Objective:To explore the application of contrast-enhanced ultrasound in the preoperative evaluation of carotid body tumor (CBT).Methods:The clinical data of 13 CBT patients undergoing contrast enhanced ultrasound test and surgical treatment at Peking Union Medical College Hospital from Nov 2017 to Aug 2021 was retrospectively analyzed.Results:Among the 13 patients, 7 patients had bilateral lesions. 18 tumors were identified by contrast enhanced ultrasound, which showed rich blood supply, with marked enhancement in 13 tumors and moderate enhancement in 5 tumors. The origins of the arterial supply for tumors were identified by contrast enhanced ultrasound. Time-intensity curve analysis showed that the tumors had enhancement characteristics of fast wash in and slow wash out. The mean contrast wash in time was (3.33±1.40) s, the mean peak intensity was (10.41±1.74) dB, and the mean wash out time was (56.47±22.28) s. A total of 13 cases underwent successful surgical removal. Five cases of external carotid artery ligation and 2 cases of internal carotid artery reconstruction were performed during surgery. Postoperative transient neurological injury occurred in 5 cases. There were no cases of cerebral infarction or death in the perioperative period. Mean postoperative follow-up was 14.31 months. Five cases of neurological injury had satisfactory recovery and no other adverse events occurred.Conclusions:Contrast enhanced ultrasound is an effective method of preoperative imaging assessment for CBT, which helps the surgical planning and preoperative preparation.

Endovascular aneurysm repair (EVAR) has increasingly replaced traditional open surgery for abdominal aortic aneurysms due to its minimally invasive adventure; however, postoperative circulatory management plays a critical role in patient outcomes. This review systematically examines three core strategies in post-EVAR care. Firstly, hemodynamic management requires precise regulation of blood pressure and cardiac output to prevent hypertension-induced stent graft migration or aneurysm sac expansion, while avoiding hypotension-related visceral hypoperfusion. Secondly, fluid balance optimization emphasizes individualized adjustment of crystalloid-to-colloid ratios through dynamic monitoring, aiming to maintain organ perfusion while protecting cardiopulmonary function. Thirdly, anticoagulation and thrombosis prevention strategies must balance the intensity of low molecular weight heparin or direct oral anticoagulants against bleeding risks, incorporating mechanical prophylaxis to further reduce thrombotic events.

In China,radiofrequency ablation(RFA)has become one of the main surgical approaches for the treatment of lower extremity varicose veins.However,differences exist in patient outcomes and adherence to treatment protocols among medical centers at different levels.To address this issue,the Expert Working Group on Venous Disease of the Expert Committee of the National Quality Control Center for Peripheral Vascular Interventional Technology developed the Chinese Expert Consensus on the Development of the Quality Evaluation Index System for Radiofrequency Ablation in Lower Extremity Varicose Veins,based on authoritative domestic and international guidelines,clinical studies,and the experience of international index systems.This consensus defines the quality evaluation index system for RFA in lower extremity varicose veins,including process indicators and outcome indicators.The establishment of this index system will help surgeons identify key steps in the treatment process,optimize full-process patient management,and reduce the incidence of complications,thereby promoting the standardization,normalization,and homogenization of RFA for lower extremity varicose veins across hospitals nationwide.

BACKGROUND:Early diagnosis of pulmonary fibrosis is the foundation for timely antifibrotic drug therapy.Therefore,exploring and discovering ideal biomarkers that can be effectively used for the early diagnosis of pulmonary fibrosis is crucial for the treatment of the disease.OBJECTIVE:To conduct an in-depth analysis of key autophagy-related genes involved in the process of pulmonary fibrosis by means of bioinformatics and machine learning techniques,in order to investigate whether autophagy-related core genes of pulmonary fibrosis can be used as reliable biomarkers in the assessment of the progression of pulmonary fibrosis.METHODS:Two datasets of pulmonary fibrosis,GSE24206 and GSE110147,were downloaded from the Gene Expression Omnibus(GEO)database(a public database developed and maintained by the U.S.National Center for Biotechnology Information to store and share bioinformatics data),and the gene expression matrices of these two datasets were normalized by using the"limma"package in R software.The autophagy-related genes were extracted from GeneCards database(a database created by the U.S.National Center for Biotechnology Information,which automatically integrates gene-centric data from about 200 Web sources,including genomic,transcriptomic,proteomic,genetic,clinical,and functional information).Differential gene analysis was performed on the pulmonary fibrosis dataset,and the common genes were extracted by cross-comparing the differential genes with the autophagy genes,so as to identify autophagy genes that may play a role in the process of pulmonary fibrosis.The intersecting genes were analyzed for functional enrichment and cellular immune infiltration by gene ontology and Kyoto Encyclopedia of Genes and Genomes.Core genes of pulmonary fibrosis associated with autophagy were screened by protein-protein interactions and machine learning,and core genes were subjected to the enrichment analysis.Diagnostic models were constructed from the identified core genes.Calibration curves were used to assess the predictive ability of the line graph model.An external dataset,GSE21369,was used to perform a receiver operating characteristic curve analysis to validate the expression profiles of pulmonary fibrosis genes associated with autophagy,as well as to predict Chinese herbs associated with the genes IL6 and COL1A2 via the Coremine database.Finally,human embryonic lung fibroblasts were cultured and modelled by transforming growth factor-β1 treatment,and the relative expression of genes in the model cells was verified using qRT-PCR.RESULTS AND CONCLUSION:(1)A total of 51 pulmonary fibrosis differential genes and 25 genes intersecting with autophagy genes were obtained.Gene ontology analysis showed that the 25 intersecting genes were related to extracellular matrix tissue,collagen metabolism,collagen pro-fibroblasts,and growth factor binding,etc.The results of Kyoto Encyclopedia of Genes and Genomes enrichment analysis indicated that they were mainly related to the Phosphatidylinositol 3-kinase/protein kinase B signaling pathway and the signaling pathway of the extracellular matrix-receptor interactions.(2)Immunoinfiltration analysis revealed that the expression of activated memory CD4+T cells,M0 macrophages,and resting dendritic cells was significantly elevated in the pulmonary fibrosis group(P＜0.05),showing a strong correlation.(3)Two autophagy signature genes involved in the progression of pulmonary fibrosis were identified:COL1A2 and IL6.The column-line diagram model showed that the two core genes predicted the onset of pulmonary fibrosis more accurately,and the receiver operating characteristic curve analysis showed that the two characteristic genes had diagnostic significance.COL1A2 and IL6 were related to the cell-cycle pathway,mitogen-activated protein kinase signaling pathway,Janus kinase-signal transduction and activator of transcription signaling pathway and cytokine-cytokine receptor interactions.A total of 20 Chinese herbs were predicted to be related to COL1A2 and IL6 genes,and their efficacies were mainly to clear away heat and detoxify toxins and to invigorate blood and move qi.COL1A2 and IL6 were verified to be highly expressed in pulmonary fibrosis.To conclude,COL1A2 and IL6 may be potential diagnostic biomarkers for pulmonary fibrosis,but its specificity to pulmonary fibrosis needs to be further investigated.

Objective:To investigate the association between different sleep patterns and anxiety and depression in hemodialysis patients, thereby providing a reference for improving their psychological and sleep conditions.Methods:This study was a cross-sectional survey.A convenience sampling method was used to select patients undergoing regular dialysis at a hemodialysis centre in the Sixth People's Hospital of Huizhou from May 2023 to May 2024. Sleep quality, anxiety and depression symptoms were assessed using the Pittsburgh Sleep Quality Index (PSQI), Self-rating Anxiety Scale for (SAS) and Self-rating Depression Scale (SDS). Potential profiles were analyzed using Mplus 8.3 and mixed-effects Logistic regression was used to explore the association between sleep pattern category and anxiety-depression.Results:A total of 264 valid questionnaires were returned, of which 142 were males and 122 were females, aged (56.61 ± 12.69) years old. The sleep patterns of hemodialysis patients were divided into three potential categories:patients with overall better sleep quality31.4%(83/264), patients with poor sleep using hypnotic medication12.9%(34/264), and patients with poor sleep without hypnotic medication 55.7%(147/264). Significant differences were found in age, education, anxiety and depression across different sleep categories ( χ2 values were 9.75-25.72, all P<0.05). Compared with the group with overall better sleep quality, the risk of anxiety was higher in the group with sleep difficulties without hypnotic medication ( OR=5.409, P<0.05), and the risk of anxiety and depression ( OR=5.010, 6.488, both P<0.05) was higher in the group with sleep disorders using hypnotic medication. Compared with patients with poor sleep without hypnotic medication, patients with poor sleep using hypnotic medication had a higher risk of depression ( OR=6.501, P<0.05). Conclusions:There are three potential categories of sleep patterns in hemodialysis patients and significant correlations between them and anxiety and depression, and precise screening and individualized interventions need to be implemented in the clinic to improve patients' quality of life.

In China,radiofrequency ablation(RFA)has become one of the main surgical approaches for the treatment of lower extremity varicose veins.However,differences exist in patient outcomes and adherence to treatment protocols among medical centers at different levels.To address this issue,the Expert Working Group on Venous Disease of the Expert Committee of the National Quality Control Center for Peripheral Vascular Interventional Technology developed the Chinese Expert Consensus on the Development of the Quality Evaluation Index System for Radiofrequency Ablation in Lower Extremity Varicose Veins,based on authoritative domestic and international guidelines,clinical studies,and the experience of international index systems.This consensus defines the quality evaluation index system for RFA in lower extremity varicose veins,including process indicators and outcome indicators.The establishment of this index system will help surgeons identify key steps in the treatment process,optimize full-process patient management,and reduce the incidence of complications,thereby promoting the standardization,normalization,and homogenization of RFA for lower extremity varicose veins across hospitals nationwide.

Objective:To investigate the association between different sleep patterns and anxiety and depression in hemodialysis patients, thereby providing a reference for improving their psychological and sleep conditions.Methods:This study was a cross-sectional survey.A convenience sampling method was used to select patients undergoing regular dialysis at a hemodialysis centre in the Sixth People's Hospital of Huizhou from May 2023 to May 2024. Sleep quality, anxiety and depression symptoms were assessed using the Pittsburgh Sleep Quality Index (PSQI), Self-rating Anxiety Scale for (SAS) and Self-rating Depression Scale (SDS). Potential profiles were analyzed using Mplus 8.3 and mixed-effects Logistic regression was used to explore the association between sleep pattern category and anxiety-depression.Results:A total of 264 valid questionnaires were returned, of which 142 were males and 122 were females, aged (56.61 ± 12.69) years old. The sleep patterns of hemodialysis patients were divided into three potential categories:patients with overall better sleep quality31.4%(83/264), patients with poor sleep using hypnotic medication12.9%(34/264), and patients with poor sleep without hypnotic medication 55.7%(147/264). Significant differences were found in age, education, anxiety and depression across different sleep categories ( χ2 values were 9.75-25.72, all P<0.05). Compared with the group with overall better sleep quality, the risk of anxiety was higher in the group with sleep difficulties without hypnotic medication ( OR=5.409, P<0.05), and the risk of anxiety and depression ( OR=5.010, 6.488, both P<0.05) was higher in the group with sleep disorders using hypnotic medication. Compared with patients with poor sleep without hypnotic medication, patients with poor sleep using hypnotic medication had a higher risk of depression ( OR=6.501, P<0.05). Conclusions:There are three potential categories of sleep patterns in hemodialysis patients and significant correlations between them and anxiety and depression, and precise screening and individualized interventions need to be implemented in the clinic to improve patients' quality of life.

BACKGROUND:Early diagnosis of pulmonary fibrosis is the foundation for timely antifibrotic drug therapy.Therefore,exploring and discovering ideal biomarkers that can be effectively used for the early diagnosis of pulmonary fibrosis is crucial for the treatment of the disease.OBJECTIVE:To conduct an in-depth analysis of key autophagy-related genes involved in the process of pulmonary fibrosis by means of bioinformatics and machine learning techniques,in order to investigate whether autophagy-related core genes of pulmonary fibrosis can be used as reliable biomarkers in the assessment of the progression of pulmonary fibrosis.METHODS:Two datasets of pulmonary fibrosis,GSE24206 and GSE110147,were downloaded from the Gene Expression Omnibus(GEO)database(a public database developed and maintained by the U.S.National Center for Biotechnology Information to store and share bioinformatics data),and the gene expression matrices of these two datasets were normalized by using the"limma"package in R software.The autophagy-related genes were extracted from GeneCards database(a database created by the U.S.National Center for Biotechnology Information,which automatically integrates gene-centric data from about 200 Web sources,including genomic,transcriptomic,proteomic,genetic,clinical,and functional information).Differential gene analysis was performed on the pulmonary fibrosis dataset,and the common genes were extracted by cross-comparing the differential genes with the autophagy genes,so as to identify autophagy genes that may play a role in the process of pulmonary fibrosis.The intersecting genes were analyzed for functional enrichment and cellular immune infiltration by gene ontology and Kyoto Encyclopedia of Genes and Genomes.Core genes of pulmonary fibrosis associated with autophagy were screened by protein-protein interactions and machine learning,and core genes were subjected to the enrichment analysis.Diagnostic models were constructed from the identified core genes.Calibration curves were used to assess the predictive ability of the line graph model.An external dataset,GSE21369,was used to perform a receiver operating characteristic curve analysis to validate the expression profiles of pulmonary fibrosis genes associated with autophagy,as well as to predict Chinese herbs associated with the genes IL6 and COL1A2 via the Coremine database.Finally,human embryonic lung fibroblasts were cultured and modelled by transforming growth factor-β1 treatment,and the relative expression of genes in the model cells was verified using qRT-PCR.RESULTS AND CONCLUSION:(1)A total of 51 pulmonary fibrosis differential genes and 25 genes intersecting with autophagy genes were obtained.Gene ontology analysis showed that the 25 intersecting genes were related to extracellular matrix tissue,collagen metabolism,collagen pro-fibroblasts,and growth factor binding,etc.The results of Kyoto Encyclopedia of Genes and Genomes enrichment analysis indicated that they were mainly related to the Phosphatidylinositol 3-kinase/protein kinase B signaling pathway and the signaling pathway of the extracellular matrix-receptor interactions.(2)Immunoinfiltration analysis revealed that the expression of activated memory CD4+T cells,M0 macrophages,and resting dendritic cells was significantly elevated in the pulmonary fibrosis group(P＜0.05),showing a strong correlation.(3)Two autophagy signature genes involved in the progression of pulmonary fibrosis were identified:COL1A2 and IL6.The column-line diagram model showed that the two core genes predicted the onset of pulmonary fibrosis more accurately,and the receiver operating characteristic curve analysis showed that the two characteristic genes had diagnostic significance.COL1A2 and IL6 were related to the cell-cycle pathway,mitogen-activated protein kinase signaling pathway,Janus kinase-signal transduction and activator of transcription signaling pathway and cytokine-cytokine receptor interactions.A total of 20 Chinese herbs were predicted to be related to COL1A2 and IL6 genes,and their efficacies were mainly to clear away heat and detoxify toxins and to invigorate blood and move qi.COL1A2 and IL6 were verified to be highly expressed in pulmonary fibrosis.To conclude,COL1A2 and IL6 may be potential diagnostic biomarkers for pulmonary fibrosis,but its specificity to pulmonary fibrosis needs to be further investigated.

Objective:To explore the application of contrast-enhanced ultrasound in the preoperative evaluation of carotid body tumor (CBT).Methods:The clinical data of 13 CBT patients undergoing contrast enhanced ultrasound test and surgical treatment at Peking Union Medical College Hospital from Nov 2017 to Aug 2021 was retrospectively analyzed.Results:Among the 13 patients, 7 patients had bilateral lesions. 18 tumors were identified by contrast enhanced ultrasound, which showed rich blood supply, with marked enhancement in 13 tumors and moderate enhancement in 5 tumors. The origins of the arterial supply for tumors were identified by contrast enhanced ultrasound. Time-intensity curve analysis showed that the tumors had enhancement characteristics of fast wash in and slow wash out. The mean contrast wash in time was (3.33±1.40) s, the mean peak intensity was (10.41±1.74) dB, and the mean wash out time was (56.47±22.28) s. A total of 13 cases underwent successful surgical removal. Five cases of external carotid artery ligation and 2 cases of internal carotid artery reconstruction were performed during surgery. Postoperative transient neurological injury occurred in 5 cases. There were no cases of cerebral infarction or death in the perioperative period. Mean postoperative follow-up was 14.31 months. Five cases of neurological injury had satisfactory recovery and no other adverse events occurred.Conclusions:Contrast enhanced ultrasound is an effective method of preoperative imaging assessment for CBT, which helps the surgical planning and preoperative preparation.

Endovascular aneurysm repair (EVAR) has increasingly replaced traditional open surgery for abdominal aortic aneurysms due to its minimally invasive adventure; however, postoperative circulatory management plays a critical role in patient outcomes. This review systematically examines three core strategies in post-EVAR care. Firstly, hemodynamic management requires precise regulation of blood pressure and cardiac output to prevent hypertension-induced stent graft migration or aneurysm sac expansion, while avoiding hypotension-related visceral hypoperfusion. Secondly, fluid balance optimization emphasizes individualized adjustment of crystalloid-to-colloid ratios through dynamic monitoring, aiming to maintain organ perfusion while protecting cardiopulmonary function. Thirdly, anticoagulation and thrombosis prevention strategies must balance the intensity of low molecular weight heparin or direct oral anticoagulants against bleeding risks, incorporating mechanical prophylaxis to further reduce thrombotic events.