Achondroplasia (ACH) is a common inherited skeletal dysplasia (inherited dwarfism) that compromises quality of life across the lifespan. In 2021, vosoritide became the first approved precision therapy for ACH and is now available in more than 40 countries. Compared with prior symptomatic measures, vosoritide has demonstrated favorable efficacy and a reassuring safety profile. Nevertheless, existing international ACH guidelines largely emphasize complication management and symptomatic care, and there is no unified consensus on pharmacologic therapy. To address this gap, an international expert group developed the International Consensus Guidelines for the Implementation and Monitoring of Vosoritide Therapy in Patients with Achondroplasia providing systematic recommendations that span the continuum of care - from initial patient contact and pre-treatment assessment to medication counseling, injection training, and long-term outcome monitoring. These recommendations complement and refine current management and nursing protocols for individuals with ACH and offer practical guidance for clinicians across diverse regions. This article highlights key elements of the guideline to provide evidence-based support and clinical direction for healthcare professionals in China treating children with ACH using vosoritide.
Humans ; Achondroplasia/drug therapy* ; Consensus ; Practice Guidelines as Topic ; Child

Objective To explore the pathogenesis and prognostic factors of liposarcoma in the head and neck region, and simultaneously analyze the efficacy of different treatment regimens. Methods A retrospective analysis was performed on all patients with primary untreated head and neck liposarcoma who were diagnosed and underwent surgical treatment at our hospital from January 2008 to January 2024. All patients were monitored during follow-up, and their prognoses were analyzed using SPSS software. Results A total of 30 patients were included in the study. Liposarcoma accounted for up to 60% of the cases in the orbit, while the remaining liposarcomas were primarily located in various interspaces of the neck. Dedifferentiated liposarcoma was the most common type, comprising 33%, while myxoid pleomorphic liposarcoma was the rarest at 4%. The tumor pathological type (P<0.001) and Ki67 (P=0.014) significantly affected the tumor control rate. However, an analysis of disease-specific survival rates revealed no significant differences across various factors (all P>0.05). Conclusion The prognosis of head and neck liposarcoma is better compared to that of liposarcomas in other parts of the body. However, myxoid pleomorphic liposarcoma, pleomorphic fat sarcoma, and high Ki67 levels are indicators of poor prognosis. Additionally, postoperative adjuvant radiotherapy does not significantly enhance disease-specific survival rates.

Objective To evaluate the application value of superb microvascular imaging(SMI)in pre-dicting ovarian cancer staging.Methods One hundred and thirty-six patients with ovarian cancer who under-went surgical treatment in our hospital from March 2019 to May 2024 were enrolled.Transvaginal,transab-dominal low-frequency,and transabdominal high-frequency two-dimensional grayscale imaging,Color Doppler Flow Imaging(CDFI),and SMI were performed before surgery for staging prediction.Taking surgical-patho-logical staging as the gold standard,the sensitivity,specificity,and accuracy of the combined application of transvaginal SMI,transabdominal low-frequency SMI,and transabdominal high-frequency SMI for predicting ovarian cancer staging were calculated.The receiver operating characteristic(ROC)curve was established,the area under the ROC curve(AUC)was calculated,and the diagnostic efficacy of SMI for predicting ovarian cancer staging was determined.Results The combined application of transvaginal SMI,transabdominal low-frequency SMI,and transabdominal high-frequency SMI for predicting ovarian cancer staging showed that sen-sitivity was 89.35%,92.36%,81.65%,and 83.21%for stages Ⅰ,Ⅱ,Ⅲ,Ⅳ,respectively;specificity was 86.93%,84.29%,83.39%,and 82.88%;accuracy was 92.50%,94.38%,80.15%,and 84.96%;and AUC was 0.799,0.760,0.695,and 0.727.Conclusion SMI has a high application value in predicting the stage of ovarian cancer,especially for stage Ⅰ and stage Ⅱ ovarian cancer.

OBJECTIVE To investigate the prognostic factors of chondrosarcoma of the larynx,deeply analyze its clinical data,and provide a theoretical basis for better treatment of chondrosarcoma of the larynx.METHODS A retrospective analysis was conducted on the complete clinical data of patients with primary chondrosarcoma of the larynx admitted to the Department of Otolaryngology Head and Neck Surgery,Beijing Tongren Hospital,Capital Medical University from January 2010 to December 2024.RESULTS A total of 15 patients were included,including 11 males and 4 females,with a gender ratio of 11∶4.The average age of onset was 57.3 years,and the average clinical symptom duration was 12.2 months.The tumors were mainly located in the cricoid cartilage in 11 patients,in the arytenoid cartilage in 2 patients,and in the thyroid cartilage in 2 patients.Tumor grading showed that 7 patients were grade I and 8 were grade II.Four patients underwent transoral laser minimally invasive surgery,2 patients underwent partial laryngectomy+tracheotomy,and 9 patients underwent total laryngectomy/cervical lymph node dissection+tracheostomy.The 5-year overall survival rate was 85.7%,the 5-year disease-specific survival rate was 100%,and the 5-year local-regional control rate was 90.9%.Gender,tumor location,tumor grade,Ki-67,tumor size,and whether larynx preservation surgery was performed did not affect the local-regional control rate or disease-specific survival rate.CONCLUSION Laryngeal chondrosarcoma generally has a longer disease history and is difficult to detect.The pathological type is mostly well-differentiated.Regional or distant metastasis is rare,and the long-term survival rate is good.Surgical resection is the preferred treatment option.On the basis of not reducing the tumor control rate,surgery that prioritizes preserving laryngeal function should be given priority,while comprehensive treatment is generally not recommended.

OBJECTIVE To compare the ability of ultra-high-resolution CT(U-HRCT)and multi-slice spiral CT(MSCT)to display key vocal transmission structures in the middle ear.METHODS Subjects with normal middle ear structures who underwent 0.1 mm layer thickness U-HRCT and 0.625 mm layer thickness MSCT scans at the same time in Beijing Friendship Hospital affiliated to Capital Medical University from December 2019 to August 2024 were retrospectively enrolled.Two experienced head and neck radiologists reconstruct standard transsectional,coronal images based on the thinnest layer thickness.According to the 5-point method,16 key sound transmission structures of the middle ear,including malleus,incus and stapes,as well as joints,ligaments and tendons,were evaluated for image quality scoring.The standard deviation(SD)value,signal noise ratio(SNR),and contrast noise ratio(CNR)of bone in the malleus region and intratympanic gas were measured and calculated on the two examination images.RESULTS Thirty patients(47 sides)with normal middle ear structure were included,including 18 males and 12 females.The two physicians compared the results of U-HRCT in showing malleus head,malleus neck,malleus handle,incus body,long process,and short process,5 points accounted for 100%,and the 5-point scores of incudomalleolar joint space,incudostapedial joint space,stapes footplate and annular ligament were 100%,98.29%,75.83%and 77.83%,respectively,which were significantly higher than those of MSCT(P<0.001).In addition,U-HRCT showed higher scores for lenticular process,stapes head,anterior arch of stapes,posterior arch of stapes,annular ligament,stapes muscle,and tendo musculi tensoris tympani than MSCT(P<0.001),and the lenticular process showed a 100%display rate.There was no significant difference in the SNR between the two groups(P>0.05),but the SD value of the malleus in U-HRCT was 161.6±36.4,which was significantly lower than that in MSCT(297.8±128.1),and the difference was statistically significant(P<0.001).CONCLUSION U-HRCT can clearly visualize the key sound transmission structures of the middle ear,and its visualization ability is significantly better than that of MSCT.

Objective:To summarize the theoretical basis and practical experience of the hospital where the author works, in actively promoting the interdisciplinary integration of ″Medicine+ ″, and provide reference for hospitals of the same type.Methods:Based on the Resource-Based View framework, this study analyzed the core dimension heterogeneous resources including organizational capital, physical and financial capital, and human capital through a case study of Zhongnan Hospital of Wuhan University, systematically examining its interdisciplinary research promotion strategies.Results:The hospital had created a strong interdisciplinary atmosphere. Its scientific research and innovation capabilities had been significantly enhanced. High-quality interdisciplinary academic achievements had emerged continuously. And its academic influence has continued to expand.Conclusions:Interdisciplinary integration is a systematic project that requires organized implementation and a ″multi-pronged approach″: coordinating and innovating the organizational management system, conducting comprehensive resource inventorying and ensuring sustainable provision, making overall plans for talent introduction and cultivation, and adhering to the clinical-problem-oriented approach in carrying out interdisciplinary integration.

AIM To study the chemical constituents from Commelina communis L.METHODS The 95％ethanol extract from C.Communis was isolated and purified by activated charcoal,silica gel,Sephadex LH-20,and HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.RESULTS Seventeen compounds were isolated and identified as p-hydroxyl ethyl cinnamate(1),p-hydroxybenzaldehyde(2),vanillin(3),4-hydroxy-2,3-dimethyl-2-nonen-4-olide(4),hemeratrol A(5),chakyunglupulin B(6),chakyunglupulin A(7),2-(2-hydroxyethyl)-3-methylfumaric acid(8),N-cis-feruloyl tyramine(9),N-trans-coumaroyltyramine(10),5,6,7,3',4',5'-hexamethoxyflavone(11),N-trans-sinapoyltyramine(12),dihydro-feruloyltyramine(13),N-trans-feruloyltyramine(14),2-phenylethanol-β-D-glucoside(15),quercetin-3-O-β-D-glucoside(16),and isorhamnetin-3-O-β-D-glucopyranoside(17).CONCLUSION Compounds 4-8,10 and 11 are isolated from Commelina genus for the first time,and 1,9,12-15 are first isolated from this plant.

Objective:Using resting-state functional magnetic resonance imaging (rs-fMRI), we explored the changes in dynamic functional network connections (dFNC) in the brains of patients with first-episode schizophrenia (SZ) and evaluated the potential clinical value of dFNC changes in combination with a machine learning model.Methods:Clinical data of 50 patients with schizophrenia (schizophrenia group), 29 males and 21 females, aged 18-47 (28.3±7.2) years, who attended the psychiatric department of the Second Affiliated Hospital of Xinxiang Medical College from January 2022 to August 2023, were retrospectively included. In the same period, 50 healthy controls matched for age and education (healthy control group) were recruited, of which 24 were male and 26 were female, aged 18-48 (28.0±6.9) years. The rs-fMRI imaging data were acquired for each subject. The dFNC cluster analysis was performed based on independent component analysis, and the differences between groups with different state FNC matrices were statistically analyzed. The dataset samples were divided into a training set (35 SZ patients and 35 healthy controls) and a validation set (15 SZ patients and 15 healthy controls) in a 7∶3 ratio. A machine learning classification model was constructed based on the dFNC matri. The performance of the model for distinguishing between schizophrenia and healthy controls was assessed by five-fold cross-validation using accuracy (ACC), recall (REC), F1 score, and area under curve (AUC) metrics of the working characteristics of the subjects.Results:Five network functional connectivity states were obtained by dFNC cluster analysis. Patients with first SZ showed a wide range of high connectivity and low connectivity changes on the neural dynamic functional networks, as shown by increased dynamic connectivity within the visual network (VIS) in state 1 (weak connectivity); The dynamic connectivity between executive control network (ECN) and VIS, frontal parietal network (FPN) and VIS decreases at state 3 (strong connectivity); The dynamic connectivity between default mode network (DMN) and FPN, DMN and ventral attention network (VAN) decreases at state 4 (weak connectivity). The machine learning results show that the classification model constructed by the dFNC matrix combined with SVM in state 3 (strongly connected) in the validation set obtains the best classification results (ACC=0.938; REC=0.938; F1=0.937; AUC=0.984), and the overall average classification ACC of the five states reaches 0.751, and AUC reaches 0.784.Conclusion:Patients with first-episode SZ have some brain functional network connectivity abnormalities, and a machine learning model based on dFNC features has high classification performance in distinguishing first-episode SZ from HC.

Objective To explore the symptom clusters in renal transplant recipients and con-struct a concurrent symptom network to identify core symptoms.Methods A total of 343 patients with followed up after renal transplantation were selected as the study subjects.A general information questionnaire and the Chinese version of the Modified Transplant Symptom Occurrence and Symptom Distress Scale were employed to analyze the occurrence of symptoms in patients.In this study,only symptoms with an incidence rate greater than 20％and Spearman correlation coefficient greater than 0.40 between symptom severity and total score were retained.Exploratory factor analysis was used to extract symptom clusters with a factor loading of ≥0.45 as the criterion.The R language was utilized to construct symptom network,based on which core symptoms and bridge symptoms were identified.Results A total of 5 symptom clusters were extracted in this study:the neuro-gastrointestinal symp-tom cluster,the mood-related symptom cluster,the hormone-related symptom cluster,the energy de-ficiency symptom cluster and the vision-related symptom cluster.The core symptoms were anxiety(rs=1.75),mood swings(rs=1.50)and muscle weakness(rs=1.27).The top three symptoms in terms of bridge strength were muscle weakness(rb=0.87),lack of vitality(rb=0.66)and fa-tigue(rb=0.65).Conclusion Multiple symptoms are presented in patients after renal transplanta-tion.Based on the results of symptom network analysis,clinicians can strengthen the assessment of core symptoms and bridge symptoms to develop precise intervention strategies and improve the effectiveness of symptom management.