ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

Objective: To investigate the epidemiological characteristics and spatial-temporal clustering of varicella in Changchun City from 2020 to 2024, so as to provide the evidence for formulating local varicella prevention and control measures. Methods: The individual case data of varicella were collected through the Surveillance and Reporting Management System of the Chinese Disease Prevention and Control Information System in Changchun City from 2020 to 2024. Descriptive epidemiological methods were used to analyze the population ,regional, and temporal distribution. Spatial autocorrelation and spatio-temporal scanning analyses were used to identify the spatial-temporal clustering characteristics. Results: A total of 8 850 varicella cases were reported in Changchun City from 2020 to 2024, with an average annual incidence of 19.64/105. There were 4 929 male cases and 3 921 female cases, with a male-to-female ratio of 1.26∶1. The age was mainly 0-<20 years (6 649 cases, 75.13%), and students were the predominant occupation (6 036 cases, 68.20%). The top three counties (cities, districts) with the highest number of cases were Chaoyang District (1 944 cases), Gongzhuling City (1 054 cases) and Nanguan District (987 cases), accounting for 45.03%. The peak incidence periods were from April to June and from October to December, with 2 166 and 4 226 cases, accounting for 24.47% and 47.75%, respectively. Spatial autocorrelation analysis showed that spatial clustering existed from 2020 to 2024. The high-high clustering areas were mainly some townships (streets) in Chaoyang District, Nanguan District, Changchun New District and Jingyue District. Spatio-temporal scanning analysis identified 6 high-risk clustering areas. The class Ⅰ clustering area was Nanhu Street in Chaoyang District, with the clustering period from September 2020 to February 2022. Conclusions Varicella cases in Changchun City were mainly males and students aged 0-<20 years from 2020 to 2024. The peak incidence was mainly in winter. Chaoyang District was a high-risk area, with obvious spatial-temporal clustering.

Lung cancer constitutes the most prevalent and lethal malignant tumor in China. Approximately 85% of lung cancer diagnoses correspond to the non-small cell histological subtype [non-small cell lung cancer (NSCLC)]. Despite surgery being the mainstay for early-stage disease, postoperative recurrence remains high and adjuvant chemotherapy offers limited benefit. In recent years, targeted therapy has demonstrated substantial advantages in driver mutation-positive NSCLC. To this end, the Lung Cancer Medical Education Committee of the Chinese Medical Education Association developed guidelines based on a systematic review of evidence through November 2025, using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach and a modified Delphi method. Focusing on epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK), and addressing ROS proto-oncogene 1 (ROS1), B-Raf proto-oncogene serine/threonine kinase (BRAF) V600E mutation, and mesenchymal-epithelial transition factor (MET) exon 14 (METex14) skipping, the guideline covers molecular testing, neoadjuvant/adjuvant therapy, perioperative strategies, minimal residual disease monitoring, and postoperative surveillance. It defines testing requirements, specifies stage-directed and subtype-specific treatments, and standardizes minimal residual disease monitoring. These recommendations emphasize precision and feasibility to improve survival and quality of life.

OBJECTIVE To investigate the clinical efficacy and mechanism of Gongliuxiao capsule combined with dienogest （DNG） in the treatment of refractory/recurrent endometriosis （EMT）. METHODS A retrospective analysis was conducted on the clinical data of 94 patients with refractory/recurrent EMT admitted to Qingdao TCM Hospital from January 2022 to January 2025. According to different treatment methods， they were divided into a monotherapy group （47 cases， receiving DNG monotherapy） and a combination group （47 cases， receiving Gongliuxiao capsule combined with DNG）. The cl inical efficacy， symptom and sign scores [Visual Analog Scale （VAS） and Pictorial Blood Loss Assessment Chart （PBAC） scores ] ， vascular endothelial function indicators [serum transforming growth factor-β 1 （TGF-β 1 ）， vascular endothelial growth factor （VEGF）， matrix metalloproteinase-2 （MMP-2）， MMP-9， basic fibroblast growth factor （bFGF） ] ， serum pathological factors [carbohydrate antigen 125 （CA125）， CA199， anti-endometrial antibody （EMAb） ] ， and Th1/Th2 drift indicators [interferon-γ （IFN-γ）， interleukin-4 （IL-4） ] were compared between the two groups before and after 6 months of treatment. RESULTS After treatment， the VAS and PBAC scores， serum levels of TGF-β 1 ， VEGF， MMP-2， MMP-9， bFGF， CA125， CA199， EMAb， and IL-4 in both groups were significantly lower than those before treatment， while IFN-γ levels were significantly higher than those before treatment （ P ＜0.05）. Moreover， the magnitude of increase or decrease in the combination group was significantly greater than that in the monotherapy group （ P ＜0.05）. The total effective rate in the combination group was significantly higher than that in the monotherapy group （93.62% vs. 76.60%， P ＜0.05）. CONCLUSIONS The combination of Gongliuxiao capsule and DNG is effective in treating refractory/recurrent EMT， and can effectively improve the degree of dysmenorrhea and abnormal menstrual volume in patients. The mechanism may be related to improving vascular endothelial function， inhibiting the expression of tumor pathological factors， and correcting Th1/Th2 drift.

ObjectiveThis study examined KCCQ symptom score trajectories during the vulnerable phase of heart failure and their association with readmission within 6 months. MethodsThis prospective cohort study included 1 109 patients hospitalized for chronic heart failure at a tertiary hospital in Nanchang， China， between August 2020 and July 2025. KCCQ scores were assessed at six time points： day 3 after admission， discharge， and 1， 2， 3， and 6 months after discharge. Group-based trajectory modeling was used to identify patterns of change in KCCQ scores. Multiple logistic regression was used to assess the association between trajectory membership and readmission risk. ResultsDuring follow-up， 229 patients were readmitted， accounting for 20.6% of the cohort. Four KCCQ trajectories were identified： persistently declining scores （n=228， 20.6%）， persistently improving scores （n=110， 9.9%）， stable intermediate scores （n=545， 49.1%）， and stable high scores （n=226， 20.4%）. Compared with the stable intermediate group， the persistently declining group had a higher risk of readmission in the fully adjusted model （OR=2.099， 95% CI： 1.027–4.315， P=0.043）， whereas the stable high-score group had a lower risk （OR=0.260， 95% CI： 0.127–0.494， P<0.001）. The association between the persistently improving trajectory and readmission was not statistically significant （OR=0.614， 95% CI： 0.306–1.154， P=0.147）. ConclusionsKCCQ symptom score trajectories during the vulnerable phase of heart failure show marked heterogeneity and are associated with readmission within 6 months. A persistently declining trajectory is associated with higher readmission risk， whereas a stable high-score trajectory is associated with lower risk. Longitudinal monitoring of KCCQ score changes may help inform post-discharge risk stratification and follow-up management in patients with heart failure.

ObjectiveThis study examined KCCQ symptom score trajectories during the vulnerable phase of heart failure and their association with readmission within 6 months. MethodsThis prospective cohort study included 1 109 patients hospitalized for chronic heart failure at a tertiary hospital in Nanchang， China， between August 2020 and July 2025. KCCQ scores were assessed at six time points： day 3 after admission， discharge， and 1， 2， 3， and 6 months after discharge. Group-based trajectory modeling was used to identify patterns of change in KCCQ scores. Multiple logistic regression was used to assess the association between trajectory membership and readmission risk. ResultsDuring follow-up， 229 patients were readmitted， accounting for 20.6% of the cohort. Four KCCQ trajectories were identified： persistently declining scores （n=228， 20.6%）， persistently improving scores （n=110， 9.9%）， stable intermediate scores （n=545， 49.1%）， and stable high scores （n=226， 20.4%）. Compared with the stable intermediate group， the persistently declining group had a higher risk of readmission in the fully adjusted model （OR=2.099， 95% CI： 1.027–4.315， P=0.043）， whereas the stable high-score group had a lower risk （OR=0.260， 95% CI： 0.127–0.494， P<0.001）. The association between the persistently improving trajectory and readmission was not statistically significant （OR=0.614， 95% CI： 0.306–1.154， P=0.147）. ConclusionsKCCQ symptom score trajectories during the vulnerable phase of heart failure show marked heterogeneity and are associated with readmission within 6 months. A persistently declining trajectory is associated with higher readmission risk， whereas a stable high-score trajectory is associated with lower risk. Longitudinal monitoring of KCCQ score changes may help inform post-discharge risk stratification and follow-up management in patients with heart failure.

Objective:To explore the influence of artificial intelligence(AI)-assisted compressive sensing(ACS)technique with different acceleration factors on the image quality and scan time of three dimensional time-of-flight magnetic resonance angiography(3D-TOF-MRA)for brain.Methods:Thirty participants who underwent brain magnetic resonance imaging(MRI)at Tongzhou Branch of Beijing Friendship Hospital were recruited.All subjects underwent imaging scans about four different parameters:a non-accelerated technique(control group),ACS technique integrated with acceleration factor of 4.03(ACS4 group),ACS technique integrated with acceleration factor of 5.02(ACS5 group),and ACS technique integrated with acceleration factor of 6.06(ACS6 group).The image clarity,ranking of imaging capabilities of distal branch blood vessels and the ratio of pseudo-stenosis were qualitatively analyzed.The signal-to-noise ratio(SNR),contrast-to-noise ratio(CNR),edge sharpness,and scan time were quantitatively analyzed.Results:There was not difference in vessel clarity among three ACS groups at the proximal and middle intracranial segments.For distal segments of blood vessel,the ACS4 group[3.0(3.0,3.0)]and ACS5 group[3.0(3.0,3.0)]were better than ACS6[2.5(2.0,3.0)](q=29.800,27.500,P<0.05).The imaging capabilities of distal-branch vessel of ACS4 group and ACS5 group were better than ACS6 group.There was no stenosis in the proximal and middle segments of the images of the three ACS group,and there were no stenosis in the images of distal vessels of ACS4 group and ACS5 group.A total of 5 cases were pseudo-stenosis in the distal vessels of ACS6 group.Compared with the control group,the incidence of pseudo-stenosis in the distal vessels of ACS6 group was 16.7%.The SNR and CNR values of quantitative analysis for proximal vessels in ACS6 group were higher than them in ACS4 group(q=27.800,26.200,P<0.05),and there was not significant difference in them among ACS4 group,ACS6 group and ACS5 group(P>0.05).The differences of SNR and CNR values in the middle and distal segments of blood vessels among different groups were not significant(P>0.05).There was not significant difference in the edge sharpness of blood vessels among ACS4 group,ACS5 group,and ACS6 group(P>0.05),while all of them were higher than those of control group,and the differences were significant(q=48.150,53.367,44.883,P<0.001).Compared with control group,the scan-time of ACS4 group was reduced by 55.19%,and that of ACS5 group was reduced by 64.07%,and that of ACS6 group was reduced by 70%.Conclusion:ACS technique can accelerate the imaging speed of brain 3D-TOF-MRA and ensure image quality.It is clinically recommended to set the ACS acceleration factor as 5.02 to undergo brain 3D-TOF-MRA scans.

With advancements in interventional radiology, the interventional diagnosis and treatment are widely applicable for pediatric cardiac diseases. The ionizing radiation during interventional procedures can result in an elevated cancer risk, directly proportional to the radiation dose received. Moreover, it may induce tissue reactions beyond a specific threshold. Given that children are about 2-3 times susceptible to radiation as much as adults, it will be crucial to improve dose control during pediatric interventions, establish the corresponding diagnostic reference level and optimize the diagnosis and treatment procedures. Some countries have carried out dose monitoring and evaluation of pediatric cardiac interventional procedures and established corresponding diagnostic reference levels, but it has yet been in the process of research. This paper reviews the current research status on assessing radiation doses and setting diagnostic reference levels for children receiving congenital heart disease interventions so as to provide a baseline for future measurements and investigations.

Methods: This retrospective study analyzed 32 consecutive IDS patients who underwent UEDD surgery. Clinical features, laboratory data (erythrocyte sedimentation rate and C-reactive protein), and treatment outcomes were analyzed. Results: Definite microorganisms were identified in 27 patients (84.3%), with 24 (88.9%) meeting cure criteria. The cure rate was significantly higher in the detected pathogen group compared to the undetected pathogen group (88.9% vs. 80%; χ²=19.36, p<0.0001). Metagenomic next generation sequencing (mNGS) provided faster diagnosis (41.72±6.81 hours) compared to tissue culture (95.74±35.47 hours, p<0.05). The predominant causative pathogen was Mycobacterium tuberculosis, followed by Staphylococcus aureus. Significant improvements were observed in Visual Analog Scale pain scores, from a mean of 7.9 preoperatively to 1.06 at 1 year postoperatively. The Oswestry Disability Index revealed a similar trend, showing significant improvement (p<0.05). Conclusions UEDD is a viable alternative to traditional open surgery for managing IDS in high-risk patients. UEDD offers a dual therapeutic-diagnostic advantage during the initial admission phase, enabling simultaneous debridement, neurological decompression, and targeted biopsy in a single intervention. Compared with traditional tissue culture, mNGS enables rapid microbiological diagnosis and extensive pathogen coverage.