Human umbilical cord mesenchymal stem cell （hUC-MSC） as a cell-based therapeutic strategy have demonstrated significant application potential in the field of intervention for neurodegenerative disease （NDD） due to their advantages such as self-renewal， multi-directional differentiation， and low immunogenicity. hUC-MSC effectively intervenes in the pathological features and neurological functions of various disease models such as Alzheimer disease， Parkinson’s disease， amyotrophic lateral sclerosis， and multiple sclerosis primarily through multiple mechanisms such as homing and differentiation， mediating paracrine actions and releasing exosomes， as well as immune regulation and anti-inflammation. Some clinical studies have also preliminarily verified their safety and effectiveness. Currently， its research still faces challenges such as immune rejection reactions requiring further observation， long-term safety needing evaluation， mechanisms of action not being fully elucidated， and slow progress in clinical trials. Future research needs to establish pharmaceutical standards for hUC-MSC， deepen their pharmacological mechanisms and clinical trials， ultimately providing new and effective drug treatment options for patients with NDD.

Objective To analyze the unexamined items and situations in occupational health examinations of radiation workers, and provide a reference for the revision of occupational health examination standards for radiation workers. Methods A total of 29 630 radiation workers who underwent occupational health examinations at The Third People’s Hospital of Henan Province in 2023 were selected, and the non-examination rates were statistically analyzed according to occupation, gender, and age. Results The overall non-examination rate of non-medical radiation workers was significantly lower than that of the medical radiation workers (P<0.05). The non-examination rate of chest X-rays among medical radiation workers was significantly higher than that of non-medical radiation workers (P<0.05), while no significant differences were found in other items (P>0.05). Gender-stratified analysis showed that the non-examination rate of routine urine tests was higher in females than in males in both medical and non-medical radiation workers (P<0.05). Age-stratified analysis revealed no significant differences in non-examination rates among different age groups in non-medical radiation workers (P>0.05), whereas the chest X-ray non-examination rate was relatively high in medical radiation workers under 30 years old (P<0.05). Conclusion Significant differences were observed in the non-examination rates of occupational health examinations among radiation workers based on occupation, gender, and age. The overall non-examination rate was relatively low in non-medical radiation workers.

BackgroundSchizophrenia is a highly heterogeneous disease with different clinical subtypes. Artificial intelligence technology represented by deep learning models has provided considerable benefits for the electroencephalogram （EEG）-based schizophrenia diagnosis， treatment and research， however， to date little research has been conducted regarding any of these benefits among Chinese schizophrenic patients. ObjectiveTo investigate the application of deep learning techniques utilizing EEG parameters for the diagnosis of first-episode schizophrenia and grading of EEG abnormalities in patients， with the aim of contributing to improved clinical diagnosis and treatment strategies for the disorder. MethodsFrom January 2020 to January 2023， a total of 130 patients with first-episode schizophrenia who met the diagnostic criteria of International Classification of Diseases， tenth edition （ICD-10）， and attended at the Third People's Hospital of Fuyang， along with 150 health checkup examinees， were enrolled. All of them underwent EEG examination. An optimized long short-term memory （LSTM） deep learning model was developed utilizing EEG signals. Ten-fold cross-validation method was employed to evaluate the model's performance. The dataset was then split into two components： a training set （90%） for LSTM model development and a test set （10%） for validation. The accuracy， recall rate， precision， F1-score， schizophrenia diagnosis and EEG abnormality grading were used as evaluation indicators， and the results of the proposed model were compared to the assessments made by experienced psychiatrists. ResultsFor schizophrenia diagnosis， the modeling group achieved the following performance metrics： precision （94.40±3.03）%， recall rate （94.30±3.23）%， accuracy （94.60±2.22）%， and F1-score （94.20±2.20）%. In the validation group， the corresponding metrics were precision （90.90±2.85）%， recall rate （92.20±1.14）%， accuracy （92.20±1.69）%， and F1-score （91.50±1.78）%. Statistical analysis revealed no significant differences between the LSTM diagnostic model and the experienced psychiatrists in terms of precision， recall rate， accuracy， and F1-score for schizophrenia diagnosis （χ²=1.500， 0.750， 2.722， 1.056， P>0.05）. The modeling group demonstrated an accuracy rate of （91.71±1.73）% in grading EEG abnormalities. For Grade 1 abnormalities， the modeling group reported a precision of （96.40±2.39）%， a recall rate of （94.77±1.40）%， and an F1-score of （95.55±1.14）%. In the case of Grade 2 abnormalities， the precision was （85.89±2.04）%， the recall rate was （88.10±6.18）%， and the F1-score was （87.06±3.12）%. For the more severe Grade 3 abnormalities， the modeling group's precision was （79.61±7.33）%， the recall rate was （81.79±9.87）%， and the F1-score was （80.41±6.79）%. Additionally， the validation group exhibited an accuracy rate of （85.61±6.16）%. The precision， recall rate， and F1-score for Grade 1 abnormalities were （91.43±6.25）%， （92.64±9.65）% and （91.56±4.83）%， respectively. For Grade 2 abnormalities， these metrics were （71.17±19.02）%， （77.64±17.24）% and （71.88±11.33）%. In the case of Grade 3 abnormalities， the precision was （90.00±21.08）%， the recall rate was （80.00±25.82）%， and the F1-score was （81.67±19.95）%. There was no significant difference in the accuracy， recall， accuracy and F1 value between LSTM model and senior doctors in evaluating the abnormal degree of EEG in schizophrenia （χ²=0.098， 0.036， 0.020， 0.336， P>0.05）. The LSTM model takes less time to diagnose schizophrenia and EEG abnormalities than senior doctors， and the differences were statistically significant （t=57.147， 43.104， P<0.01）. ConclusionThe study utilizes an EEG-based LSTM deep learning model for diagnosing first-episode schizophrenia and grading EEG abnormalities， and the model not only matches the performance of experienced psychiatrists but also significantly reduces the time required for diagnosis.

OBJECTIVE To promote the application of drones in emergency rescue and related fields， expand “low-altitude+ medical” rescue services， and advance the standardization of “low-altitude+medical” distribution services. METHODS The Consensus on Low-altitude Transport and Delivery Services for Emergency Medicines via Drones （2025 Edition） （hereinafter referred to as the Consensus） was jointly initiated by the Division of Therapeutic Drug Monitoring， Chinese Pharmacological Society and the Expert Committee on Precision Medication of the Guangdong Pharmaceutical Association. Guangzhou Red Cross Hospital served as the leading unit， organizing 53 multidisciplinary experts nationwide to participate in drafting and reviewing. A nominal group technique was employed to discuss and finalize the consensus outline， resulting in a preliminary draft. Delphi method was employed， and 11 external review experts were invited to conduct the evaluation. After the experts’ opinions were analyzed and integrated， the Consensus was finalized. RESULTS & CONCLUSIONS The finalized Consensus includes its purpose， principles， and applicable scenarios， basic requirements， and operational procedures for low-altitude transport and delivery of emergency medications； distribution requirements and precautions for controlled substances， fragile medications， and temperature-sensitive medications； and recommendations for emergency medications supplies suitable for the low-altitude transportation and distribution. The release of this Consensus is expected to provide guidance and support for the standardization of “low-altitude+medical” distribution services and the application of low-altitude economy in the healthcare sector.

Cognitive impairment is a major public health challenge facing global aging societies， and currently lacks effective treatment measures. Herb pair， characterized by their rigorous compatibility and synergistic effects， demonstrate unique advantages in clinical practice. Acorus tatarinowii-Polygala tenuifolia is a classic herbal pair for treating cognitive impairment， widely utilized in various traditional Chinese medicine formulations， such as Kaixin san， Shenghui tang， and Yuanzhi san. This article summarizes the pharmacological mechanisms of A. tatarinowii， P. tenuifolia and their compatible compound prescriptions in ameliorating cognitive impairment. It is found that they can exert effects in ameliorating cognitive impairment through mechanisms such as reducing amyloid β-protein deposition and inhibiting excessive phosphorylation of Tau protein， suppressing inflammatory responses， alleviating oxidative stress， protecting neurons and regulating neurotransmitters， modulating the structure and function of the blood- brain barrier， and regulating autophagy. Subsequently， in-depth analysis can be conducted on the active ingredients of A. tatarinowii- P. tenuifolia herb pair that ameliorate cognitive impairment， along with the addition of relevant clinical trials for verification. This will provide theoretical foundations and research approaches for the treatment of cognitive impairment using traditional Chinese medicine.

Objective:A C57/BL6 mouse model of traumatic temporomandibular joint ankylosis (TTMJA) was established through composite trauma to lay the foundation for studying the pathophysiology of TTMJA.Methods:This study was conducted from January 2024 to February 2025. Forty-two 4-weeks old C57/BL6 mice, numbered 1 to 42, are randomly assigned to a control group ( n=21) and an experimental group ( n=21) using a computer-generated random number sequence. The experimental group undergoes modeling surgery on the left temporomandibular joint (TMJ), while the control group is routinely raised without special treatment. At 12 weeks post-surgery, the TMJ complex of both groups is assessed via body weight and mouth opening measurements, gross observation, micro-CT, and histological staining to evaluate model establishment. Results:At 12 weeks post-operation, in the experimental group, the body weight of mice [(27.75±1.08) g] did not show a significant difference compared with that of the control group [(30.80±0.29) g]( t=0.54, P=0.610). The maximum vertical passive mouth opening [(1.70±0.26) mm] in the experimental group was significantly lower than that in the control group [(3.43±0.21) mm]( t=8.92, P<0.001). Gross observation indicated that the right TMJ structure of the experimental-group mice was normal, while irregular hyperplasia occurred in the left TMJ complex. Micro-CT revealed that at 12 weeks post-operation, the right joint structure of the experimental-group mice was normal, with regular condyles and glenoid fossae. On the left side, a large amount of bone hyperplasia occurred on the lateral side of the joint in the condyles and glenoid fossae, forming two irregular bone masses, and there was an uncalcified radiolucent zone between the bone masses. In histological staining, no new cartilage or bone tissue was observed in the left joint space of the control-group mice, and the articular disc structure was normal. In the experimental-group mice, obvious new cartilage and calcified bone tissue were visible on the lateral side of the left joint space. A bone bridge was formed between the condyles and glenoid fossae, the articular disc structure disappeared, and bony ankylosis occurred. Conclusions:In this experiment, a TTMJA model of C57/BL6 mice was initially established by removing the articular disc and damaging part of the fibrous cartilage of the glenoid fossae and condyles, providing an experimental platform for further research on the pathogenesis of TTMJA.

Objective To investigate the status and influencing factors of type 2 diabetes mellitus(T2DM)patients' fear of complications,and to provide a reference for formulating targeted intervention measures.Methods From April to November 2024,370 patients with T2DM in 2 tertiary general hospitals in Daqing City were selected by convenience sampling method.General data questionnaire,Fear of Complications Questionnaire,Self-Perceived Burden Scale,Psychological Capital Questionnaire,Mishel Uncertainty in Illness Scale and Family Apgar Index Questionnaire were used for investigation.Univariate analysis and binary Logistic regression were performed to analyze the influencing factors.Results A total of 364 valid questionnaires were collected,with an effective recovery rate of 98.38％.The score of Fear of Complications Questionnaire was(23.47±7.47),and the incidence of fear of complications was 22.25％.Logistic regression analysis showed that medical payment methods,the number of complications,positive psychological capital and family care were the influencing factors of FoC in T2DM patients.Conclusion The fear of complications in T2DM patients is at a moderate level.Nursing staff should pay attention to the early assessment of patients' fear of complications,promptly identify and take effective measures to reduce the level of patients' fear of complications,improve their quality of life.

Gongfa is an essential approach to prevent and treat diseases in traditional Chinese medicine(TCM),often used to prevent a disease before it arises.Guided by TCM and modern scientific theories,the Tuina(Chinese therapeutic massage)Gongfa prescription theory implements the principle,method,prescription,and form in clinical pattern-identified treatment to prescribe the corresponding Tuina Gongfa prescription,i.e.,to prescribe a basic Tuina Gongfa prescription,specifically for a systemic disease,and modify Gongfa forms based on the basic prescription according to different patterns.The Gongfa prescription for pulmonary diseases designs corresponding Gongfa forms from six perspectives:lifting Yang,securing the exterior,opening the orifices,soothing the chest,harmonizing the stomach,and regulating Qi to prevent and treat diseases.The application of the pulmonary Gongfa prescription indicates the potential to apply the Tuina Gongfa prescription theory for the clinical prevention,treatment,and rehabilitation of disorders of other systems,thereby fully realizing the unique role of TCM Gongfa.

Objective To evaluate the clinical efficacy and safety of Huoxue Jiedu Prescription in the treatment of polycythemia vera with heat toxicity and blood stasis syndrome.Methods Totally 155 patients of polycythemia vera with heat toxicity and blood stasis syndrome from 5 hospitals including Langfang Traditional Chinese Medicine Hospital from October 2022 to March 2024 were collected.Patients were divided into an observation group(79 cases)and control group(76 cases)using a random number table method.Both groups received conventional Western medicine treatment.The observation group was given Huoxue Jiedu Prescription,one dosage per day,taken orally twice a day;both groups received one treatment course of one month,and three treatment courses were observed.The efficacy of Western medicine and TCM syndromes was observed,and the total symptom assessment scale of myeloproliferative neoplasms(MPN-10)scores,hematological indicators,coagulation function before and after treatment were compared.The safety indicators of the two groups were monitored.Results The control group and observation group lost 2 and 4 cases,respectively.The total effective rate of Western medicine in the observation group was 90.67%(68/75),while the control group was 67.57%(50/74),with statistical significance(P<0.01).The total effective rate of TCM syndromes in the observation group was 94.67%(71/75),while in the control group was 71.62%(53/74),with statistical significance(P<0.01).Compared with before treatment,the total score of MPN-10 in both groups significantly decreased(P<0.05);after treatment,the total score of MPN-10 in the observation group was lower than that in the control group(P<0.05).Compared with before treatment,both groups showed significant reductions in hemoglobin,white blood cell count,hematocrit and platelet count after treatment(P<0.05);after treatment,the above hematological indicators in the observation group were better than those in the control group(P<0.05).Compared with before treatment,the levels of D-dimer and fibrinogen in both groups significantly decreased after treatment,and the activated partial thromboplastin time and prothrombin time were significantly shortened(P<0.05);after treatment,the observation group showed better improvement in the coagulation function indicators compared to the control group(P<0.05).There were no significant adverse reactions in the two groups.Conclusion Huoxue Jiedu Prescription can improve clinical efficacy of polycythemia vera with heat toxicity and blood stasis syndrome,improve hematological indexes,reduce coagulation indexes,and has good safety.

Objective:To investigate the current application of blood purification in the treatment of acute poisoning within Jiangsu Province and to evaluate the impact of extracorporeal blood purification on the clinical outcomes of critically poisoned patients.Methods:This multicenter, cross-sectional real-world observational study followed patients presenting with poisoning to the emergency departments of nine hospitals in Jiangsu Province between June 2015 and May 2019. Data were collected on demographic characteristics, vital signs within the first hour of emergency presentation, treatment modalities, length of hospital stay, and survival outcomes. Clinical data from patients who underwent extracorporeal blood purification were compared with those who did not, using the Wilcoxon rank-sum test and Chi-square test.Results:A total of 4 178 poisoning cases were included between June 2015 and May 2019. Among them, 21.7% (908/4 178) received blood purification therapy, while 78.3% (3 270/4 178) did not. Hemoperfusion (90.4%) was the most frequently employed method, followed by continuous renal replacement therapy (CRRT) (4.4%). In combined blood purification modalities, 4.8% underwent hemoperfusion combined with CRRT, 0.1% received hemoperfusion with plasma exchange, and another 0.1% underwent hemoperfusion combined with both CRRT and plasma exchange. Among patients who underwent blood purification, pesticide poisoning was the most prevalent (76.3%), with the most common toxic agents being paraquat (23.7%), dichlorvos (8.7%), methamidophos (5.2%), omethoate (4.0%), and glyphosate (3.7%). Compared to the non-blood purification group, patients in the blood purification group were more likely to present within the first hour with a low Glasgow Coma Scale (GCS) score (3-8) (22.6% vs. 9.7%, P <0.05), low mean arterial pressure (8.0% vs. 3.2%, P <0.05), longer hospital stays [5(3,9) days vs. 2(1,4) days, P <0.05] and a higher in-hospital mortality rate (21.1% vs. 5.3%, P <0.05). Follow-up via telephone 28 days after discharge revealed a survival rate of 78.9%, with a mortality rate of 21.1% in the blood purification group. Conclusions:Hemoperfusion is the most commonly utilized blood purification technique for treating poisoning in Jiangsu Province, with pesticides being the primary toxic agents treated. Although the mortality rate is higher in the blood purification group, the intervention may still contribute to improved patient outcomes.