In recent years, with the continuous development and increasing maturity of interventional techniques, interventional treatment for congenital heart disease (CHD) has been progressively disseminated to county- and city-level hospitals in China. Concurrently, the standardized management of adult CHD (particularly patent foramen ovale) and the lifelong management of complex CHD are gaining increasing clinical attention, while the emergence of new techniques and products continuously advances the discipline. This article aims to review the new progress made in the field of interventional treatment for congenital heart disease in China during 2024. It specifically reviews and analyzes the following key aspects: (1) annual statistics on interventional closure procedures for CHD; (2) recent insights into patent foramen ovale closure; (3) advances in transcatheter pulmonary valve replacement; (4) interventional treatment and lifelong management strategies for complex CHD; (5) new interventional techniques for acquired heart disease; and (6) the application of artificial intelligence in CHD management. Through the synthesis and discussion of these topics, this article seeks to provide a detailed analysis of the current landscape of interventional treatment for CHD in China and project its future development trends.

BACKGROUND: The FAVOR (Comparison of Quantitative Flow Ratio Guided and Angiography Guided Percutaneous Intervention in Patients with Coronary Artery Disease) III China trial demonstrated that percutaneous coronary intervention (PCI) lesion selection using quantitative flow ratio (QFR) measurement, a novel angiography-based approach for estimating fractional flow reserve, improved two-year clinical outcomes compared with standard angiography guidance. This study aimed to assess the cost-effectiveness of QFR-guided PCI from the perspective of the current Chinese healthcare system. METHODS: This study is a pre-specified analysis of the FAVOR III China trial, which included 3825 patients randomized between December 25, 2018, and January 19, 2020, from 26 centers in China. Patients with stable or unstable angina pectoris or those ≥72 hours post-myocardial infarction who had at least one lesion with a diameter stenosis between 50% and 90% in a coronary artery with a ≥2.5 mm reference vessel diameter by visual assessment were randomized to a QFR-guided strategy or an angiography-guided strategy with 1:1 ratio. During the two-year follow-up, data were collected on clinical outcomes, quality-adjusted life-years (QALYs), estimated costs of index procedure hospitalization, outpatient cardiovascular medication use, and rehospitalization due to major adverse cardiac and cerebrovascular events (MACCE). The primary analysis calculated the incremental cost-effectiveness ratio (ICER) as the cost per MACCE avoided. An ICER of ¥10,000/MACCE event avoided was considered economically attractive in China. RESULTS: At two years, the QFR-guided group demonstrated a reduced rate of MACCE compared to the angiography-guided group (10.8% vs . 14.7%, P <0.01). Total two-year costs were similar between the groups (¥50,803 ± 21,121 vs . ¥50,685 ± 23,495, P = 0.87). The ICER for the QFR-guided strategy was ¥3055 per MACCE avoided, and the probability of QFR being economically attractive was 64% at a willingness-to-pay threshold of ¥10,000/MACCE avoided. Sensitivity analysis showed that QFR-guided PCI would become cost-saving if the cost of QFR were below ¥3682 (current cost: ¥3800). Cost-utility analysis yielded an ICER of ¥56,163 per QALY gained, with a 53% probability of being cost-effective at a willingness-to-pay threshold of ¥85,000 per QALY gained. CONCLUSION: In patients undergoing PCI, a QFR-guided strategy appears economically attractive compared to angiographic guidance from the perspective of the Chinese healthcare system. TRIAL REGISTRATION ClinicalTrials.gov , NCT03656848.
Humans ; Cost-Benefit Analysis ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Angiography/methods* ; Middle Aged ; Aged ; Coronary Artery Disease/surgery* ; Quality-Adjusted Life Years ; Fractional Flow Reserve, Myocardial/physiology*

The risk prediction of paroxysmal atrial fibrillation (PAF) is a challenge in the field of biomedical engineering. This study integrated the advantages of machine learning feature engineering and end-to-end modeling of deep learning to propose a PAF risk prediction method based on multimodal feature fusion. Additionally, the study utilized four different feature selection methods and Pearson correlation analysis to determine the optimal multimodal feature set, and employed random forest for PAF risk assessment. The proposed method achieved accuracy of (92.3 ± 2.1)% and F1 score of (91.6 ± 2.9)% in a public dataset. In a clinical dataset, it achieved accuracy of (91.4 ± 2.0)% and F1 score of (90.8 ± 2.4)%. The method demonstrates generalization across multi-center datasets and holds promising clinical application prospects.
Humans ; Atrial Fibrillation/diagnosis* ; Machine Learning ; Deep Learning ; Risk Assessment/methods*

Objective To construct an"Internet+TCM nursing service"talent cultivation model in Zhejiang Province and to evaluate its application effect.Methods Based on the literature review and expert panels,the"Internet+TCM nursing service"talent cultivation model was constructed in Zhejiang Province.A total of 63 trainees from 63 TCM and integrated traditional Chinese and Western medicine hospitals in the province were selected to carry out for 45 days of theoretical training and 9 days of clinical skills training.After the training,the training effect was evaluated by theoretical knowledge,TCM nursing skills,scenario simulation case assessment,trainees'satisfaction,as well as a survey on the results of practice.Results The constructed talent cultivation model contains course contents including theoretical learning,skill training and emergency home treatment management and corresponding assessment programs.Sixty-three trainees successfully completed the course with the theoretical score of(92.24±3.64),the skill score of(97.13±2.53),and the situational case score of(95.78±3.02).Fifty-five trainees(87.30％)were assessed as"excellent"and 8(12.70％)as"good".The trainees'satisfaction about the overall module design of the project was(4.93±0.23)and 415 cases of"Internet+TCM nursing service"were carried out.Conclusion The"Internet+TCM nursing service"talent cultivation model in Zhejiang Province has strong applicability and remarkable training effect,which can provide references for the implementation of"Internet+TCM nursing service"in other regions.

Objective:Melanoma is highly malignant and heterogeneous.It is essential to develop a specific prognostic model for improving the patients'survival and treatment strategies.Recent studies have shown that ferroptosis results from the overproduction of lipid peroxidation and is an iron-dependent form of programmed cell death.Despite this,ferroptosis-related genes(FRGs)and their clinical significances remain unknown in malignant melanoma.This study aims to assess the role of FRGs in melanoma,with the goal of developing a novel prognostic model that provides new insights into personalized treatment and improvement of therapeutic outcomes for melanoma. Methods:We systematically characterized the genetic alterations and mRNA expression of 73 FRGs in The Cancer Genome Atlas(TCGA)-skin cutaneous melanoma(SKCM)dataset in this study.The results were validated with real-time RT-PCR and Western blotting.Subsequently,a multi-gene feature model was constructed using the TCGA-SKCM cohort.Melanoma patients were classified into a high-risk group and a low-risk group based on the feature model.As a final step,correlations between ferroptosis-related signatures and immune features,immunotherapy efficacy,or drug response were analyzed. Results:By analyzing melanoma samples from TCGA-SKCM dataset,FRGs exhibited a high frequency of genetic mutations and copy number variations(CNVs),significantly impacting gene expression.Additionally,compared with normal skin tissue,30 genes with significantly differential expression were identified in melanoma tissues.A prognostic model related to FRGs,constructed using the LASSO Cox regression method,identified 13 FRGs associated with overall survival prognosis in patients and was validated with external datasets.Finally,functional enrichment and immune response analysis further indicated significant differences in immune cell infiltration,mutation burden,and hypoxia status between the high-risk group and the low-risk group,and the model was effective in predicting responses to immunotherapy and drug sensitivity. Conclusion:This study develops a strong ferroptosis-related prognostic signature model which could put forward new insights into target therapy and immunotherapy for patients with melanoma.

Objective:To build a training and promotion model for traditional Chinese medicine nursing tourism project in Zhejiang Province, promoting homogeneous management and standardized promotion of traditional Chinese medicine nursing tourism project.Methods:From July 2022 to June 2023, purposive sampling was used to select 20 experts from ClassⅢ traditional Chinese medicine hospitals in Zhejiang Province for Delphi expert consultation. Two rounds of consultation were conducted via email to construct a training and promotion model for traditional Chinese medicine nursing tourism project in Zhejiang Province.Results:In the two rounds of expert consultation, the effective response rate of the questionnaire was 100% (20/20), the familiarity coefficient of the experts was 0.89, the judgment coefficient was 0.94, and the authority coefficient of the experts was 0.92. The Kendall harmony coefficients for two rounds of consultation were 0.268 and 0.105, respectively, with statistically significant differences ( P<0.001). The training and promotion model for traditional Chinese medicine nursing tourism project in Zhejiang Province included six first-level indicators, 22 second-level indicators, 74 third-level indicators, and 28 fourth-level indicators. Conclusions:The construction process of the training and promotion model for traditional Chinese medicine nursing tourism project in Zhejiang Province is rigorous and standardized, providing reference for training and helping to promote innovation and sustainable development of traditional Chinese medicine nursing.

Objective To establish an artificial intelligence(AI)diagnostic model for the histopathologic diagnosis of extramammary Paget's disease(EMPD)and to evaluate its efficiency for the diagnosis and differential diagnosis of EMPD.Methods All non-tumor skin disease patients who underwent skin tissue biopsy in Department of Dermatology of First Affiliated Hospital of Army Medical University from September 2003 to February 2023 were recruited,and their pathological data were collected,including EMPD,Bowen's disease(BD),squamous cell carcinoma(SCC),and epidermal hyperplasia and hypertrophy.With EMPD as the main research subject,the histopathological images of BD,SCC,and non-tumor skin diseases were included in the study.The histopathological data of 4 types of diseases was classified and diagnosed by ResNet101 and DenseNet121 deep learning neural networks,and the performance of these models was evaluated.Results The AUC values of the ResNet101 diagnostic model for the diagnosis of EMPD,BD,SCC and non-tumor skin diseases on the images at x20 magnification were 0.97,0.98,1.00 and 0.96,respectively,with an accuracy of 0.925±0.011,while the AUC values on the images at x40 magnification were 1.00,0.99,1.00 and 0.97,respectively,with an accuracy of 0.943±0.017.The AUC values of the DenseNet121 diagnostic model for the diagnosis of 4 diseases on the images at x20 magnification were 0.98,0.95,0.99 and 1.00,respectively,with an accuracy of 0.912±0.034,while the AUC values on the images at x40 magnification were 0.99,0.96,1.00 and 1.00,respectively,with an accuracy of 0.971±0.012.Our results indicated that the histopathologic diagnostic model could effectively differentiate EMPD from BD,SCC and non-tumor skin diseases at low power magnification.The FLPOs of ResNet101 was 786.6 M,and the parameter was 4.5 M;The FLPOs of DensNet121 was 289.7 M,and the parameter was 0.8M.Conclusion Our AI diagnostic model is of good effectiveness in the diagnosis and differential diagnosis of EMPD.DenseNet121 is recommended as the dermatopathological diagnostic model of this study.

Children and adults differ significantly in physiology,biochemistry and immune function,which leads to sig-nificant differences in blood transfusion strategies between children and adults.To guide the clinical transfusion practice of pediatric patients and improve the prognosis of children,the National Health Commission organized the formulation and re-lease of the health industry standard Guideline for Pediatric Transfusion(WS/T 795-2022).This paper will briefly introduce some concepts that help understand of the Standard and the preparation process of the Standard,and explain and interpret the preparation of the"scope","general provisions"and"factors to consider"of the Standard,hoping to contribute to the understanding and implementation of the Standard.

Background::To perform anatomical anterior cruciate ligament reconstruction (ACLR), tunnels should be placed relatively higher in the femoral anterior cruciate ligament (ACL) footprint based on the findings of direct and indirect femoral insertion. But the clinical results of higher femoral tunnels (HFT) in double-bundle ACLR (DB-ACLR) remain unclear. The purpose was to investigate the clinical results of HFT and lower femoral tunnels (LFT) in DB-ACLR.Methods::From September 2014 to February 2016, 83 patients who underwent DB-ACLR and met the inclusion and exclusion criteria were divided into HFT-ACLR (group 1, n = 37) and LFT-ACLR (group 2, n = 46) according to the position of femoral tunnels. Preoperatively and at the final follow-up, clinical scores were evaluated with International Knee Documentation Committee (IKDC), Tegner activity, and Lysholm score. The stability of the knee was evaluated with KT-2000, Lachman test, and pivot-shift test. Cartilage degeneration grades of the International Cartilage Repair Society (ICRS) were evaluated on magnetic resonance imaging (MRI). Graft tension, continuity, and synovialization were evaluated by second-look arthroscopy. Return-to-sports was assessed at the final follow-up. Results::Significantly better improvement were found for KT-2000, Lachman test, and pivot-shift test postoperatively in group 1 ( P >0.05). Posterolateral bundles (PL) showed significantly better results in second-look arthroscopy regarding graft tension, continuity, and synovialization ( P <0.05), but not in anteromedial bundles in group 1. At the final follow-up, cartilage worsening was observed in groups 1 and 2, but it did not reach a stastistically significant difference ( P >0.05). No statistically significant differences were found in IKDC subjective score, Tegner activity, and Lysholm score between the two groups. Higher return-to-sports rate was found in group 1 with 86.8% (32/37) vs. 65.2% (30/46) in group 2 ( P = 0.027). Conclusion::The HFT-ACLR group showed better stability results, better PL, and higher return-to-sports rate compared to the LFT-ACLR group.

Objective To investigate the effect and mechanism of Panax notoginseng saponins(PNS)in inhibiting c-Jun N-terminal protein kinase(JNK)/c-Jun signaling pathway activation to alleviate calcific aortic valve disease(CAVD)in mice.Methods Twenty-one male ApoE-/-mice aged 6 to 8 weeks were randomly divided into the model,PNS high-dose(60 mg/kg),and PNS low-dose(30 mg/kg)groups using the random number table method,with seven mice per group.Nine male C57BL/6 mice aged 6 to 8 weeks were used as the control group.Mice in the control group were fed a normal diet,whereas ApoE-/-mice were fed a high-fat diet for 12 weeks.After 12 weeks,three C57BL/6 and three ApoE-/-mice(one ApoE-/-mice from each group)were randomly selected to evaluate the CAVD modeling effect.After confirming successful modeling,the PNS high-and low-dose groups received daily intragastric PNS administration.The control and model groups were administered an equal volume of stroke-physiological saline solution by gavage for 4 consecutive weeks.The valve annulus diameter and peak velocity of the mice in each group were then detected using ultrasound.The degree of aortic valve calcification was evaluated using von Kossa and Alizarin Red S staining.The serum triglycerides(TG),total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C),and high-density lipoprotein cholesterol(HDL-C)were detected by biochemical method.Inflammatory factor interleukin-4(IL-4),tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β),and interleukin-10(IL-10)levels were determined using an enzyme-linked immunosorbent assay.The expressions of calcification markers,runt-related transcription factor 2(RUNX2),and bone morphogenetic protein 2(BMP2)were detected using immunohistochemistry.Aortic valve cell apoptosis was evaluated using TUNEL staining,and JNK/c-Jun signaling pathway-related mRNA and mean fluorescence intensity were detected using quantitative real-time PCR and immunofluorescence,respectively.Results Compared with the control group,the mice in the model group showed an increase in serum TC,TG,LDL-C,TNF-α,and IL-1β levels,a decrease in IL-4 and IL-10 levels,a decrease in annulus diameter,an increase in peak flow velocity,and an increase in von Kossa and Alizarin Red S staining-positive areas.Additionally,the model group showed an increase in aortic valve cell apoptosis rate,an increase in BMP2 and RUNX2-positive rates,and an increase in JNK and c-Jun mRNA expression levels and p-JNK/JNK and p-c-Jun/c-Jun(P<0.05).Compared to the model group,the PNS low-dose group showed a decrease in serum TC,LDL-C,and TNF-α levels,an increase in annulus diameter,a decrease in peak flow velocity,and a decrease in positive area in Alizarin Red S staining.Furthermore,the PNS low-dose group showed a decrease in BMP2 and RUNX2-positive rates,JNK and c-Jun mRNA expression levels,and p-JNK/JNK and p-c-Jun/c-Jun(P<0.05).The PNS high-dose group showed an increase in HDL-C,IL-4 and IL-10 levels,a decrease in serum TC,LDL-C,TNF-α,and IL-1β levels,an increase in annulus diameter,a decrease in peak flow velocity,and a decrease in von Kossa and Alizarin Red S staining-positive areas and cell apoptosis rate.The PNS high-dose group also showed a decrease in BMP2 and RUNX2 positive staining rates,JNK and c-Jun mRNA expression levels,and p-JNK/JNK and p-c-Jun/c-Jun(P<0.05).Conclusion PNS may reduce valvular cell apoptosis,alleviate inflammation,and protect against aortic valve calcification in mice by inhibiting the activation of JNK/c-Jun signaling pathway.