1.Five-year survival analysis and influencing factors of elderly lung cancer patients with chronic obstructive pulmonary disease in Mianyang City
Haishi XUE ; Ling HUANG ; Junjie XIA ; Yu QIU ; Ke GE ; Jincheng WANG ; Yuting CHEN ; Runjiao CHEN ; Lingna LI ; An LAN ; Yan HOU
Journal of Public Health and Preventive Medicine 2026;37(1):138-141
Objective To study the five-year survival status and influencing factors of elderly patients with lung cancer complicated with chronic obstructive pulmonary disease (COPD). Methods A cohort study was conducted to follow up 450 patients with lung cancer and chronic obstructive pulmonary disease who were hospitalized in our hospital from January 2018 to December 2023. The endpoint of the follow-up was the end of a five-year period or death. The Life Tables method was used to calculate survival rates and plot survival curves. The Cox proportional hazards model was used to analyze the influencing factors of five-year survival. Results The results indicated that the overall five-year survival rate of patients was 4.89%, and it decreased year by year. Cox regression analysis showed that age, gender, family functioning, and psychological status significantly influenced patient survival rate (all P<0.05). Stratified analysis found that the smoking status, family functioning, and psychological status of male patients all had an impact on survival rate (all P<0.05), while the psychological status of female patients had a more significant impact on survival (P=0.008). Conclusion This study provides a scientific basis for comprehensive intervention of elderly lung cancer patients with COPD. It is recommended that clinical attention should be paid to psychological and family factors to improve patient prognosis.
2.The effect of body mass index and inferior pulmonary ligament division on the residual lung expansion after right upper lobectomy: A retrospective cohort study in a single center
Guang MU ; Wenhao ZHANG ; Hongchang WANG ; Yan GU ; Chenghao FU ; Wentao XUE ; Shiyuan XIE ; Tong WANG ; Ke WEI ; Yang XIA ; Liang CHEN ; Jun WANG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(02):261-266
Objective To analyze the effect of releasing the lower pulmonary ligament on right residual lung expansion after right upper lobe resection under different body mass index (BMI) levels. Methods The clinical data of patients who underwent thoracoscopic right upper lobe resection in the First Affiliated Hospital with Nanjing Medical University from 2021 to 2022 were retrospectively analyzed. Patients were divided into a group A (17 kg/m2<BMI≤23 kg/m2), a group B (23 kg/m2<BMI≤29 kg/m2) and a group C (BMI>29 kg/m2) according to BMI. The presence of residual cavity was judged by chest X-ray at 7-10 days after operation, the degree of compensation change of the right main bronchus angle was measured, and the changes in lung volume were determined by CT three-dimensional reconstruction. Results A total of 157 patients who underwent thoracoscopic right upper lobe resection were included, including 71 males and 86 females, with an average age of (59.7±11.2) years. There were 50 patients in the group A, 75 patients in the group B, and 32 patients in the group C. In the group A, compared with those without releasing the lower pulmonary ligament, patients with releasing had a lower incidence of postoperative residual cavity (P=0.016), greater changes in bronchus angle (P<0.001), and smaller changes in lung volume (P<0.001). In the group B and C, there was no significant effect of releasing the lower pulmonary ligament on postoperative residual cavity, bronchus angle, and lung volume changes (P>0.05). Conclusion For patients with thin and long body shape and low BMI, releasing the lower pulmonary ligament is helpful to promote the expansion of the residual lung after right upper lobe resection and reduce the occurrence of postoperative residual cavity in patients.
3.Advances in Novel Disinfection Technologies for Biofilm-Associated Nosocomial Infections
Donghui KE ; Xingyan TAN ; Kun CHEN ; Xu XUE ; Ni AN ; Kerui YE ; Xiaorui ZHANG ; Yuqing LI ; Jumei ZENG
Journal of Sichuan University (Medical Sciences) 2025;56(5):1243-1250
The elimination of biofilms is a crucial step in controlling hospital-acquired infections.Once biofilms colonize luminal instruments,it is difficult to remove them using traditional disinfection methods.Conventional disinfection approaches now face a series of challenges,including microbial resistance,corrosiveness,cytotoxicity,residual disinfection byproducts,and environmental pollution.Therefore,developing novel disinfection technologies specifically targeting biofilm removal is vitally important.New disinfection technologies,such as slightly acidic electrolyzed water,plasma technology,surface modification techniques,nanomaterial-based disinfection,bacteriophage disinfection,and enzymatic disinfection,are constantly emerging.These technologies exhibit excellent performance against biofilms by leveraging the synergistic effects of multiple mechanisms,including the reactive oxygen species(ROS)burst,photocatalytic oxidation,physical disruption,and biological targeting.This review summarizes the characteristics,underlying mechanisms,and potential application scenarios of these novel disinfection technologies,with a particular focus on their effects against biofilms formed by common pathogenic bacteria on surfaces in hospital settings.It aims to provide a reference basis for the practical application and translation of these disinfection technologies and the development of new disinfection strategies.
4.Trim72 overexpression alleviates myocardial inflammation and apoptosis in mice with acute viral myocarditis
Junyi WANG ; Shanghua XU ; Yimin XUE ; Jun KE ; Jiuyun ZHANG ; Hui XIE ; Shan LI ; Xiaofen ZHOU
Chinese Journal of Emergency Medicine 2025;34(2):193-199
Objective:To investigate the role and possible mechanism of tripartite motif-containing protein 72 (Trim72) in acute viral myocarditis (AVMC) in mice.Methods:A mouse model of AVMC was established by intraperitoneal injection of Coxsackievirus B3 (CVB3, 2.0 × 10 5 PFU/mouse). Forty mice were randomly divided into the negative control (NC) + phosphate-buffered saline (PBS) group (NC+PBS group), Trim72 overexpression + PBS group (Trim72 + PBS group), NC + CVB3 group, and Trim72 + CVB3 group ( n = 10). Fourteen days before modeling, mice in each group were injected with adeno-associated virus type 9 vector (AAV9) encoding either negative control or Trim72 overexpression (5.0 × 10 11 VG/mouse) via tail vein. Subsequently, PBS or CVB3 was injected intraperitoneally in the PBS and CVB3 groups, respectively. After seven days, the surviving mice were euthanized, and the heart and serum samples were collected. HE and TUNEL staining were used to observe the cardiac pathological changes and cardiomyocyte apoptosis, respectively. The mRNA expression levels of Trim72 and pro-inflammatory cytokines TNF-α, IL-6, and IL-1β in myocardial tissues of each group were detected by RT-qPCR. The protein levels of cTnI, TNF-α, IL-6, and IL-1β in serum were detected by ELISA. The expression levels of Trim72, apoptosis-related proteins (Bax, Bcl-2, Cleaved caspase-3, Caspase-3), TLR4, p-p65, and p65 were detected by Western blot. Results:The protein and mRNA expression levels of Trim72 in myocardial tissues of mice in the NC+CVB3 group were significantly downregulated compared with those in the NC + PBS group ( P<0.05). Compared with the NC + CVB3 group, Trim72 overexpression significantly increased the protein and mRNA expression of Trim72 in myocardial tissues ( P<0.05), ameliorated myocardial inflammatory injury, decreased the apoptotic index of cardiomyocytes ( P<0.05), and reduced the levels of pro-inflammation cytokines TNF-α, IL-6, and IL-1β in the myocardium and serum ( P<0.05). Additionally, Trim72 overexpression also downregulated the protein expression of Bax, Cleaved caspase-3/Caspase-3, TLR4, and p-p65, and upregulated the protein expression of Bcl-2 in myocardial tissues ( P<0.05). There was no significant difference in the indexes of mice between the NC + PBS and Trim72 + PBS groups ( P>0.05). Conclusions:Trim72 overexpression attenuates AVMC in mice by inhibiting myocardial inflammatory injury and apoptotic imbalance, and the mechanism may be related to the negative regulation of the TLR4/NF-κB signaling pathway.
5.The predictive value of the systemic immune inflammatory index for acute lung injury after severe traumatic brain injury
Ke XIE ; Cuicui SHI ; Xue SUN ; Liqin HU ; Xiong LIU ; Xin LU ; Zhang BU ; Peng YANG ; Feng XU ; Xionghui CHEN
Chinese Journal of Emergency Medicine 2025;34(9):1199-1205
Objective:To investigate the diagnostic and prognostic value of systemic immune inflammatory index (SII) for severe traumatic brain injury secondary to acute lung injury (sTBI-ALI).Methods:A retrospective study was conducted on patients with severe traumatic brain injury admitted to the trauma center of the First Affiliated Hospital of Soochow University from January 2021 to November 2023. Patients received standard treatments including hemostasis and intracranial pressure management. Vital signs and blood routine data were collected upon admission. Patients were categorized into sTBI group and sTBI-ALI group based on established clinical diagnostic criteria for ALI to evaluate the diagnostic utility of SII. Subsequently, within the sTBI-ALI group, patients were stratified into survival and non-survival groups based on their 30-day outcomes to assess the prognostic value of SII.Results:A total of 260 sTBI patients were enrolled, of whom 113 developed ALI. Among the sTBI-ALI patients, 73 survived at 30 days. Compared to the sTBI group, the sTBI-ALI group exhibited significantly higher respiratory rates, heart rates, white blood cell counts, neutrophil counts, platelet counts, and SII levels (all P<0.05). Multivariate logistic regression analysis showed that SII index ( OR=1.003, 95% CI: 1.002-1.004, P<0.001) was an independent risk factor for ALI development in sTBI patients. The combined predictive model incorporating SII and heart rate yielded an AUC of 0.801 (95% CI: 0.740-0.862). The non-survival group had significantly higher neutrophil counts and SII levels, and significantly lower Glasgow Coma Scale scores than the survival group (all P<0.05). Multifactorial regression analysis indicated that SII index ( OR=1.002, P=0.004, 95% CI: 1.000-1.003) served as an independent risk factor for 30-day mortality in sTBI-ALI patients. The combined predictive model of SII and GCS achieved an AUC of 0.904 (95% CI: 0.848-0.960). Conclusions:SII demonstrates potential as a biomarker for predicting the development of ALI following sTBI. Furthermore, incorporating SII into predictive models significantly enhances the ability to forecast mortality risk in sTBI-ALI patients.
6.Clinical Evaluation of the Diagnostic Accuracy of Colposcopic Biopsy in Postmenopausal Patients
Chinese Journal of Minimally Invasive Surgery 2025;25(7):411-415
Objective To Explore the diagnostic accuracy of colposcopic biopsy in postmenopausal patients.Methods A retrospective analysis was performed on the clinical data of 1049 postmenopausal patients admitted to the colposcopy clinic of our hospital from January 2016 to December 2020.Among them,131 patients who were diagnosed with high-grade cervical squamous intraepithelial lesions or invasive carcinoma by colposcopic biopsy and underwent surgery were selected.Postoperative pathology was used as the gold standard for consistency analysis.Results The accuracy rate of colposcopic biopsy was93.9%(123/131),with a sensitivity of 63.6%(14/22),a specificity of 100.0%(109/109),and a missed diagnosis rate of 36.4%(8/22).When grouped by age,the proportion of type Ⅲ transformation zones in the 55-65 years old group and>65 years old group was significantly higher than that in the 44-54 years old group(χ2=11.301,P=0.001;χ2=5.639,P=0.018).Eight cases of missed invasive carcinoma(3 cases of stage ⅠA1,1 case of stage ⅠA2,and 4 cases of stage ⅠB1)aged 49-67 years old(mean,60 years old).Among them,5 cases had type Ⅲ transformation zones and 3 cases had type Ⅱ transformation zones.Lesions involved 1-2 quadrants in 7 cases and 3 quadrants in 1 case.Conclusions Colposcopic biopsy has a certain missed diagnosis rate.For postmenopausal patients,multiple-point biopsy combined with endocervical curettage should be performed to improve diagnostic accuracy.
7.Effects of rice wine type and wine processing method on chemical constituents and anti-coagulation effect of Angelicae sinensis Radix
Ying WANG ; Ya-yi DENG ; Xue-qi GE ; Hui ZHU ; Yu DUAN ; Xiao-ning YAN ; Hao CAI ; Ke PEI
Chinese Traditional Patent Medicine 2025;47(5):1443-1448
AIM To investigate the effects of rice wine type and wine processing method on chemical constituents and anti-coagulation effect of Angelicae sinensis Radix.METHODS Wine-washed products and wine-stir-fried products were prepared by different types and ages of rice wine,respectively,after which HPLC was adopted in the content determination of tryptophan,chlorogenic acid,vanillic acid,phthalic acid,ferulic acid,senkyunolide I,senkyunolide H,coniferyl ferulate and ligustilide,and PT,APTT,TT were detected in rabbit plasma.RESULTS Phenolic acids and volatile constituents demonstrated lower contents in the wine-stir-fried products than those in the raw product(P<0.05),while those in the wine-washed products displayed no obvious changes(except for senkyunolide I)(P>0.05).The contents of volatile constituents in the wine-washed products were higher than those in the wine-stir-fried products(P<0.05).After being processed with dry rice wine,various constituents exhibited increased contents as compared with those after being processed with sweet rice wine(P<0.05).Compared with the raw product,prolonged PT,APTT and TT were observable in the processed products prepared by 3-year semi-dry rice wine(P<0.05).CONCLUSION The optimal rice wine type is determined to be 3-year semi-dry.Wine-washed Angelicae sinensis Radix shows high contents of ferulic acid and volatile constituents,whose activating blood and resolving stasis effect may be stronger.
8.Recent Advances of Carbon Dots in Chemiluminescence
Yu-Jie XIAO ; Xuan TAN ; Yue ZHAO ; Ke CHENG ; Xue ZHANG ; Xian YANG ; Hong ZHENG
Chinese Journal of Analytical Chemistry 2025;53(1):27-37
Chemiluminescence,as a self-luminous phenomenon that does not require light,heat,acoustic,electric and magnetic excitation,has been widely used in the fields of analytical chemistry,cold light source and bio-imaging because of its advantages including high sensitivity,wide linear range,simple equipment and fast detection speed compared with other analytical techniques.Carbon dots(CDs)are a class of nanomaterials with excellent photoluminescence properties and high biocompatibility.CDs are stable,easy to prepare and abundant in types,and researchers have introduced many types of CDs into different chemiluminescence systems.In this paper,the applications of CDs in common chemiluminescence systems and the possible mechanisms of action were discussed,and the research progresses on the application of CDs in different chemiluminescence detection fields in recent years were summarized.Finally,the development trend of CDs in chemiluminescence was analyzed.
9.In Vivo Electrochemical Analysis of Brain Neurochemistry:Opportunities and Challenges in Clinical Applications
Ke LI ; Huan WEI ; Ran LIU ; Yi-Fei XUE ; Li-Juan LI ; Li-Juan HOU ; Lan-Qun MAO
Chinese Journal of Analytical Chemistry 2025;53(3):311-327
Neuroscience,a cutting-edge field in interdisciplinary research,consistently draws considerable research interest,of which quantitatively probing the neurochemical dynamics is essential for brain science research.In vivoelectrochemical analysis,featuring with high sensitivity,high spatiotemporal resolution,free from transfection,and designable electrode/solution interfaces,provides important tools for in vivo neurochemicals sensing.Fast scan cyclic voltammetry combined with microelectrodes can not only enable precise detection of dopamine but also is compatible with existing neurosurgical equipment.This offers new opportunities for the clinical application of in vivo electrochemical analysis and paves new avenues for the diagnosis and treatment of neurological diseases.This review summarized recent progress of in vivo electrochemical techniques for brain neurochemistry and addressed key clinical challenges and their potential solutions.
10.Research on Two-Dimensional Convolutional Neural Network Model for Near Infrared Spectroscopy Analysis Based on Competitive Adaptive Reweighted Sampling and Gramian Angular Difference Field
Xiao-Song ZENG ; Ke-Wei HUAN ; Xiao-Xi LIU ; Xian-Wen CAO ; Xue-Yan HAN
Chinese Journal of Analytical Chemistry 2025;53(6):955-966
Near infrared spectroscopy(NIRS)analysis technology has become an important process analysis tool in industrial and agricultural production,and has been widely used for qualitative and quantitative analysis in the fields of tobacco,agriculture,and pharmaceuticals.To address issues such as poor generalization ability and low prediction accuracy in NIRS modeling,a two-dimensional convolutional neural network(2DCNN)quantitative analysis model based on competitive adaptive reweighted sampling(CARS)and Gramian angular difference field(GADF)(CARS-GADF-2DCNN)was proposed.CARS-GADF-2DCNN used the CARS method to select an optimal wavelength set from the full spectrum,then employed GADF to encode the selection results into two-dimensional images,and finally used 2DCNN for prediction analysis.The 2DCNN model consisted of convolutional layers,parallel convolution modules,flattening layer,and fully connected layers.Simulation experiments were conducted on three public near-infrared(NIR)spectral datasets encompassing soil,tablet,and grain datasets to evaluate the CARS-GADF-2DCNN model.The results demonstrated that,compared to the one-dimensional convolutional neural network(1DCNN),the GADF-2DCNN model achieved 16.74%,23.40%,and 7.13%improvement in prediction accuracy for the soil,tablet,and grain datasets,respectively.Compared to GADF-2DCNN,VCPA-GADF-2DCNN,and IRIV-GADF-2DCNN models,the CARS-GADF-2DCNN model further improved prediction accuracy.For the soil dataset,prediction accuracy improved by 39.00%,30.78%and 4.13%;for the tablet dataset,the improvements were 9.52%,6.94%and 2.56%;for the grain dataset,the improvements were 20.57%,9.85%and 15.66%.In conclusion,CARS-GADF-2DCNN effectively selected the optimal wavelength subset from near infrared spectra,and revealed the latent features between different wavelengths.CARS-GADF-2DCNN addresses the issues of high complexity in prediction models and low prediction accuracy in near infrared spectral modeling,and could be effectively applied to near infrared spectral prediction analysis of different substances.


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