Purpose: Dual anti–human epidermal growth factor receptor 2 (HER2) drugs have become the standard regimen for neoadjuvant systemic treatment (NST) to HER2-positive breast cancer patients. However, the efficacy varies greatly among patients with different HER2 protein expression levels. Materials and Methods: A total of 575 HER2-positive breast cancer patients from multiple centers throughout China from 2013 to 2022 were retrospectively analyzed. We compared clinicopathological features in different HER2 immunohistochemistry classes (HER2 2+/in situ hybridization [ISH] + or HER2 3+), and their difference in response to NST and survival with single or dual anti-HER2 drugs. Drug sensitivity assays were used to evaluate different efficacy of anti-HER2 drugs in vitro. Results: Compared to HER2 3+ subgroup, the HER2 2+/ISH+ group had a higher proportion of hormone receptor–positive status (48.7% vs. 76.1%, p < 0.001), more HER2 protein loss after NST, lower pathological complete response (pCR) rate (46.07% vs. 16.24%, p < 0.001), and tended to have worse disease-free survival (DFS). In HER2 2+/ISH+ patients, treated with pertuzumab and trastuzumab in combination had no significant improvement in pCR (19.12% vs. 12.24%, p=0.287) and DFS (p=0.908) than using alone. Drug sensitivity assay showed poor efficacy with dual anti-HER2 drugs in HER2 2+/ISH+ cell lines; however, fam-trastuzumab deruxtecan drugs had a satisfactory effect. Conclusion Owing to the differences in clinicopathological features and treatment efficacy, we considered the HER2 2+/ISH+ group to be a distinct subtype and defined it as the HER2-moderate–positive subgroup. In this subgroup, dual anti-HER2 drugs did not exert significant improvement in pCR and DFS. Therefore, treatment optimization is warranted, with antibody-drug conjugate drugs as potential options.

ObjectiveTo systematically compare the effects of diverse electromagnetic stimulation protocols on hand function and activities of daily living (ADL) in stroke patients using network meta-analysis (NMA), and screen the optimal stimulation strategy for post-stroke hand dysfunction rehabilitation. MethodsNMA was performed in accordance with the PRISMA-NMA statement. Databases of CNKI, Wanfang data, VIP, CBM, PubMed, Web of Science and Embase were searched from database inception to April, 2026 for eligible randomized controlled trials (RCTs) comparing different electromagnetic stimulation protocols for post-stroke hand impairment. The Cochrane Risk of Bias tool and PEDro scale were used to assess methodological quality of included studies, while the GRADE system was adopted to grade evidence quality of primary outcomes of Fugl-Meyer Assessment-Upper Extremities (FMA-UE) and modified Barthel Index (MBI). After literature screening, data extraction and bias evaluation, RevMan 5.4 and Stata 17.0 were used for meta-analysis and NMA. ResultsA total of 22 RCT involving 17 electromagnetic stimulation protocols were finally included. The PEDro scores ranged from six to ten. The top five protocols for improving FMA-UE score were repetitive peripheral magnetic stimulation (rPMS) + repetitive transcranial magnetic stimulation (rTMS), intermittent theta-burst stimulation (iTBS) + rPMS, iTBS + transcranial direct current stimulation (tDCS), transcutaneous electrical acupoint stimulation (TEAS) and contralaterally controlled functional electrical stimulation (CCFES). tDCS was the most effective on MBI, followed by TEAS and iTBS+rPMS. Evidence quality for FMA-UE and MBI was moderate. Funnel plots suggested low risk of publication bias, and consistency tests verified good coherence between direct and indirect comparisons in network models. ConclusionElectromagnetic stimulation significantly facilitates upper limb and hand functional recovery, and improves ADL in stroke patients. The combined central-peripheral magnetic stimulation protocol may be the most effective on motor rehabilitation, whereas tDCS on ADL.

This article comprehensively discusses the concept of workplace ostracism, measurement tools, theoretical basis, the current situation of workplace ostracism among nurses, and research on related variables. It proposes targeted strategies to address workplace ostracism among nurses, aiming to reduce the occurrence of workplace ostracism incidents among nurses. This is of great significance for constructing a harmonious work environment and promoting individual mental health.

The cross-lagged model is a longitudinal data analysis method that can analyze the mutual influence and causal relationships among variables in longitudinal studies. This article introduces an overview of the cross-lagged model and the application progress of the cross-lagged model in the field of nursing, including psychological nursing, community nursing, geriatric nursing, perinatal nursing, nursing management, and nursing education. It is expected to provide a reference for Chinese medical staff to apply the cross-lagged model in nursing practice.

Objective:To analyze the relationship between Cardiovascular Health(CVH)and Pelvic Inflamma-tory Disease(PID)using data from the National Health and Nutrition Examination Surveys(NHANES).Meth-ods:Participants from the NHANES database were extracted based on the inclusion of PID,LE8 scores,and mul-tiple potential confounding factors,excluding those with missing variables.Multivariate Logistic regression analysis was conducted using R to assess the relationship between the CVH and the risk of PID.Additionally,subgroup a-nalysis and interaction tests were performed for age,race,poverty,marital status,education,BMI,menstrual regu-larity,and pregnancy history.Results:A total of 3934 female participants were included,with an average age of 39.95±11.42 years.Multivariable Logistic regression analysis showed that after adjusting for age,race,BMI,edu-cation level,marital status,household income,menstrual cycle,and pregnancy history,the risk of PID gradually decreased with an increase in CVH assessment metric LE8 scores(OR 0.98,95％CI 0.97-0.99,P＜0.001).Stratified analysis indicated significant interactions between age,race,and marital status in the association be-tween CVH and PID(interaction P＜0.05 for all),while household income level,education level,BMI,menstrual regularity,and pregnancy history showed no significant interactions with the CVH and PID association(P＞0.05).Conclusions:There is a significant negative relationship between CVH and PID in adult women in the United states,suggesting that better cardiovascular health may help reduce the risk of PID.

Objective To investigate the correlation between PPARγ and female interstitial cystitis/bladder pain syndrome (IC/BPS) and to establish a predictive model. Methods Clinical data were collected from 89 female IC/BPS patients (observational group) admitted to the hospital from June 2022 to December 2023,and 90 healthy female volunteers undergoing physical examinations during the same period (control group). Plasma levels of inflammatory factors,total antioxidant capacity (TAC),total glutathione (GSH),malondialdehyde (MDA),and PPARγ levels were measured. Significant clinical features were identified using LASSO regression and fitted into a multivariate logistic regression model. The diagnostic efficacy was assessed through receiver operat-ing characteristic (ROC) curves. Results Compared to the control group,the observation group exhibited signifi-cantly elevated age,BMI,NLR,absolute neutrophil count,IFN-α,IL-1β,IL-6,IL-8,TNF-α and CD3+CD4+T expression levels,while absolute lymphocyte count,IL-10,TAC,GSH and plasma PPARγ expression levels were significantly decreased (all P<0.05). LASSO regression identified 8 variables,including NLR,IFN-α,absolute neutrophil count,IL-1β,IL-6,TNF-α,CD3+CD4+T and PPARγ,which were incorporated into the predictive model. Multivariate binary logistic regression analysis revealed that elevated levels of IL-1β,TNF-α and CD3+CD4+T cells,along with reduced PPARγ levels,were independent risk factors for IC/BPS. ROC curve analy-sis indicated that the diagnostic efficacy of the combined PPARγ and clinical parameters (age,IL-1β,TNF-α and CD3+CD4+T) (AUC=0.901) was superior to PPARγ alone (AUC=0.839). Conclusion Plasma PPARγ levels are significantly reduced in female IC/BPS patients and serve as a potential diagnostic marker,with combined clinical parameters enhancing diagnostic accuracy.

Objective To investigate the correlation between PPARγ and female interstitial cystitis/bladder pain syndrome (IC/BPS) and to establish a predictive model. Methods Clinical data were collected from 89 female IC/BPS patients (observational group) admitted to the hospital from June 2022 to December 2023,and 90 healthy female volunteers undergoing physical examinations during the same period (control group). Plasma levels of inflammatory factors,total antioxidant capacity (TAC),total glutathione (GSH),malondialdehyde (MDA),and PPARγ levels were measured. Significant clinical features were identified using LASSO regression and fitted into a multivariate logistic regression model. The diagnostic efficacy was assessed through receiver operat-ing characteristic (ROC) curves. Results Compared to the control group,the observation group exhibited signifi-cantly elevated age,BMI,NLR,absolute neutrophil count,IFN-α,IL-1β,IL-6,IL-8,TNF-α and CD3+CD4+T expression levels,while absolute lymphocyte count,IL-10,TAC,GSH and plasma PPARγ expression levels were significantly decreased (all P<0.05). LASSO regression identified 8 variables,including NLR,IFN-α,absolute neutrophil count,IL-1β,IL-6,TNF-α,CD3+CD4+T and PPARγ,which were incorporated into the predictive model. Multivariate binary logistic regression analysis revealed that elevated levels of IL-1β,TNF-α and CD3+CD4+T cells,along with reduced PPARγ levels,were independent risk factors for IC/BPS. ROC curve analy-sis indicated that the diagnostic efficacy of the combined PPARγ and clinical parameters (age,IL-1β,TNF-α and CD3+CD4+T) (AUC=0.901) was superior to PPARγ alone (AUC=0.839). Conclusion Plasma PPARγ levels are significantly reduced in female IC/BPS patients and serve as a potential diagnostic marker,with combined clinical parameters enhancing diagnostic accuracy.

Objective To observe the value of Swin2SR network based on Transformer architecture for reconstructing chest super-resolution CT images.Methods Chest CT data of 218 patients were retrospectively collected.Swin2SR model based on Transformer architecture was adopted to enhance standard 512 matrix(512 × 512)CT images(standard-512 group)into 1 024(SR-1 024 group)and 2 048(SR-2 048 group)matrix SR CT images,respectively.Subjective and objective evaluation of image quality were performed,and the results were compared among groups.Results The subjective scores of overall imaging quality and lesion clarity in SR-1 024 and SR-2 048 groups were both higher than those in standard-512 group(all P＜0.05),while no significant difference was found between the former two(P＞0.05).Meanwhile,no significant difference of objective indexes of imaging quality was observed among 3 groups(all P＞0.05).Conclusion Swin2SR model could reconstruct chest SR CT images without increasing noise and improve imaging quality.

Objective To observe the value of Swin2SR network based on Transformer architecture for reconstructing chest super-resolution CT images.Methods Chest CT data of 218 patients were retrospectively collected.Swin2SR model based on Transformer architecture was adopted to enhance standard 512 matrix(512 × 512)CT images(standard-512 group)into 1 024(SR-1 024 group)and 2 048(SR-2 048 group)matrix SR CT images,respectively.Subjective and objective evaluation of image quality were performed,and the results were compared among groups.Results The subjective scores of overall imaging quality and lesion clarity in SR-1 024 and SR-2 048 groups were both higher than those in standard-512 group(all P＜0.05),while no significant difference was found between the former two(P＞0.05).Meanwhile,no significant difference of objective indexes of imaging quality was observed among 3 groups(all P＞0.05).Conclusion Swin2SR model could reconstruct chest SR CT images without increasing noise and improve imaging quality.

At present, liver transplantation is the most effective method for the treatment of various end-stage liver diseases, and electronic health technology is a new medical service model, which can be used as an efficient and cost-effective alternative to the health management of liver transplant recipients. This paper summarizes the application of electronic health technology in postoperative health management of liver transplant recipients, including applications, robots, video conferencing, tablet computers, text messages, telephones and wearable devices, etc., summarizes the implementation effect of electronic health technology in health management of liver transplant recipients, and analyzes the limitations of research and application at the present stage. In order to provide basis and reference for Chinese medical staff to carry out electronic health technology in the health management of liver transplant recipients.