Objective To analyze drug resistance and clustering of environmental and clinical isolates of Acinetobacter baumannii (A. baumannii) in ICU of a medical institution in Shanghai. Methods The isolates of A. baumannii from ICU environments and clinic were used to analyze the contamination and distribution in 2021-2024. Antimicrobial susceptibility testing was carried out with microbroth dilution method. Whole genome sequencing was performed out of strains for MLST typing and SNP clustering. Results The detection rate of contamination in ICU environment was 7.67%, and the most serious contamination was found in pillows, bedding, hospital gowns and other items that patients directly contacted. Clinical isolates were predominantly from sputum specimens. The environmental and clinical isolates had a high level of resistance to third generation cephalosporins, third generation quinolones and carbapenems (more than 85%). Environmental isolates had a low level of resistance to polymyxin B, but none of the clinical isolates were resistant. MLST typing showed that ST2 was the dominant clone (66.67%), and SNP clustering found that isolates from different sources but with the same ST type were clustered together. Conclusion ST2 is the dominant clone of A. baumannii isolates in this medical institution, and there is cross-contamination between different samples. Monitoring of drug resistance and disinfection should be further strengthened to prevent the emergence and spread of pan-resistant or even fully resistant strains.

With the integration of 5G communication technology and robotic surgical systems, remote robot-assisted thoracic surgery is overcoming geographical barriers, offering an innovative approach to addressing the uneven distribution of medical resources. This study conducted a systematic literature review—using databases such as PubMed and CNKI, with the search period extending up to 2025—incorporating clinical studies, case reports, and review articles to comprehensively evaluate the clinical efficacy and safety of 5G-enabled remote robot-assisted thoracic surgery (5G-RRATS). The analysis also examined current technological limitations and potential future development trajectories. Existing evidence indicates that, given adequate technical support, 5G-RRATS can achieve perioperative outcomes comparable to those of conventional local robotic surgeries across procedures including pulmonary wedge resection, lobectomy, and esophagectomy. Furthermore, it demonstrates potential advantages in minimizing surgical incisions and reducing intraoperative blood loss. Nevertheless, challenges related to network stability, latency control, interdisciplinary collaboration between medical and engineering teams, and legal, regulatory, and ethical considerations continue to hinder widespread clinical adoption. Looking ahead, the emergence of a "one-to-many" remote surgical model, combined with the integration of artificial intelligence and augmented reality technologies, as well as advancements in low-orbit satellite communications, may enable 5G-RRATS to further advance precision and efficiency in thoracic surgery, thereby facilitating equitable access to high-quality care for a broader patient population.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

BACKGROUND:Platelet-rich plasma is an important material for tissue repair and is widely used in orthopedics,wound repair,plastic surgery and other fields.The device for preparing platelet-rich plasma has become a hot spot in the field of patent applications.OBJECTIVE:To analyze the trend of patent applications for platelet-rich plasma separation devices at home and abroad.METHODS:Using the patent retrieval system of China National Intellectual Property Administration,Patsnap and Himpat patent databases,we searched the patent literature of platelet-rich plasma separation devices,and analyzed the patent application trend of platelet-rich plasma separation devices from the aspects of patent application volume,licensing rate,technical theme,typical applicant patent layout,etc.The patent retrieval system of China National Intellectual Property Administration was developed by the China National Intellectual Property Administration and includes patent data from 103 countries,regions and organizations.The Patsnap patent database was developed by PatSnap,Singapore and has 120 million patent data from more than 100 countries,providing multi-language translation and multi-language search.The Himpat patent database was developed by Himpat,China and includes more than 160 million patents from 123 countries/organizations/regions around the world since 1800,and is translated into high-fidelity Chinese and English versions,and is updated twice a week.RESULTS AND CONCLUSION:The patent application for platelet-rich plasma separation devices in China started about 10 years later than abroad,and the number of patent applications in China has sharply increased since 2017.The trend of patent applications abroad is relatively stable.Most domestic and foreign patent applications are in the stage of authorization and maintenance,with enterprises being the main applicants.The classification of platelet-rich plasma devices on the market is very confusing.In this study,they are divided into nine subcategories based on device structure.Chinese patent applications mainly focus on separation cylinder devices,while foreign applications focus on automated separation devices.China should be market-oriented and technology oriented,develop innovative platelet-rich plasma devices,lay out global patent layouts,and promote the development of China's medical device industry.

The primary role of transfer RNA(tRNA)is to connect a specific amino acid to its 3' end, use its anticodon to match the codon on messenger RNA(mRNA), and deliver the corresponding amino acid to the ribosome for protein synthesis.tRNA exists in two forms: precursor tRNA and mature tRNA.When acted upon by enzymes like Dicer, elaC ribonuclease Z 2(ELAC2), angiopoietin(ANG), and other ribonucleases, tRNA is broken down into tRNA-derived stress-induced RNA(tiRNA)and tRNA-derived fragments(tRF).Recent advancements in RNA sequencing technology have led to increased interest in tiRNA and tRF, shedding light on their roles in various physiological and pathological processes.tRNA-derived small molecules(tsRNA)function similarly to microRNA(miRNA), influencing gene expression and protein synthesis.They show promise as diagnostic markers and potential therapeutic targets for age-related diseases.This review offers a comprehensive analysis of tsRNA classification, biological functions, research advancements, and clinical applications in age-related conditions.

Objective:To evaluate the effectiveness and safety of allogeneic hematopoietic stem cell transplantation (allo-HSCT) in children with stage 4/M neuroblastoma (NB).Methods:This study was a prospective, single-arm, multicenter clinical trial conducted by Sun Yat-sen Memorial Hospital, Children′s Hospital of Nanjing Medical University, Children′s Hospital, Zhejiang University School of Medicine, the First Affiliated Hospital of Guangxi Medical University, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine. From March, 2019 to August, 2023, 25 children with confirmed with stage 4/M NB and received allo-HSCT were enrolled. The patients received either unrelated cord blood transplantation (UCBT) or peripheral blood stem cell transplantation (PBSCT). Conditioning regimens for UCBT was fludarabine+busulfan+cyclophosphamide+topotecan, and for PBSCT was fludarabine+busulfan+melphalan+thiotepa+antithymocyte globulin, respectively. Until the last follow-up date of September, 2023, the overall survival (OS) rate and event free survival (EFS) rate were analyzed to evaluate efficacy. The engraftment rate and transplant-related complications were statistically assessed to evaluate safety. Survival analysis was performed using the Kaplan-Meier method.Results:Of the 25 patients, there were 15 males and 10 females. The age at transplantation was 5.7 (3.8, 7.3) years. The engraft rate was 100%, with recovery time of neutrophil as 15.7 (12.5, 17.0) d, and the recovery time of platelets as 33.5 (18.0, 48.0) d. Seventeen of the 25 children (68%) developed acute graft versus host disease (aGVHD), occurred at 18.0 (13.0, 22.5) d after transplantation, including 13 of grade Ⅲ-Ⅳ cases. The main sites of aGVHD were skin and intestinal tract. After treatment, 13 cases improved, 4 patients developed chronic graft-versus-host disease (cGVHD). After allo-HSCT, 14 children received maintenance therapy. Twenty of the 25 patients survived, the 2-year cumulative OS rate was (80±9)%, and 2-year EFS rate was (56±11)%. Nine cases (36%) relapsed, the time from allo-HSCT to disease relapse was 10.9 (5.5, 16.0) months. Five cases (20%) died. The hematopoietic stem cell transplantation associated mortality rate was 4% (1/25).The 2-year OS rate of patients who had partial remission prior to allo-HSCT was significant lower than those who had complete remission prior to allo-HSCT ((33±25)% vs. 100%, P=0.037). Conclusion:allo-HSCT is an effective treatment for patients with stage 4/M NB.