Objective:To explore the value of contrast-enhaoced echocardiography for measuring pulmonary transit time（PTT）in assessing heart failure after percutaneous coronary intervention（PCI）in acute ST-segment elevation myocardial infarction（STEMI）patients.Methods:From September 2023 to September 2024，120 patients with STEMI undergoing PCI at Hunan Provincial People's Hospital were prospectively selected and divided into a heart failure group（ n=42）and a non-heart failure group（ n=78）according to the guidelines. The differences in general clinical data，laboratory parameters，and echocardiographic parameters between the two groups were compared. The diagnostic efficacies of PTT，normalized PTT（nPTT），and N-terminal pro-B-type natriuretic peptide（NT-proBNP）were analyzed. Consistency between them and New York Heart Association（NYHA）heart function classification was tested. Results:Compared to the non-heart failure group，the NT-proBNP，PTT，and nPTT values in the heart failure group were significantly increased（all P<0.05）. The area under the curve（AUC）of nPTT was 0.944，better than that of PTT and NT-proBNP（AUC=0.871，0.887）. After K-means clustering reclassified patients into four levels based on nPTT values，nPTT classification showed moderate consistency with NYHA classification（Kappa=0.580， P<0.001），and nPTT differed significantly across NYHA classifications（ P<0.05）. Conclusions:PTT，as an echocardiographic index for assessing cardiac function，has similar diagnostic efficacy to NT-proBNP，the nPTT is even better. It shows moderate consistency with the NYHA classification and holds potential for differentiating overlapping NYHA grades. Importantly，it offers a fresh objective way to evaluate cardiac dysfunction after PCI in STEMI patients.

Objective:To explore the value of contrast-enhaoced echocardiography for measuring pulmonary transit time（PTT）in assessing heart failure after percutaneous coronary intervention（PCI）in acute ST-segment elevation myocardial infarction（STEMI）patients.Methods:From September 2023 to September 2024，120 patients with STEMI undergoing PCI at Hunan Provincial People's Hospital were prospectively selected and divided into a heart failure group（ n=42）and a non-heart failure group（ n=78）according to the guidelines. The differences in general clinical data，laboratory parameters，and echocardiographic parameters between the two groups were compared. The diagnostic efficacies of PTT，normalized PTT（nPTT），and N-terminal pro-B-type natriuretic peptide（NT-proBNP）were analyzed. Consistency between them and New York Heart Association（NYHA）heart function classification was tested. Results:Compared to the non-heart failure group，the NT-proBNP，PTT，and nPTT values in the heart failure group were significantly increased（all P<0.05）. The area under the curve（AUC）of nPTT was 0.944，better than that of PTT and NT-proBNP（AUC=0.871，0.887）. After K-means clustering reclassified patients into four levels based on nPTT values，nPTT classification showed moderate consistency with NYHA classification（Kappa=0.580， P<0.001），and nPTT differed significantly across NYHA classifications（ P<0.05）. Conclusions:PTT，as an echocardiographic index for assessing cardiac function，has similar diagnostic efficacy to NT-proBNP，the nPTT is even better. It shows moderate consistency with the NYHA classification and holds potential for differentiating overlapping NYHA grades. Importantly，it offers a fresh objective way to evaluate cardiac dysfunction after PCI in STEMI patients.

Lipopolysaccharides (LPS) are major outer membrane components of Gram-negative bacteria. Unlike most Gram-negative bacteria, Acinetobacter baumannii can still survive and acquire polymyxin resistance after complete loss of LPS. Previous studies of LPS-deficient Acinetobacter baumannii mostly focused on LPS-deficient strains induced by polymyxin, whose background was complex and unstable. To investigate LPS loss-mediated polymyxin resistant-Acinetobacter baumannii, this study constructed a stable and clear background LPS-deficient strain by knocking out lpxC gene in Acinetobacter baumannii ATCC 19606 with CIRSPR/Cas9, and then studied the phenotypic changes of the lpxC-deficient strain including morphology, growth rate, antibiotic susceptibility, virulence, membrane permeability, and membrane potential. Animal experiments were approved by the Animal Care and Welfare Committee Institute of Medicinal Biotechnology, CAMS and PUMC (approval number: IMB-20240119D₉). The results indicated that the lpxC gene of Acinetobacter baumannii ATCC 19606 was successfully knocked out. After losing the lpxC, the strain underwent the morphological change from rod-shaped to spherical. Furthermore, it leads to reduced growth rate, enhanced membrane permeability, decreased membrane potential, lower virulence, and increased antibiotic susceptibility to β-lactams, quinolones, aminoglycosides, macrolides, glycopeptides. The lpxC deletion results in significant changes in membrane homeostasis and adaptability of Acinetobacter baumannii. Understanding the phenotypic changes of colistin-resistant Acinetobacter baumannii mediated by LPS loss is useful for exploring the resistance mechanism of Acinetobacter baumannii and developing new therapeutic strategies.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Atrial Fibrillation/complications* ; Humans ; Pulmonary Disease, Chronic Obstructive/complications* ; Pulmonary Veins

Chinese medicine dispensing granules, the result of the efforts to transform Chinese medicinal decoction pieces in China, features portability and ease of storage. Thus, it is destined to be an indispensible dosage form in the modernization drive of Chinese medicine. The Announcement on Ending the Pilot Project of Chinese Medicine Dispensing Granules was released in February 2021 and relevant regulations went into force in November 2021, which marks the a new journey for the development of Chinese medicine dispensing granules and the beginning of the "post-pilot era". However, it faces the challenges in quality and standard. This study reviewed the history of Chinese medicine dispensing granules, analyzed the technical progress, market, and main problems in development, and proposed suggestions and prospects for its development in the "post-pilot era", which is expected to serve as a reference for its industry development and rational use.
China ; Drugs, Chinese Herbal/therapeutic use* ; Industrial Development ; Medicine, Chinese Traditional ; Pilot Projects

OBJECTIVE: To explore the mediating effect of the general self-efficacy(GSE), stress coping personality(SCP) and perceived professional benefits(PPB) among nursing practice students. METHODS: A total of 836 nursing interns from six grade A hospitals in six cities were selected as the research subjects using convenience sampling method. The GSE, SCP and PPB were investigated by the General Self-Efficacy Scale, Scale of Stress Coping Personality for College Students and Questionnaire of Nurses Perceived Professional Benefit. RESULTS: The average scores of GSE, SCP, and PPB were(24.6±5.8),(183.1±28.7) and(139.5±18.0), respectively. The scores of GSE and SCP were positively correlated with that of PPB [correlation coefficients(r) were 0.31 and 0.38 respectively, both P<0.01], and a positive correlation was found between GSE and SCP(r=0.41, P<0.01). The hierarchical regression results showed that the sense of control, tenacity and tolerance of SCP of the interns had a predictive effect on their PPB(all P<0.05); but the effect of SCP on PPB was weakened after inclusion of GSE(P<0.01). The structural equation model analysis results showed that both SCP and GSE of interns had a direct positive predictive effect on PPB(all P<0.01), GSE played a partial mediating role between SCP and PPB, accounting for 20.3% of the total effect. CONCLUSION: The SCP of nursing interns can directly or indirectly affect their PPB, and GSE plays a partial mediating effect between SCP and PPB.

Objective:To summarize clinical characteristics of and treatment experience with patients with critical illnesses in a dermatological ward.Methods:All patients with serious or life-threatening conditions, who were hospitalized at the dermatological ward of the Second Xiangya Hospital of Central South University from July 9, 2011 to December 31, 2020, were collected, and their clinical data were retrospectively analyzed. Demographic characteristics, disease types and proportions, main complications, causes of serious or life-threatening conditions, important treatment measures and outcomes were summarized, and causes of death were also analyzed and discussed.Results:A total of 1 057 patients with critical illnesses were collected, with a male-to-female ratio of 1∶1.11, and 64.81% of them aged 18 to 65 years. The types of diseases mainly included drug eruptions (332 cases) , connective tissue diseases (226 cases) , bullous skin diseases (104 cases) , psoriasis (57 cases) , erythroderma (45 cases) , infectious skin diseases (67 cases) , etc. Among them, psoriasis (39 cases) and erythroderma (32 cases) mostly occurred in males, and connective tissue diseases (168 cases) mostly occurred in females. Common complications mainly involved infections, important organ damage or dysfunction, hypoalbuminemia, and fluid, electrolyte and acid-base imbalances. A total of 94 patients were diagnosed with life-threatening conditions, which were found to be mainly caused by primary skin diseases, hematologic abnormalities, respiratory failure, nervous system abnormalities, renal failure, sepsis, fluid, electrolyte and acid-base imbalances, etc. During the management of critical illnesses, 43 patients were treated with high-dose glucocorticoid pulse therapy, 264 were treated with gamma-globulin pulse therapy, 355 were transfused with other blood products, and 34 received special therapies such as hemoperfusion/immunoadsorption therapy, plasma exchange, dialysis, artificial liver support therapy; 42 patients were transferred to the intensive care unit (ICU) , 12 were transferred to the department of surgery for operations, and 12 were transferred to the department of obstetrics and gynecology for delivery or induction of labor. After treatment, 989 patients (93.57%) achieved improvement and were discharged. A total of 14 patients (1.32%) died, of whom 7 died of secondary sepsis, 2 died of severe pulmonary infections, 2 died of asphyxia caused by respiratory mucosa shedding-induced airway obstruction, the other 3 died of gastrointestinal hemorrhage, cerebral hemorrhage and neuropsychiatric systemic lupus erythematosus, respectively.Conclusions:Critical cases in the dermatological ward mainly suffered from serious skin diseases such as severe drug eruptions, connective tissue diseases and bullous skin diseases, as well as complications such as severe underlying diseases, severe organ dysfunction, sepsis or severe fluid, electrolyte and acid-base imbalances. In terms of treatment, it is of critical significance to make a clear diagnosis and assess the severity of disease as early as possible, monitor and prevent possible complications, and to consult with specialists in relevant disciplines in time.

Objective:To explore the performance of the attention-multiple instance learning (MIL) framework, an attention fusion network-based MIL, in the automated diagnosis of chronic gastritis with multiple indicators.Methods:A total of 1 015 biopsy cases of gastritis diagnosed in Fudan University Cancer Hospital, Shanghai, China and 115 biopsy cases of gastritis diagnosed in Shanghai Pudong Hospital, Shanghai, China were collected from January 1st to December 31st in 2018. All pathological sections were digitally converted into whole slide imaging (WSI). The WSI label was based on the corresponding pathological report, including "activity" "atrophy" and "intestinal metaplasia". The WSI were divided into a training set, a single test set, a mixed test set and an independent test set. The accuracy of automated diagnosis for the Attention-MIL model was validated in three test sets.Results:The area under receive-operator curve (AUC) values of Attention-MIL model in single test sets of 240 WSI were: activity 0.98, atrophy 0.89, and intestinal metaplasia 0.98; the average accuracy of the three indicators was 94.2%. The AUC values in mixed test sets of 117 WSI were: activity 0.95, atrophy 0.86, and intestinal metaplasia 0.94; the average accuracy of the three indicators was 88.3%. The AUC values in independent test sets of 115 WSI were: activity 0.93, atrophy 0.84, and intestinal metaplasia 0.90; the average accuracy of the three indicators was 85.5%.Conclusions:To assist in pathological diagnosis of chronic gastritis, the diagnostic accuracy of Attention-MIL model is very close to that of pathologists. Thus, it is suitable for practical application of artificial intelligence technology.

The objective of this research was to clone 1-deoxy-D-xylulose 5-phosphate reductoisomerase gene (MoDXR) and its promoter sequence from Morinda officinalis and carry out bioinformatic analysis, cis-acting elements analysis, and prokaryotic expression. On the basis of the MoDXR gene sequence obtained from the M. officinalis transcriptome and with NCBI-ORFfinder analysis, a pair of specific primers were designed, and used for RT-PCR amplification. The promoter region sequence at the 5′ end of MoDXR gene was isolated by the genome walking technique. Localization of MoDXR was carried out by subcellular analysis. The prokaryotic expression plasmid pET-28a-MoDXR was constructed and transfected into Escherichia coli BL21(DE3) chemically-competent cells; the recombiant plasmid expressed fusion protein after the induction by IPTG. The full-length cDNA of MoDXR was 2 015 bp,and open reading frame (ORF) size was 1 425 bp, and it encoded 474 amino acid residues and had a molecular mass of 51.27 kD. Sequence comparison with BlastP to the NCBI database revealed that MoDXR had high sequence similarity with many other DXRs, such as Coffea arabica DXR (CaDXR) and Rauvolfia verticillata DXR (RvDXR). A phylogenetic tree revealed that MoDXR had its closest relationship with DXR from Coffea arabica and Gardenia jasminoides. The subcellular localization revealed that MoDXR protein was located on the chloroplast. Plantcare analysis indicated that the promoter region sequence of MoDXR was 1 493 bp, covering multiple light, stress, and hormone-responsive cis-regulatory elements; protein electrophoresis showed that the expressed protein was the anticipated size. This research lays the foundation for further purification and structural and functional characterization of the MoDXR protein.