With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

With the accelerating aging of the population, the proportion of elderly patients with lung cancer continues to rise, presenting multiple challenges to perioperative management. This paper systematically reviews the clinical characteristics of elderly lung cancer patients. Based on the comprehensive geriatric assessment, it proposes incorporating seven major geriatric syndromes—frailty, delirium, sarcopenia, cognitive impairment, malnutrition, dysphagia, and mood disorders—into the core evaluation system. By integrating multimorbidity management with complication prevention and control, an integrated "geriatric syndrome-multimorbidity-complication" perioperative management model is constructed. Furthermore, this paper outlines stratified intervention strategies for geriatric syndromes, a "five-step" workflow for comorbidity management, and a comprehensive intervention pathway for complications across the preoperative, intraoperative, and postoperative phases. Multidisciplinary team (MDT) collaboration serves as the core mechanism to achieve individualized comprehensive treatment. This paper aims to provide a novel perioperative comprehensive treatment model for elderly lung cancer patients, which is centered on geriatrics, supported by multidisciplinary collaboration, and guided by precision medicine.

ObjectiveTo evaluate the clinical efficacy and safety of Xiaozhen Formula （消疹方） in preventing skin toxicity induced by epidermal growth factor receptor inhibitors （EGFRIs） in patients with EGFR-mutant non-small cell lung cancer （NSCLC）. MethodsA randomized， double-blind， placebo-controlled， multicenter clinical study was conducted. A total of 120 patients with EGFR-mutant NSCLC from seven centers were enrolled and randomly assigned to a treatment group （60 cases） or a control group （60 cases）. On the basis of EGFRI-targeted therapy， patients in the treatment group received Xiaozhen Formula granules， whereas those in the control group received Xiaozhen Formula placebo granules， both at 10 g twice daily for 4 consecutive weeks. The primary outcomes were the grading of skin toxicity evaluated using the National Cancer Institute Common Terminology Criteria for Adverse Events （NCI-CTCAE） version 5.0 and the incidence of rash. Secondary outcomes included the time to onset and time to resolution of the highest-grade rash， the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 （EORTC QLQ-C30） scores， the Hospital Anxiety and Depression Scale （HADS） scores， and disease control rate， together with safety assessments. ResultsBased on the full analysis set （FAS）， the incidence of skin toxicity in the treatment group was 18.33% （11/60）， significantly lower than 45.00% （27/60） in the control group （P＜0.01）， with the highest severity of skin toxicity in both groups was grade 2. Among patients who developed rash， the resolution rate in the treatment group was 90.91% （10/11）， higher than that 33.33% （9/27） in the control group. The median time to resolution was 15 days （95%CI： 8-17 days） in the treatment group and it was not reached in the control group； the distribution of time to resolution differed significantly between groups （P＜0.001）. After treatment， the treatment group had higher EORTC QLQ-C30 functional scale and global health status/quality-of-life scores， and lower symptom scale， single-item scores， as well as HADS-A， and HADS-D scores than the control group （P＜0.05）. In the FAS analysis， the disease control rate （DCR） was 85.0% （51/60） in the treatment group， lower than 100.0% （60/60） in the control group （P=0.003）， whereas no significant between-group difference was observed in the per-protocol set （PPS） analysis （P=0.464）. The incidence of adverse events did not differ significantly between the two groups （P＞0.05）， and no definite safety signals related to the investigational drug were observed. ConclusionXiaozhen Formula can reduce the incidence of EGFRI-induced skin toxicity， and improve the outcome of rash regression， the patients' quality of life and psychological status in EGFR-mutant NSCLC patients.

AIM: To investigate the application of optical coherence tomography angiography(OCTA)in observing the relationship between corneal topographic changes and retinal vessel density and thickness in myopic adolescents after wearing orthokeratology lenses.METHODS:Myopic adolescents who treated and wore orthokeratology lenses in our hospital between January and December 2023 were selected for the study, and their clinical data were retrospectively analyzed. Totally 50 cases(50 eyes)of toric orthokeratology lenses(toric group)and 50 cases(50 eyes)of spherical orthokeratology lenses(spherical group)were selected. Changes in corneal topographic indices, retinal vascular density and retinal thickness were examined in the two groups before and at 3 and 6 mo after wear. The relationship between corneal topographic indexes and retinal vessel density and thickness was analyzed.RESULTS: Compared with the pre-wear, average value of ks and kf(Avek)was significantly lower(all P<0.05), and surface regularity index(SRI)and surface asymmetry index(SAI)were significantly increased(both P<0.05)in the two groups at 3 and 6 mo post-wear. Compared with the pre-wearing period, deep retinal vessel density in whole macular area and superficial retinal vessel density in paracentral retina of macula were significantly higher in the two groups at 3 and 6 mo after wearing(both P<0.05), and the superficial retinal vessel density in macular fovea and paracentral fovea of macula of the toric group was significantly higher(all P<0.05), and the superficial retinal vessel density in paracentral macular fovea of the spherical group was significantly increased(all P<0.05). Compared with the pre-wearing period, the thickness of retina in whole macula and paracentral retina of the macula was significantly increased in the both groups at 3 and 6 mo post-wearing(all P<0.05). After wearing lenses for 3 mo, the Avek of the toric group was negatively correlated with the deep vascular density in whole macular area and paracentral macular fovea, the superficial vascular density in macular fovea and paracentral macular fovea, and the thickness of whole macular and paracentral macular fovea(all P<0.05). The SRI and SAI were positively correlated with the superficial retinal vascular density in macular fovea and paracentral macular fovea, and the retinal thickness in whole macular area and paracentral macular fovea(all P<0.05). The spherical group showed a negative correlation between Avek and the deep retinal vessel density in whole macular area and paracentral macular fovea, as well as the superficial retinal vessel density in paracentral macular fovea after wearing lenses for 3 mo(all P<0.05). SRI and SAI were positively correlated with the deep retinal vessel density in whole macular area, macular fovea and paracentral macular fovea, and the superficial retinal vessel density in paracentral macular fovea(all P<0.05). SRI was positively correlated with the retinal thickness in whole macular area(P<0.05), and SAI was positively correlated with the retinal thickness in paracentral macular fovea(P<0.05).CONCLUSION: After wearing toric and spherical corneal orthokeratology lenses, the corneal topography of myopic adolescents changes, and the retinal blood flow density and retinal thickness increase significantly, improving retinal blood circulation. Moreover, there is a significant correlation between changes in corneal topography and retinal blood flow density and retinal thickness, which has certain guiding significance for the control of myopia.

Objective:To explore the risk factors for osteoporosis in postmenopausal patients with rheumatoid arthritis and establish a prediction model for early identification.Methods:A retrospective analysis was conducted on the clinical data of 128 postmenopausal patients with rheumatoid arthritis who visited Northwest Women′s and Children′s Hospital from May 2021 to December 2023. According to their bone mineral density, the patients were divided into the osteoporosis group (T-score ≤-2.5, n=16) and the non-osteoporosis group (T-score >-2.5, n=112). Clinical data of the two groups were compared. Pearson correlation analysis was used to analyze the correlation of various indicators. Multivariate logistic regression analysis was applied to screen the influencing factors for osteoporosis in postmenopausal patients with rheumatoid arthritis, and a Nomogram model for predicting the risk of osteoporosis in such patients was established. The receiver operating characteristic (ROC) curve was drawn to evaluate the predictive efficacy of the model. Results:The age, Disease Activity Score 28 based on Erythrocyte Sedimentation Rate (DAS28-ESR), β-cross-linked C-telopeptide of type I collagen (β-CTX), luteinizing hormone (LH), and follicle-stimulating hormone (FSH) in the osteoporosis group were higher than those in the non-osteoporosis group, while the bone mineral density of lumbar vertebrae t1-4, left hip, right hip, serum calcium, and estradiol (E 2) levels were lower (all P<0.05). Pearson correlation analysis showed that DAS28-ESR was negatively correlated with bone mineral density of lumbar vertebrae t1-4 ( r=-3.026, P=0.002), left hip ( r=-3.409, P<0.001), and right hip ( r=-4.125, P<0.001). Multivariate logistic regression analysis showed that age ( OR=4.697, 95% CI: 2.509-8.795), DAS28-ESR ( OR=4.889, 95% CI: 2.611-9.154), β-CTX ( OR=4.816, 95% CI: 2.572-9.018), LH ( OR=4.998, 95% CI: 2.669-9.357), and FSH ( OR=4.802, 95% CI: 2.565-8.991) were risk factors for osteoporosis in postmenopausal women with rheumatoid arthritis (all P<0.05); bone mineral density of lumbar vertebrae t1-4 ( OR=0.203, 95% CI: 0.108-0.381), left hip ( OR=0.214, 95% CI: 0.114-0.401), right hip ( OR=0.211, 95% CI: 0.113-0.396), serum calcium ( OR=0.199, 95% CI: 0.106-0.372), and E 2 ( OR=0.210, 95% CI: 0.112-0.383) were protective factors (all P<0.05). The Nomogram model for predicting osteoporosis in postmenopausal patients with rheumatoid arthritis had a sensitivity of 0.86(95% CI: 0.73-0.92), a specificity of 0.83(95% CI: 0.72-0.95), and an area under the curve of 0.918(95% CI: 0.865-0.973). Conclusions:Age, DAS28-ESR, β-CTX, LH, FSH, bone mineral density of lumbar vertebrae t1-4, left hip, right hip, serum calcium, and E 2 are related to osteoporosis in postmenopausal patients with rheumatoid arthritis. The established prediction model is helpful for early identification of the risk of osteoporosis.

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.

To explore the inhibitory effect of ginkgolide B (GB) on MH7A human fibroblast-like synoviocytes (FLS) and its potential mechanism. Firstly, 20 μg/L tumor necrosis factor-α (TNF-α) was pretreated with MH7A to establish a cell model of arthritis. After incubation of MH7A cells with various concentrations of GB, CCK-8 assay, Transwell assay, and flow cytometry (FCM) were separately used to detect cell viability, cell invasion, and cell apoptosis rate and cell cycle; Real-time quantitative PCR and Western blot assay were performed to detect the apoptosis- and cycle-related gene transcriptions and protein expressions, respectively. The results showed that compared with the control group, GB dose- and time-dependently suppressed cell viability to a greater extent; GB significantly reduced cell invasive ability and increased cell apoptosis rate and proportion of G0/G1 phase in MH7A cells, along with increased transcription levels of Bcl-2-associated X protein (Bax) and p21 mRNA and decreased transcription levels of Bcl-2, myeloid cell leukemia 1(Mcl-1), protein kinase B (PKB; AKT), IP3K, Cyclin D1 and cyclin-dependent kinase 4 (CDK4) mRNA; GB remarkably increased expression levels of Bax, p21, and cleaved-Caspase 3 protein and decreased expression levels of Bcl-2, Mcl-1, p-AKT, p-PI3K, Cyclin D1, and CDK4 protein, with decreased ratios of p-PI3K/PI3K, p-AKT/AKT, and Bcl-2/Bax. In conclusion, GB blocks the G1-to-S cell cycle transition, suppresses cell viability and cell invasion and induces cell apoptosis of MH7A human RA-FLS via suppressing the PI3K/AKT signaling pathway.

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.

Objective:To explore the risk factors for osteoporosis in postmenopausal patients with rheumatoid arthritis and establish a prediction model for early identification.Methods:A retrospective analysis was conducted on the clinical data of 128 postmenopausal patients with rheumatoid arthritis who visited Northwest Women′s and Children′s Hospital from May 2021 to December 2023. According to their bone mineral density, the patients were divided into the osteoporosis group (T-score ≤-2.5, n=16) and the non-osteoporosis group (T-score >-2.5, n=112). Clinical data of the two groups were compared. Pearson correlation analysis was used to analyze the correlation of various indicators. Multivariate logistic regression analysis was applied to screen the influencing factors for osteoporosis in postmenopausal patients with rheumatoid arthritis, and a Nomogram model for predicting the risk of osteoporosis in such patients was established. The receiver operating characteristic (ROC) curve was drawn to evaluate the predictive efficacy of the model. Results:The age, Disease Activity Score 28 based on Erythrocyte Sedimentation Rate (DAS28-ESR), β-cross-linked C-telopeptide of type I collagen (β-CTX), luteinizing hormone (LH), and follicle-stimulating hormone (FSH) in the osteoporosis group were higher than those in the non-osteoporosis group, while the bone mineral density of lumbar vertebrae t1-4, left hip, right hip, serum calcium, and estradiol (E 2) levels were lower (all P<0.05). Pearson correlation analysis showed that DAS28-ESR was negatively correlated with bone mineral density of lumbar vertebrae t1-4 ( r=-3.026, P=0.002), left hip ( r=-3.409, P<0.001), and right hip ( r=-4.125, P<0.001). Multivariate logistic regression analysis showed that age ( OR=4.697, 95% CI: 2.509-8.795), DAS28-ESR ( OR=4.889, 95% CI: 2.611-9.154), β-CTX ( OR=4.816, 95% CI: 2.572-9.018), LH ( OR=4.998, 95% CI: 2.669-9.357), and FSH ( OR=4.802, 95% CI: 2.565-8.991) were risk factors for osteoporosis in postmenopausal women with rheumatoid arthritis (all P<0.05); bone mineral density of lumbar vertebrae t1-4 ( OR=0.203, 95% CI: 0.108-0.381), left hip ( OR=0.214, 95% CI: 0.114-0.401), right hip ( OR=0.211, 95% CI: 0.113-0.396), serum calcium ( OR=0.199, 95% CI: 0.106-0.372), and E 2 ( OR=0.210, 95% CI: 0.112-0.383) were protective factors (all P<0.05). The Nomogram model for predicting osteoporosis in postmenopausal patients with rheumatoid arthritis had a sensitivity of 0.86(95% CI: 0.73-0.92), a specificity of 0.83(95% CI: 0.72-0.95), and an area under the curve of 0.918(95% CI: 0.865-0.973). Conclusions:Age, DAS28-ESR, β-CTX, LH, FSH, bone mineral density of lumbar vertebrae t1-4, left hip, right hip, serum calcium, and E 2 are related to osteoporosis in postmenopausal patients with rheumatoid arthritis. The established prediction model is helpful for early identification of the risk of osteoporosis.

Objective:To explore the application value of real-time shear wave elastography(SWE)and ultrafast pulse wave velocity(UFPWV)techniques in assessing carotid artery stiffness of patients with gouty arthritis(GA).Methods:A total of 80 GA patients admitted to the First People's Hospital of Yibin from August 2022 to July 2023 were selected as GA group.Among of them,24 cases combined with bone erosion who were confirmed by imaging examination,and 56 cases did not combine with bone erosion.In addition,a total of 40 healthy individuals,who underwent physical examinations in our hospital during the same period,were selected as the healthy control group.SWE and UFPWV were used to detect the maximum,minimum and mean values of Young's modulus values of the vessel wall of common carotid artery,and the pulse wave velocity at the beginning of systole(PWVBS)and pulse wave velocity at the end of systole(PWVES)of the vessel wall of common carotid artery of all subjects,and to assess the hardness of circumferential and longitudinal vessel wall of common carotid artery of them.The differences in Young's modulus values,PWVBS and PWVES between two groups were compared.And then,the correlations between bone erosion and Young's modulus values,PWVBS,PWVES of GA patients were further analyzed.Results:The maximum,minimum,mean values,PWVBS and PWVES in the GA group were respectively(78.80±12.38)kPa,(57.83±7.42)kPa,(67.67±8.38)kPa,(7.06±0.59)m/s and(9.50±0.63)m/s,which were significantly higher than those in the healthy control group(t=11.066,8.216,11.751,14.159,19.118,P＜0.05).The maximum,minimum,mean values,PWVBS and PWVES of GA patients with bone erosion were respectively(82.95±6.37)kPa,(59.59±5.29)kPa,(72.18±7.62)kPa,(7.37±0.43)m/s,(10.43±0.47)m/s,which were significantly higher than those[(77.01±5.32)kPa,(57.08±4.73)kPa,(65.73±4.54)kPa,(6.92±0.39)m/s and(9.10±0.41)m/s]of GA patients without bone erosion,the differences were significant(t=4.309,2.099,4.699,4.586,12.720,P＜0.05).Spearman correlation analysis showed that there was significant correlations between maximum,minimum,mean values,PWVBS,PWVES and the combined bone erosion in GA patients(r=0.602,0.421,0.682,0.647,0.732,P＜0.05).Conclusion:SWE and UFPEV techniques can evaluate the hardness of vascular wall of GA patients,and the hardness of circumferential and longitudinal vessel wall of common carotid artery of GA patient is higher than that of healthy person,and the hardness of circumferential and longitudinal vessel wall of common carotid artery of GA patient with bone erosion is higher.