Objective To investigate the temporal changes in pathological damage and macrophage polarization in liver and spleen tissues of mice infected with Angiostrongylus cantonensis, and to preliminarily unravel the peripheral immune responses during the early stage of A. cantonensis infection. Methods Forty female BALB/c mice at ages of 6 to 8 weeks were randomly divided into four groups, including the control group and 7-, 14-, and 21-day infection groups, with 10 mice in each group. Each mouse in the infection groups was inoculated with 30 third-stage (L3) larvae of A. cantonensis by oral gavage, and five mice were randomly selected from each infection group on days 7, 14, and 21 post-infection, while mice in the control group were given the same volume of physiological saline and five mice were randomly selected from the control group on the day of oral gavage. Mouse liver and spleen tissues were sampled. The histopathological changes of mouse liver and spleen tissues were observed using hematoxylin and eosin (HE) staining, and the percentage of positive staining area and the co-localization positive rates of the macrophage surface antigens F4/80, CD86, and CD206 were quantified in mouse liver and spleen tissues using immunohistochemical and immunofluorescence staining. In addition, five mice were collected from each infection group on days 7, 14, and 21 post-infection, and five mice were collected from the control group on the day of oral gavage. Mouse liver and spleen tissues were sampled for detection of macrophage markers CD86 and CD206 and macrophage phenotyping using flow cytometry, and the expression of M1 macrophage markers, including inducible nitric oxide synthase (Nos2), tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β) and M2 markers, including arginase 1 (Arg1), mannose receptor C-type 1 (Mrc1) and chitinase-like protein 3 (Chil3) was quantified in mouse liver and spleen tissues using real-time quantitative PCR (RT-qPCR) assay. Results Proliferative lesions of the hepatocyte were observed in mouse liver tissues and the follicular structures of the mouse spleen white pulp were disrupted 21 days post-infection with A. cantonensis. Immunohistochemical staining showed that there were significant differences in the percentages of F4/80, CD86 and CD206 positive staining areas in the liver and spleen tissues among the four groups of mice (F = 242.40, 197.14, 183.19, 157.65, 242.35 and 146.24; all P values < 0.001), and the percentages of positive staining in the liver and spleen tissues of mice in the 14-day infection group [(4.45 ± 0.51)%, (3.74 ± 0.67)%, (8.32 ± 0.72)%, (16.56 ± 1.14)%, (11.62 ± 0.52)%, and (8.29 ± 0.72)%, respectively] and the 21-day infection group [(3.70 ± 0.11)%, (3.22 ± 0.43)%, (11.53 ± 1.03)%, (12.59 ± 1.05)%, (9.02 ± 0.83)%, and (11.67 ± 1.10)%, respectively] were higher than in the control group [(0.35 ± 0.16)%, (0.40 ± 0.02)%, (0.93 ± 0.05)%, (2.78 ± 0.26)%, (2.33 ± 0.20)%, and (1.85 ± 0.20)%, respectively] (all P values < 0.05). Immunofluorescence staining showed significant differences in the positive rates of F4/80 co-localization with CD86 and CD206 in mouse liver and spleen tissues among the four groups (F = 24.42, 25.28, 54.51 and 130.55; all P values < 0.001). Flow cytometry detected significant differences in the proportions of CD86⁺ and CD206⁺ macrophages in mouse liver and spleen tissues among the four groups (F = 67.98, 18.41, 29.77, 172.80; all P values < 0.001), and the proportions of CD206⁺ macrophages in the liver and spleen of the 21-day infection group were significantly higher than those in the control group [(9.25 ± 2.55)% vs (3.83 ± 0.72)%, and (4.22 ± 0.56)% vs (0.47 ± 0.18)%, respectively] (both P values < 0.05). In addition, RT-qPCR assay quantified significant differences in the relative mRNA expression of M1 macrophage markers (IL-1β, TNF-α and Nos2) and M2 macrophage markers (Arg1, Chil3 and Mrc1) in mouse liver and spleen tissues among the four groups (F = 41.30, 31.82, 199.33, 19.96, 62.01, 119.76, 23.67, 95.90, 72.27, 82.59, 123.41 and 29.75; all P values < 0.05). Conclusions A. cantonensis infection may cause progressive pathological damage in mouse liver and spleen tissues, accompanied by dynamic temporal changes in macrophage polarization. M1 macrophage polarization predominates at the early stage of A. cantonensis infection and shifts towards M2 polarization at the later stages, suggesting that M2 polarization may participate in immune regulation at late stages of A. cantonensis infection by suppressing excessive inflammatory responses and promoting tissue repair.

Objective To construct a nursing registry platform for percutaneous coronary intervention(PCI)to provide data support for subsequent real-world research on PCI nursing.Methods From April to December 2023,we established a variable list and data dictionary based on literature review and expert discussion,and constructed a web-based PCI nursing registry platform based on registry-related standards.Results A total of 191 variables were screened in this study,and a corresponding data dictionary was developed for each variable according to the variable name,variable code,variable definition,variable type,variable value range,data source and data collection node.Three levels of account privileges has been set up in the platform,which can realize different data management privileges,and the data can be saved only after filling in and reviewing at each level.The platform is also equipped with automatic data checking function,which reduces data filling errors and improves data quality.Conclusion The constructed PCI nursing registration platform has strong scientific and professional characteristics,and can provide data support for subsequent research,and the content and functions of the platform can be further optimized in the future.

Objective To evaluate the impact of lens capsule diameter and capsular tension ring(CTR)fit on the ro-tational stability and visual function of Toric intraocular lenses(IOLs)in patients with high myopia cataract after surgery,and to explore the main influencing factors.Methods A prospective study included 100 eyes of patients with high myopia(axial length≥26 mm)who underwent phacoemulsification cataract extraction combined with Toric IOL implantation at the Cataract Department of Hebei Eye Hospital from September 2023 to March 2024.Based on the ratio of the capsule equivalent diameter measured by anterior segment OCT(CASIA2)to the standard diameter of CTR,the eyes were divided into the matched group(ratio of 0.8-1.2)and the unmatched group.Follow-up was conducted at 1 week,1 month,3 months,6 months,and 12 months postoperatively to observe the rotation angle of Toric IOL,residual astigmatism,uncor-rected visual acuity,and other indicators.Safety was assessed based on intraoperative and postoperative complications.Correlation analysis and multiple linear regression were used to explore the impact of capsule-CTR fit,corneal astigmatism,axial length,and other factors on Toric IOL rotation and postoperative refractive status.Results The mean IOL rotation angle at each postoperative time point in the matched group was significantly smaller than that in the unmatched group,with statistically significant differences between groups at different time points(all P＜0.05).The matched group showed better stability in IOL decentration distance and tilt angle.At 12 months postoperatively,the residual astigmatism in the matched group was(0.53±0.29)D,which was better than that in the unmatched group(0.71±0.34)D(P=0.08).The matched group also had more significant improvement in uncorrected visual acuity and higher subjective visual quality scores.Multiple linear regression analysis showed that capsule-CTR fit and preoperative corneal astigmatism were the main independent factors affecting the rotation angle of Toric IOL(R2=0.52)and residual astigmatism(R2=0.46).Conclu-sion For patients with high myopia cataract,precise capsule-CTR matching based on CASIA2 measurement helps improve the rotational stability of Toric IOLs,reduce residual astigmatism,and enhance postoperative visual quality.Personalized CTR model selection is worth promoting and applying.

Objective:To integrate the symptom management experiences of patients with acute decompensated heart failure (ADHF), so as to provide a basis for developing symptom management measures.Methods:Qualitative or mixed studies on the symptom management experience of ADHF patients included from establishment of the database to September 2024, were electronically retrieved in PubMed, CINAHL, Cochrane Library, Web of Science, Embase, EBSCO, China National Knowledge Infrastructure, WanFang Data, VIP, China Biomedical Database and other Chinese and English databases and gray literature databases. The quality of the literature was evaluated using the Critical Appraisal Skills Programme developed by the Center for Evidence-Based Medicine at the University of Oxford. The results were synthesized through the aggregative integration method.Results:A total of 14 papers were included. Thirty-four findings were distilled into eight categories and three integrative findings, namely, the multiple challenges posed by symptoms (complex and multiple symptomatic somatic experiences, symptom-induced mood changes, and reduced family and social engagement), the unmet needs of patients (insufficient healthcare resources, insufficient supply of discharge services provided by healthcare organizations, and lack of knowledge), and the co-existence of positive and negative coping styles (negative coping styles in symptomatic distress, positive debugging and diversified coping in symptomatic distress) .Conclusions:ADHF symptoms severely affect patients' physical, psychological, and social function. Healthcare professionals should focus on the unmet needs of patients with ADHF and explore patient-engaged models of active symptom management.

Objective To explore the clinical feasibility of predicting ischemic penumbra(IP)in patients with acute cerebral infarction based on multiparameter magnetic resonance imaging(MRI)radiomics and deep learning.Methods A total of 105 patients with acute cerebral infarction treated at our hospital between January 2020 and January 2024 were divided into non-IP(n=36)and IP(n=69)groups according to the results of MRI diffusion-weighted imaging(DWI).The clinical data of the two groups were collected,and multipa-rameter MRI radiomics features were screened.Clinical,radiomics,and deep learning models were constructed,and their distinguishing powers were evaluated.A fused model was constructed,and the receiver operating characteristic(ROC),calibration,and clinical decision curves were used to evaluate the predictive efficacy of the four models.Results Increases in the admission National Institutes of Health Stroke Scale(NIHSS)score,anisotropy score(FA),apparent diffusion coefficient(ADC),average diffusion coefficient(DCavg),and N-acetyl aspartate(NAA)were protective factors for IP.An increase in the lactic acid(Lac)level was a risk factor for IP(P<0.05).Of the six considered deep learning models,the support vector machine model performed the best,with an accuracy of 0.952(100/105),sensi-tivity of 0.957(66/69),and specificity of 0.944(34/36).These three models can distinguish the patients with IP.The four models exhibited high differentiation,accuracy,and effectiveness;the prediction efficiency of the fused model was the highest.Conclusion The fused model based on clinical features,multiparameter MRI radiomics,and deep learning accurately predicts IP in patients with acute cerebral infarction and can be used to provide personalized prediction results.

In terms of the complexity of the"left"and"right"concepts,these directional terms not only indicate spatial orientation but also embody hierarchical order,official titles,systemic imbalances,and temporal sequences.This study explains the medical theory of"liver is born on the left and lung is hidden on the right,"and reveals its implications for ascending and descending of qi movement pathways,sequential patterns,non-equilibrium states,and the centrality of the middle,thus linking the connotation of this theory and its application.In view of this,the theory of"liver is born on the left and lung is hidden on the right"can be used in the clinical diagnosis and treatment of qi-blood-body fluid and emotional diseases,and guides disease prevention and treatment,as well as enhances the subjective initiative of health maintenance and longevity.This study not only deepens the modern interpretation of the classical theory but also provides novel perspectives for its application in disease prevention and treatment.

Objective To explore the clinical feasibility of predicting ischemic penumbra(IP)in patients with acute cerebral infarction based on multiparameter magnetic resonance imaging(MRI)radiomics and deep learning.Methods A total of 105 patients with acute cerebral infarction treated at our hospital between January 2020 and January 2024 were divided into non-IP(n=36)and IP(n=69)groups according to the results of MRI diffusion-weighted imaging(DWI).The clinical data of the two groups were collected,and multipa-rameter MRI radiomics features were screened.Clinical,radiomics,and deep learning models were constructed,and their distinguishing powers were evaluated.A fused model was constructed,and the receiver operating characteristic(ROC),calibration,and clinical decision curves were used to evaluate the predictive efficacy of the four models.Results Increases in the admission National Institutes of Health Stroke Scale(NIHSS)score,anisotropy score(FA),apparent diffusion coefficient(ADC),average diffusion coefficient(DCavg),and N-acetyl aspartate(NAA)were protective factors for IP.An increase in the lactic acid(Lac)level was a risk factor for IP(P<0.05).Of the six considered deep learning models,the support vector machine model performed the best,with an accuracy of 0.952(100/105),sensi-tivity of 0.957(66/69),and specificity of 0.944(34/36).These three models can distinguish the patients with IP.The four models exhibited high differentiation,accuracy,and effectiveness;the prediction efficiency of the fused model was the highest.Conclusion The fused model based on clinical features,multiparameter MRI radiomics,and deep learning accurately predicts IP in patients with acute cerebral infarction and can be used to provide personalized prediction results.

Objective:To analyze the current status and trends of lung cancer incidence and mortality in China and selected global regions, providing evidence for lung cancer prevention strategies in China.Methods:We extracted data from the GLOBOCAN 2022 database. Age-standardized Incidence rate (ASIR) and Age-standardized Mortality rate (ASMR) were calculated using Segi's world standard population. Epidemiological patterns were analyzed by region, age, sex, and human development index (HDI). Simple linear regression and Spearman's rank correlation coefficient were used to examine associations between HDI and ASIR/ASMR.Results:In 2022, global lung cancer incidence and mortality reached 2.48 million and 1.82 million cases respectively, with age-standardized rates of 23.6 per 100 000 (ASIR) and 16.8 per 100 000 (ASMR). Gender disparities were prominent, with male ASIR and ASMR being 2.0-fold and 2.5-fold higher than females. Elderly populations showed 11.6-fold higher ASIR and 14.4-fold higher ASMR compared to working-age adults. HDI demonstrated strong positive correlations with both ASIR ( r=0.79, P＜0.001) and ASMR ( r=0.74, P＜0.001). China accounted for 1.06 million new cases and 0.73 million deaths, with ASIR (40.8 per 100 000) and ASMR (26.7 per 100 000) exceeding global averages by 1.7-fold and 1.6-fold respectively. Chinese males showed 1.7-fold higher ASIR and 2.7-fold higher ASMR than females. Trend analysis revealed persistently high male incidence in China whereas rapidly increasing female rates, narrowing gender disparities. Projections estimate 1.80 million incident cases and 1.41 million deaths by 2050, representing 69.3% and 92.0% increases from 2022 levels. Conclusions:Significant heterogeneity exists in lung cancer burden across demographics and development levels, with strong HDI correlations. China bears disproportionate disease burden, necessitating intensified prevention efforts. These findings underscore the urgency of targeted interventions in high-risk populations.

Objective:To comprehensively evaluate the cost and cost-effectiveness of the colorectal cancer screening program for key populations in Zhejiang Province from 2020 to 2022, and provide reference for optimizing colorectal cancer screening strategies.Methods:Based on the colorectal cancer screening program for key populations in Zhejiang Province from 2020 to 2022, parameters such as initial screening positivity rates, colonoscopy compliance rates, and detection rates for colorectal-related lesions among residents aged 50-74 were obtained. Questionnaire surveys assessed program costs and direct medical costs associated with colorectal cancer-related lesions. From a health system perspective, the cost-effectiveness ratio was calculated using the Early Detection Cost Index (EDCI) and the cost per detected case, followed by sensitivity analysis.Results:A total of 5 881 364 screenings were completed from 2020 to 2022. The initial screening positive rate (positive for either questionnaire or fecal immunochemical testing ) was 16.83%, with a colonoscopy compliance rates of 33.96% ( n=336 150). Detection rates for non-advanced adenomas, advanced adenomas, and colorectal cancer were 24.83% ( n=83 453), 11.91% ( n=40 033), and 1.01% ( n=3 397), respectively. Initial screening positivity rates and detection rates increased with age, while colonoscopy compliance rates decreased with age. Cost analysis showed a total project investment of 378 730 457 yuan, with initial screening costing 146 633 103 yuan (38.72%) and diagnostic colonoscopy 232 097 354 yuan (61.28%). The average cost per initial screening and diagnostic colonoscopy was 24.93 and 690.46 yuan, respectively. Direct medical costs for non-advanced adenomas, advanced adenomas, and colorectal cancer at stages Ⅰ, Ⅱ, Ⅲ, and Ⅳ were 4 921, 8 380, 42 547, 62 156, 66 720, and 72 334 yuan, respectively. Cost-effectiveness analysis indicated that screening needed to detect one case of colorectal cancer required 1 731 people and cost 111 490 yuan; the cost per detected advanced adenoma was 9 460 yuan, and the EDCI was 0.09. Costs decreased with increasing age per detected colorectal lesion. Sensitivity analysis showed that increasing colonoscopy compliance could reduce the cost-effectiveness ratio. Conclusions:The colorectal cancer screening program for key populations in Zhejiang Province demonstrates cost-effectiveness. Improving colonoscopy compliance can enhance overall screening effectiveness and economic benefits.

Cardiovascular nursing research focuses on solving practical nursing problems, and nursing practice is continuously improved based on nursing research. This article provides an overview of the development of cardiovascular nursing research, summarizes and generalizes the current research status and future research hotspots in cardiovascular nursing according to the Fuwai Subject Headings, aiming to provide references for nursing staff.