Objective:To analyze the time to reach full enteral feedings (TFEF) among preterm infants with gestational age (GA)<32 weeks admitted to the neonatal intensive care unit (NICU) of Chinese Neonatal Network (CHNN).Methods:This was a retrospective analysis based on the database from the CHNN 89 participating centers between January 1 st, 2019 and December 31 st, 2022. All 16 155 preterm infants with a GA <32 weeks and a birth weight <1 500 g, admitted to the NICU within 24 h after birth, hospitalization for at least 7 d and achieved full enteral feedings before discharge were included. According to the birth weight, these infants were divided into extremely low birth weight (ELBW) group and very low birth weight (VLBW) group. The practice characteristics of TFEF across different GA, the severity of neonatal admission, the NICU interventions before reaching full enteral feeding, and relevant neonatal diseases were described. Mann-Whitney U tests or Kruskal-Wallis H tests was used for comparison between groups. Results:Among the 16 155 preterm infants with a GA <32 weeks, 8 505 case (52.6%) were male. The TFEF in 3 374 cases of ELBW groups was 32 (22, 46) d, 351 cases (10.4%) with TFEF ≤2 weeks, 1 050 cases (31.1%) with TFEF >2-4 weeks, 964 cases (28.6%) with TFEF >4-6 weeks, and 1 009 cases (29.9%) with TFEF >6 weeks. The TFEF in 12 781 cases of VLBW group was 22 (15, 32) d, 439 cases (3.4%) with TFEF ≤1 week, 2 565 cases (20.1%) with TFEF >1-2 weeks, 5 526 cases (43.2%) with TFEF >2-4 weeks, and 4 251 cases (33.3%) with TFEF >4 weeks. The TFEF was 36(23, 52) d of 625 preterm infants at a GA ≤25 weeks and 20 (13, 28) d of 2 606 preterm infants at a GA 31 weeks. Inborn infants had a shorter TFEF than those outborn infants and the infants with breast-fed achieved shorter than formula and mixed feeding both in ELBW and VLBW groups (all P<0.001). The earlier enteral feeding started, the shorter TFEF will be both in ELBW and VLBW groups (both P<0.001). The TFEF of preterm infants who were treated before full enteral feeding like peripherally inserted central catheters, and blood transfusions and blood product providers were all longer than those who were not treated (all P<0.001). The TFEF of preterm infants with complications like hemodynamically significant patent ductus arteriosus, necrotizing enterocolitis, late onset sepsis, severe retinopathy of prematurity and bronchopulmonary dysplasia were all longer than those without (all P<0.001). Conclusions:The distribution of TFEF in VLBW and ELBW has a large difference. The TFEF of preterm infants varies with different GA, treatment measures and complications. Further quality improvement is required to shorten TFEF.

Objective To analyze the results of health examination of soldiers stationed on an island,and to explore the health condition of the soldiers and main influencing factors,so as to provide scientific basis for further prevention and intervention.Methods The health examination reports of 507 soldiers stationed on an island were collected and analyzed.These soldiers were stratified according to age and body mass index.Priority diseases and abnormal results were analyzed.Results More than 40 kinds of abnormal results were detected,and the top 5 were sinus bradycardia,fatty liver,high uric acid,high blood pressure,and ametropia.There were significant differences in the detection rates of fatty liver,high cholesterol and kidney stone among all age groups(P<0.05).There were significant differences in the detection rates of fatty liver,high uric acid,high blood pressure and gallbladder polyps among soldiers with different BMI(P<0.05).Conclusion Metabolic diseases have become the main health problems in soldiers stationed on islands.Health care should be intensified,and health management targeting risk factors should be implemented to effectively reduce the prevalence rate and enhance combat capabilities.

Objective To construct a predictive model for high-grade pathological components of early invasive lung adenocarcinoma(ILAC)based on radiomics.Methods Collecting information on total 495 patients who underwent radical operation and were pathologically diagnosed as stage Ⅰ in the cardiothoracic surgery of Zhoushan Hospital from January 2015 to December 2019,including gender,age,pathological findings,tumor markers and preoperative chest CT images.The micropapillary and solid components in postoperative pathology were defined as"high-grade pathological components",while those without high-grade pathological components were classified into the low-grade group and those with high-grade pathological components were classified into the high-grade group.And patients were randomly divided into the training set(343 cases)and the validation set(152 cases)with a ratio of 7∶3 using the simple randomization grouping method.The region of interest of nodules on CT images were delineated layer by layer by scientific research platform and 1950 radiomics features were extracted.And then those features were filtrated by F-test,Pearson correlation coefficient,and L1 based feature selection.A model was built by using Logistic regression machine learning classifier,named mod 2,and radscore was also obtained.Differences between general information and CT features were analyzed.Binary Logistic regression analysis was used to construct a model for statistically significant variables,named mod 1.At the same time,Radscore was added to build the mod and named comb mod.The area under the curve(AUC),sensitivity and specificity of the three models were calculated.A nomogram was also drawn.Results A total of 495 patients were divided into the training set(n=343)and the validation set(n=152).Gender,carcinoma embryonic antigen(CEA),nodule,and maximum diameter were screened out in clinical features and involved in constructing the mod 1.Twelve features were selected from the radiomics features to build mod 2.Comb mod performed best,training set AUC:0.887,validation set AUC:0.875,and had good clinical practicability.Conclusion The model composed of general feature,CT feature and radiomics features could accurately predict high-grade pathological components in early ILAC,and provide references for clinicians to choose surgical method for patients.

Inflammatory bowel disease(IBD)is a non-specific chronic inflammatory bowel condition.Crohn's disease(CD)and ulcerative colitis(UC)are the 2 main types of IBD.IBD is prone to recurrent attacks,which is associated with many factors,such as immune dysfunction,intestinal microenvironment homeostasis imbalance,and environmental and genetic factors;however,its specific pathogenesis is still unclear.Zebrafish has recently emerged as an emerging animal model and have been used extensively for mechanistic research into IBD,model construction,activity evaluation,and screening of anti-IBD agents,due to their unique biological advantages.Based on the latest research progress using zebrafish in the field of IBD,this review systematically introduces the intestinal development characteristics,tissue structure,intestinal immunity,IBD model,and the application of drug screening in zebrafish,to demonstrate the value of zebrafish in the study of IBD.

Objective To establish a chromatography-tandem mass spectrometry method for detecting chlorfenapyr and its metabolite tralopyril in blood,and to investigate the toxicokinetics in rats.Methods Chlorfenapyr(8 mg/kg)was administered orally to rats,and blood samples were collected from rats'canthus vein at 5 min,15 min,30 min,1 h,3 h,6 h,12 h,24 h and 48 h after administration.The blood samples were extracted using 100 μL of 5%formic acid solution and 400 μL of acetonitrile.Chlorfena-pyr was qualitatively and quantitatively detected by triple quadrupole gas chromatography-tandem mass spectrometry(GC-MS/MS)and tralopyril was detected by triple quadrupole liquid chromatography-tandem mass spectrometry(LC-MS/MS).The DAS 3.0 software was used to fit the toxicokinetic equa-tions and calculate the toxicokinetic parameters.Results Chlorfenapyr was detectable from 5 min to 24 h with a peak time of 1 h.Tralopyril was detectable from 15 min to 48 h with a peak time of 3 h.The toxicokinetic process of chlorfenapyr in rat blood conformed to a first-order absorption one-compartment open model,with the toxicokinetic equation described as C=e-0.265t-e-0.175t.Tralopyril con-formed to the first-order absorption three-compartment model,and the toxicokinetic equation was C=47 361.069e-2.209t-35 404.962e-1.486t+11 956.363e-0.512t.In the equations,C stands for the concentration of the target substance in the blood,e is the natural constant(≈2.718 28),and t stands for time.Conclu-sion This study optimized the detection method for chlorfenapyr and its metabolite tralopyril in blood.The toxicokinetic equations and parameters of chlorfenapyr and tralopyril can provide a reference for the estimation of oral intake time of chlorfenapyr.

The PA-PB1 interface of the influenza polymerase is an attractive site for antiviral drug design. In this study, we designed and synthesized a mini-library of indazole-containing compounds based on rational structure-based design to target the PB1-binding interface on PA. Biological evaluation of these compounds through a viral yield reduction assay revealed that compounds 27 and 31 both had a low micromolar range of the half maximal effective concentration (EC₅₀) values against A/WSN/33 (H1N1) (8.03 μmol/L for 27; 14.6 μmol/L for 31), while the most potent candidate 24 had an EC₅₀ value of 690 nM. Compound 24 was effective against different influenza strains including a pandemic H1N1 strain and an influenza B strain. Mechanistic studies confirmed that compound 24 bound PA with a K _d which equals to 1.88 μmol/L and disrupted the binding of PB1 to PA. The compound also decreased the lung viral titre in mice. In summary, we have identified a potent anti-influenza candidate with potency comparable to existing drugs and is effective against different viral strains. The therapeutic options for influenza infection have been limited by the occurrence of antiviral resistance, owing to the high mutation rate of viral proteins targeted by available drugs. To alleviate the public health burden of this issue, novel anti-influenza drugs are desired. In this study, we present our discovery of a novel class of indazole-containing compounds which exhibited favourable potency against both influenza A and B viruses. The EC₅₀ of the most potent compounds were within low micromolar to nanomolar concentrations. Furthermore, we show that the mouse lung viral titre decreased due to treatment with compound 24. Thus our findings identify promising candidates for further development of anti-influenza drugs suitable for clinical use.

AIM To evaluate the quality consistency of Tongmai Granules,Tongmai Tablets,Tongmai Capsules and Tongmai Oral Liquid.METHODS The HPLC fingerprints were established,after which the contents of danshensu,protocatechuic aldehyde,3'-hydroxy puerarin,puerarin,puerarin apioside,daidzin,ferulic acid,salvianolic acid B and salvianolic acid A were determined,and cluster analysis and principal component analysis were adopted in the quality analysis from the perspective of daily intake.RESULTS There were 21 common peaks in the fingerprints for 39 batches of samples with the similarities of 0.765-0.997.Various batches of samples were clustered into 5 categories,2 principal components demonstrated the accumulative variance contribution rate of 83.53％ .The daily intakes of various constituents in different dosage forms exhibited obvious differences,especially for that of salvianolic acid B,which were low in tablets and capsules,and their heterogeneities existed among the same dosage forms.CONCLUSION This simple and accurate method can provide a reference for the quality evaluation of Tongmai preparations from different manufacturers.

Objective To explore the relationship among sleep quality, fatigue and work-related musculoskeletal disorders (WMSDs) in firefighters, and to examine the mediating effect of fatigue between sleep quality and the risk of WMSDs. Methods A total of 271 firefighters from three prefecture-level cities in Jiangsu Province were selected as the study subjects by a convenient sampling method. The Chinese Musculoskeletal Disorders Questionnaire, Pittsburgh Sleep Quality Index (PSQI), and Fatigue Scale-14 were used to assess WMSDs, sleep quality and fatigue status among the study subjects. The effect of sleep quality and fatigue on WMSDs was analyzed, as well as the mediating role of fatigue between sleep quality and the risk of WMSDs. Results The annual prevalence of WMSDs among the firefighters was 68.6%. The firefighters who had poor and very poor sleep quality accounted for 36.2% and 7.7%, respectively. There were 88.6% of firefighters reported fatigue. The total scores of PSQI and fatigue of firefighters in WMSDs group were higher than those in non-WMSDs group (all P<0.01). Binary logistic regression analysis showed that the higher the total score of PSQI, the worse the sleep quality, and the higher the risk of WMSDs in firefighters (all P<0.01). The higher the total score of fatigue, the higher the risk of WMSDs (P<0.01), and the risk of WMSDs in the fatigue group was higher than that in the non-fatigue group among the firefighters (P<0.01). The direct effect of sleep quality on WMSDs in firefighters was 0.028 [95% confidence interval (CI): 0.012-0.050, P<0.01], and its indirect effect on WMSDs mediated by fatigue was 0.027 (95%CI: 0.018-0.040, P<0.01). Fatigue played a mediating role in sleep quality and WMSDs, with the mediating ratio of 0.491 (95%CI: 0.304-0.740, P<0.01). Conclusion Poor sleep quality and fatigue are related to an increased risk of WMSDs in firefighters in a dose-response manner. Fatigue plays a mediating role between sleep quality and the risk of WMSDs.

Inflammatory bowel disease(IBD)is a non-specific chronic inflammatory bowel condition.Crohn's disease(CD)and ulcerative colitis(UC)are the 2 main types of IBD.IBD is prone to recurrent attacks,which is associated with many factors,such as immune dysfunction,intestinal microenvironment homeostasis imbalance,and environmental and genetic factors;however,its specific pathogenesis is still unclear.Zebrafish has recently emerged as an emerging animal model and have been used extensively for mechanistic research into IBD,model construction,activity evaluation,and screening of anti-IBD agents,due to their unique biological advantages.Based on the latest research progress using zebrafish in the field of IBD,this review systematically introduces the intestinal development characteristics,tissue structure,intestinal immunity,IBD model,and the application of drug screening in zebrafish,to demonstrate the value of zebrafish in the study of IBD.

Objective To design an intelligent monitoring platform for adverse drug reactions(ADRs)to solve the problems of the traditional ADR monitoring mode.Methods The ADR intelligent monitoring platform was designed based on artificial intelligence and big data technologies,which was developed with Browser/Server(B/S)architecture,C#programming language and.NET development tool.There were five functional modules involved in the platform for ADR knowledge base,monitoring rule setting,intelligent monitoring,report management and statistical analysis.Results The platform realized the full-process management of ADR intelligent monitoring,reporting,review and statistical analysis,which enhanced the ADR report in quantity,quality and timeliness.Conclusion The platform contributes to improving the monitoring of ADR and patient medication safety.[Chinese Medical Equipment Journal,2025,46(9):33-38]