OBJECTIVE To construct a predictive model for evaluating the efficacy of a triple antiemetic regimen （neurokinin- 1 receptor antagonist+5-hydroxytryptamine 3 receptor antagonist+dexamethasone） for preventing nausea and vomiting induced by highly emetogenic chemotherapy （HEC） based on interpretable deep learning algorithms. METHODS Clinical data of cancer patients who received HEC and were treated with the standard triple antiemetic regimen in the oncology department of Tianjin Medical University General Hospital from January 2018 to December 2022 were collected retrospectively. Demographic， clinical and metabolism-related variables were integrated. After data pre-processing， two deep learning algorithms （deep random forest and dense neural network） and four machine learning algorithms （support vector machine， categorical boosting， random forest and decision tree） were used to build predictive models. Subsequently， model performance evaluation and model interpretability analysis were conducted. RESULTS Among the six candidate models， the deep random forest model demonstrated the best predictive performance on the test set， with an area under the receiver operating characteristic curve of 0.850， an accuracy of 0.911， a precision of 0.805， a recall of 0.783， an F1 score of 0.793， and a Brier score of 0.075. Interpretability analysis revealed that creatinine clearance rate （Ccr） was the key predictive factor， and low Ccr levels， female gender， younger age， highly emetogenic drugs （particularly cisplatin-containing chemotherapy regimens）， and anticipatory nausea and vomiting were positively correlated with the risk of HEC-related nausea and vomiting. CONCLUSIONS The deep random forest model exhibits the best performance in predicting the efficacy of triple antiemetic regimen for preventing HEC-related nausea and vomiting. The key predictors in this model primarily include Ccr，anticipatory nausea and vomiting， gender， age， and highly emetogenic drugs.

Objective: To analyze the temporal variation patterns of sickness absenteeism among primary and secondary school students in Shanghai, so as to explore models suitable for predicting peaks and intensity of absenteeism rates. Methods: The seasonal and trend decomposition using loess (STL) method was used to analyze the seasonal and long term trend changes in sickness absenteeism among primary and secondary school students from September 1 in 2010 to June 30 in 2018, in Shanghai. A hierarchical clustering method based on Dynamic Time Warping (DTW) was employed to classify absenteeism symptoms with similar temporal patterns. Based on historical data, the study constructed and evaluated different time series algorithms and machine learning models to optimize the accuracy of predicting the trend of sickness absenteeism. Results: During the research period, the average new absenteeism rate due to illness was 16.86 per 10 000 person day for every academic year, and the trend of sickness absenteeism exhibited both seasonality and a long term upward trend, reaching its highest point in the 2017 academic year (22.47 per 10 000 person day). The symptoms of absenteeism were divided into three categories: high incidence in winter and spring (respiratory symptoms, fever and general discomfort, etc.), high incidence in summer (eye symptoms, nosebleeds, etc.) and those without obvious seasonality (skin symptoms, accidental injuries, etc.).The constructed time series models effectively predicted the trend of absenteeism due to illness, although the accuracy of predicting peak intensity was relatively low. Among them, the multi layer perceptron (MLP) model performed the best, with an root mean squared error (RMSE) of 8.96 and an mean absolute error (MAE) of 4.37, reducing 36.51% and 39.02% compared to the baseline model. Conclusion Time series models and machine learning algorithms could effectively predict the trend of sickness absenteeism, and corresponding prevention and control measures can be taken for absenteeism caused by different symptoms during peak periods.

OBJECTIVE: Exposure to polycyclic aromatic hydrocarbons (PAHs) or metal(loid)s individually has been associated with neural tube defects (NTDs). However, the impacts of PAH and metal(loid) co-exposure and potential interaction effects on NTD risk remain unclear. We conducted a case-control study in China among population with a high prevalence of NTDs to investigate the combined effects of PAH and metal(loid) exposures on the risk of NTD. METHODS: Cases included 80 women who gave birth to offspring with NTDs, whereas controls were 50 women who delivered infants with no congenital malformations. We analyzed the levels of placental PAHs using gas chromatography and mass spectrometry, PAH-DNA adducts with ³²P-post-labeling method, and metal(loid)s with an inductively coupled plasma mass spectrometer. Unconditional logistic regression was employed to estimate the associations between individual exposures and NTDs. Least absolute shrinkage and selection operator (LASSO) penalized regression models were used to select a subset of exposures, while additive interaction models were used to identify interaction effects. RESULTS: In the single-exposure models, we found that eight PAHs, PAH-DNA adducts, and 28 metal(loid)s were associated with NTDs. Pyrene, selenium, molybdenum, cadmium, uranium, and rubidium were selected through LASSO regression and were statistically associated with NTDs in the multiple-exposure models. Women with high levels of pyrene and molybdenum or pyrene and selenium exhibited significantly increased risk of having offspring with NTDs, indicating that these combinations may have synergistic effects on the risk of NTDs. CONCLUSION Our findings suggest that individual PAHs and metal(loid)s, as well as their interactions, may be associated with the risk of NTDs, which warrants further investigation.
Humans ; Neural Tube Defects/chemically induced* ; Polycyclic Aromatic Hydrocarbons/adverse effects* ; Female ; Case-Control Studies ; China/epidemiology* ; Adult ; Pregnancy ; Environmental Pollutants ; Maternal Exposure/adverse effects* ; Metals/toxicity* ; Young Adult ; Risk Factors

Protein arginine methyltransferase 5 (PRMT5) acts as an oncogene in liver cancer, yet its roles and in-depth molecular mechanisms within the liver cancer immune microenvironment remain mostly undefined. Here, we demonstrated that disruption of tumor-intrinsic PRMT5 enhances CD8⁺ T-cell-mediated antitumor immunity both in vivo and in vitro. Further experiments verified that this effect is achieved through downregulation of the inhibitory immune checkpoint molecule, fibrinogen-like protein 1 (FGL1). Mechanistically, PRMT5 catalyzed symmetric dimethylation of transcription factor 12 (TCF12) at arginine 554 (R554), prompting the binding of TCF12 to FGL1 promoter region, which transcriptionally activated FGL1 in tumor cells. Methylation deficiency at TCF12-R554 residue downregulated FGL1 expression, which promoted CD8⁺ T-cell-mediated antitumor immunity. Notably, combining the PRMT5 methyltransferase inhibitor GSK591 with PD-L1 blockade efficiently inhibited liver cancer growth and improved overall survival in mice. Collectively, our findings reveal the immunosuppressive role and mechanism of PRMT5 in liver cancer and highlight that targeting PRMT5 could boost checkpoint immunotherapy efficacy.

Objective:To investigate the effectiveness of predictive nursing based on root cause analysis in patients undergoing cesarean section.Methods:A convenience sampling method was used to select 180 women who underwent cesarean section under combined spinal-epidural anesthesia in the Affiliated Hospital of Jining Medical University from September 2021 to October 2022. According to the random number table method, they were divided into a control group ( n=90) and an observation group ( n=90). The control group received routine nursing care, while the observation group received predictive nursing based on root cause analysis. Compared the pain intensity at 24 hours after cesarean section and the incidence of postoperative complications between the two groups of parturients. Results:The Visual Analog Scale scores at 24 hours post-cesarean section and the overall incidence of postoperative complications were lower in the observation group than those in the control group, and the differences were statistically significant ( P<0.05) . Conclusions:Predictive nursing based on root cause analysis can effectively relieve postoperative pain and reduce the incidence of complications in patients undergoing cesarean section with combined spinal-epidural anesthesia.

Objective The relationship between blood pressure variability(BPV)and short-term neurological prognosis in patients with aneurysmal subarachnoid hemorrhage(aSAH)was investigated.Methods The study conducted a retrospective analysis of clinical data from aSAH patients who underwent surgical treatment and were admitted to the ICU at Beijing Tiantan Hospital,Capital Medical University,from January 2023 to April 2024.BPV was quantitively assessed by calculating the standard deviation(SD),successive variation(SV),coefficient of variation(CV),and range of mean blood pressure(MBP).Patients were divided into two group based on discharge GOS scores:good prognosis[Glasgow Outcome Scale(GOS)4-5]and poor prognosis(GOS 1-3)groups.Comparative analyses were performed to evaluate differences in BPV metrics between the two groups,followed by multivariable logistic regression modeling to adjust for potential confounding factors and elucidate the association between BPV and clinical prognosis.Results A total of 150 patients were included,with 59 in the poor prognosis group and 91 in the good prognosis group.The poor prognosis group exhibited significantly elevated levels of MBP-SD[(9.85±3.20)mmHg vs.(8.04±2.31)mmHg,P<0.001],MBP-SV[(10.37±3.85)mmHg vs.(8.07±2.33)mmHg,P<0.001],MBP-CV(10.00±3.30%vs.8.19±2.33%,P<0.001),and MBP-range[(39.60±13.56)mmHg vs.(32.44±9.78)mmHg,P<0.05]compared to the good prognosis group.Cohen’s d values indicated moderate effect sizes for BPV differences(0.65,0.72,0.63,and 0.61,respectively).Multivariable logistic regression showed that MBP-SD(OR=1.22,95%CI:1.08-1.39,P=0.002)and MBP-SV(OR=1.19,95%CI:1.05-1.35,P=0.007)were independently associated with poor prognosis.Conclusion Elevated MBP-SD and MBP-SV within the first 24 hours postoperative period are independent predictors of unfavorable short-term neurological outcomes in aSAH patients.

Objective:To investigate the application of blended team-based learning (BTBL) in improving the clinical reasoning ability of general practitioners from different sources.Methods:From September to December in 2021, 52 postgraduates of general practice in Tongji University School of Medicine were selected as subjects, and according to their study background and practice experience, they were divided into residency training group, community group, and specialist group. BTBL was adopted for all students in the course of clinical reasoning in general practice, and a 4-station objective structured clinical examination (OSCE) test was conducted before and after the course to evaluate teaching effectiveness from the aspects of medical history collection, physical examination, doctor-patient communication, and medical record writing. SPSS 22.0 was used to perform a statistical analysis of data. Continuous data were expressed as mean±standard deviation, and an analysis of variance or the Kruskal-Wallis test was used for comparison between groups; the paired samples t-test or the Wilcoxon signed rank sum test was used for comparison of normally distributed or non-normally distributed data within each group. Categorical data were expressed as frequency and percentage. Results:There was a significant change in the score of physical examination after the course in the community group (44.88±9.17 vs. 78.06±12.11, t=-12.49, P<0.001), the specialist group (45.85±8.18 vs. 68.65±13.10, t=-6.43, P<0.001), and the residency training group (42.38±15.30 vs. 76.44±16.46, t=-5.98, P<0.001). There was a significant change in the score of doctor-patient communication after the course in the community group (63.00±13.84 vs. 78.69±7.10, t/Z=-4.33, P<0.05) and the residency training group (60.00±15.50 vs. 70.88±6.44, t/Z=-2.12, P<0.05). There was also a significant change in the score of medical record writing after the course in the community group (60.19±17.96 vs. 79.69±14.25, t=-2.96, P<0.05), the specialist group (47.77±12.59 vs. 80.31±12.93, t=-6.26, P<0.05), and the residency training group (37.00±15.50 vs. 75.88±15.88, t=-7.25, P<0.05). The score of medical record writing before the course was 60.19±17.96 in the community group, 47.77±12.59 in the specialist group, and 37.00±15.50 in the residency training group, with a significant difference between the three groups ( χ2=13.04, P=0.001); after the course, the score of medical record writing was 78.69±7.10 in the community group, 63.46±19.40 in the specialist group, and 70.88±6.44 in the residency training group, with a significant difference between the three groups ( χ2=10.13, P=0.006). Conclusions:In the course of clinical reasoning in general practice, BTBL can improve teaching efficiency, save teaching resources, and play the role of promoting strengths and avoiding weaknesses.

Objective:To review the diagnosis, treatment and quality of life of patients with primary immune thrombocytopenia (ITP) in seven medical centers in some areas of Hubei Province.Methods:A retrospective analysis was conducted on age, disease course, symptoms, diagnosis, and treatment status (including testing items, drug selection, and adverse reactions) of patients with ITP in seven medical centers in Hubei Province from January 2020 to December 2022. An online survey was conducted on the quality of life of patients using the ITP Patient Assessment Questionnaire (ITP-PAQ) .Results:Among the 1033 patients, those with newly diagnosed, persistent, and chronic ITP accounted for 39.8%, 19.1%, and 41.1%, respectively. Most patients exhibit varying degrees of bleeding. Regarding treatment, corticosteroids and thrombopoietin drugs are the most commonly chosen treatment drugs for ITP, and the adverse reactions to treatment mainly include diarrhea, liver dysfunction, and thrombosis. The ITP-PAQ survey of 125 patients revealed that ITP significantly impairs their life quality. Patients with ITP scored significantly lower in fatigue, sleep, fear, exercise, work, and social aspects.Conclusion:A relatively high proportion of patients with ITP progressed to the chronic phase. Corticosteroids and thrombopoietin drugs are the two main treatment drugs for ITP patients. The quality of life of patients with ITP is significantly reduced in multiple dimensions.

Objective:To analyze the current research hotspots and trends of traditional Chinese medicine (TCM) treatment for neurogenic bladder (NB).Methods:The Chinese and English articles on TCM treatment of neurogenic bladder were searched in CNKI, Wanfang Database, PubMed, and Web of Science from the inception to May 31, 2024, using the terms "neurogenic bladder" "intervention" "treatment" "clinical" "Chinese medicine" "electroacupuncture" "acupuncture", and "moxibustion". VOSviewer and Citespace bibliometric software were used to analyze the publication trend, authors, research institutions, source journals and keywords of these articles.Results:A total of 776 Chinese articles and 253 English articles on the diagnosis and treatment of NB by traditional Chinese medicine were retrieved, the number of publications was increasing every year. Most Chinese papers came from Shandong University of Traditional Clinese Medicine, and most English papers came from Sun Yat-sen University. Some authors and institutions had formed networks of cooperation. Most papers were published in the journal of Traditional Chineses Medicine Clinical Research (in Chinese) and Neural Regeneration Research (in English). This study generated 244 Chinese core key words with 14 clustering networks, and 233 English core key words with 10 clustering networks. The main symptoms of NB are uroschesis and urinary incontinence. NB are primarily caused by spinal cord injury, diabetes mellitus and stroke. The main treatment methods of TCM for NB are electroacupuncture, acupuncture and percutaneous acupoint electrical stimulation. The research on NB mechanisms focuses on the apoptosis, regeneration and plasticity of spinal neurons, the activation of the bladder autophagy signaling pathway, the expression of proteins related to the contractile function of the forced muscles. Conclusion:The research quantity and quality of traditional Chinese medicine in diagnosis and treatment NB have increased in recent years, and the mechanism and treatment of NB are the research hotspots; however, the extension and depth of researches are limited, and the institutional cooperations are insufficiente.

Objective:To analyze the results of next generation sequencing (NGS) gene testing in liquid-based cytological specimens of lung adenocarcinoma cavity and evaluate the clinical efficacy of epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) treatment.Methods:Liquid based cytological specimens of 222 cases of lung adenocarcinoma with cavity effusion and 201 cases of metastatic lymph node biopsy were collected. Specimens were obtained from the Cytology Laboratory of the Cancer Hospital of the Chinese Academy of Medical Sciences. The collection period was from January 2018 to December 2022. The results of NGS gene detection were compared. The clinical efficacy of 91 patients treated with EGFR-TKI was evaluated, and the survival curve was analyzed by Kaplan-Meier and other statistical methods.Results:The mutation rates of cancer-related genes detected by NGS were 82.0% (182/222) vs 79.1% (159/201), ( P=0.455) in liquid-based cytological specimens and histological specimens of metastatic lymph node biopsy, respectively. However, the mutation rate of EGFR T790M was significantly higher in cavity effusion than in lymph node biopsy specimens [12.2%(27/222)＞3.5%(7/201), P=0.001]. The results of gene mutation were identical in 10 of the 13 cases with cavity effusion and metastatic lymph node biopsy, and the agreement rate of EGFR was 84.6%(11/13). In 3 inconsistent cases, EGFR mutations were detected in 2 cavity effusion cases that were not detected by lymph node biopsy. Results of genetic analysis of fluid-based cytological samples of 91 patients with cavity effusion were evaluated after drug treatment with EGFR-TKI. The mean progression-free survival (PFS) of the patients was 11.4 months (95% CI: 9.9-12.9). The mean PFS of patients harboring EGFR mutation was 12.3 months (95% CI: 10.8-13.9), and the mean PFS of EGFR wild type was 4.1 months (95% CI: 2.1-6.2). Conclusions:The results of NGS gene detection in liquid-based cytological specimens of lung adenocarcinoma patients with cavity effusion show that the PFS time is similar to that of histological specimens after clinical treatment with EGFR-TKI, which proves the reliability of NGS gene detection results in liquid cytological specimens. NGS gene testing appears higher sensitivity in cavity liquid-based samples than in metastatic lymph node samples.