[This corrects the article DOI: 10.1016/j.jpha.2023.08.006.].

OBJECTIVE: To construct machine learning prediction model for sepsis-associated encephalopathy (SAE), and analyze the application value of the model on early identification of SAE risk in elderly septic patients. METHODS: Patients aged over 60 years with a primary diagnosis of sepsis admitted to intensive care unit (ICU) from 2008 to 2023 were selected from Medical Information Mart for Intensive Care-IV 2.2 (MIMIC-IV 2.2). Demographic variables, disease severity scores, comorbidities, interventions, laboratory indicators, and hospitalization details were collected. Key factors associated with SAE were identified using univariate Logistic regression analysis. The data were randomly divided into training and validation sets in a 7 : 3 ratio. Multivariable Logistic regression analysis was conducted in the training set and visualized using a nomogram model for prediction of SAE. The discrimination of the model was evaluated in the validation set using the receiver operator characteristic curve (ROC curve), and its calibration was assessed using calibration curve. Furthermore, multiple machine learning algorithms, including multi-layer perceptron (MLP), support vector machine (SVM), naive bayes (NB), gradient boosting machine (GBM), random forest (RF), and extreme gradient boosting (XGB), were constructed in the training set. Their predictive performance was subsequently evaluated on the validation set. Taking the XGB model as an example, the interpretability of the model through the SHapley Additive exPlanations (SHAP) algorithm was enhanced to identify the key predictive factors and their contributions. RESULTS: A total of 2 204 septic patients were finally enrolled, of whom 840 developed SAE (38.1%). A total of 21 variables associated with SAE were screened through univariate Logistic regression analysis. Multivariable Logistic regression analysis showed that endotracheal intubation [odds ratio (OR) = 0.40, 95% confidence interval (95%CI) was 0.19-0.88, P < 0.001], oxygen therapy (OR = 0.76, 95%CI was 0.53-0.95, P = 0.023), tracheotomy (OR = 0.20, 95%CI was 0.07-0.53, P < 0.001), continuous renal replacement therapy (CRRT; OR = 0.32, 95%CI was 0.15-0.70, P < 0.001), cerebrovascular disease (OR = 0.31, 95%CI was 0.16-0.60, P < 0.001), rheumatic disease (OR = 0.44, 95%CI was 0.19-0.99, P < 0.001), male (OR = 0.68, 95%CI was 0.54-0.86, P = 0.001), and maximum anion gap (AG; OR = 0.95, 95%CI was 0.93-0.97, P < 0.001) were associated with an decreased probability of SAE, and age (OR = 1.05, 95%CI was 1.03-1.06, P < 0.001), acute physiology score III (APSIII; OR = 1.02, 95%CI was 1.01-1.02, P < 0.001), Oxford acute severity of illness score (OASIS; OR = 1.04, 95%CI was 1.03-1.06, P < 0.001), and length of hospital stay (OR = 1.01, 95%CI was 1.01-1.02, P < 0.001) were associated with an increased probability of SAE. A nomogram model was constructed based on these variables. In the validation set, ROC curve analysis showed that the model achieved an area under the ROC curve (AUC) of 0.723, and the calibration curve showed good consistency between the predicted probability of the model and the observed probability. Among the machine learning algorithms, including MLP, SVM, NB, GBM, RF, and XGB, the SVM model and RF model demonstrated relatively good predictive performance, with AUC of 0.748 and 0.739, respectively, and the sensitivity was both exceeding 85%. The predictive performance of the XGB model was explained through SHAP analysis, and the results indicated that APSIII score (SHAP value was 0.871), age (SHAP value was 0.521), and OASIS score (SHAP value was 0.443) were important factors affecting the predictive performance of the model. CONCLUSIONS The machine learning-based SAE prediction model exhibits good predictive capability and holds significant application value for the early identification of SAE risk in elderly septic patients.
Humans ; Machine Learning ; Aged ; Sepsis-Associated Encephalopathy ; Sepsis/complications* ; Intensive Care Units ; Logistic Models ; Middle Aged ; Male ; ROC Curve ; Female ; Bayes Theorem ; Nomograms ; Support Vector Machine ; Algorithms

Workplace psychosocial hazards may be related to job content or work schedule, specific characteristics of the workplace or opportunities for career development. They can lead to significant losses and harm to workplace relationships, labor participation, productivity and quality within the workplace. This article introduces the definition, types and occupational hazards of workplace psychosocial hazards, as well as the theoretical source, main features and update of the version of the assessment tool Copenhagen Psychosocial Questionnaire, and provides suggestions for the assessment, monitoring, and future scientific research on workplace psychosocial hazards in China.

Objective:To evaluate the efficacy and safety of brentuximab vedotin (BV) combined with rituximab and attenuated chemotherapy in the treatment of children with classic Hodgkin lymphoma (cHL).Methods:A prospective, non-randomized, risk-assigned study. Clinical data (including age, gender, B symptoms, bulky disease, CD30 and Epstein-Barr virus-encoded RNA(EBER) expression, clinical stage, risk stratification, etc.) of 28 intermediate to high-risk cHL children diagnosed and treated at Beijing Children′s Hospital Affiliated to Capital Medical University from October 2022 to May 2024 were collected. Immuno-targeted combined with attenuated chemotherapy was administered based on risk stratification and early treatment response. The patients were followed up until May 1st, 2024. The infusion reactions and adverse reactions after treatment were recorded.Results:In all 28 patients, there were 22 males and 6 females, the age was 12 (5,16) years, 16 cases (57%) presented with bulky disease and 10 cases (36%) with B symptoms. The most common pathological type was nodular sclerosis (14 cases, 50%). There were 7 cases of stage Ⅱ, 14 cases of stage Ⅲ and 7 cases of stage Ⅳ according to the Ann Arbor staging system. There were 5 cases in the intermediate-risk group and 23 cases in the high-risk group. EBER was positive in 20 cases (71%) and negative in 6 cases (21%), and CD30 antigen was expressed in tumor cells of all enrolled children. Treatment duration: 5 cases (18%) received 4 courses of treatment, 21 cases (75%) received 6 courses of treatment, and 2 cases (7%) received 8 courses of treatment, 25 cases (89%) achieved complete metabolism response (CMR) through early assessment after 2 courses of chemotherapy. The CMR rates were 100% in intermediate-risk group and 87% (20/23) in high-risk group, respectively. Four patients (14%) finally received residual field radiotherapy. Toxicities included grade Ⅰ-Ⅱ myelosuppression, early infusion reaction and mild peripheral neuropathy, only one case of grade 3 adverse events was recorded and did not affect sequential treatment. At the end of treatment and 3 months of follow-up, the levels of IgA, IgG and IgM were all decreased compared with the baseline before chemotherapy, and the total B cell count began to be lower than the level before chemotherapy at the early stage of treatment (after 2 courses). The total B cell count monitored during treatment was 50 (0, 101)×10 6/L and was 12 (0, 25)×10 6/L at the end of treatment. The follow-up time was 6 (3, 13) months, all 28 children had event-free survival and all achieved complete remission. At 6 and 9 months of follow-up, IgA, IgG, IgM and total B cell counts returned to pre-chemotherapy baseline levels, respectively. Conclusion:BV combined with rituximab attenuated chemotherapy has demonstrated efficacy and a tolerable safety profile in the treatment of cHL in children, and significantly reduce radiation rate.

Objective To investigate the effect of sperm-associated antigen 6(Spag6)on cerebral edema secondary to ische-mia-reperfusion in rats.Methods Ninety SD rats were randomly assigned to three groups:sham operation group,model group,and experimental group.The rats were treated with lentivirus injection and middle cerebral artery embolization.The infarct vol-ume was evaluated by using 2,3,5-triphenyltetrazolium chloride(TTC)staining.Hematoxylin and eosin(HE)staining was used to observe the damage of ependymal cells and cilia.Scanning electron microscope was used to observe the activity of motile cili-a.Transmission electron microscopy was used to abserve the ultrastructure of nerve cells.The expressions of apoptosis-related proteins Bcl-2,Bax,Survivin,GluN1,GluN2B,and GluA2 were detected using Western blotting.Results After model construc-tion,nerve cells and tissues in different regions of the rat brain were damaged.Spag6 expression,synaptic structure and function were altered.The activity of motor cilia in the third ventricle was disturbed and ischemic cerebral edema was observed.After up-regulation of Spag6 expression,cerebral edema was relieved and the activity of motor cilia was restored.Ischemic cerebral infarc-tion,nerve cell injury and synaptic structural abnormalities were reversed.The protein expression of Bcl-2,Survivin,GluN1,GluN2B,and GluA2 increased significantly(P＜0.01 or P＜0.05),while the expression of Bax decreased(P＜0.01).Conclusion Spag6 enhances synaptic function by restoring the active state of ventricular motor cilia,thereby alleviating ischemic brain edema mediated nerve damage.

ObjectiveTo study whether Chaihu Longgu Mulitang can inhibit hypothalamic inflammation， mitigate anxiety-like behavior， and alleviate anxiety symptoms by regulating the p38 mitogen-activated protein kinase/nuclear factor-κB （p38 MAPK/NF-κB） signaling pathway in the rat model of generalized anxiety disorder （GAD）. MethodTwelve out of 74 Wistar rats were randomly selected as the blank group， and the remaining rats were subjected to chronic restraint stress for the modeling of GAD. The open field test （OFT） and elevated Porteus maze test （PMT） were conducted 14 days after modeling to detect the anxiety-like behaviors. Sixty successfully modeled rats were selected and randomized into model， low-， medium-， and high-dose （6， 12， and 24 g·kg^-1， respectively） Chaihu Longgu Mulitang， and diazepam （1 mg·kg^-1） groups （n=12） and administrated with corresponding drugs for 14 consecutive days. OFT and PMT were then carried out to examine the anxiety-like behaviors of the rats. The levels of tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β） in the hypothalamus and serum of rats were determined by the enzyme-linked immunosorbent assay （ELISA）. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）was conducted to determine the mRNA levels of p38 MAPK， NF-κB p65， nuclear factor κB inhibitor α （IκBα）， and ionized calcium binding adaptor molecule 1 （Iba-1）. The protein levels of p38 MAPK， phosphorylated （p）-p38 MAPK， NF-κB p65， p-NF-κB p65， and IκBα in the hypothalamus of rats were determined by Western blot. The expression of Iba-1 in the hypothalamic microglia was detected by immunofluorescence assay. ResultCompared with the blank group， the model group had decreased body weight， scattered dark yellow fur， increased irritability， and preference to hibernation in the corner. In addition， the modeled rats showed increased edge movement distance and time in OFT （P<0.01） and decreased movement distance and time and the number of entries in the open arm in PMT （P<0.01）. The modeling increased the fluorescence intensity of Iba-1 in paraventricular nucleus of hypothalamus （P<0.01）， elevated the levels of IL-1β， IL-6， and TNF-α in the serum and hypothalamus （P<0.01）， up-regulated the protein and mRNA levels of p38 MAPK， NF-κB p65， p-p38 MAPK， p-NF-κB p65， and Iba-1 （P<0.05， P<0.01）， and down-regulated the protein and mRNA levels of IκBα （P<0.01） in the hypothalamus. Compared with the model group， medium- and high-dose Chaihu Longgu Mulitang and diazepam increased the body weight， improved the fur and behaviors， decreased the edge movement distance and time in OFT （P<0.05， P<0.01）， and increased the movement distance and time in the open arm in PMT （P<0.05， P<0.01）. Furthermore， they decreased the fluorescence intensity of Iba-1 in hypothalamic microglia （P<0.05， P<0.01）， lowered the levels of IL-1β， IL-6， and TNF-α in the serum and hypothalamic tissue （P<0.05， P<0.01）， down-regulated the mRNA and protein levels of p38 MAPK， NF-κB p65， p-p38 MAPK， p-NF-κB p65， and Iba-1 （P<0.05， P<0.01）， and up-regulated the mRNA and protein levels of IκBα （P<0.05， P<0.01） in the hypothalamus. ConclusionChaihu Longgu Mulitang can mitigate anxiety-like behaviors and relieve anxiety in GAD rats by inhibiting the p38 MAPK/NF-κB signaling pathway and reducing the activation of microglia and the levels of pro-inflammatory cytokines in the hypothalamus.

Objective:Abnormal immune system activation and inflammation are crucial in causing Parkinson's disease.However,we still don't fully understand how certain immune-related genes contribute to the disease's development and progression.This study aims to screen key immune-related gene in Parkinson's disease based on weighted gene co-expression network analysis(WGCNA)and machine learning. Methods:This study downloaded the gene chip data from the Gene Expression Omnibus(GEO)database,and used WGCNA to screen out important gene modules related to Parkinson's disease.Genes from important modules were exported and a Venn diagram of important Parkinson's disease-related genes and immune-related genes was drawn to screen out immune related genes of Parkinson's disease.Gene ontology(GO)analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)were used to analyze the the functions of immune-related genes and signaling pathways involved.Immune cell infiltration analysis was performed using the CIBERSORT package of R language.Using bioinformatics method and 3 machine learning methods[least absolute shrinkage and selection operator(LASSO)regression,random forest(RF),and support vector machine(SVM)],the immune-related genes of Parkinson's disease were further screened.A Venn diagram of differentially expressed genes screened using the 4 methods was drawn with the intersection gene being hub nodes(hub)gene.The downstream proteins of the Parkinson's disease hub gene was identified through the STRING database and a protein-protein interaction network diagram was drawn. Results:A total of 218 immune genes related to Parkinson's disease were identified,including 45 upregulated genes and 50 downregulated genes.Enrichment analysis showed that the 218 genes were mainly enriched in immune system response to foreign substances and viral infection pathways.The results of immune infiltration analysis showed that the infiltration percentages of CD4+ T cells,NK cells,CD8+ T cells,and B cells were higher in the samples of Parkinson's disease patients,while resting NK cells and resting CD4+ T cells were significantly infiltrated in the samples of Parkinson's disease patients.ANK1 was screened out as the hub gene.The analysis of the protein-protein interaction network showed that the ANK1 translated and expressed 11 proteins which mainly participated in functions such as signal transduction,iron homeostasis regulation,and immune system activation. Conclusion:This study identifies the Parkinson's disease immune-related key gene ANK1 via WGCNA and machine learning methods,suggesting its potential as a candidate therapeutic target for Parkinson's disease.

Organoids are in vitro three-dimensional(3D)multicellular cultures that are generated through deploying the self-renewal and self-organizing capacities of stem cells.They recapitulate key structural and functional features of corresponding organs or tissues,providing an ideal in vitro model and research platform for the study of developmental biology,regenerative medicine,disease modeling and drug development.The conventional organoid culture system mainly relies on manual operations with lengthy and complicated procedures,which generate organoid cultures of individual variations and batch differences,limiting their translational applications.Therefore,to engineer the organoid culture system by introducing microfluidic chip technology to enhance the throughput and automation level,is of great significance for achieving large-scale,homogeneous,and standardized organoid cultures.This article reviews the current research progress of high-throughput and automated organoid chips and discusses the main limitations and potential challenges for the future study.