Traditional Chinese medicine and its bioactive components have garnered increasing attention as potential therapeutic options for allergic asthma. By targeting the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) signaling pathway, these natural compounds exhibit unique advantages in multilevel immunomodulation and inflammation suppression compared with single-target synthetic drugs. Accumulating pharmacological evidence supports their capacity to restore pathway homeostasis, positioning them as promising candidates for complementary strategies in asthma management. Allergic asthma, a heterogeneous respiratory disorder affecting approximately 150 million individuals worldwide, arises from a complex interplay of genetic predisposition, environmental exposures, and lifestyle factors. Its pathological progression is marked by aberrant activation of the PI3K/AKT signaling cascade, with the mechanistic target of rapamycin serving as a key downstream regulatory node. This evolutionarily conserved pathway orchestrates fundamental cellular processes that contribute to three hallmark pathological features of allergic asthma: chronic airway inflammation, structural remodeling of the bronchial architecture, and airway hyperresponsiveness. This review has 3 primary objectives: (1) to evaluate the role of the PI3K/AKT pathway in allergic asthma pathogenesis, (2) to analyze the molecular mechanisms of representative traditional Chinese medicine preparations and their active ingredients, and (3) to identify novel bioactive inhibitors derived from natural products. Collectively, these investigations provide a conceptual framework for the development of next-generation targeted therapies and for optimizing clinical management strategies for allergic asthma.

With the increasing use of low-dose computed tomography (LDCT) in lung cancer screening and health examinations, the clinical goal of pulmonary nodule management has shifted from detecting nodules to identifying lesions that warrant intervention while avoiding overdiagnosis and overtreatment of low-risk disease. Artificial intelligence (AI) has consequently evolved from computer-aided detection and segmentation to benign-malignant differentiation, longitudinal growth assessment, invasiveness prediction, risk stratification, and closed-loop workflow support. This review outlines the developmental trajectory of AI for pulmonary nodules and summarizes advances in detection and segmentation, radiomics, end-to-end deep learning, longitudinal modeling, and multimodal integration across incidentally detected, screening-detected, subsolid, and multiple-nodule scenarios. Particular attention is given to real-world failure modes and their causes, including data and label bias, scanner- and protocol-related distribution shift, spectrum bias and overfitting in subsolid nodules, missed atypical lesions, automation bias, and management of discordance between AI outputs and guideline-based recommendations. Current evidence suggests that AI may improve detection efficiency and risk reclassification in selected settings; however, evidence regarding cross-population calibration, patient-relevant outcomes, cost-effectiveness, and post-deployment monitoring remains limited. AI should therefore be positioned as a human-in-the-loop adjunct within guideline-governed pathways, supported by scenario-specific validation, transparent reporting, interpretability and accountability, continuous performance auditing, and multidisciplinary decision-making.

[Objective] To analyze the loss rate of platelet donors and evaluate the strategies for establishing a platelet donor bank. [Methods] A total of 1 443 donors who joined the HLA and HPA gene donor bank for platelets in Henan Province from 2018 to 2020 were included in this study. Data on the total number of apheresis platelet donations, annual donation frequency, age at enrollment, donation habits (including the number of platelets donated per session and whether they had previously donated whole blood), and enrollment location were collected from the platelet donor information management system. Donor loss was determined based on the date of their last donation. The loss rates of different groups under various conditions were compared to assess the enrollment strategies. [Results] By the time the platelet bank was officially operational in 2022, 421 donors had been lost, resulting in an loss rate of 29% (421/1 443). By the end of 2023, the overall cumulative loss rate reached 52% (746/1 443). The loss rate was lower than the overall level in groups meeting any of the following conditions: total apheresis platelet donations exceeding 50, annual donation frequency of 10 or more, age at enrollment of 40 years or older, donation of more than a single therapeutic dose per session, or a history of whole blood donation two or more times. Additionally, loss rates varied across different enrollment locations, with higher enrollment numbers generally associated with higher loss rates. [Conclusion] Through a comprehensive analysis of donor loss, our center has adjusted its strategies for establishing the donor pool. These findings also provide valuable insights for other blood collection and supply institutions in building platelet donor banks.

Objective To explore the risk factors for obstetric septic shock.Methods The clinical data of 122 obstetric sepsis patients from Jan.2013 to Apr.2025 were retrospectively analyzed.The patients were assigned to shock group(n=26)or non-shock group(n=96)based on whether they progressed to septic shock.Variables including age,body mass index,multiple pregnancy,sequential organ failure assessment(SOFA)score,organ dysfunction status,white blood cell count(WBC),neutrophil count(NEU),neutrophil ratio,platelet count,procalcitonin,C-reactive protein,lactate(Lac),and D-dimer were recorded.Multivariate logistic regression analysis was used to identify the independent risk factors for obstetric septic shock.The predictive efficacy of these factors was evaluated using receiver operating characteristic(ROC)curve analysis.Results The proportions of patients aged≥35 years,and those with respiratory,cardiac,or central nervous system dysfunction,were significantly higher in the shock group than in the non-shock group,and the SOFA score,WBC,NEU,neutrophil ratio and Lac level were significantly higher in the shock group(all P＜0.05).Multivariate logistic regression analysis showed that increased NEU(odds ratio[OR]=1.093,95%confidence interval[CI]1.022-1.169,P=0.010)and age≥35 years(OR=3.433,95%CI 1.112-10.602,P=0.032)were independent risk factors for obstetric septic shock.ROC curve analysis showed that NEU had predictive value for obstetric septic shock(area under curve=0.741,95%CI 0.634-0.848),with an optimal cut-offvalue of 17.17×109/L.Conclusion Increased NEU and age≥35 years are independent risk factors for obstetric septic shock.NEU has predictive value for the development of obstetric septic shock and may serve as an important indicator for clinical assessment and timely treatment.

ObjectiveTo construct a large language model （LLM）-based intelligent pre-consultation system for traditional Chinese medicine （TCM） to improve efficacy of clinical practice. MethodsA TCM large language model was fine-tuned using DeepSpeed ZeRO-3 distributed training strategy based on YAYI 2-30B. A weighted undirected graph network was designed and an agent-based syndrome differentiation model was established based on relationship data extracted from TCM literature and clinical records. An agent collaboration framework was developed to integrate the TCM LLM with the syndrome differentiation model. Model performance was comprehensively evaluated by Loss function， BLEU-4， and ROUGE-L metrics， through which training convergence， text generation quality， and language understanding capability were assessed. Professional knowledge test sets were developed to evaluate system proficiency in TCM physician licensure content， TCM pharmacist licensure content， TCM symptom terminology recognition， and meridian identification. Clinical tests were conducted to compare the system with attending physicians in terms of diagnostic accuracy， consultation rounds， and consultation duration. ResultsAfter 100 000 iterations， the training loss value was gradually stabilized at about 0.7±0.08， indicating that the TCM-LLM has been trained and has good generalization ability. The TCM-LLM scored 0.38 in BLEU-4 and 0.62 in ROUGE-L， suggesting that its natural language processing ability meets the standard. We obtained 2715 symptom terms， 505 relationships between diseases and syndromes， 1011 relationships between diseases and main symptoms， and 1 303 600 relationships among different symptoms， and constructed the Agent of syndrome differentiation model. The accuracy rates in the simulated tests for TCM practitioners， licensed pharmacists of Chinese materia medica， recognition of TCM symptom terminology， and meridian recognition were 94.09%， 78.00%， 87.50%， and 68.80%， respectively. In clinical tests， the syndrome differentiation accuracy of the system reached 88.33%， with fewer consultation rounds and shorter consultation time compared to the attending physicians （P＜0.01）， suggesting that the system has a certain pre- consultation ability. ConclusionThe LLM-based intelligent TCM pre-diagnosis system could simulate diagnostic thinking of TCM physicians to a certain extent. After understanding the patients' natural language， it collects all the patient's symptom through guided questioning， thereby enhancing the diagnostic and treatment efficiency of physicians as well as the consultation experience of the patients.

Objective To investigate the needs of the main caregivers of patients with spinal cord injury following neurogenic bowel dysfunction to participate in the whole process of intestinal management.Methods Nine main caregivers of patients with spinal cord injury in Jiangsu Province Hospital from January to Decem-ber,2024 were selected with objective sampling method.They were investigated face-to-face semi-structured in-depth interviews,and the data were analyzed,summarized and extracted by Colaizzi 7-step analysis method.Results Three themes and eight sub-themes were extracted:the needs of professional knowledge and skills standards in intestinal management(lack of intestinal training knowledge,lack of ability to acquire knowledge and different standards of medical institutions);the needs of physical ability and decision making ability participating in intesti-nal training(lack of participation,single decision-making behavior,excessive dependence on medical personnel);the desire for therapeutic benefits and the needs for building psychological confidence(concerns about the pa-tient's prognosis,overdependence on medication).Conclusion Clinical medical staff should pay attention to the actual needs and difficulties faced by the main caregivers of patients with neurogenic bowel dysfunction to participate in the entire intestinal management,and construct targeted training programs,strengthen the skills and knowledge training,to enhance their autonomy and responsi-bility,to achieve the rehabilitation goal better.

Objective:To investigate the drug resistance of newly diagnosed HIV-1 infected patients in Shanghai and to provide reference value for clinical antiretroviral therapy (ART).Methods:The peripheral venous blood plasma of 196 newly diagnosed HIV-1 infected patients screened according to the inclusion and exclusion criteria at the Shanghai Public Health Clinical Center from April to June 2023 was collected, HIV-1 RNA was extracted, the pol region was amplified by reverse transcription-polymerase chain reaction (RT-PCR) for sequencing, the mutation sites and ART drug resistance were analyzed.Results:The plasma of 196 newly diagnosed HIV-1 infected patients was amplified successfully in 162 cases (amplification success rate was 82.65%). The subtypes consisted of CRF07_BC(51.23%), CRF01_AE (27.78%), and others (6.79%), CRF55_01B (5.56%), B (3.70%), CRF01_AE/B (3.70%) and CRF08_BC (1.23%). The overall transmitted drug resistance rate was 7.41%, the protease inhibitors (PIs), non-nucleoside/nucleotide reverse transcriptase inhibitors (NNRTIs), nucleoside/nucleotide reverse transcriptase inhibitors (NRTIs), integrase inhibitors (INSTIs) resistance rates were 3.09%, 3.70%, 0.00% and 0.62%, respectively. The proportion of NNRTIs-related mutation sites in B (66.67%) and CRF55_01B (88.89%) was higher than that in CRF07_BC (13.25%); the proportion of NNRTIs-related mutation sites in CRF55_01B (88.89%) was higher than that in CRF01_AE (22.22%) and other subtypes (18.18%), the difference was statistically significant (all P<0.05). Multivariate logistic regression analysis showed that the probability of PIs-related mutation sites in CRF01_AE/B was 21.71 times that of CRF07_BC[odds ratio ( OR)=21.71, 95% confidence interval ( CI): 3.36-140.27, P=0.001]. Conclusions:The transmitted drug resistance among newly diagnosed HIV-1 infected patients in Shanghai is at the moderate epidemic level, mainly NNRTIs and PIs-related drug resistance, and the INSTIs resistance rate is low, the use of INSTIs in ART regimens should be considered.

Objective:To construct a communication skills assessment scale for newly employed nurses, verify the reliability and validity of the scale in a simulated setting, and develop and construct an effective and structured assessment tool for the communication skills of newly employed nurses.Methods:The Chinese version of the Liverpool Communication Skills Assessment Scale was modified and two rounds of expert consultation were conducted to construct the communication skills assessment scale for newly employed nurses. A total of 194 newly employed nurses at a tertiary hospital between 2024 and 2025 were selected using convenience sampling. Data were collected using a teacher-based evaluation method during simulated communication scenarios. The performance of the nurses was scored, and the reliability and validity of the scale were analyzed.Results:The final version of the scale consisted of 4 dimensions and 11 items, and can be used in both workplace-based and simulation-based evaluations. The expert authority coefficients of both rounds were greater than 0.70. The Kendall's W coordination coefficients for the two rounds of consultation were 0.278 and 0.309 for workplace-based evaluations and 0.256 and 0.295 for simulation-based evaluations. The coefficients of variation for the 11 items in both application scenarios were <0.250. The total Cronbach's alpha coefficient of the scale was 0.805 and the total split-half reliability coefficient was 0.814. In the two application scenarios, the item-level content validity index ranged from 0.769 to 1.000 (all >0.750). The scale-level content validity index was 0.916 and 0.909 (>0.900), respectively, in the workplace-based and simulation-based evaluations. The exploratory factor analysis extracted a total of four common factors, with a cumulative variance contribution of 69.09%, and all item loadings on their corresponding factors exceeded 0.500. Conclusions:The communication skills assessment scale for newly employed nurses has moderate and validated content and number of items. The scale demonstrates high reliability and validity in simulation-based evaluations, and can be used as an effective tool for assessing the communication skills of newly employed nurses.

Objective To explore the predictive value of systemic immune-inflammation index(SII)and control of nutritional status(CONUT)score for the efficacy of immune combined chemotherapy in patients with advanced or recurrent gastric cancer.Methods A retrospective analysis was conducted on the clinical data of 143 patients with advanced or recurrent gastric cancer who underwent immune combined chemotherapy as a treatment regimen at Huangshan People's Hospital from January 2020 to December 2023.The patients were divided into a disease control group(n=105)and a disease non-control group(n=38)according to the response evaluation criteria in solid tumor(RECIST).The CONUT score and SII levels between the two groups were compared.Multivariate Logistic regression analysis was used to identify the factors influencing the efficacy of immune combined chemotherapy in patients with advanced or recurrent gastric cancer.Receiver operating characteristic(ROC)curves were employed to predict the value of pre-treatment CONUT score,SII,and their combination in predicting the efficacy of immune-combined chemotherapy for advanced or recurrent gastric cancer.Results The CONUT score(2.8±0.5)and SII level(1 073.64±141.26)in the disease control group under than those in the disease non-control group(3.3±0.7,1 183.27±186.34),and the differences were statistically significant(t=4.721,3.751,all P<0.05).Multivariate Logistic regression analysis revealed that age,degree of differentiation,maximum diameter of measurable lesions,CONUT score,and SII were all factors influencing the treatment outcome in patients with advanced or recurrent gastric cancer(Wald χ2=5.161～22.758,all P<0.05).The ROC curve results showed that the AUC(95%CI)for pre-treatment CONUT score,SII,and their combination in predicting the efficacy of immuno chemotherapy in patients with advanced or recurrent gastric cancer were 0.746(0.667～0.815),0.839(0.768～0.895)and 0.875(0.809～0.924),respectively,with sensitivities of 73.11%,76.32%and 79.68%,and specificities of 91.43%,82.86%and 84.75%,respectively.Conclusion CONUT score and SII are influencing factors for the efficacy of immuno-combined chemotherapy in patients with advanced or recurrent gastric cancer,and their combination demonstrates good predictive value for the treatment outcome.

Background:The incidence and mortality rates of severe acute pancreatitis(SAP)have been increasing year by year.Therefore,early and rapid identification,along with timely intervention in the progression of acute pancreatitis(AP),is of particular importance.Aims:To explore the value of red blood cell distribution width(RDW)combined with BISAP score in the early prediction of SAP.Methods:A total of 561 AP patients admitted from January 2019 to December 2021 at the General Hospital of the Central Theater Command of the PLA were enrolled and divided into SAP group and non-SAP group according to the disease severity.Venous blood samples were collected within 24 hours of admission.The relevant clinical data,laboratory indices,BISAP score,and MCTSI score were compared between the two groups.Logistic regression analysis was used to identify the risk factors for SAP.Spearman correlation coefficient was employed to assess the correlation of these risk factors with the severity of AP,as well as the correlation of RDW with BISAP score and MCTSI score.The predictive values of these risk factors for SAP were evaluated by ROC curve analysis.Results:Compared with the non-SAP group,the prevalence of hypertension,length and cost of hospital stay,neutrophil count(NEUT),neutrophil-to-lymphocyte ratio(NLR),RDW,serum potassium,aspartate transaminase(AST),blood urea nitrogen(BUN),serum creatinine(SCr),BISAP score and MCTSI score were significantly increased in the SAP group(all P<0.05),while the lymphocyte count(LYM),serum calcium and albumin(ALB)were significantly decreased(all P<0.05).RDW(OR=1.582,95%CI:1.066-2.348,P=0.023),SCr(OR=1.018,95%CI:1.001-1.035,P=0.040),BISAP score(OR=6.210,95%CI:3.121-12.356,P<0.001),and MCTSI score(OR=2.917,95%CI:2.160-3.939,P<0.001)were the independent risk factors for SAP.RDW(rs=0.320,P<0.001),SCr(rs=0.103,P=0.015),BISAP score(rs=0.516,P<0.001),and MCTSI score(rs=0.512,P<0.001)were positively correlated with the severity of AP.Moreover,RDW was positively correlated with BISAP score(rs=0.428,P<0.001)and MCTSI score(rs=0.408,P<0.001).ROC curve analysis revealed that the areas under the ROC curve of RDW,SCr,BISAP score,MCTSI score,and combination of RDW and BISAP score for predicting SAP were 0.753,0.581,0.889,0.888,and 0.905,respectively.Conclusions:RDW,SCr,BISAP score,and MCTSI score are the independent risk factors for SAP.RDW combined with BISAP score can enhance the predictive value for SAP.