Background As the population ages, there has been a growing focus on the decline in fertility. Research has identified age and fertility history as the primary influencing factors. Nevertheless, there is a deficiency in fundamental data regarding the fertility status among different industries. Objective To investigate the fertility status and influencing factors among female workers aged 22-35 years in different industries. Methods From July 2020 to February 2021, a cross-sectional survey was conducted using a staged sampling approach. This survey specifically targeted 22-35-year-old married female workers with a history of pregnancy in industries such as education, healthcare, finance, and telecommunications, totaling 22903 participants. The survey encompassed industry, demographic characteristics, pregnancy history, time to pregnancy (TTP), and other influencing factors. The influencing factors of decline in fertility were identified by chi-square test and Cox proportional hazards regression. Subsequent industry-specific Cox proportional hazards regression models were used to compared fertility decline patterns across a spectrum of industries after selected influencing factors were adjusted. Results Among the 22903 respondents, 19194 valid questionnaires were collected, with a valid recovery rate of 83.8%. The cumulative pregnancy rates (CRP) of 1-6 months and 1-12 months for the 22-35-year-old female workers were 67.23% and 91.33% respectively. The multivariate analysis showed that region, age, education level, personal annual income, housework time, coping style, gravidity, parity, and spontaneous abortion were influencing factors of fertility decline (P<0.05). Female workers with ≥3 gravidities and ≥2 spontaneous abortions had a higher risk of fertility decline, with hazard ratios (HR) and associated 95% confidence interval (95%CI) of 0.633 (0.582, 0.688) and 0.785 (0.670, 0.921) respectively (P<0.01). Compared to the education industry, the healthcare and finance industries showed a higher risk of fertility decline, with HR (95%CI) values of 0.876 (0.834, 0.920) and 0.909 (0.866, 0.954), respectively (P<0.05). These two HR (95%CI) values remained statistically significant [0.899 (0.852, 0.948) and 0.882 (0.833, 0.934) respectively, P<0.05)] after further adjustment with nine influencing factors such as region and age. Conclusion Regions, age, education level, personal annual income, housework time, coping style, pregnancy and childbirth times, and natural abortion times are influencing factors of fertility decline in female workers. Compared to the education industry, the healthcare and finance industries have a higher risk of declining fertility.

BACKGROUND:Photothermal therapy is a novel tumor treatment strategy that uses photothermal agents to transform light energy into heat energy to accomplish non-invasive tumor ablation.The rise of photothermal therapy and nanotechnology has provided a new perspective on breast cancer treatment.OBJECTIVE:To prepare a new type of near-infrared biomimetic nanoprobe that has been modified by breast cancer cell membrane,to investigate the effect of near-infrared fluorescence/ultrasound imaging in vitro,and to observe its targeting ability and photothermal therapy effect on homologous tumor cells in vitro.METHODS:Organic small molecule ITIC-4CI with A-D-A structure was used as photothermal agents;polylactic acid/glycolic acid copolymer as nanocarrier;4T1 cell membrane of mouse breast cancer cells as a surface modifier of nanoparticles;perfluorohexane(PFH)was loaded.A novel near-infrared biomimetic nanoprobe(4T1m/ITIC-4CI/PFH)was prepared by the double emulsion evaporation method and sonication method.The basic characterization of the nanoprobe and the homologous targeting ability were detected.The photothermal properties and photothermal stability of the probe were investigated,and the near-infrared fluorescence/ultrasound imaging effect of the probe under laser irradiation was observed.The CCK-8 assay and calcein/propidium iodide staining were used to assess the efficacy of photothermal therapy.RESULTS AND CONCLUSION:(1)The prepared 4T1m/ITIC-4CI/PFH nanoprobes had uniform size,high stability,and an average particle size of(92.7±2.3)nm.The probe's protein composition was identical to that of the 4T1 cell membrane.The nanoprobe's ability to target homologous 4T1 cells was validated by an in vitro cell uptake assay.(2)The nanoprobe had a red-shift absorption spectrum and tail emission extending to the near-infrared-Ⅱ,which emitted a bright near-infrared-Ⅱ fluorescence signal under laser irradiation.(3)After laser irradiation,the nanoprobe 4T1m/ITIC-4CI/PFH could be turned into microbubbles and enhanced ultrasound imaging.The results of CCK-8 assay and calcein/propidium iodide staining showed that the nanoprobe 4T1m/ITIC-4CI/PFH had an obvious photothermal killing effect on 4T1 cells.(4)The results show that the nanoprobe 4T1m/ITIC-4CI/PFH has the ability to target homologous tumors and enhance near-infrared-Ⅱ fluorescence imaging/ultrasound imaging and photothermal therapy effects.

Objective To investigate the current status of nurses'knowledge,attitude and practice regarding sleep management of critically ill children in pediatric ICU,and to analyze its impact factors.Methods A self-designed questionnaire on general information and a questionnaire on knowledge and practical behaviors of pediatric ICU nurses on child's sleep management were used.In March 2023,902 pediatric ICU nurses from 24 hospitals in China were surveyed using a convenient sampling method,and the impact factors were analyzed using multiple stepwise linear regression.Results 893 valid questionnaires were collected and the recovery rate of valid questionnaires was 99.00％.Nurses in pediatric ICU scored(33.71±7.76)in knowledge dimension,(37.38±4.86)in attitude dimension and(80.60±16.78)in practice dimension,with a total score of(151.78±24.27).The scores of knowledge and attitude,knowledge and practice,attitude and practice are all positively correlated(r=0.393,P＜0.001;r=0.495,P＜0.001;r=0.320,P＜0.001).The results of multiple stepwise linear regression analysis showed that gender,region,whether they had received sleep management training were the influencing factors of pediatric ICU nurses'total score of knowledge,attitude and practice towards children's sleep management(P＜0.05).Conclusion Nurses in pediatric ICU are positive about sleep management for critically ill children,but their knowledge and practice levels need to improve.Nursing managers should strengthen the theoretical knowledge and practical behavioral training of pediatric ICU nurses on child sleep management,develop scientific sleep management plans,and guide nurses to make reasonable evaluation and interventions to improve children's sleep quality.

Objective:To test the hypothesis that Pertussis toxin (PTX) can promote the occurrence of interstitial lung disease (ILD) in experimental autoimmune myositis (EAM) model and clarify the potential pathogenic mechanism.Methods:EAM mice model were induced by Skeletal muscle thomogenate with or without PTX, and the relationship between ILD phenotypes and neutrophil extracellular traps (NETs) infiltration was analyzed by histopathological and serological studies in EAM with PTX group and EAM without PTX group. Healthy mice were given PTX alone intraperitoneally to clarify whether NETs formation could be induced in vivo, and neutrophils separated from healthy human blood were intervened with PTX to induce NETs formation in vitro. The data was tested for normality using Shapiro-Wilk. Statistical methods and were analyzed using t-test or ANOVA, and multiple comparisons between different groups were tested using Tukey test. Results:Compared with EAM without PTX group, lung tissues in EAM with PTX group had multiple pathological changes similar to polymyositis/dermatomyositis-related ILD. Nonspecific interstitial pneumonia and usual interstitial pneumonia were the main pathological types. The pulmonary interstitial lesions were accompanied by significant infiltration of NETs; and serum NETs markers levels were obviously elevated in EAM with PTX group, compared with the control group [ n=5, (87±10) ng/ml], cfDNA levels were statistically significantly elevated in both the EAM without PTX group [ n=4, (115±27) ng/ml] and the EAM with PTX group [ n=7, (150±50) ng/ml] ( F=4.24, P=0.038); Cit-H3-DNA levels were elevated in the EAM without PTX group ( n=4, 0.24±0.09), and in the EAM EAM with PTX group ( n=6, 0.33±0.11) compared with the control group ( n=4, 0.13±0.02) ( F=6.21, P=0.016). After PTX intervention, serum cfDNA levels were higher in the PTX group [ n=3, (100±40) ng/ml] than in the control group [ n=3, (45±12) ng/ml, t=2.27, P=0.086]; PTX also induced neutrophils to form NETs in vitro. Conclusion:PTX may promote the development of ILD in EAM mice model by inducing the formation of NETs, indicating that EAM mice can serve as a model for targeting NETs to study the pathogenesis ILD.

Objective:To analyze the risk factors associated with difficult weaning in mechanical ventilation for pediatric patients and investigate the predictive value of utilizing lung ultrasound assessment to optimize preparation for weaning and enhance success rates, thereby establishing a scientific foundation.Methods:A multi-center, prospective observational study, convenience sampling was utilized to select 97 pediatric patients who underwent endotracheal intubation at the Shanghai Children's Medical Center affiliated with Shanghai Jiao Tong University School of Medicine and Fujian Provincial Children's Hospital between September 2022 and May 2023. Lung ultrasound scores (LUS), Pediatric Critical Illness Score (PCIS), indicators related to respiratory oxygenation function and follow-up weaning outcomes were collected within 48-72 hours post-mechanical ventilation and prior to the first spontaneous breathing trial. The predictive efficacy of LUS in conjunction with risk factors associated with weaning difficulty on pediatric weaning outcomes was evaluated independently.Results:Among the 97 children studied, there were 57 boys and 40 girls, with ages ranging from 1 month to 14 years. By following up with weaning outcomes, the pediatric patients were divided into 55 cases of successful weaning group and 42 cases of difficult weaning group. During 48-72 hours of mechanical ventilation, LUS ( OR=2.05, 95% CI 1.43-2.94, P<0.05) and PCIS ( OR=0.68, 95% CI 0.50-0.92, P<0.05) were early risk factors for subsequent difficulties in weaning. And meantime, the combination of LUS(≥20 points) and PCIS(≤72 points) could effectively predict the risk of difficult weaning with a sensitivity of 61.90%, specificity of 96.36%, and an area under curve value of 0.84. Furthermore, before the first spontaneous breathing test, LUS ( OR=4.29, 95% CI 2.36-7.81, P<0.05) and rapid shallow breathing index (RSBI) ( OR=1.84, 95% CI 1.01-3.36, P<0.05) were identified as risk factors for pediatric difficult weaning, and their combination LUS (≥16 points) and RSBI (>6.4) could predict the risk of difficult weaning more accurately with a sensitivity of 76.19%, specificity of 90.91%, and an area under curve value of 0.92. Conclusions:The application of pediatric ICU specialist nurses, based on bedside LUS combined with PCIS and RSBI, can effectively assess and identify the risk of children with difficult weaning in the early stage, and identify the risk factors, providing a scientific basis for implementing individualized pulmonary rehabilitation nursing and helping children successfully weaning.

Objective:To evaluate the predictive value of preoperative frailty combined with nutritional status for prolonged postoperative ileus (PPOI) in the patients with gynecological malignancies.Methods:Patients undergoing elective surgery for gynecological malignancies in the Affiliated Hospital of Jiangnan University from April 2022 to February 2023 were selected. The Frail scale was used to evaluate the frailty within 24 h of admission, and the nutritional status was evaluated by the Controlling Nutritional Status score. The general characteristics of patients and occurrence of PPOI were recorded, and the risk factors for PPOI were analyzed by multivariate logistic regression. The ability of frailty, nutritional status and their combination to predict PPOI was assessed by the receiver operating characteristic curve.Results:Two hundred and fourteen patients were finally included, 52 cases developed of PPOI, and 98 cases were frail patients. Preoperative frailty combined with moderate to severe malnutrition was an independent risk factor for PPOI in the patients with gynecological malignancies ( P<0.05), and the area under the curve in predicting the occurrence of PPOI was 0.796 (95% confidence interval 0.736-0.857) in the patients with gynecological malignancies. Conclusions:Preoperative frailty combined with moderate to severe malnutrition has a higher accuracy in predicting PPOI in the patients with gynecological malignancies.

Objective:To analyze the correlation between cuproptosis genes and immune infiltration during the occurrence and development of multiple sclerosis(MS),and to predict the traditional Chinese medicine,to provide theoretical basis for the mecha-nism study of cuproptosis in MS immune infiltration and Chinese medicine to intervene in immune regulation.Methods:The gout chip of MS was downloaded from the GEO database and standardized;based on the processed data,immune cells and functions were ex-tracted and quantified,and the correlation and differences of immune cells and functions were analyzed;at the same time,cuproptosis genes related to MS were screened out,a risk model was constructed,and enrichment analysis was carried out;the prediction of cu-proptosis genes and immune-related biological processes were carried out.Results:① Among immune cells,T follicular helper cell and B cell showed the strongest positive correlation;among the immune functions,parainflammation and typeⅠIFN reponse showed the strongest positive correlation;②B cell,T helper cell and human leukocyte antigen were lowly expressed in MS patients,while major histocompatibility complex class Ⅰ,parainflammation and typeⅠIFN response were significantly expressed;③ The cupropto-sis genes associated with MS were SLC31A1,PDHA1,NLRP3,MTF1,GLS and DBT,of which DBT was the most likely risk factor for MS;④The occurrence and development of MS involves biological processes such as IL-4 production,T-helper cell differentiation,and acute inflammatory response,which were related to pathways such as arginine biosynthesis,citrate cycle,and propanoate metabo-lism;⑤Banxia,Danshen,Jianghuang and other traditional Chinese medicines may be used as potential molecular drug sources.Con-clusion:The expression of cuproptosis gene is closely related to MS-related immune cells and functions,which can provide support for the basic research of MS.

Premature ovarian insufficiency(POI),also known as"ovarian insufficiency",has an incidence of 1％～5％.The incidence has been on the rise in recent years,seriously affecting women's physical and mental health and quality of life.At present,the cause and mechanisms of POI are still unclear,and the method and applications of model construction are also confusing.Most models have some shortcomings in pertinence and stability.The limitations greatly limit research into the clinical diagnosis and treatment of POI.This paper summarizes and discusses the etiology and pathogenesis of POI and the construction of POI animal models to provide a comprehensive reference for those studying POI.

Objective:To develop an artificial intelligence (AI) quality control model of fetal heart in the first trimester and verify its effectiveness.Methods:A total of 18 694 images of the four-chamber view(4CV) and three-vessel and tracheal view(3VT) of fetal heart in the first trimester were selected from Shenzhen Maternal and Child Health Hospital Affiliated to Southern Medical University since January 2022 to December 2022. A total of 14 432 images were manually annotated. The one-stage target detection algorithm YOLO V5 was used to train the AI quality control model in the first trimester of fetal heart, and 4 262 images (golden standard set by expert group) were used to evaluate the application effectiveness of AI quality control model. Kappa consistency test was used to compare the results of section classification and standard degree judgment from AI quality control model, Doctor 1(D1) and Doctor 2(D2).Results:①Precision of the AI quality control model was 0.895, recall was 0.852, mean average precision (mAP 50) was 0.873.The average precision(AP) of the AI quality control model for section classification was 0.907 (4CV) and 0.989 (3VT), respectively. ②Compared with the gold standard, the overall coincidence rate and consistency of section classification of AI quality control model, D1 and D2 were 99.91% (Kappa=0.998), 100% (Kappa=1.000), 100% (Kappa=1.000), respectively. The coincidence rate and consistency of the plane standard degree evaluation from the AI quality control model, D1 and D2 were 97.46% (Weighted Kappa=0.932), 93.73% (Weighted Kappa=0.847), and 93.12% (Weighted Kappa=0.832), respectively. Strong consistency was displayed. Moreover, AI quality control model showed the highest coincidence rate and the strongest consistency in judging section standard degree, which was superior to manual quality control. The time-consuming of AI quality control (0.012 s/sheet) was significantly less than the way of manual quality control (4.76-6.11 s/sheet)( Z=-8.079, P<0.001). Conclusions:The use of artificial intelligent fetal heart quality control model in the first trimester can effectively and accurately control the image quality.

This article reviews the concept and content of eCASH concept as well as its application effect and influencing factors in sedation and analgesia nursing of patients with mechanical ventilation in ICU, so as to provide references for further implementation of the application of eCASH concept in patients with mechanical ventilation in ICU and improving patients' health outcome.