BACKGROUND: The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China. METHODS: This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences. RESULTS: Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n  = 278] vs . 43.7% [ n  = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses. CONCLUSION This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Artery Disease/drug therapy* ; Retrospective Studies ; Renal Dialysis/methods* ; Middle Aged ; Aged ; China ; Proportional Hazards Models ; Treatment Outcome

OBJECTIVE: To precise classify sacral meningeal cysts, effective guide minimally invasive neurosurgery and postoperative personalized rehabilitation by multiple dimensions radiographic reconstruction MRI. METHODS: From March to December 2021, based on the original 3D-fast imaging employing steadystate acquisition (FIESTA) scanning sequence, 92 patients with sacral meningeal cysts were pre-operatively evaluated by multiple dimensional reconstruction MRI. The shape of nerve root and the leakage of cyst were reconstructed according to the direction of nerve root or leakage track showed on original MRI scans. Sacral canal cysts were accurately classified as including nerve root and without nerve root, so as to accurately design the incision of skin and formulate corresponding open range of the posterior wall of the sacral canal. Under the microscope intraoperation, the shape of the nerve roots inside cysts or leakage track of the cysts without nerve roots were verified and explored. After the reinforcement and shaping operation, several reexaminations of multiple dimensional reconstruction MRI were performed to understand the deformation of the nerve root and hydrops in the operation cavity, so as to formulate a persona-lized rehabilitation plan for the patients. RESULTS: Among the 92 patients with sacral mengingeal cyst, 58 (63.0%) cysts with nerve root cyst, 29 (31.5%) cysts without nerve root cyst, and 5 (5.4%) cysts with mixed sacral canal cyst. In 58 patients with nerve root cysts, the accuracy of preoperative clinical classification on MRI image reached 96.6% (56/58) through confirmation by operating microscope. Only 2 cases of large single cyst with nerve root on the head of cyst were mistaken for without nerve root type. In 29 patients with sacral cyst without nerve root, the accuracy of preoperative image reached 100% through confirmation by operating microscope. The accuracy of judging the internal nerve root and leakage of 12 cases with recurrent sacral cyst was also 100%. Two cases of delayed postoperative hydrops were found one month after operation. After rehabilitation treatment by moxibustion and bathing, the hydrops disappeared 4-6 months after operation. CONCLUSION Multiple dimensional reconstruction MRI can precisely make clinical classification of sacral meningeal cysts before operation, guide minimally invasive neurosurgery effectively, and improve the rehabilitation effect.
Humans ; Magnetic Resonance Imaging/methods* ; Male ; Female ; Sacrum/surgery* ; Adult ; Middle Aged ; Imaging, Three-Dimensional/methods* ; Cysts/rehabilitation* ; Aged ; Adolescent ; Young Adult ; Spinal Nerve Roots/diagnostic imaging* ; Minimally Invasive Surgical Procedures ; Neurosurgical Procedures/methods*

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

As a cheap and effective antibiotic,sulfonamides are often used in animal husbandry.However,their residues in animal-derived foodstuffs will threaten human health.Consequently,a high-performance liquid chromatography(HPLC)method integrated with supramolecular solvent microextraction was successfully established for simultaneous quantification of sulfonamide residues sulfachlorpyridazine,sulfamethoxazole,sulfamethoxypyridazine and sulfadimethoxine in milk matrices.This approach exhibited prominent characteristics of operational simplicity,environmental sustainability,and high extraction efficiency.The supramolecular solvents prepared by tributyl octylphosphine tetrafluoroborate and tetrahydrofuran were employed as extraction solvents.The analytes underwent isolation and concentration via dispersive liquid-liquid microextraction(DLLME)prior to quantitative determination using high-performance liquid chromatography(HPLC).The composition and microscopic morphology of the supramolecular solvent were characterized through a series of analytical techniques,including phase diagram,Fourier transform infrared spectroscopy,scanning electron microscopy,and inverted fluorescence microscopy and so on.The density and pH value of supramolecular solvents were determined.The extraction conditions were optimized through the one-factor experiments.The experimental results demonstrated that under the optimal extraction conditions,the four kinds of sulfonamide antibiotics exhibited excellent linearity within respective detection range(R2 ≥ 0.9998)and the limits of detection(LOD)were 0.67-1.45 μg/L.Compared with literature methods,this approach offered some advantages such as simplicity of operation and less reagent consumption,and could be used for analysis and detection of sulfonamide antibiotic residues in milk samples.The present method provided technical support for food safety regulation and paved a new way for the application of supramolecular solvents in the field of extraction and separation.

Forensic medicine has been designated as a first-level discipline,presenting new opportunities and challenges for the development of forensic medicine.Since the 1980s,the establishment of foren-sic medicine discipline and the cultivation of high-level forensic talents have become hot topics in the development of forensic medicine in China.Since the 13th Five-Year Plan,the forensic team of Shanxi Medical University has been aiming at the forefront,proposing the development goals of"Five First-class"and the discipline development path"Six Major Achievements".It has selected benchmark disci-plines,identified gaps in disciplinary development,unified thoughts,formulated completion timelines,concentrated superior resources,assigned tasks to individuals,and created an"Organized Fill-in-the-Blank Format"forensic medicine discipline construction model with the characteristics of the new era.The construction model of forensic medicine has achieved good results in the goals,discipline frame-work,scientific research,talent cultivation,discipline team and platform construction,forming a rela-tively complete discipline construction and management system,and accumulating valuable experience for the construction of first-level discipline and high-level talent cultivation of forensic medicine.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To investigate the effects of prognostic nutritional index (PNI) on the readmission rate, complication rate, mortality rate and survival of patients with liver cirrhosis.Methods:From January 1, 2020 to December 31, 2022, 395 hospitalized patients with liver cirrhosis at Tianmen Hospital Affiliated to Wuhan University of Science and Technology were retrospectively enrolled. The clinical data were collected from the patients at their first hospitalization (baseline period) and re-hospitalization during follow-up period. The 18-month follow-up was divided into 4 periods, including the first period (from the 0th to the 3rd month), the second one was from the 4th to the 6th month, the third one was from the 7th to the 12th month, and the fourth one was from the 13th to the 18th month of follow-up. The prognostic value of PNI for patients with liver cirrhosis was evaluated through the receiver operating characteristic curve (ROC) of the baseline PNI. The 395 patients were divided into the low PNI group and the high PNI group based on the optimal cut-off value of PNI on the ROC. Patients readmitted during each follow-up period were divided into the PNI improvement group (PNI at follow-up -PNI at baseline>0) and the PNI non-improvement group (PNI at follow-up-PNI at baseline ≤0). Independent sample t-test, one-way analysis of variance (ANOVA), Mann-Whitney U test, chi-square test or Fisher′s exact test were used for statistical analysis. Survival curves depicting the relationship between PNI and overall survival rate of patients with liver cirrhosis were constructed using the Kaplan-Meier method. Results:The ROC analysis indicated that the optimal cut-off value of PNI at baseline was 32.65, with an area under the curve of 0.639 (95% confidence interval: 0.541 to 0.738, P=0.011), with a sensitivity of 0.567 and a specificity of 0.701. There were 269 cases in the high PNI group and 126 cases in the low PNI group. The readmission rate, complication rate and mortality rate in the low PNI group were all higher than those in the high PNI group at the first and fourth follow-up periods (32.5% (41/126) vs. 22.3% (60/269), 31.7% (40/126) vs. 20.4% (55/269), 6.3% (8/126) vs. 1.1% (3/269), 25.0% (29/116) vs. 16.2% (42/260), 25.0% (29/116) vs. 15.4% (40/260), 6.0% (7/116) vs. 1.5% (4/260)), and the differences were statistically significant ( χ2=4.72, 6.00, 6.86, 4.10, 4.95, and 4.24; P=0.030, 0.014, 0.009, 0.043, 0.026, and 0.040). The mortality rates of the PNI improvement group at the first and fourth follow-up periods were both lower than those of the PNI non-improvement group (4.3% (2/47) vs. 16.7% (9/54), 0 (0/24) vs. 23.4% (11/47)), and the differences were statistically significant ( χ2=3.99, Fisher′s exact test; P=0.046 and 0.012). There were no statistically significant difference in the incidence of complications between the PNI improvement group and the PNI non-improvement group at each follow-up period (all P>0.05). The Kaplan-Meier survival curve demonstrated that the average survival time of the high PNI group was longer than that of the low PNI group (17.54 months (95% confidence interval: 17.26 to 17.83 months) vs. 16.74 months (95% confidence interval: 16.96 to 17.52 months), and the difference was statistically significant ( χ2=9.18, P<0.001). The survival rate of the high PNI group at the 18th month of follow-up period was higher than that of the low PNI group (95.2% (256/269) vs. 86.5% (109/126), and the difference was statistically significant ( χ2=9.17, P=0.002). Conclusions:PNI has certain predictive efficacy for the survival period of patients with liver cirrhosis. Low-level PNI may increase the readmission rate, complication rate, and mortality of patients with liver cirrhosis, and shorten the survival period, indicating poor prognosis.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To investigate the effects of prognostic nutritional index (PNI) on the readmission rate, complication rate, mortality rate and survival of patients with liver cirrhosis.Methods:From January 1, 2020 to December 31, 2022, 395 hospitalized patients with liver cirrhosis at Tianmen Hospital Affiliated to Wuhan University of Science and Technology were retrospectively enrolled. The clinical data were collected from the patients at their first hospitalization (baseline period) and re-hospitalization during follow-up period. The 18-month follow-up was divided into 4 periods, including the first period (from the 0th to the 3rd month), the second one was from the 4th to the 6th month, the third one was from the 7th to the 12th month, and the fourth one was from the 13th to the 18th month of follow-up. The prognostic value of PNI for patients with liver cirrhosis was evaluated through the receiver operating characteristic curve (ROC) of the baseline PNI. The 395 patients were divided into the low PNI group and the high PNI group based on the optimal cut-off value of PNI on the ROC. Patients readmitted during each follow-up period were divided into the PNI improvement group (PNI at follow-up -PNI at baseline>0) and the PNI non-improvement group (PNI at follow-up-PNI at baseline ≤0). Independent sample t-test, one-way analysis of variance (ANOVA), Mann-Whitney U test, chi-square test or Fisher′s exact test were used for statistical analysis. Survival curves depicting the relationship between PNI and overall survival rate of patients with liver cirrhosis were constructed using the Kaplan-Meier method. Results:The ROC analysis indicated that the optimal cut-off value of PNI at baseline was 32.65, with an area under the curve of 0.639 (95% confidence interval: 0.541 to 0.738, P=0.011), with a sensitivity of 0.567 and a specificity of 0.701. There were 269 cases in the high PNI group and 126 cases in the low PNI group. The readmission rate, complication rate and mortality rate in the low PNI group were all higher than those in the high PNI group at the first and fourth follow-up periods (32.5% (41/126) vs. 22.3% (60/269), 31.7% (40/126) vs. 20.4% (55/269), 6.3% (8/126) vs. 1.1% (3/269), 25.0% (29/116) vs. 16.2% (42/260), 25.0% (29/116) vs. 15.4% (40/260), 6.0% (7/116) vs. 1.5% (4/260)), and the differences were statistically significant ( χ2=4.72, 6.00, 6.86, 4.10, 4.95, and 4.24; P=0.030, 0.014, 0.009, 0.043, 0.026, and 0.040). The mortality rates of the PNI improvement group at the first and fourth follow-up periods were both lower than those of the PNI non-improvement group (4.3% (2/47) vs. 16.7% (9/54), 0 (0/24) vs. 23.4% (11/47)), and the differences were statistically significant ( χ2=3.99, Fisher′s exact test; P=0.046 and 0.012). There were no statistically significant difference in the incidence of complications between the PNI improvement group and the PNI non-improvement group at each follow-up period (all P>0.05). The Kaplan-Meier survival curve demonstrated that the average survival time of the high PNI group was longer than that of the low PNI group (17.54 months (95% confidence interval: 17.26 to 17.83 months) vs. 16.74 months (95% confidence interval: 16.96 to 17.52 months), and the difference was statistically significant ( χ2=9.18, P<0.001). The survival rate of the high PNI group at the 18th month of follow-up period was higher than that of the low PNI group (95.2% (256/269) vs. 86.5% (109/126), and the difference was statistically significant ( χ2=9.17, P=0.002). Conclusions:PNI has certain predictive efficacy for the survival period of patients with liver cirrhosis. Low-level PNI may increase the readmission rate, complication rate, and mortality of patients with liver cirrhosis, and shorten the survival period, indicating poor prognosis.