BACKGROUND: Generalized pustular psoriasis (GPP), a rare and recurrent autoinflammatory disease, imposes a substantial burden on patients and society. Awareness of GPP in China remains limited. METHODS: This cross-sectional survey, conducted between September 2021 and May 2023 across 14 hospitals in China, included GPP patients of all ages and disease phases. Data collected encompassed demographics, clinical characteristics, economic impact, disease severity, quality of life, and treatment-related complications. Risk factors for GPP recurrence were analyzed. RESULTS: Among 127 patients (female/male ratio = 1.35:1), the mean age of disease onset was 25 years (1st quartile [Q1]-3rd quartile [Q3]: 11-44 years); 29.2% had experienced GPP for more than 10 years. Recurrence occurred in 75.6% of patients, and nearly half reported no identifiable triggers. Younger age at disease onset ( P  = 0.021) and transitioning to plaque psoriasis ( P  = 0.022) were associated with higher recurrence rates. The median diagnostic delay was 8 months (Q1-Q3: 2-41 months), and 32.3% of patients reported misdiagnoses. Comorbidities were present in 53.5% of patients, whereas 51.1% experienced systemic complications during treatment. Depression and anxiety affected 84.5% and 95.6% of patients, respectively. During GPP flares, the median Dermatology Life Quality Index score was 19.0 (Q1-Q3: 13.0-23.5). This score showed significant differences between patients with and without systemic symptoms; it demonstrated correlations with both depression and anxiety scores. Treatment costs caused financial hardship in 55.9% of patients, underscoring the burden associated with GPP. CONCLUSIONS The substantial disease and economic burdens among Chinese GPP patients warrant increased attention. Patients with early onset disease and those transitioning to plaque psoriasis require targeted interventions to mitigate the high recurrence risk.
Humans ; Male ; Female ; Psoriasis/pathology* ; Adult ; Cross-Sectional Studies ; Adolescent ; Child ; Young Adult ; Quality of Life ; Middle Aged ; China/epidemiology* ; Recurrence ; Risk Factors ; Surveys and Questionnaires ; East Asian People

Traditional Chinese medicines (TCMs) possess a rich historical background, unique theoretical framework, remarkable therapeutic efficacy, and abundant resources. However, the modernization and internationalization of TCMs have faced significant obstacles due to their diverse ingredients and unknown mechanisms. To gain deeper insights into the phytochemicals and ensure the quality control of TCMs, there is an urgent need to enhance analytical techniques. Currently, two-dimensional (2D) chromatography, which incorporates two independent separation mechanisms, demonstrates superior separation capabilities compared to the traditional one-dimensional (1D) separation system when analyzing TCMs samples. Over the past decade, new techniques have been continuously developed to gain actionable insights from complex samples. This review presents the recent advancements in the application of multidimensional chromatography for the quality evaluation of TCMs, encompassing 2D-gas chromatography (GC), 2D-liquid chromatography (LC), as well as emerging three-dimensional (3D)-GC, 3D-LC, and their associated data-processing approaches. These studies highlight the promising potential of multidimensional chromatographic separation for future phytochemical analysis. Nevertheless, the increased separation capability has resulted in higher-order data sets and greater demands for data-processing tools. Considering that multidimensional chromatography is still a relatively nascent research field, further hardware enhancements and the implementation of chemometric methods are necessary to foster its robust development.

Traditional Chinese medicine （TCM） has a long history of application in China and has consistently played a vital role in treating diseases and saving lives. TCM prescriptions （compounds） constitute the primary form of clinical TCM treatment and significantly differ from western medicine （chemicals） due to the diverse composition and chemical constituents of TCM （compounds）. Nevertheless， the potential multi-component， multi-target， and multi-pathway action characteristics of TCM prescriptions also demonstrate their possible （complementary） therapeutic advantages when compared with single-component chemical drugs. Therefore， driven by the development of modern science and technology and the demands of the modernization and internationalization of TCM， modern theories regarding the complexity of TCM prescription effects have been continuously proposed： Different from the abstract language of traditional prescription theory， the modern TCM prescription theory is more inclined to illustrate the connotation of prescription compatibility concretely and vividly from an experimental and scientific perspective. In this paper， new theories on the complexity of TCM prescriptions proposed in recent years are summarized to provide research references and ideas for the greater role of TCM prescriptions and a better scientific understanding.

Background::Atopic dermatitis (AD) affects approximately 10% of adults worldwide. CM310 is a humanized monoclonal antibody targeting interleukin-4 receptor alpha that blocks interleukin-4 and interleukin-13 signaling. This trial aimed to evaluate the efficacy and safety of CM310 in Chinese adults with moderate-to-severe AD.Methods::This multicenter, randomized, double-blind, placebo-controlled, phase 2b trial was conducted in 21 medical institutions in China from February to November 2021. Totally 120 eligible patients were enrolled and randomized (1:1:1) to receive subcutaneous injections of 300 mg CM310, 150 mg CM310, or placebo every 2 weeks for 16 weeks, followed by an 8-week follow-up period. The primary endpoint was the proportion of patients achieving ≥75% improvement in the Eczema Area and Severity Index (EASI-75) score from baseline at week 16. Safety and pharmacodynamics were also studied.Results::At week 16, the proportion of EASI-75 responders from baseline was significantly higher in the CM310 groups (70% [28/40] for high-dose and 65% [26/40] for low-dose) than that in the placebo group (20%[8/40]). The differences in EASI-75 response rate were 50% (high vs. placebo, 95% CI 31%–69%) and 45% (low vs. placebo, 95% CI 26%–64%), with both P values <0.0001. CM310 at both doses also significantly improved the EASI score, Investigator’s Global Assessment score, daily peak pruritus Numerical Rating Scale, AD-affected body surface area, and Dermatology Life Quality Index compared with placebo. CM310 treatment reduced levels of thymus and activation-regulated chemokine, total immunoglobulin E, lactate dehydrogenase, and blood eosinophils. The incidence of treatment-emergent adverse events (TEAEs) was similar among all three groups, with the most common TEAEs reported being upper respiratory tract infection, atopic dermatitis, hyperlipidemia, and hyperuricemia. No severe adverse events were deemed to be attributed to CM310. Conclusion::CM310 at 150 mg and 300 mg every 2 weeks demonstrated significant efficacy and was well-tolerated in adults with moderate-to-severe AD.Trial Registration::ClinicalTrials.gov, NCT04805411.

Objective:To review and analyze the clinical diagnosis and treatment of renal Ewing's sar-coma with venous tumor embolus,to follow up the survival and prognosis of the patients,and to provide help for the diagnosis and treatment of the disease.Methods:Clinical data(including general data,sur-gical data and postoperative pathological data)of patients diagnosed with renal Ewing's sarcoma with ve-nous tumor embolus in Peking University Third Hospital from June 2016 to June 2022 were collected,and the prognosis of the patients was followed up to analyze the influence of diagnosis and treatment process on the prognosis of the disease.Results:There were 6 patients,including 1 male and 5 females.There were 4 cases of left renal tumor and 2 cases of right renal tumor.The median age at diagnosis was 28 years(16-52 years).The imaging findings were all exogenous tumors with internal necrotic tissue and hemorrhage.The mean maximum tumor diameter was 12.6 cm,and the mean tumor thrombus length was 7.8 cm.Four patients underwent open surgery and 2 patients underwent laparoscopic surgery.The post-operative pathological results were renal Ewing sarcoma.Immunohistochemical results showed 3 cases of CD99(+),2 cases of FLI-1(+),and 1 case of CD99,FLI-1(-).3 patients received chemothera-py(cyclophosphamide,doxorubicin,vincristine/ifosfamide,etoposide),1 case received chemotherapy combined with radiotherapy,and 2 cases received no adjuvant therapy.The mean overall survival(OS)of the 6 patients was 37 months,and the mean OS of the 4 patients(47 months)who received chemo-therapy was significantly higher than that of the 2 patients(16 months)who did not receive chemotherapy(P=0.031).Conclusion:Renal Ewing's sarcoma with venous tumor embolus is rare in clinic,and it is common in young female patients.The operation is difficult and the prognosis is poor.Surgical resection,adjuvant radiotherapy and chemotherapy can improve the overall survival rate of the patients.

METHODS: We retrospectively collected CT scan data from 276 patients with pathologically confirmed primary bone tumors from 4 medical centers in Guangdong Province between January, 2010 and August, 2021. A convolutional neural network (CNN) was employed as the deep learning architecture. The optimal baseline deep learning model (R-Net) was determined through transfer learning, and an optimized model (S-Net) was obtained through algorithmic improvements. Multivariate logistic regression analysis was used to screen the clinical features such as sex, age, mineralization location, and pathological fractures, which were then connected with the imaging features to construct the deep learning fusion model (SC-Net). The diagnostic performance of the SC-Net model and machine learning models were compared with radiologists' diagnoses, and their classification performance was evaluated using the area under the receiver operating characteristic curve (AUC) and F1 score. RESULTS: In the external test set, the fusion model (SC-Net) achieved the best performance with an AUC of 0.901 (95% CI: 0.803-1.00), an accuracy of 83.7% (95% CI: 69.3%-93.2%) and an F1 score of 0.857, and outperformed the S-Net model with an AUC of 0.818 (95% CI: 0.694-0.942), an accuracy of 76.7% (95% CI: 61.4%-88.2%), and an F1 score of 0.828. The overall classification performance of the fusion model (SC-Net) exceeded that of radiologists' diagnoses. CONCLUSIONS The deep learning fusion model based on multi-center CT images and clinical features is capable of accurate classification of osseous and chondroid matrix mineralization and may potentially improve the accuracy of clinical diagnoses of osteogenic versus chondrogenic primary bone tumors.
Humans ; Deep Learning ; Bone Neoplasms/diagnostic imaging* ; Retrospective Studies ; Tomography, X-Ray Computed/methods* ; Neural Networks, Computer ; Male ; Female ; ROC Curve ; Algorithms

OBJECTIVE: To propose an deep learning-based algorithm for automatic prediction of dose distribution in radiotherapy planning for head and neck cancer. METHODS: We propose a novel beam dose decomposition learning (BDDL) method designed on a cascade network. The delivery matter of beam through the planning target volume (PTV) was fitted with the pre-defined beam angles, which served as an input to the convolution neural network (CNN). The output of the network was decomposed into multiple sub-fractions of dose distribution along the beam directions to carry out a complex task by performing multiple simpler sub-tasks, thus allowing the model more focused on extracting the local features. The subfractions of dose distribution map were merged into a distribution map using the proposed multi-voting mechanism. We also introduced dose distribution features of the regions-of-interest (ROIs) and boundary map as the loss function during the training phase to serve as constraining factors of the network when extracting features of the ROIs and areas of dose boundary. Public datasets of radiotherapy planning for head and neck cancer were used for obtaining the accuracy of dose distribution of the BDDL method and for implementing the ablation study of the proposed method. RESULTS: The BDDL method achieved a Dose score of 2.166 and a DVH score of 1.178 (P < 0.05), demonstrating its superior prediction accuracy to that of current state-ofthe-art (SOTA) methods. Compared with the C3D method, which was in the first place in OpenKBP-2020 Challenge, the BDDL method improved the Dose score and DVH score by 26.3% and 30%, respectively. The results of the ablation study also demonstrated the effectiveness of each key component of the BDDL method. CONCLUSION The BDDL method utilizes the prior knowledge of the delivery matter of beam and dose distribution in the ROIs to establish a dose prediction model. Compared with the existing methods, the proposed method is interpretable and reliable and can be potentially applied in clinical radiotherapy.
Humans ; Deep Learning ; Head and Neck Neoplasms/radiotherapy* ; Algorithms ; Neural Networks, Computer

Pulmonary blast injury has become the main type of trauma in modern warfare, characterized by externally mild injuries but internally severe injuries, rapid disease progression, and a high rate of early death. The injury is complicated in clinical practice, often with multiple and compound injuries. Currently, there is a lack of effective protective materials, accurate injury detection instrument and portable monitoring and transportation equipment, standardized clinical treatment guidelines in various medical centers, and evidence-based guidelines at home and abroad, resulting in a high mortality in clinlcal practice. Therefore, the Trauma Branch of Chinese Medical Association and the Editorial Committee of Chinese Journal of Trauma organized military and civilian experts in related fields such as thoracic surgery and traumatic surgery to jointly develop the Clinical treatment guideline for pulmonary blast injury ( version 2023) by combining evidence for effectiveness and clinical first-line treatment experience. This guideline provided 16 recommended opinions surrounding definition, characteristics, pre-hospital diagnosis and treatment, and in-hospital treatment of pulmonary blast injury, hoping to provide a basis for the clinical treatment in hospitals at different levels.

Objective    To analyze the clinical efficacy of right minithoracotomy approach in the treatment of patients with regurgitation after left-sided valve surgery (LSVS). Methods    The clinical data of 77 patients who suffered tricuspid regurgitation (TR) after LSVS and received surgical treatment in the Heart Center of Henan Provincial People's Hospital from 2012 to 2019 were selected. According to the operation method, the patients were divided into a right minithoracotomy group (n=32), including 13 (40.6%) males, aged 57.3±5.3 years and a median sternotomy group (n=45), including 17 (37.8%) males, aged 55.7±6.6 years. Preoperative and postoperative clinical data of the two groups were compared and analyzed. Results    There was no significant difference in preoperative data between the two groups. There were 24 patients of tricuspid valvuloplasty (TVP) and 8 patients of tricuspid valve replacement (TVR) in the right minithoracotomy group. There were 29 patients of TVP and 16 patients of TVR in the median sternotomy group. The operation time, postoperative hospitalization time, intubation time and ICU stay time of the right minithoracotomy group were shorter than those of the median sternotomy group (P<0.001). The operative bleeding, postoperative drainage in 24 hours, postoperative blood transfusion rate and incision poor healing of the right minithoracotomy group were significantly decreased compared with those of the median sternotomy group (P<0.05). The extracorporeal circulation time between the two groups was not significantly different (P=0.382). The postoperative complications and mortality of the righ minithoracotomy group were significantly lower than those of the median sternotomy group (P<0.05). Conclusion    The procedure of right minithoracotomy access can reduce perioperative morbidity and mortality compared with the median sternotomy, and results in satisfied clinical efficacy.

OBJECTIVE To investigate the mechanism of Fuke duanhongyin capsule in improving dysfunctional uterine bleeding （DUB） in rats. METHODS Pregnant SD rats were randomly divided into blank control group （distilled water）， model control group （distilled water） and Fuke duanghongyin capsule group （1.296 g/kg）， with 6 rats in each group. Except for blank control group， DUB model was established in other groups. After modeling， they were given relevant medicine/distilled water 10 mL/kg intragastrically， once a day， for consecutive 14 d. After medication， uterine index， ovary index and hemorheology indexes （whole blood high shear relative index， whole blood low shear relative index， erythrocyte aggregation index， Carson viscosity） of rats were all determined. The pathological changes of uterus and ovary tissues were observed； mRNA relative expression levels of epidermal growth factor （EGF）， hypoxia-inducible factor 1α （HIF-1α）， epidermal growth factor receptor （EGFR） and serine/ threonine-protein kinase 1（AKT1）， and protein relative expression levels of EGF and EGFR in uterine tissue were all measured. RESULTS Compared with model control group， the uterine index， ovary index， erythrocyte aggregation index were all decreased significantly in Fuke duanghongyin capsule group （P＜0.05 or P＜0.01）； whole blood high shear relative indexes， mRNA relative expression levels of EGF， HIF-1α and EGFR and protein relative expression levels of EGF and EGFR in uterine tissue were all increased significantly （P＜0.05 or P＜0.01）. The pathological changes of ovary and uterus were improved. CONCLUSIONS Fuke duanhongyin capsule can improve DUB in rat， the mechanism of which may be related to the activation of EGF-EGFR signaling pathway.