Objective To observe the clinical efficacy of therapy of tonifying heart and spleen for the treatment of patients with postpartum depression of heart and spleen deficiency syndrome based on the theory of intestinal flora-neurotransmitter-brain axis(shortened as brain-intestine axis),and to explore its effect on the improvement of patients'depression and anxiety.Methods A total of 136 patients with postpartum depression of heart and spleen deficiency syndrome who admitted to The 908th Hospital of the Joint Logistics Support Force of the People's Liberation Army of China from June 2021 to July 2023 were randomly divided into the conventional treatment group(control group)and the tonifying heart-spleen group(observation group)according to the random number table method,with 68 cases in each group.The control group was treated with conventional antidepressant drugs,and the observation group was treated with therapy of tonifying heart and spleen by utilization of Shen Qi Jieyu Prescription Granules)on the basis of treatment for the control group.Both groups were treated for six continuous weeks.Before and after the treatment,the two groups were observed in the changes of main symptom scores of traditional Chinese medicine(TCM)syndrome,Hamilton Depression Scale(HAMD)scores,7-Item Generalized Anxiety Disorder Scale(GAD-7)scores,and the levels of serum neurotransmitters of 5-hydroxytryptamine(5-HT),dopamine(DA),norepinephrine(NE),as well as microflora metabolites such as short-chain fatty acids(SCFAs),glutamic acid(GLU),gamma-aminobutyric acid(GABA).Moreover,the clinical efficacy and safety of the two groups of patients were evaluated.Results(1)After six weeks of treatment,the total effective rate of the observation group was 89.71%(61/68)and that of the control group was 73.53%(50/68),and the intergroup comparison(tested by chi-square test)showed that the efficacy of the observation group was significantly superior to that of the control group(P<0.05).(2)After treatment,the scores of TCM syndrome main symptoms such as emotional upset,slow thinking,poor appetite,abdominal distension and loose stools in the two groups were decreased compared with those before treatment(P<0.05),and the decrease in the observation group was significantly superior to that in the control group(P<0.01).(3)After treatment,the HAMD scores and GAD-7 scores in the two groups of patients were all decreased compared with those before treatment(P<0.05),and the decrease in the observation group was significantly superior to that in the control group(P<0.01).(4)After treatment,the serum levels of neurotransmitters 5-HT,DA,and NE in the two groups of patients were all increased compared with those before treatment(P<0.05),and the increase in the observation group was significantly superior to that in the control group(P<0.01).(5)After treatment,the serum levels of microflora metabolites SCFAs,GLU and GABA in the two groups of patients were all increased compared with those before treatment(P<0.05),and the increase in the observation group was significantly superior to that in the control group(P<0.01).(6)The incidence of adverse reactions in the observation group was 8.82%(6/68)and that in the control group was 5.88%(4/68),and the intergroup comparison showed that the difference was not statistically significant(P>0.05).Conclusion The application of therapy of tonifying heart and spleen for the treatment of patients with postpartum depression of heart and spleen deficiency syndrome based on brain-intestine axis exerts certain efficacy and safety through correcting the imbalance of neurotransmitters and regulating the microflora metabolites of the patients,thus to alleviate depression and anxiety.

Objective:To develop and evaluate a medical visual question answering (VQA) model for neonatal lung ultrasound (LUS) images to enhance intelligent auxiliary diagnosis of neonatal pulmonary diseases.Methods:Using data from neonates admitted to Beijing Obstetrics and Gynecology Hospital, Capital Medical University (January 2023 to December 2024), an image-question-answer dataset comprising 251 LUS images was constructed [43 pneumonia (17.1%), 42 neonatal respiratory distress syndrome (16.7%), 83 transient tachypnea (33.1%), and 83 normal (33.1%) images] with a four-tier medical question-answer framework. Building upon the Qwen2.5-VL-7B base model and integrating LoRA fine-tuning with chain-of-thought prompting, we developed the NLUS-VQA model to enhance visual-language semantic alignment and enable stepwise clinical reasoning, achieving efficient small-sample adaptation. Model performance was comprehensively assessed through natural language generation metrics (BLEU-4, ROUGE-1/2/L), qualitative evaluation of characteristic recognition, and clinical consistency analysis.Results:(1) Quantitative evaluation demonstrated that NLUS-VQA achieved scores of 22.38 (BLEU-4), 48.26 (ROUGE-1), 22.40 (ROUGE-2), and 37.20 (ROUGE-L), representing significant improvements over baseline models. (2) Qualitatively, the model exhibited strong performance in identifying lung consolidation, coalescent B-lines, and snowflake signs, with its chain-of-thought strategy enhancing clinical interpretability and answer accuracy. (3) Clinically, NLUS-VQA achieved a Cohen's Kappa coefficient of 0.78 and diagnostic accuracy of 80.8% (21/26), indicating substantial agreement with clinical experts.Conclusion:The NLUS-VQA model demonstrates robust interpretability in recognizing key sonographic patterns (e.g. lung consolidation, confluent B-lines, and snowflake signs), providing a scalable framework for small-sample medical image analysis, though diagnostic performance on complex conditions remains limited by dataset scale and minority class representation.

Objective:To develop and evaluate a medical visual question answering (VQA) model for neonatal lung ultrasound (LUS) images to enhance intelligent auxiliary diagnosis of neonatal pulmonary diseases.Methods:Using data from neonates admitted to Beijing Obstetrics and Gynecology Hospital, Capital Medical University (January 2023 to December 2024), an image-question-answer dataset comprising 251 LUS images was constructed [43 pneumonia (17.1%), 42 neonatal respiratory distress syndrome (16.7%), 83 transient tachypnea (33.1%), and 83 normal (33.1%) images] with a four-tier medical question-answer framework. Building upon the Qwen2.5-VL-7B base model and integrating LoRA fine-tuning with chain-of-thought prompting, we developed the NLUS-VQA model to enhance visual-language semantic alignment and enable stepwise clinical reasoning, achieving efficient small-sample adaptation. Model performance was comprehensively assessed through natural language generation metrics (BLEU-4, ROUGE-1/2/L), qualitative evaluation of characteristic recognition, and clinical consistency analysis.Results:(1) Quantitative evaluation demonstrated that NLUS-VQA achieved scores of 22.38 (BLEU-4), 48.26 (ROUGE-1), 22.40 (ROUGE-2), and 37.20 (ROUGE-L), representing significant improvements over baseline models. (2) Qualitatively, the model exhibited strong performance in identifying lung consolidation, coalescent B-lines, and snowflake signs, with its chain-of-thought strategy enhancing clinical interpretability and answer accuracy. (3) Clinically, NLUS-VQA achieved a Cohen's Kappa coefficient of 0.78 and diagnostic accuracy of 80.8% (21/26), indicating substantial agreement with clinical experts.Conclusion:The NLUS-VQA model demonstrates robust interpretability in recognizing key sonographic patterns (e.g. lung consolidation, confluent B-lines, and snowflake signs), providing a scalable framework for small-sample medical image analysis, though diagnostic performance on complex conditions remains limited by dataset scale and minority class representation.

Objective:To construct a reliability management model of medical equipment in the department of respiratory and critical care medicine,and to explore its application effect in the management of medical equipment in the department of respiratory and critical care medicine.Methods:Taking the reliability of equipment management content and management methods as evaluation indexes,standardized procedures of equipment use,cleaning and emergency management were formed,and a reliability management model for medical equipment in the department of respiratory and critical care medicine was constructed.A total of 63 medical devices in clinical use in the Department of Respiratory and Critical Care Medicine of Beijing Anzhen Hospital,Capital Medical University from January 2022 to January 2023 were selected.According to different management modes,conventional management mode(32 devices)and reliability management mode(31 devices)were adopted respectively.The equipment management index score,equipment goal achievement degree and equipment management defect rate,and the equipment management recognition scores of the engineers,equipment operation technicians and doctors of equipment use management were compared between the two management modes.Results:The average recognition scores of the engineers,operating technicians and doctors for the use of equipment of the reliability management model were(90.66±5.25)points,(91.54±4.14)points and(92.17±5.17)points,respectively,which were higher than those of the conventional management model,the difference was statistically significant(t=14.249,13.773,12.267,P<0.05).The average scores of equipment resource allocation,information technology,technical support and management performance indicators of the reliability management mode were(90.25±4.12)points,(92.45±3.26)points,(91.47±2.78)points and(90.25±3.11)points,respectively,which were higher than those of conventional management mode,the difference was statistically significant(t=12.122,18.379,15.581,14.141,P<0.05).The average scores of equipment use standardization,cleaning completion and emergency management timeliness of reliability management mode were(92.36±3.25)points,(90.69±3.69)points and(91.87±3.01)points,respectively,which were higher than those of the conventional management mode,the difference was statistically significant(t=14.953,15.030,14.401,P<0.05).The number of equipment damaged,repaired and factory repair of the reliability management mode was 1,1 and 2,respectively,and the defect rates were 3.22%,3.22%and 6.45%,respectively,which were lower than those of the conventional management mode,the difference was statistically significant(x2=8.581,9.908,8.782,P<0.05).Conclusion:The application of reliability-based medical equipment management model to the medical equipment management of respiratory and critical care medicine can improve the quality of equipment management and operation,reduce the failure rate of equipment,and improve the service level of equipment.

Microgravity in space will lead to the decline of astronauts'motor sensation,which will affect the ability of balance maintenance and posture control.Which limits the ability of astronauts to quickly get out of danger in case of extravehicular activities or landing emergencies,and seriously affects the completion of space missions and endangers the safety of astronauts.The current weightlessness countermeasure based on exercise can effectively alleviate the problems of skeletal muscle and cardiovascular system caused by weightlessness to a certain extent,but it cannot effectively prevent the motor sensory dysfunction after space flight.Therefore,new weightlessness countermeasures of special physical conditioning are needed to attenuate the decline of human balance control ability after long-term space flight.By reviewing the previous research results of space flight and simulated weightlessness experiments,this paper systematically analyzes the influencing factors of human body balance control,compares the balance control promotion schemes of special physical conditioning in the field of sports,and puts forward the potential protection strategies for weightlessness environment based on the integration of sports and medicine.The feedback regulation of muscle tension,tactile and proprioceptive play an important role in human posture balance and motion control.The unloading of human gravity load in space weightlessness environment will greatly reduce the input-output feedback regulation activity of the above senses which may lead to balance dysfunction.The post-flight balance control dysfunction may be improved by special physical conditioning,such as loading of z-axial load,enhancement of tactile feedback and proprioceptive response based on unstable mechanical stress stimulation during spaceflight.

Objective:To explore the relevance of a new comprehensive respiratory mechanics parameter, elastic power, to the 28-day prognosis of ARDS patients.Methods:Patients with ARDS hospitalized for at least 48 h with invasive mechanical ventilation in five intensive care units in three local hospitals in Lianyungang City from June 2018 to June 2022 were included in the study. Their baseline data and respiratory mechanics parameters were collected. Elastic power, mechanical power, driving pressure and lung compliance are calculated according to the corresponding formulae. The prognostic risk factors of ARDS patients were analysed using COX multi-factor regression, and the predictive value of EP/Cst on the 28-day prognosis of ARDS patients was evaluated based on ROC curve analysis and Kaplan-Meier survival curve.Results:There was no significantly difference in tidal volume and PEEP settings between the patients in the ARDS survivor and death groups ( P> 0.05). However, the differences in respiratory rate, plateau pressure, driving pressure, lung compliance, mechanical work, elastic work, EP/cst and MP/cst between the two groups were significantly different (all P< 0.01). Multifactorial COX regression analysis showed that EP/cst ( HR=1.211, 95% CI:1.091-1.323) and RR ( HR=1.209, 95% CI:1.046-1.339) were strongly associated with a more severe degree of illness and a worse prognosis in ARDS. And the cumulative survival rate at 28 d was significantly lower in the high Cst-EP group than in the low Cst-EP group (50.00% vs. 82.40%, P < 0.01). Conclusions:The new respiratory mechanics parameters EP and EP/Cst can assess the severity of ARDS with a good predictive effect on patient prognosis at 28 days.

Amino-containing compounds,including amino acids,aliphatic amines,aromatic amines,small peptides and catecholamines,are involved in various biological processes and play vital roles in multiple meta-bolic pathways.Previous studies indicated that some amino-containing metabolites are significant diagnostic and prognostic biomarkers of gastric cancer.However,the discovery of precise biomarkers for the preoperative diagnosis of gastric cancer is still in an urgent need.Herein,we established a polarity-regulated derivatization method coupled with liquid chromatography-mass spectrometry(LC-MS)for amino-containing metabolites profiling in the serum samples of patients with gastric cancer and healthy controls,based on our newly designed and synthesized derivatization reagent(S)-3-(1-(diisopropox-yphosphoryl)pyrrolidine-2-carboxamido)-N-hydroxysuccinimidyl ester(3-DP-NHS).Enhanced separa-tion efficiency and detection sensitivity for amino-containing metabolites were achieved after derivatization.This method exhibited good linearity,recovery,intra-and inter-day precision and accu-racy.Only 5 μL serum is needed for untargeted analysis,enabling 202 amino-containing metabolites to be detected.Statistical analysis revealed altered amino acid metabolisms in patients with gastric cancer.Furthermore,ultra high performance liquid chromatography coupled with mass spectrometry(UHPLC-MS/MS)analysis quantification revealed increased serum levels of tryptamine and decreased concen-trations of arginine and tryptophan in patients with gastric cancer.Receiver operating characteristic(ROC)curves indicated that an increased tryptamine/tryptophan ratio could serve as a potential biomarker for gastric cancer diagnosis.This study demostrated the possibility of using serum amino acid biomarkers for gastric cancer diagnosis,providing new avenues for the treatment of gastric cancer.

Objective:To develop a list of basic and expanded medical laboratory tests in community health service centers in Shanghai.Methods:The status quo of human and equipment resource allocation, the test items and quality control currently performed, the perspectives of various stakeholders, the capacity building of community clinical laboratory in community health service centers in Shanghai were investigated by quantitative survey and qualitative interview; and the rating scores of each test item were assessed by expert consultation using Delphi method. The expert focus discussion was conducted, and each test item was rated and classified. Finally a list of the basic tests and expanded tests in clinical laboratories of community health service center was developed.Results:A total of 247 questionnaires were distributed and 192 (77.7%) were answered. A list of 94 laboratory test items was screened out based on the questionnaire survey of the laboratories of the community health centers. Thirty one experts in the relevant areas were invited to rate the test items, the average authority coefficient of experts was 0.90, with which the weighted average of the expert ratings was made. There were 45 (47.9%) items scored 7 or higher, 38 (40.4%) scored between 5 and 7, and 11 (11.7%) scored less than 5. Based on the results of the expert focus discussion, 48 items were recommended as the basic tests and 46 items as the extended tests.Conclusion:In this study a list of tests recommended to clinical laboratories in Shanghai community health service centers has been developed, which contains 48 basic tests and 46 extended tests.

Objective To analyze changes in serum levels of inflammatory factors,galectin-3 (Gal-3),fractalkine(FKN) and interleukin-6 (IL-6),in patients with dilated cardiomyopathy (DCM) or ischemic cardiomyopathy (ICM),and to explore their clinical significance.Methods Seventy-six hospitalized patients with DCM were selected to serve as a DCM group,and 78 patients with ischemic cardiomyopathy were selected into an ICM group from October 2016 to December 2017 at the Department of Cardiology,and patients in the two groups received cardiac function classification.Meanwhile,82 healthy people were included as a control group.Fasting venous blood was collected,and serum levels of Gal-3,FKN,IL-6,and BNP were measured.The correlations of Gal-3,FKN,and IL-6 with DCM or ICM were analyzed.Results Levels of plasma BNP and serum Gal-3,FKN,and IL-6 in the DCM and ICM groups were higher than those in the control group,and their levels in the DCM group were significantly higher than in the ICM group.Levels of plasma BNP and serum Gal-3,FKN,and IL-6 increased as their New York Heart Association(NYHA)classification went higher in both the DCM and ICM groups.For patients classified at the same level,serum levels of Gal-3,FKN,and IL-6 of the DCM group were significantly higher than those of the ICM group(P ＜ 0.05).BNP levels showed no difference between the two groups(P ＞0.05).Spearman correlation analysis indicated positive correlations of NYHA classification with levels of BNP(r =0.30,0.19),Gal-3(r=0.24,0.19),FKN(r =0.63,0.51),and IL-6(r =0.28,0.15)in both the DCM and ICM groups(P ＜ 0.05),and the correlation was stronger in the DCM group.Conclusions Increased expression of plasma BNP,Gal-3,FKN,and IL-6 in patients with DCM and ICM are closely related to the severity of cardiac function impairment.Monitoring changes in levels of plasma BNP and serum inflammatory factors Gal-3,FKN and IL-6 provides important clues for the differential diagnosis between DCM and ICM,the assessment of clinical conditions and treatment-related decisions.