Objective:To determine the weight coefficient of home care service quality indicators for the disabled elderly in Beijing.Methods:In the early stage, our research group has preliminarily constructed quality indicators of home care service for the disabled elderly in Beijing. The importance scores of all indicators were obtained through expert consultation from September to October 2021. Based on the game theory, the subjective and objective weighting methods were integrated to quantify the combinatorial optimization weight assignment of those indicators, in which the subjective weighting was calculated by proportional distribution method, and the objective weighting was obtained by entropy weight method.Results:The subjective weight assignments of the first-level indicators “service conditions”“service process” and “service outcome”were 0.332 2, 0.338 9, and 0.328 9, respectively; the objective weight assignments of the above indicators were 0.332 2, 0.338 9 and 0.328 9, respectively; the combinatorial optimization weight assignment of those indicators were 0.332 2, 0.338 9, and 0.328 9, respectively. Among the second-level indicators, the combination optimization weight coefficients of the top 3 important indicators “patient family evaluation”(1.3),“emergency configuration”(1.4), and“operation process”(2.2) were 0.198 4, 0.198 4 and 0.170 8, respectively. And among the third-level indicators, the combination optimization weight coefficients of the top 5 important indicators“emergency plan”(1.4.1), “humanistic care”(2.2.6), “first aid supplies”(1.4.2), “evaluation of potential resources”(1.3.4), and “means of home visit transportation”(1.2.1) were 0.124 7, 0.075 0, 0.073 8, 0.066 5 and 0.052 7, respectively.Conclusion:The study has successfully conducted the optimization weight assignment of home care service quality indicators for the disabled elderly in Beijing, which indicates that the service conditions and service process are crucial to the quality of service.

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OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Nitrofurantoin(NFT)is a nitrofuran antibiotic commonly used as a veterinary drug to treat bacterial infections in animals.However,due to the low solubility and bioaccumulation properties,NFT is prone to leave excessive residues in animal-derived foods and water systems,posing serious threats to human health and ecosystems.Therefore,there is an urgent need to develop an efficient and rapid detection method for NFT.In this work,nitrogen-doped carbon nanomaterials with unique bowl-like structures(N-CNBs)were synthesized via a hydrothermal-carbonization method.The morphology,surface structure,and specific surface area of N-CNBs were characterized using transmission electron microscopy(TEM),scanning electron microscopy(SEM),and X-ray photoelectron spectroscopy(XPS).The N-CNB modified glassy carbon electrode(N-CNB/GCE)was prepared,and the electrochemical test revealed that the N-CNB/GCE exhibited higher conductivity and larger electrochemical active surface area compared to bare GCE and nitrogen-doped hollow carbon nanosphere-modified electrode(N-HCNS/GCE).Additionally,the N-CNB/GCE demonstrated superior electrocatalytic activity toward NFT.An NFT electrochemical sensor was constructed based on N-CNB/GCE.The detection conditions of the sensor were optimized,and differential pulse voltammetry(DPV)was employed for NFT detection under optimal experimental conditions.The established NFT electrochemical sensor had a wide linear range of 0.4-500 μmol/L,a low detection limit(S/N=3)of 0.015 μmol/L and high selectivity,with excellent stability and reproducibility.The practical feasibility of this sensor was confirmed by analysis of NFT in milk and tap water samples,with spiked recoveries ranging from 94.2%to 108.9%.

Objective To investigate the risk factors for pneumonia complicating infectious mononucleosis(IM)in adults and construct a nomogram prediction model.Methods A retrospective analysis was conducted on 198 IM patients admitted to the Second Affiliated Hospital of Air Force Medical University from January 2015 to December 2021.Patients were divided into pneumonia group(n=52)and non-pneumonia group(n=146)based on whether pulmonary infection occurred during hospitalization.The baseline data(age,gender,place of onset,etc.),clinical manifestations(maximum body temperature,lymph node enlargement,splenomegaly,etc.),and inflammatory indicators[white blood cell count(WBC),C-reactive protein(CRP),etc.]were compared between the two groups.Kaplan-Meier curves were plotted to analyze the key indicators affecting the hospital stay of IM patients.Multivariate logistic regression was used to analyze the independent risk factors for pneumonia complicating IM in adults and construct a nomogram prediction model based on the identified risk factors.The predictive efficacy of the model was evaluated using the receiver operating characteristic(ROC)curve and the consistency of the model was assessed using the calibration curve.The fit of the model was evaluated using the Hosmer-Lemeshow test.Additionally,the sensitivity,specificity,and accuracy of the model were assessed using confusion matrix.Results Compared with non-pneumonia group,the pneumonia group had a significantly higher proportion of patients from rural areas,with body mass index(BMI)≥24 kg/m2,smoking history,hepatomegaly,fever duration of≥7 d,as well as increased total hospitalization costs and average daily hospitalization costs,and prolonged hospital stay(P<0.05).The proportion of patients with a history of antibiotic use was lower in the pneumonia group(P<0.05).Kaplan-Meier survival analysis showed that patients from rural areas,with BMI≥24 kg/m2,smoking history,no prophylactic use of antibiotics,fever duration≥7 d,and hepatomegaly had significantly prolonged hospital stays(P<0.05).Multivariate logistic regression analysis revealed that living in a rural area(OR=4.089,P<0.05),hepatomegaly(OR=4.082,P<0.05),and elevated WBC(OR=1.205,P<0.05)were independent risk factors for pneumonia complicating IM in adults,while the prophylactic use of antibiotics(OR=0.142,P<0.05)was an independent protective factor.The area under the ROC curve of the constructed nomogram prediction model was 0.827(95%CI 0.762-0.892),and the slope of the calibration curve was close to 1,and the Hosmer-Lemeshow test showed χ2=5.299,P=0.725,indicating good consistency and fit of the prediction model.The results of the confusion matrix assessment showed that the sensitivity of the model was 0.669(0.624-0.773),the specificity was 0.827(0.724-0.930),and the accuracy was 0.732(0.665-0.793).Conclusion The nomogram prediction model based on place of onset,hepatomegaly,the prophylactic use of antibiotics and WBC has excellent fit and discrimination,providing an effective quantitative tool for prognosis assessment of IM.

Objective This study aimed to provide an effective scientific basis for prevention and control of cockroaches on aircrafts by identifying cockroach-carried pathogens,and assess the insecticidal efficacy of gel bait mediated cockroach control on aircrafts,to provide technical guidance for aircraft disinsection.Methods Cassette-trapping was used to trap cockroaches,and the carried pathogens were detected using bacterial cultivation techniques.The gel bait mediated killing rate was calculated after 1,7,and 30 d by field application of gel bait.Results A total of 411 cockroaches were captured,and all were identified as Blattella germanica.26 strains of pathogenic bacteria were isolated from the trapped cockroaches.The killing rates of cockroaches were 58.8％-96.3％with 1-30 day application of gel bait.Statistically significant differences were observed in cockroach killing rates on different days(χ2=58.95,P<0.01).Conclusions B.germanica carry a large variety of pathogenic bacteria and opportunistic pathogens and are thus important infectious disease carriers.Gel bait agents have proven to be very effective against cockroaches on aircrafts.

Objective To explore the association between dynamic indexes of maternal progesterone in early pregnancy and the average level and growth rate of fetal head circumference(HC)in mid-and late pregnancy.Methods This study adopted a retrospective cohort design and included 255 singleton pregnant women in the maternal and infant cohort of The First Affiliated Hospital of Xi'an Jiaotong University from January 2015 to December 2024.The progesterone levels of their early venous blood were detected and divided into two groups of progesterone trajectories,namely,fluctuating type and increasing type,by morphology.The dynamic indicators of progesterone in early pregnancy were constructed:cumulative dynamic deviation index in the first trimester(CDDI-P1T),gestational age at progesterone peak(GA-PP),and maximal relative progesterone decline in the first trimester(MRD-P1T).The average head circumference level and linear growth rate of the fetuses in the middle and late pregnancy were calculated.Generalized linear regression(GLM)was used to analyze the linear association between progesterone dynamic indicators and head circumference development.The key gestational weeks of progesterone affecting fetal head development were explored by linear regression of gestational weeks.Ordinary least squares(OLS)regression and restricted cubic spline(RCS)plots were used to draw the nonlinear association between progesterone dynamic indicators and head circumference.Results Among the 255 pregnant women included,92.5％of the progesterone trajectories in early pregnancy were fluctuating,and 7.5％were increasing.The growth rates of the increasing progesterone trajectory group were higher in the second and third trimesters than in the fluctuating group,but the differences were not statistically significant(all P＞0.05).GLM analysis showed that for every 1 unit increase in CDDI-P1T,the head circumference in the middle and late pregnancy increased significantly by 1.574 cm and 1.193 cm(Z=3.714,2.885,P＜0.01).The delay of GA-PP was negatively correlated with the head circumference in the middle pregnancy(β=-0.190 cm,95％CI:-0.339--0.041,P=0.010)but positively correlated with the head circumference growth rate in the late pregnancy(β=0.022 cm/week,95％CI:0.003-0.041,P=0.025).A 10％decrease in the decline of CDDI-P1T increased the head circumference in the middle pregnancy by 0.200 cm(95％CI:0.016-0.384,P=0.033),and a 100％decrease in the decline increased the head circumference growth rate in the late pregnancy by 0.201 cm/week(95％CI:0.002-0.399,P=0.048).The analysis of the key time window showed that for every 20 nmol/L increase in progesterone during 9.5-13 weeks of pregnancy,the mid-term head circumference increased by 0.035-0.166 cm(Z=2.452-3.517,allP＜0.05),and the late-term head circumference increased by 0.767 cm during 9-13 weeks of pregnancy(Z=2.452-3.517,all P＜0.05).When progesterone increased during 9.5-10.5 weeks of pregnancy,the growth rate of mid-term head circumference increased by 0.013-0.023 cm/week(Z=2.074-2.243,all P＜0.01).When progesterone increased during 8.5-10.5 weeks of pregnancy,the growth rate of late-term head circumference increased by 0.010-0.026 cm/week(Z=2.061-3.137,all P＜0.05).Conclusion Progesterone dynamic index is a new sensitive tool for evaluating fetal head circumference development.There is a stage-specific window period for progesterone regulation.9.5-13 weeks of pregnancy is the critical period for progesterone to affect head circumference growth,and 9.5-10.5 weeks of pregnancy is the core window for regulating the growth rate of head circumference.Therefore,it is necessary to combine progesterone dynamic index and time window for individualized intervention to promote the transformation of prenatal care from pregnancy maintenance to eugenics intervention.

Objective:To explore the incidence of Crohn's disease-like pouch (CDP) after ileal pouch-anal anastomosis (IPAA) and analyze the clinical characteristics and risk factors in ulcerative colitis (UC) patients.Methods:A retrospective cohort study was conducted. One hundred and eighty-two UC patients undergoing IPAA at Jinling Hospital affiliated to Nanjing University from November 2003 to November 2024 were enrolled. Patients were categorized into CDP and non-CDP groups. Clinical features and prognosis were compared, and multivariate Cox regression was performed to identify risk factors for CDP.Results:A total of 182 UC patients were included, with a median follow-up time of 45.00 (30.00, 75.25) months. The patients were divided into two groups based on the diagnosis of CDP, with 23 patients (12.64%) in the CDP group and 159 patients (87.30%) in the non-CDP group. Compared to the non-CDP group, patients in the CDP group had a lower body mass index (BMI) ( Z=-2.87, P=0.004), and were more likely to develop early postoperative pouchitis (χ 2=4.50, P=0.034). The median time from ileostomy closure to the development of CDP was 12 .00 (6.00, 28.00) months. Cox regression analysis showed that a preoperative BMI<18.5 kg/m 2 ( HR=2.84, 95% CI: 1.24~6.49, P=0.013) and early postoperative pouchitis ( HR=3.11, 95% CI: 1.22~7.93, P=0.018) were associated with an increased risk of CDP. Conclusions:Preoperative low BMI and pouchitis occurring within 3 months postoperatively are significant risk factors for CDP. Close monitoring and early intervention are recommended for high-risk patients.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

This paper uses literature and network data to systematically sort out the theoretical and practical foundations of global public health cooperation,combines expert interviews to conduct empirical analyses,and further explores China's strategies for participating in global public health cooperation through quantitative statistics and text mining of interview data,and proposes a plan for China's participation in global public health cooperation under the current international situation.Under the countercurrents to globalization,China should take its own public health capacity building as the foundation,put global security and health equity at the core,with a philosophy of open cooperation and sustainable development,actively promote bilateral and multilateral cooperation,focus on cultivating global health talents,and enhance the effectiveness of disease prevention and control by making use of existing platforms,international mechanisms and digital health technologies,so as to help build a Global Community of Health for All.