Guided by the theory of turbid pathogen disturbing clarity， this paper holds that the pathogenesis of otolith disorders involves the failure of clear yang to ascend and the internal generation of phlegm-turbidity as the initiating factors. The clinical manifestations are characterized by the intermingling of phlegm and fluid， as well as the disturbance between turbid and clear substances， while the root lies in spleen-kidney deficiency and depletion of primordial qi. Treatment strategies are formulated according to the different stages of the disease： in the acute phase， therapy focuses on warming and resolving phlegm-fluid retention， using a modified combination of Linggui Zhugan Decoction （苓桂术甘汤） and Zexie Decoction （泽泻汤）； in the residual phase， the approach shifts to tonifying qi and uplifting clear yang， with a modified combination of Shengxian Decoction （升陷汤） and Shengmai Power （生脉散）； in the consolidation phase， therapy aims to tonify the kidney and replenish essence， employing a modified version of Qiju Dihuang Pill （杞菊地黄丸）.

Objective To explore the efficiency improvement in segmenting neural network with the application of Transformer + U-Net artificial intelligence (AI) and modeling with the application of Python scripts in three-dimensional (3D) printing brachytherapy. Methods A Transformer + U-Net AI neural network model was constructed, and Adam optimizer was used to ensure rapid gradient descent. Computed tomography or magnetic resonance imaging data of patients were standardized and processed as self-made data sets. The training set was used to train AI and the optimal result weight parameters were saved. The test set was used to evaluate the AI ability. Python programming language was used to write an automated script to obtain the output segmentation image and convert it to the STL file for import. The source applicator and needle could be automatically modeled. The time of automatic segmentation and modeling and the time of manual segmentation and modeling were entered by two people, and the difference was verified by paired t-test. Results Dice similarity coefficient (DSC), mean intersection over union (MIOU), and Hausdorff distance (HD95) were used for evaluation. DSC was 0.9341, MIOU was 0.8762, and mean HD95 was 2.516. The mean time of manual segmentation was 1187 s, and the mean time of AI segmentation was 145 s (P < 0.01). The mean time of manual modeling was 321 s, and the mean time of modeling with Python automated scripts was 18 s (P < 0.01). Conclusion The application of Transformer + U-Net automatic segmentation and Python automated scripts can effectively improve work efficiency in the 3D printing brachytherapy for cervical cancer.

Objective To explore the perioperative trend of heart rate variability(HRV)in patients undergoing aortic valve replacement(AVR)under cardiopulmonary bypass and investigate the influence of age and/or postoperative atrial fibrillation(POAF)on this trend.Methods Baseline and clinical data of 134 patients undergoing AVR due to aortic valve disease in Department of Car-diovascular Surgery of Northern Theater General Hospital of PLA from January 2021 to January 2023 were collected and retrospectively studied.According to the age and/or POAF,they were divided into group A(aged＜60 years,no POAF,49 cases),group B(aged＜60 years,complicated with POAF,21 cases),group C(aged≥60 years,no POAF,30 cases)and group D(aged≥60 years,with POAF,34 cases).The dynamic electrocardiogram indicators were collected in 7 d be-fore and 7 d after operation.The changes in perioperative HRV were also observed.Results After operation,the standard deviation of sinus heart beat RR intervals,average of the standard devia-tions of NN intervals for each 5 min segment of a 24 h HRV recording(SDNNidx),root mean square of successive RR interval differences,and percentage of successive RR intervals that differ by more than 50 ms were significantly lower than those in 7 d before operation[61.172±17.449 ms vs 804.567±230.518 ms,20.284±9.432 ms vs 42.933±12.876 ms,1.307±0.196 ms vs 1.412±0.148 ms,3.00(1.30,7.23)ms vs 5.30(3.00,10.40)ms,P＜0.01].The group D had obvi-ously lower SDNNidx than the group A in 7 d after surgery(42.568±14.749 ms vs 46.467±11.754 ms,P＜0.05).Conclusion Autonomic dysfunction is observed in the early stage after AVR.For the patients aged≥60 years with POAF,the HRV indicators are significantly decreased,the dys-function of the vagus nerve is aggravated,and the disorder is exacerbated because of their syner-gistic effect.

Idiopathic pulmonary fibrosis(IPF)is a fatal interstitial lung disease characterized by progressive scarring of the lung parenchyma,often result ing in death from respiratory failure in its terminal stages,with a median survival of only 3 to 5 years.Experimental models are essential tools for investigating the pathogenesis of IPF,screening potential drugs,and evaluating therapeutic efficacy.In addition to animal and cell models,the recent development of precision medicine and multi-omics technologies has increased attention on the need to establish models that integrate traditional Chinese medicine(TCM)syndromes with disease patterns,as well as emerging organoid models.IPF experimental models have evolved from simulating a single pathological aspect to multidimensional models that integrate genetic heterogeneity,microenvironment interactions,and the TCM pathophysiological mechanisms of"phlegm,stasis,deficiency,and collateral damage".This systematic review considers the strategies used to construct IPF experimental models,the detection indicators,TCM syndrome research,and evaluation systems,with the aim of providing a reference for IPF-related research.

Emergence agitation(EA)is a common complication after general anesthesia,especially in children and adolescents.Remifentanil,as a short-acting μ-receptor agonist,has become an important drug for the prevention and treatment of EA due to its rapid recovery and low risk of respiratory depression.This article reviews the mechanism of action and clinical research progress of remifentanil in the prevention and treatment of EA.Its mechanism of action involves the inhibition of pain signals mediated by traditional μ-receptor activation and potential new mechanism based on neural-endocrine-immune network,including regulation of microglial inflammatory pathways,and the modulation of cytokines and chemokines,etc.Clinical studies have shown that remifentanil can significantly shorten the recovery time,reduce the incidence of EA,and further optimize the analgesic effect and recovery quality by combining with other drugs(such as local anesthetics,sedatives,and opioid drugs).Future research should further explore the mechanism of action of remifentanil,optimize clinical treatment strategies,and conduct large-scale clinical trials to standardize the drug use plan,while paying attention to its long-term effects and the development of multimodal treatment plans to promote the further development of EA prevention and treatment plans.

Background Under the background of global warming, research on association between ambient temperature and risk of injury is needed. Objective To examine the effect of temperature on injury in Bao'an district, Shenzhen and identify the sensitive population, thereby providing a scientific basis for formulating prevention and control strategies and measures of injury. Methods The injury reports from the Injury Surveillance System and the meteorological data of Bao'an District between 2018 to 2022 were collected. The meteorological data were sourced from the fifth generation of the European Centre for Medium-Range Weather Forecasts (ECMWF) land reanalysis data. Based on time-stratified case-crossover design, conditional logistic regression combined with distributed lag nonlinear model was used to evaluate the exposure-response association between ambient temperature and injury. The stratified analyses were further conducted by gender, age, and causes of injury. Results A total of 156205 injury cases were collected from the injury surveillance sentinel hospitals in Bao'an District of Shenzhen from 2018 to 2022, and the median of daily average temperature during the same period was 20.0 ℃. The exposure-response curve showed that the risk of injury was positively correlated with temperature. The linearized analysis revealed that each 1°C increase in temperature was associated with a 1.05% (95%CI: 0.68%, 1.42%) rise in injury risk (ER). Notably, the effect was greater in females (ER=1.31%, 95%CI: 0.67%, 1.94%) than males (ER=0.92%, 95%CI: 0.47%, 1.37%). Among age groups, adults ＞60 years faced the highest risk (ER=1.91%, 95%CI: −0.36%, 4.24%). The top three temperature-associated injury risks were sharp instrument injuries (ER=2.19%, 95%CI: 1.16%, 3.22%), animal injuries (ER=1.71%, 95%CI: 0.86%, 2.56%), and blunt injuries (ER=071%, 95%CI: −0.08%, 1.51%). The impact of temperature on unintentional injuries (ER=1.11%, 95%CI: 0.72%, 1.49%) was higher than that on intentional injuries (ER=0.43%, 95%CI: −0.85%, 1.72%). Severe injuries (ER=2.20%, 95%CI: −3.09%, 7.77%) were more affected by temperature than mild injuries (ER=1.00%, 95%CI: 0.58%, 1.43%) and moderate injuries (ER=1.15%, 95%CI: 0.42%, 1.89%). Conclusion The increase in ambient temperature associates with injury occurrence, and the impact of temperature exhibits obvious heterogeneity among different populations, indicating that targeted intervention measures should be taken for different populations and types of injuries.

Objective : To explore the utility of a nomogram integrating contrast-enhanced CT radiomics with clinical features in the preoperative prediction of WHO/ISUP grade for clear cell renal cell carcinoma(ccRCC). Methods: A total of 214 patients with pathologically proven ccRCC who underwent enhanced CT scan before surgery were retrospectively included. According to the WHO/ISUP grade system, the cases were classified into low-grade(grades Ⅰ-Ⅱ) and high-grade(grades Ⅲ-Ⅳ), and then randomly divided into training and test set with a ratio of 4 ∶1. Regions of interest were segmented from both unenhanced and three-phase enhanced images, and radiomic features were extracted. Feature selection and dimensionality reduction were performed using Spearman rank correlation coefficients and LASSO regression, followed by the construction of the radiomic model with the KNN algorithm. Clinical and semantic imaging features were selected through univariate and multivariate analyses, and a clinical model was developed using the KNN algorithm. The clinical and radiomics signatures were used to construct a combined model and a nomogram was developed. The ROC curve and delong test were used to evaluate the diagnostic performance of the model, while calibration and decision curve analyses assessed its accuracy and clinical applicability. Results: 8 clinical features and 11 radiomic features were selected. The combined model, integrating these clinical and radiomics signatures, exhibited robust predictive performance with AUC values of 0.887 in the training set and 0.800 in the test set. The calibration curve demonstrated good consistency between the nomogram model and actual outcomes, while decision curve analysis indicated a favorable net benefit for the nomogram. Conclusion The nomogram constructed by combining radiomics and clinical signatures can provide evidence for preoperative prediction of ccRCC grade and guide clinical decision-making.

Chronic heart failure （CHF） is the final stage of cardiovascular diseases. It is a complex syndrome， with dyspnea and edema as the main clinical manifestations， and it is characterized by complex disease conditions， difficult cure， and high mortality. Ferroptosis， a new type of programmed cell death， is different from other types of programmed cell death. Ferroptosis is iron-dependent， accompanied by lipid peroxide accumulation and mitochondrial shrinkage， becoming a hot research topic. Studies have confirmed that ferroptosis plays a key role in the occurrence and development of CHF. The regulation of ferroptosis may become a potential target for the treatment of CHF in the future. The theory of Qi deficiency and stagnation refers to the pathological state of original Qi deficiency and abnormal transportation and distribution of Qi， blood， and body fluid， which has guiding significance for revealing the pathogenesis evolution of some chronic diseases. We believe that Qi deficiency and stagnation is a summary of the pathogenesis of ferroptosis in CHF. Deficiency of Qi （heart Qi） is the root cause of CHF， and stagnation （phlegm turbidity and blood stasis） is the branch of this disease. The two influence each other in a vicious circle to promote the development of this disease. Traditional Chinese medicine （TCM） plays an important role in the treatment of CHF， improving the prognosis and quality of life of CHF patients. This paper explores the correlation between the theory of Qi deficiency and stagnation and the mechanism of ferroptosis in CHF. Furthermore， this paper reviews the mechanism of Chinese medicines and compound prescriptions in preventing and treating CHF by regulating ferroptosis according to the principles of replenishing Qi and dredging to remove stagnation， aiming to provide new ideas and methods for the treatment of CHF with TCM.

Objective:To systematically evaluate the application of patient-reported outcome measures (PROMs) in adult lung transplant recipients, and to explore their clinical value in assessing quality of life following transplantation.Methods:This study was a systematic review. Relevant studies published between January 2014 and July 2024 were searched in the PubMed and OVID Medline databases using keywords such as "lung transplantation" "quality of life" "HRQoL" "health indice" "patient-reported outcome measure" "questionnaire" "profile" "scale" "score" and "survey". Only English-language articles were included. Eligible studies were those that applied PROMs to assess quality of life in adult lung transplant recipients and were approved by ethics committees. Reviews, case reports, abstracts, and studies involving transplant candidates or recipients of lung-liver or lung-kidney combined transplantation were excluded. Data extracted included basic study information, study design, participant characteristics, and PROM usage. Frequently used PROMs and lung transplant-specific PROMs were summarized, and results with clearly reported time points were analyzed.Results:A total of 63 studies were included, comprising 54 (85.7%) observational studies and 9 (14.3%) interventional studies. The majority of studies originated from the United States (18 studies, 28.6%). A total of 55 different PROMs were identified, including 30 generic and 25 disease-specific instruments. The five most frequently used PROMs were the Short Form 36 (SF-36; 30 studies, 47.6%), the EuroQol 5 Dimension (EQ-5D; 12 studies, 19.0%), the St. George's Respiratory Questionnaire (SGRQ; 11 studies, 17.5%), the Hospital Anxiety and Depression Scale (HADS; 7 studies, 11.1%), and the modified Medical Research Council dyspnea scale (mMRC; 5 studies, 7.9%). Lung transplant-specific PROMs included the Lung Transplant Quality of Life questionnaire (LT-QOL), the Lung Transplant Valued Life Activities (LT-VLA) scale, and the Pulmonary-Specific Quality of Life Scale (PQLS), which were applied in only 6 studies (9.5%). Across studies, lung transplantation was associated with significant improvements in recipients' quality of life, sustained over a follow-up period of 3 to 60 months.Conclusions:A wide range of PROMs have been employed to assess health-related quality of life in lung transplant recipients; however, transplant-specific PROMs remain relatively scarce. PROMs provide valuable insights for reflecting and dynamically monitoring long-term quality of life, supplementing evidence for clinical decision-making, and optimizing post-transplant care strategies.

Objective:To carry out genetic testing and clinical phenotypic characterization on a four-generation Chinese pedigree affected with Stickler syndrome type I and explore its genotype-phenotype correlation.Methods:A child presented at the Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine in February 2023 for micrognathia, glossoptosis and cleft palate and his family members were selected as the study subjects. Clinical data were collected from the affected members, and peripheral blood samples were obtained from 17 participants (4 patients and 13 asymptomatic individuals). Whole exome sequencing (WES) was carried out. Candidate variant was verified by Sanger sequencing. Genotype-phenotype correlations were analyzed by integrating the sequencing data with evidence from existing literature. This study has bee granted by the Ethics Committee of Guangdong Provincial Hospital of Traditional Chinese Medicine and Guangzhou Women and Children′s Medical Center (Ethics No.: 2022-406B00).Results:The four-generation pedigree has comprised 19 members. In addition to the proband, 5 affected individuals had manifested high myopia, congenital cataracts, and progressive vision loss. Two deceased members reportedly exhibited similar ocular manifestations. Among the four living patients, two had developed retinal detachment, while two others presented with chronic joint pain onset between 35 ~ 40 years of age. One patient required hip replacement surgery at age 42 secondary to femoral head necrosis. The proband, the youngest affected member, exhibited characteristic phenotypes including congenital micrognathia and cleft palate, consistent with Pierre-Robin syndrome. Genetic analysis revealed a heterozygous nonsense mutation in COL2A1 (NM_001844.5: c. 2668C>T; p. Gln890Ter) segregating with the disease in all four symptomatic patients. This variant was absent in asymptomatic family members and unaffected controls. While the mutation is listed in ClinVar, no clinical case reports has associated it with this phenotypic spectrum. It was not observed in population databases (gnomAD v4.1.0, 1000 Genomes Project, or ExAC), supporting its potential pathogenicity. Conclusion:This study has diagnosed a four-generation Chinese pedigree with Stickler syndrome type I attributed to the pathogenic COL2A1 variant c. 2668C>T (p.Gln890Ter), which is a rare nonsense mutation associated with ocular predominance and variable skeletal involvement. Notably, this family exhibited marked clinical heterogeneity despite sharing the identical genotype, which highlighted challenges in phenotype-genotype correlation. The autosomal dominant transmission pattern observed in this pedigree has provided critical insights into COL2A1-related collagenopathies and underscored the necessity of ultrasonographic monitoring for ocular anomalies in prenatal diagnostics. Above findings have advanced our understanding of pleiotropic effects in type Ⅱ collagen disorders and lay the foundation for precision-based genetic counseling, enabling targeted cascade screening and implementation of tertiary prevention strategies against congenital disabilities in high-risk families.