ObjectiveTo provide a reference for the rational clinical use of cold Chinese medicines by sorting and analyzing their properties， flavors， meridian tropism， primary therapeutic indications， methods of administration， dosages， and precautions as recorded in the 2020 edition of Pharmacopoeia of the People's Republic of China （Chinese Pharmacopoeia）. MethodsCold Chinese medicines for internal and external use included in the 2020 edition of Chinese Pharmacopoeia were entered one by one， and their efficacy， properties， flavors， meridian tropism， methods of administration， dosages， and usage precautions were statistically classified and summarized to guide clinical medication use. ResultsA total of 259 cold Chinese medicines for internal use were included and categorized into 18 efficacy groups， mainly comprising heat-clearing drugs， water-excreting and dampness-draining drugs， and phlegm-resolving， cough- and asthma-relieving drugs. Their predominant flavors were bitter， sweet， and pungent， and they primarily entered the liver， lung， and stomach meridians. The main methods of administration included decocting first， grinding into powder for oral use， or preparing into pills or powders， with most dosages ranging from 9 to 15 g. A total of 83 cold Chinese medicines for external use were included， involving 16 efficacy categories. Their main flavors were bitter， sweet， and pungent， primarily entering the liver， lung， and large intestine meridians. The main external application methods were grinding into powder for topical use or preparing decoctions for fumigation and washing， with most dosages ranging from 9 to 15 g. Whether for internal or external use， cold Chinese medicines should be used with caution or contraindicated in pregnant women. ConclusionThe cold Chinese medicines included in the 2020 edition of the Chinese Pharmacopoeia are mainly suitable for patients with carbuncles， swellings， and coughs. However， in clinical practice， it is necessary to strictly follow the principles of syndrome differentiation and treatment， pay attention to administration methods and dosages， and use cold medicines rationally and effectively to improve clinical efficacy.

Background: and Purpose Bilirubin has potent antioxidant, anti-inflammatory, and neuroprotective effects. Herein, we investigated whether total bilirubin (TBIL) modifies the association between hypertension and cerebral small vessel disease (CSVD). Methods: Data were obtained from the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events study. TBIL and direct bilirubin (DBIL) levels were assayed using fasting venous blood samples. Indirect bilirubin (IBIL) was calculated by subtracting DBIL from TBIL. TBIL was stratified as ≤17 μmol/L and >17 μmol/L based on the biological relevance of Gilbert’s syndrome. Hypertension was defined as blood pressure ≥140/90 mm Hg, self-reported hypertension history, or current use of antihypertensive agents. White matter hyperintensity, lacunes, cerebral microbleeds, and enlarged perivascular spaces were evaluated using magnetic resonance imaging and used to rate CSVD burden according to the criteria proposed by Wardlaw et al. and Rothwell et al. Results: This study included 3,061 participants, with a mean age of 61.2±6.7 years and 46.5% males. After adjusting for confounders, hypertension was associated with increased odds of presence of CSVD (Wardlaw: odds ratio [OR]=1.86, 95% confidence interval [CI] 1.41–2.44, P<0.001; Rothwell: OR=1.84, 95% CI 1.43–2.38, P<0.001) and higher modified total CSVD burden (common OR: 1.85, 95% CI 1.45–2.36, P<0.001) in participants with TBIL ≤17 μmol/L but not in TBIL >17 μmol/L (P for interaction <0.05). Johnson–Neyman analyses showed cut-off concentrations of 22.3–22.4 μmol/L for effect modification by TBIL. IBIL contributed to effect modification, whereas DBIL did not. Conclusions Mildly elevated TBIL may modify the association between hypertension and CSVD.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Utilizing CiteSpace and VOSviewer， a bibliometric analysis was conducted on 1，496 articles from the China National Knowledge Infrastructure， Chinese Science and Technology periodical database， Wanfang data， and the Web of Science database spanning 2006 to 2025， systematically revealing the evolutionary patterns of knowledge regarding doctor‐patient shared decision‐making （SDM） in the field of chronic disease management. The research indicated that the number of publications at home and abroad displayed an overall upward trend， yet their development paths differed significantly. International research has formed a “core-periphery” cooperation network， with research hotspots focusing on the improvement of decision-making quality， optimization of decision-making aids， application in primary care settings， and ethical issues in decision-making. Domestic research， driven by policies， developed rapidly and paid more attention to coverage improvement and cultural adaptation， but notable gaps remained in cross-institutional cooperation and tool localization. Currently， China’s practice still encountered multiple challenges， including restricted patients’ participation willingness due to “family-oriented” cultural values， inadequate localization of decision-making aids， and imperfect decision-making support systems in primary healthcare institutions. On this basis， this paper put forward localized suggestions from three dimensions， including cultural adaptation， technological innovation， and institutional coordination. Through multi-dimensional strategies such as advocating for constructing a family-empowered decision-making model， developing decision-making aids integrated with the dialectical logic of traditional Chinese medicine， and promoting the linkage between SDM implementation and the reform of medical insurance payment methods， it was expected to connect international experience with China’s practice. This aimed to provide references for building a chronic disease decision-making model with Chinese characteristics and contribute to the “patient-centered” medical transformation.

BACKGROUND:Gait dysfunction is one of the significant reasons for patient dissatisfaction following total knee arthroplasty.Clinical studies have identified a relationship between the preoperative strength of the quadriceps and hamstring muscles and postoperative gait dysfunction,but the exact nature of this correlation is not yet fully understood.OBJECTIVE:To investigate the correlation between the preoperative strength of the quadriceps and hamstring muscles and postoperative gait dysfunction in total knee arthroplasty.METHODS:A retrospective analysis was conducted on longitudinal data from 70 patients who underwent unilateral primary total knee arthroplasty.Preoperative measurements included peak torque of the extensor and flexor muscles,peak torque/body weight,and total work.Six months postoperatively,the Timed Up and Go Test and gait speed were measured.Ridge regression analysis was used to identify factors influencing postoperative gait function.RESULTS AND CONCLUSION:(1)Preoperative peak torque,peak torque/body weight,and total work of the extensor muscles,as well as the peak torque and total work of the flexor muscles,showed a very strong positive correlation with postoperative gait speed(P＜0.001).The preoperative flexor muscle peak torque/body weight had a strong positive correlation with postoperative gait speed(P＜0.001).Preoperative extensor and flexor muscle peak torques,peak torque/body weight,and total work showed a very strong negative correlation with results from postoperative Timed Up and Go Test(P＜0.001).(2)Ridge regression analysis indicated a 94.2％likelihood that preoperative extensor muscle peak torque,peak torque/body weight,and total work,along with flexor muscle peak torque and total work,had a positive impact on gait speed after total knee arthroplasty(P＜0.001).The preoperative flexor muscle peak torque/body weight had a negative impact on postoperative gait speed(P＜0.001).There was an 87.7％likelihood that preoperative extensor and flexor muscle peak torques,peak torque/body weight,and total work,along with flexor muscle peak torque and total work,had a negative impact on postoperative Timed Up and Go Test(P＜0.05),while the flexor muscle peak torque/body weight had no impact on the Timed Up and Go Test(P＞0.05).(3)It is indicated that the strength of the quadriceps and hamstring muscles prior to total knee arthroplasty correlates with postoperative gait speed and Timed Up and Go Test,and can predict the outcomes of postoperative gait function.Enhancing preoperative knee muscle exercises may be a way to reduce the incidence of gait dysfunction following total knee arthroplasty.

Cerebral small vessel disease represents a group of common vascular disorders involving pathological changes in arterioles,capillaries and venules,with microvascular investigation remaining a key challenge in stroke.With high signal-to-noise ratio and high contrast enabled by enhanced field strength,7T MRI can surpass the resolution limits of 3T MRI,revealing structural and functional abnormalities in cerebral small vessels below 400 μm,as well as detecting subtle lesions in brain tissue.This paper reviews the research progress of multimodal high-resolution imaging techniques based on 7T MRI,such as time-of-flight angiography,phase contrast imaging and susceptibility imaging,in the study of cerebral small vessel disease.Utilizing these technologies,7T MRI can clearly display the structure of cerebral small vessels,such as the lenticulostriate arteries and deep medullary veins,and measure functional parameters like flow velocity and susceptibility.Additionally,it can sensitively detect cerebral microbleeds and cortical cerebral microinfarct.These imaging data provide valuable information for detecting early features of cerebral small vessel disease and assessing its progression,offering new insights into its pathogenesis.Combined with artificial intelligence-based image analysis methods,7T MRI holds great promise for early diagnosis and progression evaluation in cerebral small vessel disease.

Objective:To investigate the management of cancer pain and the clinical practices of hospice care across 11 cities in Zhejiang Province.Methods:From May 22 to 29, 2023, the Zhejiang Provincial Health Commission conducted a survey to assess the current status of hospice care practitioners regarding cancer pain management, the practices employed by medical staff in managing cancer pain, and the understanding of medical personnel concerning self-controlled analgesia for cancer pain treatment in Zhejiang Province.Results:A total of 505 questionnaires were collected from 198 hospitals across 11 cities in the province.Among the medical staff in secondary and tertiary medical institutions, 85.71%(198 out of 231)participated in the management of cancer pain in patients.Oral analgesics emerged as the most commonly used treatment for pain outbreaks, accounting for 38.53%(89 out of 231)of cases.Additionally, 37.66%(87 out of 231)of medical personnel were involved in the development of self-controlled analgesia devices within their institutions.Conclusions:In the management of cancer pain within hospice care, it is essential to enhance the theoretical training of medical staff, ensure the availability of basic analgesic medications, and establish standardized management protocols for the entire process as promptly as possible.

Objective:To develop a training content framework for hospice volunteers based on the competency model.Methods:This was a qualitative study. A draft of the training content framwork for hospice volunteers was first formed according to results of literature review and qualitative interviews based on the competency model. From December 2023 to March 2024, two rounds of Delphi consultation with 16 experts were conducted to develop the final version of the system, and the weights of each indicator were determined with analytic hierarchy process.Results:Among the 14 consulting experts who completed two rounds of consultation, including 10 females, all held intermediate or above professional titles, and their working years ranged from 10 to 34 years, covering fields of hospice care, nursing management, clinical nursing and nursing education. In two rounds of consultation the expert positive coefficient was 14/16 and 14/14, the expert authority coefficient was 0.882 and 0.893, and the Kendall coordination coefficient of all indicators was 0.109 and 0.161 ( P<0.01), the coefficient of variation was 0-0.31 and 0-0.19, respectively. The final version of the system consisted of 3 first-level indicators, 7 second-level indicators, 20 third-level indicators, and 55 specific training contents. The three first-level indicators were knowledge, skill, role and value, and the weight coefficients were 0.335, 0.313 and 0.352, respectively. Each judgment matrix was consistent. Conclusions:A training content system for hospice care volunteers has been developed in this study, which may be used for medical institutions and organizations to train hospice care volunteers.

Cerebral small vessel disease represents a group of common vascular disorders involving pathological changes in arterioles,capillaries and venules,with microvascular investigation remaining a key challenge in stroke.With high signal-to-noise ratio and high contrast enabled by enhanced field strength,7T MRI can surpass the resolution limits of 3T MRI,revealing structural and functional abnormalities in cerebral small vessels below 400 μm,as well as detecting subtle lesions in brain tissue.This paper reviews the research progress of multimodal high-resolution imaging techniques based on 7T MRI,such as time-of-flight angiography,phase contrast imaging and susceptibility imaging,in the study of cerebral small vessel disease.Utilizing these technologies,7T MRI can clearly display the structure of cerebral small vessels,such as the lenticulostriate arteries and deep medullary veins,and measure functional parameters like flow velocity and susceptibility.Additionally,it can sensitively detect cerebral microbleeds and cortical cerebral microinfarct.These imaging data provide valuable information for detecting early features of cerebral small vessel disease and assessing its progression,offering new insights into its pathogenesis.Combined with artificial intelligence-based image analysis methods,7T MRI holds great promise for early diagnosis and progression evaluation in cerebral small vessel disease.