Central nervous system vasculitis (CNSV) is a type of inflammatory disease involving the blood vessels of the brain, spinal cord and meninges, and its clinical diagnosis is quite challenging. The sensitivity and specificity of traditional imaging examinations are very low, while high-resolution vessel wall imaging (HRVWI) can clearly show vascular wall and perivascular lesions. CNSV on HRVWI may manifested as concentric thickening and enhancement of the vascular wall, and perivascular enhancement with or without vascular stenosis. HRVWI has high value in the diagnosis and differential diagnosis of CNSV and related diseases. This article reviews the HRVWI characteristics of CNSV and the differential diagnosis of related diseases.

Objective To observe the effect of emodin on lung injury in rats with stroke associated pneumonia(SAP)through regulating Janus kinase 2(JAK2)/signal transducer and activators of transcription 3(STAT3)signaling pathway.Methods The SAP rat model was established by modified thread embolization method combined with intratracheal injection of Pseudomonas aeruginosa method.The successfully modeled rats were randomly divided into model group,emodin low-and high-dose groups and emodin high-dose+coumermycin(JAK2 activator)group,with 12 rats in each group,and another 12 SD rats were selected as the sham-operated group.After the intervention,the partial pressure of arterial blood gas indexes such as carbon dioxide(PaCO2)and partial pressure of oxygen(PaO2)were measured,the ratio of lung wet/dry mass(W/D)was determined,the inflammatory cell count in the bronchoalveolar lavage fluid(BALF)was detected,the histopathological feature in the lung tissues was observed by hematoxylin-eosin(HE)staining and the pathological injury was scored,enzyme-linked immunosorbent assay(ELISA)was used to detect myeloperoxidase(MPO)activity in the lung tissues and interleukin 6(IL-6)and cyclooxygenase 2(COX-2)levels in BALF and serum,and Western Blot was used to detect the expression of JAK2/STAT3 pathway key proteins in lung tissues.Results Compared with the sham-operated group,the model group rats showed that more obvious pathological injury in lung tissues was seen,and PaCO2 value,ratio of lung W/D,white blood cell count and eosinophils count in BALF,pathological injury score,MPO activity in lung tissues,IL-6 and COX-2 levels in BALF and serum,and ratios of p-JAK2/JAK2 and p-STAT3/STAT3 in lung tissues were significantly increased,and PaO2 value was significantly decreased,the differences being statistically significant(P<0.05);compared with the model group,the emodin low-and high-dose groups rats showed that the pathological injury in lung tissues was reduced,PaCO2 value,ratio of lung W/D,white blood cell count and eosinophils count in BALF,pathological injury score,MPO activity in lung tissues,IL-6 and COX-2 levels in BALF and serum,and ratios of p-JAK2/JAK2 and p-STAT3/STAT3 in lung tissues were all decreased,and PaO2 value was increased,the differences being statistically significant(P<0.05),and the improvement effect was more stronger in high-dose emodin group;coumermycin attenuated the improvement effect of emodin on the above various indexes in the model rats.Conclusion Emodin can reduce the inflammation levels in SAP rats through inhibiting the activation of JAK2/STAT3 signaling pathway,thus reducing the lung tissue damage and improving the lung function of rats.

AIM:To investigate the value of optical coherence tomography angiography(OCTA)indicators in the diagnosis of diabetic retinopathy(DR), and to provide patients with diabetic nephropathy(DN)with more sensitive OCTA screening indicators to detect concurrent DR at an early stage.METHODS: A total of 200 patients who treated in the ophthalmology department of the Seventh Affiliated Hospital, Sun Yat-sen University from 2022 to 2023 were included, including 95 first-diagnosed DR patients and 105 patients without DR, and all patients underwent OCTA examination and a collection of demographics and renal function parameters. After a quality check, automated measurements of the foveal avascular zone area, vessel density(VD), and perfusion density(PD)of both 3 mm×3 mm and 6 mm×6 mm windows were obtained.RESULTS: Using random forest and multivariate Logistic regression methods, we developed a diagnostic model for DR based on 12 variables(age, FBG, SBP, DBP, HbA1c, ALT, ALP, urea/Scr, DM duration, HUA, DN, and CMT). Adding specific OCTA parameters enhanced the efficacy of the existing diagnostic model for DR(outer vessel density in 6 mm×6 mm window, AUC=0.837 vs 0.819, P=0.03). In the study of DN patients, the parameters in the 6 mm×6 mm window improved the diagnostic efficacy of DR(inner VD; outer VD; full VD; outer PD; full PD).CONCLUSION:The outer VD in the 6 mm×6 mm window can enhance the efficacy of the traditional DR diagnostic model. Meanwhile, compared with the 3 mm×3 mm window, the microvascular parameters in the 6 mm× 6 mm window focusing on DN patients can be more sensitive to diagnosing the occurrence of DR.

This study employs ultra-performance liquid chromatography(UPLC) to analyze the differences in alkaloid content of Commelina communis from various geographical origins, exploring its feasibility as a quality evaluation indicator. A total of 57 batches of C. communis samples from 23 provinces, autonomous regions, and municipalities in China were selected. The MicroPulite HSS T3(2.1 mm×50 mm, 1.8 μm)column was used with a mobile phase of acetonitrile-0.2% phosphoric acid aqueous solution(20∶80), detection wavelength at 254 nm, and a flow rate of 0.3 mL·min~(-1) to measure the content of 1-deoxynojirimycin(DNJ) and deoxymannojirimycin(DMJ). The MicroPulite XP tC_(18)(2.1 mm×100 mm, 1.7 μm)column was employed with a mobile phase of acetonitrile-0.2% phosphoric acid aqueous solution(4∶96), detection wavelength at 254 nm, and a flow rate of 0.4 mL·min~(-1) to measure the content of norharmine(NHM) and harmanme(HM). Chemometric methods were applied to study the relationships and differences among the 57 batches of C. communis. Significant differences in alkaloid content were observed among C. communis from different regions, with the average total content decreasing in the order of North China, Northeast China, Northwest China, East China, Southwest China, Central China, and South China. Cluster analysis(CA) and principal component analysis(PCA) further revealed the quality differences of C. communis from various origins, and partial least squares discriminant analysis(PLS-DA) identified DNJ as a marker compound to distinguish the quality differences between different geographical sources of C. communis. It is recommended that the content limit of DNJ be set at no less than 0.055 9%, providing a reference for the quality evaluation and clinical application of C. communis medicinal materials.
Alkaloids/analysis* ; Drugs, Chinese Herbal/chemistry* ; China ; Chromatography, High Pressure Liquid ; Chemometrics/methods* ; Quality Control

Objective To establish an effective model for distinguishing glandular prodromal lesions(PGL)mixed with ground-glass nodules(mGGN)from minimally invasive adenocarcinoma(MIA)on CT based on artificial intelligence.Methods A retrospective analysis was conducted on the clinical and CT image data of 180 patients with lung adenocarcinoma confirmed by surgical pathology and with CT manifestations of mGGN in the First Affiliated Hospital of Wenzhou Medical University from January 2017 to June 2023,inclu-ding 66 patients with PGL and 114 patients with MIA.Patients were divided into the training set(n=144)and the test set(n=36)in an 8∶2 ratio using a completely random method.The quantitative parameters and radiomics features of the lesions in CT images were automatically extracted using artificial intelligence soft-ware(United Imaging Research Platform uRP).By incorporating the most obvious correlation features of omics through dimensionality reduction,five machine learning classifiers were established,including logistic regression(LR),support vector machine(SVM),Random forest(RF),Gaussian process(GP),and Decision Tree(DT).The classifier with the training set highest area under the curve(AUC)was selected as the best radiomics model,and output the result as radiomics score(Rad-score).The clinical information,CT morpho-logical characteristics and quantitative data of the two groups were included in the multivariate logistic regres-sion analysis to screen the independent influencing factors for effectively differentiating PGL and MIA,and a clinical model was established.Finally,a comprehensive prediction model was constructed based on Rad-score and clinical risk factors.The diagnostic performance of the three models was evaluated by using the AUC,sen-sitivity,specificity and accuracy of receiver operating characteristic(ROC)curve.Results Eleven radiomics features for distinguishing PGL from MIA were obtained through LASSO dimensionality reduction.Among the five machine learning classifiers,GP has the best diagnostic performance,with AUC of 0.865 in the train-ing set and 0.762 in the test set,respectively.Univariate and multivariate logistic regression analyses were used for clinical feature screening.The clinical model was constructed by using the average CT value,average long and short diameter,and solid partial long diameter of mGGN,and the AUCs of the training set and the test set were 0.870 and 0.794,respectively.The comprehensive prediction model demonstrated superior diag-nostic performance,with AUC,sensitivity,specificity,and accuracy in the training set being 0.948,81.1%,91.2%and 87.5%respectively,while 0.883,76.9%,91.3%and 86.1%respectively in the test set.Conclu-sion The comprehensive prediction model established based on the quantitative and omics feature analysis of pulmonary nodules by artificial intelligence can well distinguish mGGN mixed with PGL from MIA on CT,and can be used to guide clinical treatment decisions.

PURPOSE: To methodically assess the effectiveness of augmentative plating (AP) and exchange nailing (EN) in managing nonunion following intramedullary nailing for long bone fractures of the lower extremity. METHODS: PubMed, EMBASE, Web of Science, and the Cochrane Library were searched to gather clinical studies regarding the use of AP and EN techniques in the treatment of nonunion following intramedullary nailing of lower extremity long bones. The search was conducted up until May 2023. The original studies underwent an independent assessment of their quality, a process conducted utilizing the Newcastle-Ottawa scale. Data were retrieved from these studies, and meta-analysis was executed utilizing Review Manager 5.3. RESULTS: This meta-analysis included 8 studies involving 661 participants, with 305 in the AP group and 356 in the EN group. The results of the meta-analysis demonstrated that the AP group exhibited a higher rate of union (odds ratio: 8.61, 95% confidence intervals (CI): 4.12 - 17.99, p < 0.001), shorter union time (standardized mean difference (SMD): -1.08, 95% CI: -1.79 - -0.37, p = 0.003), reduced duration of the surgical procedure (SMD: -0.56, 95% CI: -0.93 - -0.19, p = 0.003), less bleeding (SMD: -1.5, 95% CI: -2.81 - -0.18, p = 0.03), and a lower incidence of complications (relative risk: -0.17, 95% CI: -0.27 - -0.06, p = 0.001). In the subgroup analysis, the time for union in the AP group in nonisthmal and isthmal nonunion of lower extremity long bones was shorter compared to the EN group (nonisthmal SMD: -1.94, 95% CI: -3.28 - -0.61, p < 0.001; isthmal SMD: -1.08, 95% CI: -1.64 - -0.52, p = 0.002). CONCLUSION In the treatment of nonunion in diaphyseal fractures of the long bones in the lower extremity, the AP approach is superior to EN, both intraoperatively (with reduced duration of the surgical procedure and diminished blood loss) and postoperatively (with an elevated union rate, shorter union time, and lower incidence of complications). Specifically, in the management of nonunion of lower extremity long bones with non-isthmal and isthmal intramedullary nails, AP demonstrated shorter union time in comparison to EN.
Humans ; Bone Nails/adverse effects* ; Bone Plates/adverse effects* ; Femoral Fractures/surgery* ; Fracture Fixation, Intramedullary/methods* ; Fractures, Ununited/surgery* ; Lower Extremity/injuries*

PURPOSE: We carried out the study aiming to explore and analyze the risk factors, the distribution of pathogenic bacteria, and their antibiotic-resistance characteristics influencing the occurrence of surgical site infection (SSI), to provide valuable assistance for reducing the incidence of SSI after traumatic fracture surgery. METHODS: A retrospective case-control study enrolling 3978 participants from January 2015 to December 2019 receiving surgical treatment for traumatic fractures was conducted at Tangdu Hospital of Air Force Medical University. Baseline data, demographic characteristics, lifestyles, variables related to surgical treatment, and pathogen culture were harvested and analyzed. Univariate analyses and multivariate logistic regression analyses were used to reveal the independent risk factors of SSI. A bacterial distribution histogram and drug-sensitive heat map were drawn to describe the pathogenic characteristics. RESULTS: Included 3978 patients 138 of them developed SSI with an incidence rate of 3.47% postoperatively. By logistic regression analysis, we found that variables such as gender (males) (odds ratio (OR) = 2.012, 95% confidence interval (CI): 1.235 - 3.278, p = 0.005), diabetes mellitus (OR = 5.848, 95% CI: 3.513 - 9.736, p < 0.001), hypoproteinemia (OR = 3.400, 95% CI: 1.280 - 9.031, p = 0.014), underlying disease (OR = 5.398, 95% CI: 2.343 - 12.438, p < 0.001), hormonotherapy (OR = 11.718, 95% CI: 6.269 - 21.903, p < 0.001), open fracture (OR = 29.377, 95% CI: 9.944 - 86.784, p < 0.001), and intraoperative transfusion (OR = 2.664, 95% CI: 1.572 - 4.515, p < 0.001) were independent risk factors for SSI, while, aged over 59 years (OR = 0.132, 95% CI: 0.059 - 0.296, p < 0.001), prophylactic antibiotics use (OR = 0.082, 95% CI: 0.042 - 0.164, p < 0.001) and vacuum sealing drainage use (OR = 0.036, 95% CI: 0.010 - 0.129, p < 0.001) were protective factors. Pathogens results showed that 301 strains of 38 species of bacteria were harvested, among which 178 (59.1%) strains were Gram-positive bacteria, and 123 (40.9%) strains were Gram-negative bacteria. Staphylococcus aureus (108, 60.7%) and Enterobacter cloacae (38, 30.9%) accounted for the largest proportion. The susceptibility of Gram-positive bacteria to Vancomycin and Linezolid was almost 100%. The susceptibility of Gram-negative bacteria to Imipenem, Amikacin, and Meropenem exceeded 73%. CONCLUSION Orthopedic surgeons need to develop appropriate surgical plans based on the risk factors and protective factors associated with postoperative SSI to reduce its occurrence. Meanwhile, it is recommended to strengthen blood glucose control in the early stage of admission and for surgeons to be cautious and scientific when choosing antibiotic therapy in clinical practice.
Humans ; Surgical Wound Infection/epidemiology* ; Male ; Female ; Risk Factors ; Retrospective Studies ; Middle Aged ; Adult ; Case-Control Studies ; Fractures, Bone/surgery* ; Aged ; Drug Resistance, Bacterial ; Logistic Models ; Anti-Bacterial Agents/therapeutic use* ; Incidence ; Bacteria/drug effects*

Paraganglioma（PGL）is an extra-adrenal catecholamine-secreting endocrine tumor. We reported a young female patient who was admitted to the hospital with right flank pain and diagnosed with right retroperitoneal PGL with Mayo Ⅳ inferior vena cava tumor thrombus（double tumor thrombus）. After multidisciplinary consultation，right retroperitoneal PGL resection，right nephrectomy，inferior vena cava Mayo Ⅳ tumor thrombus resection and reconstruction were performed. Postoperative pathology showed that the primary tumor and inferior vena cava tumor thrombus was consistent with PGL. Genetic testing revealed a heterozygous germline nonsense mutation at c.69_70delinsTT（p.Q24*）locus of the SDHB gene in the patient. His mother was a carrier of the gene，but his father and sister did not carry the mutation. The patient recovered smoothly after surgery.

Objective:To investigate the influencing factors of the quality of inpatient medical record home page information in public hospitals under the background of the reform of diagnosis related groups(DRG)-based payment system and their mechanisms of action, so as to provide references for continuous improvement of the quality of medical record home page information.Methods:From July to August 2024, semi-structured interviews were conducted with clinical physicians and personnel engaged in the filling, quality control, review, and management of inpatient medical record home pages in public hospitals in Hangzhou, using purposeful sampling. The interview data were qualitatively analyzed based on the grounded theory to identify the influencing factors of the quality of medical record home page information and construct a theoretical model of the mechanisms of action of these factors.Results:Through open coding of the 17 interview materials, 53 initial concepts and 13 categories were identified. Further induction through axial coding led to the extraction of four main categories: external environment, organizational resources, person-job fit, and work ecology. The theoretical model of the mechanisms of action of the influencing factors on the quality of medical record home page information was as follows: external environmental factors such as policies and regulations played a macroscopic guiding role in the quality of medical record home pages; organizational resource factors such as the hospital′s information construction played a mesoscopic regulating role in the quality of medical record home pages; person-job fit factors such as the professional skills of clinical physicians and medical record-related staff played a direct driving role in the quality of medical record home pages; and work ecology factors such as the workload of clinical physicians and medical record-related staff played an external modulating role in the quality of medical record home pages.Conclusions:Under the background of DRG reform, the quality of inpatient medical record home page information was influenced by multiple factors. To systematically improve the quality of medical record home page information, it is necessary for multiple parties to work together. Relevant government departments should improve the top-level design and optimize the external environment, guide and assist medical institutions in building quality control systems, and strengthen resource allocation. Medical institutions should focus on enhancing the job competence and person-job fit of relevant personnel and also use intelligent means to optimize work processes to reduce workload.

Objective To translate Evidence-Informed Decision-Making Competence Measure for Chinese nurses and test its validity and reliability.Methods A research group was set up to use the Brislin translation model to translate the original scale into Chinese,and the back translation,cross-cultural adaptation,pre-experiment and cognitive interview were conducted to finally form the Chinese version of the Evidence-Informed Decision-Making Competence Measure for nurses.A total of 1 247 nurses from 7 tertiary A hospitals in Beijing,Hubei,Hunan and Xinjiang were selected by convenience sampling method in April 2024 to test its reliability and validity.Results 1 026 effective question-naires were collected,with an effective recovery rate of 82.28％.The Chinese version of the Evidence-Informed Decision-Making Competence Measure included 25 items,including knowledge/skill,attitude and behavior.A total of 3 common factors were extracted from exploratory factor analysis,and the cumulative variance contribution rate was 91.725％.The content validity index at the item level was 0.83-1.00;the content validity index at the scale level was 0.988;the calibration association validity was 0.496.The Cronbach's α coefficient of the whole scale was 0.992;the half-point reliability was 0.930;the retest reliability was 0.927.Conclusion The Chinese version of Evidence-Informed Decision-Making Competence Measure for nurses has good reliability and validity,and it can be used to evaluate the evidence-informed decision-making competence of Chinese nurses,provide references for promoting evidence-based nursing practice and evidence-informed decision-making.