Objective:To evaluate lung ultrasound (LUS) for assessing lung aeration heterogeneity in neonatal respiratory distress syndrome (NRDS) across gestational ages and analyze its correlation with oxygenation.Methods:This retrospective cohort study enrolled 125 ventilated NRDS neonates from the neonatal intensive care unit of Hebei Children's Hospital (from March 2023 to May 2024), who were stratified as <32 gestational weeks ( n=47) and ≥32 gestational weeks ( n=78). All underwent LUS, chest X-ray, and blood gas analysis within 2 h of admission. The lung ultrasound score (LUSsc) quantified impaired lung volume percentage (graded: A=normal, B=coalescent B-lines, C=dense B-lines/focal consolidation, D=lobar consolidation). Aeration heterogeneity was measured by coefficient of variation (CV, within-patient) and Gini-Simpson index (between-patients), while oxygenation was assessed by arterial oxygen partial pressure/inhaled oxygen concentration (P/F). Group comparisons, including basic information, lung aeration, and lung aeration heterogeneity, used two independent sample t-tests, Mann-Whitney U tests, Chi square tests, or Wilcoxon tests; partial correlation analyzed aeration-oxygenation relationships. Results:(1) Analysis of impaired lung volume percentage revealed similar distribution patterns between groups, with the <32-week cohort ( n=47, 564 lung segments) showing proportions of 15.6% (88/564), 14.9% (84/564), 35.5% (200/564), and 34.0% (192/564) for graded patterns A through D, respectively, while the ≥32-week cohort ( n=78, 936 segments) demonstrated corresponding proportions of 15.7% (147/936), 16.3% (153/936), 31.7% (297/936), and 36.2% (339/936), with no statistically significant difference between groups ( Z=－0.24, P=0.812). (2) Within-patient heterogeneity analysis revealed no significant CV difference between <32-week group and ≥32-week group [0.33 (0.20-0.84) vs. 0.43 (0.21-0.73), Z=－0.99, P=0.321]. (3) Between-patient heterogeneity was significantly higher in the ≥32-week group, as reflected by the Gini-Simpson index [0.12 (0.09-0.14) vs. 0.09 (0.06-0.14), Z=－1.99, P=0.046], with heterogeneous aeration predominantly located in non-gravity-dependent regions—specifically the left upper lung in the <32-week group and anterior lungs in the ≥32-week group. (4) Correlation analyses demonstrated significantly inverse relationships between CV and LUSsc in <32-week and ≥32-week groups ( r=－0.912, P<0.001; r=－0.886, P<0.001), while the ≥32-week group additionally showed positive CV-P/F correlation ( r=0.373, P=0.001) and inverse LUSsc-P/F association ( r=－0.287, P=0.013). Conclusions:LUS effectively evaluates aeration and its heterogeneity in early NRDS. Infants ≥32 weeks exhibit greater between-patient heterogeneity, with ventilation parameters correlating significantly with oxygenation status.

Objective To explore the application value of CT combined with peripheral blood eosinophils(EOS)for distinguishing eosinophilic asthma(EA)from eosinophilic bronchitis(EB).Methods The clinical characteristics,peripheral blood EOS detection and imaging features of 523 patients(328 cases of EA and 195 cases of EB)were retrospectively analyzed.Univariate analysis identi-fied statistically significant parameters,which were further utilized in binary logistic regression to construct an imaging model and a combined model incorporating clinical characteristics,peripheral blood EOS and imaging features.Receiver operating characteristic(ROC)curves were plotted to evaluate the performance of each model.Results Statistically significant differences were observed between the two groups in age,body mass index(BMI),peripheral blood EOS count,peripheral blood EOS percentage,and 11 ima-ging features,including bilateral lung,bronchial wall thickening and bronchial mucus plugs(P＜0.05).The area under the curve(AUC)of the imaging model and the combined model were 0.891 and 0.918,respectively.Conclusion The combined application of CT and peripheral blood EOS detection can improve the efficiency,simplicity,and accessibility of distinguishing EA from EB.

Objective To explore the application value of CT combined with peripheral blood eosinophils(EOS)for distinguishing eosinophilic asthma(EA)from eosinophilic bronchitis(EB).Methods The clinical characteristics,peripheral blood EOS detection and imaging features of 523 patients(328 cases of EA and 195 cases of EB)were retrospectively analyzed.Univariate analysis identi-fied statistically significant parameters,which were further utilized in binary logistic regression to construct an imaging model and a combined model incorporating clinical characteristics,peripheral blood EOS and imaging features.Receiver operating characteristic(ROC)curves were plotted to evaluate the performance of each model.Results Statistically significant differences were observed between the two groups in age,body mass index(BMI),peripheral blood EOS count,peripheral blood EOS percentage,and 11 ima-ging features,including bilateral lung,bronchial wall thickening and bronchial mucus plugs(P＜0.05).The area under the curve(AUC)of the imaging model and the combined model were 0.891 and 0.918,respectively.Conclusion The combined application of CT and peripheral blood EOS detection can improve the efficiency,simplicity,and accessibility of distinguishing EA from EB.

Objective:To evaluate lung ultrasound (LUS) for assessing lung aeration heterogeneity in neonatal respiratory distress syndrome (NRDS) across gestational ages and analyze its correlation with oxygenation.Methods:This retrospective cohort study enrolled 125 ventilated NRDS neonates from the neonatal intensive care unit of Hebei Children's Hospital (from March 2023 to May 2024), who were stratified as <32 gestational weeks ( n=47) and ≥32 gestational weeks ( n=78). All underwent LUS, chest X-ray, and blood gas analysis within 2 h of admission. The lung ultrasound score (LUSsc) quantified impaired lung volume percentage (graded: A=normal, B=coalescent B-lines, C=dense B-lines/focal consolidation, D=lobar consolidation). Aeration heterogeneity was measured by coefficient of variation (CV, within-patient) and Gini-Simpson index (between-patients), while oxygenation was assessed by arterial oxygen partial pressure/inhaled oxygen concentration (P/F). Group comparisons, including basic information, lung aeration, and lung aeration heterogeneity, used two independent sample t-tests, Mann-Whitney U tests, Chi square tests, or Wilcoxon tests; partial correlation analyzed aeration-oxygenation relationships. Results:(1) Analysis of impaired lung volume percentage revealed similar distribution patterns between groups, with the <32-week cohort ( n=47, 564 lung segments) showing proportions of 15.6% (88/564), 14.9% (84/564), 35.5% (200/564), and 34.0% (192/564) for graded patterns A through D, respectively, while the ≥32-week cohort ( n=78, 936 segments) demonstrated corresponding proportions of 15.7% (147/936), 16.3% (153/936), 31.7% (297/936), and 36.2% (339/936), with no statistically significant difference between groups ( Z=－0.24, P=0.812). (2) Within-patient heterogeneity analysis revealed no significant CV difference between <32-week group and ≥32-week group [0.33 (0.20-0.84) vs. 0.43 (0.21-0.73), Z=－0.99, P=0.321]. (3) Between-patient heterogeneity was significantly higher in the ≥32-week group, as reflected by the Gini-Simpson index [0.12 (0.09-0.14) vs. 0.09 (0.06-0.14), Z=－1.99, P=0.046], with heterogeneous aeration predominantly located in non-gravity-dependent regions—specifically the left upper lung in the <32-week group and anterior lungs in the ≥32-week group. (4) Correlation analyses demonstrated significantly inverse relationships between CV and LUSsc in <32-week and ≥32-week groups ( r=－0.912, P<0.001; r=－0.886, P<0.001), while the ≥32-week group additionally showed positive CV-P/F correlation ( r=0.373, P=0.001) and inverse LUSsc-P/F association ( r=－0.287, P=0.013). Conclusions:LUS effectively evaluates aeration and its heterogeneity in early NRDS. Infants ≥32 weeks exhibit greater between-patient heterogeneity, with ventilation parameters correlating significantly with oxygenation status.

Building a multi-source heterogeneous data fusion platform for clinical data centers has become a common consensus in the medical information industry. The data fusion platform built by a certain hospital consisted of five parts: data acquisition module, data processing module, data comparison and repair module, data subscription and application module, and data fusion management platform. Data quality check was conducted on data scattered across the hospital′s operational systems with different structures and types, diverse patterns and states, different sizes and versions. The platform could handle duplicate and redundant metadata, collect, transform, process, distribute, and load data as needed, and maintain data consistency through comparison and repair. This platform is capable of automatically capturing, analyzing, governing, and integrating different types of data across databases, operating systems, and hardware environments, meeting diverse medical data application needs, and supporting the high-quality development of intelligent hospitals

Objective:To analyze the clinical features and etiological results of neonatal central nervous system(CNS) infection and provide basis for optimization of pathogen detection strategy for CNS infection.Methods:We collected the clinical and laboratory data of hospitalized neonates with clinical diagnosis of CNS infection in the neonatal department at Hebei Provincial Children′s Hospital, from January 1, 2020 to August 31, 2021.The clinical manifestations of the enrolled neonates, as well as the cerebrospinal fluid(CSF)pathogens detected by conventional and molecular biological detection techniques were analyzed.Laboratory characteristics of different kinds of pathogen were compared.Results:A total of 101 eligible neonates were enrolled.The median gestational age was 38.8(36.2, 39.6)weeks, with a prematurity rate 26.7%.There were 68 boys.The median age of onset was 9(2, 14)days.Blood culture was positive in 19(18.8%) cases, including 17 cases of bacteria and two cases of fungus.Positive findings were found in CSF specimens of 33(32.7%)cases by various methods including 13 bacteria, 19 viruses and one fungi.Streptococcus group B and Escherichia coli were the first two bacteria in CSF.Enterovirus was the most common virus in CSF.In terms of detection methods of CSF pathogens, seven cases(7/101, 6.9%) were detected by CSF culture, two cases(2/21, 9.5%)by smear, 22 cases(22/45, 48.9%)by single-virus targeted/multiplex polymerase chain reaction and four cases(4/7, 57.1%)by metagenomic next-generation sequencing.The CSF white blood cell counts, protein levels and blood C-reactive protein levels were higher in the cases with bacteria/fungi detection from CNS infection than in those with virus detection( P<0.05). Almost all neonates(98/101, 97.0%)were clinically cured or significantly improved before discharge.Two neonates were discharged against medical advice and one neonate was transferred to the other hospital after clinical improvement. Conclusion:Combined use of conventional and molecular biological detection techniques can significantly improve the etiological positive rate of neonatal CNS infection.Viral infection is not rare in the neonatal population.Our study demonstrated the spectrum of organism causing neonatal CNS infection, which provided a basis for the optimization of pathogen detection strategy.

OBJECTIVETo improve the method of indirubin in serum by HPLC and apply to pharmacokinetics in rats.

METHODChromatographic separation was conducted on an C18 column (4.6 mm x 250 mm, 5 microm), using a mixture of methanol-water (75:25) as mobile phase at a flow rate of 1.0 mL min(-1) with UV detection at 289 nm, the column temperature was at 35 degrees C and ethinyl estradiol was used as an internal standard. Rats were administered i. v. bolus of indirubin in doses of 2.0 and 4.0 mg x kg(-1) through a jugular vein catheter, respectively. Serial blood samples (about 100 microL) were individually collected at 2, 5, 10, 20, 30, 60, 90, 120, 180 min after administration, and the concentrations of indirubin determined were in rat serum by HPLC. The pharmacokinetic parameters were calculated with the Winnonlin 5.0 software.

RESULTThe calibration curve for indirubin was linear ( R2 = 0.9996) in the range of 0.031-2.48 mg x L(-1) and the limit of detection (LOD) was 31 microg x L(-1). The average recovery of indirubin in rat serum was more than 98% and the relative standard deviations of intra-day and inter-day were both less than 10%. The pharmacokinetics of Indirubin in rats was fitted to two-compartment model.

CONCLUSIONThe method is simple and accurate with a high sensitivity and a good repeatability, and it can be applied to the evaluation of pharmacokinetic parameters of indirubin in rats and blood concentration of indirubin in clinical controlling.

Animals ; Chromatography, High Pressure Liquid ; methods ; Indoles ; blood ; pharmacokinetics ; Male ; Rats ; Rats, Wistar