Climate change has evolved from an environmental issue into a global public health crisis, posing severe challenges to healthcare systems. Issues such as shifts in patient disease patterns, increased care demands for vulnerable populations, and insufficient resilience in nursing systems are becoming increasingly prominent. As the frontline of healthcare delivery, nursing practice directly confronts multiple health risks triggered by climate change. Under the Healthy China 2030 strategy, the role of nursing in addressing climate change cannot be overlooked. Therefore, this paper systematically reviewed the impacts of climate change on nursing practice and corresponding domestic and international strategies, and proposed recommendations for localized development pathways. First, strengthen climate health literacy in nursing education by integrating the climate change system into curricula and clinical practice. Second, promote nursing policy participation in global health governance to establish a climate-adaptive nursing policy system with Chinese characteristics. Finally, establish a multidisciplinary nursing research framework to foster integration among nursing science, climate science, public health, traditional Chinese medicine, and other relevant fields. This paper aims to provide theoretical foundations for constructing a climate-adaptive nursing system with Chinese characteristics, thereby advancing the coordinated development of Healthy China initiative and climate governance.

Objective:To construct and validate a predictive model for postoperative pulmonary complications (PPCs) in patients undergoing robot-assisted laparoscopic urological surgery.Methods:This retrospective study included the medical records of 932 patients who underwent robot-assisted laparoscopic urological surgery at the First Affiliated Hospital of Zhejiang University School of Medicine from January 2020 to February 2022. The patients were divided into a training group ( n=559) and a validation group ( n=373) at a 6∶4 ratio. Logistic regression analysis was used to determine the independent risk factors for PPCs, and a nomogram prediction model was constructed based on these factors. The performance of the model was evaluated using the receiver operating characteristic curve and calibration curve, and the clinical benefit was assessed using the clinical decision curve analysis. Results:The independent risk factors for PPCs included advanced age (>60 yr), smoking history, respiratory tract infection within 1 month, preoperative low SpO 2 (<96%), and prolonged length of postoperative hospital stay ( P<0.05), and the body mass index (18.5-<28.0 kg/m 2) was a protective factor. The nomogram prediction model developed based on the aforementioned 6 influencing factors had an area under the receiver operating characteristic curve of 0.81 (95% confidence interval 0.76-0.86) in training group and 0.80 (95% confidence interval 0.75-0.86) in validation group. The calibration curve indicated a good consistency between the predicted and actual occurrence curves, and the clinical decision curve analysis showed good accuracy and net benefit of the prediction model. Conclusions:The predictive model for PPCs is successfully constructed based on age, low body mass index, smoking history, history of respiratory tract infection within 1 month, preoperative low SpO 2 and prolonged length of postoperative hospital stay and has good predictive performance in patients undergoing robot-assisted laparoscopic urological surgery.

Objective:To investigate clinical efficacy and safety of dupilumab in the treatment of moderate to severe atopic dermatitis (AD) complicated with asthma.Methods:A self-controlled study before and after treatment was conducted to retrospectively analyze 45 patients with moderate to severe atopic dermatitis combined with asthma who received dupilumab in the respiratory allergy clinic of North Theater Command General Hospital from January 2021 to May 2024, which age ≥12 years, including 27 males, 18 females. The treatment period was 4 to 12 months. All patients were treated with dupilumab combined with inhaled glucocorticoids and long-acting beta2-receptor agonists, as well as symptomatic drugs for atopic dermatitis. Analyze the clinical data of the patients before and after treatment, including lung function, asthma and AD-related assessment scales. Generalized estimation equation was used to analyze the simple effect of time on the repeated measurement data following non-normal distribution, and Wilcoxon signed rank test was used to compare the differences of each observation index before and after treatment.Results:Among 45 patients with moderate to severe atopic dermatitis complicated with asthma, after treatment with dupilumab, the FEV 1 increased from 2.39 (1.87, 2.83) L at baseline to 2.50 (1.84, 2.97) L 3 months after treatment ( Z=2.417, P=0.016), 2.60 (1.95, 3.14) L 6 months after treatment ( Z=2.896, P=0.004); the FEV 1pred% increased from 74.10% (67.70%, 78.75%) at baseline to 77.09% (68.40%, 80.24%) at 3 months after treatment ( Z=2.574, P=0.010), and 77.20% (71.10%, 80.72%) at 6 months after treatment ( Z=2.861, P=0.004). Meanwhile, there were statistically significant differences in the ACT and Mini-AQLQ scales at 3, 6, and 12 months after treatment compared with those before treatment (ACT score Z=3.170, 4.216, 5.723; Mini-AQLQ score Z=3.231, 4.133, 5.826; all P<0.05). The EASI scale decreased from baseline 25.90 (18.95, 33.45) to 6.20 (1.15, 8.35) at 4 months after treatment ( Z=5.842, P<0.05) and 4.90 (2.75, 8.35) at 6 months after treatment ( Z=5.841, P<0.05), 4.00 (3.15, 5.05) at 12 months after treatment ( Z=5.841, P<0.05); The scores of each scale of IGA, NRS and DLQI decreased significantly compared with the baseline after 4 months, 6 months and 12 months of treatment, and this trend became more obvious with the extension of treatment time. The differences were statistically significant (IGA score Z=6.247, 6.070, 5.946; NRS score Z=5.960, 5.893, 5.879; DLQI score Z=5.880, 5.850, 5.848; all P<0.05). During treatment, 1 patient had local adverse reactions at the injection site and 1 patient had conjunctivitis. Conclusion:Dupilumab may have a positive effect on improving the clinical efficacy of patients with moderate to severe atopic dermatitis complicated with asthma. During the 12-month observation period, this biological agent generally demonstrated good safety characteristics.

AIM:To investigate the effects of the Qingfei-Jiedu-Huatan formula(QJHF)on damage to the lung vascular endothelial barrier induced by Klebsiella pneumoniae in mice with severe pneumonia,as well as to elucidate its underlying mechanisms.METHODS:Fifty-one C57BL/6J mice were randomly divided into control group(n=6),model group(n=15),QJHF group(n=15),and ceftriaxone sodium(CRO)group(n=15).Severe pneumonia was in-duced in the mice by a single tracheal intubation with 50 μL of 1×1011 CFU/mL Klebsiella pneumoniae on day 0.Six hours after modeling,the mice in QJHF and CRO groups received their respective treatments,while those in control and model groups were administered an equal volume of saline.All mice were sacrificed on day 3 after the end of gavage.Lung histo-pathological changes were assessed using hematoxylin-eosin(HE)staining.Levels of tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β),and IL-6 in lung tissues were measured by enzyme-linked immunosorbent assay(ELISA).Flow cytometry was used to detect CD11b+Ly6g+cells in bronchoalveolar lavage fluid(BALF).Proteomics and network pharma-cology analyses were conducted to elucidate the mechanisms of drug action.Western blot was conducted to assess the ex-pression levels of vascular endothelial cadherin(VE-cadherin),zonula occludens-1(ZO-1),occludin,vascular endothe-lial growth factor(VEGF),P38 mitogen-activated protein kinase(P38),and phosphorylated P38(p-P38)in lung tis-sues.RESULTS:Treatment with QJHF significantly attenuated the symptoms such as mental status and respiratory dis-tress,reduced mortality,mitigated lung tissue lesions,and decreased levels of IL-6,TNF-α,IL-1β,as well as BALF to-tal protein concentration,total cell count and neutrophil content in a mouse model of severe pneumonia(P＜0.05 or P＜0.01).Additionally,QJHF increased the expression of VE-cadherin,ZO-1 and occludin proteins in lung tissues.Pro-teomic analysis demonstrated that QJHF modulated the expression of 129 proteins in the lung tissues of mice suffering from severe pneumonia.Network pharmacology identified 328 potential targets associated with 14 major bioactive components of QJHF and 1 665 genes related to severe pneumonia,with 125 overlapping genes between the two datasets.The construc-tion of a protein-protein interaction(PPI)network,along with Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses of the regulated proteins and overlapping genes,indicated that QJHF primarily in-fluenced the PI3K-Akt,MAPK and Rap1 signaling pathways,as well as VEGFR.Western blot analysis showed that QJHF significantly inhibited the expression of VEGF and P38 in lung tissues(P＜0.05 or P＜0.01).CONCLUSION:Treatment with QJHF attenuates severe pneumonia in mice,potentially by inhibiting VEGF/P38 signaling to protect the vascular endothelial barrier.

Objective:To construct and validate a predictive model for postoperative pulmonary complications (PPCs) in patients undergoing robot-assisted laparoscopic urological surgery.Methods:This retrospective study included the medical records of 932 patients who underwent robot-assisted laparoscopic urological surgery at the First Affiliated Hospital of Zhejiang University School of Medicine from January 2020 to February 2022. The patients were divided into a training group ( n=559) and a validation group ( n=373) at a 6∶4 ratio. Logistic regression analysis was used to determine the independent risk factors for PPCs, and a nomogram prediction model was constructed based on these factors. The performance of the model was evaluated using the receiver operating characteristic curve and calibration curve, and the clinical benefit was assessed using the clinical decision curve analysis. Results:The independent risk factors for PPCs included advanced age (>60 yr), smoking history, respiratory tract infection within 1 month, preoperative low SpO 2 (<96%), and prolonged length of postoperative hospital stay ( P<0.05), and the body mass index (18.5-<28.0 kg/m 2) was a protective factor. The nomogram prediction model developed based on the aforementioned 6 influencing factors had an area under the receiver operating characteristic curve of 0.81 (95% confidence interval 0.76-0.86) in training group and 0.80 (95% confidence interval 0.75-0.86) in validation group. The calibration curve indicated a good consistency between the predicted and actual occurrence curves, and the clinical decision curve analysis showed good accuracy and net benefit of the prediction model. Conclusions:The predictive model for PPCs is successfully constructed based on age, low body mass index, smoking history, history of respiratory tract infection within 1 month, preoperative low SpO 2 and prolonged length of postoperative hospital stay and has good predictive performance in patients undergoing robot-assisted laparoscopic urological surgery.

Anticipatory anxiety is a negative emotion that arises when individuals encounter potential threats or uncertainties in the future. It is the core symptom of a variety of anxiety disorders, and is closely associated with the occurrence, severity, treatment outcome, and prognosis of anxiety disorders, which has garnered a growing amount of focus in clinical practice. Nevertheless, scientific research on anticipatory anxiety continues to face obstacles such as unclear pathological mechanisms, the absence of simple and consistent self-assessment tools, and effective interventions. To improve understanding of the role of anticipatory anxiety in the diagnosis and treatment of anxiety disorders, this study reviews pertinent domestic and international literature, and briefly introduces the concept, assessment and measurement, activation paradigm, pathological mechanisms, and interventions of anticipatory anxiety.

Objective:To investigate the views of doctors on the incidence and treatment tactics of mild progression after epithelial growth factor receptor tyrosine kinase inhibitor(EGFR-TKI)treatment in lung adenocarcinoma and provide suggestions to optimize the counter-measure strategies.Methods:Convenience sampling was used to conduct an online questionnaire survey for doctors specializing in onco-logy and respiratory diseases.Results:584 valid questionnaires were collected,and all the doctors expressed concerns regarding mild tumor progression after EGFR-TKI treatment.The coping strategies included maintaining the original TKI treatment,adding other treatments to the original TKI,changing the regimen,and performing secondary tissue biopsy,among which,most doctors chose to add other treatments to the original TKI.Conclusions:Doctors have noticed the enlargement of target lesions in still stable disease(SD)and most frequently chose to add other treatments to the original TKI as a coping strategy.This finding can provide a reference for framing future guidelines for large sample prospective clinical studies that are needed to find the most effective synergistic treatment options.

Objective:To explore the significance of any correlation between the cost of the rehabilitation provided to stroke survivors during their hospitalization and the functional levels attained, and to analyze factors influencing that correlation.Methods:The International Classification of Functioning, Disability and Health Rehabilitation Set (ICF-RS) was used to evaluate the functioning of 304 stroke survivors on their days of hospital admission and discharge, as well as on their 10th day in hospital. The cost of their rehabilitation was computed, and demographic and clinical data were collected. A generalized estimation equation was used to analyze the changes in dysfunction with time and its risk factors. The relationship between functional levels and rehabilitation cost and its influencing factors were analyzed.Results:Length of stay, age≥60 and hemorrhagic stroke were significant risk factors for greater dysfunction among the stroke survivors. On the 10th day in hospital and the day before discharge (the 18th day), the frequency of severe dysfunction had decreased. The significant predictors of increased cost were severe or moderate dysfunction, the stage of stroke (sub-acute stage), and non-first rehabilitation.Conclusion:Functional level is a useful predictor of rehabilitation cost. It is influenced by the stage of stroke and non-first rehabilitation.

Medical equipment, as an important indicator of smart hospital evaluation, plays a vital role in hospital operations. To ensure the safe and efficient operation of medical equipment, a reasonable performance evaluation system is indispensable. This study introduces a platform based on Internet of Things (IoT) technology that connects medical devices and collects data, achieving standardized and structured data processing, and supporting online operational supervision. Through the Delphi method, a performance evaluation system for large medical equipment is constructed, including 4 primary indicators and 22 secondary indicators. DICOM data acquisition devices are used to achieve functions such as efficiency analysis, benefit analysis, usage evaluation, and decision-making support for medical equipment. The study is still in its early stages, and in the future, it is expected to integrate more types of equipment, achieve rational resource allocation, and significantly impact decision-making for the development of public hospitals.
Internet of Things ; Delphi Technique

Objective:To evaluate the effectiveness of an integrated management model involving the Centers for Disease Control and Prevention (CDC), general hospitals, and community health service centers in improving outcomes for community-dwelling patients with chronic obstructive pulmonary disease (COPD), with the aim of optimizing existing COPD management strategies.Methods:This study was a cluster randomized controlled trial. From January to March 2022, a total of 236 patients with COPD were recruited from four communities in Chibi City, Hubei Province. Ultimately, 223 patients completed follow-up and participated in the intervention evaluation. The participants were cluster-randomized into an intervention group ( n=121) and a control group ( n=102). The intervention group received a one-year "trinity" integrated community management model, while the control group received only basic follow-up. Face-to-face questionnaires were administered before and after the intervention to collect data on demographics, disease awareness, risk factors, respiratory symptoms, medication use, and disease management. Quality of life scores and pulmonary function tests were also assessed. Pre-and post-intervention outcomes were compared using t-tests or chi-square tests. Results:The intervention group demonstrated significantly higher rates of COPD awareness and disease-related knowledge compared to the control group (94.12% vs 77.78% and 78.15% vs 49.49%; both P<0.05), along with lower overall smoking rate and current smoking rate (57.14% vs 70.71% and 29.41% vs 47.47%; both P<0.05). The intervention group showed reduced household polluting fuel use for heating (17.65% vs 28.93%; P<0.05), while the control group exhibited no significant change. Significant improvements were observed in the intervention group for inhaler medication usage (14.05% vs 2.94%), exercise training, and respiratory muscle training (22.31% vs 2.94% and 26.45% vs 0.98%)(all P<0.05). Additionally, the intervention group reported lower prevalence of chronic sputum production, wheezing, and dyspnea (12.40%, 0.83%, 27.27% vs 24.51%, 9.80%, 41.18%; all P<0.05) compared to controls. Pulmonary function tests revealed that the percentage of forced expiratory volume in one second (FEV 1%predicted) was significantly higher in the intervention group than in the control group [(69.53±18.01)% vs (54.90±12.39)%; both P<0.05]. Conclusions:The "trinity" integrated management model effectively enhances health literacy, self-management capabilities, and quality of life among COPD patients, while reducing behavioral risk factors. This model aligns with the long-term and individualized management needs of COPD patients.