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

Objective To investigate the relationships of computed tomography (CT) angiography (CTA)-derived coronary plaque properties with platelet function and whole blood cell-derived inflammatory markers in elderly patients with coronary heart disease. Methods The clinical data of 142 elderly patients with coronary heart disease who underwent coronary CTA examination in the hospital between April 2022 and April 2025 were retrospectively analyzed. The CT value of CTA, platelet function parameters (mean platelet volume, platelet-derived growth factor BB, von Willebrand factor), and whole blood cell-derived inflammatory markers were recorded at admission. The correlations of the CT value of CTA-derived coronary plaque properties with platelet function parameters and whole blood cell-derived inflammatory markers in elderly patients with coronary heart disease were analyzed using Pearson correlation coefficients. Based on the evaluation of CTA-derived coronary plaque properties, the patients were divided into a soft plaque group (CT value ≤ 60 HU), a calcified plaque group (CT value ≥ 130 HU), and a mixed plaque group (60 HU < CT value < 130 HU). The platelet function parameters (mean platelet volume, platelet-derived growth factor BB, von Willebrand factor) and whole blood cell-derived inflammatory markers (systemic immune-inflammation index, systemic inflammation response index, neutrophil-to-lymphocyte ratio, and monocyte-to-lymphocyte ratio) on admission were compared among the three groups. Results The coronary CTA examination showed 37 (26.06%) cases in the calcified plaque group, 47 (33.10%) cases in the soft plaque group, and 58 (40.84%) cases in the mixed plaque group. The CT values were (189.57 ± 22.14) HU for the calcified plaque group, (31.74 ± 4.12) HU for the soft plaque group, and (94.52 ± 8.29) HU for the mixed plaque group. The levels of platelet function parameters and whole blood cell-derived inflammatory markers at admission were in the following order: soft plaque group > mixed plaque group > calcified plaque group, and the differences were statistically significant (P < 0.05). After adjustment for sex, age, cardiac function grading, hypertension, diabetes, and blood lipids as covariates, partial correlation analysis revealed that the CT value of CTA-derived coronary plaque properties in elderly patients with coronary heart disease was negatively correlated with the levels of platelet function parameters and whole blood cell-derived inflammatory markers (P < 0.05). Conclusion In this study, the coronary plaque CT value in elderly patients with coronary heart disease was negatively correlated with the levels of platelet function parameters and whole blood cell-derived inflammatory markers. Furthermore, increasing plaque instability may be associated with more pronounced platelet activation and a heightened systemic inflammatory state.

Objective To analyze the adolescent tuberculosis reported in Haikou region between 2018 and 2021 and factors influencing the outcome. Methods The data on adolescent tuberculosis cases reported in Tuberculosis Information Management System in the Haikou Regional Centre for Disease Control and Prevention (RCDC) from 2018 to 2021 were collected. A follow-up survey was carried out until 31 December 2022. The changes in reported incidence of adolescent tuberculosis in Haikou was analyzed, and multivariate Cox proportional hazards regression models were used to identify independent factors influencing the outcome of adolescent tuberculosis. Results A total of 265 cases of tuberculosis in adolescents were reported between 2018 and 2021, of which 55 were reported in 2018, 74 in 2019, 67 in 2020, and 69 in 2021. The total number of reported cases of tuberculosis was 140 among male adolescents, which was slightly higher than 125 among female adolescents. The number of reported cases of tuberculosis was 134 in adolescents ≥15 years of age and 131 in adolescents <15 years of age. No statistically significant difference was reported between good outcome group and poor outcome group in age, gender, place of residence, nationality, and domicile place (P>0.05), whereas difference was found in the history of tuberculosis between two groups (P<0.05). Multivariate Cox proportional hazards regression model denoted that retreated tuberculosis (HR: 2.172, 95%CI: 1.483-3.007), complicating underlying disease (HR: 1.451, 95%CI: 1.080-1.985), and number of sputum smears (HR: 2.617, 95%CI: 1.531-3.458) were the risk factors for adverse outcomes in adolescent tuberculosis. Conclusion From 2018 to 2021, the number of reported adolescents of pulmonary tuberculosis in Haikou increased, suggesting that the management and prevention of adolescents should be strengthened to improve the prognosis rate of adolescents.

OBJECTIVE Taking Professor Zhou Zhongying's clinical cases of treating hyperthyroidism as the research object,this article explored the use of the TabNet model based on neural networks to discover the diagnosis and treatment rules of hyperthyroid-ism,providing a method reference for inheriting the academic thoughts of famous veteran traditional Chinese medicine practitioners and assisting clinical diagnosis and treatment.METHODS Based on the clinical diagnosis and treatment cases of hyperthyroidism of Pro-fessor Zhou Zhongying and his team,standardized and structured training data were constructed;algorithms based on attention mecha-nism and sparse feature selection mechanism were studied;a pathogenesis prediction model was constructed by inputting standardized clinical manifestations,standardized tongue and pulse conditions;core symptoms,pathogenesis and medication were analyzed,as well as the relationship between the three.RESULTS The trained prediction model was used to predict the 6 pathogenesis of liver stagna-tion,liver fire,phlegm fluid,kidney deficiency,yin deficiency,and blood stasis.Compared with multi-label classification models constructed by classic algorithms such as decision trees and random forests,this model had better classification and prediction indica-tors.Mining was carried out through the decision tree algorithm,and 6 core pathogenesis corresponding Chinese medicine groups were summarized:vinegar-baked Bupleurum chinense,prunella vulgaris,oyster,processed Carapax trionycis,Scrophularia ningpoensis,Asparagus cochinchinensis,Ophiopogon japonicus,etc.CONCLUSION Using the TabNet algorithm on clinical medical record data to build a pathogenesis prediction model based on clinical manifestations,tongue and pulse conditions can effectively predict the core pathogenesis,and then discover the connection between symptoms,pathogenesis and medication,providing methodological references for the inheritance of academic ideas of famous veteran traditional Chinese medicine practitioners and clinical auxiliary diagnosis and treatment decision-making.

Objective To observe changes of CT quantitative indexes in patients with untreated chronic obstructive pulmonary disease(COPD)and relationships with pulmonary function indicators.Methods Totally 99 patients with untreated COPD were retrospectively enrolled.According to the degrees of airflow obstruction,the patients were divided into group A(GOLD grade 1 with mild obstruction,n=36),group B(GOLD 2 with moderate obstruction,n=37)and group C(GOLD 3 or 4 with obvious obstruction,n=26).The results of chest CT and pulmonary function tests conducted at the first diagnosis and the follow-up,as well as their correlations were analyzed.CT quantitative indicators included the whole lung volume,low-attenuation areas less than-950 percentage(LAA％),total number of vessels per 1 cm2 of lung surface area(Ntotal/LSA),total number of vessels with area less than 5 mm2 per 1 cm2 of lung surface area(N＜5mm2/LSA),the square root of the wall area of a hypothetical airway with a 10 mm internal perimeter(Pi10),the entire volume,wall thickness and wall area percentage(WA％)of airway wall,etc.,while results of pulmonary function tests included the forced expiratory volume in one second(FEV1)after administration of a bronchodilator,forced vital capacity(FVC),the ratio FEV1/FVC and FEV1 expressed as percent predicted(FEV1％).Results Compared with those at the first diagnosis,the follow-up results of FVC,FEV1,FEV1/FVC,Ntotal/LSA and N＜5mm2/LSA were lower,whereas LAA％,Pi10 and entire volume of airway were all higher in each group(all P＜0.05).Compared with those in group A,group B and C had decreased LAA％and increased Pi10,and the magnitude increased with the severity of airflow obstruction(all P＜0.05).LAA％,Pi1o and entire volume of airway wall were negatively correlated with pulmonary function indicators(all P＜0.05),while Ntotal/LSA and N＜5 mm2/LSA were positively correlated with pulmonary function indicators(all P＜0.05).Conclusion CT quantitative parameters,including LAA％,Ntotal/LSA,N＜5mm2/LSA,Pi10 and entire volume of airway wall were related to pulmonary function,which might reflect the longitudinal changes of airways and blood vessels in COPD patients.

Humans ; Proto-Oncogene Proteins p21(ras)/genetics* ; Prognosis ; Biomarkers, Tumor/genetics* ; Mutation/genetics* ; Colorectal Neoplasms/genetics* ; Proto-Oncogene Proteins B-raf/metabolism*

Objective:To investigate the current status of maternal body image during pregnancy, mother-infant attachment and postpartum depression and explore the mediating effect of mother-infant attachment on maternal body image during pregnancy and postpartum depression, in order to effectively reduce the incidence of postpartum depression and provide reference and guidance for alleviating depressive symptoms.Methods:A total of 362 pregnant women admitted to obstetric wards in Women′s Hospital of Nanjing Medical University were selected for a cross-sectional investigation by applying the Edinburgh Postnatal Depression Scale, the Body Image in Pregnancy Scale and the Maternal Postnatal Attachment Scale by convenient sampling from July to September 2022. Model 4 in the SPSS macro program PROCESS was used to test the mediating effect of maternal infant attachment between body image and postpartum depression.Results:Totally 362 valid questionnaires were retrieved including 194 individuals aged ≤30 years old and 168 individuals aged >30 years old. The scores of maternal body image during pregnancy, mother-infant attachment and postpartum depression were (89.24 ± 15.56), (71.40 ± 8.05), 7.50 (4.00, 11.00) points.Conclusions:Body image during pregnancy can not only directly predict postpartum depression, but also indirectly predict postpartum depression through the mediating effect of mother-infant attachment. In order to prevent or reduce the occurrence of postpartum depression, nursing staff should carry out intervention research based on influencing the path of postpartum depression from the perspective of positive psychology.

Arsenic, as a toxic substance that can affect human health, can cause various neurological disorders, including cognitive impairment, when excessive. Relevant epidemiological surveys and animal experimental studies have shown that exposure to arsenic can not only cause intellectual impairment and peripheral neuropathy in humans, but also lead to abnormal behavior in humans and animals. However, so far, the mechanism of arsenic induced damage to the nervous system is still unclear. Peroxisome proliferator activated receptor γ auxiliary activation factor 1α (PGC-1α), as a nuclear transcription coactivator, can interact with transcription factors or other coactivators and plays a role in biological processes such as mitochondrial biogenesis and energy metabolism. PGC-1α, by activating mitochondrial biogenesis, affecting energy metabolism, activating oxidative stress regulatory factors [catalase (CAT), glutathione peroxidase (GSH-Px), superoxide dismutase (SOD), etc.], mitigates the damage to the central nervous system (CNS), peripheral nervous system (PNS), and blood-brain barrier (BBB) caused by arsenic. This article summarize the research progress of arsenic-induced neurological injury and the mechanism of PGC-1α's role in arsenic-induced neurological injury to provide a theoretical basis for further prevention and treatment of neurological diseases caused by arsenic.

Data analysis models may assist the transmission of traditional Chinese medicine （TCM） experience and clinical diagnosis and treatment， and the possibility of constructing a “data-knowledge” dual-drive model was explored by taking gastric precancerous state as an example. Data-driven is to make clinical decisions around data analysis， and its syndrome-differentiation decision-making research relies on hidden structural models and partially observable Markov decision-making processes to identify the etiology of diseases， syndrome elements， evolution of pathogenesis， and syndrome differentiation protocols； knowledge-driven is to make use of data and information to promote decision-making and action processes， and its syndrome-differentiation decision-making research relies on convolutional neural networks to improve the accuracy of local disease identification and syndrome differentiation. The “data-knowledge” dual-driven model can make up for the shortcomings of single-drive numerical simulation accuracy， and achieve a balance between local disease identification and macroscopic syndrome differentiation. On the basis of previous research， we explored the construction method of diagnostic assisted decision-making platform for gastric precancerous state， and believed that the diagnostic and decision-making ability of doctors can be extended through the assistance of machines and algorithms. Meanwhile， the related research methods were integrated and the core features of gastric precancerous state based on TCM syndrome differentiation and endoscopic pathology diagnosis and prediction were obtained， and the elements of endoscopic pathology recognition based on TCM syndrome differentiation were explored， so as to provide ideas for the in-depth research and innovative application of cutting-edge data analysis technology in the field of intelligent TCM syndrome differentiation.

Oral diseases concern almost every individual and are a serious health risk to the popula-tion.The restorative treatment of tooth and jaw defects is an important means to achieve oral function and support the appearance of the contour.Based on the principle of"learning from the nature",Deng Xu-liang's group of Peking University School and Hospital of Stomatology has proposed a new concept of"microstructural biomimetic design and tissue adaptation of tooth/jaw materials"to address the worldwide problems of difficulty in treating dentine hypersensitivity,poor prognosis of restoration of tooth defects,and vertical bone augmentation of alveolar bone after tooth loss.The group has broken through the bottle-neck of multi-stage biomimetic technology from the design of microscopic features to the enhancement of macroscopic effects,and invented key technologies such as crystalline/amorphous multi-level assembly,ion-transportation blocking,and multi-physical properties of the micro-environment reconstruction,etc.The group also pioneered the cationic-hydrogel desensitizer,digital stump and core integrated restora-tions,and developed new crown and bridge restorative materials,gradient functionalisation guided tissue regeneration membrane,and electrically responsive alveolar bone augmentation restorative membranes,etc.These products have established new clinical strategies for tooth/jaw defect repair and achieved inno-vative results.In conclusion,the research results of our group have strongly supported the theoretical im-provement of stomatology,developed the technical system of oral hard tissue restoration,innovated the clinical treatment strategy,and led the progress of the stomatology industry.