Objective:To compare the cardiac size，morphology，and function between anemic and normal fetuses using a hybrid artificial intelligence（AI）model，and to evaluate the utility of AI in quantitatively assessing fetal cardiac function in cases of anemia.Methods:A retrospective study was conducted by collecting data from 2018 to 2024 at the Seventh Affiliated Hospital of Sun Yat-sen University，including 15 cases of anemic fetuses（anemia group）diagnosed through umbilical venous puncture and 32 cases of normal fetuses（control group）. Four-chamber fetal cardiac ultrasound videos and left/right ventricular segments were included，with 44 videos and 1 056 segments in the anemia group，and 46 videos and 1 104 segments in the control group. Based on dynamic four-chamber heart images，the hybrid AI model was employed to extract heart measurement parameters，including basal-apical length（BAL），transverse width（TW），global sphericity index（GSI），end-diastolic area（EDA），24-segment left and right ventricular end-diastolic diameter（LVEDD，RVEDD），segmental sphericity index（LVSI，RVSI），global longitudinal strain（LVGLS，RVGLS），fractional area change（LVFAC，RVFAC），segmental fractional shortening（LVFS，RVFS），along with their corresponding Z-scores. The differences in cardiac size，morphology，and function parameters between the two groups were compared. Pearson correlation analysis was performed for the parameters of the control group（BAL，TW，EDA，GLS，LVGLS，RVGLS，LVFAC，and RVFAC）against gestational age. The measurement consistencies of AI technology and fetal HQ technology in normal and anemia groups were evaluated.Results:No significant differences were found in BAL，TW，EDA，or GSI between groups（all P>0.05）. RVEDD in segments 3-24 was significantly larger in the anemia group（all P<0.05），with significantly higher Z-score abnormality rates for LVEDD and RVEDD across 24 segments（both P<0.001）. LVSI in segments 7-10，12，14-15 and RVSI in segments 1-23 were lower in the anemia group（all P<0.05），with significantly higher Z-score abnormality rates for LVSI and RVSI across 24 segments（both P<0.001）. The absolute values of LVGLS and LVFAC were significantly reduced in the anemia group（both P<0.05），while the absolute values of RVGLS and RVFAC showed no significant differences（both P>0.05）. Segmental LVFS values were significantly lower in the anemia group for segments 2，5-8，11-13（all P<0.05）. In the control group，BAL，TW，and EDA positively correlated with gestational age（ r=0.913，0.947，0.907；all P<0.001），while GSI，LVGLS，RVGLS，LVFAC and RVFAC showed no or weak correlations（ r=-0.221，0.353，0.515，-0.409，-0.425）. The intraclass correlation coefficient（ICC）between AI-based and conventional fetal HQ evaluations were 0.788 for the control group and 0.837 for the anemia group，indicating good consistency. Conclusions:AI offers a reliable approach for quantitatively evaluating fetal cardiac size，shape，and systolic function. Fetal anemia primarily affects right ventricular morphology and left ventricular systolic performance，characterized by spherical remodeling of the right ventricle and reductions in LVGLS，LVFAC，and segmental LVFS. The hybrid AI model holds potential value in fetal cardiac function assessment.

Objective To investigate the distribution and antibiotic resistance profiles of clinical isolates in Beijing Children's Hospital,Capital Medical University from 2016 to 2022.Methods All the strains isolated from inpatients in Beijing Children's Hospital during the period from 2016 to 2022 were analyzed.Antimicrobial susceptibility test was conducted by Kirby-Bauer method or automated system.Results were interpreted according to the breakpoints recommended in the CLSI Ml00 2022 edition.Results A total of 24 904 isolates were analyzed,including Gram-positive bacteria(49.4％)and Gram-negative bacteria(50.6％).The top three Gram-positive bacteria were Staphylococcus aureus(15.6％),coagulase-negative Staphylococcus(14.0％),and Streptococcus pneumoniae(8.9％).The top three Gram-negative bacteria were Klebsiella spp.(8.6％),Pseudomonas aeruginosa(8.6％),and Haemophilus influenzae(8.1％).The prevalence of methicillin-resistant strains was 30.9％in SS.aureus(MRSA)and 82.7％in coagulase-negative Staphylococcus(MRCNS).The prevalence of PRSP was 75.0％(24/32)in meningitis isolates and 2.6％(57/2 195)in non-meningitis isolates.Five strains of E.faecium and 10 strains of E.faecalis were found resistant to linezolid.Two strains of E.faecium were resistant to vancomycin.The prevalence of extended-spectrum beta-lactamases(ESBLs)and carbapenem-resistant strains(CREco)in E.coli isolates was 69.0％and 9.7％,respectively.The prevalence of ESBLs and carbapenem-resistant strains(CRKpn)in K.pneumoniae isolates was 73.7％,and 37.2％,respectively.The prevalence of carbapenem-resistant strains was 21.9％in P.aeruginosa isolates and 59.3％in A.baumannii isolates.β-lactamase was detected in 68.3％of the H.influenzae isolates.Conclusions Antimicrobial resistance is still serious in children.It is necessary to strength the surveillance of bacterial resistance and use antibiotics rationally in order to curb the spread of drug-resistant strains.

Objective To investigate the distribution and antibiotic resistance profiles of clinical isolates in Beijing Children's Hospital,Capital Medical University from 2016 to 2022.Methods All the strains isolated from inpatients in Beijing Children's Hospital during the period from 2016 to 2022 were analyzed.Antimicrobial susceptibility test was conducted by Kirby-Bauer method or automated system.Results were interpreted according to the breakpoints recommended in the CLSI Ml00 2022 edition.Results A total of 24 904 isolates were analyzed,including Gram-positive bacteria(49.4％)and Gram-negative bacteria(50.6％).The top three Gram-positive bacteria were Staphylococcus aureus(15.6％),coagulase-negative Staphylococcus(14.0％),and Streptococcus pneumoniae(8.9％).The top three Gram-negative bacteria were Klebsiella spp.(8.6％),Pseudomonas aeruginosa(8.6％),and Haemophilus influenzae(8.1％).The prevalence of methicillin-resistant strains was 30.9％in SS.aureus(MRSA)and 82.7％in coagulase-negative Staphylococcus(MRCNS).The prevalence of PRSP was 75.0％(24/32)in meningitis isolates and 2.6％(57/2 195)in non-meningitis isolates.Five strains of E.faecium and 10 strains of E.faecalis were found resistant to linezolid.Two strains of E.faecium were resistant to vancomycin.The prevalence of extended-spectrum beta-lactamases(ESBLs)and carbapenem-resistant strains(CREco)in E.coli isolates was 69.0％and 9.7％,respectively.The prevalence of ESBLs and carbapenem-resistant strains(CRKpn)in K.pneumoniae isolates was 73.7％,and 37.2％,respectively.The prevalence of carbapenem-resistant strains was 21.9％in P.aeruginosa isolates and 59.3％in A.baumannii isolates.β-lactamase was detected in 68.3％of the H.influenzae isolates.Conclusions Antimicrobial resistance is still serious in children.It is necessary to strength the surveillance of bacterial resistance and use antibiotics rationally in order to curb the spread of drug-resistant strains.

Objective:To compare the cardiac size，morphology，and function between anemic and normal fetuses using a hybrid artificial intelligence（AI）model，and to evaluate the utility of AI in quantitatively assessing fetal cardiac function in cases of anemia.Methods:A retrospective study was conducted by collecting data from 2018 to 2024 at the Seventh Affiliated Hospital of Sun Yat-sen University，including 15 cases of anemic fetuses（anemia group）diagnosed through umbilical venous puncture and 32 cases of normal fetuses（control group）. Four-chamber fetal cardiac ultrasound videos and left/right ventricular segments were included，with 44 videos and 1 056 segments in the anemia group，and 46 videos and 1 104 segments in the control group. Based on dynamic four-chamber heart images，the hybrid AI model was employed to extract heart measurement parameters，including basal-apical length（BAL），transverse width（TW），global sphericity index（GSI），end-diastolic area（EDA），24-segment left and right ventricular end-diastolic diameter（LVEDD，RVEDD），segmental sphericity index（LVSI，RVSI），global longitudinal strain（LVGLS，RVGLS），fractional area change（LVFAC，RVFAC），segmental fractional shortening（LVFS，RVFS），along with their corresponding Z-scores. The differences in cardiac size，morphology，and function parameters between the two groups were compared. Pearson correlation analysis was performed for the parameters of the control group（BAL，TW，EDA，GLS，LVGLS，RVGLS，LVFAC，and RVFAC）against gestational age. The measurement consistencies of AI technology and fetal HQ technology in normal and anemia groups were evaluated.Results:No significant differences were found in BAL，TW，EDA，or GSI between groups（all P>0.05）. RVEDD in segments 3-24 was significantly larger in the anemia group（all P<0.05），with significantly higher Z-score abnormality rates for LVEDD and RVEDD across 24 segments（both P<0.001）. LVSI in segments 7-10，12，14-15 and RVSI in segments 1-23 were lower in the anemia group（all P<0.05），with significantly higher Z-score abnormality rates for LVSI and RVSI across 24 segments（both P<0.001）. The absolute values of LVGLS and LVFAC were significantly reduced in the anemia group（both P<0.05），while the absolute values of RVGLS and RVFAC showed no significant differences（both P>0.05）. Segmental LVFS values were significantly lower in the anemia group for segments 2，5-8，11-13（all P<0.05）. In the control group，BAL，TW，and EDA positively correlated with gestational age（ r=0.913，0.947，0.907；all P<0.001），while GSI，LVGLS，RVGLS，LVFAC and RVFAC showed no or weak correlations（ r=-0.221，0.353，0.515，-0.409，-0.425）. The intraclass correlation coefficient（ICC）between AI-based and conventional fetal HQ evaluations were 0.788 for the control group and 0.837 for the anemia group，indicating good consistency. Conclusions:AI offers a reliable approach for quantitatively evaluating fetal cardiac size，shape，and systolic function. Fetal anemia primarily affects right ventricular morphology and left ventricular systolic performance，characterized by spherical remodeling of the right ventricle and reductions in LVGLS，LVFAC，and segmental LVFS. The hybrid AI model holds potential value in fetal cardiac function assessment.

Aim To elucidate the therapeutic effect of ginsenosides, berberine and jasminoidin after given a-lone or treatment with combination on the focal cerebral ischemia rats and study the compatibility mechanism. Methods We determined 12 endogenous amino acids in serum of rats after cerebral ischemia over 12 hours with RRLC-QQQ to evaluate the integrated role of YQJD at the dosage of 25 mg·kg-1 and 5 mg·kg-1 . Generally accepted methods were used, including be-havior test, One-Way AVONA, PLS-DA, as well as PCA to evaluate the injury induced by focal cerebral is-chemia. Results The score of neurological deficits and the level of five amino acids, namely Glu, Asp, Met, Hcy, Phe in the combination of ginsenosides, berberine and jasminoidin group in the dosage of 25 mg ·kg-1 and 5 mg·kg-1 significantly decreased (P<0. 05, P<0. 01) compared to those of model group. For another, the largest contribution group in the three principal components of PC1 , PC3 , PC4 at the dosage of 25 mg/kg and the six principal components PC1 ~PC5, PC7 in 5 mg·kg-1 was the combination of gin-senosides, berberine, jasminoidin group. Conclusions The results suggest that the efficacy of the combina-tion of ginsenosides, berberine and jasminoidin is su-perior to the combination of two or any single compo-nent, which can significantly improve the metabolic disorder of the endogenous amino acid after cerebral is-chemia. And it could be speculated that ginsenosides may play a more important role than berberine and jas-minoidin in regulating the level of amino acid metabo-lism.

OBJECTIVETo study the preparation of cantharidin entrapped non-ionic surfactant vesicle (noisome)and evaluate its quality.

METHODThe niosome loaded with cantharidin was prepared using injection method by non-ionic surfactants as the carrier. An centrifugation separation method and HPLC analysis method of the cantharidin were established to detect the entrapment efficiency. The optimum preparation technology was established by a orthogonal experiment. The morphology, and particle size were studied to evaluate the preparation.

RESULTThe average size of niosomes were (209. 8 +/- 0.5) nm. The entrapment efficiency of the CTD-NS was (27.5% +/- 2.0%) and Zeta potential was (41.5 +/- 0.65) mV.

CONCLUSIONThe preparation of cantharidin noisome by TweenA and SpanB is practicable and successful. These experiments can be the basement of developing targeting drug delivery system.

Cantharidin ; administration & dosage ; chemistry ; isolation & purification ; Chromatography, High Pressure Liquid ; Drug Delivery Systems ; Liposomes ; administration & dosage ; chemistry ; Particle Size ; Surface-Active Agents ; administration & dosage

Objective To explore the bone marrow pathology ,diagnosis and differential diagnosis of Waldenstrom macroglobulinemia(WM). Methods 19 WM patients was examined by bone marrow aspiration (BMA) and bone marrow biopsy (BMB) for morphology. Flow cytometry (FCM) and immunohistochemistry (IHC) for immunophenotyping. Results Plasmacytoid lymphocytes were identified in 11 BMA. All of 19 BMB were involved by lymphoma cells. 17 cases showed a predominance of small lymphocytes and 2 of plasmacytoid lymphocytes. Typically plasmacytoid lymphocytes were not seen in 4 cases. Patterns of bone marrow involvement were as follow: diffuse (12 cases), nodular (4 cases), interstitial (3 cases). Immunophenotypically, FCM showed all cases were CD_(19)~+, CD_(20)~+, CD_(22)~+, CD_5~- and CD_(10)~-. IHC revealed small lymphocytes and plasmacytoid lymphocytes were Pax5~+ CD_(20)~+ and plasma cells were CD_(38) CD_(138)~+ CD_(20)~- Pax5~-. Conclusion Small lymphocytes proliferation with plasmacytic differentiation is the typical bone marrow pathologic features of WM. IHC is benefit for identifying lymphocytes and plasma cells components. The Combination of morphology, FCM and IHC is contributive to the diagnosis and differentiation of WM.