Objective To develop a predictive model for postoperative pulmonary complications (PPC) following video-assisted thoracic surgery (VATS) in lung cancer patients by integrating cardiopulmonary exercise testing (CPET) parameters and machine learning techniques. Methods A retrospective analysis was conducted on patients with early-stage non-small cell lung cancer who underwent CPET and VATS at Guangdong Provincial People’s Hospital between October 2021 and July 2023. Patients were divided into a PPC group and a non-PPC group. The least absolute shrinkage and selection operator (LASSO) regression was used to select important features associated with PPC. Six machine learning algorithms were utilized to construct prediction models, including logistic regression, support vector machine, k-nearest neighbors, random forest, gradient boosting machine, and extreme gradient boosting. The optimal model was interpreted using SHapley Additive exPlanations (SHAP). Results A total of 325 patients were included, with an average age of 60.36 years, and 55.1% were male. Significant differences were observed between the PPC and non-PPC groups in age, diabetes, coronary heart disease, surgical approach, forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), FVC% predicted, peak oxygen uptake (peak VO2), anaerobic threshold (AT), and ventilatory equivalent for carbon dioxide slope (VE/VCO2 slope) (P<0.05). In the predictive model constructed by selecting 7 key features using LASSO regression, the random forest model demonstrated the best overall performance across various metrics, with an area under the receiver operating curve of 0.930, an F1 score of 0.836, and a Brier score of 0.133 in the training set. It also exhibited good predictive ability and calibration in the test set. SHAP analysis ranked feature importance as follows: peak VO2, VE/VCO2 slope, age, FEV1, smoking history, diabetes, and surgical approach. Conclusion Integrating CPET parameters, the random forest model can effectively identify high-risk patients for PPC and has the potential for clinical application.

Attention deficit and hyperactive disorder （ADHD） is the most common neurodevelopmental disorder of childhood. It seriously impairs academic achievement， social interaction， and vocational development， and increases the risk of accidental injury and substance abuse. In some cases， the symptoms may also exert an indirect disruptive effect on public order. Its aetiology involves interactions among genetic， perinatal environmental， and psychosocial factors that cannot be fully disentangled by single clinical studies. Therefore， a systematic evaluation of existing animal models is essential for revealing pathophysiology and developing novel therapies. Using the keywords "attention deficit and hyperactive disorder"， "models， animal"， "validity"， and their English equivalents， we systematically searched PubMed， Web of Science， CNKI， and Wanfang for publications from 2000 to 2025 （retrieving 328 publications） and added further references by citation tracking. Eighty-six rodent ADHD models that provided detailed construction protocols， behavioural assessments， neurobiological mechanisms， or pharmacological data were included and classified into spontaneous genetic， genetically engineered， and environmentally induced paradigms. Their face， construct， and predictive validity were compared. Among spontaneous genetic models， spontaneously hypertensive rats reproduce hyperactivity， impulsivity， and stimulant responses well， yet hypertension and sex differences limit specificity. Acallosal mouse strains link corpus callosum absence to ADHD-like behaviours， but neurotransmitter studies remain scarce. Genetically engineered rodents—including dopamine transporter， neurokinin-1 receptor and mediator complex subunit 23 knockout or conditional gene knockout lines—precisely dissect dopaminergic， noradrenergic， synaptic， or epigenetic pathways， yet generally lack full phenotypic coverage， social-deficit modelling， and comorbidity representation， and are accompanied by adverse effects such as growth retardation or ocular defects. Environmentally induced models employ lead， polychlorinated biphenyls， alcohol， nicotine exposures， 6-hydroxydopamine lesions， neonatal hypoxia， early social isolation， or maternal stress to recapitulate core symptoms. However， dose-schedule standardisation is lacking. Behavioural reversibility diverges from clinical persistence， and non-specific phenotypes such as anxiety or depression are common. Overall， no single paradigm simultaneously achieves high validity across all three dimensions. Currently， ADHD models have progressed from single-factor simulations to multidimensional evaluation， yet significant gaps remain in genetic-background standardisation， sex differences， cross-species translation， and syndrome-differentiation modelling under traditional Chinese medicine. Future directions should integrate genetic， environmental， and epigenetic interactions， establish life-span validation systems， and incorporate computational neuroscience alongside integrative Chinese-Western strategies to enhance clinical relevance and translational utility， thereby providing robust evidence-based support for mechanistic elucidation， drug screening and precision intervention in ADHD.

BACKGROUND:With changing lifestyles and aging,sagittal spinal imbalance has become a common orthopedic issue significantly affecting knee and pelvic function.Understanding the impact of sagittal spinal imbalance and its compensatory mechanisms is crucial for improving the clinical management of chronic pain.OBJECTIVE:To evaluate the alignment of the spine-pelvis-lower extremities using whole-body EOS imaging,analyze the correlation between spinal sagittal imbalance and knee joint parameters,and explore their compensatory mechanisms.METHODS:A total of 71 patients with chronic low back pain or patellofemoral pain who visited Department of Orthopedics,First Affiliated Hospital of Soochow University between January 1,2021 and December 31,2023 were included.Radiographic measurements were performed using whole-body EOS to determine pelvic tilt,pelvic incidence,lumbar lordosis,sagittal vertical axis,global tilt,hip-knee-angle,knee flexion angle,lateral distal femoral angle,and medial proximal tibial angle.Patients were classified into normal group(pelvic incidence-lumbar lordosis＜10°),compensated group(10°＜pelvic incidence-lumbar lordosis＜20°),and decompensated group(pelvic incidence-lumbar lordosis＞20°)based on the SRS-Schwab spinal deformity classification according to pelvic incidence-lumbar lordosis difference.The differences in radiographic parameters among the groups were analyzed.The differences in American Knee Society Knee Score and Oswestry Disability Index scores were compared among each group.Patients were divided into chronic low back pain group and non-chronic low back pain group,patellofemoral pain group and non-patellofemoral pain group based on clinical symptoms,and the relationship between radiographic parameter differences and clinical symptoms was analyzed.RESULTS AND CONCLUSION:(1)When pelvic incidence-lumbar lordosis was less than 20°,lateral distal femoral angle and medial proximal tibial angle tended to stabilize.When pelvic incidence-lumbar lordosis was greater than 20°,it showed a linear correlation with lateral distal femoral angle and medial proximal tibial angle,with lateral distal femoral angle increasing and medial proximal tibial angle decreasing with increasing pelvic incidence-lumbar lordosis values.(2)Compared with the normal group,the compensated group had significantly increased pelvic tilt(P＜0.01),while knee joint parameters hip-knee-angle and knee flexion angle showed no significant differences;the decompensated group showed significant increases in pelvic tilt(P＜0.01),and decreases in hip-knee-angle,and knee flexion angle(P＜0.01).Compared with the compensated group,the decompensated group showed a significant decrease in hip-knee-angle(P＜0.05),but had no significant differences in pelvic tilt and knee flexion angle.(3)Compared with the non-patellofemoral pain group,patients with patellofemoral pain had significant decreases in spinal lumbar lordosis,lateral distal femoral angle,and medial proximal tibial angle(P＜0.05)and a significant increase in pelvic incidence-lumbar lordosis(P＜0.05).(4)Patients with low back pain had significant differences in radiographic parameters compared with the non-chronic low back pain group(P＜0.05).(5)Compared with the normal group,both the compensated and decompensated groups showed a significant decrease in American Knee Society Knee Score scores and a significant increase in Oswestry Disability Index scores(P＜0.05).Compared with the compensated group,the decompensated group showed a significant decrease in American Knee Society Knee Score scores and a significant increase in Oswestry Disability Index scores(P＜0.05).(6)Pelvic incidence-lumbar lordosis values increased with age and were higher in females compared with males.(7)This study systematically reveals the spine and lower limbs play an important role in disease progression and clinical symptoms.Associated symptoms low back pain and patellofemoral pain are related to the stability of the spine-pelvis-lower extremity alignment.Furthermore,spinal sagittal imbalance is more severe in elderly and female patients.

BACKGROUND:With changing lifestyles and aging,sagittal spinal imbalance has become a common orthopedic issue significantly affecting knee and pelvic function.Understanding the impact of sagittal spinal imbalance and its compensatory mechanisms is crucial for improving the clinical management of chronic pain.OBJECTIVE:To evaluate the alignment of the spine-pelvis-lower extremities using whole-body EOS imaging,analyze the correlation between spinal sagittal imbalance and knee joint parameters,and explore their compensatory mechanisms.METHODS:A total of 71 patients with chronic low back pain or patellofemoral pain who visited Department of Orthopedics,First Affiliated Hospital of Soochow University between January 1,2021 and December 31,2023 were included.Radiographic measurements were performed using whole-body EOS to determine pelvic tilt,pelvic incidence,lumbar lordosis,sagittal vertical axis,global tilt,hip-knee-angle,knee flexion angle,lateral distal femoral angle,and medial proximal tibial angle.Patients were classified into normal group(pelvic incidence-lumbar lordosis＜10°),compensated group(10°＜pelvic incidence-lumbar lordosis＜20°),and decompensated group(pelvic incidence-lumbar lordosis＞20°)based on the SRS-Schwab spinal deformity classification according to pelvic incidence-lumbar lordosis difference.The differences in radiographic parameters among the groups were analyzed.The differences in American Knee Society Knee Score and Oswestry Disability Index scores were compared among each group.Patients were divided into chronic low back pain group and non-chronic low back pain group,patellofemoral pain group and non-patellofemoral pain group based on clinical symptoms,and the relationship between radiographic parameter differences and clinical symptoms was analyzed.RESULTS AND CONCLUSION:(1)When pelvic incidence-lumbar lordosis was less than 20°,lateral distal femoral angle and medial proximal tibial angle tended to stabilize.When pelvic incidence-lumbar lordosis was greater than 20°,it showed a linear correlation with lateral distal femoral angle and medial proximal tibial angle,with lateral distal femoral angle increasing and medial proximal tibial angle decreasing with increasing pelvic incidence-lumbar lordosis values.(2)Compared with the normal group,the compensated group had significantly increased pelvic tilt(P＜0.01),while knee joint parameters hip-knee-angle and knee flexion angle showed no significant differences;the decompensated group showed significant increases in pelvic tilt(P＜0.01),and decreases in hip-knee-angle,and knee flexion angle(P＜0.01).Compared with the compensated group,the decompensated group showed a significant decrease in hip-knee-angle(P＜0.05),but had no significant differences in pelvic tilt and knee flexion angle.(3)Compared with the non-patellofemoral pain group,patients with patellofemoral pain had significant decreases in spinal lumbar lordosis,lateral distal femoral angle,and medial proximal tibial angle(P＜0.05)and a significant increase in pelvic incidence-lumbar lordosis(P＜0.05).(4)Patients with low back pain had significant differences in radiographic parameters compared with the non-chronic low back pain group(P＜0.05).(5)Compared with the normal group,both the compensated and decompensated groups showed a significant decrease in American Knee Society Knee Score scores and a significant increase in Oswestry Disability Index scores(P＜0.05).Compared with the compensated group,the decompensated group showed a significant decrease in American Knee Society Knee Score scores and a significant increase in Oswestry Disability Index scores(P＜0.05).(6)Pelvic incidence-lumbar lordosis values increased with age and were higher in females compared with males.(7)This study systematically reveals the spine and lower limbs play an important role in disease progression and clinical symptoms.Associated symptoms low back pain and patellofemoral pain are related to the stability of the spine-pelvis-lower extremity alignment.Furthermore,spinal sagittal imbalance is more severe in elderly and female patients.

Objective:To investigate the value of quantitative parameters of dual-layer detector spectral CT (DLCT) in preoperative prediction of lymphovascular invasion (LVI) in invasive lung adenocarcinoma.Methods:This study employed a cross-sectional design. The data of 91 patients with primary lung adenocarcinoma confirmed by postoperative pathology who underwent DLCT enhanced scanning in the First Affiliated Hospital of Zhengzhou University from March 2022 to July 2024 were retrospectively collected. The patients were divided into LVI positive group and LVI negative group according to the postoperative pathology. Gender, age, smoking status, and lesion location were recorded,the clinical T-stage and N-stage were evaluated. Spectral base data images were generated based on the spectral reconstruction algorithm. Conventional CT features such as the size and density of the lesions were analyzed. The DLCT quantitative parameters such as 40 keV single-energy CT value (CT 40 keV), iodine density (ID), standardized iodine density (NID), and effective atomic number (Z eff) were measured. The differences of parameters between the two groups were compared using t-test, Mann-Whitney U test, or χ2 test. Multivariate logistic regression analysis was used to identify independent factors for predicting invasive lung adenocarcinoma LVI. The predictive performance of individual parameters and their combinations for LVI in invasive lung adenocarcinoma was evaluated using receiver operating characteristic curve analysis and area under the curve (AUC) measurements. Results:There were significant differences in age, T stage, N stage, maximum diameter, focal density, and arteriovenous stage NID and Z eff between the LVI positive group and the LVI negative group ( P<0.05). Multiple logistic regression analysis showed that age ( OR=0.890, 95% CI 0.821-0.966), N stage( OR=12.721, 95% CI 2.676-60.473) and venous stage Z eff( OR=0.012,95% CI 0-0.668) were independent factors for predicting invasive lung adenocarcinoma LVI ( P<0.05). The combination of age, N stage, and venous-phase Z eff values demonstrated the highest predictive efficacy for LVI in invasive lung adenocarcinoma, with an AUC of 0.916. Conclusions:The quantitative parameters of DLCT are helpful for preoperative prediction of LVI status of invasive lung adenocarcinoma. The Z eff in the venous stage is an independent predictor, the combination of multiple parameters can further improve the diagnostic efficiency.

The aim of this study is to explore a new path of empowering ideological and political educa-tion in courses with digital intelligence technology,therefore to improve the teaching quality of biology courses in universities,promote the comprehensive implementation of the fundamental task of cultivating morality and talents,and continuously improve the level of"three pronged education".By using the biol-ogy course"Immunology"as a practical carrier,we have constructed a dual-driven framework of"ideo-logical and political guidance+digital intelligence empowerment"utilizing digital tools to further highlight pedagogical feature enhancement,curricular optimization,innovative teaching models,multidimensional assessment,and enhanced teaching refinement.The empowerment of digital intelligence in the ideological and political construction of the course"Immunology"has achieved notable progress.Students' profes-sional abilities and ideological and political literacy have significantly improved,and the proportion of students with excellent grades has been increasing year by year(81.93％of students with good grades or above in 2024),demonstrating outstanding performance in various social practice activities;The course exhibits excellent demonstration and radiation effects on campus,and the teaching results have been sup-ported by the Ministry of Education and provincial-level education reform projects.This study serves as a practical example for the digital transformation of ideological and political education in higher education courses,providing reference and innovative insights for implementing ideological and political elements in other courses of biology majors.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

Objective:Exploring the efficacy and safety of the combination of programmed cell death protein 1 (PD-1) inhibitors with chemotherapy for the treatment of local recurrence at the primary tumor site of esophageal squamous cell carcinoma (ESCC) following definitive chemoradiotherapy.Methods:Seventy-six patients with local recurrence at the primary tumor site of ESCC following definitive chemoradiotherapy, who were treated at the Cancer Hospital Affiliated with Nanjing Medical University from January 2019 to January 2024. All patients received treatment with a PD-1 inhibitor combined with chemotherapy, and the short-term efficacy, long-term efficacy, and adverse reactions were observed. Univariate and multivariate Cox regression models were employed to identify the factors influencing overall survival (OS) and after-recurrence survival (ARS).Results:Among the 76 patients, 7 achieved partial response, 35 had stable disease, and 34 experienced progressive disease. The objective response rate was 9.2% (7/76), and the disease control rate was 55.3% (42/76). With a median follow-up time of 23.1 months, 33 out of 76 patients died. The median survival time was 38.5 months (95% CI: 29.6-47.3 months); the 1-year, 2-year, and 3-year OS were 94.5%, 66.6%, and 51.7%, respectively. The median ARS was 14.7 months (95% CI: 10.4-19.1 months); the 6-month, 12-month, and 24-month ARS were 85.8%, 59.6%, and 25.7%, respectively. Univariate analysis showed that the initial radiation dose, the Eastern Cooperative Oncology Group (ECOG) performance status of patients after recurrence, the recurrence-free interval (RFI), and the approach to chemotherapy treatment following local esophageal recurrence were factors affecting OS and ARS ( P＜0.05). Multivariate analysis showed that initial radiotherapy dose ( HR=0.268, 95% CI: 0.100-0.720), the ECOG performance status after recurrence ( HR=4.106, 95% CI: 1.228-13.728), and RFI ( HR=0.248, 95% CI: 0.106-0.582) were independent prognostic factors for OS. Additionally, the initial radiation dose ( HR=0.289, 95% CI: 0.098-0.853) and the ECOG performance status after recurrence ( HR=5.143,95% CI:1.404-18.838) were independent prognostic factors for ARS. The incidence of treatment-related adverse-reactions was 85.5% (65/76). Grade 3 or higher treatment-related adverse reactions primarily included anemia in 4 cases, leukopenia in 8 cases, neutropenia in 9 cases, thrombocytopenia in 2 cases, liver function abnormalities in 4 cases, and elevated troponin T in 2 cases. There were no cases of treatment-related mortality. Conclusions:The combination of PD-1 inhibitors with chemotherapy is safe and effective for local recurrence at the primary tumor site of ESCC following definitive chemoradiotherapy and can provide survival benefits for patients. This approach can be considered as a therapeutic option for local recurrence at the primary tumor site of ESCC following definitive chemoradiotherapy.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.