ObjectiveCleft palate (CP) is a common congenital deformity often associated with velopharyngeal insufficiency (VPI), which disrupts the physiological coupling between respiration and speech. Conventional clinical assessments, such as nasometry and spirometry, provide limited static data and fail to visualize the dynamic spatiotemporal distribution of lung ventilation during phonation. This study introduces spatiotemporal electrical impedance tomography (ST-EIT) to evaluate speech-respiratory functional features in CP patients compared to normal controls (NC). The aim is to characterize multi-domain respiratory patterns and to validate an interpretable machine learning framework for providing objective, quantitative evidence for clinical assessment. MethodsSeventy-five participants were enrolled in this study, comprising 37 patients with surgically repaired CP and 38 healthy volunteers matched for age, gender, and body mass index (BMI). All subjects performed standardized sustained phonation tasks while undergoing synchronous monitoring with a 16-electrode EIT system and a pneumotachograph. A comprehensive feature engineering pipeline was developed to extract physiological parameters across 3 complementary domains. (1) Temporal domain: including inspiratory/expiratory phase duration (tPhase), time constants (Tau), and inspiratory-to-expiratory time ratios (TI/TE); (2) airflow domain: comprising mean flow, peak flow, and instantaneous flow at 25%, 50%, and 75% of tidal volume; and (3) spatial domain: quantifying global and regional tidal impedance variation (TIV), global inhomogeneity (GI), and center of ventilation (CoV). Extreme Gradient Boosting (XGBoost) classifiers were trained using 5 distinct data sources (Spirometry, Nasometry, Inspiratory-EIT, Expiratory-EIT, and fused ST-EIT). Model performance was rigorously evaluated via stratified 5-fold cross-validation, and Shapley additive explanations (SHAP) were employed to quantify global and local feature contributions. ResultsThe CP group exhibited a distinct respiratory phenotype compared to controls. In the temporal domain, CP patients showed significantly shorter inspiratory (1.60 s vs.1.85 s, P<0.001) and expiratory phase durations (2.45 s vs. 3.95 s, P<0.001), indicating a rapid, shallow breathing rhythm. In the airflow domain, while inspiratory flows were comparable, the CP group demonstrated significantly elevated mean and peak flows during the expiratory phase (P<0.001), reflecting compensatory respiratory effort. Spatially, CP patients presented significant ventilation redistribution, characterized by higher regional TIV in the right-anterior (ROI1) and left-posterior (ROI4) quadrants, but lower TIV in the left-anterior (ROI2) quadrant. In terms of diagnostic accuracy, the multi-modal ST-EIT model achieved the highest performance (AUC: 0.915±0.012, Accuracy: 0.843±0.019, F1-score: 0.872±0.017), substantially outperforming models based on spirometry (AUC: 0.721) or nasometry (AUC: 0.625) alone. Interpretability analysis revealed that spatial domain features were the most critical, contributing 53.4% to the model’s decision-making, followed by temporal (25.0%) and airflow (21.6%) features. ConclusionST-EIT successfully captures the temporal, airflow, and spatial deviations in CP speech respiration that are undetectable by conventional methods—specifically, rapid phase transitions, hyperdynamic expiratory airflow, and regional ventilation heterogeneity. This study validates ST-EIT as a robust, non-invasive, and radiation-free tool for characterizing speech-respiratory dysfunction, offering high clinical value for bedside screening, rehabilitation planning, and longitudinal monitoring of patients with cleft palate.

ObjectiveCleft palate (CP) is a common congenital deformity often associated with velopharyngeal insufficiency (VPI), which disrupts the physiological coupling between respiration and speech. Conventional clinical assessments, such as nasometry and spirometry, provide limited static data and fail to visualize the dynamic spatiotemporal distribution of lung ventilation during phonation. This study introduces spatiotemporal electrical impedance tomography (ST-EIT) to evaluate speech-respiratory functional features in CP patients compared to normal controls (NC). The aim is to characterize multi-domain respiratory patterns and to validate an interpretable machine learning framework for providing objective, quantitative evidence for clinical assessment. MethodsSeventy-five participants were enrolled in this study, comprising 37 patients with surgically repaired CP and 38 healthy volunteers matched for age, gender, and body mass index (BMI). All subjects performed standardized sustained phonation tasks while undergoing synchronous monitoring with a 16-electrode EIT system and a pneumotachograph. A comprehensive feature engineering pipeline was developed to extract physiological parameters across 3 complementary domains. (1) Temporal domain: including inspiratory/expiratory phase duration (tPhase), time constants (Tau), and inspiratory-to-expiratory time ratios (TI/TE); (2) airflow domain: comprising mean flow, peak flow, and instantaneous flow at 25%, 50%, and 75% of tidal volume; and (3) spatial domain: quantifying global and regional tidal impedance variation (TIV), global inhomogeneity (GI), and center of ventilation (CoV). Extreme Gradient Boosting (XGBoost) classifiers were trained using 5 distinct data sources (Spirometry, Nasometry, Inspiratory-EIT, Expiratory-EIT, and fused ST-EIT). Model performance was rigorously evaluated via stratified 5-fold cross-validation, and Shapley additive explanations (SHAP) were employed to quantify global and local feature contributions. ResultsThe CP group exhibited a distinct respiratory phenotype compared to controls. In the temporal domain, CP patients showed significantly shorter inspiratory (1.60 s vs.1.85 s, P<0.001) and expiratory phase durations (2.45 s vs. 3.95 s, P<0.001), indicating a rapid, shallow breathing rhythm. In the airflow domain, while inspiratory flows were comparable, the CP group demonstrated significantly elevated mean and peak flows during the expiratory phase (P<0.001), reflecting compensatory respiratory effort. Spatially, CP patients presented significant ventilation redistribution, characterized by higher regional TIV in the right-anterior (ROI1) and left-posterior (ROI4) quadrants, but lower TIV in the left-anterior (ROI2) quadrant. In terms of diagnostic accuracy, the multi-modal ST-EIT model achieved the highest performance (AUC: 0.915±0.012, Accuracy: 0.843±0.019, F1-score: 0.872±0.017), substantially outperforming models based on spirometry (AUC: 0.721) or nasometry (AUC: 0.625) alone. Interpretability analysis revealed that spatial domain features were the most critical, contributing 53.4% to the model’s decision-making, followed by temporal (25.0%) and airflow (21.6%) features. ConclusionST-EIT successfully captures the temporal, airflow, and spatial deviations in CP speech respiration that are undetectable by conventional methods—specifically, rapid phase transitions, hyperdynamic expiratory airflow, and regional ventilation heterogeneity. This study validates ST-EIT as a robust, non-invasive, and radiation-free tool for characterizing speech-respiratory dysfunction, offering high clinical value for bedside screening, rehabilitation planning, and longitudinal monitoring of patients with cleft palate.

HDAC7, a member of class IIa HDACs, plays a pivotal regulatory role in tumor, immune, fibrosis, and angiogenesis, rendering it a potential therapeutic target. Nevertheless, due to the high similarity in the enzyme active sites of class IIa HDACs, inhibitors encounter challenges in discerning differences among them. Furthermore, the substitution of key residue in the active pocket of class IIa HDACs renders them pseudo-enzymes, leading to a limited impact of enzymatic inhibitors on their function. In this study, proteolysis targeting chimera (PROTAC) technology was employed to develop HDAC7 drugs. We developed an exceedingly selective HDAC7 PROTAC degrader B14 which showcased superior inhibitory effects on cell proliferation compared to TMP269 in various diffuse large B cell lymphoma (DLBCL) and acute myeloid leukemia (AML) cells. Subsequent investigations unveiled that B14 disrupts BCL6 forming a transcriptional inhibition complex by degrading HDAC7, thereby exerting proliferative inhibition in DLBCL. Our study broadened the understanding of the non-enzymatic functions of HDAC7 and underscored the importance of HDAC7 in the treatment of hematologic malignancies, particularly in DLBCL and AML.

Objective To evaluate the surgical efficacy of unilateral pneumonectomy for the treatment of tuberculous destroyed lung, analyze the causes of severe postoperative complications, and explore clinical management strategies. Methods A retrospective analysis was conducted on the clinical data of patients with tuberculous destroyed lung who underwent unilateral pneumonectomy at the Public Health Clinical Center of Chengdu from 2017 to 2023. Postoperative severe complications were statistically analyzed. Patients were divided into a non-severe complication group and a severe-complication group, and the causes, management, and outcomes of complications were analyzed. Results A total of 134 patients were included, comprising 69 males and 65 females, with a mean age of 17-73 (40.43±12.69) years. There were 93 patients undergoing left pneumonectomy and 41 patients undergoing right pneumonectomy. Preoperative sputum smear was positive in 35 patients, all of which converted to negative postoperatively. There were 58 patients with hemoptysis preoperatively, and none experienced hemoptysis postoperatively. Postoperative incisional infection occurred in 8 (5.97%) patients, and postoperative pulmonary infection in 26 (19.40%) patients. Severe postoperative complications occurred in 17 (12.69%) patients, including empyema in 9 (6.72%) patients, bronchopleural fistula with empyema in 1 (0.75%) patient, severe pneumonia in 3 (2.24%) patients, postpneumonectomy syndrome in 1 (0.75%) patient, chylothorax in 1 (0.75%) patient, ketoacidosis in 1 (0.75%) patient, and heart failure with severe pneumonia in 1 (0.75%) patient. Perioperative mortality occurred in 2 (1.49%) patients, both of whom underwent right pneumonectomy. Multivariate logistic regression analysis revealed that a history of ipsilateral thoracic surgery, concomitant Aspergillus infection, and greater blood loss were independent risk factors for severe complications following unilateral pneumonectomy for tuberculous destroyed lung (P<0.05). Conclusion Unilateral pneumonectomy for patients with tuberculous destroyed lung can significantly improve the clinical cure rate, sputum conversion rate, and hemoptysis cessation rate. However, there is a certain risk of severe perioperative complications and mortality, requiring thorough perioperative management and appropriate management of postoperative complications.

Objective:To investigate the diagnostic value of contrast-enhanced ultrasound（CEUS）in solid pseudopapillary tumor of pancreas（SPTP），summarize the CEUS characteristics of SPTP，and to compare its CEUS enhancement with contrast-enhanced computed tomography（CECT）.Methods:In this retrospective study，baseline characteristics，basic ultrasound and CEUS images，CECT images of 70 patients diagnosed as SPTP from January 2009 to August 2023 were collected. Images were analyzed for extraction of key features and diagnostic accuracies of both CEUS and CECT were calculated. The relationships between ultrasound features and lesion size of SPTP were analyzed by Point-Biserial correlation analysis and Student t test. The diagnostic accuracy was compared by Mann-Whitney U test. Results:Iso-enhancement（55.7%，39/70）was commonly appeared in the early phase of CEUS for SPTP，while hypo-enhancement（74.3%，52/70）was the most common in the late phase. And the most common enhancement pattern was iso-hypo enhancement（41.4%，29/70）. Lesion membrane enhancement（47.1%，33/70），intralesional compartmentalization（28.6%，20/70），and intralesional vessels（25.7%，18/70）were the 3 typical signs found in CEUS for SPTP，which were correlated with lesion size（ P＜0.001）. Differences were found between the enhancement pattern of SPTP in CEUS and CECT，in which the most common enhancement patterns were hypo-hypo enhancement（41.4%，24/58）and iso-iso enhancement（29.3%，17/58）along with progressive enhancement. The diagnostic accuracies of CEUS and CECT were 71.4% and 74.1% respectively without statistically significant difference（ P=0.733）. Conclusions:CEUS shows high application value in the diagnosis of SPTP，and the accuracy of CEUS is comparable to that of CECT.

Objective:To investigate the long-term prognosis and related factors in children with multiphasic myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD).Methods:A bidirectional cohort study was conducted. This study included 41 children with MOGAD who were treated at the Children′s Medical Center of Peking University First Hospital between January 2013 and December 2024, with a disease duration of ≥5 years. Demographic characteristics, clinical episodes, therapy, and prognostic indicators (including the expanded disability status scale (EDSS) and modified Rankin scale (mRS)) were collected. Children were stratified into relapse and non-relapse groups based on the presence or absence of relapse within 5 years of the last follow-up. χ2 test or Mann-Whitney U test was used to analyze factors associated with relapse. The Log-rank test was used to compare relapse-free rates between children with disease onset 0-<5 years and those with onset at 5-10 years. Results:A total of 41 children were enrolled, including 20 boys and 21 girls. The age at onset was 5.3 (3.8, 8.5) years, the age at last follow-up was 16.1 (13.2, 17.5) years, and the disease duration was 9.4 (8.1, 10.9) years. The annualized relapse rate (ARR) during follow-up was 0.34 (0.19, 0.56) times/year. The duration to first relapse was 0.8 (0.4, 1.5) years. At the last follow-up, the EDSS score was 0.0 (0.0, 0.0) score, and the mRS score was 0 (0, 0) score. A total of 40 children (98%) experienced relapses within the first 5 years after onset, while only 1 child (2%) relapsed at 6.7 years. The relapse rate between 5-10 years was lower than that between 0-<5 years ( HR=0.27, 95% CI 0.16-0.47, P<0.001). A total of 25 children (61.0%) exhibited clustered relapses during the disease course. There were 20 children (49%) in non-relapse groups, who were aged 16.6 (14.8, 17.6) years, disease duration 9.8 (9.3, 10.8) years at the last follow-up. Among those 20 children, 15 children (75%) had discontinued corticosteroids and immunosuppressants. The relapse group had higher clinical event rates and ARR compared to the relapse-free group (both P<0.01), the age at last follow-up was yonger ( P<0.05), while no significant differences were observed in age at onset, disease duration, or timing of immunosuppressant use (all P>0.05). Conclusions:Pediatric multiphasic MOGAD generally has a favorable prognosis, about half of patients remain relapse-free for ≥5 years at last follow-up. Relapses predominantly occur early in the disease course (mostly within 5 years of onset) and often exhibit a clustered pattern.

Objective:To analyze the trend of the health literacy level of Chinese residents from 2012 to 2023 and predict the health literacy level from 2024 to 2027.Methods:The study collected data on the health literacy surveillance of Chinese residents from 2012 to 2023. The Joinpoint regression model was used to calculate the average annual percent change (AAPC) and analyze the trend. The interrupted time series analysis with Prais-Winsten transformed generalized least squares estimation was employed to investigate the impact of the"Healthy China 2030" policy on residents′ health literacy levels. Joinpoint regression, autoregressive integrated moving average model and grey forecasting models were established to select the optimal model for forecasting health literacy levels from 2024 to 2027.Results:The results showed that the health literacy level of Chinese residents increased from 8.80% in 2012 to 29.70% in 2023 (AAPC=11.65%, P<0.05). The health literacy level of urban and rural residents increased from 11.79% and 7.13% in 2012 to 33.25% and 26.23% in 2023, respectively (AAPC=9.57% and 12.60%, both P<0.05). Rural (1.59% per year) saw a lower average annual increase than urban (1.79% per year), widening the urban-rural health literacy gap. All aspects of health literacy, including basic knowledge and concepts, healthy lifestyles and behaviors, and health skills, showed an upward trend. The literacy level of six health issues—safety and first aid, scientific health views, health information, infectious disease prevention, chronic disease prevention, and basic medical care—also exhibited rising trends. Interrupted time series analysis indicated a significant further increase in the health literacy level of Chinese residents after the implementation of the "Healthy China 2030" policy, with the growth rate increasing from 0.615% per year before implementation to 2.655% per year afterwards. The Joinpoint regression model showed superior predictive performance compared to autoregressive integrated moving average model and grey forecasting models. The prediction results suggested a continued upward trend in the health literacy level from 2024 to 2027, reaching 32.68%, 35.62%, 38.84%, and 42.34%, respectively. Conclusion:From 2012 to 2023, the overall and various aspects of health literacy among Chinese residents show a continuous upward trend. This study predicts that the level of residents′ health literacy will continue to rise by 2027.

OBJECTIVE: To explore the correlation between the Barthel index score and other factors with the preoperative occurrence of deep vein thrombosis (DVT) in patients undergoing total hip arthroplasty (THA) revision surgery. METHODS: A retrospective analysis was conducted on clinical data from 122 patients who met the inclusion criteria and underwent THA revision surgery between April 2017 and November 2020. Among them, 61 were male and 61 were female, with an age range of 32-85 years (mean, 65.3 years). The reasons for revision included prosthetic joint infection in 7 cases, periprosthetic fracture in 4 cases, prosthetic dislocation in 6 cases, and aseptic loosening in 105 cases. The Barthel index score was 76.4±17.7, with 10 cases classified as level 1, 57 as level 2, 37 as level 3, and 18 as level 4. Univariate analysis was performed on variables such as age, gender, body mass index, Barthel index score, preoperative D-dimer positivity, history of diabetes, hypertension, cancer, cerebral infarction, smoking, and thrombosis in patients with and without preoperative DVT. Furthermore, logistic regression was used to identify risk factors for preoperative DVT in THA revision surgery. The incidence of preoperative DVT was compared among different Barthel index score groups. RESULTS: Preoperative DVT was detected in 11 patients (9.02%), all of whom had intermuscular venous thrombosis. Among them, 1 had prosthetic joint infection, 1 had periprosthetic fracture, 1 had prosthetic dislocation, and 8 had aseptic loosening. Univariate analysis showed significant differences between the two groups in terms of age, gender, and Barthel index score ( P<0.05). logistic regression further revealed that female, age ≥70 years, and Barthel index score<60 were independent risk factors for preoperative DVT in patients undergoing THA revision surgery ( P<0.05). The incidence of preoperative DVT in patients with Barthel index scores of levels 1, 2, 3, and 4 were 0 case (0%), 2 cases (3.5%), 3 cases (8.1%), and 6 cases (33.3%), respectively. A significant correlation was found between Barthel index score classification and the incidence of preoperative DVT in patients undergoing THA revision surgery ( χ ²=10.843， P=0.001). CONCLUSION In patients undergoing THA revision surgery, older age, female, and lower Barthel index scores are associated with higher preoperative DVT incidence. For patients with low preoperative Barthel index scores, preoperative thrombosis screening should be emphasized.
Humans ; Arthroplasty, Replacement, Hip/adverse effects* ; Male ; Female ; Aged ; Middle Aged ; Retrospective Studies ; Reoperation ; Aged, 80 and over ; Venous Thrombosis/epidemiology* ; Adult ; Risk Factors ; Postoperative Complications/etiology* ; Preoperative Period

Diabetic foot (DF) is one of the most serious chronic complications of diabetes. The incidence rate among global diabetes patients is as high as 15% to 25%, and about 50% of patients will develop contralateral foot ulcers within 5 years after the first unilateral ulcer. As a non-invasive prevention and control solution, the application progress of functional insoles is mainly reflected in the following aspects:(1) Material innovation. The application of new composite materials and smart materials has significantly enhanced the pressure reduction effect and comfort. (2) Structural optimization. The development of multi-layer design and local pressure reduction structure has achieved more precise pressure distribution regulation. (3) Manufacturing process. 3D printing and parametric design have enabled the personalized customization of functional insoles. (4) Intelligent monitoring. It integrates functions such as pressure sensing and temperature monitoring, achieving real-time monitoring and early warning of foot conditions. Clinical research has confirmed that personalized functional insoles could reduce the incidence of foot ulcers and shorten the healing time of ulcers. At present, the research hotspots mainly focus on the development of smart materials, the construction of multi-functional integration and remote monitoring systems. However, in-depth research is still needed in the aspects of biomechanical mechanisms, standardized evaluation systems and long-term efficacy assessment. The development of future functional insoles should focus on the coordinated advancement of "personalization-intelligence-standardization", with the aim of providing more effective solutions for the prevention and treatment of DF.
Humans ; Diabetic Foot/therapy* ; Foot Orthoses

Ureaplasma urealyticum (UU) is one of the most commonly occurring pathogens associated with genital tract infections in infertile males, but the impact of seminal UU infection in semen on intrauterine insemination (IUI) outcomes is poorly understood. We collected data from 245 infertile couples who underwent IUI at The First Affiliated Hospital of USTC (Hefei, China) between January 2021 and January 2023. The subjects were classified into two groups according to their UU infection status: the UU-positive group and the UU-negative group. We compared semen parameters, pregnancy outcomes, and neonatal birth outcomes to investigate the impact of UU infection on IUI outcomes. There were no significantly statistical differences in various semen parameters, including semen volume, sperm concentration, total and progressive motility, sperm morphology, leukocyte count, the presence of anti-sperm antibody, and sperm DNA fragmentation index (DFI), between the UU-positive and UU-negative groups of male infertile patients (all P > 0.05). However, the high DNA stainability (HDS) status of sperm differed between the UU-positive and UU-negative groups, suggesting that seminal UU infection may affect sperm nuclear maturation ( P = 0.04). Additionally, there were no significant differences in pregnancy or neonatal birth outcomes between the two groups (all P > 0.05). These results suggest that IUI remains a viable and cost-effective option for infertile couples with UU infection who are facing infertility issues.
Humans ; Male ; Ureaplasma Infections/complications* ; Female ; Infertility, Male/therapy* ; Ureaplasma urealyticum/isolation & purification* ; Pregnancy ; Adult ; Pregnancy Outcome ; Semen Analysis ; Insemination, Artificial ; Semen/microbiology* ; China