Based on spleen deficiency-phlegm dampness as the core pathogenesis of obesity， and integrating recent advances in modern medicine regarding the key role of immune inflammation in obesity， this paper proposes a multidimensional pathogenic network of "obesity-spleen deficiency-phlegm dampness-immune imbalance". Various traditional Chinese medicine （TCM） herbs that strengthen the spleen， regulate qi， and resolve phlegm and dampness can treat obesity by improving spleen-stomach transport and transformation， promoting water-damp metabolism， and regulating immune homeostasis. This highlights immune inflammation as an important entry point to elucidate the TCM concepts of "spleen deficiency-phlegm dampness" and the therapeutic principle of "strengthening the spleen and eliminating dampness to treat obesity". By systematically analyzing the intrinsic connection between "spleen deficiency generating dampness， internal accumulation of phlegm dampness" and immune dysregulation in obesity， this paper aims to provide theoretical support for TCM treatment of obesity based on dampness.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

Objective: To investigate the trend in disease burden of interstitial lung disease (ILD) in China from 1990 to 2021, so as to provide a reference for formulating prevention and control strategies for chronic respiratory diseases. Methods: Based on the Global Burden of Disease 2021 database, data on the number of incident cases, incidence, standardized incidence, number of deaths, mortality, standardized mortality, number of disability-adjusted life years (DALY), DALY rate, and standardized DALY rate of ILD in China were collected. The incidence, mortality, and DALY rate were used to analyze the disease burden of ILD. The estimated annual percentage change (EAPC) was employed to assess the trend in standardized incidence, standardized mortality, and standardized DALY rate of ILD from 1990 to 2021. Rate decomposition analysis was applied to identify the main contributing factors affecting the trend in disease burden. Results: In 2021, China reported 48 514 cases, 7 674 deaths, and 222 288 person-years of DALY due to ILD, representing increases of 155.43%, 159.70%, and 97.34%, respectively, compared with 1990. From 1990 to 2021, the standardized incidence and standardized mortality of ILD in China showed upward trends (EAPC=1.106% and 0.239%, both P<0.05), while the standardized DALY rate showed a downward trend (EAPC=-0.230%, P<0.05). From 1990 to 2021, the standardized incidence and standardized mortality among males showed upward trends (EAPC=1.199% and 0.520%, both P<0.05), while the trend in the standardized DALY rate was not statistically significant (P>0.05). Among females, the standardized incidence of ILD showed an upward trend (EAPC=0.966%, P<0.05), while the standardized mortality and standardized DALY rate showed downward trends (EAPC=-0.306% and -0.760%, both P<0.05). In 2021, the incidence, mortality, and DALY rate of ILD in China increased with age, peaking in the group aged ≥95 years at 14.84/105, 13.90/105, and 124.71/105, respectively. Across all age groups aged ≥55 years, the incidence, mortality, and DALY rate of ILD were consistently higher in males than in females. The increase in the number of incident cases, deaths, and DALY due to ILD in China from 1990 to 2021 was primarily influenced by population aging, with contribution rates of 42.65%, 68.25%, and 69.79%, respectively. Conclusions From 1990 to 2021, the incidence and mortality risk of ILD in China showed upward trends, while the disability risk demonstrated a downward trend. Males bore a heavier disease burden of ILD, and aging was identified as the primary factor contributing to the increased burden of ILD in China.

Objective To compare the clinical efficacy of different urinary diversions,specifically exploring whether the flap embedding technique can improve bladder cancer patients'quality of life and reduce the incidence of related complications.Methods 63 bladder cancer patients undergoing radical cystectomy with urinary diver-sion,between December 2022 and December 2023,were divided into three groups:Ileal conduit group(n=21),flap embedding technique group(n=21),and traditional cutaneous ureterostomy group(n=21).General clini-cal data,surgical data,preoperative and postoperative renal function indicators,incidence of complications within 6 months postoperatively,and quality of life scores were compared among the groups.Results The operative time in the ileal conduit group was longer than that in the other two groups(P<0.05).The quality of life scores in the flap embedding technique group were superior to those in the traditional cutaneous ureterostomy group(P<0.05),but no significant difference was found compared to the ileal conduit group(P>0.05).In terms of postoperative complications,the incidence of intestinal obstruction in the flap embedding technique group was lower than that in the ileal conduit group(P<0.05),and the rate of reinsertion of a single-J stent for hydronephrosis in the flap embedding technique group was lower than that in the traditional cutaneous ureterostomy group(P<0.05).Postop-erative serum creatinine levels in the traditional cutaneous ureterostomy group were significantly higher than preop-erative levels(P<0.05),while no significant differences in renal function indicators were observed in the other two groups(P>0.05).Conclusion The flap embedding technique significantly improves patients'quality of life and reduces the incidence of postoperative complications.It is worthy of further promotion in clinical practice.

Objective To compare the clinical efficacy of different urinary diversions,specifically exploring whether the flap embedding technique can improve bladder cancer patients'quality of life and reduce the incidence of related complications.Methods 63 bladder cancer patients undergoing radical cystectomy with urinary diver-sion,between December 2022 and December 2023,were divided into three groups:Ileal conduit group(n=21),flap embedding technique group(n=21),and traditional cutaneous ureterostomy group(n=21).General clini-cal data,surgical data,preoperative and postoperative renal function indicators,incidence of complications within 6 months postoperatively,and quality of life scores were compared among the groups.Results The operative time in the ileal conduit group was longer than that in the other two groups(P<0.05).The quality of life scores in the flap embedding technique group were superior to those in the traditional cutaneous ureterostomy group(P<0.05),but no significant difference was found compared to the ileal conduit group(P>0.05).In terms of postoperative complications,the incidence of intestinal obstruction in the flap embedding technique group was lower than that in the ileal conduit group(P<0.05),and the rate of reinsertion of a single-J stent for hydronephrosis in the flap embedding technique group was lower than that in the traditional cutaneous ureterostomy group(P<0.05).Postop-erative serum creatinine levels in the traditional cutaneous ureterostomy group were significantly higher than preop-erative levels(P<0.05),while no significant differences in renal function indicators were observed in the other two groups(P>0.05).Conclusion The flap embedding technique significantly improves patients'quality of life and reduces the incidence of postoperative complications.It is worthy of further promotion in clinical practice.

Objective To explore the differences in coronary-based and lesion-based fat attenuation index(FAI)in patients with coronary artery disease(CAD)across different risk stratifications,and to compare the diagnostic efficiency of coronary-based and lesion-based FAI in stable CAD patients with myocardial ischemia.Methods The patients with CAD,who underwent preoperative coronary CT angiography(CCTA)and invasive coronary angiography(ICA)with coronary fractional flow reserve(FFR)measurement between Apr 2019 and Oct 2022 in Zhongshan Hospital,Fudan University,were retrospectively collected.There were 57 cases of acute coronary syndrome(ACS)patients and 206 cases of stable CAD patients included following inclusion criteria.The coronary-based and lesion-based FAI were measured,and the differences in these indices were recorded and analyzed among ACS patients,ischemic and non-ischemic groups of stable CAD patients(FFR=0.8 as the threshold).ROC curves were utilized to assess the diagnostic efficiency of coronary-based and lesion-based FAI for myocardial ischemia in stable CAD patients.Results The coronary-based FAI and lesion-based FAI in ACS patients were significantly higher than those in stable CAD patients[coronary-based FAI:(-72.40±6.83)HU vs.(-76.82±9.01)HU,P<0.001;lesion-based FAI:(-65.65±4.79)HU vs.(-77.48±8.64)HU,P<0.001].Among stable CAD patients,the lesion-based FAI in the ischemic group was significantly higher than that in the non-ischemic group[(-69.28±5.65)HU vs.(-80.10±7.75)HU,P<0.001].The diagnostic efficiency of lesion-based FAI for predicting myocardial ischemia in stable CAD patients was superior to coronary-based FAI(AUC:0.892 vs.0.525,Z=9.803,P<0.001).Conclusion Coronary-based and lesion-based FAI tended to be higher in ACS patients than in stable CAD patients,suggesting a potential for stratifying CAD patients with different risks.Lesion-based FAI showed some promise in evaluating myocardial ischemia among stable CAD patients.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans ; Chemoradiotherapy/adverse effects* ; Consensus ; Risk Factors ; Stomatitis/etiology*

Guided by the concept of quality by design(QbD), this study optimizes the calcination and quenching process of calcined Magnetitum and establishes the XRD characteristic spectra of calcined Magnetitum, providing a scientific basis for the formulation of quality standards. Based on the processing methods and quality requirements of Magnetitum in the Chinese Pharmacopoeia, the critical process parameters(CPPs) identified were calcination temperature, calcination time, particle size, laying thickness, and the number of vinegar quenching cycles. The critical quality attributes(CQAs) included Fe mass fraction, Fe~(2+) dissolution, and surface color. The weight coefficients were determined by combining Analytic Hierarchy Process(AHP) and the criteria importance though intercrieria correlation(CRITIC) method, and the calcination process was optimized using orthogonal experimentation. Surface color was selected as a CQA, and based on the principle of color value, the surface color of calcined Magnetitum was objectively quantified. The vinegar quenching process was then optimized to determine the best processing conditions. X-ray diffraction(XRD) was used to establish the characteristic spectra of calcined Magnetitum, and methods such as similarity evaluation, cluster analysis, and orthogonal partial least squares-discriminant analysis(OPLS-DA) were used to evaluate the quality of the spectra. The optimized calcined Magnetitum preparation process was found to be calcination at 750 ℃ for 1 h, with a laying thickness of 4 cm, a particle size of 0.4-0.8 cm, and one vinegar quenching cycle(Magnetitum-vinegar ratio 10∶3), which was stable and feasible. The XRD characteristic spectra analysis method, featuring 9 common peaks as fingerprint information, was established. The average correlation coefficient ranged from 0.839 5-0.988 1, and the average angle cosine ranged from 0.914 4 to 0.995 6, indicating good similarity. Cluster analysis results showed that Magnetitum and calcined Magnetitum could be grouped together, with similar compositions. OPLS-DA discriminant analysis identified three key characteristic peaks, with Fe_2O_3 being the distinguishing component between the two. The final optimized processing method is stable and feasible, and the XRD characteristic spectra of calcined Magnetitum was initially established, providing a reference for subsequent quality control and the formulation of quality standards for calcined Magnetitum.
X-Ray Diffraction/methods* ; Drugs, Chinese Herbal/chemistry* ; Quality Control ; Particle Size