Ultrasound can be used not only for the diagnosis and differential diagnosis of lung diseases,it also has unique advantage for the treatment or adjuvant therapy of various lung diseases.According to the results of the research and clinical observation,lung ultrasound has obvious effects for the management of various of lung diseases,such as bronchoalveolar lavage for the treatment of atelectatic lung diseases,thoracocentesis for severe pleural effusion or pneumothorax,evaluation of the therapeutic effects of exogenous pulmonary surfactant,and the guidance of using or weaning ventilator.The application of the lung ultrasound has changed the concepts of clinicians for the management neonatal lung disease,which will be induced in this paper.

Objective:To analized brain function monitoring results with amplitude- integrated electroencephalogram (aEEG) in neonatal ward.Methods:The clinical data of 1 370 newborns received aEEG monitoring in Neonatal Department of our hospital from September 2017 to August 2019 were retrospectively analyzed.Results:Among 1 370 neonates undergoing aEEG examination,abnormalities were demonstrated in 308 cases with an overall abnormal rate of 22.5%. The abnormal rate in critical neonates was 27.7% (240/868),while that in non-critical neonates was 13.6% (68/502) (χ2=36.304, P<0.01). Neonates with convulsion had the highest aEEG abnormal rate (57.1%, 16/28), followed by small for gestational age (SGA) (48.8%, 20/41), asphyxia (41.5%, 49/118), premature (31.1%, 92/296)and erythrocytosis (29.7%, 11/37). Among 308 cases of abnormal aEEG, the main types of abnormalities were abnormal background activity in 229 cases (74.4%),insignificant sleep-wake cycles in 139 cases (45.1%) and abnormal original EEG in 117 cases (40.0%). Among 308 cases of abnormal aEEG, 38.0%(117 cases) had corresponding clinical manifestations and 62.0%(191 cases) had no clinical manifestations. The sensitivity of aEEG monitoring is 73.6%(117/159), and the specificity is 84.2%(1 020/1 211). Conclusions:The abnormal rate of aEEG is high in hospitalized neonates,especially in critically ill neonates. It is necessary to carry out routine aEEG examination for hospitalized neonates in order to early detect brain function damage.

Objective To study the levels of antibodies against bordetella pertussis among pregnant women and neonates in Beijing. Method From December 2016 to March 2017, pregnant women and their newborns from three women and children′s hospitals in Beijing were enrolled in this study. 3 ml of venous blood from the mothers and 3 ml of umbilical cord blood from neonates were drawn.Pertussis bacillus IgG antibody (PER-IgG) and pertussis toxin IgG antibody (PT-IgG) were tested using enzyme-linked immunosorbent assay. χ2 test was used to compare the positive rate of pertussis IgG antibodies in maternal and cord blood in the three hospitals. Correlational analyses of the antibodies levels in each hospital were conducted. The demographic characteristics, history of cough during pregnancy and history of DTaP vaccination of the mothers were collected via questionnaires. Result A total of 612 pairs of venous blood and cord blood samples were collected, including 4 mothers delivered twins and 616 cases of cord blood sample were collected. No history of pertussis were found in the 612 mothers. Among the 616 cases of umbilical cord blood, positive rate of PER-IgG was 13.3％ (82/616), positive rate of PT-IgG was 0.5％ (3/616). Among 612 cases of venous blood from the mothers, positive rate of PER-IgG was 7.7％ (47/612), positive rate of PT-IgG was 0.3％ (2/612). Positive rates of PER-IgG and PT-IgG in the mothers′ venous blood were not correlated with their residences (P=0.676 and 0.544). Positive rates of PER-IgG (r=0.842, P<0.001) and PT-IgG (r=0.619, P<0.001) in the mothers′ blood were positively correlated with the positive rate in umbilical cord blood. Conclusion This study shows that the positive rate of PER-IgG is very low in the maternal and umbilical cord blood in Beijing. Positive correlations of PER-IgG and PT-IgG between mother and umbilical cord blood were existed. Most mothers and their newborns do not have enough protection against pertussis.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.