Background Ozone (O₃) is a major air pollutant. The existing monitoring system has uneven distribution of sites, insufficient coverage in underdeveloped areas, and low temporal resolution, making it difficult to obtain hourly data. This limits the dynamic identification of pollution and the formulation of prevention and control strategies. Objective To construct an hourly O₃ concentration estimation model based on ensemble machine learning, aiming to improve the accuracy of pollution exposure assessment and explore O₃ health impacts. Methods This study integrated land use regression modeling with modern machine learning techniques, employing random forest and XGBoost algorithms to construct base models, and stacking integration using non-negative least squares. The ensemble model was trained and validated across China using high-resolution, multi-source geographic data (e.g., meteorologicaldata, population density, land cover types, and aerosol optical thickness). It was tested in Taiyuan City, combined with a distributed lag non-linear model to analyze the association between O₃ and emergency admissions. Results The constructed ensemble model performed well in predicting O₃ concentration, with a higher coefficient of determination (R²) and a lower root-mean-square deviation (RMSE) compared to the single models. The R² improved from 0.90 to 0.92, and the RMSE decreased from 11.41 to 10.62, enhancing both prediction accuracy and generalization ability. In the application to Taiyuan City, the model successfully imputed the hourly-level data for the entire year. The distributed lag non-linear model analysis revealed that the relative risk (RR) values for the 6th to 8th days following O₃ exposure were 1.14 (95%CI: 1.01, 1.29), 1.16 (95%CI: 1.02, 1.31), and 1.14 (95%CI: 1.01, 1.29), respectively, which were significantly higher than 1, indicating a significant lagged association (lagged 6-8 d) between O₃ and the number of emergency room visits. Conclusion A high-precision, hourly-level O₃ concentration estimation model is successfully constructed by combining the land use regression model with an ensemble machine learning approach to provide a scientific basis for environmental policy formulation and public health intervention. The application of the model verifies its generalization ability and practical application value, which can provide a new technical framework for subsequent environmental health research.

Objective To investigate the influencing factors of pulmonary and extrapulmonary acute re-spiratory distress syndrome(ARDS)caused by sepsis.Methods A total of 126 patients with ARDS admitted to the Department of Critical Care Medicine,General Hospital of Ningxia Medical University,from January 2022 to June 2024 were selected.Patients were divided into pulmonary ARDS and extrapulmonary ARDS groups based on the etiology of ARDS.General data,inflammatory indicators,and prognostic outcomes were compared between the two groups.COX regression analysis was used to identify prognostic factors.Results A-mong the 126 patients,72 were diagnosed with pulmonary ARDS and 54 with extrapulmonary ARDS.The pulmonary ARDS group had significantly lower SOFA scores,fewer organ dysfunctions,a lower incidence of arrhythmia,shorter mechanical ventilation duration,higher Murray scores,and higher Charlson Comorbidity Index(CCI)compared to the extrapulmonary ARDS group(P<0.05).Inflammatory markers,including pro-calcitonin(PCT),C-reactive protein(CRP),interleukin(IL)-4,IL-6,IL-10,and tumor necrosis factor-α(TNF-α),were significantly lower in the pulmonary ARDS group,while interferon-γ(INF-γ)levels were higher(P<0.05).For pulmonary ARDS,CCI and TNF-α were identified as independent risk factors for prog-nosis(P<0.05),with the combination of CCI and TNF-α yielding the highest predictive accuracy(AUC=0.81,95%CI:0.71-0.91).For extrapulmonary ARDS,CCI and CRP were independent risk factors(P<0.05),and their combination achieved the highest predictive performance(AUC=0.91,95%CI:0.84-0.98).Conclusion Inflammatory profiles between pulmonary and extrapulmonary ARDS caused by sepsis are different.CCI and TNF-α are independent risk factors for mortality in pulmonary ARDS,while CCI and CRP are independent risk factors in extrapulmonary ARDS.

Objective To investigate the correlation between skeletal muscle mass index(ASMI)and islet β cell reserve function in patients with newly diagnosed type 2 diabetes mellitus(T2DM).Methods A total of 100 patients with newly diagnosed T2DM were included in this study.All the patients were admitted to the Department of Endocrinology in the First People's Hospital of Yinchuan between June 2022 and November 2023.They were divided into two groups according to their skeletal muscle mass index(ASMI):patients with T2DM accompanied by sarcopenia(Sar,n=50)group,and patients with simple T2DM(T2DM,n=50)group.Additionally,a control(NC)group consisting of 50 healthy participants was selected.Fasting C-peptide levels,liver and kidney function,blood lipid profiles,and other indicators were assessed in all the individuals.The correlation between ASMI and other indicators was analyzed,and the influencing factors for ASMI and T2DM combined with sarcopenia were analyzed respectively.Results The levels of HbA1c,FPG,and TG were higher,while FC-P and Scr levels were lower in the T2DM group and Sar group compared with the NC group(P<0.05).FPG was higher,while ASMI,FC-P,BMI were lower in the Sar group than in the T2DM group(P<0.05).Spearman correlation analysis revealed a negative correlation between ASMI and FPG and HbA1c(P<0.05),whereas a positive correlation was observed with BMI,ALT,Scr,SUA and FC-P(P<0.05).Multiple linear regression analysis indicated that BMI,HbA1c and FC-P were influencing factors for ASMI(P<0.05).Furthermore,logistic regression analysis demonstrated that BMI,HbA1c,FC-P were influencing factors for T2DM with sarcopenia(P<0.05).Conclusions The level of ASMI may be related to the reserve function of islet β cells.

Objective:To explore the mediating effect of dyadic coping between perceived social support and family cohesion and adaptability and happiness in spouses of patients with post-stroke motor impairments.Methods:From December 2023 to May 2024, a total of 366 spouses of patients with post-stroke motor impairments who received treatment at the First Affiliated Hospital of Zhengzhou University were recruited as study participants. Data were collected using the general information, perceived social support scale, dyadic coping inventory, Chinese version of the family cohesion and adaptability scale(FACESⅡ-CV), and memorial University of Newfoundland scale of happiness. The AMOS 21.0 software was utilized to construct a structural equation model to examine the mediating effect of dyadic coping between perceived social support, family cohesion and adaptability and happiness.Results:The spouses of patients with post-stroke motor impairments reported overall scores for perceived social support (62.80±12.80), dyadic coping (117.07±20.78), family cohesion and adaptability (115.96±19.51), and happiness (22.27±7.29). Family cohesion and adaptability was positively correlated with dyadic coping and perceived social support ( r=0.614, 0.520, both P<0.01).Spousal happiness was positively correlated with dyadic coping and perceived social support ( r=0.296, 0.202, both P<0.01).The spouses recognized that perceived social support had a positive correlation with dyadic coping ( r=0.479, P<0.01).Dyadic coping played a partial mediating effect between perceived social support and family cohesion and adaptability as well as happiness, accounting for 32.41% (0.211/0.651) and 44.39% (0.190/0.428) of the total effect, respectively. Conclusion:Dyadic coping is the mediating variable of family cohesion, adaptability and happiness of spouses of patients with post-stroke motor impairments. Medical staff should try to construct a dyadic coping intervention plan to improve the dyadic coping level of spouses of patients with post-stroke motor impairments, so as to improve their family happiness index.

Objective:To explore the mediating effect of dyadic coping between perceived social support and family cohesion and adaptability and happiness in spouses of patients with post-stroke motor impairments.Methods:From December 2023 to May 2024, a total of 366 spouses of patients with post-stroke motor impairments who received treatment at the First Affiliated Hospital of Zhengzhou University were recruited as study participants. Data were collected using the general information, perceived social support scale, dyadic coping inventory, Chinese version of the family cohesion and adaptability scale(FACESⅡ-CV), and memorial University of Newfoundland scale of happiness. The AMOS 21.0 software was utilized to construct a structural equation model to examine the mediating effect of dyadic coping between perceived social support, family cohesion and adaptability and happiness.Results:The spouses of patients with post-stroke motor impairments reported overall scores for perceived social support (62.80±12.80), dyadic coping (117.07±20.78), family cohesion and adaptability (115.96±19.51), and happiness (22.27±7.29). Family cohesion and adaptability was positively correlated with dyadic coping and perceived social support ( r=0.614, 0.520, both P<0.01).Spousal happiness was positively correlated with dyadic coping and perceived social support ( r=0.296, 0.202, both P<0.01).The spouses recognized that perceived social support had a positive correlation with dyadic coping ( r=0.479, P<0.01).Dyadic coping played a partial mediating effect between perceived social support and family cohesion and adaptability as well as happiness, accounting for 32.41% (0.211/0.651) and 44.39% (0.190/0.428) of the total effect, respectively. Conclusion:Dyadic coping is the mediating variable of family cohesion, adaptability and happiness of spouses of patients with post-stroke motor impairments. Medical staff should try to construct a dyadic coping intervention plan to improve the dyadic coping level of spouses of patients with post-stroke motor impairments, so as to improve their family happiness index.

Objective To investigate the expression and clinical significance of serum cystatin SA(Cystatin SA)and long non-coding RNA(lncRNA)promoter of CDKN1A antisense DNA damage activated RNA(PANDAR)in patients with type 2 dia-betic kidney disease(T2DN).Method A total of 142 patients with type 2 diabetes mellitus(T2DM)admitted to Shanghai Jiao Tong University School of Medicine Suzhou Jiulong Hospital from February 2021 to October 2023 were selected.According to whether they had nephropathy,they were divided into T2DN group(n=82)and non-T2DN group(n=60).60 healthy people who underwent physical examination during the same period were used as the control group.Serum Cystatin SA levels were detected by enzyme-linked immunosorbent assay(ELISA).Serum lncRNA PANDAR level was detected by real-time fluorescence quanti-tative PCR.Pearson correlation analysis was used to analyze the correlation between serum Cystatin SA,lncRNA PANDAR and clinical parameters in T2DN patients.Logistic regression analysis was used to analyze the influencing factors of T2 DN.The re-ceiver operating characteristic(ROC)curve was used to analyze the value of serum Cystatin SA and lncRNA PANDAR in the evaluation of T2DN.Results Serum Cystatin SA(236.28±44.63 ng/L)and serum lncRNA PANDAR(3.21±0.34)in the T2DM group were higher than those in the control group(91.25±22.33 ng/L,1.06±0.23),and the differences were statistically significant(t=23.127,42.379,all P<0.001).Serum Cystatin SA(275.08±46.83 ng/L)and lncRNA PANDAR(3.64±0.38)in T2DN group were higher than those in non-T2DN group(183.25±40.88 ng/L,2.62±0.30),and the differences were statistically significant(t=12.169,17.226,all P<0.001).Serum Cystatin SA and lncRNA PANDAR in T2DN patients were positively correlat-ed with diabetes duration,serum creatinine(sCr),blood urea nitrogen(BUN)and UACR(r=0.562～0.750,all P<0.001),and neg-atively correlated with eGFR(r=-0.656,-0.634,all P<0.001).Serum Cystatin SA,lncRNA PANDAR,duration of diabetes,UACR,sCr were risk factors for T2DN,eGFR was a protective factor(Wald χ2=4.257～12.360,all P<0.001).The area under the curve(AUC)of serum Cystatin SA combined with lncRNA PANDAR in predicting T2DN was 0.920(0.899～0.960),which was greater than that of single index[0.847(0.791～0.887),0.851(0.803～0.896)],and the differences were statistically significant(Z=4.522,4.319,all P<0.05).Conclusion Serum Cystatin SA and lncRNA PANDAR are elevated in patients with T2DN,which are related to renal function indexes and are risk factors affecting the occurrence of T2DN.The combination of the two can effec-tively evaluate the occurrence of T2DN.

Objective:To explore the dilemmas in skin management of patients undergoing bariatric metabolic surgery, so as to provide a reference for constructing a skin management program.Methods:This study was a phenomenological study. Using purposive sampling method, 18 patients who underwent bariatric metabolic surgery and had follow-up visits at Nanyang Central Hospital from March to May 2024 were selected for face-to-face semi-structured in-depth interviews. The interview data were organized and analyzed using the Colaizzi seven-step analysis of phenomenological data.Results:A total of three themes and ten sub-themes were extracted, namely, difficulties in self-coping (difficulties in coping with physical discomfort, life distress and negative emotional distress caused by skin symptoms), insufficient social support (experiencing cold violence from family members, suffering from social isolation, insufficient support from professionals, and limited information sharing), and difficulties in decision-making for weight loss and body contouring (cognitive deficits, concerns about complications, and financial difficulties) .Conclusions:Patients undergoing bariatric metabolic surgery face multiple dilemmas during skin management. Healthcare professionals should develop targeted skin management programs based on the specific problems faced by patients to increase patients' attention to skin management and their ability to self-manage and maintain their physical and mental health.

Objective To systematically evaluate the incidence and influencing factors of axillary web syndrome(AWS)in postoperative breast cancer patients,and to provide evidence for reducing the incidence of axillary web syndrome.Methods A computer search was performed in China National Knowledge Infrastructure(CNKI),VIP,Wanfang,SinoMed,PubMed,Medline,Scopus,The Cochrane Library,Web of Science,Embase,searched for articles on AWS influencing factors of breast cancer published from the establishment of the database to January 6th,2025.The articles were screened according to the inclusion and exclusion criteria.Revman5.4 and Stata17.0 were used for systematic review.Results Fifteen studies involving 3979 breast cancer patients and 1 156 patients with AWS were included.The results of the Meta-analysis showed that there was significant statistical heterogeneity among the included studies(I2=97.0%,P<0.0001).Using the random effects model,the incidence of AWS was 32.2%[95%CI(0.24,0.40),P<0.0001].The influencing factors for AWS after breast cancer surgery are age,body mass index(BMI),total mastectomy,lymph node metastasis,and neoadjuvant chemotherapy.NAC),axillary lymph node dissection(ALND),and the number of harvested axillary lymph nodes.Conclusion The incidence of AWS after breast cancer surgery was high.Clinicians should give early nursing to the influencing factors,reduce the incidence of AWS and improve patients'quality of life after surgery.

Objective:To observe the effects of acupuncture on intestinal flora and inflammatory factor interleukin(IL)-6 in ulcerative colitis(UC)model rats and to explore the related mechanism of acupuncture in treating UC.Methods:Thirty-two Sprague-Dawley rats were randomly divided into a normal control(NC)group,a model(MO)group,a mesalazine(ME)group,and an acupuncture(AC)group,with 8 rats in each group.Rats,except those in the NC group,were given a 2.5%sodium dextran sulfate solution to establish UC models.After successful modeling,rats in the ME group were treated with mesalazine by gavage twice a day for 7 continuous days;rats in the AC group received acupuncture at bilateral Tianshu(ST25)and Zusanli(ST36)with needles retained for 20 min each time,once a day for 7 consecutive days.After intervention,changes in the intestinal flora diversity,colon tissue damage degree,and inflammatory factor expression in each group of rats were evaluated.Results:The body mass increased slowly in the MO group compared to the NC group.After intervention,the body mass increased more significantly,colon injuries recovered,and intestinal flora diversity improved in the ME and AC groups compared to the MO group(P<0.05).The IL-6 expression level was higher in the MO group compared to the NC group(P<0.05).The IL-6 expression level decreased in the AC group compared to the MO group(P<0.05).Conclusion:Acupuncture at Tianshu(ST25)and Zusanli(ST36)improves body mass loss and colon injuries,regulates intestinal flora diversity,and reduces the expression of inflammatory factor IL-6 in the colon tissue of UC rats,therefore alleviating the disease severity of UC.

Objective:To explore the application and clinical significance of pathological diagnostic criteria for medically refractory epilepsy in children.Methods:Cross-sectional study.A retrospective analysis was conducted on 490 children(pathology involved) with medically refractory epilepsy treated continuously in the Pediatric Epilepsy Center of Peking University First Hospital from January 2019 to May 2022.The distribution of different pathological types was observed, and the differences in clinical characteristics among different pathological types were analyzed through Kruskal-Wallis or χ2 tests.The impact of clinical and pathological features on patient prognosis was evaluated through regression analysis. Results:Focal cortical dysplasia (FCD) was the predominant lesion (49.59%, 243/490).The electroencephalograms ( χ2=6.720, P=0.035) and clinical seizure characteristics ( χ2=26.370, P<0.001) in FCDⅡ were more focal than those in FCD Ⅰ and Ⅲ.Moreover, the proportions of focal resection in surgery ( χ2=24.286, P<0.001) and central involvement ( χ2=22.849, P<0.001) in FCDⅡ were higher than those in FCD Ⅰ and Ⅲ.Univariate and multivariate regression analyses revealed that FCD Ⅱ had a better prognosis than other dysplastic patients among the 375 cases of dysplasia ( P=0.049).Next-generation sequencing was performed on 35 cases of cortical malformations with such morphological characteristics as increased numbers of neurons in the white matter and Olig2-positive glial cell hyperplasia, and SLC35A2 mutations were detected in 2 cases (5.71%). Conclusions:Pathology of refractory epilepsy is specialized and continuously evolving.Standardized specimen processing and the accumulation of morphological, immunohistochemical, and molecular genetic data provide the foundation for clarifying the neuropathological nature of epilepsy, improving integrated classification, and advancing prognosis prediction and targeted therapy.