The diagnosis,treatment,and prognosis evaluation of cervical spondylosis are challenging in clinic.Machine learning(ML)models can improve the accuracy and efficiency of cervical spondylosis diagnosis by processing complex clinical data,assist in selecting more precise treatment plans,and evaluate prognosis.Through the domestic and foreign literature review on the application of ML models in cervical spondylosis in recent years,the study classifies and summarizes the relevant models applied in the diagnosis,treatment,and prognosis evaluation of cervical spondylosis,introduces classic algorithms such as random forest,as well as new algorithms such as convolutional neural networks,deep neural networks and long short-term memory networks,aiming to provide reference ML solutions for various stages of cervical spondylosis diagnosis and treatment.

Aim To explore the mechanisms of PM2.5 exposure exacerbating bleomycin(BLM)-induced idio-pathic pulmonary fibrosis(IFP)by regulating ferropto-sis via nuclear factor 2 related factor 2(Nrf2)/solute carrier family 7 member 11(SLC7A11)/glutathione peroxidase(GPX)4 axis.Methods Forty C57BL/6J mice were randomized into the control,BLM,PM2.5,BLM+PM2.5 and sulforaphane(SFN,Nrf2 agonist)groups,with eight mice in each group.PM2.5 expo-sures were conducted to the BLM-induced IPF mice for two weeks.The lung function was measured,and the content of hydroxyproline(HYP)in lung tissue and the pathomorphology of lungs were observed.Reactive oxygen species(ROS),malondialdehyde(MDA),ferrous ion(Fe2+)and glutathione(GSH)of the lung tissue were measured by ELISA.The mRNA and pro-teins levels of Nrf2,SLC7A11,GPX4,collagen typeⅠ(COL-1),α-smooth muscle actin(α-SMA)were measured by quantitative polymerase chain reaction(qPCR)and Western blot.Results Compared with the control group,the lung function of mice was signif-icantly reduced(P＜0.01)in the BLM and PM2.5 groups,while lung tissue showed the characteristic pathological changes of pulmonary fibrosis such as a large number of inflammatory cell infiltration,alveolar wall fracture,thickening,collagen deposition,and sig-nificantly increased HYP,Fe2+,ROS,MDA(P＜0.05,P＜0.01),genes and proteins of COL-1,α-SMA(P＜0.01);and decreased GSH,Nrf2,SLC7A11,GPX4 genes and proteins(P＜0.05,P＜0.01).The above-mentioned lesions were markedly aggravated in the BLM+PM2.5 group compared with the BLM(P＜0.05)and PM2.5 groups(P＜0.01),and were also improved in the SFN group(P＜0.05,P＜0.01).Conclusions PM2.5 exposures can exac-erbate IPF-induced IPF in mice,and the regulating of Nrf2/SLC7 A1 1/GPX4 axis and ferroptosis might be in-volved in the related mechanisms.

Objective:To construct a narrative nursing intervention plan for post-traumatic growth (PTG) in breast cancer patients and evaluate its effectiveness.Methods:Based on PTG model and the core principles of narrative nursing techniques, an intervention plan was constructed, consisting of three themes. The first unit, "Me and Them, " used externalization techniques to construct deliberate rumination. The second unit, "What Kind of Person Am I, " used deconstruction and rewriting techniques to promote effective disease coping. The third unit, "We Are Together, " applied external witnesses and therapeutic documentation techniques to enhance social support and consolidate growth. Individualized face-to-face interventions were implemented, with each unit receiving one session lasting 1 to 1.5 hours, for a total of three sessions. Using purposive sampling, 42 breast cancer patients hospitalized in the Daytime Ward of Beijing Tiantan Hospital from July to October 2024 were selected. These patients were divided into an intervention group, which received the narrative nursing intervention plan, and a control group, which received routine nursing care, with 21 patients in each group. The Post-Traumatic Growth Inventory (PTGI) and the Chinese version of the Event-Related Rumination Inventory (C-ERRI) were used to assess the patients before and after the intervention.Results:After the intervention, the intervention group showed significantly higher scores on the PTGI and deliberate rumination in the C-ERRI compared to the control group, while the intervention group had significantly lower scores on intrusive rumination in the C-ERRI compared to the control group. The differences were statistically significant ( P<0.05) . Conclusions:The narrative nursing intervention plan for PTG in breast cancer patients constructed in this study is scientifically sound and feasible. It can help breast cancer patients enhance their PTG levels and develop deliberate rumination.

Objective This study investigated feasible cases and their significance in promoting the"generalized"development of inspection through digital-intelligent equipment.Methods A qualitative research approach was used,involving interviews conducted between February 2025 and March 2025 with experts in traditional Chinese medicine diagnostics,clinical research methodology,medical engineering integration,and related disciplines,using both online and offline methods.In accordance with the Consolidated Criteria for Reporting Qualitative Research,feasible cases involving the specific application of digital equipment in various parts of observation were collected through item enrichment.The significance of extending observation capabilities via these cases was analyzed,along with the overall implications of integrating digital technologies with traditional inspection method.Results Interviews were completed with 11 experts from domestic universities and research institutes in the fields of traditional Chinese medicine diagnosis,medical engineering integration,and related disciplines.A total of 78 feasible cases of digital-intelligent inspection were identified,along with 69 insights regarding the significance of enhancing the inspection capabilities.These insights were synthesized into two dimensions and 23 holistic meanings.The first dimension is to expand the scope of inspection,including obtaining internal environmental characteristics,observing external environmental characteristics,expanding thermodynamic characteristic data,and crossing time and space.The second dimension is to improve the quality of observation and diagnosis information collection and analysis,including 19 specific meanings,such as standardized collection environment,objective quantification,and refined observation.Conclusion Digital-intelligent equipment plays a significant role in expanding the scope of inspection content and achieving high-quality acquisition and analysis of extensive inspection information.These advancements extend and enrich the capabilities of traditional inspection method in traditional Chinese medicine.

PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

Objective:To investigate the effect of pre-stroke metformin (MET) use on early neurological improvement (ENI) and outcome after intravenous thrombolysis (IVT) in acute ischemic stroke (AIS) patients with type 2 diabetes (T2DM).Methods:AIS patients with T2DM underwent IVT in the Department of Neurology, Yuncheng Central Hospital from January 2019 to February 2025 were included retrospectively. According to whether MET was used before onset, they were divided into MET group and non-MET group. Early neurological improvement (ENI) was defined as a decrease in the National Institutes of Health Stroke Scale (NIHSS) score ≥4 at 24 hours after IVT compared to admission, or the NIHSS score was 0-1. At 90 days after onset, the modified Rankin Scale was used for outcome assessment, and ≤2 was good outcome and >2 was poor outcome. Multivariate logistic regression analysis was used to determine the independent influencing factors of ENI and outcome. Results:A total of 115 AIS patients with T2DM were included in the study, with an age of 65.42±12.22 years. There were 83 males (72.2%). Fifty-four patients (47.0%) used MET, and 61 (53.0%) used other hypoglycemic drugs; 43 (37.4%) developed ENI, and 33 (28.7%) had poor outcome at 90 days. There were no significant difference in all baseline data between the MET group and the non-MET group, but the proportions of patients with ENI and good prognosis at 90 days in the MET group were significantly higher than those in the non-MET group (all P<0.05). The proportions of hypertensive patients and baseline NIHSS scores in the ENI group were significantly lower than those in the non-ENI group, while the proportions of patients using MET, antihypertensive drugs, statins, and patients with good outcome was significantly higher than that in the non-ENI group (all P<0.05). The body weight, high-density lipoprotein cholesterol, as well as the proportions of patients using antiplatelet drugs, MET, and patients with ENI in the good outcome group were significantly higher than those in the poor outcome group, while systolic blood pressure, fasting blood glucose, triglycerides, and the proportions of patients with hemorrhagic transformation, and symptomatic intracranial hemorrhage were significantly lower than those in the poor outcome group (all P<0.05). Multivariate logistic regression analysis showed that using statins (odds ratio [ OR] 5.291, 95% confidence interval [ CI] 1.599-17.514; P=0.006) and MET ( OR 3.018, 95% CI 1.125-8.092; P=0.006) were the independent influencing factors of ENI; using MET ( OR 0.014, 95% CI 0.001-0.246; P=0.004) and anterior circulation stroke ( OR 0.005, 95% CI 0.000-0.745; P=0.038) were significantly independently associated with good outcome, while high baseline NIHSS score ( OR 2.092, 95% CI 1.198-3.655; P=0.009) and serum homocysteine ( OR 1.202, 95% CI 1.024-1.411; P=0.024) were significantly independently associated with the poor outcome. Conclusion:The use of MET before stroke onset can help improve ENI and clinical outcome in AIS patients with T2DM after IVT.

Long-term spaceflight,characterized by drastic changes in spatial position,disrupts the Earth's inherent environmental periodic signals,such as the day-night light-dark cycle.This leads to a misalignment between the external environmental cycles and the body's endogenous biological rhythms.The cumulative effect of this persistent"time difference"severely disrupts the core biological pathways that regulate the circadian rhythm.It triggers a series of neuroendocrine and behavioral stress responses,exemplified by sleep-wake disorders,which have become a core medical problem constraining the success of long-term space missions and astronaut health.Traditional Chinese Medicine(TCM)posits that aligning with the rhythmic changes of heaven,earth,day,night,and the four seasons,and maintaining the dynamic balance and harmonious functioning of the body's Yin and Yang vital energies,are fundamental principles for safeguarding vitality and resisting external pathogens and internal injuries.However,in the prolonged weightlessness,confinement,and abnormal lighting environment of deep space flight,the bond between the human body and natural rhythms is forcibly severed.Yin and Yang Qi become difficult to sustain,the mechanisms of ascent,descent,exit,and entry are obstructed,the visceral Qi transformation functions are impaired,and the circulation of Qi and Blood becomes disordered,ultimately leading to the onset of various disorders.This paper,grounded in the TCM temporal medicine perspective of"correspondence between heaven and human"(tian ren xiang ying)and the theories of Yin-Yang and Qi-Blood,meticulously reviews the historical classics and modern research on acupoint intervention strategies for addressing rhythm disorders and harmonizing Yin and Yang.Building upon this foundation,it innovatively proposes and argues for an integrated acupoint prescription strategy:the"Bei Xin Wu Xue"combined with the classic paired points Zhaohai(KI6)-Shenmai(BL62)on the lower limbs to regulate the dynamic balance of the Yin and Yang Heel Vessels(Yin/Yang Qiao Mai),and the classic paired points Taichong(LR3)-Yongquan(KI1)to guide Qi downward.This combination aims to work at multiple levels-"Heart-Brain,Yin-Yang,Liver-Kidney"-to calm the Heart Spirit,clear the Brain Mansion,and tonify the Liver and Kidney.The goal is to restore Yin and Yang Qi to an orderly and coordinated state,thereby assisting the disordered biological rhythm system in regaining homeostasis.This provides a novel TCM-inspired approach of"rhythm regulation and equilibrium restoration"(tiao shi fu heng)to safeguard the long-term in-orbit health of astronauts.

OBJECTIVE To investigate the targeting effect of folic acid-modified crebanine nanoparticles （FA-Cre@PEG- PLGA NPs， hereinafter referred to as “NPs”） combined with ultrasound irradiation on M109 cells in vitro and in vivo after administration， and explore the anti-tumor mechanism. METHODS CCK-8 assay was used to detect the inhibitory effect of NPs combined with ultrasound irradiation on the proliferation of M109 cells， and the best ultrasound time was selected. Using human lung cancer A549 cells as a control， the targeting of NPs combined with ultrasound irradiation to M109 cells was evaluated by free folic acid blocking assay and cell uptake assay. The effects of NPs combined with ultrasound irradiation on the migration， invasion， apoptosis， cell cycle and reactive oxygen species （ROS） levels of M109 cells were detected by cell scratch test， Transwell chamber test and flow cytometry at 1 h after 958401536@qq.com administration； the changes of mitochondrial membrane potential （MMP） were observed by fluorescence inverted microscope. A mouse subcutaneous tumor model of M109 cells was constructed， and the in vivo tumor targeting of NPs combined with ultrasound irradiation was investigated by small animal in vivo imaging technology. RESULTS NPs combined with ultrasound irradiation could significantly inhibit the proliferation of M109 cells， and the optimal ultrasound time was 1 h after administration. The free folic acid could antagonize the inhibitory effect of NPs on the proliferation of M109 cells， and combined with ultrasound irradiation could partially reverse this antagonism. Compared with A549 cells， the uptake rate of NPs in M109 cells was significantly higher （P＜0.01）， and ultrasound irradiation could promote cellular uptake. NPs combined with ultrasound irradiation could inhibit the migration and invasion of M109 cells and block the cell cycle in the G0/G1 and G2/M phases. Compared with control group， the apoptosis rate of M109 cells and ROS level were increased significantly （P＜0.01）， while the MMP decreased significantly （P＜0.01） in the different concentration （100， 200， 300 μg/mL） groups of M109 cells. Compared with the mice in non-ultrasound group， the fluorescence intensity and tumor-targeting index of the tumor site in the 0 h ultrasound group were significantly enhanced （P＜0.05 or P＜0.01）. CONCLUSIONS NPs combined with ultrasound irradiation have a strong targeting effect on M109 cells in vitro and in vivo， the anti-tumor mechanism includes inhibiting cell migration and invasion， blocking cell cycle， and inducing apoptosis.

Objective: This study aims to explore the association between oral lichen planus (OLP) and Hashimoto’s thyroiditis (HT) and its anti-thyroid antibodies to provide clinical evidence for thyroid disease screening in patients with OLP. Methods: This study was approved by the institutional ethics committee. A total of 125 clinically and histopathologically confirmed patients with OLP were enrolled as the case group, and they were matched with 125 non-OLP controls based on sex and age. Demographic data (gender, age, lesion type, and disease duration) were collected from both groups. Serum levels of thyroid peroxidase antibodies (TPOAb) and thyroglobulin antibodies (TgAb) were measured to analyze their associations with sex, age, lesion type, and disease duration in patients with OLP. Result: The prevalence of HT in patients with OLP was 31.20%, significantly higher than that in the control group (9.60%) (χ2=18.504, P<0.001). The prevalence of HT in female patients with OLP (39.13%) was significantly higher than that in male patients (9.09%)（χ2=10.93，P<0.001）. The positivity rate of thyroid peroxidase antibodies (TPOAb) in patients with OLP (17.6%) was significantly higher than in the control group (4.0%) (χ2=10.989, P<0.001). The TPOAb positivity rate was significantly higher in female patients (22.83%) than in male patients (3.03%) (χ2=5.210, P=0.014). There was no statistically significant difference in the positivity rate of TgAb between patients with OLP (7.2%) and the control group (3.2%) (P>0.05). Patients with erosive lesions had a significantly higher TPOAb positivity rate (25.0%, 17/68) compared to those with non-erosive lesions (8.77%, 5/57), and the difference was statistically significant (χ2=4.831, P=0.028). Logistic regression analysis revealed that female patients with OLP had an 8.935-fold higher risk of being TPOAb positive compared to males (OR=8.935, 95%CI: 1.134-70.388, P=0.038). Patients with erosive OLP lesions had a 3.199-fold higher risk of TPOAb positivity compared to those with non-erosive lesions (OR=3.199, 95%CI: 1.064-9.618, P=0.038). Conclusion The prevalence of HT is higher in patients with OLP, with higher positivity rates of anti-thyroid antibodies observed in female patients and those with erosive OLP lesions. This suggests that thyroid disease screening should be incorporated into the clinical management of patients with OLP, especially for women and patients who present with erosive lesions.