This paper summarizes Professor WANG Xixing's clinical experience in treating immune checkpoint inhibitor-related pneumonitis （CIP） based on the theory of "cough attributed to the five zang （脏） organs". Cough is a common predominant symptom of CIP. According to the theory of "cough attributed to the five zang organs"， drug toxicity triggers cancer toxin， leading to disharmony among the five zang organs， and then lung failing to diffuse and govern descent as the core pathogenesis. Therefore， treatment should focus on harmonizing the five zang organs to restore the normal function of lung qi to diffuse and govern descent. In clinical practice， CIP can be classified into four syndrome patterns， including lung yin depletion， deficiency of both the lung and the spleen with phlegm-dampness， liver fire harassing the lung， and lung-kidney yin deficiency. Correspondingly， Chaimai Jinluo Runfei Decoction （柴麦金络润肺汤） is used to nourish yin and moisten the lung； Qigui Peitu Huayin Decoction （芪桂培土化饮汤） is used to fortify the spleen and tonify the lung， resolve dampness and dispel phlegm； Chaidan Shuyu Runjin Decoction （柴丹疏郁润金汤） is used to drain liver and clear the lung； and Dimai Jinshui Xiangsheng Decoction （地脉金水相生汤） is used to nourish the kidney and moisten the lung.

Objective To evaluate the safety and efficacy of valve-in-valve transcatheter mitral valve replacement(ViV-TMVR)in patients with bioprosthetic valve degeneration who are at high surgical risk.Methods This study is a multi-center,retrospective cohort analysis of 20 consecutive patients who underwent transseptal ViV-TMVR using the Edwards SAPIEN 3 transcatheter heart valve(THV).The primary endpoints include technical success and procedural success,both defined according to the Mitral Valve Academic Research Consortium(MVARC)criteria,as well as mortality and functional change assessed based on New York Heart Association(NYHA)classification at 30-days and six months post-procedure.Clinical follow-up assessments are conducted at 30-days and six months.Results From February 2021 to October 2022,a total of 20 patients with symptoms of bioprosthetic valve degeneration were enrolled across nine sites in China.The patients had a mean age of(73.5±5.5)years,with 85.0％being females and 70.0％classified as NYHA class Ⅲ/Ⅳ.The study achieved a 100.0％technical success rate and a 90.0％procedural success rate finally.All patients remained alive during the 30-day follow-up period.However,six months post-intervention,two patients(10.0％)were re-hospitalized due to heart failure,and sadly,one of them(5.0％)died.None of the patients reported any adverse events related to ViV-TMVR during the follow-up period.Notably,there was a significant improvement in NYHA class compared to baseline(P=0.0004)at six-month follow-ups.Conclusions The transseptal ViV-TMVR technique proved to be highly successful and was associated with significant improvement in NYHA class function.These findings strongly suggest that it serves as a safe and efficient treatment alternative for high-risk patients suffering from bioprosthetic valve degeneration.

Objective:To explore the learning patterns of resident physicians in anesthesiology when performing tracheal intubation guided by Shikani laryngoscope, and provide a reference for the skill training of clinical anesthesiologists.Methods:From August 2023 to December 2024, a total of 19 resident physicians specializing in anesthesiology participated in this study at Peking University Third Hospital. All resident physicians received standardized training on clinical skills. None of them had received specialized training in Shikani laryngoscope-guided tracheal intubation. The relevant theoretical teaching and practical guidance were provided by the same senior attending physician throughout the study. A flipped-classroom teaching model was adopted, and each student was instructed by the teaching physician to perform the procedure on 15 cases in chronological order, resulting in a total of 285 cases. The cumulative sum (CUSUM) value for each tracheal intubation was calculated, and the learning curve was plotted using R software. A fourth-order polynomial nonlinear regression model was used to fit the curve and estimate the 95% confidence interval of the learning curve. The first-order derivative function of the regression model was further analyzed to reveal the dynamic changes in proficiency with the number of training sessions. The CUSUM curve was segmented using the maximum statistics test to identify the optimal breakpoint.Results:The maximum selection test revealed that the breakpoint for the increase in CUSUM level was at the eighth attempt.Conclusions:Resident physicians in anesthesiology can master Shikani laryngoscope-guided tracheal intubation after eight standardized training sessions. Moreover, the participants showed high satisfaction with the flipped-classroom teaching model.

Objective:To investigate the clinicopathological and genetic features of infantile rhabdomyofibrosarcoma (IRFS) with EGFR kinase domain duplication (EGFR-KDD).Methods:The clinical, morphological and immunohistochemical features of three IRFS with EGFR-KDD diagnosed from January 2022 to January 2024 at Department of Pathology, Foshan Traditional Chinese Medicine Hospital, Foshan, China were retrospectively analyzed using PCR or next generation sequencing technique; and related literature was reviewed.Results:There were 1 male and 2 females, aged at presentation ranging from 1 to 4 years. The tumor occurred in the left thigh, right maxillofacial region, and right popliteal space. The presenting symptom was a painless mass which was accidentally discovered. The maximum diameter of tumors ranged from 3 to 5 cm. Microscopically, the tumors were poorly defined and composed of relatively monomorphic spindle cells, arranged in diffuse, fascicular growth patterns, with moderate pale eosinophilic cytoplasm. Mitoses were abundant. A few round rhabdomyoblastic tumor cells with abundant eosinophilic cytoplasm were found. There was no evidence of hemorrhage or necrosis. The tumor cells expressed vimentin, SMA, MSA, desmin, MyoD1 and myogenin; and the Ki-67 proliferation index was 10%-60%. RT-PCR showed EGFR-KDD in all three cases. Gene fusion was detected in three cases based on next generation sequencing, but only one case had EGFR-KDD. Follow-up data for 12 to 36 months showed two patients died of the disease and one patient was alive without recurrences and metastasis.Conclusions:IRFS is a rare soft tissue tumor that resembles infantile fibrosarcoma but has immunohistochemical evidence of rhabdomyoblastic differentiation. It more commonly occurs in infants and tends to appear in limbs and torso with poor prognosis. Aggressive multimodality treatment is recommended for these patients. EGFR-KDD may be a genetic driver to IRFS. Clinical response to EGFR targeted therapy might be promising in the future.

The accelerated advancement of medical informatization has increasingly highlighted the limitations of tradi-tional PC terminals in terms of data security,operational efficiency,and resource integration.Cloud desktop technology has e-merged as a viable solution for hospital informatization,offering both cost-effectiveness and operational efficiency while fulfilling domestic substitution requirements.This study implemented a comprehensive cloud desktop management system by utilizing exist-ing hospital IT infrastructure supplemented with newly deployed cloud desktop servers and terminal devices.The system signifi-cantly improved hardware/software resource utilization and management efficiency,delivering stable and high-performance cloud desktop services to meet growing clinical and administrative demands.This study showcased a hospital cloud desktop deployment as a case study,exploring healthcare informatization solutions based on cloud desktop technology.The technical architecture,de-ployment strategy,implementation pathway,and effectiveness evaluation were analyzed to investigate the application of cloud desktop technology in healthcare settings.The results indicate that cloud desktop technology can significantly improve operational efficiency,reduce maintenance costs,and provide foundational support for smart hospital construction.

Objective To investigate the value of multimodal model integrating digital mammography(MG)and MRI radiomics features for preoperative prediction of lymphovascular invasion(LVI)status in breast cancer.Methods The clinical and imaging data from 336 patients with pathologically confirmed invasive breast cancer were retrospectively analyzed and randomly divided into a training group(235 cases)and a test group(101 cases)according to the ratio of 7∶3.Feature dimensionality reduction was carried out by Pearson correlation analysis followed by least absolute shrinkage and selection operator(LASSO)regression.Radiomics models were constructed based on MG craniocaudal(CC),dynamic contrast enhancement(DCE),T2 WI,and integrated MRI sequences;a multimodal model was further developed by incorporating clinical high-risk factors.The predictive efficiency of each model was evaluated by plotting receiver operating characteristic(ROC)curve.Results The ROC curve analysis showed that the multimodal model performed the best predictive efficiency,with area under the curve(AUC)of 0.989 and 0.861,accuracy of 0.949 and 0.782,sensitivity of 0.923 and 0.828,and specificity of 0.962 and 0.764 in the training group and test group respectively.Conclusion The multimodal model,integrating MG and MRI radiomics features,show optimal performance and can be served as a preoperative prediction of LVI status in breast cancer.

Objective To elucidate the mechanisms of trauma-induced coagulopathy(TIC),clarify the specific pathogenic factors and pathophysiological processes,and discover the effective diagnostic indicators and therapeutic targets.Methods Transcriptomic data of traumatic hemorrhagic shock patients were obtained from the Gene Expression Omnibus(GEO)to identify differentially expressed genes(DEGs).Coagulation-related genes(CRGs)from the Kyoto Encyclopedia of Genes and Genomes(KEGG)were intersected with DEGs.Machine learning algorithms,including least absolute shrinkage and selection operator(LASSO)and random forest(RF),were applied to identify key genes.The CIBERSORT algorithm was used to analyze the correlation between key genes and immune cell infiltration.Through consensus clustering,subtype analysis was conducted on trauma patients to compare the infiltration of immune cells.A rat model of traumatic hemorrhagic shock was established to validate coagulation function and the expression of key genes.Results The dataset included samples from 17 healthy controls and 478 patients with traumatic hemorrhagic shock.A total of 6 315 DEGs were identified under the screening criterion of corrected P<0.05.Gene set enrichment analysis(GSEA)showed that the up-regulated DEGs were significantly enriched in the glucose metabolism pathway,while the down-regulated DEGs were enriched in the immune reaction-related pathways.Through cross-analysis of DEGs and CRGs,a total of 65 differentially expressed coagulation-related genes(DE-CRGs)were screened out.GO functional enrichment showed that these genes were mainly located in secreting granular membranes and platelet α-granules,and were involved in physiological processes such as blood coagulation,regulation of body fluid levels,and wound healing.KEGG pathway analysis revealed that these genes were significantly enriched in pathways such as platelet activation,complement and coagulation cascade reactions,Rap1 signaling pathway,and human cytomegalovirus infection.Six key DE-CRGs were identified through machine learning.Receiver operating characteristic(ROC)curve analysis indicated that these genes had good diagnostic efficacy.CIBERSORT analysis revealed a significant correlation between key genes and immune cell infiltration.Patients were classified into two subtypes based on the six key genes:subtype A was rich in CD8+T cells and activated NK cells,presented an immune-active state;subtype B was mainly composed of monocytes and resting NK cells,with insufficient activation of immune pathways.Animal experiments on rats showed that hemorrhagic shock can lead to coagulation dysfunction.The results of qRT-PCR further confirmed that the expression trend of key genes was consistent with the results of bioinformatics analysis.Conclusion In this study,through transcriptomics and machine learning methods,six key genes closely related to TIC were systematically screened out,namely GNA13,PIK3R3,ITGAM,MAPK14,PPP1CC and LYN,and their close connections with coagulation function and immune infiltration were revealed.Animal experiments have further verified the value of these genes as potential diagnostic and therapeutic targets.

Objective To investigate the prognostic role of serum beta 2-microglobulin(β2M)as a systemic inflammatory biomarker in hospitalized patients with exacerbation of COPD,compared with other inflammatory biomarkers.Methods We retrospectively analyzed hospitalized patients with exacerbated COPD as the first diagnosis at Beijing Chao-Yang hospital,P.R.China,from December 31,2012 to December 28,2017.Serum β2M levels,laboratory and clinical indexes were measured or collected on admission,and all patients were followed up for 90 days.The prognostic performance of β2M was compared with the neutrophils-lymphocytes ratio(NLR),C-reactive protein values(CRP)and white blood cell(WBC)using MedCalc.Results For 30-day mortality,β2M,NLR,and CRP showed significant predictive value(all P<0.001)and were better than WBC(P=0.044,0.003 and 0.030,respectively)in hospitalized patients with exacerbated COPD,while WBC had no predictive significance.For 90-day mortality,β2M,NLR,CRP,and WBC were all statistically significant,but only NLR outperformed WBC(P=0.004).No significant differences were observed among β2M,NLR,and CRP.Conclusion As a systemic inflammatory biomarker,serum β2M was a useful prognostic biomarker for short-term death in hospitalized patients with COPD exacerbations.It performed slightly better than NLR and CRP for 30-day mortality prediction and slightly superior to CRP and slightly inferior to NLR for 90-day mortality prediction.

Objective To elucidate the mechanisms of trauma-induced coagulopathy(TIC),clarify the specific pathogenic factors and pathophysiological processes,and discover the effective diagnostic indicators and therapeutic targets.Methods Transcriptomic data of traumatic hemorrhagic shock patients were obtained from the Gene Expression Omnibus(GEO)to identify differentially expressed genes(DEGs).Coagulation-related genes(CRGs)from the Kyoto Encyclopedia of Genes and Genomes(KEGG)were intersected with DEGs.Machine learning algorithms,including least absolute shrinkage and selection operator(LASSO)and random forest(RF),were applied to identify key genes.The CIBERSORT algorithm was used to analyze the correlation between key genes and immune cell infiltration.Through consensus clustering,subtype analysis was conducted on trauma patients to compare the infiltration of immune cells.A rat model of traumatic hemorrhagic shock was established to validate coagulation function and the expression of key genes.Results The dataset included samples from 17 healthy controls and 478 patients with traumatic hemorrhagic shock.A total of 6 315 DEGs were identified under the screening criterion of corrected P<0.05.Gene set enrichment analysis(GSEA)showed that the up-regulated DEGs were significantly enriched in the glucose metabolism pathway,while the down-regulated DEGs were enriched in the immune reaction-related pathways.Through cross-analysis of DEGs and CRGs,a total of 65 differentially expressed coagulation-related genes(DE-CRGs)were screened out.GO functional enrichment showed that these genes were mainly located in secreting granular membranes and platelet α-granules,and were involved in physiological processes such as blood coagulation,regulation of body fluid levels,and wound healing.KEGG pathway analysis revealed that these genes were significantly enriched in pathways such as platelet activation,complement and coagulation cascade reactions,Rap1 signaling pathway,and human cytomegalovirus infection.Six key DE-CRGs were identified through machine learning.Receiver operating characteristic(ROC)curve analysis indicated that these genes had good diagnostic efficacy.CIBERSORT analysis revealed a significant correlation between key genes and immune cell infiltration.Patients were classified into two subtypes based on the six key genes:subtype A was rich in CD8+T cells and activated NK cells,presented an immune-active state;subtype B was mainly composed of monocytes and resting NK cells,with insufficient activation of immune pathways.Animal experiments on rats showed that hemorrhagic shock can lead to coagulation dysfunction.The results of qRT-PCR further confirmed that the expression trend of key genes was consistent with the results of bioinformatics analysis.Conclusion In this study,through transcriptomics and machine learning methods,six key genes closely related to TIC were systematically screened out,namely GNA13,PIK3R3,ITGAM,MAPK14,PPP1CC and LYN,and their close connections with coagulation function and immune infiltration were revealed.Animal experiments have further verified the value of these genes as potential diagnostic and therapeutic targets.

Objective:To investigate the clinicopathological and genetic features of infantile rhabdomyofibrosarcoma (IRFS) with EGFR kinase domain duplication (EGFR-KDD).Methods:The clinical, morphological and immunohistochemical features of three IRFS with EGFR-KDD diagnosed from January 2022 to January 2024 at Department of Pathology, Foshan Traditional Chinese Medicine Hospital, Foshan, China were retrospectively analyzed using PCR or next generation sequencing technique; and related literature was reviewed.Results:There were 1 male and 2 females, aged at presentation ranging from 1 to 4 years. The tumor occurred in the left thigh, right maxillofacial region, and right popliteal space. The presenting symptom was a painless mass which was accidentally discovered. The maximum diameter of tumors ranged from 3 to 5 cm. Microscopically, the tumors were poorly defined and composed of relatively monomorphic spindle cells, arranged in diffuse, fascicular growth patterns, with moderate pale eosinophilic cytoplasm. Mitoses were abundant. A few round rhabdomyoblastic tumor cells with abundant eosinophilic cytoplasm were found. There was no evidence of hemorrhage or necrosis. The tumor cells expressed vimentin, SMA, MSA, desmin, MyoD1 and myogenin; and the Ki-67 proliferation index was 10%-60%. RT-PCR showed EGFR-KDD in all three cases. Gene fusion was detected in three cases based on next generation sequencing, but only one case had EGFR-KDD. Follow-up data for 12 to 36 months showed two patients died of the disease and one patient was alive without recurrences and metastasis.Conclusions:IRFS is a rare soft tissue tumor that resembles infantile fibrosarcoma but has immunohistochemical evidence of rhabdomyoblastic differentiation. It more commonly occurs in infants and tends to appear in limbs and torso with poor prognosis. Aggressive multimodality treatment is recommended for these patients. EGFR-KDD may be a genetic driver to IRFS. Clinical response to EGFR targeted therapy might be promising in the future.