Based on LI Gao's Academic Thought， focusing on the process of qi transformation and taking the regulation and restoration of metabolism and immunity as the entry point， a "source-pivot-convergence" diagnostic and therapeutic model for malignant tumors is constructed. In this model， spleen and stomach internal injury is the source of malignant tumor occurrence， while the disorder of ascending and descending is the pivot of the disease development， and the generation of yin fire is the convergence of malignant tumor progression. Based on this， the three major therapeutic methods of clearing the source， harmonizing the pivot， and resolving the convergence are established. To fortify spleen and boost qi， consolidate the root and clear the source， modified Buzhong Yiqi Decoction（补中益气汤）can be used. To raise the clear and direct the turbid downward， regulate qi and harmonize the pivot， modified Shengyang Yiwei Decoction （升阳益胃汤） is suggested. To restore balance and promote circulation， disperse accumulation and resolve convergence， modified Shengyang Sanhuo Decoction （升阳散火汤） is selected. In clinical practice， these formulas can be used in combination according to the complexity of the pathogenesis， and further adapted with prescriptions for promoting dispersion and penetrating pathogenic factors， resolving phlegm and promoting circulation， activating blood and eliminating concretions， which can provide a reference for the prevention and treatment of tumor diseases.

Based on LI Gao's Academic Thought， focusing on the process of qi transformation and taking the regulation and restoration of metabolism and immunity as the entry point， a "source-pivot-convergence" diagnostic and therapeutic model for malignant tumors is constructed. In this model， spleen and stomach internal injury is the source of malignant tumor occurrence， while the disorder of ascending and descending is the pivot of the disease development， and the generation of yin fire is the convergence of malignant tumor progression. Based on this， the three major therapeutic methods of clearing the source， harmonizing the pivot， and resolving the convergence are established. To fortify spleen and boost qi， consolidate the root and clear the source， modified Buzhong Yiqi Decoction（补中益气汤）can be used. To raise the clear and direct the turbid downward， regulate qi and harmonize the pivot， modified Shengyang Yiwei Decoction （升阳益胃汤） is suggested. To restore balance and promote circulation， disperse accumulation and resolve convergence， modified Shengyang Sanhuo Decoction （升阳散火汤） is selected. In clinical practice， these formulas can be used in combination according to the complexity of the pathogenesis， and further adapted with prescriptions for promoting dispersion and penetrating pathogenic factors， resolving phlegm and promoting circulation， activating blood and eliminating concretions， which can provide a reference for the prevention and treatment of tumor diseases.

OBJECTIVE To investigate and analyze the pharmaceutical care needs of the elderly， thus providing a reference for improving the pharmaceutical care for the elderly. METHODS Based on the Kano model， a questionnaire was designed， and 1 200 community-dwelling elderly in the main urban area of Chongqing were selected as the survey subjects. The study analyzed the attributes and urgency of their pharmaceutical care needs to put forward optimization strategies. RESULTS A total of 1 200 questionnaires were distributed in the study， and 1 062 valid questionnaires were collected， with an effective response rate of 88.50%. The gender distribution of respondents was relatively balanced， with the majority aged between 60 and 69 （43.41%）， and generally possessing a relatively low level of educational attainment. The results showed that medication education and medication consultation were must-be needs； home-based pharmaceutical care was an expected need； drug reorganization， medication monitoring， pharmaceutical science popularization， and pharmaceutical ward round were attractive needs； internet-based pharmaceutical care was indifferent need. The urgent order of demand was medication education ＞ medication consultation ＞ home-based pharmaceutical care ＞ pharmaceutical science popularization ＞ drug reorganization ＞ medication monitoring ＞ pharmaceutical ward round ＞ internet-based pharmaceutical care. CONCLUSIONS The community elderly in Chongqing have high expectations for pharmaceutical care as a whole. Medical institutions should fully guarantee the two essential needs of medication education and medication consultation， and focus on ensuring the expected needs for home-based pharmaceutical care. Efforts should be made to develop the four attractive needs of pharmaceutical science popularization， drug reorganization， medication monitoring， and pharmaceutical ward round， and actively carry out age-friendly adaptations for internet-based pharmaceutical care.

Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.

Pre-admission is a critical initiative to optimize medical service processes and alleviate the challenge of "difficult access to healthcare. "However, there is currently a lack of standardized protocols for pre-admission procedures. This study aims to systematically analyze key nodes and risk factors in pre-admission process design and propose optimization strategies, providing a foundation for policy formulation and hospital practices. By constructing a "forward-reverse" dual-process model of pre-admission and identifying risk points based on stakeholder theory (patients, hospitals, healthcare administration, and insurance), the study reveals that while pre-admission can reduce the average length of stay, improve bed turnover rates, and enhance patient satisfaction, it also presents risks such as cross-period financial settlement, challenges in insurance policy adaptability, demands for information system integration, and the need for defining medical safety boundaries. To optimize the pre-admission process and mitigate these risks, this study explores framework improvements in areas including eligibility criteria, mode selection, cost settlement, transition between pre-admission and inpatient status, and cancellation of pre-admission, offering practical guidance for public hospitals. The authors argue that pre-admission requires tripartite collaboration among hospitals, insurers, and healthcare administrations: hospitals should establish top-level design, continuously refine processes, and implement dynamic risk assessment mechanisms; insurance providers should support cross-period settlement policies; and healthcare administrations should issue guiding policies or standardized protocols. Through multi-department coordination and collaborative efforts, the optimization and innovation of pre-admission processes can be advanced, ultimately delivering more efficient and convenient healthcare experiences for patients.

Objectives:This study aims to investigate the incidence,characteristics and clinical outcomes of vagal response(VR)during pulmonary vein isolation(PVI).Methods:A total of 702 patients with nonvalvular atrial fibrillation(AF)who received the first PVI radiofrequency ablation in Central China Fuwai Hospital from January 2022 to December 2023 were consecutively enrolled.PVI was initiated from right superior pulmonary vein(RSPV),followed by other pulmonary veins(PVs).The VR was defined as atrioventricular block(AVB),asystole or a 50%increase in the RR interval.Results:Among 702 patients with AF,380 patients(54.1%)were paroxysmal AF and 322 patients(45.9%)were persistent AF.77 patients(11.0%)developed 81 VR episodes,which were more common in paroxysmal group than in persistent AF group(19.5%vs.0.9%,P<0.001).VR manifestations included 51 sinus arrest(63.0%),26 sinus bradycardia(32.1%),and 4 atrioventricular block(AVB,4.9%).Most VR episodes were observed in the left superior ganglionated plexi(67[82.7%]).Paroxysmal AF(OR=18.667,95%CI:6.638-52.491,P<0.001),body mass index(BMI)≥28.0 kg/m2(OR=2.361,95%CI:1.376-4.051,P=0.002)and left ventricular ejection fraction(LVEF)≥62.0%(OR=1.964,95%CI:1.119-3.447,P=0.019)were independent risk factors of VR.During a mean of(13.0±7.1)months follow up,among paroxysmal AF patients,6 patients(8.1%)with VR and 33 patients(10.8%)without VR experienced AF recurrence(P=0.496).Kaplan-Meier curves estimated that the AF-free survival rate was similar between VR group and non-VR group among paroxysmal AF patients(log-rank P=0.735).Conclusions:The most common sites of VR when initiating PVI from right RSPV occur in left superior ganglionated plexi.Paroxysmal AF,BMI≥28.0 kg/m2 and LVEF≥62.0%are independent risk factors of VR.VR does not affect AF-free survival.

Objective:To investigate the expression pattern of pan-TRK protein in colorectal cancers with NTRK gene fusion and mismatch repair deficient (dMMR) and to analyze its molecular pathological characteristics.Methods:A total of 117 dMMR colorectal cancers diagnosed in the Department of Pathology of Henan Provincial People′s Hospital, Zhengzhou, China from 2020 to 2023 were collected. Immunohistochemistry (IHC), fluorescence in situ hybridization (FISH) and DNA/RNA-based next-generation sequencing (NGS) were used to detect pan-TRK protein expression and fusion partner genes in tumors, and to further explore the correlation between pan-TRK staining patterns and partner genes.Results:IHC and FISH were performed successfully in formalin-fixed paraffin-embedded tissues from 117 dMMR colorectal cancer patients. There were 15 (15/117, 12.8%) cases with positive pan-TRK, including 6 cases with strong staining in tumor cell membrane and cytoplasm, 2 cases with weakly granular staining in tumor cytoplasm, 2 cases with moderate dot-like staining in near 5% tumor cell nuclei, 1 case with moderately to strongly granular staining in the cytoplasm and membrane of tumor cells, 1 case with moderately to weakly granular staining in about 60% of the tumor cells, 1 case with strongly staining in about 1% of the tumor cells, 1 case with moderately to strongly staining in about 3% of the tumor cells and 1 case with diffuse, moderate para-nuclear dot-like and weakly perinuclear granular staining. NTRK1 gene disruption was detected in 6 cases (6/117, 5.1%) and consistent with diffusely strong expression of pan-TRK. Based on DNA/RNA NGS, it was further confirmed that the 6 cases with NTRK1 gene disruption all carried TPM3-NTRK1 fusion gene, and all had high microsatellite instability and high tumor mutation burden. No KRAS, NRAS, BRAF V600E or TP53 gene mutations were detected. Four patients carried frame shift mutations in RNF43. Other molecular changes included 3 cases with ROS1 gene mutation, 2 cases with BRAC, ALK, and EGFR gene mutations, 2 cases with ATM gene mutation, and 2 cases with KIT gene mutation. These were missense/frame shift mutations that were associated with no clinical significance. The nine pan-TRK-positive cases without NTRK gene fusion detected with DNA-based NGS were further confirmed with RNA-based NGS, and no NTRK gene fusion was found. The sensitivity and specificity of NTRK gene fusion detected using IHC were 100.0% and 92.5%, respectively. The sensitivity and specificity of diffusely strong membranous/cytoplasmic staining were both 100.0%.Conclusions:Pan-TRK protein has various expression patterns in dMMR colorectal cancer. Its diffusely strong expression is highly suggestive of NTRK1 gene fusion. TPM3-NTRK1 gene fusion is a common form of NTRK gene fusion in dMMR colorectal cancer.

Chronic stress triggers the imbalance of the homeostasis of the tumor immune microenvironment(TIME),which is a key factor driving the development of lung cancer.Based on the mapping relationship between the concept of"spirit"in traditional Chinese medicine and chronic stress,and between"qi"and"immunity",it is believed that the cross-linking mechanism of"chronic stress-TIME-lung cancer"aligns with the understanding of traditional Chinese medicine of disease as involving the interplay between the"body,qi and spirit".The disorganization of"spirit"and"qi"is not only the root of the change of the"form",but also the key to prevent and control it.The treatment principle of synergizing to improve the chronic stress of"regulating the spirit"and remodeling the TIME of"invigorating the qi"is further proposed,which emphasizes on grasping the core pathogenesis of lung cancer at each stage of its evolution in order to administer medicines,drawing on the clinical experience and pharmacological research results in order to accurately hit the target,and combining special therapies like acupuncture,Chinese kungfu,sound therapy to treat the change of"shape"by modulating neuro-endocrine-immune network homeostasis,so as to provide new ideas and accessible solutions for the comprehensive prevention and treatment system of lung cancer.

Objective:To investigate the association between different sleep patterns and anxiety and depression in hemodialysis patients, thereby providing a reference for improving their psychological and sleep conditions.Methods:This study was a cross-sectional survey.A convenience sampling method was used to select patients undergoing regular dialysis at a hemodialysis centre in the Sixth People's Hospital of Huizhou from May 2023 to May 2024. Sleep quality, anxiety and depression symptoms were assessed using the Pittsburgh Sleep Quality Index (PSQI), Self-rating Anxiety Scale for (SAS) and Self-rating Depression Scale (SDS). Potential profiles were analyzed using Mplus 8.3 and mixed-effects Logistic regression was used to explore the association between sleep pattern category and anxiety-depression.Results:A total of 264 valid questionnaires were returned, of which 142 were males and 122 were females, aged (56.61 ± 12.69) years old. The sleep patterns of hemodialysis patients were divided into three potential categories:patients with overall better sleep quality31.4%(83/264), patients with poor sleep using hypnotic medication12.9%(34/264), and patients with poor sleep without hypnotic medication 55.7%(147/264). Significant differences were found in age, education, anxiety and depression across different sleep categories ( χ2 values were 9.75-25.72, all P<0.05). Compared with the group with overall better sleep quality, the risk of anxiety was higher in the group with sleep difficulties without hypnotic medication ( OR=5.409, P<0.05), and the risk of anxiety and depression ( OR=5.010, 6.488, both P<0.05) was higher in the group with sleep disorders using hypnotic medication. Compared with patients with poor sleep without hypnotic medication, patients with poor sleep using hypnotic medication had a higher risk of depression ( OR=6.501, P<0.05). Conclusions:There are three potential categories of sleep patterns in hemodialysis patients and significant correlations between them and anxiety and depression, and precise screening and individualized interventions need to be implemented in the clinic to improve patients' quality of life.

Objective:To investigate the expression pattern of pan-TRK protein in colorectal cancers with NTRK gene fusion and mismatch repair deficient (dMMR) and to analyze its molecular pathological characteristics.Methods:A total of 117 dMMR colorectal cancers diagnosed in the Department of Pathology of Henan Provincial People′s Hospital, Zhengzhou, China from 2020 to 2023 were collected. Immunohistochemistry (IHC), fluorescence in situ hybridization (FISH) and DNA/RNA-based next-generation sequencing (NGS) were used to detect pan-TRK protein expression and fusion partner genes in tumors, and to further explore the correlation between pan-TRK staining patterns and partner genes.Results:IHC and FISH were performed successfully in formalin-fixed paraffin-embedded tissues from 117 dMMR colorectal cancer patients. There were 15 (15/117, 12.8%) cases with positive pan-TRK, including 6 cases with strong staining in tumor cell membrane and cytoplasm, 2 cases with weakly granular staining in tumor cytoplasm, 2 cases with moderate dot-like staining in near 5% tumor cell nuclei, 1 case with moderately to strongly granular staining in the cytoplasm and membrane of tumor cells, 1 case with moderately to weakly granular staining in about 60% of the tumor cells, 1 case with strongly staining in about 1% of the tumor cells, 1 case with moderately to strongly staining in about 3% of the tumor cells and 1 case with diffuse, moderate para-nuclear dot-like and weakly perinuclear granular staining. NTRK1 gene disruption was detected in 6 cases (6/117, 5.1%) and consistent with diffusely strong expression of pan-TRK. Based on DNA/RNA NGS, it was further confirmed that the 6 cases with NTRK1 gene disruption all carried TPM3-NTRK1 fusion gene, and all had high microsatellite instability and high tumor mutation burden. No KRAS, NRAS, BRAF V600E or TP53 gene mutations were detected. Four patients carried frame shift mutations in RNF43. Other molecular changes included 3 cases with ROS1 gene mutation, 2 cases with BRAC, ALK, and EGFR gene mutations, 2 cases with ATM gene mutation, and 2 cases with KIT gene mutation. These were missense/frame shift mutations that were associated with no clinical significance. The nine pan-TRK-positive cases without NTRK gene fusion detected with DNA-based NGS were further confirmed with RNA-based NGS, and no NTRK gene fusion was found. The sensitivity and specificity of NTRK gene fusion detected using IHC were 100.0% and 92.5%, respectively. The sensitivity and specificity of diffusely strong membranous/cytoplasmic staining were both 100.0%.Conclusions:Pan-TRK protein has various expression patterns in dMMR colorectal cancer. Its diffusely strong expression is highly suggestive of NTRK1 gene fusion. TPM3-NTRK1 gene fusion is a common form of NTRK gene fusion in dMMR colorectal cancer.