ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

Objective:Based on the background of high-quality development,we analyze the operational efficiency of traditional Chinese medicine(TCM)hospitals in China's Yangtze River Economic Belt in 2021 and explore the impact of external environmental factors on operational efficiency,so as to provide a reference for promoting the high-quality development of TCM hospitals in the Yangtze River Economic Belt.Methods:The three-stage DEA model was used to analyze the operational efficiency of TCM hospitals in 11 provinces and cities in the Yangtze River Economic Zone in China in 2021.Results:After three-stage DEA analysis,the values of comprehensive efficiency,pure technical efficiency and scale efficiency of TCM hospitals in China's Yangtze River Economic Belt are 0.976,0.986 and 0.990,respectively.5 provinces and cities,Shanghai,Jiangsu,Hunan,Chongqing and Guizhou,are efficient before and after the adjustment,and the comprehensive efficiency of Zhejiang,Anhui,Hubei,Jiangxi,Sichuan and Yunnan have increased compared with that before the adjustment.Ranking of the average value of the comprehensive efficiency of TCM hospitals operation in the three major city clusters of the Yangtze River Economic Belt after adjustment:Chengdu-Chongqing city cluster(0.998)>city cluster in the Yangtze River Delta(0.964)>city cluster in the middle reaches of the Yangtze River(0.962).Conclusion:The operational efficiency of TCM hospitals in the Yangtze River Economic Zone has been underestimated,and the comprehensive efficiency is mainly affected by scale efficiency;there are differences in the operational efficiency of TCM hospitals in the three major urban agglomerations,and balanced development is needed between regions;the operational efficiency of TCM hospitals is affected by the external environment,and it is necessary to improve the external environment;it is necessary to strengthen the construction of digital and informatization of TCM,and to pay attention to the role of talents in TCM,so as to promote the high-quality development of TCM hospitals.

Inflammatory response,immunosuppression,and drug sensitivity have been reported to have a significant correlation with the disulfidptosis levels in cancer patients.However,the value of disulfidpto-sis in colorectal cancer therapy remains unclear.Therefore,we classified the CRC cells into different cell types using single-cell sequencing data and cell-specific markers and analyzed their relationship with the cell disulfidptosis level.We found that the high disulfidptosis regions were concentrated in epithelial-like CRC cells.Further exploration using the disulfidptosis and programmed cell death 1 inhibitor therapy treated differential expression genes indicated that CRC patients with high disulfidptosis levels exhibited a lower risk profile and increased sensitivity to immunotherapy.By using the spatial transcriptomic analy-sis,we found that ubiquinol-cytochrome c reductase core protein 1(UQCRC1),a disulfidptosis-related gene,is highly expressed in epithelial-like CRC cells and co-localized with immune-infiltrated tumor re-gions.Additional bioinformatic analyses and experimental validation further confirmed that UQCRC1 was downregulated in CRC tissues.Overexpression of UQCRC1 suppressed CRC cell proliferation and migra-tion.These findings indicate that UQCRC1 is a potential target for CRC diagnosis and treatment.

Inflammatory response,immunosuppression,and drug sensitivity have been reported to have a significant correlation with the disulfidptosis levels in cancer patients.However,the value of disulfidpto-sis in colorectal cancer therapy remains unclear.Therefore,we classified the CRC cells into different cell types using single-cell sequencing data and cell-specific markers and analyzed their relationship with the cell disulfidptosis level.We found that the high disulfidptosis regions were concentrated in epithelial-like CRC cells.Further exploration using the disulfidptosis and programmed cell death 1 inhibitor therapy treated differential expression genes indicated that CRC patients with high disulfidptosis levels exhibited a lower risk profile and increased sensitivity to immunotherapy.By using the spatial transcriptomic analy-sis,we found that ubiquinol-cytochrome c reductase core protein 1(UQCRC1),a disulfidptosis-related gene,is highly expressed in epithelial-like CRC cells and co-localized with immune-infiltrated tumor re-gions.Additional bioinformatic analyses and experimental validation further confirmed that UQCRC1 was downregulated in CRC tissues.Overexpression of UQCRC1 suppressed CRC cell proliferation and migra-tion.These findings indicate that UQCRC1 is a potential target for CRC diagnosis and treatment.

Objective:Based on the background of high-quality development,we analyze the operational efficiency of traditional Chinese medicine(TCM)hospitals in China's Yangtze River Economic Belt in 2021 and explore the impact of external environmental factors on operational efficiency,so as to provide a reference for promoting the high-quality development of TCM hospitals in the Yangtze River Economic Belt.Methods:The three-stage DEA model was used to analyze the operational efficiency of TCM hospitals in 11 provinces and cities in the Yangtze River Economic Zone in China in 2021.Results:After three-stage DEA analysis,the values of comprehensive efficiency,pure technical efficiency and scale efficiency of TCM hospitals in China's Yangtze River Economic Belt are 0.976,0.986 and 0.990,respectively.5 provinces and cities,Shanghai,Jiangsu,Hunan,Chongqing and Guizhou,are efficient before and after the adjustment,and the comprehensive efficiency of Zhejiang,Anhui,Hubei,Jiangxi,Sichuan and Yunnan have increased compared with that before the adjustment.Ranking of the average value of the comprehensive efficiency of TCM hospitals operation in the three major city clusters of the Yangtze River Economic Belt after adjustment:Chengdu-Chongqing city cluster(0.998)>city cluster in the Yangtze River Delta(0.964)>city cluster in the middle reaches of the Yangtze River(0.962).Conclusion:The operational efficiency of TCM hospitals in the Yangtze River Economic Zone has been underestimated,and the comprehensive efficiency is mainly affected by scale efficiency;there are differences in the operational efficiency of TCM hospitals in the three major urban agglomerations,and balanced development is needed between regions;the operational efficiency of TCM hospitals is affected by the external environment,and it is necessary to improve the external environment;it is necessary to strengthen the construction of digital and informatization of TCM,and to pay attention to the role of talents in TCM,so as to promote the high-quality development of TCM hospitals.

Objective:To analyze the preference of family doctors for contracting services for patients with chronic diseases comorbidity,and to provide theoretical reference for promoting the high-quality development of family doctors' contracting services. Methods:Based on discrete choice experiment,768 qualified samples that passed the consistency test were analyzed by mixed logit model and willingness to pay method. Results:Among all the service attributes included in the study,the patients with chronic diseases were more willing to choose the family doctor contracting services with low service fee,providing medical service,Western medicine service (vs. public health service),2-week prescription for chronic disease,professional pharmacist medication guidance,and outpatient treatment. The relative importance of the attribute of service fee is the largest (41.42％),followed by the type of service (26.25％). If the service type changed from TCM to Western medicine,the patients with chronic diseases were willing to spend 120.42 yuan more,and the choice preference increased by 44.80％;There was heterogeneity in the selection preferences of comorbid patients of different genders and ages. Conclusion:In the future,it is necessary to reasonably formulate service fee standards according to regional development differences and patients' choice preferences,and promote the development and standardization of TCM services at the grass-roots level,so as to give full play to the unique advantages of TCM in the"preventive treatment of disease"and chronic disease prevention and treatment. Promote the rationalization of family doctor team construction,strengthen the ability of family doctors to guide medication,and meet the diversified service demands of patients. The selection preference of patients with different characteristics was clarified,focusing on the elderly chronic diseases comorbid patients. Through the government,grass-roots medical and health institutions,family doctors and other parties to jointly participate in promoting the high-quality development of family doctor contracting services.

Nosocomial infection poses a significant threat to patient safety and increase their disease burden. Outbreaks of nosocomial infection are the main harmfulness associated with nosocomial infection, which making them socially sensitive issues. Nosocomial infection surveillance and warning are core contents of nosocomial infection management. Accurate early warning technology for nosocomial infection outbreaks can reflect the management capability of infection prevention and control. This study designed an early warning system based on a multi-dimensional and multi-scale comprehensive information surveillance mode for nosocomial infection outbreaks which was launched in March 2023. This system extracted the process-related indicators of nosocomial infection from various hospital information systems into the nosocomial infection database center. Under the multi-dimensional and multi-scale surveillance mode, the process-related data were stratified according to the predefined dimensions and scales, then generating time-series datasets of numerous subgroups. The system conducted weekly for all time-series datasets of subgroups based on warning rules, and subsequently sent out warning signals to managers. These warning signals could be verified by managers through data check, case verification and epidemiological investigation. Once a nosocomial infection outbreak was confirmed, intervention measures could be implemented promptly. In practical application, the system generated warning signals for nosocomial infection clusters in 12 departments on August 7th, 2023. The traditional nosocomial infection case report system ultimately reported 54 nosocomial infection cases, which distributed across 13 departments, with clusters(more than 3 cases) observed in 6 departments. All these 6 departments received warning signals generated from our system. It has been demonstrated that our system could predicted the nosocomial infection clusters 5.3 days earlier than the traditional nosocomial infection case report system on average, with warning sensitivity of 100.0% and positive predictive value of 50.0%. Early warning under the multi-dimensional and multi-scale comprehensive information surveillance mode was able to transform the work pattern of nosocomial infection outbreaks control and management from passive to active. Particularly it has advantages in early detection for occult outbreaks, providing a valuable support for improving nosocomial infection management capability.

Objective:To analyze the preference of family doctors for contracting services for patients with chronic diseases comorbidity,and to provide theoretical reference for promoting the high-quality development of family doctors' contracting services. Methods:Based on discrete choice experiment,768 qualified samples that passed the consistency test were analyzed by mixed logit model and willingness to pay method. Results:Among all the service attributes included in the study,the patients with chronic diseases were more willing to choose the family doctor contracting services with low service fee,providing medical service,Western medicine service (vs. public health service),2-week prescription for chronic disease,professional pharmacist medication guidance,and outpatient treatment. The relative importance of the attribute of service fee is the largest (41.42％),followed by the type of service (26.25％). If the service type changed from TCM to Western medicine,the patients with chronic diseases were willing to spend 120.42 yuan more,and the choice preference increased by 44.80％;There was heterogeneity in the selection preferences of comorbid patients of different genders and ages. Conclusion:In the future,it is necessary to reasonably formulate service fee standards according to regional development differences and patients' choice preferences,and promote the development and standardization of TCM services at the grass-roots level,so as to give full play to the unique advantages of TCM in the"preventive treatment of disease"and chronic disease prevention and treatment. Promote the rationalization of family doctor team construction,strengthen the ability of family doctors to guide medication,and meet the diversified service demands of patients. The selection preference of patients with different characteristics was clarified,focusing on the elderly chronic diseases comorbid patients. Through the government,grass-roots medical and health institutions,family doctors and other parties to jointly participate in promoting the high-quality development of family doctor contracting services.

Astragali Radix, a medicinal herb for invigorating Qi, has anti-aging, anti-tumor, immunoregulatory, blood sugar-and lipid-lowering, anti-fibrosis, anti-radiation and other pharmacological effects. This article reviewed the studies about the chemical components and pharmacological effects of Astragali Radix. According to the theory of quality markers(Q-markers) of Chinese medicinal materials, we predicted the Q-markers of Astragali Radix from traditional efficacy, chemical component validity, measurability, plant phylogeny, and pharmacokinetis. The results showed that total polysaccharides, flavonoids(e.g., calycosin-7-O-β-D-glucoside, formononetin, calycosin, quercetin, and ononin), and saponins(e.g., astragalosides Ⅱ, Ⅲ, and Ⅳ) can be taken as the main Q-markers. This review lays a foundation for regulating the quality research and standard establishment of Astragali Radix, and benefits the control and quality supervision of the production process of Astragali Radix and its related products.
Astragalus Plant ; Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/pharmacology* ; Flavonoids ; Plant Roots