With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Objective To investigate the relationship between the levels of soluble FMS-like tyrosine ki-nase-1(sFlt-1),monocyte chemoatgulant protein-1(MCP-1),and soluble lectin-like oxidized low-density lipo-protein receptor 1(sLOX-1)in the serum of patients with coronary heart disease and the disease state and prognosis.Methods A total of 126 patients with coronary heart disease treated in Zhongshan Hospital,Dalian University from May 2022 to May 2024 were selected as study objects.The patients were divided into good prognosis group(n=78)and poor prognosis group(n=48)according to prognostic results.The serum sFlt-1,MCP-1 and sLOX-1 levels were detected by enzyme-linked immunosorbent assay.The degree of coronary artery stenosis in patients was measured by coronary angiography,as indicated by the Gensini score.Spearman correlation analysis was used to analyze the correlation between Gensini score and serum sFlt-1,MCP-1 and sLOX-1 levels.Multivariate Logistic regression was used to analyze the factors affecting the prognosis of pa-tients with coronary heart disease.The predictive efficacy of serum sFlt-1,MCP-1 and sLOX-1 levels for the prognosis of patients with coronary heart disease was evaluated by receiver operating characteristic(ROC)curve.Results The age in the poor prognosis group was older than that in the good prognosis group(P＜0.05),Gensini score was higher than that in the good prognosis group(P＜0.05).Compared with the poor prognosis group,the serum sFlt-1,MCP-1 and sLOX-1 levels in the good prognosis group were lower(P＜0.05).Gensini score was positively correlated with the serum sFlt-1,MCP-1 and sLOX-1 levels.Multivariate Logistic regression analysis showed that old age,high Gensini score,high sFlt-1 level,high MCP-1 level and high sLOX-1 level were all risk factors effecting the prognosis of patients with coronary heart disease(P＜0.05).ROC curve analysis showed that the areas under the curve(AUC)of serum sFlt-1,MCP-1,and sLOX-1 for predicting the prognosis of coronary heart disease patients were 0.787(95％CI:0.703-0.870),0.815(95％CI:0.741-0.890)and 0.795(95％CI:0.715-0.876),respectively.The AUC for predicting the prognosis of coronary heart disease patients using a combination of three was 0.923(95％CI:0.876-0.970).Conclusion The serum levels of sFlt-1,MCP-1 and sLOX-1 in patients with coronary heart disease are signifi-cantly increased,and are positively correlated with the degree of coronary artery stenosis.The levels of sFlt-1,MCP-1 and sLOX-1 in serum have a certain predictive effect on the prognosis of patients with coronary heart disease.

Ulcerative colitis(UC)is a chronic autoimmune disease characterized primarily by impaired intestinal mucosal barrier function.Beneficial bacteria in the intestinal flora are crucial for maintaining intestinal function.Therefore,eliminating harmful bacteria,promoting the regeneration of beneficial bacteria,and reconstructing the intestinal mucosal barrier have become key strategies in the treatment of UC.The traditional Chinese medicine(TCM)"Houchang Theory"elucidates the mech-anism of ulcer formation from the perspective of the"Zhimo"(lipid membrane)structure and a-chieves the purpose of treating UC by thickening the"Zhimo"through syndrome differentiation and treatment.This theory is consistent with the modern medical concept of reconstructing the intestinal mucosal barrier.Fecal microbiota transplantation(FMT),as a transformed product of TCM"Jinzhi"(liquid feces),has been proven to have significant efficacy in the treatment of UC.Based on the TCM"Houchang Theory"and from the perspective of the intestinal mucosal barrier,this article explored the mechanism of"Jinzhi"FMT in the treatment of UC and provides new strategies for clinical treatment.

Objective To analyze the clinical characteristics,drug sensitivity,and prognostic risk factors of patients with candidemia at our hospital,for providing evidence for rational drug use and improving prognosis.Methods A total of 181 patients with candidemia who were admitted to our hospital between January 2020 and December 2022 were selected for this study.Basic data,drug susceptibility test results,and clinical information were collected and analyzed.Patients were divided into two groups:a favorable prognosis group and a poor prognosis group;their prognostic risk factors were analyzed using univariate and binary logistic analyses.Results Candidemia was diagnosed from 181 Candida strains,including Candida parapsilosis(88 strains,48.62％),Candida albicans(34 strains,18.78％),Candida tropicalis(29 strains,16.02％),and Candida glabrata(17 strains,9.39％).Patients with candidemia were mainly diagnosed during general surgery(51.93％),intensive care unit(16.02％),and emergency department(9.94％).Univariate and binary logistic analyses showed that use of hormone and(or)immunosuppressive agents(OR=4.787),mechanical ventilation for more than 96 h(OR=4.558),renal insuffi-ciency(OR=4.426),and intrapulmonary infection(OR=4.228)were important independent risk factors.The highest detection rate of can-didemia in our hospital was for Candida parapsilosis.With the exception of Candida tropicalis,which was less sensitive to voriconazole,all other strains were sensitive to azole drugs.In conclusion,hormone and(or)immunosuppressive agents,mechanical ventilation for more than 96 h,renal insufficiency,and intrapulmonary infection are independent risk factors for poor prognosis in patients with candidemia.

Objective To investigate the epidemiological aspects of traditional Chinese medicine(TCM)deficiency,excess syndromes and physical characteristics related to insomnia in China from 2000 to 2023.Methods A search was conducted across CNKI,WANFANG DATA,VIP,and PubMed databases to identify epidemiological studies on the deficiency-excess syndrome differentiation in TCM and TCM body constitution distribution among Chinese patients with insomnia.Descriptive statistical analysis was performed to summarize the syndrome differentiation patterns,geographical distribution,and demographic characteristics of the study populations.Results A total of 44 relevant studies were included,encompassing 22184 insomnia patients from 23 provinces,municipalities,and autonomous regions.Among these studies,75.0%employed cross-sectional research methods,while the remainder utilized retrospective analysis(6.8%),cohort studies(2.3%),and 15.9%did not specify their research methods.The primary focus of the surveys revealed that 52.3%concentrated on the distribution of syndromes,31.8%on the distribution of body constitution,and 38.6%on the distribution of primary symptoms of insomnia.The main survey results indicated that the majority of insomnia patients in China exhibited excess syndrome,accounting for 61.7%,while deficiency syndrome comprised 38.3%.The main findings indicated that the predominant TCM syndrome among insomnia patients in China was Qi deficiency of the heart and spleen,accounting for 54.6%.In the empirical population,Qi stagnation transforming into fire constituted 46.3%.Conclusion Over the past two decades,substantial data has been accumulated in China on the deficiency-excess syndrome differentiation and body constitution distribution in TCM for insomnia,providing a foundational basis for future research in this field.

Objective To construct a self-service traditional Chinese medicine(TCM)syndrome differentiation-based home sleep scenario and establish a home-based TCM sleep aid environment.Methods Based on medical principles and modern sleep-related technologies,this study divided the home sleep scenario into four dimensions:Perception,syndrome differentiation,intervention,and evaluation.It proposed a construction plan for a self-service TCM sleep aid home scenario that integrated these four dimensions.Results The proposed TCM sleep aid scenario solution enables collaborative collection data from various devices in a home setting.This involved the setup of hardware at the perception level,the development of software at the syndrome differentiation level,the integration of hardware at the intervention level,and data cleaning,fusion,and analysis at the evaluation level.These four components are interconnected,allowing for the extraction of physiological data that is valuable for TCM-based population classification and intervention,which can be used to update algorithms and improve accuracy through iterative upgrades.Conclusion The construction of a home sleep scenario based on TCM syndrome differentiation is feasible and can provide a reference for the promotion and application of appropriate TCM techniques in home settings.

Objective To investigate the epidemiological aspects of traditional Chinese medicine(TCM)deficiency,excess syndromes and physical characteristics related to insomnia in China from 2000 to 2023.Methods A search was conducted across CNKI,WANFANG DATA,VIP,and PubMed databases to identify epidemiological studies on the deficiency-excess syndrome differentiation in TCM and TCM body constitution distribution among Chinese patients with insomnia.Descriptive statistical analysis was performed to summarize the syndrome differentiation patterns,geographical distribution,and demographic characteristics of the study populations.Results A total of 44 relevant studies were included,encompassing 22184 insomnia patients from 23 provinces,municipalities,and autonomous regions.Among these studies,75.0%employed cross-sectional research methods,while the remainder utilized retrospective analysis(6.8%),cohort studies(2.3%),and 15.9%did not specify their research methods.The primary focus of the surveys revealed that 52.3%concentrated on the distribution of syndromes,31.8%on the distribution of body constitution,and 38.6%on the distribution of primary symptoms of insomnia.The main survey results indicated that the majority of insomnia patients in China exhibited excess syndrome,accounting for 61.7%,while deficiency syndrome comprised 38.3%.The main findings indicated that the predominant TCM syndrome among insomnia patients in China was Qi deficiency of the heart and spleen,accounting for 54.6%.In the empirical population,Qi stagnation transforming into fire constituted 46.3%.Conclusion Over the past two decades,substantial data has been accumulated in China on the deficiency-excess syndrome differentiation and body constitution distribution in TCM for insomnia,providing a foundational basis for future research in this field.

Objective To construct a self-service traditional Chinese medicine(TCM)syndrome differentiation-based home sleep scenario and establish a home-based TCM sleep aid environment.Methods Based on medical principles and modern sleep-related technologies,this study divided the home sleep scenario into four dimensions:Perception,syndrome differentiation,intervention,and evaluation.It proposed a construction plan for a self-service TCM sleep aid home scenario that integrated these four dimensions.Results The proposed TCM sleep aid scenario solution enables collaborative collection data from various devices in a home setting.This involved the setup of hardware at the perception level,the development of software at the syndrome differentiation level,the integration of hardware at the intervention level,and data cleaning,fusion,and analysis at the evaluation level.These four components are interconnected,allowing for the extraction of physiological data that is valuable for TCM-based population classification and intervention,which can be used to update algorithms and improve accuracy through iterative upgrades.Conclusion The construction of a home sleep scenario based on TCM syndrome differentiation is feasible and can provide a reference for the promotion and application of appropriate TCM techniques in home settings.