Objective To investigate the value of preoperative clinical data and computed tomography angiography (CTA) data in predicting perioperative mortality risk in patients with acute aortic dissection (AAD), and to construct a Nomogram prediction model. Methods A retrospective study was conducted on AAD patients treated at Affiliated Hospital of Zunyi Medical University from February 2013 to July 2023. Patients who died during the perioperative period were included in the death group, and those who improved during the same period were randomly selected as the non-death group using a random number table method. The first CTA data and preoperative clinical data within the perioperative period of the two groups were collected, and related risk factors were analyzed to screen out independent predictive factors for perioperative death. The Nomogram prediction model for perioperative mortality risk in AAD patients was constructed using the screened independent predictive factors, and the effect of the Nomogram was evaluated by calibration curves and area under the curve (AUC). Results A total of 270 AAD patients were included. There were 60 patients in the death group, including 42 males and 18 females with an average age of (56.89±13.42) years. There were 210 patients in the non-death group, including 163 males and 47 females with an average age of (56.15±13.77) years. Multivariate logistic regression analysis showed that type A AAD [OR=4.589, 95%CI (2.273, 9.267), P<0.001], irregular tear morphology [OR=2.054, 95%CI (1.025, 4.117), P=0.042], decreased hemoglobin [OR=0.983, 95%CI (0.971, 0.995), P=0.007], increased uric acid [OR=1.003, 95%CI (1.001, 1.005), P=0.004], and increased aspartate aminotransferase [OR=1.003, 95%CI (1.000, 1.006), P=0.035] were independent risk factors for perioperative death in AAD patients. The Nomogram prediction model constructed using the above risk factors had an AUC of 0.790 for predicting perioperative death, indicating good predictive performance. Conclusion Type A AAD, irregular tear morphology, decreased hemoglobin, increased uric acid, and increased aspartate aminotransferase are independent predictive factors for perioperative death in AAD patients. The Nomogram prediction model constructed using these factors can help assess the perioperative mortality risk of AAD patients.

OBJECTIVE To study the improvement effect and mechanism of Dendrobium officinale on skin damage in mice with xeroderma. METHODS The mice were randomly divided into control group， model group， and D. officinale group， with 5 mice in each group. Except for the control group （which only underwent shaving treatment）， the mice in all other groups were induced to develop a xeroderma model using an acetone-ether mixture for five consecutive days. The mice in D. officinale group were treated with 200 μL of D. officinale suspension （0.2 mg/mL） two hours after the first modeling each day. Mice in the control group and the model group were applied with an equal volume of pure water； once a day， until the end of the modeling process. After last medication， skin lesions and pathological morphology of the mice were observed. Immunofluorescence was used to detect the expressions of Filaggrin， Loricrin and Ki67 proteins in skin tissue of the mice. The core pathways through which D. officinale improves skin damage in xeroderma were screened using 16S rRNA sequencing combined with gene ontology and Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analyses， and subsequent validation was conducted. RESULTS Compared with the control group， the mice in the model group exhibited obvious scratching behavior， with a large amount of scale on the skin， excessive epidermal keratinization， and thickened stratum spinosum. The skin scale score， epidermal thickness， and the expression levels of Ki67， Filaggrin， and Loricrin proteins in the skin tissue were significantly increased/elevated （ P ＜0.05）. Compared with model group， the mice in the D. officinale group exhibited reduced scratching behavior and scaling， along with a mitigated degree of skin keratinization. The aforementioned quantitative indicators were significantly decreased/reduced （ P ＜0.05）. The results of core pathway screening revealed that the KEGG pathways involving differentially expressed genes included signaling pathways such as interleukin-17 （IL-17） and tumor necrosis factor （TNF）. Further validation experim ents found that after intervention with D. officinale ， mRNA expression of downstream effector molecules CCN1， Hbegf， Tnfrsf12a， and Thbs1 genes in skin tissues were all significantly reduced （ P ＜0.05）. CONCLUSIONS D. officinale can repair skin damage in mice with xeroderma， and its mechanism of action is related to restoring the balance of proliferation and differentiation in keratinocytes and down-regulating the mRNA expressions of CCN1， Hbegf， Tnfrsf12a， and Thbs1.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

ObjectiveTo investigate the current status of assistive device use and unmet needs among persons with disabilities in Sichuan-Chongqing region, and to identify the key factors associated with satisfaction with these devices. MethodsFrom October, 2024 to February, 2025, quota sampling was adopted to recruit 1 040 persons with disabilities in Sichuan and 260 persons with disabilities in Chongqing. Telephone and online questionnaires were used to collect data on demographic characteristics, status of assistive device utilization and unmet assistive device needs, as well as satisfaction with assistive device use. Correlation analysis, multiple linear regression analysis and structural equation modeling were performed to identify key factors associated with satisfaction. ResultsA total of 1 186 valid responses were collected, of which 942 were from Sichuan Province and 244 from Chongqing Municipality. The utilization rate of assistive devices among persons with disabilities in Sichuan-Chongqing region was 61.9%, and the rate of unmet assistive device needs was 30.6%. The assistive device utilization rate of participants with agricultural household registration (57.98%) was lower than that of participants with non-agricultural household registration (66.86%). The utilization rate showed a J-shaped upward trend with the increase of educational attainment. Educational attainment (P = 0.002), perceived usefulness of assistive devices (P < 0.001), home living environment (P < 0.001), public environment (P < 0.001) and disability type (significant differences were found in visual and hearing disabilities compared with physical disability, P < 0.05) were key predictors of satisfaction with assistive device use. The impact of public environment on satisfaction was exerted through two indirect mediating paths: mediating effect via perceived usefulness of assistive devices (ind₁ = 0.357, 95%CI 0.279 to 0.437, P < 0.001), contributing approximately 70% of the total indirect effect; mediating effect via home living environment (ind₂ = 0.129, 95%CI 0.006 to 0.242, P = 0.038), contributing approximately 25% of the total indirect effect. ConclusionThere is a structural imbalance between assistive device use and demand in Sichuan-Chongqing region. People with psycho-intellectual disabilities are most likely to be excluded from the service chain because they neither perceive need nor access information. Education exerts a robust positive effect on both adoption and satisfaction, so training content must be tailored to different educational levels. Satisfaction is shaped by disability type, device usefulness and environmental factors. Future product development should therefore integrate functional and psychosocial dimensions. Priority should be given to micro-scale home-and-community accessibility retrofits before extending upward to public transportation and employment settings, to maximize the cost-effectiveness of limited funds.

Objective To evaluate the occupational health literacy (OHL) level and its influencing factors among individuals of six key industries from Jiulongpo District, Chongqing City. Methods A total of 2 022 frontline workers from six key industries in the Jiulongpo District of Chongqing City were selected as the research subjects using a cluster sampling method. The OHL level of the workers were assessed using the Occupational Health Literacy Questionnaire of National Key Populations. Results The overall OHL level among the 2 022 frontline workers was 51.43%. The OHL level in the four dimensions of basic knowledge of occupational health protection, healthy work practices and behaviors, legal knowledge of occupational health, and basic skills of occupational health protection were 81.45%, 56.08%, 43.42%, and 37.59%, respectively. The OHL levels of the six key industries from high to low were electrical machinery and equipment manufacturing, healthcare, education, express delivery/food delivery, transportation, and environmental hygiene, accounted for 91.43%, 61.98%, 52.64%, 40.58%, 36.70% and 31.15% (P<0.01). The results of logistic regression analysis showed that population of Han had higher OHL level than ethnic minorities (P<0.01), married individuals had lower OHL level than unmarried individuals (P<0.05), individuals with college education or above had higher OHL level than those with junior high school education or below (P<0.01), and higher personal monthly income was associated with higher OHL levels (all P<0.05). The OHL levels of workers of environmental hygiene, transportation, education, express delivery/food delivery, and healthcare were lower than those in electrical machinery and equipment manufacturing (all P<0.01). Conclusion The OHL level among occupational populations in the six key industries in Jiulongpo District, Chongqing City, needs to be further improved. And the OHL monitoring and intervention should be focused on the occupational population of express delivery/food delivery industry, transportation, environmental hygiene, and occupational population with low income, low educated, and ethnic minorities.

Objective: To explore the association of health literacy with overweight and obesity among middle school students in Chongqing, so as to provide evidence for obesity prevention and control strategies. Methods: From November to December 2019, a stratified cluster sampling method was used to select 7 851 middle school students from 8 complete middle schools across 4 districts/counties in Chongqing. Participants completed the Adolescent Health Literacy Questionnaire and underwent nutritional status assessments. Chisquare tests and multivariate Logistic regression analyses were performed to evaluate associations. Results: The prevalence of overweight and obesity among adolescents was 12.95%. The overall health literacy rate and rates for functional, interactive, and critical health literacy dimensions were 62.01%, 66.02%, 50.07%, and 72.42%, respectively. Significant differences in overweight and obesity prevalence were observed across districts/counties, urban/rural areas, sex, school stages, and onlychild status (χ2=25.93, 3.86, 80.55, 8.80, 6.43, P<0.05). After adjusting for confounding factors, multivariate Logistic regression revealed that middle school students with overall health literacy (OR=0.86, 95%CI=0.75-0.99), interactive health literacy (OR=0.85, 95%CI=0.74-0.97), and critical health literacy (OR=0.84, 95%CI=0.73-0.98) had a lower risk of overweight and obesity (P<0.05). Conclusions Health literacy is inversely associated with overweight and obesity among middle school students. Strengthening health education and improving interactive and critical health literacy may create favorable conditions for adolescent overweight and obesity prevention and control.

Objective: This study aims to investigate the anatomical relationship among the nerve roots, intervertebral space, pedicles, and intradural rootlets of the cervical spine for improving operative outcomes and exploring neuroventral decompression approach in posterior endoscopic cervical discectomy (PECD). Methods: Cervical computed tomography myelography imaging data from January 2021 to May 2023 were collected, and the RadiAnt DICOM Viewer Software was employed to conduct multiplane reconstruction. The following parameters were recorded: width of nerve root (WN), nerve root-superior pedicle distance (NSPD), nerve root-inferior pedicle distance (NIPD), and the relationship between the intervertebral space and the nerve root (shoulder, anterior, and axillary). Additionally, the descending angles between the spinal cord and the ventral (VRA) and dorsal (DRA) rootlets were measured. Results: The WN showed a gradual increase from C4 to C7, with measurements notably larger in men compared to women. The NSPD decreased gradually from the C2–3 to the C5–6 levels. However, the NIPD showed an opposite level-related change, notably larger than the NSPD at the C4–5, C5–6, and C7–T1 levels. Furthermore, significant differences in NIPD were observed between different age groups and genders. The incidence of the anterior type exhibited a gradual decrease from the C2–3 to the C5–6 levels. Conversely, the axillary type exhibited an opposite level-related change. Additionally, the VRA and DRA decreased as the level descended, with measurements significantly larger in females. Conclusion A prediction of the positional relationship between the intervertebral space and the nerve root is essential for the direct neuroventral decompression in PECD to avoid damaging the neural structures. The axillary route of the nerve root offers a safer and more effective pathway for performing direct neuroventral decompression compared to the shoulder approach.

With the widespread use of antibiotics, drug-resistant bacterial infections have become a significant threat to human health. Finding new antibacterial strategies that can effectively control drug-resistant bacterial infections has become an urgent task. Unlike small molecule drugs that target bacterial proteins, antisense oligonucleotide (ASO) can target genes related to bacterial resistance, pathogenesis, growth, reproduction and biofilm formation. By regulating the expression of these genes, ASO can inhibit or kill bacteria, providing a novel approach for the development of antibacterial drugs. To overcome the challenge of delivering antisense oligonucleotide into bacterial cells, various drug delivery systems have been applied in this field, including cell-penetrating peptides, lipid nanoparticles and inorganic nanoparticles, which have injected new momentum into the development of antisense oligonucleotide in the antibacterial realm. This review summarizes the current development of small nucleic acid drugs, the antibacterial mechanisms, targets, sequences and delivery vectors of antisense oligonucleotide, providing a reference for the research and development of antisense oligonucleotide in the treatment of bacterial infections.

The concept of "qi deficiency with stagnation" refers to a pathological state characterized by the depletion of primordial qi， impaired qi transformation， and the development of internal stagnation. Under the cyclic chemotherapy regimen in oncology， chemotherapy-induced myelosuppression follows a progressive pathological course from qi deficiency to increasing stagnation. This sequential evolution from mild to severe myelosuppression closely aligns with the dynamic syndrome differentiation and treatment framework of "qi deficiency with stagnation". "Qi deficiency" reflects the gradual depletion of qi， blood， and essence， while "stagnation" refers to the accumulation of phlegm， turbid dampness， and blood stasis. These two components interact reciprocally， forming a vicious cycle where deficiency leads to stagnation， and stagnation further damages the healthy qi. In the early stage of mild myelosuppression， chemotoxicity begins to accumulate in the bone marrow， leading to qi consumption， blood deficiency， yin injury， and the gradual formation of turbid phlegm and damp stagnation. In the advanced stage of severe myelosuppression， the accumulation of toxicity causes qi sinking， exhaustion of essence， and marrow depletion， along with blood stasis obstructing the collaterals. Treatment strategies should be based on syndrome differentiation， with an emphasis on assessing the severity of the condition， balancing deficiency and excess， and achieving both symptomatic relief and root cause resolution.

Objective: This study aims to investigate the anatomical relationship among the nerve roots, intervertebral space, pedicles, and intradural rootlets of the cervical spine for improving operative outcomes and exploring neuroventral decompression approach in posterior endoscopic cervical discectomy (PECD). Methods: Cervical computed tomography myelography imaging data from January 2021 to May 2023 were collected, and the RadiAnt DICOM Viewer Software was employed to conduct multiplane reconstruction. The following parameters were recorded: width of nerve root (WN), nerve root-superior pedicle distance (NSPD), nerve root-inferior pedicle distance (NIPD), and the relationship between the intervertebral space and the nerve root (shoulder, anterior, and axillary). Additionally, the descending angles between the spinal cord and the ventral (VRA) and dorsal (DRA) rootlets were measured. Results: The WN showed a gradual increase from C4 to C7, with measurements notably larger in men compared to women. The NSPD decreased gradually from the C2–3 to the C5–6 levels. However, the NIPD showed an opposite level-related change, notably larger than the NSPD at the C4–5, C5–6, and C7–T1 levels. Furthermore, significant differences in NIPD were observed between different age groups and genders. The incidence of the anterior type exhibited a gradual decrease from the C2–3 to the C5–6 levels. Conversely, the axillary type exhibited an opposite level-related change. Additionally, the VRA and DRA decreased as the level descended, with measurements significantly larger in females. Conclusion A prediction of the positional relationship between the intervertebral space and the nerve root is essential for the direct neuroventral decompression in PECD to avoid damaging the neural structures. The axillary route of the nerve root offers a safer and more effective pathway for performing direct neuroventral decompression compared to the shoulder approach.