Objective:To investigate the association between small vulnerable newborn (SVN) phenotypes and the risk of neurodevelopmental delay at the age of 1 year.Methods:A prospective cohort study was conducted. A total of 25 860 singleton infants from "The Born in Guangzhou Cohort Study" who completed the Gesell developmental scale assessment at 1 year of age between January 2013 and June 2025 were included. Maternal sociodemographic characteristics, and other information were collected using a self-administered questionnaire, and maternal pregnancy-related information and neonatal birth data were extracted from medical records. Global developmental delay (GDD) was defined as a developmental quotient below 86 in ≥3 domains of the Gesell developmental scale, which assesses the adaptive, gross motor, fine motor, language, and personal-social domains. The random forest algorithm was employed for missing data imputation. Based on prematurity, small for gestational age (SGA), and low birth weight (LBW), newborns were categorized into 6 phenotypes: preterm-SGA-LBW, preterm-appropriate for gestational age (AGA)-LBW, preterm-AGA-nonLBW, term-SGA-LBW, term-LBW-only or term-SGA-only, and term-AGA-nonLBW phenotype. Among these, the first 5 were classified as SVN phenotypes, and the last one served as the reference group. Inter-group comparisons were performed using analysis of variance (ANOVA), χ2 tests, or Kruskal-Wallis test, as appropriate.?? Multivariable robust Poisson regression models were applied to analyze the association of different SVN phenotypes with the risks of GDD and developmental delays in specific domains, with stratified analyses by sex. Results:Among the 25 860 infants, 13 719 (53.1%) were male and 12 141 (46.9%) were female. The gestational age at birth was 39.4 (38.6, 40.0) weeks. The overall detection rate of GDD at 1 year of age was 3.7% (962/25 860). The rates of delay across developmental domains, in descending order, language in 8 134 cases (31.5%), gross motor in 4 488 cases (17.4%), personal-social in 1 271 cases (4.9%), adaptive in 1 262 cases (4.9%), and fine motor in 621 cases (2.4%). Compared with the reference group, preterm-AGA-LBW, preterm-SGA-LBW, preterm-AGA-noneLBW, and term-SGA-LBW phenotypes were all associated with an increased risk of GDD, with the adjusted RR (95% CI) of 6.07(5.01-7.35), 4.81(3.11-7.46), 2.10(1.54-2.88) and 1.89(1.29-2.76) respectively.The preterm-AGA-noneLBW phenotype was all associated with an increased risk of delay in gross motor, language and personal-social functional domains (all P<0.05). The term-SGA-LBW phenotype was associated with an increased risk of delay in gross motor, fine motor and personal-social functional domains (all P<0.01). Whereas the term-LBW-only or term-SGA-only phenotype showed no statistically association with developmental delay in any functional domain (all P≥0.05). Conclusion:The combined classification based on gestational age and birth weight helps identify infants at high risk for neurodevelopmental delay at 1 year of age, suggesting that it may offer a reference for the rational allocation of clinical resources.

Objective:To investigate the association between small vulnerable newborn (SVN) phenotypes and the risk of neurodevelopmental delay at the age of 1 year.Methods:A prospective cohort study was conducted. A total of 25 860 singleton infants from "The Born in Guangzhou Cohort Study" who completed the Gesell developmental scale assessment at 1 year of age between January 2013 and June 2025 were included. Maternal sociodemographic characteristics, and other information were collected using a self-administered questionnaire, and maternal pregnancy-related information and neonatal birth data were extracted from medical records. Global developmental delay (GDD) was defined as a developmental quotient below 86 in ≥3 domains of the Gesell developmental scale, which assesses the adaptive, gross motor, fine motor, language, and personal-social domains. The random forest algorithm was employed for missing data imputation. Based on prematurity, small for gestational age (SGA), and low birth weight (LBW), newborns were categorized into 6 phenotypes: preterm-SGA-LBW, preterm-appropriate for gestational age (AGA)-LBW, preterm-AGA-nonLBW, term-SGA-LBW, term-LBW-only or term-SGA-only, and term-AGA-nonLBW phenotype. Among these, the first 5 were classified as SVN phenotypes, and the last one served as the reference group. Inter-group comparisons were performed using analysis of variance (ANOVA), χ2 tests, or Kruskal-Wallis test, as appropriate.?? Multivariable robust Poisson regression models were applied to analyze the association of different SVN phenotypes with the risks of GDD and developmental delays in specific domains, with stratified analyses by sex. Results:Among the 25 860 infants, 13 719 (53.1%) were male and 12 141 (46.9%) were female. The gestational age at birth was 39.4 (38.6, 40.0) weeks. The overall detection rate of GDD at 1 year of age was 3.7% (962/25 860). The rates of delay across developmental domains, in descending order, language in 8 134 cases (31.5%), gross motor in 4 488 cases (17.4%), personal-social in 1 271 cases (4.9%), adaptive in 1 262 cases (4.9%), and fine motor in 621 cases (2.4%). Compared with the reference group, preterm-AGA-LBW, preterm-SGA-LBW, preterm-AGA-noneLBW, and term-SGA-LBW phenotypes were all associated with an increased risk of GDD, with the adjusted RR (95% CI) of 6.07(5.01-7.35), 4.81(3.11-7.46), 2.10(1.54-2.88) and 1.89(1.29-2.76) respectively.The preterm-AGA-noneLBW phenotype was all associated with an increased risk of delay in gross motor, language and personal-social functional domains (all P<0.05). The term-SGA-LBW phenotype was associated with an increased risk of delay in gross motor, fine motor and personal-social functional domains (all P<0.01). Whereas the term-LBW-only or term-SGA-only phenotype showed no statistically association with developmental delay in any functional domain (all P≥0.05). Conclusion:The combined classification based on gestational age and birth weight helps identify infants at high risk for neurodevelopmental delay at 1 year of age, suggesting that it may offer a reference for the rational allocation of clinical resources.

ObjectiveTo analyze trends in the incidence and mortality of pancreatic cancer among the registered residents in Jinhua City of Zhejiang Province from 2016 to 2024, and to predict incidence and mortality rates from 2025 to 2027, thereby providing a reference for refining prevention and control strategies. MethodsData on pancreatic cancer incidence and mortality among the registered residents in Jinhua City from 2016 to 2024 were collected. The Joinpoint regression model was used to calculate the average annual percentage change (AAPC) to analyze the temporal trends of pancreatic cancer incidence and mortality. Furthermore, a GM (1,1) model was constructed using Excel 2019 to predict incidence rates and mortality rates for the years 2025 to 2027. ResultsFrom 2016 to 2024, the crude incidence and crude mortality rates of pancreatic cancer among the registered residents in Jinhua City were 8.41/100 000 and 8.19/100 000, respectively, both showing upward trends (AAPC=3.55%, 95%CI: 1.69%-5.63%; AAPC=3.35%, 95%CI: 1.08%-5.93%), while the standardized incidence and mortality rates were 5.21/100 000 and 4.93/100 000, respectively, with no statistically significant trends (AAPC=1.12% and 0.52%, both P>0.05). The incidence and mortality rates of pancreatic cancer were higher in men than in women. Both crude incidence and crude mortality rates rose steadily with increased age (both P<0.01). According to the GM (1,1) model, the crude mortality rate of pancreatic cancer among the registered residents in Jinhua City is projected to continue its upward trend from 2025 to 2027 (9.37/100 000, 9.60/100 000, and 9.83/100 000, respectively). ConclusionFrom 2016 to 2024, both the crude incidence and crude mortality rates of pancreatic cancer among registered residents in Jinhua City showed continuous upward trends, and the crude mortality rate is likely to continue rising from 2025 to 2027. Efforts to prevent and control pancreatic cancer should be strengthened, particularly among men and the very elderly.

AIM: To investigate the value of optical coherence tomography angiography(OCTA)parameters and serum caspase-1 for assessing the severity of diabetic retinopathy(DR).METHODS:Patients diagnosed with DR in our hospital from June 2024 to December 2025 were retrospectively enrolled and were divided into early non-proliferative DR(NPDR)and advanced proliferative DR(PDR)groups according to fundus fluorescein angiography(FFA)findings. Patients with diabetes mellitus but without DR were selected as the control group. OCTA parameters included macular vascular density, the perimeter and area of the foveal avascular zone(FAZ), mean retinal thickness, hyperreflective foci(HRF), and internal limiting membrane abnormalities. Blood biochemical indicators contained fasting blood glucose, glycated hemoglobin(HbA1c), systemic immune-inflammation index(SII), triglyceride/high-density lipoprotein(TG/HDL)ratio, urinary albumin/creatinine ratio(UACR), and caspase-1.RESULTS: Totally 128 DR patients(151 eyes)were enrolled in this study, including 75 patients(90 eyes)in the NPDR group(40 males and 35 females, mean age: 74.3±5.6 y)and 53 patients(61 eyes)in the PDR group(27 males and 26 females, mean age: 75.9±5.8 y). Meanwhile, 60 diabetic patients(120 eyes)without DR were recruited as the control group(33 males and 27 females, mean age: 72.6±5.4 y).The macular vascular density gradually decreased in the control, NPDR and PDR groups, while perimeter and area of FAZ, and mean retinal thickness gradually increased, and the incidence of HRF and internal limiting membrane abnormalities gradually increased(all PSymbol|@@0.001). The levels of SII, UACR and caspase-1 gradually increased(all PSymbol|@@0.001). The duration of diabetes mellitus was longer in the NPDR and PDR groups than in the control group(all PSymbol|@@0.001).Multivariate logistic regression analysis demonstrated that diabetic duration, HRF, and caspase-1 were risk factors for the occurrence of DR, while macular vascular density served as a protective factor(all P<0.001). Moreover, caspase-1 was identified as a risk factor for the progression of DR to PDR, and macular vascular density was a protective factor against DR progression(all P<0.001). Receiver operating characteristic(ROC)curve analysis showed that the area under the curve(AUC)of caspase-1 combined with macular vascular density for predicting DR occurrence and PDR was 0.864 and 0.890, respectively, both higher than those of single indicators(all PSymbol|@@0.05).CONCLUSION: The combination of macular vascular density from OCTA parameters and serum caspase-1 has important clinical value in assessing severity of DR.

Objective To verify the accuracy of Youssef's formula and evaluate whether fetal biacromial diameter(BA)and other fetal biological diameters estimated by ultrasound can be used to predict macrosomia and shoulder dystocia,so as to provide the possibility for clinical prediction of shoulder dystocia.Methods A total of 200 pregnant women with a gestational period of 37-42 weeks were examined with ultrasound within 3 days before delivery for collecting biparietal diameter(BPD),head circumference(HC),abdominal circumference(AC),humerus length(HL),femur length(FL),thoracic transverse diameter and midpoint diameter of upper arm;and the fetal BA was estimated by Youssef's formula.Neonatal BA,body mass and body length were measured within 1 day after delivery.The above data were analyzed for correlation.Newborns were grouped according to their body mass(macrosomia vs non-macrosomia)and whether they had shoulder dystocia or not(shoulder dystocia vs non-shoulder dystocia).Results(1)The fetal BA estimated by Youssef's formula was consistent with neonatal BA(P>0.05),and the estimated BA was positively correlated with BPD,HC,AC and neonatal body mass(P<0.001).(2)The BA,BA/AC and BA/HC in macrosomia group were different from those in non-macrosomia group(P<0.05).ROC curve showed that the sensitivity and specificity were 92.3%and 88.2%for macrosomia prediction when the estimated BA threshold was 16.05 cm,and those were 61.5%and 77.0%when BA/AC threshold was 0.455,and 76.9%and 72.7%when BA/HC threshold was 0.465.(3)Shoulder dystocia group had neonatal weight close to non-shoulder dystocia group(P>0.05),but higher BA/BPD,BA/HC and BA-BPD(P<0.05).ROC curve showed that the sensitivity and specificity were 100.0%and 66.8%for shoulder dystocia when BA threshold was 15.45 cm,100.0%and 80.6%when BA/BPD threshold was 1.695,100.0%and 81.6%when BA/HC threshold was 0.475,and 100.0%and 76.0%when the threshold difference between BA and BPD was 6.35 cm.Conclusion Fetal BA,BA/BPD,BA/HC,BA/AC and BA-BPD may be effective predictors of shoulder dystocia and macrosomia.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

Objective To verify the accuracy of Youssef's formula and evaluate whether fetal biacromial diameter(BA)and other fetal biological diameters estimated by ultrasound can be used to predict macrosomia and shoulder dystocia,so as to provide the possibility for clinical prediction of shoulder dystocia.Methods A total of 200 pregnant women with a gestational period of 37-42 weeks were examined with ultrasound within 3 days before delivery for collecting biparietal diameter(BPD),head circumference(HC),abdominal circumference(AC),humerus length(HL),femur length(FL),thoracic transverse diameter and midpoint diameter of upper arm;and the fetal BA was estimated by Youssef's formula.Neonatal BA,body mass and body length were measured within 1 day after delivery.The above data were analyzed for correlation.Newborns were grouped according to their body mass(macrosomia vs non-macrosomia)and whether they had shoulder dystocia or not(shoulder dystocia vs non-shoulder dystocia).Results(1)The fetal BA estimated by Youssef's formula was consistent with neonatal BA(P>0.05),and the estimated BA was positively correlated with BPD,HC,AC and neonatal body mass(P<0.001).(2)The BA,BA/AC and BA/HC in macrosomia group were different from those in non-macrosomia group(P<0.05).ROC curve showed that the sensitivity and specificity were 92.3%and 88.2%for macrosomia prediction when the estimated BA threshold was 16.05 cm,and those were 61.5%and 77.0%when BA/AC threshold was 0.455,and 76.9%and 72.7%when BA/HC threshold was 0.465.(3)Shoulder dystocia group had neonatal weight close to non-shoulder dystocia group(P>0.05),but higher BA/BPD,BA/HC and BA-BPD(P<0.05).ROC curve showed that the sensitivity and specificity were 100.0%and 66.8%for shoulder dystocia when BA threshold was 15.45 cm,100.0%and 80.6%when BA/BPD threshold was 1.695,100.0%and 81.6%when BA/HC threshold was 0.475,and 100.0%and 76.0%when the threshold difference between BA and BPD was 6.35 cm.Conclusion Fetal BA,BA/BPD,BA/HC,BA/AC and BA-BPD may be effective predictors of shoulder dystocia and macrosomia.

Objective:To investigate the causal relationships between multiple obesity indices, including body mass index (BMI), body fat percentage, whole-body fat mass, trunk fat mass, leg fat percentage, arm fat percentage, waist circumference, and hip circumference, and preeclampsia (PE) using Mendelian randomization (MR), and to evaluate the mediating effect of triglycerides.Methods:Genome-wide association studies (GWAS) summary statistics from European populations were utilized. Independent genetic loci associated with obesity indices and PE served as instrumental variables of exposure and outcomes. Obesity data (approximately 191 000 female samples) came from UK Biobank; PE data ( n=242 852) from FinnGen Biobank. Causal effects were assessed primarily via inverse variance weighted (IVW), supplemented by MR-Egger, weighted median, MR-pleiotropy residual sum and outlier (MR-PRESSO), and Bayesian weighted MR. Bonferroni correction was applied. Cochran's Q test evaluated heterogeneity; MR-Egger intercept test assessed horizontal pleiotropy; leave-one-out, funnel, and scatter plots conducted sensitivity analyses. Odds ratio ( OR) measured effect sizes. Two-step MR explored triglyceride mediation. Results:Eighty-two to 112 single nucleotide polymorphisms were included as instrumental variables. After Bonferroni correction, significant positive causal associations with PE were observed for: BMI (IVW: OR=1.703, 95% CI: 1.469-1.974, P<0.001), body fat percentage (IVW: OR=1.595, 95% CI: 1.321-1.925, P<0.001), whole-body fat mass (IVW: OR=1.639, 95% CI: 1.389-1.934, P<0.001), right leg fat percentage (IVW: OR=1.610, 95% CI: 1.360-1.905, P<0.001), left leg fat percentage (IVW: OR=1.622, 95% CI: 1.363-1.930, P<0.001), right arm fat percentage (IVW: OR=1.591, 95% CI: 1.351-1.872, P<0.001), left arm fat percentage (IVW: OR=1.710, 95% CI: 1.444-2.024, P<0.001), and waist circumference (IVW: OR=1.815, 95% CI: 1.534-2.148, P<0.001). Sensitivity analyses confirmed robustness. Triglycerides mediated 4.6%-8.2% of these effects. Trunk fat mass and hip circumference showed potential positive associations (IVW: OR>1, 0.005≤ P<0.05). Conclusions:Higher BMI, body fat percentage, whole-body fat mass, leg/arm fat percentages, and waist circumference may increase PE risk, with waist circumference showing the strongest association. These effects may be partially mediated by triglycerides.