BACKGROUND: Disease-modifying therapies have been approved for the treatment of relapsing multiple sclerosis (RMS). The present study aims to examine the safety of teriflunomide in Chinese patients with RMS. METHODS: This non-randomized, multi-center, 24-week, prospective study enrolled RMS patients with variant (c.421C>A) or wild type ABCG2 who received once-daily oral teriflunomide 14 mg. The primary endpoint was the relationship between ABCG2 polymorphisms and teriflunomide exposure over 24 weeks. Safety was assessed over the 24-week treatment with teriflunomide. RESULTS: Eighty-two patients were assigned to variant ( n  = 42) and wild type groups ( n  = 40), respectively. Geometric mean and geometric standard deviation (SD) of pre-dose concentration (variant, 54.9 [38.0] μg/mL; wild type, 49.1 [32.0] μg/mL) and area under plasma concentration-time curve over a dosing interval (AUC tau ) (variant, 1731.3 [769.0] μg∙h/mL; wild type, 1564.5 [1053.0] μg∙h/mL) values at steady state were approximately similar between the two groups. Safety profile was similar and well tolerated across variant and wild type groups in terms of rates of treatment emergent adverse events (TEAE), treatment-related TEAE, grade ≥3 TEAE, and serious adverse events (AEs). No new specific safety concerns or deaths were reported in the study. CONCLUSION: ABCG2 polymorphisms did not affect the steady-state exposure of teriflunomide, suggesting a similar efficacy and safety profile between variant and wild type RMS patients. REGISTRATION NCT04410965, https://clinicaltrials.gov .
Humans ; Crotonates/adverse effects* ; Toluidines/adverse effects* ; Nitriles ; Hydroxybutyrates ; Female ; Male ; Adult ; ATP Binding Cassette Transporter, Subfamily G, Member 2/genetics* ; Middle Aged ; Multiple Sclerosis, Relapsing-Remitting/genetics* ; Prospective Studies ; Young Adult ; Neoplasm Proteins/genetics* ; East Asian People

Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.

OBJECTIVES: To study the differences in clinical characteristics of term and preterm neonates with necrotizing enterocolitis (NEC) undergoing surgical treatment. METHODS: A retrospective analysis was conducted on the clinical data of 142 NEC neonates who underwent surgery at the Children's Hospital of Chongqing Medical University from June 2017 to August 2023. The neonates were categorized into a preterm group (gestational age <37 weeks; 95 cases) and a term group (gestational age 37-42 weeks; 47 cases) to compare clinical characteristics. RESULTS: The preterm group had a higher postnatal age at both diagnosis and surgery compared to the term group (P<0.05). The preterm group also had a higher incidence of preoperative bloody stools, lower preoperative platelet counts, and higher rates of preoperative respiratory distress, apnea, reduced/absent bowel sounds, and mechanical ventilation compared to the term group (P<0.05). Postoperatively, the preterm group had higher rates of purulent meningitis, sepsis, and coagulation dysfunction, lower postoperative platelet counts, and lower intraoperative minimum body temperature than the term group (P<0.05). CONCLUSIONS There are significant differences in the clinical characteristics of preterm and term neonates with NEC undergoing surgery, suggesting the need for tailored perioperative management strategies based on these characteristics.
Humans ; Enterocolitis, Necrotizing/surgery* ; Infant, Newborn ; Retrospective Studies ; Male ; Female ; Infant, Premature ; Gestational Age

OBJECTIVE: This study aimed to reexplore minimum iodine excretion and to build a dietary iodine recommendation for Chinese adults using the obligatory iodine loss hypothesis. METHODS: Data from 171 Chinese adults (19-21 years old) were collected and analyzed based on three balance studies in Shenzhen, Yinchuan, and Changzhi. The single exponential equation was accordingly used to simulate the trajectory of 24 h urinary iodine excretion as the low iodine experimental diets offered (iodine intake: 11-26 μg/day) and to further deduce the dietary reference intakes (DRIs) for iodine, including estimated average requirement (EAR) and recommended nutrient intake (RNI). RESULTS: The minimum iodine excretion was estimated as 57, 58, and 51 μg/day in three balance studies, respectively. Moreover, it was further suggested as 57, 58, and 51 μg/day for iodine EAR, and 80, 81, and 71 μg/day for iodine RNI or expressed as 1.42, 1.41, and 1.20 μg/(day·kg) of body weight. CONCLUSION The iodine DRIs for Chinese adults were established based on the obligatory iodine loss hypothesis, which provides scientific support for the amendment of nutrient requirements.
Humans ; Iodine/administration & dosage* ; Male ; Female ; China ; Young Adult ; Diet ; Adult ; Nutritional Requirements ; East Asian People

Objective To search for new biomarkers to predict prognosis in colorectal cancer (CRC) patients.Methods A prognostic model was developed for colorectal cancer with immune-related genes from the cancer ge-nome atlas (TCGA) database using one-way Cox regression analysis and least absolute shrinkage and selection op-erator (LASSO) regression analysis.Moreover, the immune infiltration characteristics of patients in high and low risk groups was compared by sstimation of stromal and immune cells in malignant tumor tissues using expression da-ta (ESTIMATE) and cell-type identification by estimating relative subsets of RNA transcripts (CIBERSORT) .In addition, the expression levels of immune checkpoints were analyzed in patients from different risk groups.The sen-sitivity of patients in the two risk groups to chemotherapeutic agents was also compared based on genomics of drug sensitivity in cancer (GDSC).Results It was found that the prognostic model constructed based on immune genes could better predict the overall survival (OS) of CRC patients,and the results showed area under curve (AUC) values of 0.764 (95％ CI:0.751-0.793), 0.773 (95％ CI:0.761 -0.779), and 0.760 (95％ CI:0.742 -0.774) for 1-, 3-, and 5-year OS, respectively.Patients in the low-risk group had higher expression levels of im-mune checkpoints and more abundant immune cells such as T cells (P<0.001) , dendritic cells (P<0.001) , macrophages (P<0.001) , neutrophils (P<0.001) .Patients in the high-risk group might be more sensitive to some chemotherapeutic agents such as axitinib, imatinib, methotrexate, pazopanib, rapamycin, sunitinib and tasig-arnib.Conclusion A prognostic model based on 19 immune genes was effective in predicting the prognosis of CRC patients.The number and activity of immune cells in the immune microenvironment in different patients may be an important factor influencing their response to immunocheck inhibitors and chemotherapeutic agents.

The management of surplus drugs is an important part of drug administration. At present, China′s medical institutions are in the initial exploration stage in managing surplus drugs.This study analyzed the causes, safety hazards, management policies, and management problems of surplus drugs in medical institutions, and proposed targeted countermeasures and suggestions, including establishing unified and standardized management methods, consensus or guidelines, optimizing internal management of medical institutions, improving the management awareness of medical staff, and clarifying the benefits of surplus drugs, so as to provide references for medical institutions to manage surplus drugs reasonably.

To standardize the management of surplus drugs, improve the efficiency of medical resource utilization, promote the rational use of medical insurance funds, and reduce the financial burden on patients, a large tertiary hospital implemented a practice for managing surplus drugs starting in May 2023. This practice encompassed multiple aspects, including the establishment of organizational structure, clarification of responsibilities, formulation of billing for fractional doses and a reasonable surplus drugs list, establishment of standardized management processes, and allocation of special funds for surplus drugs. These efforts had initially achieved effective management of surplus drugs. As of November 2023, the management of surplus drugs had benefited 136 908 patients, with an average savings of 873.61 yuan per patient and a cumulative savings of approximately 34.7 million yuan in medical insurance funds. This practice had effectively reduced the wastage of medical resources, and could provide references for promoting standardized management of surplus drugs in medical institutions of China. In the future, the hospital should further expand the coverage of surplus drugs, ensure patients′ rights to informed consent, and establish a comprehensive performance incentive mechanism to promote the sustainable development of surplus drug management.

Objective:To analyze the clinical outcomes of initial radioactive iodine 131I therapy (RIT) for patients with familial differentiated thyroid cancer (FDTC) and sporadic differentiated thyroid cancer (SDTC), along with their influencing factors. Methods:The clinical data of 120 FDTC and 480 SDTC patients who received RIT at the Department of Nuclear Medicine, Tianjin Medical University General Hospital from January 2016 to January 2022 were retrospectively analyzed. These patients, categorized into the FDTC and SDTC groups, were further divided into three subgroups based on their response to initial RIT: no evidence of disease (NED), biochemical persistence of disease (BPD), or structural/functional persistence of disease (S/FPD). For the NED subgroup, the disease-free survival (DFS) was analyzed. For the BPD and S/FPD subgroups, the progression-free survival (PFS) was investigated. Furthermore, risk factors for failure to reach the NED status were identified.Results:After initial RIT, 56 (46.7%), 50 (41.7%), 14 (11.6%) patients in the FDTC group reached the NED, BPD, and S/FPD statuses, respectively, while 284 (59.1%), 160 (33.3%), 36 (7.5%) and SDTC patients in the SDTC group were in the NED, BPD, and S/FPD statuses, respectively ( χ2 = 10.10, P = 0.013). The last follow-up revealed that 71 (59.1%), 36 (30.1%), 13 (10.8%) patients in the FDTC group were in the NED, BPD and S/FPD statuses, respectively, while 337 (70.2%), 114 (23.7%), 29 (6.1%) patients in the SDTC group reached the NED, BPD and S/FPD statuses, respectively ( χ2 = 8.99, P = 0.026). The F-NED and S-NED subgroups exhibited 5-year DFS rates of 92.4% and 97.4%, respectively, the F-BPD and S-BPD subgroups displayed 5-year PFS rates of 88.3% and 90.8%, respectively, while the F-S/FPD and S-S/FPD subgroups yielded in 5-year PFS rates of 78.2% and 79.6%, respectively. Univariate binary logistic regression analysis indicated that the maximum diameter of tumors, T stage, M stage, recurrence risk stratification, and postoperative stimulated thyroglobulin (p-sTg) were correlated with the achievement of the NED status ( χ2=6.37-13.10, P < 0.05). Multivariable binary logistic regression analysis showed that T stage and p-sTg were independent risk factors in the achievement of the NED status ( χ2=0.11-11.33, P < 0.05). Conclusions:The response to initial RIT assists in guiding the development of subsequent treatment and follow-up strategies for DTC patients. Given that the SDTC patients exhibited better outcomes than the FDTC patients, more alertness should be paid to the RIT for FDTC patients. For patients with higher p-sTg and T stage, the initial RIT dose and follow-up interval should be increased and reduced respectively as appropriate.

The rehabilitation compliance of stroke patients is generally low.Evaluating the rehabilitation motivation of patients is helpful to promote the rehabilitation management of patients,enhance the rehabilitation enthusiasm and compliance of patients,and improve the rehabilitation outcome.This paper reviews the existing stroke patients rehabilitation motivation assessment tools,and expounds the main contents,application status,characteristics and limitations of stroke patients rehabilitation motivation assessment tools,in order to provide references for the appropriate selection of clinical assessment tools,the rehabilitation management of stroke patients and the development of domestic localized stroke rehabilitation motivation assessment tools.

Objective:To investigate the mechanism of benzyl isothiocyanate(BITC) in the treatment of anaplastic thyroid cancer(ATC).Methods:Using network pharmacological analysis, key targets of BITC and ATC were screened, followed by GO and KEGG enrichment analysis. In order to validate the findings, AutoDock software was used to dock BITC and ATC key targets. BITC was applied to two ATC cell lines(8505C and CAL-62). Flow cytometry was used to analyze cell apoptosis. Autophagy inhibitors hydroxychloroquine sulfate(HCQ) and 3-methyladenine(3MA) were used in combination with BITC. Real-time quantitative PCR was conducted to detect the gene level of LC3B, while Western blotting was utilized to examine the expression of NF-κB, LC3B Ⅱ, Beclin-1, and Bcl-2. In animal experiments, a mouse tumor model was constructed using CAL-62 cells, treated with intraperitoneal injections of BITC(100 mg/kg) and normal saline respectively, administered every other day for a total of 21 days. Immunoblotting of tumor tissue was performed to detect the expression of LC3B Ⅱ, Bcl-2, Beclin-1, and NF-κB.Results:A total of 10 key targets with binding energies≤-4.0 kcal/mol were identified. KEGG analysis showed that these genes are mainly involved in NF-κB signaling pathway and apoptosis. BITC inhibited ATC cells with IC50 values of 27.56 μmol/L for 8505C and 28.30 μmol/L for CAL-62. The expression levels of NF-κB, Beclin-1, and Bcl-2 decreased, while LC3B Ⅱ and LC3B gene expression increased. Combining 3MA with BITC enhanced cell inhibition LC3B Ⅱ expression. HCQ increased LC3B Ⅱ expression without enhancing cell and viability inhibition. In the mouse tumor model, compared to the control group, the treatment group had higher LC3B Ⅱ and lower Bcl-2, Beclin-1, and NF-κB levels.Conclusion:BITC could inhibit the growth of ATC cells in vitro and in vivo, disrupt the autophagy degradation, and inhibit the NF-κB pathway.