This article systematically reviews the current research status as well as diagnosis and treatment strategies of traditional Chinese medicine （TCM） for gastroesophageal reflux disease （GERD）. Studies demonstrate that TCM， based on the "disease-syndrome combination" approach， exhibits multi-target advantages in alleviating symptoms of various GERD subtypes， promoting mucosal repair， regulating emotions， and facilitating the reduction of western medication. To address clinical challenges such as symptom overlap and limited therapeutic efficacy， strategies have been proposed including "treating different diseases with the same method" and integrated regulation based on viscera correlation. Future efforts should focus on elucidating the mechanisms of compound prescriptions， promoting TCM drug development under the "three-combination" evaluation framework that integrates TCM theory， human experience and clinical trial evidence， and optimizing integrated traditional and western medicine models to enhance GERD management.

To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

Background/Aims: Non-pharmacological treatments are crucial for managing irritable bowel syndrome (IBS), yet patient engagement remains a challenge. Understanding patients' knowledge, attitudes, and practices regarding these treatments is essential for improving care. Methods: A cross-sectional study was conducted across 5 hospitals, from October 2023 to February 2024. A self-designed knowledge, attitudes, and practices questionnaire along with the IBS quality of life and IBS severity scoring system was administered, and 496 valid responses were analyzed. Statistical analyses included correlation tests, multivariate linear regression, and mediation effect analysis. Results: The median scores for knowledge, attitude, and practice were 28, 25.5, and 21, respectively. Significant positive correlations were found between knowledge-attitude (r = 0.195), knowledge-practice (r = 0.364), and attitude-practice (r = 0.151). The multivariate linear regression analysis further indicated that knowledge (β = 0.399, P < 0.001) and attitude (β = 0.219, P = 0.022) positively correlated with the practical performance. SEM revealed that knowledge had a significant direct effect on both attitude (β = 0.186, P = 0.013) and practice (β = 0.356, P = 0.006). However, the direct effect of attitude on practice was not significant, and attitude did not mediate the relationship between knowledge and practice. Conclusions IBS patients exhibit a significant gap between their positive attitudes and their actual practices concerning non-pharmacological treatments. Knowledge is a direct driver of practice, but positive attitudes alone are insufficient to translate into behavior. Healthcare providers must move beyond simply fostering positive attitudes and focus on targeted educational interventions that provide actionable knowledge and skills to improve patient outcomes.

Diaphragmatic dysfunction often occurs in ICU patients with prolonged mechanical ventilation, which seriously affects patients′prognosis. This article reviewed the progress of rehabilitation treatment of diaphragmatic dysfunction in ICU patients with mechanical ventilation, focused on the concept and assessment of diaphragm rehabilitation, the current status, evaluation indexes, emphasized the importance of nurses, analyzed the dilemmas and countermeasures in the application, which aimed to provide a reference for the promotion of diaphragm rehabilitation in clinical practice.

Objective To compare the accuracy and clinical application value of contrast-induced fractional flow reserve(cFFR),resting full-cycle ratio(RFR),and quantitative flow ratio(QFR)in evaluating coronary artery borderline lesions,using fractional flow reserve(FFR)as the gold standard.Methods A retrospective study was conducted including 143 patients with 143 lesions who underwent coronary angiography(CAG)and were tested for cFFR,RFR,QFR,and FFR at Peking University Third Hospital from September 2020 to January 2022.Clinical data,CAG lesion anatomical data,and target vessel cFFR,RFR,QFR,and FFR measurements were collected.The correlation and diagnostic concordance of cFFR,RFR,QFR,and FFR were analyzed.Results The mean age of the 143 patients was 66(58,71)years,with 90(62.9％)being male.Among them,60(42.0％)patients were diagnosed with unstable angina,and 115(80.4％)target lesions were located in the left anterior descending artery.Correlation analysis showed that RFR,QFR,and cFFR were all significantly correlated with FFR(r=0.956,r=0.861,r=0.751,P＜0.001).Bland-Altman analysis demonstrated high agreement between cFFR,RFR,QFR,and FFR.Receiver operating characteristics(ROC)curve analysis showed that the area under the curve(AUC)for RFR corresponding to FFR ≤0.80 was 0.92(95％CI 0.87-0.96),for QFR was 0.89(95％CI 0.83-0.95),and for cFFR was 0.96(95％CI 0.94-0.99).Conclusions cFFR,RFR,and QFR show high concordance with FFR,with similar diagnostic consistency between the three methods and FFR.

Objective To analyze the risk factors for meconium-stained amniotic fluid(MSAF)in preterm infants and the clinical outcome and prognosis of preterm infants.Methods Preterm infants with gestational age＜37 weeks delivered in Zhangjiajie People's Hospital from January 2022 to December 2023 were used as the study subjects,31 cases with MSAF were in MSAF group,and 31 cases of preterm infants hospitalized during the same period without MSAF were randomly paired in the ratio of 1∶1 to select with gestational age-body mass matching as non-MSAF group.Retrospective collection and analysis of pregnancy and perinatal conditions of mothers of preterm infants in two groups,comparing the differences of related factors between two groups of children;Logistic regression analysis of risk factors related to MSAF in preterm infants;comparing the complications and clinical outcomes of preterm infants in two groups.Results A total of 387 preterm infants with gestational age＜37 weeks were collected during the study period,including 31 preterm infants with comorbid MSAF,and the prevalence of MSAF in preterm infants was 8.0％.MSAF group had a higher incidence of advanced maternal age,premature rupture of membranes＞18 hours,antepartum fever,and cholestasis during pregnancy than non-MSAF group.Logistic regression analysis suggested that combined cholestasis during pregnancy and white blood cell count ≥ 30× 109/L within 6 hours after birth increased the incidence of MSAF in preterm infants.There was no statistically significant difference in the results of postnatal umbilical artery blood gas analysis between two groups of preterm infants.The proportion of leukocyte count ≥30×109/L,ultrasensitive C-reactive protein＞0.8 mg/L,and interleukin 6＞6 pg/L in MSAF group was higher than that of non-MSAF group in the 6 hours after birth.MSAF group had a higher incidence of intrauterine infectious pneumonia,feeding intolerance,and necrotizing small bowel colitis in neonates than non-MSAF group.Conclusion Advanced maternal age,intrauterine infections,and combined intrahepatic cholestasis during pregnancy may be the major risk factors for MSAF in preterm infants.MSAF preterm infants have a higher prevalence of intrauterine infectious pneumonitis,feeding intolerance,and necrotizing small bowel colitis in newborns,as well as longer hospital stays.

Objective To propose an improved Y OLOv8-based visible small target detection method to solve the problems of the UAV visible light system in accuracy and timeliness when applied to measuring small targets.Methods A YOLOv8 network consisting of Backbone,Neck and Head was used as the base framework to construct an AGC-YOLO model.Firstly,a convolutional block attention module(CBAM)was incorporated into Backbone to improve the feature expression of the model;secondly,some traditional convolution modules were replaced with the changeable kernel convolution module AKconv to reduce the network parameters;finally,a Gold-YOLO module was involved in Neck to enhance the detection ability for targets with different sizes.VisDrone2019 dataset was used to carry out ablation and comparison experiments,and the efficacy of the AGC-YOLO model for detecting small targets was evaluated in terms of mean average precision(mAP),frames per second(FPS),giga floating-point operations per second(GFLOPs)and parameters.Results The AGC-YOLO model had the FPS,GFLOPs and parameters being 31.90,9.20 and 11.30 M respectively,meeting the real-time detection speed requirements of drones(FPS not lower than 30),in which the mAP50(the mAP with the intersection over union being 0.5)was increased by 15％,6％and 5％when compared with those of the lightweight YOLOv8n,Ghost-YOLO and YOLO-BiFPN models.Conclusion The method proposed behaves well in speed,decreased parameters and precision,and is worthy promoting for UAV visible small target detection.[Chinese Medical Equipment Journal,2025,46(1):1-6]

Objective To propose a lead attention network-based ST-T change recognition algorithm to detect ECG ST-T changes accurately.Methods Firstly,heartbeat signals were extracted through R-wave localization,and a 12-lead heartbeat matrix was generated by correlation-based screening and merging to realize data augmentation.Secondly,a lead attention module was constructed by combining depthwise convolution(DWConv)with the channel attention squeeze-and-excitation block(SE-block)structure to perceive the differences in ST-T status among electrocardiogram leads.Thirdly,the mapping output by two independent attention modules was fused and splicing with the original signal residual was carried out,so that attention information extraction and original information transfer were enhanced effectively.Finally,SE-ResNet was used as the backbone network to extract signal features to complete the classification and identification of ST-T changes.To validate the recognition performance of the proposed algorithm for ST-T changes in ECG,the 12-lead ECG data of 97 472 patients containing different ECG rhythms were collected for ablation and comparison experiments at the First Affiliated Hospital of Army Medical University.Results The proposed algorithm achieved an AUC of 0.965 with a sensitivity of 90.51%,specificity of 90.23%,positive predictive value of 89.24%and overall accuracy of 90.36%on an independent test set.Comparative analysis demonstrated superior performance to four benchmark architectures,including VGG16,ResNet18,MobileNetV3-Small and ShuffleNet,in terms of both classification accuracy and computational efficiency.Conclusion The algorithm designed can accurately detect ST-T changes and can be used for wearable ECG automatic analysis to assist in the early warning of cardiovascular diseases in both acute and chronic patients and highland residents.[Chinese Medical Equipment Journal,2025,46(7):1-11]

Objective:To observe the effect of five element music therapy combined with progressive muscle relaxation(PMR)training on psychological stress and sleep quality in non-small cell lung cancer(NSCLC)chemotherapy patients.Methods:This was a prospective randomized controlled study,95 NSCLC chemotherapy patients were divided into control group(47 cases)and study group(48 cases)by random number table method.Both groups of patients received chemotherapy,the control group received PMR on this basis,while the study group received five element music therapy combined with PMR training.Self-rating depression scale(SDS),self-rating anxiety scale(SAS),sleep duration,Pittsburgh sleep quality Index(PSQI),Piper fatigue revised scale(PFS-R),European cancer research and treatment organization quality of life inventory(EORTC QLQ-C30),and Karnofsky Functional Status(KPS)scores were compared between the two groups.Results:Compared with the control group at 4 weeks after intervention,the study group had lower SAS,SDS,and PSQI scores,longer sleep duration,lower emotional,behavioral,cognitive,and sensory scores,and higher EORTC QLQ-C30 and KPS scores(P＜0.05).Conclusion:Five element music therapy combined with PMR training in non-small cell lung cancer(NSCLC)chemotherapy patients,can effectively improve the psychological stress,sleep quality,and healthy behavior,alleviate cancer-related fatigue,and enhance their quality of life.

Aim To explore the key components and mechanisms of Lizhong decoction in treating rats with cold-damp diarrhea based on network pharmacology,molecular docking technology and animal experiments.Methods By literature review and database collec-tion,the components of Lizhong decoction,therapeutic targets,and the mapping with diarrhea disease targets were conducted to construct an intersection target pro-tein-protein interaction network for screening core tar-gets,and GO and KEGG pathway enrichment analysis was performed to build an"active component-target-pathway"network,followed by molecular docking vali-dation.Forty-eight rats were randomly divided into the normal control group(K),model group(DG),Lizhong decoction group(LZDG),and Pulsatilla decoction group(BTDG).Subsequently,a rat cold-damp diar-rhea model was established using Senna combined with low-temperature high-humidity environment,and the rats were intervened with Lizhong decoction and Pul-satilla decoction.HE staining was used to detect path-ological changes in intestinal tissue,ELISA was em-ployed to measure the levels of peripheral blood IL-6,IL-10,IL-1 β,and TNF-α,and western blot was used to determine the expression of colon tight junction pro-teins.Results Network pharmacology initially identi-fied 125 compounds in Lizhong decoction,5 186 drug target components,438 disease targets,and 60"drug-disease"shared targets.GO and KEGG enrichment a-nalysis showed that signaling pathways such as IL-17 and TNF were highly enriched.Molecular docking in-dicated that the core components of the drug had good binding activity with corresponding key targets.Liz-hong decoction could effectively improve the clinical symptoms of rats with cold-damp diarrhea,and com-pared with the DG group,the diarrhea rate,diarrhea in-dex,and other related indicators also gradually de-creased to normal levels.Compared with the DG group,the LZDG group showed reduced inflammation levels and a recovery in energy metabolism levels.Conclusion It can regulate targets such as MMP9 and IL-17 signaling pathways through multi-components like Calycosin and formononetin to exert its therapeutic effect on cold-damp diarrhea.