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.

Thoracic anesthesia with spontaneous respiration represents a form of precision anesthesia meticulously customized to individual patients.Considering the more stringent requirements this anesthesia approach imposes on the regulation of respiratory function,the writing group of the"Consensus of Experts on the Management of Thoracic Anesthesia with Spontaneous Respiration"has formulated elaborate guidelines regarding indications and contraindications,preoperative evaluation,anesthesia implementation,common complications,and treatment strategies.This was accomplished by referencing relevant domestic and international literature and integrating it with actual clinical requirements.The objective is to standardize the rational application of this anesthesia method.

Objective:To explore the current research status, hotspots, and trends of self-advocacy among patients with chronic diseases, and to provide a reference for conducting research on self-advocacy in chronic diseases.Methods:A computer-based search was conducted in the China National Knowledge Infrastructure, Wanfang Data, VIP, China Biology Medicine disc, and the Web of Science Core Collection for literature related to self-advocacy among patients with chronic diseases, with the time frame from database inception to October 1, 2024. The CiteSpace 6.3.R1 software was used to perform visual analysis on publication volume, countries, institutions, authors, keywords, and citation status.Results:A total of 721 articles were included in the study. The country with the largest number of publications related to self-advocacy among patients with chronic diseases was the United States. Authors and journals were mainly from the fields of psychology and sociology. Research hotspots mainly included women, cancer, breast cancer, quality of life (health-related quality of life), cancer screening, and individual experiences. Future research trends are expected to focus on influencing factors and theoretical research, impacts on medical decision-making, psychological and social support, as well as the development of scales and assessment tools of self-advocacy.Conclusions:Research on self-advocacy in China started relatively late. It is suggested that in the future, domestic scholars conduct multi-center and large-sample studies on self-advocacy among populations in different regions and with various types of chronic diseases.

Objective:To assess the relationship between basophil levels and mortality in patients with intra-abdominal infection.Methods:Information on patients with intraperitoneal infection admitted to the intensive care unit were extracted from the MIMIC database.A time-dependent Cox regression model was used to adjust for confounders associated with 28-day mortality.Propensity score matching(PSM)was used to balance the baseline differences be-tween groups with different basophil levels,and a restricted cube chart(RCS)was used to show the relationship between basophil count and 28-day mortality in patients with intra-abdominal infection.Results:A total of 4403 patients with intra-abdominal infection were enrolled in the MIMIC database.Patients with high basophil levels have lower mortality than those with low basophil levels.There was an L-shaped curve between basophil level and 28-day mortality,with a cut-off value of 0.47×109/L.Cox regression analysis showed that basophil levels were an independent protective factor for mortal-ity in patients with intra-abdominal infection after adjusting for potential confounders(HR=0.586,95%CI:0.443-0.769).Protective factors for death at basophil levels remained after PSM adjusted for potential confounders(HR=0.628,95%CI:0.470-0.832).Conclusion:Basophil level is an independent protective factor for mortality in patients with intra-abdominal infection,and basophil levels should be dynamically monitored to better evaluate the prognosis of patients.

Objective To comparatively analyze the quantitative parameters of culprit and non-culprit plaques in patients with acute coronary syndromes(ACS)with a noninvasive technique of coronary computed tomography angiography(CCTA),and to explore the correlation between the quantitative parameters of plaques and culprit plaques.Methods Data were restrospectively collected from 51 ACS patients admitted in some hospital from January to December 2021.The coronary atherosclerotic plaques shown by invasive catheter angiography(ICA)that caused hemodynamic abnormalities and were treated with stenting were defined as offender plaques and enrolled into a culprit plaque group(56 culprit plaques),and other plaques were regarded as non-culprit plaques and divied into a non-culprit plaque group(164 non-culprit plaques).The relationship between culprit plaque and luminal stenosis was analyzed using the chi-square test,and quantitative plaque metrics were compared between the groups.The corelation between quantitative indicators and culprit plaque was analyzed using univariate Logistic regression,and multifactorial Logistic regression analysis was carried out.Statistical analysis was performed with SPSS 23.0 software.Results Analysis of plaque imaging data showed that culprit plaque was significantly associated with the degree of luminal stenosis(P<0.05).Statistically significant differences were found beween the two groups and between the culprit plaques resulting in moderate or greater luminal stenosis and non-culprit plaques in total plaque length,total plaque load,calcification load,fibrolipid volume,fibrolipid load,necrotic core volume and necrotic core load(all P<0.05).Univariate Logistic regression analysis showed total plaque length,total plaque load,fibrolipid volume,fibrolipid load,necrotic core volume and necrotic core load were all significantly correlated with culprit plaques(all P<0.05);multifactorial Logistic regress indicated total plaque length and fibrous lipid load were independent risk factors for culprit plaques,and the probability of culprit plaques increased to 1.093 and 1.101 times for every one unit increase in total plaque length and fibrolipid load,respectively.Conclusion Such quantitative parameters of plaques as total plaque length,total plaque load,fibrolipid volume,fibrolipid load,necrotic core volume and necrotic core load reflects the characteristics of culprit plaques effectively.Quantitative plaque parameter analysis based on CCTA facilitates clinicians for early assessment of patients with coronary atherosclerosis,which enables early intervention and prevention of acute coronary syndromes.[Chinese Medical Equipment Journal,2025,46(6):65-71]

BACKGROUND:Some research has suggested that regulation of gut microbiota may influence the course of intervertebral disc degeneration.However,the causal relationship of gut microbiota on intervertebral disc degeneration is unknown.OBJECTIVE:To assess the potential causal relationship between gut microbiota and intervertebral disc degeneration using a Mendelian randomization method.METHODS:Genome-wide association analysis summary statistics for 473 gut microbiota and genome-wide association analysis summary data for intervertebral disc degeneration from the R11 of the FinnGen database(46 205 cases of intervertebral disc degeneration and 322 314 controls)from the most recent publicly available publication were applied.Inverse variance weighting,MR-Egger regression,weighted median,weighted modeling,and simple modeling were used to investigate the causal relationship between gut microbiota and intervertebral disc degeneration.Sensitivity analyses were used to test whether the results of Mendelian randomization analyses were reliable.Reverse Mendelian randomization was performed with all gut microbiota as the outcomes for effect analysis and sensitivity analysis.RESULTS AND CONCLUSION:(1)The results of the inverse variance weighting method of the forward Mendelian randomization method showed that the order Trichosporonaceae,the family UBA-6960,the family Anaerobes thermophilus,the family Salmonellaceae,the genus Pseudomonas tufts,the species Gordonella and the species Euclidia showed a positive correlation with intervertebral disc degeneration.The order Spirochaetes,the order Pseudomonas,the family Spirochaetaceae,the genus CAG-776,the genus Helicobacter,the species CAG-448 sp003150135,the species CAG-776 sp000438195,the species Brautella-A sp000285855 and the species Hanson's Brautella showed a negative correlation with intervertebral disc degeneration.(2)The results of reverse Mendelian randomization showed that intervertebral disc degeneration was positively correlated with the genus Bartonella rosea,the genus Geobacillus C,the species Escherichia fumigatus,the species Propionibacterium fumigatus,the species UBA-1777 sp900319835,the species Pseudomonas aeruginosa and the species Bacillus subtilis,while negatively correlated with the species Streptomyces mingoldii,the species Prevotella sp000434975,the species Brault's A sp000285855,the species CAG-194 sp002441865 and the species CAG-590 sp000431135.(3)No heterogeneity or horizontal pleiotropy was found in the two-way sensitivity analysis.(4)The results described above indicate that the causal relationship between gut microbiota and intervertebral disc degeneration based on the Finnish database contributes to the exploration on new biomarkers for the early prediction and treatment of intervertebral disc degeneration in clinical practice.In addition,the establishment of a large database and the integration of medical data from multiple centers can be drawn upon in biomedical research in China to provide a solid foundation for studying the relationship between gut microbiota and intervertebral disc degeneration.We will strengthen communication and cooperation with research teams in other countries to jointly promote the research on the relationship between gut microbiota and diseases and contribute to the development of global medicine.

Objective:To explore the current research status, hotspots, and trends of self-advocacy among patients with chronic diseases, and to provide a reference for conducting research on self-advocacy in chronic diseases.Methods:A computer-based search was conducted in the China National Knowledge Infrastructure, Wanfang Data, VIP, China Biology Medicine disc, and the Web of Science Core Collection for literature related to self-advocacy among patients with chronic diseases, with the time frame from database inception to October 1, 2024. The CiteSpace 6.3.R1 software was used to perform visual analysis on publication volume, countries, institutions, authors, keywords, and citation status.Results:A total of 721 articles were included in the study. The country with the largest number of publications related to self-advocacy among patients with chronic diseases was the United States. Authors and journals were mainly from the fields of psychology and sociology. Research hotspots mainly included women, cancer, breast cancer, quality of life (health-related quality of life), cancer screening, and individual experiences. Future research trends are expected to focus on influencing factors and theoretical research, impacts on medical decision-making, psychological and social support, as well as the development of scales and assessment tools of self-advocacy.Conclusions:Research on self-advocacy in China started relatively late. It is suggested that in the future, domestic scholars conduct multi-center and large-sample studies on self-advocacy among populations in different regions and with various types of chronic diseases.

Objective:To evaluate the impact of Diagnosis-Intervention Packet(DIP)payment reform on medical service costs and efficiency for inpatients in public hospitals,and to compare differences between surgical and medical groups.Methods:A quasi-experimental design was employed,using 605 636 discharged patients from a tertiary hospital in Hebei Province between January 2020 and March 2025 as the sample.The difference-in-differences(DID)model was used to analyze the changes in key indicators between the DIP settlement group(intervention group)and the non-DIP settlement group(control group).Results:Total hospitalization costs,out-of-pocket expenses,and medication costs were significantly reduced in the DIP settlement group(P<0.05),while costs for examinations,nursing,laboratory tests,and treatments increased significantly(P<0.05).Material costs increased by 30.7%in the surgical group(P<0.1)and decreased by 19.8%in the medical group(P<0.01).In terms of efficiency,the average length of stay,time,and cost consumption index all decreased(P<0.01),while the proportion of medical services increased(P<0.01).The case mix index(CMI)showed no significant changes.Conclusion:The DIP reform effectively controlled costs and improved efficiency,but it also resulted in cost shifting and departmental disparities.Therefore,it is necessary to optimize cost control and departmental management policies.

Objective To explore the feasibility and corresponding implementation methods of constructing a sample resource bank based on individual-level data of completed clinical trials and using it to construct external controls for drug/device clinical trials.Methods Taking the pre-marketing clinical trial of transcatheter active valve replacement(TAVR)for the treatment of aortic valve stenosis as an example,the individual-level databases of multiple trials were standardized to form a sample bank.The original data of any trial in the sample bank were selected as the experimental group,and the remaining samples were selected as the control group.The potential confounding was handled by using the propensity score matching and stratification methods to clarify the process of constructing external controls based on the sample bank of individual-level data of clinical trials.Results This study included individual-level data of single-group trials of 4 TAVR devices,with a total of 569 subjects(59.2%male).The number of subjects in Trials 1 to 4 was 120,120,163,and 166,respectively.Propensity score matching enabled the matching of 113,117,125,and 147 subjects with comparable or similar characteristics from individual-level data from other trials,respectively,demonstrating a high matching success rate.The PS score distribution plot after stratification showed that the proportions of subjects in the experimental and control groups in strata 1 to 5 in scheme 1 were 4/103,11/103,22/92,32/87,and 51/64,respectively.For all constructed external controlled trials,a certain number of control samples with similar baseline characteristics to the experimental groups were distributed within each propensity score stratum.The results of the simulation test also reflected the potential differences between different devices in the 12-month all-cause mortality rate.Conclusions The sample bank constructed with individual-level data from clinical trials,as a high-quality data source,can serve as a source of external control for single-arm trials in the same field,and as a useful supplement to the external control scenario of real-world evidence to support drug and device development.At the same time,targeted research on research methods and bias control measures in related fields is also needed.