Chronic mucocutaneous candidiasis (CMC) is an infectious phenotype characterized by recurrent or persistent infections caused by Candida species that affect the skin, nails, oral, and genital mucosae for a duration exceeding six months. Current research suggests that CMC is an immunodeficiency disease with a complex pathogenesis. Patients with CMC have various defects in nonspecific and/or specific immunity against Candida infection, resulting in the inability of patients to defend themselves against Candida infection. CMC can be stratified into primary CMC and secondary CMC based on etiology. Primary CMC is often associated with genetic mutations leading to immunodeficiencies in T helper cell 17 and interleukin-17, whereas secondary CMC is frequently linked to factors such as human immunodeficiency virus infection, diabetes mellitus, and immunosuppressive therapy. Primary CMC typically manifests as Candida infections, with distinct genetic mutations often correlating to varied concomitant symptoms. Secondary CMC may present with not only superficial mucosal Candida infections and manifestations of the underlying primary disease but also with invasive fungal infections. Diagnosing CMC requires an integration of medical history and clinical presentation, supplemented by the outcomes of auxiliary diagnostic procedures, including microscopic examination of fungal smear, fungal culture, immunological testing, and genetic sequencing and analysis. Furthermore, confirming primary CMC requires exclusion of the aforementioned secondary factors. At present, antifungal drugs such as triazoles, echinocandins, and polyenes are the main treatment for CMC. Moreover, immunotherapy with biologics such as Janus kinase (JAK) inhibitors provides more options for the clinical treatment of patients with CMC. Gene therapy also has potential clinical application value. In this review, we discuss the etiologies, pathogenesis, clinical manifestations, diagnosis, and treatments of CMC, aiming to provide a reference for the clinical diagnosis and treatment of CMC.

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 analyze the epidemiological characteristics of newly diagnosed occupational diseases in Guangdong Province from 2019 to 2023. Methods Data on newly diagnosed occupational diseases reported in Guangdong Province from 2019 to 2023 were collected from the national occupational disease network reporting system. The spectrum of occupational diseases and their distribution by region, industry, and population were analyzed. Results A total of 4 136 newly diagnosed occupational disease cases were reported in Guangdong Province from 2019 to 2023, showing an overall downward trend. Newly diagnosed cases were classified into eight categories and 53 types of occupational diseases. In terms of the number of cases, the top five categories were occupational diseases of the ear, nose, throat and oral cavity;occupational pneumoconiosis and other respiratory diseases; occupational diseases caused by physical factors; occupational chemical poisoning; and occupational tumors, accounting for 98.62% of all cases. The top ten specific disease types were occupational noise-induced deafness, occupational silicosis, occupational other pneumoconiosis, occupational chronic benzene poisoning, occupational heatstroke, occupational hand-arm vibration disease, occupational coal workers′ pneumoconiosis, occupational welders′ pneumoconiosis, occupational tumor (leukemia caused by benzene exposure), and occupational chronic n-hexane poisoning, accounting for 94.85% of all cases. Most of the cases were distributed in the Pearl River Delta region, accounting for 89.19%; as well as manufacturing industry, accounting for 84.89%. Male cases accounted for 87.02%. Most diagnoses occurred in individuals aged >40-60 years, accounting for 74.73%. Conclusion Newly diagnosed occupational diseases in Guangdong Province from 2019 to 2023 showed the following characteristics: concentration of categories and disease types, polarization of regional distribution, industry clustering, and population difference. The disease spectrum is evolving from a dual-disease predominance toward a multi-disease predominance.

Objective:To understand the coverage and information consistency rate of National Immunization Program (NIP) vaccines among children born during 2020-2021 in Zhejiang Province, Chongqing City, and Shanxi Province (3 provinces) of China .Methods:A simple random sampling method was used to randomly select 3 counties (districts) from each of the 3 provinces, 5 townships from each county (district), and 5 villages from each township. Vaccination information for seven NIP vaccines was collected for children born between 2020 and 2021 in each village. The vaccination coverage, timely coverage, and consistency rates between the survey data and the Immunization Planning Information System data were analyzed.Results:A total of 1 117 children were investigated. The vaccination coverage for each dose of NIP vaccine ranged from 99.10% to 100.00%, with those in Zhejiang Province, Chongqing City, and Shanxi Province ranging from 99.19% to 100.00%, 98.92% to 100.00%, and 99.20% to 100.00%, respectively. The timely coverage of each dose of NIP vaccine ranged from 89.79% to 99.82%, with those in Zhejiang Province, Chongqing City, and Shanxi Province ranging from 94.09% to 99.73%, 89.52% to 99.73%, and 78.55% to 100.00%, respectively. The consistency rate of information on each dose of NIP vaccine ranged from 94.36% to 99.91%, with those in Zhejiang Province, Chongqing City, and Shanxi Province ranging from 97.85% to 99.73%, 98.92% to 100.00%, and 86.06% to 100.00%, respectively.Conclusions:Coverage of NIP vaccines was generally high among children born during 2020-2021 in the 3 provinces of China, but there were regional differences in the timely coverage of some vaccine doses and the vaccination information consistency rate. It is necessary to strengthen the timely vaccination of children's vaccine booster doses and optimize the management of vaccination services.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

To summarize the nursing experience of 14 children after double lung transplantation for secondary bronchiolitis obliterans after hematopoietic stem cell transplantation(HSCT).Nursing points:to improve preoperative evaluation,actively improve the body status;to conduct the whole-process ECMO management to achieve early safe evacuation;to carry out the task feedback breathing training game to promote lung function;to implement the interest-oriented game exercise to promote muscle strength;to conduct the symptom-matched nutritional support,coping with gastrointestinal graft-host disease;to improve discharge preparation and empower primary caregivers.After careful nursing care,all of the 14 children were discharged smoothly.The follow-up result showed that the children had normal lung function and activities of daily living.

Objective:To explore the clinical efficacy of autologous platelet-rich plasma (PRP) in the treatment of acute injury to the anterior talofibular ligament (ATFL).Methods:A retrospective study was conducted to analyze the data of 96 patients who had been admitted to Department of Orthopedic Trauma Repair, The Nanhua Hospital Affiliated to Hengyang Medical School for acute ATFL injuries of grades Ⅰ & Ⅱ from January 2022 to December 2023. They were divided into 2 groups according to their different treatments. In the PRP group subjected to local PRP injection combined with conservative treatment, there were 49 patients (28 males and 21 females), with an age of (32.5±6.5) years. In the conservative group subjected to traditional conservative treatment, there were 47 patients (24 males and 23 females), with an age of (30.5±5.3) years. The 2 groups were compared in terms of visual analog scale (VAS) pain scores, talar anterior translations, Karlsson scores, American Orthopaedic Foot & Ankle Society (AOFAS) ankle-hindfoot scores before and 6 months after treatment.Results:No statistically significant differences were observed in the baseline characteristics between the 2 groups before treatment, indicating comparability ( P>0.05). All patients were followed up for (9.1±1.7) months. In both groups, the VAS pain scores significantly decreased after treatment than the pre-treatment ones, the talar anterior translations significantly reduced after treatment than the pre-treatment ones, and the AOFAS and Karlsson scores significantly increased after treatment than the pre-treatment ones ( P < 0.05). After 6 months of treatment, the talar translation distance [(2.5±0.4) mm], AOFAS ankle hind foot score [(91.7 ± 4.0) points], and Karlsson score [(93.0±3.5) points] in the PRP group were significantly better than those in the conservative group [(6.1±0.9) mm, (87.1±4.3) points, (89.0±4.0) points]( P < 0.05). Conclusion:In the treatment of acute ATFL injury, PRP therapy demonstrates good clinical efficacy, for it can significantly reduce pain, promote functional recovery, and improve joint stability.

Objective:To compare the clinical outcomes and costs in arthroscopic repair of small and medium-sized supraspinatu tendon tears between double-pulley suture-bridge (DPSB) and traditional suture bridge (SB).Methods:A retrospective study was conducted at Department of Joint Surgery, The Second Hospital Affiliated to Hengyang Medical School to analyze the data of 26 patients with small and medium-sized supraspinatus tendon tears who had been treated by SB repair from May 2018 to December 2020 (SB group) and those of 35 patients with small and medium-sized supraspinatus tendon tears who had been treated by DPSB repair from January 2021 to December 2022 (DPSB group). There were 61 patients in the 2 groups, including 44 males and 17 females, with an age of (59.1±7.5) years. The left shoulder was affected in 26 patients and the right shoulder in 35 patients. The tear size was small in 25 cases and medium in 36 ones. The total number of anchors used, total anchoring costs, and surgical time were recorded and compared between the 2 groups. Visual analogue scale (VAS), American Shoulder and Elbow Surgeons (ASES) score, University of California Los Angeles (UCLA) score and shoulder range of motion were used to evaluate the clinical outcomes of the 2 groups before surgery and at the last follow-up. Comparisons were made within and between the 2 groups. Tendon integrity was assessed using MRI or ultrasound at 3, 6, 12 months or at the last follow-up.Results:There was no statistically significant difference in the preoperative general data between the 2 groups, indicating comparability ( P>0.05). DPSB and SB groups were followed up for (28.1±3.5) and (27.1±1.8) months, respectively. There was no statistically significant difference between DPSB group and SB group in surgical time or total number of anchors ( P>0.05). The total costs of anchoring in DPSB group [(6,028.6±173.4) yuan] were significantly lower than those in SB group [(13,257.1±554.2) yuan] ( P<0.05). At the last follow-up, the anterior flexion, abduction, external rotation and internal rotation of the shoulder, as well as VAS pain score, ASES score and UCLA score, were significantly better in both DPSB group and SB group than their preoperative values ( P<0.05), but there were no statistically significant differences between DPSB group and SB group ( P>0.05). There was no significant difference either in tendon retear between DPSB group (2 cases) and SB group (1 case) ( P>0.05). No such complication as wound infection or nerve damage was found in either group. Conclusions:In arthroscopic repair of small and medium-sized supraspinatu tendon tears, both DPSB and SB techniques can achieve satisfactory and comparable clinical outcomes. However, DPSB leads to lower total costs of anchoring.

Objective To explore the current status of bone metabolism abnormalities after lung transplantation and its influencing factors,and provide scientific references for the formulation of nursing intervention measures.Methods A retrospective analysis of the clinical data of 125 patients undergoing lung transplantation at a lung transplant center from June 2021 to August 2023 was conducted.The paired sample t-test was used to compare the trends in bone mineral density(BMD)before and after transplantation.Postoperative BMD was compared to domestic age-matched norms using the single sample t-test.Univariate analysis and unordered multinomial logistic regression were employed to identify factors associated with bone metabolism abnormalities post-transplantation.Results The incidence of bone metabolism abnormalities after lung transplantation was 62.4％,with osteopenia and osteoporosis rates at 36.8％and 25.6％,respectively.The BMD of the femoral neck and left hip joint generally showed a declining trend post-transplantation(P＜0.001).Additionally,both male and female patients had lower BMD than the age-matched national norms(P＜0.001).Logistic regression analysis indicated that pre-transplant Activities of Daily Living(ADL)score was a significant factor for post-transplant osteopenia(OR 0.957,95％CI 0.928～0.987).Female gender,pre-transplant low body weight,obesity,reduced forced expiratory volume in one second/forced vital capacity percentage(FEV1/FVC),and ADL score were significant factors for post-transplant osteoporosis,with OR values of 7.181,7.521,15.465,0.960,0.964;95％CI were 1.287～40.061,2.039～27.738,1.158～206.586,0.937～0.983,0.930～0.999,respectively.Conclusion Bone metabolism abnormalities are common in patients post-lung transplantation.Healthcare providers should pay particular attention to female patients,those with low pre-transplant body weight,obesity,reduced FEV1/FVC,and lower ADL scores.Timely,individualized,and multidisciplinary interventions are crucial to slowing postoperative bone loss,reducing the incidence of bone metabolism abnormalities,and improving the health-related quality of life for these patients.