ObjectiveChinese patent medicines for cardiovascular and cerebrovascular diseases are diverse and complex in their efficacy. The traditional classification method based on efficacy categories has certain limitations and cannot meet the clinical needs for individualized drug selection and variety comparison. This article， based on the formulation compatibility analysis technology of "Tangye Jingfa Tu"， clarifies the composition and efficacy characteristics of common Chinese patent medicines used for cardiovascular and cerebrovascular diseases， providing support for the precise selection of these medicines. MethodsFifty-six representative Chinese patent medicines， covering all the efficacy subcategories of "stasis-resolving agents" in the National Basic Medical Insurance， Work Injury Insurance， and Maternity Insurance Drug Catalogue （2023） （more than 50% of the total）， were selected for the study. Within the knowledge system of "Tangye Jingfa Tu"， the compatibility structure of herbal flavors and the proportion structure of herbal quantities for each Chinese patent medicine were determined. The correlation between these structures and the efficacy categories was analyzed to identify the similarities and differences among the selected Chinese patent medicines. Additionally， the efficacy was reclassified and compared according to the theoretical framework of tonifying and purging methods of five Zang organs in the "Tangye Jingfa Tu". ResultsThe representative Chinese patent medicines included in the analysis were Shexiang Baoxin pills， Danshen tablets， Qili Qiangxin capsules， Breviscapine tablets， etc.， covering all the efficacy subcategories of "stasis-resolving agents". Among the 56 representative Chinese patent medicines， salty flavor was the most common （48）， followed by pungent （33）， and sweet （26）. According to the dominant herbal flavor， salty flavor was the most common （37）， followed by pungent （9）， and sour （5）. According to the dominant herbal quantity， salty flavor was the most common （27）， followed by sour （7）， and pungent （5）. Furthermore， Chinese patent medicines with different efficacy subtypes showed different flavor characteristics. For example， most Qi-invigorating and blood-activating agents contained sweet drugs for tonifying the spleen （9/10）， most Qi-moving and blood-activating agents contained pungent drugs for tonifying the liver （7/8）， and all kidney-invigorating and blood-activating agents contained bitter drugs for tonifying the kidneys （6/6）. However， the efficacy classification of individual medicines did not always align with the compatibility characteristics of their formulas， as seen with Dengyin Naotong capsules. ConclusionThe formulations of Chinese patent medicines for cardiovascular and cerebrovascular diseases predominantly feature salty， sour， and pungent flavors， which largely conform to the therapeutic principles of "nourishing the heart with salt and soothing the heart with sour" and the liver-heart， heart-spleen mother-child treatment relationship shown in the "Tangye Jingfa Tu". Using the "Tangye Jingfa Tu" framework to conduct research on the structure and efficacy characteristics of Chinese patent medicines is objective and effective.

ObjectiveChinese patent medicines for cardiovascular and cerebrovascular diseases are diverse and complex in their efficacy. The traditional classification method based on efficacy categories has certain limitations and cannot meet the clinical needs for individualized drug selection and variety comparison. This article， based on the formulation compatibility analysis technology of "Tangye Jingfa Tu"， clarifies the composition and efficacy characteristics of common Chinese patent medicines used for cardiovascular and cerebrovascular diseases， providing support for the precise selection of these medicines. MethodsFifty-six representative Chinese patent medicines， covering all the efficacy subcategories of "stasis-resolving agents" in the National Basic Medical Insurance， Work Injury Insurance， and Maternity Insurance Drug Catalogue （2023） （more than 50% of the total）， were selected for the study. Within the knowledge system of "Tangye Jingfa Tu"， the compatibility structure of herbal flavors and the proportion structure of herbal quantities for each Chinese patent medicine were determined. The correlation between these structures and the efficacy categories was analyzed to identify the similarities and differences among the selected Chinese patent medicines. Additionally， the efficacy was reclassified and compared according to the theoretical framework of tonifying and purging methods of five Zang organs in the "Tangye Jingfa Tu". ResultsThe representative Chinese patent medicines included in the analysis were Shexiang Baoxin pills， Danshen tablets， Qili Qiangxin capsules， Breviscapine tablets， etc.， covering all the efficacy subcategories of "stasis-resolving agents". Among the 56 representative Chinese patent medicines， salty flavor was the most common （48）， followed by pungent （33）， and sweet （26）. According to the dominant herbal flavor， salty flavor was the most common （37）， followed by pungent （9）， and sour （5）. According to the dominant herbal quantity， salty flavor was the most common （27）， followed by sour （7）， and pungent （5）. Furthermore， Chinese patent medicines with different efficacy subtypes showed different flavor characteristics. For example， most Qi-invigorating and blood-activating agents contained sweet drugs for tonifying the spleen （9/10）， most Qi-moving and blood-activating agents contained pungent drugs for tonifying the liver （7/8）， and all kidney-invigorating and blood-activating agents contained bitter drugs for tonifying the kidneys （6/6）. However， the efficacy classification of individual medicines did not always align with the compatibility characteristics of their formulas， as seen with Dengyin Naotong capsules. ConclusionThe formulations of Chinese patent medicines for cardiovascular and cerebrovascular diseases predominantly feature salty， sour， and pungent flavors， which largely conform to the therapeutic principles of "nourishing the heart with salt and soothing the heart with sour" and the liver-heart， heart-spleen mother-child treatment relationship shown in the "Tangye Jingfa Tu". Using the "Tangye Jingfa Tu" framework to conduct research on the structure and efficacy characteristics of Chinese patent medicines is objective and effective.

BACKGROUND: The effect of the interval between previous Helicobacter pylori (H. pylori) eradication and rescue treatment on therapeutic outcomes remains unknown. The aim of this study was to investigate the association between eradication rates and treatment interval durations in H. pylori infections. METHODS: This prospective observational study was conducted from December 2021 to February 2023 at six tertiary hospitals in Shandong, China. We recruited patients who were positive for H. pylori infection and required rescue treatment. Demographic information, previous times of eradication therapy, last eradication therapy date, and history of antibiotic use data were collected. The patients were divided into four groups based on the rescue treatment interval length: Group A, ≥4 weeks and ≤3 months; Group B, >3 and ≤6 months; Group C, >6 and ≤12 months; and Group D, >12 months. The primary outcome was the eradication rate of H. pylori . Drug compliance and adverse events (AEs) were also assessed. Pearson's χ2 test or Fisher's exact test was used to compare eradication rates between groups. RESULTS: A total of 670 patients were enrolled in this study. The intention-to-treat (ITT) eradication rates were 88.3% (158/179) in Group A, 89.6% (120/134) in Group B, 89.1% (123/138) in Group C, and 87.7% (192/219) in Group D. The per-protocol (PP) eradication rates were 92.9% (156/168) in Group A, 94.5% (120/127) in Group B, 94.5% (121/128) in Group C, and 93.6% (190/203) in Group D. There was no statistically significant difference in the eradication rates between groups in either the ITT ( P = 0.949) or PP analysis ( P = 0.921). No significant differences were observed in the incidence of AEs ( P = 0.934) or drug compliance ( P = 0.849) between groups. CONCLUSION: The interval duration of rescue treatment had no significant effect on H. pylori eradication rates or the incidence of AEs. REGISTRATION ClinicalTrials.gov , NCT05173493.
Humans ; Helicobacter Infections/drug therapy* ; Helicobacter pylori/pathogenicity* ; Male ; Female ; Prospective Studies ; Middle Aged ; Anti-Bacterial Agents/adverse effects* ; Adult ; Aged ; Treatment Outcome ; Proton Pump Inhibitors/therapeutic use*

BACKGROUND: Mild cognitive impairment (MCI) is common in atrial fibrillation (AF) patients and may develop earlier in those with multiple cardiovascular comorbidities, potentially impairing self-management and treatment adherence. This study aimed to characterize the prevalence and profile of MCI in AF patients, examine its associations with cardiovascular comorbidities, and assess how these comorbidities influence specific cognitive domains. METHODS: This cross-sectional study analyzed data from AF patients who underwent cognitive assessment between 2017 and 2021. Cognitive status was categorized as MCI or non-MCI based on the Montreal Cognitive Assessment. Associations between comorbidities and MCI were assessed by logistic regression, and cognitive domains were compared using the Mann-Whitney U test. RESULTS: Of 4136 AF patients (mean age: 64.7 ± 9.4 years, 64.7% male), 33.5% of patients had MCI. Among the AF patients, 31.2% of patients had coronary artery disease, 20.1% of patients had heart failure, and 18.1% of patients had hypertension. 88.7% of patients had left atrial enlargement, and 11.0% of patients had reduced left ventricular ejection fraction. Independent factors associated with higher MCI prevalence included older age (OR = 1.04, 95% CI: 1.03-1.05, P < 0.001), lower education level (OR = 1.51, 95% CI: 1.31-1.73, P < 0.001), hypertension (OR = 1.28, 95% CI: 1.07-1.52, P = 0.001), heart failure (OR = 1.24, 95% CI: 1.04-1.48, P = 0.020), and lower left ventricular ejection fraction (OR = 1.43, 95% CI: 1.04-1.98, P = 0.028). A higher CHA₂DS₂-VASc score (OR = 1.27, 95% CI: 1.22-1.33, P < 0.001; ≥ 2 points vs. < 2 points), and greater atherosclerotic cardiovascular disease burden (OR = 1.45, 95% CI: 1.02-2.08, P = 0.040; 2 types vs. 0 type) were linked to increased MCI risk. These above factors influenced various cognitive domains. CONCLUSIONS MCI is common in AF and closely associated with cardiovascular multimorbidity. Patients with multiple comorbidities are at higher risk, highlighting the importance of routine cognitive assessment to support self-management and integrated care.

Extracorporeal membrane oxygenation (ECMO) is primarily used in clinical practice to provide continuous extracorporeal respiratory and circulatory support for patients with severe heart and lung failure, thereby sustaining life. It is a key technology for managing severe heart failure and respiratory failure that are difficult to control. With the accumulation of clinical experience in ECMO for circulatory and/or respiratory support, as well as advancements in biomedical engineering technology, more portable and stable ECMO devices have been introduced into clinical use, benefiting an increasing number of critically ill patients. Although ECMO technology has become relatively mature, the timing of ECMO initiation, management of sudden complications, and monitoring and early warning of physiological indicators are critical factors that greatly affect the therapeutic outcomes of ECMO. This article reviews traditional methods and artificial intelligence techniques used in risk assessment related to ECMO, including the latest achievements and research hotspots. Additionally, it discusses future trends in ECMO risk management, focusing on six key areas: multi-center and prospective studies, external validation and standardization of model performance, long-term prognosis considerations, integration of innovative technologies, enhancing model interpretability, and economic cost-effectiveness analysis. This provides a reference for future researchers to build models and explore new research directions.
Extracorporeal Membrane Oxygenation ; Humans ; Artificial Intelligence ; Risk Assessment ; Respiratory Insufficiency/therapy* ; Heart Failure/therapy*

Objective To evaluate the acute exacerbation of chronic obstructive pulmonary disease(COPD)(AECOPD)status via combining clinical data,lung function parameters with CT radiomic features based on machine learning method.Methods A total of 343 COPD patients,including 158 AECOPD patients and 185 non-AECOPD patients were retrospectively selected and randomly divided into training and testing sets at a ratio of 7∶3.The radiomics features were calculated after automatically delineating the whole lung volume of interest(VOI).Five machine learning methods were used to construct the AECOPD diagnostic model,then the corresponding Radiomics score(Rad-score)was calculated in the training set and was validated in the testing set.The logistic-combined model was established after integrating age,Global Initiative for Chronic Obstructive Lung Disease(GOLD)classification,vital capacity(VC),forced vital capacity(FVC),forced expiratory volume in one second(FEV1),FEV1％pred,FEV1/FVC％,peak expiratory flow(PEF),maximum ventilatory volume(MVV),and Rad-score value.The area under the curve(AUC)of receiver operating characteristic(ROC)curve was calculated to evaluate the evaluated performance of all models.Results The logistic regression model had the best diagnostic performance,with AUC of 0.724 and 0.758 in the training and testing sets,respectively.The performance of the logistic-combined model to diagnose AECOPD was superior to that of the single logistic regression model,with the AUC of 0.777 and 0.760 in the training and testing sets,respectively.Conclusion A combination strategy including clinical data,lung function parameters,and CT radiomics may be helpful to diagnose AECOPD status,with moderate diagnostic performance.

Objective To investigate the clinical value of prophylactic high-flow nasal cannula oxygen therapy (HFNC) in reducing postoperative pulmonary complication (PPC) in elderly patients with non-small cell lung cancer (NSCLC). Methods The clinical data of elderly patients (over 60 years) with NSCLC who underwent video-assisted thoracoscopic lobectomy or segmental resection at the Department of Thoracic Surgery, Fujian Provincial Hospital from January 2021 to March 2022 were retrospectively analyzed. According to whether receiving HFNC after surgery, they were divided into a conventional oxygen therapy (CO) group and a HFNC group. The CO group were matched with the HFNC group by the propensity score matching method at a ratio of 1 : 1. We compared PPC incidence, white blood cell (WBC) count, procalcitonin and C-reactive protein on postoperative day (POD) 1, 3 and 5 and postoperative hospital stay between the two groups. Results A total of 343 patients (165 males, 178 females, average age of 67.25±4.79 years) were enrolled, with 53 (15.45%) receiving HFNC. Before matching, there were statistical differences in gender, rate of combined chronic obstructive pulmonary disease, pathology type and TNM stage between the two groups (all P<0.05). There were 42 patients successfully matched in each of the two groups, with no statistical difference in baseline characteristics (P>0.05). After propensity score matching, the results showed that the PPC incidence in the HFNC group was lower than that in the CO group (23.81% vs. 45.23%, P=0.039). WBC count on POD 3 and 5 and procalcitonin level on POD 3 were less or lower in the HFNC group than those in the CO group [ (8.92±2.91)×109/L vs. (10.62±2.67)×109/L; (7.68±1.58)×109/L vs. (8.86±1.76)×109/L; 0.26 (0.25, 0.44) μg/L vs. 0.31 (0.25, 0.86) μg/L; all P<0.05]. There was no statistical difference in the other inflammatory indexes or the postoperative hospital stay between the two groups (P>0.05). Conclusion Prophylactic HFNC can reduce the PPC incidence and postoperative inflammatory indexes in elderly patients with NSCLC, but does not shorten the postoperative hospital stay.

ObjectiveTo explore the effect of virtual reality on upper limb function in stroke patients through diffusion tensor imaging (DTI). MethodsFrom September, 2021 to March, 2023, 80 stroke patients in the Fuzhou Second General Hospital were randomly divided into control group (n = 40) and experimental group (n = 40). Both groups received routine rehabilitation, while the experimental group received virtual reality training additionally, for four weeks. They were assessed with Fugl-Meyer Assessment-Upper Extremities (FMA-UE) and Action Research Arm Test (ARAT) before treatment, after treatment and after four-week follow-up; and they were scaned with DTI to measure the fractional anisotropy (FA) and relative anisotropy (RA) of cerebral peduncle and posterior limb of inner capsule of the affected side before and after treatment. ResultsTwo cases dropped in each group. The FMA-UE and ARAT scores increased in both groups after treatment and follow-up (F > 2.790, P < 0.001), and increased more in the experimental group than in the control group (t > 2.297, P < 0.05). FA and RA in the posterior limb of inner capsule increased in both groups after treatment (t > 21.013, P < 0.001), and increased more in the experimental group (t > 2.006, P < 0.05). The d-value of FA of the posterior limb of internal capsule before and after treatment (ΔFA) was positively correlated with the d-value of FMA-UE score (r > 0.362, P < 0.05) in both groups, the ΔFA of the posterior limb of internal capsule was positively correlated with the d-value of ARAT score (r = 0.459, P < 0.01). ConclusionVirtual reality training can promote the recovery of upper limb function in stroke patients, which may associate with the conductivity of posterior limb of inner capsule.

Objective:To retrospectively analyze the treatment status of tyrosine kinase inhibitors (TKI) in newly diagnosed patients with chronic myeloid leukemia (CML) in China.Methods:Data of chronic phase (CP) and accelerated phase (AP) CML patients diagnosed from January 2006 to December 2022 from 77 centers, ≥18 years old, and receiving initial imatinib, nilotinib, dasatinib or flumatinib-therapy within 6 months after diagnosis in China with complete data were retrospectively interrogated. The choice of initial TKI, current TKI medications, treatment switch and reasons, treatment responses and outcomes as well as the variables associated with them were analyzed.Results:6 893 patients in CP ( n=6 453, 93.6%) or AP ( n=440, 6.4%) receiving initial imatinib ( n=4 906, 71.2%), nilotinib ( n=1 157, 16.8%), dasatinib ( n=298, 4.3%) or flumatinib ( n=532, 7.2%) -therapy. With the median follow-up of 43 ( IQR 22-75) months, 1 581 (22.9%) patients switched TKI due to resistance ( n=1 055, 15.3%), intolerance ( n=248, 3.6%), pursuit of better efficacy ( n=168, 2.4%), economic or other reasons ( n=110, 1.6%). The frequency of switching TKI in AP patients was significantly-higher than that in CP patients (44.1% vs 21.5%, P<0.001), and more AP patients switched TKI due to resistance than CP patients (75.3% vs 66.1%, P=0.011). Multi-variable analyses showed that male, lower HGB concentration and ELTS intermediate/high-risk cohort were associated with lower cytogenetic and molecular responses rate and poor outcomes in CP patients; higher WBC count and initial the second-generation TKI treatment, the higher response rates; Ph + ACA at diagnosis, poor PFS. However, Sokal intermediate/high-risk cohort was only significantly-associated with lower CCyR and MMR rates and the poor PFS. Lower HGB concentration and larger spleen size were significantly-associated with the lower cytogenetic and molecular response rates in AP patients; initial the second-generation TKI treatment, the higher treatment response rates; lower PLT count, higher blasts and Ph + ACA, poorer TFS; Ph + ACA, poorer OS. Conclusion:At present, the vast majority of newly-diagnosed CML-CP or AP patients could benefit from TKI treatment in the long term with the good treatment responses and survival outcomes.

Objective To observe the value of habitat model based on lung CT for predicting brain metastasis(BM)of lung adenocarcinoma with epidermal growth factor receptor(EGFR)mutation.Methods Data of plain lung CT of 198 lung adenocarcinoma patients with EGFR-mutant were retrospectively analyzed.The patients were divided into training set(n=138)and test set(n=60)at the ratio of 7∶3,and further divided into BM subgroup and non-BM subgroup in each set.Then a logistic regression(LR)clinical model was constructed using variables being statistically different between subgroups in training set.For features extracted from tumor and subregion of tumor,radiomics models and habitat models were constructed based on random forest,Gaussian process(GP)and support vector machine(SVM)algorithms,and the best radiomics and habitat models with generalization ability were screened.LR combined model was constructed based on the predicted values of the best radiomics and habitat models with generalization ability,as well as the clinical model.Then receiver operating characteristic curves were drawn,and the area under the curves(AUC)were calculated to evaluate the efficacy of each model for predicting BM of lung adenocarcinoma with EGFR-mutant.Spearman correlation analysis was performed to observe the correlations between Ki-67 and habitat features of lung adenocarcinoma with EGFR-mutant.Results AUC of LR clinical model,GP radiomics model,SVM habitat model and LR combined model for predicting BM of lung adenocarcinoma with EGFR-mutant was 0.700,0.726,0.801 and 0.834 in training set,0.754,0.600,0.715 and 0.848 in test set,respectively.AUC of LR combined model was higher than that of LR clinical model in training set(P＜0.001),also higher than that of GP radiomics model in test set(P=0.010).Compared with GP radiomics model and SVM habitat model,the performance of LR combined model was significantly and positively improved in training set(integrated discrimination improvement index[IDI]=8.60%,8.55%,both P＜0.001).Ki-67 level of EGFR-mutant lung adenocarcinoma was lowly and positively correlated with habitatmap_original_glszm_lalgle extracted from habitat map(│rs│=0.201,P=0.004).Conclusion The habitat model based on lung CT could be used to predict BM of lung adenocarcinoma with EGFR-mutant effectively.