Histopathological examination is currently the gold standard for the diagnosis of metabolic associated fatty liver disease （MAFLD）； however， due to its invasiveness， high risks， and low feasibility， application of noninvasive indicators in the staging and classification of MAFLD has become a research hotspot. This article systematically reviews the efficacy of dynamic changes in various noninvasive markers in reflecting histological changes and clinical outcome events in MAFLD patients， in order to provide theoretical support for dynamic monitoring and individualized management of the disease.

ObjectiveTo optimize the water extraction process of Coptidis Rhizoma （CR） and the processing of Polygalae Radix （PR） with the water decoction of CR， and to compare chemical constituents before and after processing. MethodsWith water volume， soaking time， decocting time， and decocting times as influencing factors， and the content of berberine， epiberberine， coptisine， jatrorrhizine， and palmatine and the yield of dry extract as evaluation indexes， the orthogonal test combined with multi-index comprehensive scoring method was employed to optimize the water extraction parameters of CR. With solid-liquid ratio， stir-frying temperature， and stir-frying time as influencing factors， and the content of tenuifolin， polygalaxanthone Ⅲ， and 3，6ʹ-disinapoyl sucrose and the yield of ethanol extract as evaluation indexes， the orthogonal test combined with multi-index comprehensive scoring method was applied to optimize the processing parameters of PR with the water decoction of CR. The differential chemical constituents of PR before and after processing were analyzed by ultra-performance liquid chromatography-quadrupole-Exactive Orbitrap-mass spectrometry （UPLC-Q Exactive Orbitrap MS）. ResultsThe optimal water extraction process of CR was as follows： Decocting for 3 times， 40 min each time， with 10 times the amount of water. The optimal processing technology of PR with the water decoction of CR was a solid-liquid ratio of 1∶1.5， a stir-frying temperature of 140 ℃， and stir-frying time of 20 min. A total of 31 differential components were identified before and after processing， including 17 components of PR and 15 components of CR. After processing， 14 new components such as coptisine， berberine， and palmatine emerged， and the content of arillanin A， glomeratose A， 3，6ʹ-disinapoyl sucrose， and ferulic acid was increased. The content of other intrinsic constituents of PR， such as onjisaponin D， polygalaxanthone Ⅺ， sibiricose A3， and tenuifoliside B， was generally decreased. ConclusionThe optimized characteristic processing technology of PR with the water decoction of CR is stable and feasible. Significant differences in chemical composition were observed between raw and processed PR. Processing with the water decoction of CR can effectively reduce the gastrointestinal irritant components originally present in PR while simultaneously introducing the bioactive constituents from CR. This study provides data support for the standardization research and mechanism elucidation of the ancient characteristic processing methods of the Jinling medical school.

Diabetes, hyperlipidemia, and hyperuricemia have emerged as global chronic metabolic disorders posing significant public health challenges. Edible medicinal plants demonstrate multitarget regulatory effects and favorable safety profiles in the management of chronic metabolic diseases, owing to their bioactive compounds and nutritional synergy. Radix Astragali (RA), a traditional Chinese medicine with medicine–food homology, has a long history of application in China. Based on a review of relevant literature, this article discusses the historical background, modern research, therapeutic functions, and mechanisms of RA in the treatment of chronic metabolic diseases. Modern studies have shown that RA contains a variety of bioactive components and demonstrates efficacy in managing diabetes, hyperlipidemia, and hyperuricemia. Its mechanisms of action involve modulation of the insulin signaling pathway, regulation of lipid metabolism-related enzyme activity, promotion of uric acid excretion, and other processes. Notably, RA exhibits certain common therapeutic effects across hyperglycemia, hyperlipidemia, and hyperuricemia. Through modulation of the gut microbiota and inhibition of inflammatory pathways, RA exerts synergistic, multitarget effects that improve metabolic disorders associated with chronic metabolic diseases.

Objective:To explore the clinical application value of a combined model based on the radiomics features of magnetic resonance imaging(MRI)and MRI signs in predicting recurrence after radical resection for hepatocellular carcinoma(HCC).Methods:A retrospective analysis was conducted on the imaging data of 100 patients with radical resection for HCC who admitted to Zibo 148 Hospital from May 2016 to May 2020.All patients underwent abdominal enhanced MRI examination before surgery,and they were followed up for at least 2 years after the surgery.They were randomly divided into training group(70 cases)and verification group(30 cases)as a ratio of 7:3.According to the postoperative follow-up results,the training group existed 12 cases of recurrence and 58 cases without recurrence,and the verification group existed 5 cases of recurrence and 25 cases without recurrence.The 3D-slicer software was used to extract radiomics features of preoperative MRI images of each HCC patient.The intra-group correlation coefficient(ICC)of the extracted imaging features of the observers was calculated.The maximum related minimum redundancy(mRMR)algorithm and LASSO regression were selected to analyze the established radiomics labels after dimensionality reduction and screening.Univariate and multivariate logistic regression analysis were used to screen the independent risk factors of predicting recurrence in MRI signs,and they were used respectively to construct radiomics models with the radiomics labels of plain scan,arterial phase,portal phase and hepatobiliary phase.The receiver operating characteristic(ROC)curve was used to assess the diagnostic efficacy of each radiomics model in predicting recurrence.Results:The ICC range of two physicians in selecting radiomics features from the MRI images of all patients were between 0.903 and 0.957,which consistency was favorable(ICC≥0.9).Compared with other predictive models,the highest area under curve(AUC)values of ROC curve of the radiomics model of plain scan of training group[0.951(95%CI:0.901-1.000)]and verification group[0.968(95%CI:0.917-1.000)]were respectively 0.951 and 0.968 in predicting recurrence after radical resection for liver cancer.Conclusion:The combined model that is constructed on the basis of MRI radiomics features has favorable predictive value for the recurrence of patients after radical resection for HCC.Among of them,the radiomics model of plain scan has a certain guiding role in the clinical implementation of personalized treatment plans under the absence of enhancement,and in underdeveloped areas.

Anterior cruciate ligament (ACL) injury of the knee is a common sports injury that leads to knee instability, articular cartilage degeneration, periarticular ligaments and meniscus injuries. Arthroscopic anterior cruciate ligament reconstruction (ACLR) is the gold standard in the treatment of ACL injuries, but femoral fixation, being one of the main factors affecting postoperative function after ACLR, remains controversial with various methods and no universal standard. Interference screws as a commonly used fixation method are made of various materials, among which metal screws provide strong fixation but have the disadvantages of graft damage, interference with the MRI examination, and a removal surgery. Degradable metal has good mechanical properties but its degradation is unpredictable. Bioabsorbable interference screws do not require a second operation and do not interfere with the MRI examination, but there are risks of screw breakage, dislocation, and bone tunnel widening. Sheathed interference screws increase the tendon-bone contact area but require a high level of integrity of the bone tunnel. Suspension fixation, the most commonly used method for ACLR femoral side, provides high initial strength, but may cause tendon lengthening, wiper effect and bungee effect. Cross-pin fixation such as Rigidfix, fixes the graft with two absorbable transverse nails with even stress distribution. However, it has a limited choice of femoral tunnel location,poses a risk of cross-pin fracture, and is not suitable for patients with tendons smaller than 7 mm in diameter. Over-the-top fixation does not need the building of a femoral tunnel and is more commonly used in skeletally immature, partial ACL injuries and ACLR revision surgery, where damage to the epiphysis can be avoided and can be used as a means of reinforcement. However, it is not sufficient in patients with high requirements for knee flexion stability and requires longer tendon graft.

Objective:Using bacterial culture as the gold standard, to evaluate the agreement of rapid antigen detection test (RADT) and rapid nucleic acid test (RNAT) in diagnosing group A Streptococcus (GAS) pharyngitis in pediatric outpatients, and assess their potential clinical utility. Methods:This cross-sectional study prospectively collected throat swab specimens and clinical data of 338 children diagnosed with acute pharyngitis at the Department of Outpatient Beijing Children′s Hospital, Capital Medical University, between July 2023 and February 2024. The specimens were tested for GAS bacterial culture, RADT and RNAT. Using bacterial culture results as the reference standard, Kappa consistency analysis was performed to assess the diagnostic concordance between RADT and RNAT. Chi-square test was used to compare clinical characteristics between cases diagnosed by different methods.Results:In the 338 children diagnosed with pharyngitis, 195 were male and 143 were female, with an age at the visit of 7.4 (5.9, 7.4) years. The positivive rates for GAS detection were 25.7% (87/338) by bacterial culture, 20.7% (70/338) by RADT, and 41.7% (141/338) by RNAT. In terms of diagnostic performance, RADT exhibited a higher specificity (96.8% (243/251)) and better agreement with bacterial culture results ( κ=0.73), whereas RNAT showed greater sensitivity (95.4% (83/87)) but lower specificity (76.9% (193/251)) and moderate agreement ( κ=0.61). Among the 87 children with positive bacterial culture for GAS, 56 were male and 31 were female, with an age at visit of 7.3 (6.2, 8.8) years. Clinically, body temperature predominantly ranged from 38.1 to 39.0 ℃ in 48 cases (55.2%), and common accompanying symptoms included sore throat 62 cases (71.3%), cough 33 cases (37.9%), and cervical lymphadenopathy or tenderness 16 cases (18.4%). On physical examination, tonsillar enlargement was present in 73 cases (83.9%) and exudate in 37 cases (42.5%). The McIsaac score was most frequently 4 points, observed in 37 cases (42.5%). Laboratory tests showed a peripheral white blood cell (WBC) count of 14.5 (12.3, 18.7)×10?/L and C-reactive protein (CRP) concentration of 22.0 (10.1, 41.4) mg/L. There were no statistically significant differences in the proportion of fever, sore throat, cough, tender cervical lymphadenopathy, tonsillar exudates, or tonsillar enlargement, nor in WBC count or CRP, among children who tested positive by RADT, RNAT, or bacterial culture (all P>0.05). Conclusions:Compared with bacterial culture,the RADT demonstrates higher specificity, while the RNAT exhibits greater sensitivity. Both methods show good concordance with culture results and may serve as effective adjunctive tools for the early screening of GAS pharyngitis.

Objective To develop an artificial intelligence(AI)diagnostic system for computed tomography angiography(CTA)images related to acute aortic syndrome(AAS)and to evaluate its efficacy in diagnosing and differentiating between AAS subtypes.Methods We collected the CTA images of patients diagnosed with aortic dissection(AD),intramural hematoma(IMH),or penetrating atherosclerotic ulcer(PAU)who were treated in the Department of Peripheral Vascular Diseases,The First Affiliated Hospital of Xi'an Jiaotong University,from June 2016 to June 2022.Based on the strict inclusion and exclusion criteria,2 057 CTA images were selected and extracted.Normal human aorta CTA images served as the control group.The YOLO v7 neural network was used to diagnose and differentiate subgroups of AAS patients in the CTA images,and its diagnostic performance was evaluated.Results The sensitivity,specificity,positive predictive value,negative predictive value,and total accuracy of the AAS diagnostic system based on the YOLO v7 were 98.72％,83.10％,97.82％,89.40％,and 96.92％,respectively.The total accuracy for differential diagnosis of the subgroups was 85.58％.The total accuracy of diagnosis results was significantly higher than that of differential diagnosis results(P＜0.05).Conclusion The AI-based AAS diagnostic system utilizing YOLO v7 meets the established standards for disease diagnosis.However,further research is warranted involving larger image databases and more advanced deep learning networks to improve the differentiation among AAS subtypes.

Lung transplantation is a key therapeutic approach for patients with end-stage lung diseases. Although its clinical outcomes have significantly improved, multidimensional injuries sustained by donor lungs during procurement, preservation, and transplantation remain major challenges affecting graft survival and long-term prognosis. This article proposes the "Guangzhou Classification" for full-course management of donor lung injury, characterized by spatiotemporal dynamics. Based on the progression of disease stages, donor lung injuries are systematically divided into three types: primary injuries (including donor ICU-related lung injury, pathogen colonization, and cold ischemia injury), secondary injuries (such as ventilator-induced lung injury after transplantation, ischemia-reperfusion inflammatory storm, and early rejection), and accompanying injuries (organ toxicity caused by accumulation of postoperative sedatives, analgesics, and vasoactive drugs). Drawing on previous studies and the clinical experience of our center, this paper elaborates the temporal evolution, key risk factors, and prevention and treatment strategies of each injury category, and discusses future research directions. By targeting critical injury factors at each stage, this classification aims to optimize both short-term and long-term outcomes of lung transplantation.

Objective:To explore the predictive factors for extubation in the operating room after single lung transplantation without the assistance of extracorporeal membrane oxygenation (ECMO) in adult patients with end-stage interstitial lung disease (ILD), as well as their short-term (1-year postoperative) prognosis.Methods:A retrospective analysis was conducted on the clinical data of 78 adult ILD recipients who underwent single lung transplantation without ECMO assistance at the First Affiliated Hospital of Guangzhou Medical University from June 2018 to June 2023. Based on whether extubation was completed in the operating room (OR), patients were divided into the OR group (19 cases) and ICU group (59 cases). Baseline characteristics of donors and recipients, as well as intraoperative events, were compared between the two groups. Univariate logistic regression analysis was used to identify potential predictors, and variables with P<0.2 were included in multivariate logistic regression to determine independent predictors for OR extubation. Receiver operating characteristic (ROC) curves were plotted to evaluate predictive performance. The Kaplan-Meier method was used to analyze survival, and short-term prognosis between groups was compared. Results:The rate of OR extubation after single lung transplantation in ILD recipients was 24%(19/78). Compared with the ICU group, the OR group had shorter operation times, lower fluid volumes, reduced transfusions of red blood cells and plasma, less intraoperative bleeding, and lower lactate levels 15 minutes after pulmonary artery reperfusion (all P<0.05). Univariate logistic regression analysis identified the following factors as significantly associated with OR extubation: recipient age ( P=0.100), operative time ( P=0.001), fluid infusion volume ( P=0.005), red blood cell transfusion volume ( P=0.037), plasma transfusion volume ( P=0.039), blood loss ( P=0.004), oxygenation index at 15 minutes after reperfusion ( P=0.174), and blood lactate at 15 minutes after reperfusion ( P=0.041). Multivariate analysis revealed that intraoperative blood loss was an independent predictor of OR extubation ( OR=0.993, 95% CI: 0.986 - 0.999, P=0.026). ROC curve analysis showed that blood loss had an area under the curve (AUC) of 0.822 in predicting OR extubation, with a sensitivity of 64.4% and specificity of 89.5%. Postoperatively, patients in the OR group had significantly shorter durations of mechanical ventilation [0 vs 5 (3,11) days, P<0.001], ICU stay [7(4,8) vs 9(6,20) days, P=0.012], and overall postoperative hospitalization [19 (15,23) vs 25 (19,39) days, P=0.015]. Within one year after surgery, 2 patients (11%) in the OR group and 19 patients (32%) in the ICU group had died, but the difference in 1-year survival rates between the two groups was not statistically significant. Conclusions:Intraoperative blood loss is an independent predictor of extubation in the operating room. Early extubation in non-ECMO-assisted single lung transplantation for ILD patients is associated with improved short-term outcomes.