Chronic hepatitis B （CHB） is a significant public health issue worldwide. The persistent presence of covalently closed circular DNA of the hepatitis B virus （HBV） and the integration of the viral genome are the main obstacles limiting the achievement of virological cure in CHB. Functional cure has now become an important goal in antiviral therapy for CHB， and its accurate determination and efficacy prediction rely on a comprehensive assessment of multidimensional diagnostic markers. This article systematically reviews the research advances in diagnostic markers associated with functional cure in CHB， focusing on the clinical value of serological and virological indicators （HBsAg quantification and HBV DNA）， genomic， transcriptomic， proteomic， and metabolomic markers， and indicators associated with host innate immunity and adaptive immunity. Furthermore， it discusses future research directions such as the establishment of unified detection standards and the construction of predictive models combining multiple markers， in order to promote the precise assessment and individualized management of functional cure in CHB.

OBJECTIVE To explore comprehensive management and potential issues associated with long-term prescriptions medications of psychiatry， in order to provide a reference for the comprehensive management of long-term prescriptions of psychiatry in psychiatric hospitals and other medical institutions’ pharmacies. METHODS Starting from the applicable principles for long-term prescriptions of psychiatry， this study introduced the standardized assessment and precautions before issuing long-term prescriptions， the formulation and adjustment of the drug list， as well as the rational management of the long-term prescriptions. It also analyzed potential issues that may arise in the comprehensive management of long-term prescription medications and proposed corresponding countermeasures and suggestions. RESULTS & CONCLUSIONS Prior to initiating long-term prescriptions， a standardized assessment should be conducted on patients from the aspects of their psychiatric condition and long-term potential risk factors， pharmacological treatment plans and other non-pharmacological therapies， physical illnesses. Additionally， healthcare providers should fulfill their obligation to inform patients or their family members. The comprehensive management of long-term prescription medications should be jointly established and improved by multiple departments， and the formulation of drug catalogs should avoid including drugs with potential social harm or medication risks while complying with policy requirements. Furthermore， measures such as adding special identifiers to long-term prescriptions， providing patients with reminders about （No.YGLX202537） prescription expiration， or offering online consultations can also effectively enhance the rationality of medication use under long-term prescriptions. Currently， the implementation of long-term prescriptions in psychiatry remains challenged by inconsistencies in prescription duration， incomplete coverage of diagnostic categories， poor patient adherence， and the risk of deviation in clinical assessments. In this regard， measures such as collaborating with multiple departments to strengthen long-term prescription information management， providing matching pharmaceutical services， ensuring the quality and rationality of long-term prescription implementation， and using modern methods to screen high-risk patients can be taken to improve patient medication compliance and safety.

The etiology of nervous system diseases is complicated, posing significant harm to patients and often resulting in poor prognoses. In recent years, the role of dopaminergic system in nervous system diseases has attracted much attention, and its complex regulatory mechanism and therapeutic potential have been gradually revealed. This paper reviews the role of dopaminergic neurons, the neurotransmitter dopamine, dopamine receptors and dopamine transporters in neurological diseases (including Alzheimer's disease, Parkinson's disease and schizophrenia), with a view to further elucidating the disease mechanism and providing new insights and strategies for the treatment of neurological diseases.
Humans ; Dopamine/metabolism* ; Nervous System Diseases/physiopathology* ; Parkinson Disease/physiopathology* ; Receptors, Dopamine/metabolism* ; Dopaminergic Neurons/physiology* ; Dopamine Plasma Membrane Transport Proteins/metabolism* ; Alzheimer Disease/physiopathology* ; Schizophrenia/physiopathology* ; Animals

Objective As an important monitoring target for gaseous effluents from nuclear facilities, the radioactive inert gas ⁸⁵Kr requires accurate measurement, which is crucial for nuclear safety and radiation protection. This study organized an inter-laboratory comparison activity for ⁸⁵Kr gamma-ray spectrometry measurements, with the aims of identifying potential problems in ⁸⁵Kr measurement and improving detection capabilities and proficiency. Methods Four laboratories participated in this comparison. Each laboratory employed gamma-ray spectrometry to measure the comparison samples, and the results were evaluated using the E_n value. Results The measurement results from all participating institutions were acceptable, with the maximum E_n value being 0.73. The results demonstrate that despite the low gamma-ray branching ratio of ⁸⁵Kr and its susceptibility to interference from the 511 keV positron annihilation peak, gamma-ray spectrometry can achieve reliable activity measurements of ⁸⁵Kr. Conclusion The comparison for ⁸⁵Kr gamma-ray spectrometry tested the capabilities of the participating laboratories in ⁸⁵Kr measurement. It promoted technical exchange and experience sharing among laboratories, laying a foundation for future comparisons involving more complex radioactive inert gases.

Mid-to-late stage ankle arthritis is a chronic degenerative disease that is extremely common in clinical practice.It is characterized by significant cartilage degeneration and subchondral bone sclerosis,accompanied by the formation of osteophytes around the joint,often leading to joint deformity.This condition causes severe pain in the patients during walking,severely restricts their activities,and affects their qualities of life.In recent years,with the continuous improvement of medical standards,the treatment methods for mid-to-late stage ankle arthritis have shown a diversified development trend.Non-surgical treatments primarily include activity restriction,orthotic devices,oral non-steroidal anti-inflammatory drugs(NSAIDs),and intra-articular injections of the talocrural joint.The surgical treatments primarily include joint distraction arthroplasty,periacetabular osteotomy,total ankle arthroplasty,and ankle arthrodesis.Tissue engineering therapy,as an emerging method,has also received considerable attention.This article systematically reviewed the selection principles and research progress of various treatment options for mid-to-late stage ankle arthritis,including traditional treatments,non-surgical treatments,surgical treatments,and tissue engineering treatments.By deeply analyzing the basic principles and advantages and disadvantages of each treatment method,and combining the latest research findings on clinical outcomes,a scientific and comprehensive clinical decision-making reference system was constructed to provide clearer and more comprehensive treatment choices for both doctors and patients,thereby effectively improving treatment outcomes and enhancing the quality of life for the patients.

Objective:To evaluate the predictive performance of machine learning methods for predicting the risk of death in traumatic hemorrhage, and address the low prediction accuracy of traditional trauma scores, provide a reference for developing a more robust prediction method for severe trauma patients.Methods:Clinical data of severe trauma patients from the National Trauma Medical Center between April 1, 2023, and March 31, 2024 were collected. ElasticNet, Recursive Feature Elimination, and Mutual Information-based feature selection methods were used to screen variables and compared with traditional hypothesis testing methods. Built the prediction models for mortality risk in traumatic hemorrhage using Logistic Regression, ElasticNet, and Support Vector Machine (SVM) and compared the predictive performance.Results:The study included 5,601 trauma patients, the results of the variable screening and importance ranking were consistent with three feature selection methods. The classification accuracy and AUC values for the three models were as follows: Overall accuracy was 83.2%, survival accuracy was 84.0%, death accuracy was 76.3%, and an AUC was 0.86 in logistic regression; Overall accuracy was 78.9%, survival accuracy was 78.5%, death accuracy was 81.7%, and an AUC was 0.88 in ElasticNet; Overall accuracy was 84.7%, survival accuracy was 86.1%, death accuracy was 72.4%, and an AUC was 0.86 in SVM. The prediction performance of three models is quite little.Conclusion:Machine learning methods can effectively improve the prediction of death risk for traumatic hemorrhage,and has wide applications.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To explore the correlation between long non-coding RNA LOC101927476 (LncRNA LOC101927476), stage-specific embryonic antigen-4 (SSEA-4), and intronic microRNA-28 (hsa-miR-28) and postoperative recurrence/metastasis of ovarian cancer.Methods:A total of 195 patients with ovarian cancer who underwent surgical treatment in The First People’s Hospital of Shangqiu and The First Affiliated Hospital of Zhengzhou University from Jan. 2021 to Oct. 2022 were selected. Patients were divided into occurrence group and non-occurrence group according to whether they had recurrence/metastasis within 2 years after surgery. R package "Match It" and the 1∶1 principle for propensity score matching (PSM) were used to compared the expression of LncRNA LOC101927476, SSEA-4 mRNA, and hsa-miR-28 in different tissues and two groups. Multivariate logistic regression analysis was used to analyze the correlation between various detection indicators in cancer tissues and postoperative recurrence/metastasis of ovarian cancer. The value of LncRNA LOC101927476, SSEA-4 mRNA, hsa-miR-28, and their combined use in predicting recurrence/metastasis in cancer tissues was analyzed using the receiver operating characteristic (ROC) curve. The external calibration curve was used to analyze the combined predicts of the consistency between the incidence of recurrence/metastasis and the actual incidence.Results:In cancer tissues, the expression of LncRNA LOC101927476 and hsa-miR-28 was lower than that in adjacent tissues, while the expression of SSEA-4 mRNA was higher ( P<0.05). The expression of LncRNA LOC101927476 and hsa-miR-28 in the occurrence group was lower than that in the non-occurrence group, while the expression of SSEA-4 mRNA was higher than that in the non-occurrence group ( P<0.05). Multivariate logistic regression analysis showed that the increase of LncRNA LOC101927476, SSEA-4 mRNA, and hsa-miR-28 were independent factors associated with the recurrence/metastasis of ovarian cancer after surgery ( P<0.05). ROC analysis showed that the AUCs of LncRNA LOC101927476, SSEA-4 mRNA, hsa-miR-28, and their combined prediction of ovarian cancer recurrence/metastasis after surgery were 0.730, 0.767, 0.832, and 0.915, respectively ( P<0.001). Comparing the AUC of the combination with that of the individual, it was found that the AUC of the combination was significantly higher than that of LncRNA LOC101927476, SSEA-4 mRNA, and hsa-miR-28 ( Z=3.924, 2.995, 2.078, P=0.000, 0.003, 0.038). The calibration curve of the external dataset showed that the combined prediction of the incidence of recurrence/metastasis was basically consistent with the actual incidence, and the two curves had a high degree of fit. Conclusions:The expression of LncRNA LOC101927476, SSEA-4, and hsa-miR-28 in cancer tissues is associated with postoperative recurrence/metastasis of ovarian cancer, which can provide a reference for early clinical prediction of recurrence/metastasis. The combined application of the three can further improve the predictive value, help to early warn the risk of recurrence/metastasis, and provide important reference information for clinical personalized prevention intervention.

Objective:To evaluate the short-and medium-term therapeutic efficacy of shockwave balloon therapy for TASCⅡ C/D femoropopliteal artery atherosclerosis obliteration.Methods:This retrospective cohort study included 25 patients who received shockwave balloon therapy in five vascular centers from August 2022 to June 2023. All patients were diagnosed with TASC Ⅱ C/D femoropopliteal arteriosclerosis obliterans (13 cases of type C and 12 cases of type D), and underwent intravascular shock wave lithotripsy (IVL) to treat calcified lesions. The immediate effectiveness (residual stenosis<30% and no flow-limiting dissection), safety (whether there were adverse vascular events during the operation) and the rate of salvage stent implantation were recorded. The observation indexes of patients before operation, early postoperative period (immediately after operation or before discharge) and postoperative follow-up period (3, 6, 12 months after operation) were collected. The observation indexes included ankle-brachial index (ABI), Rutherford classification, and minimum lumen diameter (MLD). Repeated measures ANOVA was used to evaluate the changes of observation indexes in the early postoperative and follow-up stages compared with those before operation; Kaplan-Meier survival analysis was used to evaluate the one-stage patency rate at follow-up and the target lesion revascularization rate free from clinical drive.Results:The immediate effectiveness of surgery was 100% in all patients, with no vascular related adverse events occurred, and no remedial stent implantation was performed. The ABI, Rutherford grade and MLD of the patients in the early postoperative period and each follow-up stage were improved compared with those before operation, with statistically significant differences ( P<0.05). Kaplan-Meier survival analysis showed that the primary patency rate at 12 months after surgery was 0.78 (95% CI 0.64-0.84), and the revascularization rate of target lesions free from clinical drive was 0.87 (95% CI 0.85-0.95). Conclusion:Shockwave balloon therapy for complex calcified femoropopliteal artery lesions is safe and reliable, with satisfactory short-and medium-term efficacy.

OBJECTIVE: To assess the value of the Prostate Imaging Reporting and Data System version 2.1 (PI-RADS v2.1) score combined with PSA density (PSAD) in the diagnosis of clinically significant prostate cancer (CSPCa) in the PSA grey zone by MRI-TRUS cognitive fusion-guided transperineal targeted prostate biopsy. METHODS: This retrospective study included 327 male patients with total PSA (tPSA) levels of 4-10 μg/L undergoing MRI-TRUS cognitive fusion-guided transperineal targeted prostate biopsy in our hospital between January 2021 and December 2023. According to the pathological results, we divided the patients into a CSPCa (n = 44) and a non-CSPCa group (n = 283), collected their clinical and imaging data, and subjected them to statistical analysis. RESULTS: The age, tPSA level, PSAD and PI-RADS score were significantly higher, while the free PSA (fPSA) level, f/tPSA ratio and prostate volume remarkably lower in the CSPCa than in the non-CSPCa group (P<0.05). The areas under the curve (AUCs) of PSAD, PI-RADS score and their combination were 0.772, 0.730 and 0.801, with sensitivities of 63.63%, 70.45% and 72.73%, and specificities of 84.10%, 75.62% and 83.75%, respectively (P<0.01). With PSAD 0.2 μg/(ml·cm3) as the best cut-off value and based on the PI-RADS scores, the patients were divided into two groups for analysis. In the patients with PI-RADS scores 2 and 5, the AUCs were 0.534 and 0.643, with sensitivities of 16.67% and 63.64%, and specificities of 85.14% and 64.29%, with no statistically significant differences (P= 0.784, P= 0.228), and in those with PI-RADS scores 3 and 4, the AUCs were 0.794 and 0.843, with sensitivities of 57.14% and 80.00%, and specificities of 87.14% and 81.82%, with statistically significant differences (P= 0.009, P<0.001). CONCLUSION PI-RADS v2.1 score combined with PSAD can effectively improve the diagnostic efficiency of CSPCa in the PSA grey zone by MRI-TRUS cognitive fusion-guided transperineal targeted prostate biopsy and serve as a guide for selection of prostate biopsy.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Retrospective Studies ; Prostate-Specific Antigen ; Magnetic Resonance Imaging ; Image-Guided Biopsy ; Prostate/pathology* ; Aged ; Middle Aged