Background Prior epidemiological studies suggest that exposure to pyrethroid insecticides may adversely affect children’s respiratory health. However, only limited studies are currently available on this topic in China. Objective To explore the association between exposure to pyrethroid insecticides and pulmonary function in children in Shanghai. Methods From August 2019 to January 2020, a cross-sectional study was conducted, recruiting 163 healthy school-aged children (aged 5–12 years) from Shanghai Children’s Hospital, Shanghai Jiao Tong University School of Medicine. Basic information, including age, height, weight, and family income, was collected. Urine samples from the children were collected and were analyzed for the levels of three pyrethroid insecticide metabolites: 3-phenoxybenzoic acid (3-PBA), cis-3-(2,2-dichlorovinyl)-2,2-dimethylcyclopropane carboxylic acid (CDCCA), and trans-3-(2,2-dichlorovinyl)-2,2-dimethylcyclopropane carboxylic acid (TDCCA). Gas chromatography-tandem mass spectrometry (GC-MS/MS) was used for the analysis. Spirometry was used to assess pulmonary function and recorded following parameters: peak expiratory flow (PEF), forced expiratory flow between the 25th and 75th percentiles of forced vital capacity (FEF_25-75), forced expiratory volume in one second (FEV₁), forced vital capacity (FVC), and FEV₁/FVC. Multiple linear regression and restricted cubic spline models were used to evaluate the associations between urinary pyrethroid insecticide metabolite levels and pulmonary function parameters. Results The study included 163 school-aged children, with an average age of (7.04 ± 2.08) years and an average body mass index (BMI) of (16.04 ± 2.72) kg·m⁻²; 75 (46.01%) of the participants were boys. The detection rates of 3-PBA, TDCCA, and CDCCA in urine were 85.28%, 17.79%, and 4.91%, respectively. The median creatinine-adjusted 3-PBA concentration was 0.150 μg·g⁻¹. After adjusting for confounders such as height, BMI, sex, age, delivery mode, annual family income, and maternal education level, the multiple linear regression model showed that urinary 3-PBA levels were negatively associated with both FVC [β=−0.030, 95% confidence interval (CI): −0.058, −0.003; P=0.031] and FEV₁ (β=−0.032, 95%CI: −0.064, 0.000; P=0.04998). The final restricted cubic spline model showed a nonlinear association between urinary 3-PBA levels and FVC, FEV₁, PEF, and FEF_25-75（P for nonlinear < 0.05；P for overall < 0.05）. Conclusion The level of pyrethroid insecticide exposure in school-aged children in Shanghai is relatively high. The urinary 3-PBA concentration is negatively associated with pulmonary function, indicating potential adverse effects of pyrethroid insecticide exposure on respiratory health of school-aged children.

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.

Objective To compare cortical inhibition(CI)function between patients with schizophrenia and depression,and to explore the correlation between CI function and clinical symptoms.Methods A total of 35 first episode schizophrenia(FES)patients,41 depression patients(21 with first episode depression,20 with recurrent depression),and 35 healthy controls(HC)were recruited.The positive and negative syndrome scale(PANSS)was used to assess symptoms in FES patients,while the 17-item Hamilton depression scale(HAMD-17)and Hamilton anxiety scale(HAMA)were used to assess symptoms in depression patients.All participants'cortical inhibition and excitation measures were examined using single or paired pulses transcranial magnetic stimulation.Analysis of covariance/generalized linear model was employed to compare cortical inhibition and excitation measures among groups including age,gender,and medication status as covariates.The correlations between cortical inhibition and excitation measures and clinical symptoms were analyzed.Results The cortical silent period(CSP)in FES group was longer than that in control group and depression group[(92.08±35.43)ms vs.(70.27±22.12)ms vs.(70.81±29.29)ms,P<0.05].Depression group was further divided into first episode depression(FED)and recurrent depression(RD)subgroups.The short-interval cortical inhibition(SICI)was weaker in FED group than in the RD group and the control group(0.76±0.44 vs.0.43±0.32 vs.0.45±0.20,P<0.05).In FED group,CSP was negatively correlated with the general symptom score of PANSS(r=-0.544,P<0.001),and SICI was negatively correlated with the negative symptom score of PANSS(r=-0.501,P=0.005).In the FED group,SICI was positively correlated with HAMD-17 score(r=0.605,P=0.028).Conclusion Both FES patients and FED patients exhibit abnormal CI.There are distinct characteristics between FES and FED.FES patients exhibit prolonged CSP,while FED patients exhibit decreased SICI.The abnormal CI in FES and FED are correlated with their clinical symptoms.

Objective:To investigate the value of MRI in diagnosing the high expression of transcription factor E2F2 in breast cancer, in order to further evaluate the biological aggressiveness of breast cancer.Methods:The study was cross-sectional. The clinical and imaging data of 92 patients with breast cancer who were pathologically diagnosed in the Second Affiliated Hospital of Nantong University from October 2014 to December 2020 were retrospectively analyzed. All patients were female, aged 32 to 82 (56±11) years. All patients underwent MRI, including T 1WI, T 2WI, diffusion-weighted imaging (DWI), and dynamic enhanced MRI. According to the immunohistochemical results, the patients were divided into E2F2 high expression group and E2F2 low expression group. Independent sample t test, Mann-Whitney U test or χ2 test were used to compare the clinical data, MRI features and pathological features of the two groups. Characteristics with P≤0.1 from univariate analyses were included in multivariate logistic regression to screen for independent risk factors predicting high expression of the transcription factor E2F2 in breast cancer. Results:Among 92 patients, 68 were in the high E2F2 expression group and 24 were in the low E2F2 expression group. There were significant differences between the two groups in peritumoral edema, type composition ratio of time-signal intensity curve, estrogen receptor expression, human epidermal growth factor receptor 2 expression, endovascular cancer embolus and molecular type composition ratio (all P<0.05). Multivariate logistic regression analysis showed that peritumoral edema alone ( OR=7.061, 95% CI 1.837—27.144, P=0.004) was an independent risk factor for predicting the high expression of transcription factor E2F2 in breast cancer. Conclusion:MRI show that peritumoral edema is an independent risk factor for predicting high expression of the breast cancer transcription factor E2F2, which is associated with the aggressiveness of breast cancer.

Objective This study aims to investigate the application of symptom group management using a mo-bile health platform in managing heart failure patients during convalescence.Methods The research involved pa-tients with chronic heart failure who were treated at a tertiary A hospital in Qingdao from June 2022 to December 2022.The experimental group consisted of 235 patients who were discharged after treatment in ward A,while the control group consisted of 235 patients who were discharged during the same period in ward B.The experimental group received an mHealth-based symptom clusters management program following routine continuous nursing and the control group was given routine continuous nursing after discharge.6 months after the intervention,the heart function status,self-care level,and quality of life were compared between 2 groups.Results The experimental group ultimately included 232 cases,while the control group ultimately included 225 cases.Furthermore,the cardiac functional status,level of self-care,and quality of life of both the experimental group and the control group showed improvement compared to the pre-intervention period(P＜0.05).The experimental group exhibited significantly better cardiac function status compared to the control group,and the experimental group demonstrated higher levels of self-care confidence,and quality of life relative to the control group(P＜0.05).Conclusion The utilization of a mobile medical platform can enhance the management of heart failure patients'symptom groups,resulting in im-proved disease management efficiency.This platform provides patients with a comprehensive self-management plan,ultimately enhancing their self-management abilities and overall outcomes.

Objective:To explore the current status of lipid-lowering therapy, the distribution of low-density lipoprotein cholesterol (LDL-C) levels and the risk assessment of cardiovascular events recurrence in patients with coronary heart disease (CHD) complicated by hypertension.Methods:This was a cross-sectional study. Patients with CHD combined with hypertension were hospitalized in the Department of Cardiology, General Hospital of Chinese People′s Liberation Army from August 5, 2008 to July 22, 2018 were included, and were divided into standard group and substandard group according to whether LDL-C reached the standard. Study data were obtained from inpatient coronary angiography records and electronic medical records database of Department of Cardiology, General Hospital of Chinese People′s Liberation Army, who used data from the first diagnosis of CHD. Clinical data of the selected patients were collected. Multivariate logistic regression model was used to analyze the associated factors of whether LDL-C reached the standard in CHD patients with hypertension.Results:A total of 18 800 patients were selected from 31 provinces/autonomous regions/municipalities directly under the central government in China, with Beijing accounting for the largest proportion (5 692 patients (30.28%)), followed by Hebei (3 621 patients (19.26%)), Henan (1 837 patients (9.77%)), and Shandong (1 618 patients (8.61%)). Among the selected patients, 1 493 had LDL-C<1.4 mmol/L (standard group), and 17 307 had LDL-C≥1.4 mmol/L (substandard group). Only 1 493 patients (7.94%) had LDL-C<1.4 mmol/L. There were 4 518 patients (24.03%), 4 366 patients (23.22%), 6 924 patients (36.83%) and 1 499 patients (7.97%) with LDL-C for 1.4-<2.0, 2.0-<2.5, 2.5-<3.8 and≥3.8 mmol/L levels, respectively. 17 855 patients (95.15%) were treated with statins, but only 1 334 patients (7.10%) were treated with statins and ezetimibe. Of the selected patients, 4 986 patients (26.52%) were at low risk, 6 515 patients (34.65%) were at intermediate risk, and 7 299 patients (38.82%) were at high risk. The combined lipid-lowering treatment rates of statin and ezetimibe in the middle-and high-risk patients were 7.43% (484/6 515) and 7.48% (546/7 299), respectively. The results of multivariate logistic regression analysis showed that increasing age, male, diabetes mellitus, stroke, and history of percutaneous coronary intervention (PCI) were positively associated with LDL-C standards in patients with CHD and hypertension, whereas obesity and acute myocardial infarction (AMI) were negatively associated with LDL-C standards (all P<0.01). Conclusions:The rate of achieving the standard LDL-C in patients with CHD combined with hypertension was low in China. Although the majority of patients had received moderate-intensity statin therapy, the proportion of statin-treated patients combined with ezetimibe was extremely low. The proportion of high-risk patients with recurrent cardiovascular events was higher in patients with CHD and hypertension in China, whereas the proportion of such patients receiving statin combined with ezetimibe lipid-lowering therapy was lower. This study also found that increasing age, male, diabetes mellitus, stroke, and history of PCI were positively associated with LDL-C standards, while obesity and AMI were negatively associated with LDL-C standards in patients with CHD and hypertension.

Objective:To deeply understand the inner experiences of undergraduate nursing interns using Nursing Information Systems (NIS) and provide references for formulating relevant intervention strategies.Methods:A descriptive phenomenological approach was adopted for this qualitative study. Purposeful sampling was used to select undergraduate nursing interns from four comprehensive hospitals in Hangzhou during February to May 2023 for semi-structured interviews. The interview data were analyzed using Colaizzi's seven-step method to extract themes.Results:Four themes were identified in this study: insufficient preparedness of undergraduate nursing interns in using NIS, low engagement of undergraduate nursing interns in using NIS, perceived benefits of using NIS by undergraduate nursing interns, and adaptation strategies of undergraduate nursing interns using NIS.Conclusions:There are issues such as insufficient preparedness and low engagement among undergraduate nursing interns in using NIS. Some respondents experience emotions such as anxiety, fatigue, and decreased enthusiasm. It is recommended that colleges and internship hospitals pay attention to the clinical work demands and the learning needs of nursing interns, thus providing education and support for the use of NIS.

Objective To analyze the impact of artificial intelligence (AI) on colorectal adenoma detection rate (ADR) in fatigue state of endoscopists. Methods A total of 784 patients undergoing colonoscopy at the Endoscopy Center of Hengshui People's Hospital in Hebei Province were enrolled. Patients were divided into group A (n=405, time from 14: 00 to 15: 59) and group B (n=379, time from 16: 00 to 17: 30) based on the operation time. Patients in both groups who underwent AI-assisted examination were included in AI subgroup, while those without AI assistance were included in non-AI subgroup. Baseline data, including age, gender and bowel preparation quality [assessed by the Boston Bowel Preparation Scale (BBPS) score] were collected. The ADR and polyp detection rate (PDR) for colorectal lesions were calculated for both groups, and the ADR was compared between groups with and without AI assistance. Results The overall ADR was 32.10% in the group A, which was higher than 26.91% in the group B, but the difference was not statistically significant (P>0.05). Without AI assistance, the ADR in the group A was 25.85%, which was significantly higher than 17.30% in the group B (P < 0.05). In the group B with AI assistance, the ADR was significantly higher than that in the group A without AI assistance (P < 0.05). Without AI assistance, the PDR in the group A was 33.17%, which was significantly higher than 22.70% in the group B (P < 0.05). After using AI assistance, there was no significant difference in PDR between the two groups (P>0.05). In the group A, the ADR was 38.50% in the AI subgroup (n=200) and 25.80% in the non-AI subgroup (n=205), with a statistically significant difference (P=0.006). In the group B, the ADR was 36.08% in the AI subgroup (n=194) and 17.30% in the non-AI subgroup (n=185), with a statistically significant difference (P < 0.001). Conclusion AI-assisted colonoscopy can effectively improve the ADR of endoscopists under fatigue conditions.

Objective: To investigate the epidemiological characteristics of overseas imported dengue fever and malaria cases in Yunnan Province from 2015 to 2021, so as to provide insights into the prevention and control of overseas imported arthropod-borne infectious diseases. Methods: The data pertaining to imported dengue fever and malaria cases in Yunnan Province from 2015 to 2021 were collected from the Chinese Disease Prevention and Control Information System, and the temporal distribution, regional distribution, population distribution, sources, diagnosis and treatment of imported dengue fever and malaria cases were descriptively analyzed. Results: Totally 4 332 overseas imported dengue fever cases and 2 011 overseas imported malaria cases were reported in Yunnan Province form 2015 to 2021, which accounted for 30.09% of all reported dengue fever cases and 98.53% of all reported malaria cases. The number of overseas imported dengue fever and malaria cases peaked from August to November (83.13% of all imported dengue fever cases) and from April to July (59.08% of all imported malaria cases), and the cases were predominantly reported in Dehong Prefecture (50.99% and 58.88%), with farmers as the predominant occupation (40.21% and 67.93%). The dengue fever and malaria cases were mainly imported from Southeast Asia (99.04% and 88.21%), and the proportions of definitive diagnosis of dengue fever and malaria were 88.33% and 97.80% at township hospitals, respectively. Conclusions The number of overseas imported dengue fever and malaria cases peaked from August to November and from April to July in Yunnan Province from 2015 to 2021, and the cases were predominantly reported in Dehong Prefecture and imported from Southeast Asia, with farmers as the predominant occupation.

Heart failure is a serious and end-stage status of various heart diseases, characterized by comparatively high rate of readmission and mortality, and has become an important public health issue. The risk of readmission and mortality following discharge of an index hospitalization are key indicators to evaluate the quality of medical care among patients with acute heart failure. Therefore, it is important to carry out risk prediction research for patients with acute heart failure, quantify the disease risk, perform risk stratification, optimize clinical decision-making, elevate patients' quality of life and prognosis, and comprehensively improve the medical quality of acute heart failure. During the past 20 years, foreign researchers have developed dozens of models to predict the risk of acute heart failure readmission and mortality, and Chinese researchers have also developed up to 10 models applicable to the Chinese population. However, there is no recommended risk prediction model for acute heart failure in current clinical guidelines across China. In this report, we aim to introduce the major models for predicting the risk of acute heart failure readmission and mortality from home and abroad, focus on putting forward limitations of established models, and initiating potential directions for future studies from the following aspects: integrate multi-source data, mine emerging biomarkers, establish polygenic risk scores, optimize machine learning methods, promote flexible adjustment, and broaden approaches that applicable for various scenarios. Accordingly, this study will help facilitate domestic research in predicting the risk of readmission and mortality among patients hospitalized for acute heart failure.