BACKGROUND: Neoadjuvant chemoradiotherapy followed by radical surgery has been a common practice for patients with locally advanced rectal cancer, but the response rate varies among patients. This study aimed to develop a ResNet-Vision Transformer based magnetic resonance imaging (MRI)-endoscopy fusion model to precisely predict treatment response and provide personalized treatment. METHODS: In this multicenter study, 366 eligible patients who had undergone neoadjuvant chemoradiotherapy followed by radical surgery at eight Chinese tertiary hospitals between January 2017 and June 2024 were recruited, with 2928 pretreatment colonic endoscopic images and 366 pelvic MRI images. An MRI-endoscopy fusion model was constructed based on the ResNet backbone and Transformer network using pretreatment MRI and endoscopic images. Treatment response was defined as good response or non-good response based on the tumor regression grade. The Delong test and the Hanley-McNeil test were utilized to compare prediction performance among different models and different subgroups, respectively. The predictive performance of the MRI-endoscopy fusion model was comprehensively validated in the test sets and was further compared to that of the single-modal MRI model and single-modal endoscopy model. RESULTS: The MRI-endoscopy fusion model demonstrated favorable prediction performance. In the internal validation set, the area under the curve (AUC) and accuracy were 0.852 (95% confidence interval [CI]: 0.744-0.940) and 0.737 (95% CI: 0.712-0.844), respectively. Moreover, the AUC and accuracy reached 0.769 (95% CI: 0.678-0.861) and 0.729 (95% CI: 0.628-0.821), respectively, in the external test set. In addition, the MRI-endoscopy fusion model outperformed the single-modal MRI model (AUC: 0.692 [95% CI: 0.609-0.783], accuracy: 0.659 [95% CI: 0.565-0.775]) and the single-modal endoscopy model (AUC: 0.720 [95% CI: 0.617-0.823], accuracy: 0.713 [95% CI: 0.612-0.809]) in the external test set. CONCLUSION The MRI-endoscopy fusion model based on ResNet-Vision Transformer achieved favorable performance in predicting treatment response to neoadjuvant chemoradiotherapy and holds tremendous potential for enabling personalized treatment regimens for locally advanced rectal cancer patients.
Humans ; Rectal Neoplasms/diagnostic imaging* ; Magnetic Resonance Imaging/methods* ; Male ; Female ; Middle Aged ; Neoadjuvant Therapy/methods* ; Aged ; Adult ; Chemoradiotherapy/methods* ; Endoscopy/methods* ; Treatment Outcome

PURPOSE: This study aims to identify the prevalence and risk factors of military training-related abdominal injuries and help plan and conduct training properly. METHODS: This questionnaire survey study was conducted from October 2021 to May 2022 among military personnel from 6 military units and 8 military medical centers and participants' medical records were consulted to identify the training-related abdominal injuries. All the military personnel who ever participated in military training were included. Those who refused to participate in this study or provided an incomplete questionnaire were excluded. The questionnaire collected demographic information, type of abdominal injury, frequency, training subjects, triggers, treatment, and training disturbance. Chi-square test and t-test were used to compare baseline information. Univariate and multivariate regression analyses were used to explore the risk factors associated with military training-related abdominal injuries. RESULTS: A total of 3058 participants were involved in this study, among which 1797 (58.8%) had suffered training-related abdominal injuries (the mean age was 24.3 years and the service time was 5.6 years), while 1261 (41.2%) had no training-related abdominal injuries (the mean age was 23.1 years and the service time was 4.3 years). There were 546 injured patients (30.4%) suspended the training and 84 (4.6%) needed to be referred to higher-level hospitals. The most common triggers included inadequate warm-up, fatigue, and intense training. The training subjects with the most abdominal injuries were long-distance running (589, 32.8%). Civil servants had the highest rate of abdominal trauma (17.1%). Age ≥ 25 years, military service ≥ 3 years, poor sleep status, and previous abdominal history were independent risk factors for training-related abdominal injury. CONCLUSION More than half of the military personnel have suffered military training-related abdominal injuries. Inadequate warm-up, fatigue, and high training intensity are the most common inducing factors. Scientific and proper training should be conducted according to the factors causing abdominal injuries.
Humans ; Military Personnel ; Risk Factors ; Prevalence ; Male ; Abdominal Injuries/etiology* ; Female ; Adult ; Surveys and Questionnaires ; Young Adult

PURPOSE: To evaluate the diagnostic accuracy of the observational chart for traumatic limb swelling (OCTLS) for osteofascial compartment syndrome (OCS). METHODS: This was a descriptive-longitudinal study. Data of 316 patients who underwent surgical treatment for tibial fractures in our department from January 2015 to December 2023 were collected. Patients with Gustilo type II or higher open fractures, vascular injury, or bilateral fractures were excluded from the study. Two groups of double-blinded investigators independently assessed patients for the presence of OCS using 2 distinct diagnostic methods. Three senior orthopedic trauma surgeons evaluated patients with post-fracture calf swelling for OCS and the need for fasciotomy based on clinical signs and their extensive clinical experience. Subsequently, fasciotomy was performed according to their judgment, followed by postoperative examination of muscle and soft tissue conditions. Additionally, a follow-up evaluation was conducted to assess for complications such as ischemic muscle contracture. Another 3 trained researchers used OCTLS to grade swelling severity and determine the need for fasciotomy. The final diagnostic gold standard of OCS was determined by referring to whether there was escape of muscles at fasciotomy and/or color change in the muscles or muscle necrosis intraoperatively, and neurological abnormality or contracture at the last follow-up. The results of the 2 diagnostic methods were compared with the final diagnostic result. Kappa consistency test, paired χ² test (McNemar test), and receiver operating characteristic curve were used to evaluate the diagnostic efficacy of the 2 diagnostic methods. RESULTS: Of the 316 patients, 211 were finally included in the study, including 160 males and 51 females, with an average follow-up time of (14.5 ± 2.7) months. Among the 211 patients with tibial fracture-associated swelling, 42 were definitively diagnosed with OCS. Based on clinical symptoms and signs judgment, among the 65 fasciotomy patients, 38 were confirmed as correct, while among the 146 non-fasciotomy patients, 4 developed ischemic muscle contractures. Based on the OCTLS for assessment, fasciotomy was correctly recommended in 36 out of 43 cases, while 6 out of 168 non-fasciotomy patients developed OCS. Compared to the use of the gold standard, clinical signs judgment showed moderate consistency (McNemar's test p < 0.001, Kappa = 0.618, p < 0.001), whereas OCTLS demonstrated strong agreement (McNemar's test p = 1.000, Kappa = 0.808, p < 0.001). Receiver operating characteristic analysis revealed higher diagnostic accuracy for OCTLS (area under curve = 0.908, 95% CI: 0.843 - 0.972) compared to clinical signs judgment (area under curve = 0.872, 95% CI: 0.812 - 0.933). OCTLS achieved superior accuracy (93.8% vs. 85.3%, χ² = 8.221, p < 0.001) and a lower fasciotomy rate (20.4% vs. 30.8%, χ² = 6.023, p = 0.014). CONCLUSION Compared to clinical signs judgment, OCTLS significantly reduces unnecessary fasciotomy, improves diagnostic accuracy for OCS, and enables non-invasive, dynamic, and quantitative assessment, making it a valuable tool for clinical practice.
Humans ; Compartment Syndromes/etiology* ; Male ; Female ; Adult ; Tibial Fractures/surgery* ; Middle Aged ; Fasciotomy ; Edema/etiology* ; Longitudinal Studies ; Aged ; Young Adult

OBJECTIVE: To investigate the efficacy and safety of transurethral water vapor thermal therapy (WVTT) using the Rezūm system for benign prostatic hyperplasia (BPH) in the real world. METHODS: A total of 181 patients with BPH were recruited from the Second Affiliated Hospital of Nanjing Medical University from August 2022 to December 2023, of whom 173 patients were treated with WVTT using the Rezūm system, while 8 patients were treated with WVTT combined with TURP. They were followed up at 1, 3, and 6 months postoperatively to assess changes in the IPSS, QoL, Qmax, IIEF-5, and the occurrence of any complications. Results： All 181 surgeries in this group were successfully completed. The operation time of the Rezūm system was (4.6 ± 1.4) minutes. The postoperative indwelling catheterization time was (8.0 ± 2.1) days. With a follow-up of at least 6 months, there was a significant decrease in PV, IPSS and QoL, and a remarkable increase had been found in Qmax as well (P<0.05). There was no significant difference in IIEF-5 before and after the operation (P>0.05). In this groups of patients, postoperative complications mainly included 95 cases (52.5%) of gross hematuria, 6 cases (3.3%) of retrograde ejaculation, 5 cases (2.8%) of urethral stricture, 4 cases (2.2%) of prostatitis, and 10 cases (5.5%) of urinary tract infection. Four cases (2.2%) underwent surgical retreatment for BPH after surgery. CONCLUSION In the real world, the use of Rezūm thermal steam ablation system for the treatment of BPH has satisfactory short-term effect, short surgical time, and significant improvement in IPSS, QoL, Qmax, which does not adversely affect sexual function.
Humans ; Male ; Prostatic Hyperplasia/therapy* ; Transurethral Resection of Prostate ; Steam ; Treatment Outcome ; Quality of Life ; Aged ; Middle Aged

In protein engineering, while computational models are increasingly used to predict mutation effects, their evaluations primarily rely on high-throughput deep mutational scanning (DMS) experiments that use surrogate readouts, which may not adequately capture the complex biochemical properties of interest. Many proteins and their functions cannot be assessed through high-throughput methods due to technical limitations or the nature of the desired properties, and this is particularly true for the real industrial application scenario. Therefore, the desired testing datasets, will be small-size (∼10-100) experimental data for each protein, and involve as many proteins as possible and as many properties as possible, which is, however, lacking. Here, we present VenusMutHub, a comprehensive benchmark study using 905 small-scale experimental datasets curated from published literature and public databases, spanning 527 proteins across diverse functional properties including stability, activity, binding affinity, and selectivity. These datasets feature direct biochemical measurements rather than surrogate readouts, providing a more rigorous assessment of model performance in predicting mutations that affect specific molecular functions. We evaluate 23 computational models across various methodological paradigms, such as sequence-based, structure-informed and evolutionary approaches. This benchmark provides practical guidance for selecting appropriate prediction methods in protein engineering applications where accurate prediction of specific functional properties is crucial.

General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments. Traditional assessment methods, relying on physiological indicators or behavioral responses, fall short of accurately capturing the nuanced states of unconsciousness. This study introduces a machine learning-based approach to decode anesthesia depth, leveraging EEG data across different anesthesia states induced by propofol and esketamine in rats. Our findings demonstrate the model's robust predictive accuracy, underscored by a novel intra-subject dataset partitioning and a 5-fold cross-validation method. The research diverges from conventional monitoring by utilizing anesthetic infusion rates as objective indicators of anesthesia states, highlighting distinct EEG patterns and enhancing prediction accuracy. Moreover, the model's ability to generalize across individuals suggests its potential for broad clinical application, distinguishing between anesthetic agents and their depths. Despite relying on rat EEG data, which poses questions about real-world applicability, our approach marks a significant advance in anesthesia monitoring.
Animals ; Machine Learning ; Electroencephalography/methods* ; Ketamine/administration & dosage* ; Rats ; Male ; Propofol/administration & dosage* ; Rats, Sprague-Dawley ; Anesthesia, General/methods* ; Brain/physiology* ; Intraoperative Neurophysiological Monitoring/methods*

Lipopolysaccharides (LPS) are major outer membrane components of Gram-negative bacteria. Unlike most Gram-negative bacteria, Acinetobacter baumannii can still survive and acquire polymyxin resistance after complete loss of LPS. Previous studies of LPS-deficient Acinetobacter baumannii mostly focused on LPS-deficient strains induced by polymyxin, whose background was complex and unstable. To investigate LPS loss-mediated polymyxin resistant-Acinetobacter baumannii, this study constructed a stable and clear background LPS-deficient strain by knocking out lpxC gene in Acinetobacter baumannii ATCC 19606 with CIRSPR/Cas9, and then studied the phenotypic changes of the lpxC-deficient strain including morphology, growth rate, antibiotic susceptibility, virulence, membrane permeability, and membrane potential. Animal experiments were approved by the Animal Care and Welfare Committee Institute of Medicinal Biotechnology, CAMS and PUMC (approval number: IMB-20240119D₉). The results indicated that the lpxC gene of Acinetobacter baumannii ATCC 19606 was successfully knocked out. After losing the lpxC, the strain underwent the morphological change from rod-shaped to spherical. Furthermore, it leads to reduced growth rate, enhanced membrane permeability, decreased membrane potential, lower virulence, and increased antibiotic susceptibility to β-lactams, quinolones, aminoglycosides, macrolides, glycopeptides. The lpxC deletion results in significant changes in membrane homeostasis and adaptability of Acinetobacter baumannii. Understanding the phenotypic changes of colistin-resistant Acinetobacter baumannii mediated by LPS loss is useful for exploring the resistance mechanism of Acinetobacter baumannii and developing new therapeutic strategies.

Objective To explore the effect of shikonin on the recovery of nerve function after acute spinal cord injury(SCI)in rats.Methods 96 male Sprague-Dawley(SD)rats were divided into 4 groups randomly:sham operation group(Group A),sham operation+shikonin group(Group B),SCI+DMSO(Group C),SCI+shikonin group(Group D).The acute SCI model of rats was made by clamp method in groups C and D.After subdural catheterization,no drug was given in group A.rats in groups B and D were injected with 100 mg·kg-1 of shikonin through catheter 30 min after modeling,and rats in group C were given with the same amount of DMSO,once a day until the time point of collection tissue.Basso-Beattie-Bresnahan(BBB)scores were performed on 8 rats in each group at 6,12,and 3 d after moneling,and oblique plate tests were performed on 1,3,7 and 14 d after modeling,and then spinal cord tissues were collected.Eight rats were intraperitoneally injected with propidine iodide(PI)1 h before sacrificed to detection PI positive cells at 24 h in each group.Eight rats were sacrificed in each group at 24 h after modeling,the spinal cord injury was observed by HE staining.The Nissl staining was used to observe survivor number of nerve cells.Western-blot technique was used to detect the expression levels of Bcl-2 protein and apoptosis related protein RIPK1.Results After modeling,BBB scores were normal in group A and B,but in group C and D were significantly higher than those in group A and B.And the scores in group D were higher than those in group C in each time point(P＜0.05).At 12 h after modeling,the PI red stained cells in group D were significantly reduced compared with that in group C,and the disintegration of neurons was alleviated(P＜0.05).HE and Nissl staining showed nerve cells with normal morphology in group A and B at 24h after operation.The degree of SCI and the number of neuronal survival in group D were better than those in group C,the differ-ence was statistically significant at 24h(P＜0.05).The expression of Bcl-2 and RIPK1 proteins was very low in group A and B;The expression of RIPK1 was significantly increased in Group C and decreased in Group D,with a statistically significant dif-ference(P＜0.05);The expression of Bcl-2 protein in group D was significantly higher than that in group C(P＜0.05).Conclu-sion Shikonin can alleviate the pathological changes after acute SCI in rats,improve the behavioral score,and promote the re-covery of spinal nerve function.The specific mechanism may be related to the inhibition of TNFR/RIPK1 signaling pathway mediated necrotic apoptosis.

Improving the reproducibility of biomedical research results is a major challenge. Transparent and accurate reporting of the research process enables readers to evaluate the reliability of the research results and further explore the experiment by repeating it or building upon its findings. The ARRIVE 2.0 guidelines, released in 2019 by the UK National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC3Rs), provide a checklist that is applicable to any in vivo animal research report. These guidelines aim to improve the standardization of experimental design, implementation, and reporting, as well as enhance the reliability, repeatability, and clinical translation of animal experimental results. The use of the ARRIVE 2.0 guidelines not only enriches the details of animal experimental research reports, ensuring that information on animal experimental results is fully evaluated and utilized, but also enables readers to understand the content expressed by the author accurately and clearly, promoting the transparency and completeness of the fundamental research review process. At present, the ARRIVE 2.0 guidelines have been widely adopted by international biomedical journals. This article is based on the best practices following the ARRIVE 2.0 guidelines in international journals, and it interprets, explains, and elaborates in Chinese the fifth part of the comprehensive version of the ARRIVE 2.0 guidelines published in PLoS Biology in 2020 (the original text can be found at https://arriveguidelines.org). This section includes the items 6-11 of Recommended 11 section, covering "Animal Care and Monitoring", "Interpretation/Scientific Implications", "Generalisability/Translation", "Protocol Registration", "Data Access" and "Declaration of Interests". Its aim is to promote a comprehensive understanding and use of the ARRIVE 2.0 guidelines among domestic researchers, to enhance the standardization of experimental animal research and reporting, and to promote high-quality development of experimental animal sciences and comparative medicine research in China.

Objective To establish a county-level trauma treatment model,designed to prioritize efficiency and guided by a multidisciplinary approach for emergency green channels.Methods Adhering to the Consensus of Experts on the Construc-tion and Management of Trauma Centers in Municipal Comprehensive Hospitals(2020),and using the trauma center creation plan from Guangdong Province as a reference,we established a county-level trauma center,leveraging its strengths and unique at-tributes,with the emergency department as its core.Results The application of information technology facilitated the establish-ment of a two-way referral information platform and a three-tiered diagnosis and treatment system for county medical communities,thereby enhancing the efficiency and quality of healthcare.The implementation of the emergency green channel multidisciplinary treatment team model significantly improved the admission rates for complex and critical cases and increased the utilization of new technologies.Conclusion The development of a county-level emergency treatment system,spearheaded by the establishment of a provincial-level trauma center and a multidisciplinary team model for emergency green channels,can expedite trauma patient care,augment diagnostic efficiency and treatment efficacy,and catalyze advancements in medical technology within county hospitals.