Allergen specific immunotherapy（AIT）, as an effective treatment for allergic rhinitis, asthma, and other allergic diseases, has received widespread attention in the field of health economic evaluation in recent years. This article reviews the current status and progress of economic research on AIT, mainly discussing the socioeconomic burden of allergic rhinitis, the results of health economic studies from different countries, and the primary methods used in health economic research on allergic rhinitis. Existing studies indicate that, although AIT involves high initial costs, it offers significant long-term economic benefits by reducing healthcare resource utilization, improving patient quality of life, and decreasing medication dependence. Moreover, reducing initial costs, applying standardized assessment tools, and conducting cross-national comparative analyses have become key directions for future research. Overall, AIT demonstrates strong potential in terms of long-term health benefits and cost savings, providing solid economic evidence for the management of allergic diseases.
Humans ; Desensitization, Immunologic/economics* ; Cost-Benefit Analysis ; Rhinitis, Allergic/economics* ; Economics, Medical

Liver cancer imposes a substantial global disease burden.Hepatocellular carcinoma(HCC),as the primary pathological type of primary liver cancer,accounts for approximately 90％of all cases.As a minimally invasive treatment,thermal ablation causes minimal impact on liver function and trauma,serving as the first-line treatment option for early-stage HCC patients unsuit-able for surgical resection.However,clinical data indicate that 5-year recurrence rate of HCC pa-tients after thermal ablation treatment is as high as 50％～70％,and incomplete ablation remains a core factor leading to recurrence.Therefore,exploring and optimizing complete ablation strategies has become a critical direction for improving the efficacy of thermal ablation in HCC and enhanc-ing long-term survival rates of patients.This paper systematically reviews the current applications of thermal ablation in HCC treatment and focuses on discussing key technologies and strategies for achieving complete ablation,with the aim of providing theoretical foundations and technical refer-ences for improving the complete ablation rate of thermal ablation in clinical practice and formu-lating personalized diagnosis and treatment plans.

Thoracolumbar spine fracture often leads to severe pain, functional impairments, and neurological deficits, for which open reduction and internal fixation can effectively restore the spinal structural stability. Open decompression and reduction with internal fixation can help relieve spinal cord compression and improve spinal function in cases of concomitant cord injury. Although spinal stability can be restored through surgery, patients often face chronic pain and functional impairments postoperatively. A postoperative rehabilitation program is critical in optimizing therapeutic outcomes, reducing complications, and minimizing the risk of secondary injuries. However, current rehabilitation methods, such as physical therapy, functional training, and pain management, are confronted with problems in clinical practice, including significant variation in efficacy, poor patient adherence, and prolonged rehabilitation period. There is an urgent need for a unified rehabilitation strategy to address these problems. To this end, the Spinal Trauma Group of the Orthopedic Physicians Branch of the Chinese Medical Association and the Spine Health Professional Committee of the Chinese Human Health Technology Promotion Association organized experts from relevant fields to formulate Evidence-based guidelines for rehabilitation treatment after internal fixation of thoracolumbar spine fracture in adults ( version 2025) by integrating evidences from clinical researches and advanced rehabilitation concepts at home and abroad. A total number of 14 recommendations concerning the rehabilitation treatment with multimodal analgesia, psychological intervention, deep vein thrombosis prevention, core muscle and extremity exercise, appropriate use of braces, early weight-bearing, device-aided rehabilitation exercise, neuroregulatory therapy, rehabilitation team were put forward, aiming to standardize the post-operative rehabilitation process following internal fixation, promote the functional recovery, and enhance patients′ quality of life.

Objective:To explore the value of 18F-FDG PET brain imaging in the auxiliary diagnosis of autoimmune encephalitis (AE) before treatment, and to analyze the regional and course-related characteristics of brain metabolic changes. Methods:The 18F-FDG PET brain imaging data of 49 AE patients (26 males, 23 females, age 48.0(29.0, 61.0) years) who did not receive first-line immunotherapy were retrospectively analyzed. Patients were collected from Renji Hospital, Shanghai Jiao Tong University School of Medicine, between July 2015 and December 2023. Forty-nine age- and gender-matched healthy subjects who underwent routine physical examination at the same time period were selected as the healthy controls (HC). The statistical parametric mapping (SPM) 8 two-sample t test ( P<0.001, k=50) was used to compare the imaging results of AE patients with those of HC. The screening results were adjusted by the cluster-level family-wise error rate (FWER) for P<0.05. Metabolic abnormalities associated with AE were identified, and differences in metabolic patterns at different stages of the disease course (short: ≤1 month; medium: >1 month and ≤3 month; long: >3 month) were compared by subgroup analysis. Mann-Whitney U test was used to analyze the data. Results:In the included AE patients, regions with elevated metabolism were mainly located in the limbic lobe, insula, putamen, and amygdala ( t values: 3.18-5.07, Z values: 3.17-4.76), while local metabolic reduction was observed in the frontal, parietal, and occipital lobes ( t values: 3.18-5.43, Z values: 3.23-5.06), with most of these regions passing FWER correction. In patients with anti- N-methyl- D-aspartate receptor (NMDAR) encephalitis, local metabolism increased in the right superior temporal gyrus ( t values: 3.55-4.79, Z values: 3.67-3.86) and decreased in the left middle temporal gyrus and inferior frontal gyrus ( t values: 3.55-5.43, Z values: 3.45-4.21), but the results did not pass the FWER correction. Subgroup analysis showed that in patients with short disease course ( n=17), regions with locally elevated metabolism included the brainstem, limbic lobe, and cerebellum ( t values: 3.37-5.27, Z values: 3.52-4.44), while regions with reduced metabolism were mainly located in the frontal, parietal, and occipital lobes ( t values: 3.37-6.77, Z values: 3.34-5.30), and these abnormal results all passed FWER correction. In patients with medium ( n=7) to long ( n=25) disease course, the regions with metabolic abnormalities were significantly reduced and did not pass FWER correction. Conclusions:18F-FDG PET can accurately identify brain metabolic abnormalities in AE patients, demonstrating significant regional and course-related characteristics. Metabolic abnormalities are more pronounced in patients with short disease course, while they are relatively less obvious in patients with medium to long disease course.

Objective:To construct a model of mitochondria-related genes (Mito-RGs) in hepatocellular carcinoma (HCC), and predict the immune, prognostic and therapeutic characteristics of HCC based on the model, so as to provide a new idea for the diagnosis and treatment of HCC.Methods:The expression profiles of HCC and corresponding clinical information were obtained from the Cancer Genome Atlas (TCGA) database. Univariate Cox regression, Least Absolute Shrinkage and Selection Operator (LASSO) regression and multivariate Cox regression were used to construct a prognostic model of HCC based on Mito-RGs, and the International Cancer Genome Consortium-Liver Cancer-RIKEN-Japan ICGC-LIRI-JP dataset were used for validation. GO and KEGG analyses were performed to investigate the signaling pathways enriched for differentially expressed genes in the high- and low-risk groups. Immune infiltration was assessed using CIBERSORT. Single-cell data were used to study the proportion of immune cells in high- and low-risk groups of HCC samples and the relationship with cell proliferation. Cellminer was used to assess the relationship between risk score models and drug sensitivity.Results:A risk-prognostic model of HCC containing seven Mito-RGs ( DTYMK, ACADS, HMGCS2, CYP27A1, TOMM40L, STOM, and AKR1B10) was constructed. High-risk HCC patients had a worse prognosis. Genes upregulated in the high- and low-risk groups of differentially expressed genes were enriched in cell cycle and metabolism-related pathways. Single-cell data showed higher proportions of CD8 + T cells, macrophages and monocytes, and proliferating cells in the high-risk group. CIBERSORT analysis suggested that Treg cells and M0 macrophages were more abundant in the high-risk group, whereas CD8 + T cells and CD4 + memory T cells were less abundant. Patients in the high-risk group were more sensitive to myeloid cell leukemia sequence 1 inhibitor, vincristine, phosphatidylinositol kinase beta subunit inhibitor, and aurora kinase A, while trametinib, selumetinib, extracellular regulated protein kinase, and mitogen-activated extracellular signal-regulated kinase were more effective in the low-risk group. Conclusion:The constructed Mito-RGs model is capable of providing a more accurate assessment of the prognosis and the degree of immune cell infiltration in HCC patients.

Objective:To analyze the effects of the disease and injury spectrum on health-adjusted life expectancy (HALE) among permanent residents aged 55 and above in Shenzhen from 2016 to 2030.Methods:Based on the mortality surveillance data and the permanent resident population data in Shenzhen from 2016 to 2022, the Sullivan method was used to calculate the HALE during 2016—2022. The Bayesian age-period-cohort model and the grey system model were used to predict the HALE during 2023—2030. The HALE changes in the two periods were decomposed into the contributions of 20 categories of diseases and injuries, respectively.Results:From 2016 to 2022, the HALE increased from 31.41 years (95% CI: 30.50-32.32) to 33.57 years (95% CI: 32.47-34.67). During this period, the mortality effect of neurological disorders slowed the increase of HALE, with a reduction of 0.27 years. By 2030, it is anticipated that the HALE will reach 36.40 years (95% CI: 34.78-38.01). This is expected to be influenced by the mortality effects of nutritional deficiencies (-0.40 years) and mental disorders (-0.29 years), as well as the disability effects of musculoskeletal disorders (-0.66 years), skin and subcutaneous diseases (-0.21 years) and nutritional deficiencies (-0.13 years). Conclusion:The HALE of permanent residents aged 55 years and above in Shenzhen demonstrated an increasing trend over time. Greater attention should be paid to the adverse effects of neurological disorders, nutritional deficiencies, mental disorders, musculoskeletal disorders, and skin and subcutaneous diseases on the continuous increase of HALE in this population.

Objective To analyze the medication patterns of LAN Shi Mi Cang in treating diseases related to the spleen and stomach.Methods Search for prescriptions for treating spleen and stomach-related diseases in LAN Shi Mi Cang,a total of 95 prescriptions and 150 traditional Chinese medicines were included.The usage frequency,four Qi,five Wei and channel tropism of traditional Chinese medicine were analyzed,and the correlation degree,core drugs and new formula combinations were analyzed by using correlation analysis,cluster analysis and complex network analysis.Medication rules of Li Dongyuan in treating diseases related to spleen and stomach were summarized.Results The top three most frequently used herbs are Danggui,Shengma,and Gancao.These herbs generally exhibit warm,neutral,or cold properties,with flavors predominantly pungent,sweet,or bitter,primarily affecting the spleen and stomach meridians.The most closely associated herb pair is Danggui-Shengma.Core herbs include Huangqi,Shengma,and Chaihu,et al.Cluster analysis identified four distinct herbal combinations.Conclusion Li Dongyuan's treatment of diseases related to the spleen and stomach mainly focuses on tonifying the spleen and stomach,harmonizing Qi and blood,sweet and warm to remove heat,and raising Yang to disperse fire.It also treats external infections and internal injuries,as well as symptoms of excess and root deficiency.

Objective:To evaluate the clinical value of sacral canal posterior wall reconstruction in the treatment of symptomatic sacral canal cysts.Methods:A retrospective cohort study was conducted.The clinical data of 80 patients with symptomatic sacral cysts who underwent surgical treatment at Beijing Friendship Hospital, Capital Medical University, between June 2018 and September 2024 were collected. There were 19 males and 61 females, with an average age of (49.0±11.3) years (ranged from 23-76 years). The patients were divided into the traditional group ( n=30) and the reconstruction group ( n=50) based on the surgical approach. The traditional group underwent the conventional surgical method without reconstruction of the posterior wall of the sacral canal, while the reconstruction group underwent posterior wall reconstruction of the sacral canal. Postoperative observations included the integrity of the sacral canal posterior wall, wound healing, and symptom improvement in both groups. Measurement data with normal distribution were expressed as mean±standard deviation( ± s). Independent samples t-test was used for comparisons of measurement data between groups. Categorical data were compared using the chi-square test or Fisher′s exact test. Ordinal data were analyzed using the Mann-Whitney U test. Pearson correlation analysis was used to assess the relationship between variables. Results:Among the 80 patients, the sacral bone integrity score in the reconstruction group was (1.42±0.49) scores, compared to (3.00±0.00) scores in the traditional group, the reconstruction group showed significantly better results ( P<0.05). Symptom improvement was also significantly different between the two groups ( P=0.038): in the traditional group, 17 patients experienced complete symptom resolution, 6 partial improvement, 7 no improvement, and 0 worsening; in the reconstruction group, 37 had complete symptom resolution, 11 partial improvement, 2 no improvement, and 0 worsening. The effective improvement rate (complete+ partial improvement) in the reconstruction group was significantly better than that in the traditional group ( P=0.012). In terms of wound healing, 76 cases healed well, 4 had delayed healing, and 0 had infections. In the traditional group, 27 healed well, 3 had delayed healing, 0 infections; in the reconstruction group, 49 healed well, 1 had delayed healing, and 0 infections. There was no significant difference in wound healing rate between the two groups ( P=0.146). A significant positive correlation was found between sacral canal posterior wall integrity and symptom improvement ( r=0.288, P=0.010). Conclusion:Sacral canal posterior wall reconstruction significantly improves postoperative anatomical integrity and clinical outcomes without increasing complications, supporting its adoption as a preferred surgical approach for symptomatic sacral canal cysts.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.