OBJECTIVE To conduct a clinical comprehensive evaluation of five marketed thrombopoietin receptor agonists （TPO-RA） approved in China， providing quantitative evidence for drug selection and therapeutic decision-making in medical institutions. METHODS Relevant data on Romiplostim for injection， Eltrombopag olamine tablets， Herombopag olamine tablets， Avatrombopag maleate tablets， and Lusutrombopag tablets were collected. Based on the Chinese Rapid Guide for Drug Evaluation and Selection in Medical Institutions （Second Edition）， 12 formulations of these five TPO-RA were scored quantitatively and comparatively across five dimensions： pharmacological characteristics， efficacy， safety， cost-effectiveness， and other attributes. RESULTS The comprehensive scores of the 12 formulations ranged from 62.56 to 75.50 points， with most scoring ≥70 points. Using the highest-scoring formulation for each generic name as a representative， the overall rankings of the five TPO-RA were as follows： Lusutrombopag tablets （75.50 points）， Eltrombopag olamine tablets （75.10 points）， Avatrombopag maleate tablets （70.40 points）， Romiplostim for injection （63.93 points）， and Herombopag olamine tablets （63.52 points）. Lusutrombopag tablets scored relatively high in pharmacological characteristics， safety， and cost-effectiveness， while Eltrombopag olamine tablets performed well in efficacy and cost-effectiveness. The other formulations showed varying scores across evaluation dimensions. CONCLUSIONS The five TPO-RA demonstrate favorable overall clinical value， with Lusutrombopag tablets and Eltrombopag olamine tablets ranking higher in comprehensive scores， these two drugs should be prioritized in drug selection and formula optimization by medical institutions.

Radiotherapy is main method in treating cervical cancer,and the rapid advancement of artificial intelligence(AI)technique is providing entirely new solutions for radiotherapy for cervical cancer.The AI means that is represented by deep learning is deeply integrating into the whole process of diagnosis,treatment and management for cervical cancer,which can promote intelligent and precise development of radiotherapy workflows.Currently,the applied cores of AI in radiotherapy for cervical cancer include image registration,target delineation,optimization of radiotherapy planning and risk assessment,which can significantly enhance efficiency and precision of treatment.But,AI is facing some challenges in clinical applications include data quality,and algorithm's robustness and interpretability at the same time.Depended on the above analyses,this paper systematically reviewed the frontier applications and progress in practice of AI in radiotherapy for cervical cancer,which especially analyzed technical advantages and limitations of AI in key link,and explored its development path and coping strategy in clinical promotion and standard application in future.It is purpose to provide theoretical references for clinical practice of precise and accurate radiotherapy for cervical cancer.

Objectives:This study aimed to explore the association between perceived mental stress (MS), lymphocyte subset variations, and coronary lesion severity in patients with coronary artery disease (CAD).Methods:Patients with CAD were enrolled in this study from September 2023 to May 2024. Perceived Stress Scale-14 (PSS-14) was used to evaluate MS during the last 1 month. Lymphocyte subsets were analyzed, including the percentage and absolute counts of CD3 +, CD3 +CD4 +, CD3 +CD8 +, CD3 -CD19 +, CD3 -CD56 +16 +, and the Th/Ts ratio. Statistical analysis was conducted using SPSS 24.0. Results:This study recruited patients with 323 CAD, with an average age of 61 (56, 68) years, including 203 males and 120 females. According to the PSS-14, a score of 14-42 and 43-70 were categorized as normal and increased MS, respectively. Patients with CAD with increased MS had significantly higher Gensini scores than those with normal MS [37(19,64) vs. 28(12,50), Z=-2.19, P=0.029]. Male CAD patients with increased MS exhibited significantly higher Gensini scores [39(20, 58) vs. 26(12, 45), Z=-2.37, P=0.018], levels of CD3 +CD8 +%[28.3%(23.6%,36.6%) vs. 25.9%(21.0%,32.4%), Z=-2.05, P=0.041], and CD3 +CD8 +absolute value [485 (346, 675) vs. 396 (309, 510) cells/μl, Z=-2.55, P=0.011] than those with normal MS. In male patients with CAD, a positive correlation was observed between Gensini scores (correlation coefficient: 0.181, P=0.011), PSS-14 scores, and CD3 +CD8 +absolute value (correlation coefficient: 0.162, P=0.038). Conclusion:This study reveals a positive correlation between MS and coronary stenosis severity, with notable sex differences. In male patients with CAD, higher levels of MS are associated with more severe coronary stenosis. The potential underlying mechanism may involve the regulation of lymphocyte subsets .

OBJECTIVES: We propose a Contrastive Regional Attention and Prior Knowledge-Infused U-Transformer model (CRAKUT) to address the challenges of imbalanced text distribution, lack of contextual clinical knowledge, and cross-modal information transformation to enhance the quality of generated radiology reports. METHODS: The CRAKUT model comprises 3 key components, including an image encoder that utilizes common normal images from the dataset for extracting enhanced visual features, an external knowledge infuser that incorporates clinical prior knowledge, and a U-Transformer that facilitates cross-modal information conversion from vision to language. The contrastive regional attention in the image encoder was introduced to enhance the features of abnormal regions by emphasizing the difference between normal and abnormal semantic features. Additionally, the clinical prior knowledge infuser within the text encoder integrates clinical history and knowledge graphs generated by ChatGPT. Finally, the U-Transformer was utilized to connect the multi-modal encoder and the report decoder in a U-connection schema, and multiple types of information were used to fuse and obtain the final report. RESULTS: We evaluated the proposed CRAKUT model on two publicly available CXR datasets (IU-Xray and MIMIC-CXR). The experimental results showed that the CRAKUT model achieved a state-of-the-art performance on report generation with a BLEU-4 score of 0.159, a ROUGE-L score of 0.353, and a CIDEr score of 0.500 in MIMIC-CXR dataset; the model also had a METEOR score of 0.258 in IU-Xray dataset, outperforming all the comparison models. CONCLUSIONS The proposed method has great potential for application in clinical disease diagnoses and report generation.
Humans ; Radiology Information Systems ; Radiology

Radiotherapy is main method in treating cervical cancer,and the rapid advancement of artificial intelligence(AI)technique is providing entirely new solutions for radiotherapy for cervical cancer.The AI means that is represented by deep learning is deeply integrating into the whole process of diagnosis,treatment and management for cervical cancer,which can promote intelligent and precise development of radiotherapy workflows.Currently,the applied cores of AI in radiotherapy for cervical cancer include image registration,target delineation,optimization of radiotherapy planning and risk assessment,which can significantly enhance efficiency and precision of treatment.But,AI is facing some challenges in clinical applications include data quality,and algorithm's robustness and interpretability at the same time.Depended on the above analyses,this paper systematically reviewed the frontier applications and progress in practice of AI in radiotherapy for cervical cancer,which especially analyzed technical advantages and limitations of AI in key link,and explored its development path and coping strategy in clinical promotion and standard application in future.It is purpose to provide theoretical references for clinical practice of precise and accurate radiotherapy for cervical cancer.

Objectives:This study aimed to explore the association between perceived mental stress (MS), lymphocyte subset variations, and coronary lesion severity in patients with coronary artery disease (CAD).Methods:Patients with CAD were enrolled in this study from September 2023 to May 2024. Perceived Stress Scale-14 (PSS-14) was used to evaluate MS during the last 1 month. Lymphocyte subsets were analyzed, including the percentage and absolute counts of CD3 +, CD3 +CD4 +, CD3 +CD8 +, CD3 -CD19 +, CD3 -CD56 +16 +, and the Th/Ts ratio. Statistical analysis was conducted using SPSS 24.0. Results:This study recruited patients with 323 CAD, with an average age of 61 (56, 68) years, including 203 males and 120 females. According to the PSS-14, a score of 14-42 and 43-70 were categorized as normal and increased MS, respectively. Patients with CAD with increased MS had significantly higher Gensini scores than those with normal MS [37(19,64) vs. 28(12,50), Z=-2.19, P=0.029]. Male CAD patients with increased MS exhibited significantly higher Gensini scores [39(20, 58) vs. 26(12, 45), Z=-2.37, P=0.018], levels of CD3 +CD8 +%[28.3%(23.6%,36.6%) vs. 25.9%(21.0%,32.4%), Z=-2.05, P=0.041], and CD3 +CD8 +absolute value [485 (346, 675) vs. 396 (309, 510) cells/μl, Z=-2.55, P=0.011] than those with normal MS. In male patients with CAD, a positive correlation was observed between Gensini scores (correlation coefficient: 0.181, P=0.011), PSS-14 scores, and CD3 +CD8 +absolute value (correlation coefficient: 0.162, P=0.038). Conclusion:This study reveals a positive correlation between MS and coronary stenosis severity, with notable sex differences. In male patients with CAD, higher levels of MS are associated with more severe coronary stenosis. The potential underlying mechanism may involve the regulation of lymphocyte subsets .

The management of antibiotic-resistant, bacterial biofilm infections in skin wounds poses an increasingly challenging clinical scenario. Pseudomonas aeruginosa infection is difficult to eradicate because of biofilm formation and antibiotic resistance. In this study, we identified a new benzothiazole derivative compound, SN12 (IC₅₀ = 43.3 nmol/L), demonstrating remarkable biofilm inhibition at nanomolar concentrations in vitro. In further activity assays and mechanistic studies, we formulated an unconventional strategy for combating P. aeruginosa-derived infections by targeting the two-component (Gac/Rsm) system. Furthermore, SN12 slowed the development of ciprofloxacin and tobramycin resistance. By using murine skin wound infection models, we observed that SN12 significantly augmented the antibacterial effects of three widely used antibiotics-tobramycin (100-fold), vancomycin (200-fold), and ciprofloxacin (1000-fold)-compared with single-dose antibiotic treatments for P. aeruginosa infection in vivo. The findings of this study suggest the potential of SN12 as a promising antibacterial synergist, highlighting the effectiveness of targeting the two-component system in treating challenging bacterial biofilm infections in humans.

Vascular dementia (VaD) is the second commonest type of dementia which lacks of efficient treatments currently. Neuroinflammation as a prominent pathological feature of VaD, is highly involved in the development of VaD. In order to verify the therapeutic potential of PDE1 inhibitors against VaD, the anti-neuroinflammation, memory and cognitive improvement were evaluated in vitro and in vivo by a potent and selective PDE1 inhibitor 4a. Also, the mechanism of 4a in ameliorating neuroinflammation and VaD was systematically explored. Furthermore, to optimize the drug-like properties of 4a, especially for metabolic stability, 15 derivatives were designed and synthesized. As a result, candidate 5f, with a potent IC₅₀ value of 4.5 nmol/L against PDE1C, high selectivity over PDEs, and remarkable metabolic stability, efficiently ameliorated neuron degeneration, cognition and memory impairment in VaD mice model by suppressing NF-κB transcription regulation and activating cAMP/CREB axis. These results further identified PDE1 inhibition could serve as a new therapeutic strategy for treatment of VaD.

The effect of vitamin D supplementation on individuals with autism spectrum disorder (ASD) is inconclusive. We aimed to conduct a meta-analysis of the available randomized controlled trials (RCTs) to explore whether vitamin D supplementation can improve core symptoms and coexisting conditions in children with ASD. Data were obtained by searching the PubMed, Embase, Web of Science, CINAHL and Cochrane Library databases up to February 2022 following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Using a random-effects model, mean differences with 95% confidence intervals (CIs) were calculated through a meta-analysis. There were eight RCTs with 266 children with ASD in the present review, among which six RCTs were included in the meta-analysis.Children who received vitamin D supplementation showed a significant improvement in stereotypical behavior scores (pooled mean difference (MD): −1.39; 95% CI: −2.7, −0.07; p = 0.04) with low heterogeneity (I2 = 34%), and there was a trend toward decreased total scores on the Social Responsiveness Scale (SRS) and Childhood Autism Rating Scale (CARS, p = 0.05); however, there were no other significant differences in the core symptoms of ASD and coexisting conditions between groups as measured by the Aberrant Behavior Checklist (ABC). Vitamin D supplementation appears to improve stereotypical behaviors but does not improve other core symptoms and coexisting conditions. Further randomized controlled trials with large sample sizes and individualized doses are needed.

Objective: To investigate the management knowledge and attitudes of dysphagia in stroke patients in Nanning neurology nurses, and to provide evidence for clinical knowledge training and improvement of clinical nursing quality. Methods: A total of 360 neurology nurses from 7 different levels of hospitals in Nanning were investigated for knowledge and attitudes about stroke dysphagia management. Results: The average score of management knowledge of neurological nurses was 54.52±15.51, and the average score of attitude was 45.12±3.90. There was significant difference in the knowledge score of nurses from different hospital level, ages and titles (t=-1.007, P=0.035; F=3.994, P=0.009; F=0.347, P=0.002). There was significant difference in the attitudes score of nurses from different ages and titles (t=7.435, P=0.007); 61.1% (220/360) of nurses did not learn stroke management guidelines for dysphagia; 60%(216/360) of nurses administered dysphagia were based on their own experience, 73.9%(266/360) of nurses believe that the reason for hindering their own swallowing management is the lack of relevant knowledge and skills. Conclusions Neurology nurses have a positive attitude towards stroke management of dysphagia, but lack of knowledge. Nurses with low age, low professional title and low working years have poor knowledge of management of stroke dysphagia. Nursing managers should carry out targeted training for nurses, provide more education and training opportunities to improve the knowledge and service quality of nurses with dysphagia.