This paper summarizes the clinical experience in the syndrome differentiation and treatment of rosacea using the method of venting heat and resolving stagnation. It is considered that the key pathogenesis of rosacea is the accumulation of heat with stagnation. Accordingly， the method of venting heat and resolving stagnation is proposed， which vents and disperses constraint heat by applying approaches such as dredging defensive qi， clearing qi， venting ying （营） level， and cooling blood， while eliminating stagnation and masses through regulating qi， resolving dampness， dispelling phlegm and removing stasis. In clinical practice， a core prescription for venting heat and resolving stagnation is formulated， with flexible modifications made according to the clinical characteristics of different rosacea subtypes， including erythematotelangiectatic， papulopustular， phymatous， and ocular types， thereby providing therapeutic insights for the treatment of rosacea with traditional Chinese medicine.

Irritable bowel syndrome （IBS） is a functional bowel disorder characterized primarily by abdominal pain and altered defecation habits. In recent years， traditional Chinese medicine （TCM） has made progress in multiple aspects of IBS research and treatment， including syndrome distribution， development of TCM formulas， clinical efficacy evaluation， external therapies， and psychosocial regulation. However， it still faces challenges such as over-reliance on symptomatic manifestations rather than biomarkers for diagnostic criteria， and the lack of high-quality evidence-based data supporting the efficacy of TCM formulas in treating IBS. This paper proposed that TCM diagnosis and treatment of IBS should adhere to the strategy of integrating the holistic concept with syndrome differentiation and treatment， combining TCM external therapies such as acupuncture， moxibustion and acupoint application）， and emphasizing individualized diagnosis and treatment for psychosomatic abnormalities. Future research should integrate multi-omics technologies， artificial intelligence and other methods to deepen the understanding of the pathogenesis of IBS and the mechanisms of TCM formulas， so as to promote the standardization and internationalization of TCM in the diagnosis and treatment of IBS.

Objective To investigate the therapeutic effect of Huangkui capsules on targeted drug-related proteinuria in patients with hepatocellular carcinoma (HCC). Methods A retrospective analysis was conducted on clinical data of HCC patients with targeted drug-related proteinuria from June 2023 to December 2024 at Zhongshan Hospital, Fudan University. According to the treatment plan, patients were divided into the conventional treatment group and the Huangkui combination treatment group (Huangkui capsules combined with conventional treatment), and the clinical efficacy between the two groups was compared. The logistic regression analysis was used to identify the main factors affecting treatment efficacy. Results The Huangkui combination treatment group (n＝29) showed a significantly higher overall effective rate (79.3% vs 42.3%, P＝0.005), and an earlier proteinuria improvement (median time: 3 months vs 6 months, P＝0.008) than the conventional treatment group (n＝26) . The multivariate logistic regression analysis showed angiotensin-converting enzyme inhibitor (ACEI) or angiotensin Ⅱ receptor blocker (ARB) using (OR＝0.190, 95%CI 0.045-0.808, P＝0.025), targeted drug adjustment (OR＝0.132, 95%CI 0.030-0.581, P＝0.007), and Huangkui capsules using (OR＝0.168, 95%CI 0.039-0.730, P＝0.017) were protective factors for treatment efficacy of targeted drug-related proteinuria. Conclusions On the basis of conventional treatment, additive treatment with Huangkui capsules can alleviate targeted drug-related proteinuria faster and more effectively in HCC patients.

As an innovative form of combining traditional aromatherapy with modern nasal medicine delivery technology， "olfactory administration of Chinese medicine" carries the theoretical essence of traditional Chinese medicine （TCM）， which is "moving and channeling Qi and fragrance， dredging and awakening the mind". Based on the systematic records of olfactory therapies in ancient books in emergency care， disorders of consciousness， lung system， and gynecological diseases， this paper examines the historical evolution of its clinical application， and elucidates the profound historical basis and theoretical feasibility of "olfactory administration of Chinese medicine" as a new form. Combined with the innovation and precise application of modern Chinese medicine olfactory agents in multi-system diseases such as nervous， respiratory， and cardiovascular diseases， this paper further analyzes the multi-dimensional mechanism of olfactory receptor pathway， olfactory brain pathway， nasal mucosal blood vessels， and lymphatic channels， and demonstrates its advantages of rapid onset， targeted brain entry， and systemic regulation. Under the background of continuous growth in the demand for external TCM treatment， continuous breakthroughs in the technology of nasal dosage forms， and increasingly accurate drug delivery paths， Chinese medicine olfactory agents have shown significant practical applicability and development potential. This study aims to provide theoretical support and practical direction for the system construction of this form.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

In January 2023, a patient with soft tissue degloving defect of right index, middle, ring and little fingers was treated in the Department of Hand Surgery, Suzhou Ruihua Orthopaedic Hospital. Seven free flaps from a leg were harvested to reconstruct the defected wound of fingers in primary surgery. Flap thinning and plastic surgery were performed in stage-II surgery. Over the 22 months of postoperative follow-up, the flaps in right index, middle, ring and little fingers survived well with the colour and texture close to proximal skin. There was no obvious swelling of the flaps and sensation of the flaps recovered to S 3. The donor sites healed well and the donor leg walked normally.

Objective:To quantitatively evaluate the policy texts on mutual recognition of examination and inspection results at the national and local levels in China from 2006 to 2025 based on the PMC index model,and provide reference for policy formulation and improvement.Methods:The ROSTCM6 software was used to sort out and conduct text mining on 27 policy documents issued at the national and local levels,establishing the PMC index model for the mutual recognition of examination and inspection results in China.Quantitative analysis was conducted through a PMC evaluation system consisting of 9 first-level variables and 39 second-level variables.Results:The average PMC index was 6.06(excellent level).Among the 27 policies,4 were rated as perfect,18 as excellent,and 5 as acceptable.Conclusions:Current policies need to strengthen the formulation of scientific and feasible goals,improve legal guarantees and medical insurance coordination mechanisms,and build a complete data security maintenance system to provide policy support and guarantees for the continuous advancement of the mutual recognition of examination and inspection results.

Objective:To investigate the independent clinical factors of live birth rate of the first frozen-thawed embryo transfer (FET) cycle after transcervical resection of adhesion (TCRA).Methods:A retrospective case-control study was conducted to analyze the clinical data of patients with intrauterine adhesion (IUA) who received FET in Reproductive Center of Reproductive and Genetic Hospital of CITIC-XIANGYA from January 2019 to June 2022 ( n=6 154). According to the severity of intrauterine adhesions in patients, they were classified into mild adhesions ( n=172), moderate adhesions ( n=5 723), and severe adhesions ( n=259). Based on the FET outcome, the patients were divided into live birth group and non-live birth group. The risk factors and protective factors of live birth were analyzed by multivariate logistic regression. Results:1) No independent factor of live birth was found in the mild IUA group. 2) In the moderate IUA group, the protective factors of live birth included secondary infertility ( OR=1.39, 95% CI: 1.07-1.80, P=0.015), hysteroscopic polypectomy ( OR=1.38, 95% CI: 1.05-1.83, P=0.023), No. of high-quality embryos transferred (one embryo: OR=1.58, 95% CI: 1.37-1.82, P<0.001; two embryos: OR=2.55, 95% CI: 1.80-3.64, P<0.001), two embryos transferred ( OR=1.77, 95% CI: 1.48-2.12, P<0.001), embryo stage (blastocyst transferred, OR=4.93, 95% CI: 3.68-6.63, P<0.001; blastocyst+cleavage transferred OR=1.90, 95% CI: 1.11-3.21, P=0.021), preimplantation genetic testing embryo ( OR=1.42, 95% CI: 1.19-1.69, P<0.001), endometrial thickness before transplantation ( OR=1.11, 95% CI: 1.07-1.15, P<0.001). Risk factors of live birth included female age ( OR=0.94, 95% CI: 0.92-0.96, P<0.001), infertility due to male factor ( OR=0.83, 95% CI: 0.71-0.96, P=0.011), combined repeated implantation failure ( OR=0.60, 95% CI: 0.42-0.87, P=0.007), combined unicornuate uterus/uterus didelphys ( OR=0.25, 95% CI: 0.06-0.79, P=0.033), American Fertility Society score ( OR=0.94, 95% CI: 0.89-0.98, P=0.010), No. of TCRA ( OR=0.83, 95% CI: 0.77-0.90, P<0.001), gonadotropin-releasing hormone agonists down-regulation combined with artificial cycle ( OR=0.56, 95% CI: 0.45-0.69, P<0.001), artificial cycle ( OR=0.62, 95% CI: 0.51-0.76, P<0.001). 3) In the severe IUA group, the risk factor of live birth was artificial cycle ( OR=0.25, 95% CI: 0.07-0.80, P=0.027). Conclusion:The clinical factors that affect the live birth outcome of the first FET cycle after TCRA have different results in patients with different degrees of adhesion. In patients with moderate adhesions, there are 17 clinical indicators that affect the live birth rate. In patients with severe adhesions, the artificial cycle is an independent factor affecting the live birth rate.

In January 2023, a patient with soft tissue degloving defect of right index, middle, ring and little fingers was treated in the Department of Hand Surgery, Suzhou Ruihua Orthopaedic Hospital. Seven free flaps from a leg were harvested to reconstruct the defected wound of fingers in primary surgery. Flap thinning and plastic surgery were performed in stage-II surgery. Over the 22 months of postoperative follow-up, the flaps in right index, middle, ring and little fingers survived well with the colour and texture close to proximal skin. There was no obvious swelling of the flaps and sensation of the flaps recovered to S 3. The donor sites healed well and the donor leg walked normally.