups were treated for 4 weeks. The total nasal symptom score (TNSS) and total non-nasal symptom score (TNNSS) were observed before treatment, after first treatment, after last treatment and 4 weeks after treatment; the scores of visual analogue scale (VAS) and rhinoconjunctivitis quality of life questionnaire (RQLQ) were observed before treatment, after last treatment and 4 weeks after treatment; the recurrence condition was evaluated 4 weeks after treatment; the clinical efficacy was evaluated after last treatment in the two groups. RESULTS: Compared with before treatment, the total scores and each score of TNSS, TNNSS scores after first treatment, after last treatment and 4 weeks after treatment were decreased in both groups (P<0.01, P<0.05). After first treatment, the total score, stuffy nose score, itchy nose score of TNSS and TNNSS score in the observation group were lower than the control group (P<0.01, P<0.05). After last treatment, the total score, stuffy nose score, itchy nose score of TNSS in the observation group were lower than the control group (P<0.01). Four weeks after treatment, the total score and each score of TNSS, TNNSS score in the observation group were lower than the control group (P<0.01, P<0.05). Compared with before treatment, the scores of VAS and RQLQ after last treatment and 4 weeks after treatment were decreased in both groups (P<0.01), and those in the observation group were lower than the control group (P<0.01). The recurrence rate was 13.5% (5/37) in the observation group, which was lower than 44.8% (13/29) in the control group (P<0.01). The total effective rate was 92.5% (37/40) in the observation group, which was higher than 72.5% (29/40) in the control group (P<0.05). CONCLUSION Modified acupuncture at sphenopalatine ganglion could effectively improve symptoms and quality of life in patients with AR, and the recurrence rate is lower.
Humans ; Quality of Life ; Acupuncture Therapy ; Rhinitis, Allergic/therapy* ; Pain Measurement

Objectives:To investigate the clinical and genetic features of young Chinese patients with myeloproliferative neoplasms (MPN) .Methods:In this cross-sectional study, anonymous questionnaires were distributed to patients with MPN patients nationwide. The respondents were divided into 3 groups based on their age at diagnosis: young (≤40 years) , middle-aged (41-60 years) , and elderly (>60 years) . We compared the clinical and genetic characteristics of three groups of MPN patients.Results:1727 assessable questionnaires were collected. There were 453 (26.2%) young respondents with MPNs, including 274 with essential thrombocythemia (ET) , 80 with polycythemia vera (PV) , and 99 with myelofibrosis. Among the young group, 178 (39.3%) were male, and the median age was 31 (18-40) years. In comparison to middle-aged and elderly respondents, young respondents with MPN were more likely to present with a higher proportion of unmarried status (all P<0.001) , a higher education level (all P<0.001) , less comorbidity (ies) , fewer medications (all P<0.001) , and low-risk stratification (all P<0.001) . Younger respondents experienced headache (ET, P<0.001; PV, P=0.007; MF, P=0.001) at diagnosis, had splenomegaly at diagnosis (PV, P<0.001) , and survey (ET, P=0.052; PV, P=0.063) . Younger respondents had fewer thrombotic events at diagnosis (ET, P<0.001; PV, P=0.011) and during the survey (ET, P<0.001; PV, P=0.003) . JAK2 mutations were found in fewer young people (ET, P<0.001; PV, P<0.001; MF, P=0.013) ; however, CALR mutations were found in more young people (ET, P<0.001; MF, P=0.015) . Furthermore, mutations in non-driver genes (ET, P=0.042; PV, P=0.043; MF, P=0.004) and high-molecular risk mutations (ET, P=0.024; PV, P=0.023; MF, P=0.001) were found in fewer young respondents. Conclusion:Compared with middle-aged and elderly patients, young patients with MPN had unique clinical and genetic characteristics.

Objective To investigate the relationship between the expression of glutathione peroxidase(GPX)genes and the clinical prognosis in glioma patients,and to construct and evaluate the model for predicting the prognosis of glioma. Methods The clinical information and GPX expression of 663 patients,including 153 patients of glioblastoma(GBM)and 510 patients of low-grade glioma(LGG),were obtained from The Cancer Genome Atlas(TCGA)database.The relationship between GPX expression and patient survival was analyzed.The key GPX affecting the prognosis of glioma was screened out by single- and multi-factor Cox's proportional-hazards regression models and validated by least absolute shrinkage and selection operator(Lasso)regression.Finally,we constructed the model for predicting the prognosis of glioma with the screening results and then used concordance index and calibration curve respectively to evaluate the discrimination and calibration of model. Results Compared with those in the control group,the expression levels of GPX1,GPX3,GPX4,GPX7,and GPX8 were up-regulated in glioma patients(all P<0.001).Moreover,the expression levels of other GPX except GPX3 were higher in GBM patients than in LGG patients(all P<0.001).The Kaplan-Meier curves showed that the progression-free survival of GBM with high expression of GPX1(P=0.013)and GPX4(P=0.040),as well as the overall survival,disease-specific survival,and progression-free survival of LGG with high expression of GPX1,GPX7,and GPX8,was shortened(all P<0.001).GPX7 and GPX8 were screened out as the key factors affecting the prognosis of LGG.The results were further used to construct a nomogram model,which suggested GPX7 was the most important variable.The concordance index of the model was 0.843(95%CI=0.809-0.853),and the calibration curve showed that the predicted and actual results had good consistency. Conclusion GPX7 is an independent risk factor affecting the prognosis of LGG,and the nomogram model constructed with it can be used to predict the survival rate of LGG.
Brain Neoplasms ; Glioblastoma ; Glioma/diagnosis* ; Glutathione Peroxidase/metabolism* ; Humans ; Peroxidases ; Prognosis ; Proportional Hazards Models

Objective:To investigate the efficacy and safety of comprehensive therapy in the treatment of advanced unresectable hepatocellular carcinoma.Methods:Clinical data of 34 patients with primary liver cancer admitted to Peking Union Medical College Hospital from Nov 2018 to Dec 2020 initially evaluated as unresectable were treated firstly by combined therapy and then underwent reevaluation for further management.Results:A total of 34 patients completed the integrative treatment, and no serious adverse events occurred. Among them, 6 patients were evaluated as partial remission, and underwent successful tumor resection, tumors in 7 patients were stable, and 21 patients suffered from disease progression.Conclusion:After comprehensive therapy, unresectable tumors in some patients could reduce and be rendered resection.

Blood loss and blood transfusion requirement are important quality control indicators of cardiovascular surgery and cardiovascular anesthesia. Patient blood management (PBM) is an evidence-based, multidisciplinary approach to optimizing the care of patients who may need transfusion, which encompasses anemia management, hemodilution, cell salvage, hemostatic treatment, and other approaches to reducing bleeding and minimizing blood transfusion. PBM in cardiovascular surgery is a "team sport" that involves cardiac and vascular surgeons, anesthesiologists, perfusionist, intensivists, and other health care providers. The current work provides an overview of evidence and practice of PBM at Fuwai Hospital. Implementation of PBM should also take local resource availability and cost-effectiveness of different devices, drugs, technologies, and techniques into consideration.
Humans ; Blood Transfusion/methods* ; Anemia/therapy* ; Hemorrhage ; Hospitals ; Blood Loss, Surgical