Objective To systematically evaluate the therapeutic effects of different surgical procedures for ischemic mitral regurgitation (IMR). Methods Computer searches were conducted in CNKI, Wanfang, VIP, CBM, PubMed, Cochrane Library, Embase, and Web of Science, with the search time limit from the inception of the databases to February 2024. Two researchers independently screened the literature, extracted data, used the Cochrane bias risk assessment tool to evaluate the quality of the included studies, and used Stata 17.0 software to analyze the data. Results A total of 19 randomized controlled trials involving 6139 patients were finally included, involving six surgical procedures, and the overall quality of the included studies was relatively high. The results of the network meta-analysis showed that the 30-day all-cause mortality rate of mitral valve repair (MVr) was significantly lower than that of coronary artery bypass grafting (CABG) [OR=0.24, 95%CI (0.07, 0.87), P<0.01], mitral valve replacement (MVR) [OR=0.43, 95%CI (0.23, 0.79), P=0.02], CABG+MVR [OR=0.21, 95%CI (0.04, 0.95), P=0.03] and transcatheter mitral valve edge-to-edge repair (TEER) using MitraClip [OR=0.13, 95%CI (0.02, 0.87), P<0.01]. The 30-day all-cause mortality rate of CABG+MVr was significantly lower than that of CABG [OR=0.56, 95%CI (0.33, 0.93), P=0.02] and CABG+MVR [OR=0.48, 95%CI (0.24, 0.94), P=0.04], and the best probability ranking results showed that MVR might be the most effective in reducing the 30-day all-cause mortality rate. The incidence of renal complications in CABG+MVr was significantly lower than that in CABG+MVR [OR=0.42, 95%CI (0.21, 0.83), P=0.01]; the best probability ranking results showed that CABG+MVr might be the most effective in reducing renal complications. Conclusion The current limited evidence suggests that CABG+MVr and MVr may be the best surgical intervention methods for IMR patients at present. Due to the limitations of the number and quality of included studies, the above conclusions still need to be verified by more high-quality studies.

Radar-based non-contact health monitoring technology (RBNHMT) has emerged as a transformative paradigm in continuous health sensing, enabling non-invasive and continuous monitoring of physiological parameters and behavioral patterns by transmitting electromagnetic waves, analyzing the reflected signals, and detecting subtle bodily movements—ranging from millimeter-scale chest wall displacements due to respiration to micro-scale vibrations associated with cardiac activity—ultimately transforming them into quantifiable health data. Distinguished by its non-contact operation, inherent privacy preservation, and adaptability to diverse scenarios, RBNHMT exhibits stronger resistance to environmental interference than conventional contact-based monitoring, and has solidified its position as a prominent and dynamic research focus in the field of non-contact health monitoring. Currently, significant and multifaceted progress has been made across several key areas. In human activity recognition (HAR), systems leveraging micro-Doppler signatures or point cloud sequences achieve high-precision detection of gait, gestures, and fall events, with state-of-the-art deep learning-based models achieving accuracy rates exceeding 99% in controlled experimental settings. For vital sign and sleep monitoring, it not only tracks respiratory and heart rates continuously but also extracts clinically relevant metrics such as heart rate variability (HRV) for autonomic nervous system assessment and estimates blood pressure through indirect methods like pulse transit time analysis, while maintaining robustness in dynamic settings through advanced motion compensation algorithms. In sleep monitoring, it further enables sleep posture classification and apnea event detection. In emotion and stress recognition, it provides a non-intrusive approach for psychological assessment by analyzing autonomic-response physiological signal patterns or behavioral features. Furthermore, its applications in auxiliary medical diagnosis have expanded to promising interdisciplinary areas such as non-contact heart sound auscultation, radar-based screening for obstructive sleep apnea (OSA), and emerging research into breast cancer detection using microwave and millimeter-wave imaging techniques. However, several challenges impede its practical deployment. Signal quality is significantly compromised by multipath interference in complex indoor environments and clutter from static objects, and by motion artifacts in dynamic scenarios where gross body movements obscure the subtle physiological signals. Algorithmically, separating signals from multiple targets in close proximity and calibrating for substantial individual physiological differences, such as body habitus, baseline vital signs, remain difficult and limit generalizability. Hardware design also faces the challenge of balancing power consumption, cost, integration, and performance, often requiring trade-offs that constrain miniaturization, battery life, or measurement sensitivity. Future advancement, therefore, requires collaborative and targeted innovation across multiple dimensions. Algorithmically, developing adaptive signal processing models based on emerging paradigms such as few-shot learning (for user-specific calibration with minimal data) and reinforcement learning (for dynamic noise suppression) is essential. At the hardware level, highly integrated radar SoCs with embedded processing capabilities and advanced packaging technologies are crucial for achieving the dual goals of device miniaturization and cost reduction without sacrificing performance. At the system level, fusing radar data with complementary modalities such as infrared and acoustic sensing can create a synergistic, multi-modal framework that significantly enhances perceptual robustness and reliability in complex, real-world environments. This review provides a comprehensive synthesis that systematically summarizes the relevant theoretical foundations and application progress, and offers an in-depth analysis of the current technical bottlenecks. It aims to provide a clear development path and a foundational academic reference for the in-depth integration and practical application of RBNHMT in critical scenarios including rehabilitation engineering, smart elderly care, in-vehicle health monitoring, and beyond, thereby offering innovative technical support for the vision of universal, proactive, and personalized health management.

Objective To investigate the effect of Pirfenidone(PFN)on respiratory syncytial virus(RSV)infection-induced damage to bronchial epithelial cells by regulating the high mobility group protein B1(HMGB1)/receptor for advanced glycation end products(RAGE)signaling pathway.Methods Human bronchial epithelial cells(HBE)were divided into Control group(cultured for 24 h under normal conditions),RSV group(inoculated with 4.65×106/mL RSV at 33℃for 2 h);low PFN(L-PFN)group(treated with 0.05 mg/mL PFN for 24 h),moderate PFN(M-PFN)group(treated with 0.10 mg/mL PFN for 24 h),high PFN(H-PFN)group(treated with 0.20 mg/mL PFN for 24 h)and recombinant HMGB1(rHMGB1)group(treated with 1 μg/mL rHMGB1+0.20 mg/mL PFN for 24 h).EdU method was applied to detect the proliferation rate of cells in each group,Hochest33258 staining method was applied to detect apoptosis status of cells in each group,and the migration of cells in each group was evaluated by the scratch experiment.Enzyme linked immunosorbent assay(ELISA)was applied to measure the levels of interferon(IFN)-α,IFN-γ,tumor necrosis factor-α(TNF-α),interleukin(IL)-1α,IL-6 and IL-4 in each group of cells,and Western blot was applied to detect the protein expression of HMGB1,RAGE,B lymphoblastoma-2-associated X protein(Bax),cysteine aspartic protease-3(Caspase-3),and B lymphoblastoma-2(Bcl-2).Results Compared with the RSV group,the cell proliferation rate,scratch closure rate,IL-4 levels,and expression of Bcl-2 in L-,M-,and H-PFN groups increased,while the apoptosis rate,the levels of IFN-α,IFN-γ,TNF-α,IL-1α,IL-6,and the expression of HMGB1,RAGE,Bax,and Caspase-3 reduced(P<0.05);rHMGB1 weakened the effect of H-PFN on the above-mentioned indicators(P<0.05).Conclusion PFN may suppress the apoptosis and inflammatory damage of RSV-infected bronchial epithelial cells by inhibiting the HMGB1/RAGE pathway.Conclusion PFN may suppress the apoptosis and inflammatory damage of RSV-infected bronchial epithelial cells by inhibiting the HMGB1/RAGE pathway.

Aim To explore the exact branched-chain amino acid(BCAA)that exacerbates acute myocardial infarction(MI)injury and mechanisms of such action.Methods At the cellular level,myocardial injury model was stimulated in H9c2 cells subjected to H2O2.The effects of the three branched-chain amino acids on MI were evaluated by measuring MTT,LDH leakage rate and cellular morphology.In vivo,the MI model was established by ligating the coronary left anterior descending artery.Electrocardiography,echocardio-graphy,TTC staining and histopathological detection were conducted.Additionally,Western blot was used to determine the effect of leucine on inflammatory sig-naling pathway in vitro.Results At the cellular lev-el,BCAA pretreatment could further inhibit the surviv-al rate of cardiomyocytes,increase LDH leakage rate,markedly decrease cell numbers and obviously shrink-age morphology,thus aggravating acute injury in car-diomyocytes.In vivo,leucine or BCAA pretreatment further deteriorated the cardiac function,increased the cardiac infarct size,worsened the histopathological changes,increased levels of the serum CK-MB and AST in the MI group rats,and ultimately exacerbated the MI injury in rats.Additionally,leucine could dosedependently exacerbate the activation of the NL-RP3 inflammasome signaling pathway induced by H2O2 stimulation in H9c2 cells.Conclusion The exacerba-ting effect of BCAA on MI injury is mainly exerted through leucine,and this effect is associated with the activation of the NLRP3 inflammasome.

Background and Aims:Pancreatic cancer is one of the most aggressive malignancies of the digestive system and is associated with an inferior prognosis.In recent years,its incidence has shown a trend toward younger onset.Early-onset pancreatic cancer(EOPC),defined as pancreatic cancer diagnosed at≤50 years of age,has been increasing annually and may possess distinct biological and prognostic characteristics.Given the limited data from China,this study aimed to investigate the clinicopathological features and prognostic outcomes of EOPC patients.Methods:Clinical data of 113 patients with EOPC admitted to Xiangya Hospital,Central South University,from January 2017 to December 2023 were retrospectively analyzed.Variables included demographic characteristics,clinicopathological features,and survival information.Kaplan-Meier survival curves were plotted,and differences in survival between the surgical and non-surgical groups were compared.Results:The median age at diagnosis was 46(42-49)years,and males accounted for 65.49%of cases.Blood type A(40.71%)and type O(34.51%)were most common.The main presenting symptoms were abdominal pain(69.91%),weight loss(62.83%),jaundice(43.36%),and abdominal distension(36.28%).Imaging findings showed bile duct dilation in 32.74%,pancreatic duct dilation in 39.82%,vascular invasion in 59.29%,and distant metastasis in 52.21%of patients.Histopathology revealed that adenocarcinoma and ductal adenocarcinoma accounted for 93.81%of all cases,with predominantly moderate or poor differentiation(76.10%).Tumors were the most frequently located in the pancreatic head(65.42%).TNM staging showed lymph node metastasis in 77.88%and stage Ⅳ disease in 52.21%.Laboratory tests demonstrated markedly elevated CA19-9 levels.Kaplan-Meier analysis indicated a median overall survival of 18.6 months for the entire cohort,with significantly longer survival in the surgical group compared with the non-surgical group(29.4 months vs.13.8 months,P=0.001 5).Conclusion:EOPC predominantly affects males and tends to arise in the pancreatic head.It is often diagnosed at an advanced stage or with distant metastasis and is characterized by poor differentiation and strong invasiveness.Surgical resection markedly improves survival and remains the key to prolonged prognosis.Young individuals presenting with unexplained abdominal pain,weight loss,or jaundice should be carefully evaluated through imaging to enable early diagnosis and timely surgical intervention.Future multicenter,large-sample prospective studies are warranted to validate these findings further.

In 2025,the International Association of Pancreatology(IAP),in collaboration with the American Pancreatic Association,European Pancreatic Club,Indian Pancreas Club,and Japan Pancreas Society,released the International Association of Pancreatology revised guidelines on acute pancreatitis 2025.This edition represents a comprehensive revision of the 2013 guidelines,based on high-quality evidence accumulated over the past decade,particularly randomized controlled trials.The guidelines encompass 18 key areas-including pain management,fluid therapy,nutritional support,management of infected necrosis,complication control,discharge and follow-up,and recurrence prevention-offering a total of 96 recommendations that emphasize individualized treatment.These updates provide important guidance for standardizing clinical practice and improving outcomes in acute pancreatitis,while also indicating future research directions such as the development of targeted therapies.However,some recommendations remain limited by lower evidence quality,uncertain applicability in specific clinical settings,and insufficient consideration of economic burden and cost-effectiveness.

Objective:To investigate the current status of preimplantation genetic testing for aneuploidies (PGT-A) in China in 2024 and to provide recommendations for ensuring the consistency of PGT-A results.Methods:This study was a nationwide external quality assessment research. The National Center for Clinical Laboratories of the National Health Commission conducted two surveys in June and December 2024, with participation from 31 laboratories across China. During each survey, quality control samples of varying concentrations were distributed: the first survey distributed 6 samples (Batch Nos. 202401-202406) and the second survey distributed 3 samples (Batch Nos. 202431-202433). Participating laboratories were required to submit information including detection platforms, single-cell amplification methods, library construction methods, sequencing instruments, and test results. Collected data were statistically analyzed using Microsoft Excel to evaluate laboratories' PGT-A testing capabilities and determine whether results met predefined quality control requirements.Results:All 31 laboratories submitted results for both surveys. In the first survey, 90.3% (28/31) met qualification criteria with a 9.7% failure rate (3/31). For individual batches, pass rates were 90.3% (28/31) for batches 202401-202403 and 100% (31/31) for batches 202404-202406. The second survey achieved 100% (31/31) compliance across all three batches (202431-202433), with each batch maintaining a 100% pass rate.Conclusion:The detection quality of PGT-A in China is generally good, but with differences, and factors such as sample concentration, transportation conditions and detection methods affect the consistency of the results. The study highlights the urgent need for nationwide external quality assessment of PGT-A in China. This will help identify issues in laboratories in a timely manner and ensure the consistency of PGT-A test results.

OBJECTIVE To investigate the management status of small pressure steam sterilizers in dental institu-tions across seven major regions of China and provide references for establishing standardized monitoring and eval-uation protocols for sterilization efficacy.METHODS From Aug.to Nov.2023,a convenience sampling method was employed to select 885 dental institutions of various levels from seven geographical regions.An online survey using a self-designed questionnaire was conducted to assess the management status of small pressure steam steri-lizers in dental institutions.RESULTS A total of 885 questionnaires were distributed,with 770 valid responses col-lected,covering 770 dental institutions at all levels.The survey involved 2 056 small pressure steam sterilizers,of which 43.14％were pre-vacuum type and 89.40％were benchtop models.Tertiary dental institutions had the high-est proportion of imported small pressure steam sterilizers(60.15％),with most devices in use for 5-10 years(36.88％).Secondary and low er-level institutions predominantly used domestically produced small pressure steam sterilizers(74.60％),which used for 3-5 years accounting for the highest proportion(34.29％).While 85.58％of dental institutions employed dedicated sterilization personnel,only 45.84％performed proper maintenance for small pressure steam sterilizers.Training rates were 80.00％for department of stomatology in ungraded general hospitals and primary medical institutions,76.19％in prejob and 71.43％during the work for department of sto-matology in primary clinics,respectively.CONCLUSIONS Although most dental institutions demonstrate sound policy formulation,challenges persist in equipment maintenance,policy implementation and grassroots training.Future efforts should be made on strengthening maintenance and inspection of equipment,enhancing sys-tem supervisory mechanisms,and optimizing training systems to ensure dental treatment safety.

Objective To observe the value of artificial intelligence ultrasound combined with serum hyaluronic acid synthase 2(HAS2)and trefoil factor-1(TFF1)for early diagnosis of breast cancer.Methods Totally 176 patients with suspected breast cancer were retrospective enrolled and divided into malignant group(n=50)and benign group(n=126)according to pathological results.Artificial intelligence ultrasound and convolutional neural network algorithms were used to automatically label suspicious breast lesions.The lesions were manually graded based on breast imaging reports and data systems,classifying 0-3 grades as benign lesions,4-5 grades as malignant lesions.Clinical data and artificial intelligence ultrasound manifestations were compared between groups.Receiver operating characteristic curve was drawn,the area under the curve(AUC)was calculated to evaluate the efficacy of HAS2,TFF1,artificial intelligence ultrasound and their combination for diagnosing breast cancer.Results HAS2,TFF1,as well as the proportions of abnormal glandular thickness,low-echo lesions and abnormal blood flow morphology in malignant group were all higher than those in benign group(all P＜0.001).AUC of serum HAS2,TFF1 and artificial intelligence ultrasound for diagnosing breast cancer was 0.772,0.754 and 0.859,respectively.The combined diagnostic efficacy of the above three(AUC=0.925)was higher than single diagnostic efficacy(all P＜0.05).Conclusion Artificial intelligence ultrasound combined with serum HAS2 and TFF1 had good efficacy for early diagnosis of breast cancer.

Objective To observe the ultrasonic manifestations of local recurrence(LR)of breast cancer after surgery.Methods Totally 82 female breast cancer patients with local hypoechoic in surgical area who underwent ultrasound follow-up were enrolled and divided into LR group(n=18)and non LR group(n=64)according to the local hypoechoic was LR or not.Clinical data and ultrasonic manifestations of primary lesion before operation and postoperative local hypoechoic were observed and compared between groups.Results Significant differences of surgical resection type,molecular subtype,status of smooth muscle actin,Calponin status,Ki-67 status,clinical staging,the maximum diameter and posterior echo of the primary lesion,as well as of involved tissue layer,location,long axis parallel to the skin or not,edge,internal echo,posterior echo,skin change and Adler blood flow grading of local hypoechoic in resection area were found between groups(all P＜0.05).Conclusion Ultrasonic manifestations of LR of breast cancer after surgery had certain characteristics.