To evaluate the clinical value of nebulized indocyanine green(ICG) combined with near-infrared fluorescence imaging for intraoperative detection of air leaks during pulmonary resection.

Objective On the basis of the theory of the tumor metastatic state, this work aims to explore the metastasis trajectories and peripheral immune response patterns in patients with non-small cell lung cancer (NSCLC) receiving vital qi-strengthening and toxin-eliminating therapy (Fuzheng Juandu) and reveal the value of peripheral immunity in assessing vital qi deficiency during metastasis. Methods A retrospective study design was adopted. Patients with NSCLC admitted from January 1, 2018, to October 31, 2025 were enrolled. Data on metastasis status and peripheral immune indices were collected at the follow-up time points of one, two, three, and five years. Group-based trajectory modeling was used to fit metastasis trajectories, and the independent predictors of trajectory grouping were analyzed through multifactor and multiclassification logistic regression. Results A total of 184 patients with NSCLC were included, and three different groups of metastasis trajectories were identified, namely, the low-risk stable (46.74%, n=86), low-risk rising (13.59%, n=25), and high-risk stable (39.67%, n=73) groups. Univariate analysis revealed substantial differences in peripheral immune indices among the three trajectory groups. Multivariate analysis showed that TNM stage, absolute neutrophil count, lymphocyte count, absolute monocyte count, platelet volume, SAA:CRP ratio, and NLR were independent predictors of the low-risk rising group, whereas TNM stage, absolute monocyte count, basophil count, SII, and NLR were independent predictors of the high-risk stable group. Conclusion Under Fuzheng Juandu therapy, patients with NSCLC exhibit three distinct metastasis trajectories, each corresponding to a specific peripheral immune response pattern. Elucidating these peripheral immune response patterns may facilitate the objective quantification of the degree of vital qi deficiency, prediction of future metastasis risk, and providing an important reference for the individualized clinical implementation of Fuzheng Juandu therapy.

This paper interprets the disease name related to bi （痹） disease in traditional Chinese medicine （TCM） from the perspective of micropathological phenotypes in knee osteoarthritis （KOA）. By systematically reviewing classical TCM literature on the pathogenesis and clinical features of different subtypes such as damp-retention bi， bone bi， and tendon bi， and integrating these with current research on pathological subtypes of KOA including the synovitis type， cartilage-meniscus type， and subchondral bone type， the study explores the correlation between traditional disease terms and modern micropathological phenotypes. The author proposes subtype classifications of damp-retention bi corresponding to synovial inflammation， bone bi related to abnormal subchondral bone remodeling， and tendon bi representing cartilage and meniscus degeneration. This approach provides a microscopic biological explanation for TCM syndrome differentiation and offers new perspectives for advancing integrative diagnostic and therapeutic strategies in both Chinese and western medicine.

Objective:To compare the clinical features of severe Mycoplasma pneumoniae pneumonia (SMPP) in pediatric intensive care units (PICU) before and after the COVID-19 pandemic.Methods:A retrospective study was conducted in the PICU of Shanghai Children's Hospital. Clinical and laboratory data were collected from medical records of SMPP patients admitted to the PICU before (January to December 2019) and after (March 2023 to February 2024) the COVID-19 pandemic. Patients admitted in 2019 were categorized as the pre-COVID-19 group, while those admitted in 2023-2024 were classified as the post-COVID-19 group.Results:A total of 287 children with SMPP were included, comprising 155 males and 132 females. The pre-pandemic group consisted of 180 cases, while the post-pandemic group had 107 cases. Macrolide-resistant Mycoplasma pneumoniae (MRMP) was detected in 270 cases (94.1%), with no significant difference in MRMP prevalence between the two groups [101 cases (94.4%) vs. 169 cases (93.9%), Z= 0.031, P = 0.861]. The median age of the post-pandemic group was higher than that of the pre-pandemic group [72 (42, 108) months vs. 42 (24, 68) months, Z= 6.438, P < 0.001].Comparisons of complications between the post-pandemic and pre-pandemic groups were as follows: pleural effusion [20 cases (18.7%) vs. 81 cases (45.0%), χ2=20.365, P< 0.001], shock [4 cases (3.7%) vs. 79 cases (43.9%), χ2=52.628, P< 0.001], gastrointestinal dysfunction [2 cases (1.9%) vs. 24 cases (13.3%), χ 2=9.359, P=0.002], liver dysfunction [9 cases (8.4%) vs. 46 cases (25.6%), χ2=12.733, P< 0.001], and renal injury [0 cases vs. 10 cases (5.6%), P=0.015].There was no significant difference in the incidence of respiratory failure [102 cases (95.3%) vs. 172 cases (95.6%), χ2=0.008, P=0.928]. However, the number of cases requiring high-flow oxygen therapy and mechanical ventilation was significantly lower in the post-pandemic group compared to the pre-pandemic group [14 cases (13.3%) vs. 48 cases (26.7%), 21 cases (20.3%) vs. 122 cases (67.8%), all P<0.05].The time from symptom onset to the initiation of tetracycline/quinolone therapy was shorter in the post-pandemic group compared to the pre-pandemic group [7 (3, 10) days vs. 9 (6.3, 11) days, χ2=-3.565, P< 0.001]. The proportion of patients who had already received tetracycline/quinolone therapy before admission to the PICU was significantly higher in the post-pandemic group compared to the pre-pandemic group [25 cases (23.4%) vs. 2 cases (1.1%), χ 2=10.009, P=0.002].Both the total hospital stay and PICU stay were shorter in the post-pandemic group compared to the pre-pandemic group [10.0 (8.0, 14.0) days vs. 15.5 (12.0, 22.0) days, 5 (3.0, 8.0) days vs. 7.0 (5.0, 10.0) days, all P=0.000]. All 7 deaths occurred in the pre-pandemic group, including 5 cases with co-infections and 2 cases with underlying diseases. Conclusions:In the post-COVID-19 era, SMPP cases in the PICU were predominantly observed in children over 5 years old, with a lower incidence of shock, gastrointestinal disorders, liver injury, and kidney injury compared to the pre-pandemic period. Patients with macrolide-resistant Mycoplasma pneumoniae who received timely treatment with tetracycline/quinolones exhibited favorable outcomes.

BACKGROUND: Neoadjuvant chemoradiotherapy followed by radical surgery has been a common practice for patients with locally advanced rectal cancer, but the response rate varies among patients. This study aimed to develop a ResNet-Vision Transformer based magnetic resonance imaging (MRI)-endoscopy fusion model to precisely predict treatment response and provide personalized treatment. METHODS: In this multicenter study, 366 eligible patients who had undergone neoadjuvant chemoradiotherapy followed by radical surgery at eight Chinese tertiary hospitals between January 2017 and June 2024 were recruited, with 2928 pretreatment colonic endoscopic images and 366 pelvic MRI images. An MRI-endoscopy fusion model was constructed based on the ResNet backbone and Transformer network using pretreatment MRI and endoscopic images. Treatment response was defined as good response or non-good response based on the tumor regression grade. The Delong test and the Hanley-McNeil test were utilized to compare prediction performance among different models and different subgroups, respectively. The predictive performance of the MRI-endoscopy fusion model was comprehensively validated in the test sets and was further compared to that of the single-modal MRI model and single-modal endoscopy model. RESULTS: The MRI-endoscopy fusion model demonstrated favorable prediction performance. In the internal validation set, the area under the curve (AUC) and accuracy were 0.852 (95% confidence interval [CI]: 0.744-0.940) and 0.737 (95% CI: 0.712-0.844), respectively. Moreover, the AUC and accuracy reached 0.769 (95% CI: 0.678-0.861) and 0.729 (95% CI: 0.628-0.821), respectively, in the external test set. In addition, the MRI-endoscopy fusion model outperformed the single-modal MRI model (AUC: 0.692 [95% CI: 0.609-0.783], accuracy: 0.659 [95% CI: 0.565-0.775]) and the single-modal endoscopy model (AUC: 0.720 [95% CI: 0.617-0.823], accuracy: 0.713 [95% CI: 0.612-0.809]) in the external test set. CONCLUSION The MRI-endoscopy fusion model based on ResNet-Vision Transformer achieved favorable performance in predicting treatment response to neoadjuvant chemoradiotherapy and holds tremendous potential for enabling personalized treatment regimens for locally advanced rectal cancer patients.
Humans ; Rectal Neoplasms/diagnostic imaging* ; Magnetic Resonance Imaging/methods* ; Male ; Female ; Middle Aged ; Neoadjuvant Therapy/methods* ; Aged ; Adult ; Chemoradiotherapy/methods* ; Endoscopy/methods* ; Treatment Outcome

OBJECTIVE: As an age-related neurodegenerative disease, the prevalence of mild cognitive impairment (MCI) increases with age. Within the framework of traditional Chinese medicine, spleen-kidney deficiency syndrome (SKDS) is recognized as the most frequent MCI subtype. Due to the covert and gradual onset of MCI, in community settings it poses a significant challenge for patients and their families to discern between typical aging and pathological changes. There exists an urgent need to devise a preliminary diagnostic tool designed for community-residing older adults with MCI attributed to SKDS (MCI-SKDS). METHODS: This investigation enrolled 312 elderly individuals diagnosed with MCI, who were randomly distributed into training and test datasets at a 3:1 ratio. Five machine learning methods, including logistic regression (LR), decision tree (DT), naive Bayes (NB), support vector machine (SVM), and gradient boosting (GB), were used to build a diagnostic prediction model for MCI-SKDS. Accuracy, sensitivity, specificity, precision, F1 score, and area under the curve were used to evaluate model performance. Furthermore, the clinical applicability of the model was evaluated through decision curve analysis (DCA). RESULTS: The accuracy, precision, specificity and F1 score of the DT model performed best in the training set (test set), with scores of 0.904 (0.845), 0.875 (0.795), 0.973 (0.875) and 0.973 (0.875). The sensitivity of the training set (test set) of the SVM model performed best among the five models with a score of 0.865 (0.821). The area under the curve of all five models was greater than 0.9 for the training dataset and greater than 0.8 for the test dataset. The DCA of all models showed good clinical application value. The study identified ten indicators that were significant predictors of MCI-SKDS. CONCLUSION The risk prediction index derived from machine learning for the MCI-SKDS prediction model is simple and practical; the model demonstrates good predictive value and clinical applicability, and the DT model had the best performance. Please cite this article as: Ai YT, Zhou S, Wang M, Zheng TY, Hu H, Wang YC, Li YC, Wang XT, Zhou PJ. Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly. J Integr Med. 2025; 23(4): 390-397.
Humans ; Cognitive Dysfunction/diagnosis* ; Aged ; Male ; Female ; Machine Learning ; Spleen ; Aged, 80 and over ; Kidney ; Medicine, Chinese Traditional

OBJECTIVE: To investigate the association of various polycyclic aromatic hydrocarbon (PAH) metabolites with diverse subtypes of cardiovascular disease (CVD) risk. METHODS: A novel predicting risk of cardiovascular disease EVENTs PREVENT equation was used to estimate the 10-year diverse subtypes of CVD risk, and their associations with PAH metabolites were analyzed using multiple logistic regression models, the weighted quantile sum (WQS) model, the quantile g-computation (qgcomp) model, and a stratified analysis of subgroups. RESULTS: For this study, six thousand seven hundred and forty-five participants were selected, and significant positive associations were observed between PAHs, naphthalene (NAP), and fluorene (FLU), and the risks of total CVD, atherosclerotic cardiovascular disease (ASCVD), and heart failure (HF). NAP and FLU were the primary contributors to the effects of PAH mixtures, and their associations with total CVD, ASCVD, and HF risk were significant in younger participants (30 ≤ age < 50 years); however, the associations of phenanthrene (PHEN) with ASCVD, HF, coronary heart disease (CHD), and stroke were dominant in aging participants (age ≥ 50 years). Notably, pyrene (PYR) was negatively associated with the risk of ASCVD, HF, CHD, and stroke. Similarly, negative associations of PYR with the four CVD subtypes were noticeable in aging participants. CONCLUSION Different PAHs metabolites had different impacts on each CVD subtype among different age groups. Notably, the protective effects of PYR on ASCVD, HF, CHD, and stroke were noticeable in aging individuals.
Humans ; Cardiovascular Diseases/chemically induced* ; Middle Aged ; Polycyclic Aromatic Hydrocarbons/metabolism* ; Male ; Female ; Adult ; Aged ; Risk Factors ; China/epidemiology*

Aim To investigating the effects and mech-anisms of chlorogenic acid(CGA)on neutrophil(NEU)function and the formation of neutrophil extra-cellular traps(NETs).Methods NEU was isolated and purified from mouse bone marrow by using density gradient centrifugation method;NEU were cultivated with CGA,and the suitable concentration of CGA with NEU were explored through CCK-8 method;To observ-ing the impact of CGA on the function of NEU,we measured the migration ability of NEU,and the levels of myeloperoxidase(MPO),neutrophil elastase(NE),and matrix metalloproteinase 9(MMP-9);The histone H3 of NETs and the DNA skeleton of NEU were stained with immunofluorescence,and the cell-free DNA(cf-DNA)released by NEU was detected to ob-serve the structure of NETs;In addition,the levels of reactive oxygen species(ROS)were also examined to determine whether CGA affects the production of ROS during the release of NETs from NEU.Results There was a significant inhibitory effect on the activity of NEU at a concentration of 100,200,400 μmol·L-1 of CGA(P＜0.01);When compared with the blank group,the effects of CGA(100,200,400 μmol·L-1)on the migration ability of NEU and the ability to se-crete MPO,NE,and MMP-9 were increased(P＜0.05),the release of histone H3,DNA backbone and cf-DNA was significantly increased(P＜0.01),and the ROS produced by the cells was also significantly in-creased(P＜0.01).And the above effects are concen-tration-dependent within a certain range.Conclusion CGA can enhance the function of NEU and promote the formation of NETs,which may be related to the in-crease of intracellular ROS levels.

Objective To establish a high-throughput non-targeted screening and prioritization method for emerging pollutants(EPs)in sewage using direct injection high-resolution mass spectrometry(HRMS).Methods The sewage samples were filtered by membrane filter and directly subjected to the liquid chromatography-time-of-flight mass spectrometer based on a method modified from our previous study.A C18 chromatographic column was applied for a gradient elution separation,and accurate mass and mass spectral fragment information were obtained through the MS full scan mode and MS/MS DIA data collection mode.After peak detection and alignment,the features from the raw data through open source software MZmine 3,and then high-throughput screening strategies such as MassBank and PubChem databases were used for compound annotation.Finally,the candidate features were confirmed with chemical standards by compared their retention time and mass spectrum fragmentation ion peaks.Results 13 EPs were identified,including 7 industrial chemicals,4 pharmaceuticals,1 pesticide and 1 metabolite.High detection rates were observed for metformin(86.2％),2-hydroxybenzothiazole(79.3％),1,2-benzisothiazole-3-one(72.4％),and 1,2-benzisothiazole-3-one(72.4％).The quantitative concentration range of EPs was 1.37～19.05 ng/mL,with the high concentrations observed for melamine(19.05 ng/mL)and furosemide(18.49 ng/mL).Ecological risk assessment identified 1,2-benzisothiazol-3-one,4-aminoacetophenone,creatinine,2-hydroxybenzothiazole,and furosemide as key pollutants.Conclusion This direct injection coupled with HRMS workflow enables efficient non-targeted screening and prioritization of emerging EPs in sewage samples,highlighting five ecotoxicologically critical EPs.The methodology enhances environmental monitoring capabilities and provide critical technical support for interdisciplinary research such as environmental forensics and health risk assessment.

Objective To understand the surveillance situation of poliovirus in Guangzhou from 2011 to 2024, and to further strengthen polio surveillance and ensure the continued maintenance of a polio-free status. Methods An analysis was conducted on the discovery and investigation results of six cases of vaccine-derived poliovirus (VDPV) detected in Guangzhou. Results A total of 6 VDPV incidents were reported in Guangzhou from 2011 to June 2024, among which 5 incidents were from sewage sample testing in the Liede Sewage Treatment Plant in Guangzhou, all of which were confirmed as VDPV, with 1 for type I, 1 for type II, and 3 for type III. In addition, one confirmed HFMD case was identified as a type VDPV II carrier. No presence of any wild poliovirus (WPV), VDPV cases, or circulating VDPV (cVDPV) was reported. Conclusion Guangzhou City has maintained a high level of vigilance and effectiveness in the monitoring and prevention of polio. Continuously strengthening the construction of the polio monitoring network, optimizing vaccination strategies, and comprehensively improving public health awareness are still the focus of the prevention and control work in the future.