Background As common public facilities essential to daily life, hair and beauty salons frequently contain various airborne toxic and hazardous pollutants potentially leading to adverse health effects for salon practitioners. Objective To characterize the indoor air pollution profiles of common contaminants in hair and beauty salons in Shanghai and to evaluate the associated health risks for practitioners, in order to provide a scientific basis for strengthening the public health management in Shanghai and protecting the health of practitioners. Methods The air quality monitoring data of hair and beauty salons in Shanghai from 2016 to 2024 were obtained from the “Health Hazard Factors Monitoring Program for Public Places” of the National Institute of Environmental Health, Chinese Center for Disease Control and Prevention. Monitoring indicators included particulate matter ≤10 μm in aerodynamic diameter (PM₁₀), particulate matter ≤2.5 μm in aerodynamic diameter (PM_2.5), formaldehyde, ammonia, benzene, toluene, and xylene. Indicator compliance rates were calculated across various years in accordance with GB 9666-1996 Hygienic standard for barber shop and beauty shop and GB 37488-2019 Hygiene indicators and limit for public places; specifically, PM_2.5 was assessed against the limits stipulated in GB/T 18883-2022 Standards for indoor air quality. A questionnaire survey was conducted among salon practitioners to collect weekly working days and daily working hours. The non-carcinogenic risks associated with inhalation exposure to formaldehyde, ammonia, benzene, toluene, and xylene as well as the carcinogenic risks posed by formaldehyde and benzene were evaluated following WS/T 777-2021 Technical guide for environmental health risk assessment of chemical exposure and the U.S. Environmental Protection Agency inhalation risk model. Results The overall compliance rates of PM₁₀, formaldehyde, ammonia, benzene, and toluene in the air of hair and beauty salons in Shanghai from 2016 to 2024 were 92.13%, 96.59%, 96.15%, 94.93%, and 94.97%, respectively; the overall compliance rate of xylene was a little lower (85.92%), and the overall compliance rate of PM_2.5 was 57.18%. The P₅₀ concentrations of PM₁₀, PM_2.5, formaldehyde, ammonia, benzene, toluene, and xylene did not exceed the corresponding limits. The P₅₀ of non-carcinogenic risk indicator (hazard quotient, HQ) for formaldehyde, ammonia, benzene, toluene, and xylene were <1. The probabilities of non-carcinogenic risk HQ >1 for formaldehyde and xylene were 41.4% and 10.9%, respectively, which were higher than that of other pollutants. The P₅₀ of carcinogenic risk (CR) for formaldehyde and benzene were between 1.0×10⁻⁶ and 1.0×10⁻⁴, while the probabilities of CR >1.0×10⁻⁴ were 16.9% and 14.0%, respectively. Conclusion The overall compliance rate of common pollutant concentrations in the air of hair and beauty salons in Shanghai is high, and the hygienic condition meets the requirements of national standards. The non-carcinogenic health risks posed by formaldehyde and xylene to employees (with formaldehyde being more prominent), as well as the carcinogenic risks associated with formaldehyde and benzene, deserve heightened attention in future health supervision.

OBJECTIVE To establish a whole-process quality management index system for traditional Chinese medicine （TCM） reserved in the department of medical institutions， providing a reference for standardized management. METHODS An initial indicator framework was determined by collecting and analyzing relevant laws， regulations， policy documents， group standards， and literature on TCM management. Two rounds of Delphi expert consultation involving 20 experts were conducted to refine and optimize the indicator system. The analytic hierarchy process was used to construct judgment matrices and convert the indicator weights into a percentage-based system； an assessment was conducted on 14 departments with reserved TCM among the affiliated units of the Quality Management and Control Center for Traditional Chinese Medicine in Hebei Province. RESULTS The response rate for both rounds of consultation was 100%， with an expert authority coefficient of 0.89. The final quality management system of TCM reserved in the department included four first-level indicators： management （composite weight： 0.366 3）， processing （composite weight： 0.119 7）， storage （composite weight： 0.291 7） and usage （composite weight： 0.222 3）， and twenty-four second-level indicators， such as establishing an organizational structure for hospital drug quality management and having dedicated regulations for backup drugs in clinical departments. Kendall’s coefficient of concordance confirmed consistency across all levels of indicators. Based on the application of the indicator system for evaluation， the average score for the standardized management of reserved TCM in the department of medical institutions increased from 67.01 points to 85.15 points over three months. CONCLUSIONS The constructed indicator system meets the standardized management requirements for reserved TCM， enabling closed-loop management across the entire process of management， processing， storage and usage. It provides a reference for medical institutions to enhance the precision and standardization of reserved TCM management.

OBJECTIVE To construct a clinical inapplicability evaluation system for the instructions of oral Chinese patent medicines containing toxic decoction pieces， so as to provide references for the revision and improvement of such drug instructions and the formulation of instructions for new drugs. METHODS The initial indicator framework was determined based on policy documents and literature related to instruction registration and revision. Two rounds of Delphi consultation were conducted among 25 experts to refine and optimize the indicator system. The analytic hierarchy process was employed to construct judgment matrices and obtain indicator weights. The comprehensive weights were converted into a 100-point scale to evaluate 11 instructions of oral Chinese patent medicines containing toxic decoction pieces from the medical institution of the research team. RESULTS The average questionnaire recovery rate of the two rounds of consultation was 96%. The expert authority coefficients were 0.87 and 0.88， respectively， and the Kendall’s W was statistically significant （ P ＜0.001）. The final evaluation system comprised 4 first-level indicators （defect of toxicity identification， defect of dosage information， defect of risk warning， and defect of information guidance） and 24 second-level indicators （e.g.， failure to label toxic decoction pieces in 【warnings】， failure to indicate all decoction piece compositions， absence of medication course specifications， etc.）. The total scores of the 11 oral Chinese patent medicine instructions ranged from 15.50 to 50.87 points. The main clinical inapplicability issues included the absence of medication course specifications and the failure to provide warnings in items such as 【precautions】 for decoction pieces involving the “eighteen incompatibilities and nineteen mutual antagonisms”. CONCLUSIONS The constructed indicator system can meet the requirements for evaluating the clinical inapplicability of instructions for oral Chinese patent medicines containing toxic decoction pieces. All evaluated instructions exhibited certain clinical applicability defects. Pharmaceutical manufacturers should revise the instructions in accordance with policy requirements and clinical needs.

ObjectiveTo investigate the association between endothelin receptor type A gene （EDNRA） and congenital bilateral absence of the vas deferens （CBAVD）. MethodsThis case-control study consisted of 124 subjects with CBAVD and 100 fertile controls.Two single nucleotide polymorphisms （SNPs： rs5335 and rs1801708） in the EDNRA gene were genotyped via PCR， PCR-RFLP analysis， and direct sequencing. ResultsNo significant differences existed between EDNRA polymorphisms and CBAVD phenotype （rs1801708： P=0.220 2， 0.163 2； rs5335： P=0.805 8， 0.818 6）. However， the rs1801708-rs5335 haplotype AG was notably associated with an increased risk of CBAVD （P=0.008 6， OR=2.178， 95% CI： 1.207-3.929）. A significantly protective effect of rs1801708-rs5335 haplotype GG on CBAVD （P=0.038 5， OR= 0.671， 95% CI： 0.460-0.980） was observed. After Bonferroni correction， the result for haplotype A-G remained significant （P =0.008 6<0.012 5）， while haplotype G-G was not significant. ConclusionThe rs1801708-rs5335 AG haplotype of EDNRA is a potential risk factor for CBAVD development in Han Chinese.

ObjectiveTo investigate the effect of Sanet Vision Integrator (SVI)-based visuomotor integration training on the severity of neglect symptoms, upper limb motor function and activities of daily living (ADL) in patients with post-stroke unilateral spatial neglect (USN). MethodsFrom July, 2023 to September, 2025, 41 patients with post-stroke USN in Beijing Bo'ai Hospital were enrolled and randomly assigned to control group (n = 20) and experimental group (n = 21). Both groups received conventional rehabilitation and visual scanning training, while the experimental group received supplementary SVI-based visuomotor integration training, including saccadic, rotation and hand-eye coordination training, for eight weeks. They were assessed with Chinese Behavioral Inattention Test-Hong Kong version (CBIT-HK), Fugl-Meyer Assessment-Upper Extremities (FMA-UE) and modified Barthel Index (MBI) before and after treatment. ResultsAfter treatment, all the scores significantly improved in both groups (|t| > 4.004, P < 0.001), and the total scores of CBIT-HK and the core visual search sub-items (star cancellation, line crossing and letter cancellation), FMA-UE and MBI were better in the experimental group than in the control group (t > 2.096, P < 0.05). ConclusionSVI-based visuomotor training can effectively alleviate the USN symptoms, broaden the span of visual attention, facilitate the functional recovery of the affected upper extremity, and improve ADL in patients after stroke.

Objective: To analyze the demographic characteristics of patients with red blood cell transfusion reactions, the usage of red blood cell preparations, and the differences in the composition ratio of adverse reactions based on multi-center data from the Haemovigilance Network, in order to reveal the clinical characteristics of red blood cell transfusion and its underlying issues. Methods: Clinical data of patients who experienced transfusion reactions after red blood cell transfusion in the Haemovigilance Network from 2018 to 2023 were collected. The demographic characteristics of patients who experienced transfusion reactions with different types of red blood cell preparations, the utilization of these preparations, and the differences of the composition ratios of transfusion reactions were analyzed. Count data were expressed as numbers (n) or percentages (%), and comparisons between groups were performed using the Chi-square test. Results: Red blood cell transfusion reactions were more common in females (53.56%), with the majority of patients aged 50-69 years (35.54%). The Han polulation accounted for the vast majority of patients (92.77%), and patients in the hematology and obstetrics/gynecology departments had a relatively high proportion of transfusion reactions (13.26% and 14.26%, respectively). Leukocyte-reduced red blood cells and suspended red blood cells were the most common types of transfusion reactions reported among red blood cell preparations. Allergic reactions and non-hemolytic febrile reactions were the most common transfusion reactions, and there were significant differences in the composition ratios of allergic reactions (χ =869.89, P<0.05) and non-hemolytic febrile reactions (χ =812.75, P<0.05) across various types of red blood cell preparations. Conclusion: There are differences in the demographic characteristics and composition ratio of transfusion reactions among different red blood cell preparations. The management of red blood cell transfusion reactions should be tailored to patient characteristics and conditions, and the selection and use of blood products should be optimized to reduce or avoid the occurrence of transfusion reactions, such as considering the use of washed red blood cells for patients with a history of transfusion allergies or those prone to allergies.

Objective:To investigate the differences in clinical characteristics and antibiotic resistance of neonatal sepsis（NS）caused by different Gram-staining pathogens.Methods:A retrospective study was conducted on confirmed NS cases admitted to the Neonatal Ward of the Pediatric Department at The First Affiliated Hospital of Dali University，from June 1，2014，to May 31，2024.Patients were divided into Gram-positive and Gram-negative groups based on blood or cerebrospinal fluid（CSF）culture results.Clinical characteristics，pathogen distribution，and antibiotic resistance were compared between the two groups.Results:A total of 98 cases were included，with 81 in the Gram-positive group and 17 in the Gram-negative group.Multivariate logistic regression analysis revealed that NS cases with a high neutrophil percentage（ OR=0.933，95% CI：0.899-0.969）or hemorrhagic symptoms/signs（ OR=0.059，95% CI：0.008-0.458）were less likely to have Gram-positive pathogens detected in blood or CSF cultures（ P<0.05）.Common Gram-positive pathogens included Staphylococcus epidermidis with 35 strains（33.65%）and Staphylococcus hominis with 22 strains（21.15%）.The predominant Gram-negative pathogen was Escherichia coli with 14 strains（13.46%）.Gram-positive pathogens exhibited high resistance to oxacillin（91.30%），erythromycin（90.91%），and penicillin G（90.00%），but low resistance to tigecycline（0），linezolid（0），and vancomycin（0）.Gram-negative pathogens showed high resistance to ampicillin（92.31%），cefazolin（90.00%），and ampicillin/sulbactam（75.00%），but low resistance to amikacin（6.25%），latamoxef（0），and ertapenem（0）.The incidence of concurrent purulent meningitis was lower in the Gram-positive group than in the Gram-negative group（9.88% vs.47.06%， χ2=11.628， P<0.05），and there was significant difference. Conclusion:NS cases with high neutrophil percentages or hemorrhagic symptoms/signs are less likely to be caused by Gram-positive pathogens.Staphylococcus epidermidis and Staphylococcus hominis are common Gram-positive pathogens，while Escherichia coli is the predominant Gram-negative pathogen in NS.Both Gram-positive and Gram-negative pathogens exhibit resistance to specific antibiotics.NS caused by Gram-positive pathogens is less likely to be complicated by purulent meningitis compared to those caused by Gram-negative pathogens.

Objective:To investigate the changes of T lymphocyte subsets in patients with stage Ⅰ and Ⅱ cervical cancer after surgery and their relationship with postoperative lymph node metastasis according to the International Federation of Gynecology and Obstetrics (FIGO) stage (2014) .Methods:A total of 192 patients with FIGO stage ⅠA, ⅠB1, ⅠB2 and ⅡA1 who received radical cervical cancer resection and pelvic lymph node dissection in People's Hospital of Yuechi County of Sichuan Province and West China Guang'an Hospital of Sichuan University from November 2018 to November 2020 were selected for this study. According to FIGO stage, patients were divided into stage Ⅰ group ( n=85) and stage Ⅱ group ( n=107) . The dynamic changes of T lymphocytes subsets in patients with different FIGO stages were compared before and after surgery. Repeated measurement of variance was used to analyze the levels of T lymphocytes subsets in patients of different stages during treatment. Logistic regression was used to analyze the influencing factors of postoperative lymph node metastasis in patients with cervical cancer. Multivariate logistic regression was used to analyze the relationship between T lymphocytes subsets and postoperative lymph node metastasis. Receiver operator characteristic (ROC) curve was used to analyze the predictive efficacy of T lymphocytes level in postoperative lymph node metastasis. Results:The postoperative lymph node metastasis rate in stage Ⅱ patients [32.71% (35/107) ] was higher than that in stage Ⅰ patients [14.12% (12/85) ], with a statistically significant difference ( χ2=8.86, P=0.003) . Compared with the stage Ⅱ group, the levels of CD3 +, CD4 + T lymphocytes and CD4 +/CD8 + ratio were significantly higher in the stage Ⅰ group 1 day before surgery (all P<0.001) , and the level of CD8 + T lymphocytes was significantly lower ( P<0.001) . The levels of CD3 +, CD4 +, CD8 + T lymphocytes and the ratio of CD4 +/CD8 + showed dynamic changes at different stages after surgery. On 1, 7 and 30 days after surgery, the levels of CD3 +, CD4 + T lymphocytes and the ratio of CD4 +/CD8 + in stage Ⅰ group were higher than those in stage Ⅱ group (all P<0.001) , CD8 + T cell levels were lower than those in stage Ⅱ group (all P<0.001) . There were statistically significant differences in T lymphocytes subsets CD3 +, CD4 +, CD8 + and CD4 +/CD8 + time effect, intergroup effect and interaction effect between the two groups (all P<0.001) . Univariate analysis showed that the pathological type ( OR=1.85, 95% CI: 1.14-2.33, P=0.015) , differentiation degree ( OR=1.93, 95% CI: 1.18-2.67, P=0.024) , depth of myometrial invasion ( OR=2.08, 95% CI: 1.26-2.59, P=0.012) , tumor morphology ( OR=2.17, 95% CI: 1.57-2.63, P=0.009) , parametrial invasion ( OR=1.95, 95% CI: 1.43-2.76, P=0.036) and lymphovascular space invasion ( OR=2.03, 95% CI: 1.28-2.57, P=0.021) were the influencing factors for postoperative lymph node metastasis in patients with FIGO stage Ⅰ and Ⅱ cervical cancer. Multivariate analysis showed that the degree of differentiation ( OR=1.75, 95% CI: 1.08-2.03, P=0.015) , depth of myometrial invasion ( OR=2.30, 95% CI: 1.43-2.84, P=0.021) , parametrial invasion ( OR=2.50, 95% CI: 1.76-2.97, P=0.018) and lymphovascular space invasion ( OR=1.96, 95% CI: 1.03-2.51, P=0.033) were independent factors for postoperative lymph node metastasis in patients with FIGO stage Ⅰ and Ⅱ cervical cancer. Multivariate logistic regression analysis showed that the levels of CD3 +, CD4 +, CD8 + T cells and the ratio of CD4 +/CD8 + in patients with stage Ⅰ and stage Ⅱ cervical cancer 1 day before surgery were independent influencing factors for postoperative lymph node metastasis (all P<0.05) . ROC curve analysis showed that the areas under the curve of CD3 +, CD4 +, CD8 + T lymphocytes levels and the ratio of CD4 +/CD8 + in stage Ⅰ patients 1 day before surgery for predicting postoperative lymph node metastasis were 0.86, 0.82, 0.83, 0.89, respectively, and those in stage Ⅱ patients were 0.90, 0.93, 0.87, 0.95, respectively. CD4 +/CD8 + ratio was significantly more effective in predicting postoperative lymph node metastasis than other indexes (all P<0.001) . Conclusions:The levels of CD3 +, CD4 + T lymphocytes, and the CD4 +/CD8 + ratio in patients with FIGO stage Ⅰ and Ⅱ cervical cancer are significantly higher in 1-30 days after surgery than before, while the level of CD8 + T lymphocytes is significantly lower than before. There is a significant correlation between T lymphocytes subsets and lymph node metastasis after surgery. In addition, low differentiation, depth of myometrial invasion ≥1/2, parametrial invasion, and lymphovascular space invasion are independent risk factors for postoperative lymph node metastasis.

Drug resistance is one of the key factors affecting the effectiveness of cancer treatment methods, including chemotherapy, radiotherapy, and immunotherapy. Its occurrence is related to factors such as mRNA expression and methylation within cancer cells. If drug resistance in patients can be accurately identified early, doctors can devise more effective treatment plans, which is of great significance for improving patients' survival rates and quality of life. Cancer drug resistance prediction based on artificial intelligence (AI) technology has emerged as a current research hotspot, demonstrating promising application prospects in guiding clinical individualized and precise medication for cancer patients. This review aims to comprehensively summarize the research progress in utilizing AI algorithms to analyze multi-omics data including genomics, transcriptomics, epigenomics, proteomics, metabolomics, radiomics, and histopathology, for predicting cancer drug resistance. It provides a detailed exposition of the processes involved in data processing and model construction, examines the current challenges faced in this field and future development directions, with the aim of better advancing the progress of precision medicine.

Deep learning method can be used to automatically analyze electrocardiogram (ECG) data and rapidly implement arrhythmia classification, which provides significant clinical value for the early screening of arrhythmias. How to select arrhythmia features effectively under limited abnormal sample supervision is an urgent issue to address. This paper proposed an arrhythmia classification algorithm based on an adaptive multi-feature fusion network. The algorithm extracted RR interval features from ECG signals, employed one-dimensional convolutional neural network (1D-CNN) to extract time-domain deep features, employed Mel frequency cepstral coefficients (MFCC) and two-dimensional convolutional neural network (2D-CNN) to extract frequency-domain deep features. The features were fused using adaptive weighting strategy for arrhythmia classification. The paper used the arrhythmia database jointly developed by the Massachusetts Institute of Technology and Beth Israel Hospital (MIT-BIH) and evaluated the algorithm under the inter-patient paradigm. Experimental results demonstrated that the proposed algorithm achieved an average precision of 75.2%, an average recall of 70.1% and an average F ₁-score of 71.3%, demonstrating high classification accuracy and being able to provide algorithmic support for arrhythmia classification in wearable devices.
Humans ; Arrhythmias, Cardiac/diagnosis* ; Algorithms ; Electrocardiography/methods* ; Neural Networks, Computer ; Signal Processing, Computer-Assisted ; Deep Learning ; Classification Algorithms