Neonatology最新文献

Background: Amniotic infection syndrome (AIS) with perinatal inflammation may increase the susceptibility to intraventricular hemorrhage (IVH) in preterm infants. Given its anti-inflammatory and ductus arteriosus constricting capacities, we hypothesized that prophylactic administration of indomethacin reduces the incidence, severity, and consequences of IVH in the context of perinatal inflammation.

Methods: We evaluated data of infants born between 2009 and 2020 of 22 + 0-25+6 weeks of gestation from 68 German Neonatal Network centers. The effect of indomethacin prophylaxis on outcomes was analyzed in univariate analyses and multivariate regression models including a subgroup of infants with available data on 5-year follow-up.

Results: 4760 infants were included with a median gestational age of 24.6 SSW [interquartile range (IQR) 24.1w-25.2w] and a birth weight of 640 g [IQR 550-750 g]. 1767/4760 (37.1%) preterm infants were born in the context of AIS and 527/4760 (11.1%) received indomethacin prophylaxis. AIS infants receiving prophylactic indomethacin had lower rates of IVH (32.7% vs. 36.9%, p = 0.04), IVH III/IV (9.7% vs. 16.0%, p = 0.02) and the combined outcome of severe IVH or death (15.9% vs. 23.2%, p = 0.01) as compared to infants without prophylaxis. Multivariate logistic regression analyses confirmed our observations. In a subgroup analysis of 730 preterm infants at 5 years of age, we did not find any correlation between prophylactic indomethacin and intelligence quotient <70 or cerebral palsy.

Conclusions: Our observational data demonstrate that prophylactic indomethacin is associated with a reduced risk of IVH in the highly vulnerable subgroup of preterm infants <26 weeks of gestation born from AIS.

Introduction: Studies on risk factors for childhood hearing loss (HL) are usually based on questionnaires or small sample sizes. We conducted a nationwide population-based case-control study to comprehensively analyze the maternal, perinatal, and postnatal risk factors for HL in full-term children.

Methods: We retrieved data from three nationwide databases related to maternal characteristics, perinatal comorbidities, and postnatal characteristics and adverse events. We used 1:5 propensity score matching to include 12,873 full-term children with HL and 64,365 age-, sex-, and enrolled year-matched controls. Conditional logistic regression was used to evaluate the risk factors for HL.

Results: Among the various maternal factors, maternal HL (adjusted odds ratio [aOR]: 8.09, 95% confidence interval [95% CI]: 7.16-9.16) and type 1 diabetes (aOR: 3.79, 95% CI: 1.98-7.24) had the highest odds of childhood hearing impairment. The major perinatal risk factors for childhood hearing impairment included ear malformations (aOR: 58.78, 95% CI: 37.5-92.0) and chromosomal anomalies (aOR: 6.70, 95% CI: 5.25-8.55), and the major postnatal risk factors included meningitis (aOR: 2.08, 95% CI: 1.18-3.67) and seizure (aOR: 3.71, 95% CI: 2.88-4.77). Other factors included acute otitis media, postnatal ototoxic drug use, and congenital infections.

Conclusions: Many risk factors for childhood HL identified in our study are preventable, such as congenital infection, meningitis, ototoxic drug use, and some maternal comorbidities. Accordingly, more effort is required to prevent and control the severity of maternal comorbidities during pregnancy, initiate genetic diagnostic evaluation for high-risk children, and aggressive screening for neonatal infections.

Introduction: Heterogeneous MRI manifestations restrict the efficiency and consistency of neuroradiologists in diagnosing hypoxic-ischemic encephalopathy (HIE) due to complex injury patterns. This study aimed to develop and validate an intelligent HIE identification model (termed as DLCRN, deep learning clinical-radiomics nomogram) based on conventional structural MRI and clinical characteristics.

Methods: In this retrospective case-control study, full-term neonates with HIE and healthy controls were collected in two different medical centers from January 2015 to December 2020. Multivariable logistic regression analysis was implemented to establish the DLCRN model based on conventional MRI sequences and clinical characteristics. Discrimination, calibration, and clinical applicability were used to evaluate the model in the training and validation cohorts. Grad-class activation map algorithm was implemented to visualize the DLCRN.

Results: 186 HIE patients and 219 healthy controls were assigned to the training, internal validation, and independent validation cohorts. Birthweight was incorporated with deep radiomics signatures to create the final DLCRN model. The DLCRN model achieved better discriminatory power than simple radiomics models, with an area under the curve (AUC) of 0.868, 0.813, and 0.798 in the training, internal validation, and independent validation cohorts, respectively. The DLCRN model was well calibrated and has clinical potential. Visualization of the DLCRN highlighted the lesion areas that conformed to radiological identification.

Conclusion: Visualized DLCRN may be a useful tool in the objective and quantitative identification of HIE. Scientific application of the optimized DLCRN model may save time for screening early mild HIE, improve the consistency of HIE diagnosis, and guide timely clinical management.

Introduction: Reports on the influence of postnatal cytomegalovirus (pCMV) infection in neonatal outcomes of preterm babies vary while guidance on management including screening is lacking. We aim to determine the association between symptomatic pCMV infection and chronic lung disease (CLD) and mortality in preterm infants born less than 32 weeks gestation.

Methods: We used data from the Neonatal Intensive Care Units' (NICUS) population-based prospective data registry of infants in 10 neonatal units in New South Wales and the Australian Capital Territory, Australia. De-identified perinatal and neonatal outcome data for 40,933 infants were examined. We identified 172 infants <32 weeks gestation with symptomatic pCMV infection. Each was matched with one control infant.

Results: Infants with symptomatic pCMV infection were 2.7 times more likely to develop CLD (OR 2.7, 95% CI: 1.7-4.5) and spend 25.2 days more in hospital (95% CI: 15.2-35.2). Seventy-five percent (129/172) of infants with symptomatic pCMV were extremely preterm (<28 weeks). The mean age of symptomatic pCMV diagnosis was 62.5 ± 20.5 days or 34.7 ± 3.6 weeks-corrected gestational age. Ganciclovir treatment did not decrease CLD and death. CLD was 5.5 times predictive of death in patients with symptomatic pCMV infection. Symptomatic pCMV infection did not influence mortality nor increase neurologic impairment.

Conclusion: Symptomatic pCMV is a modifiable factor affecting extreme preterm infants with significant impact on CLD. Prospective study on screening and treatment will help unveil potential benefits in our already at-risk preterm infants.

Introduction: Due to the SARS-CoV-2 pandemic, adjustments in patient and visitor traffic were made in hospitals to limit viral exposure. The primary objective of our study was to compare the breastfeeding success of healthy newborns in a maternity ward during the 2020 lockdown period compared with the same period in the previous year.

Material and methods: Single-center comparative study based on prospectively collected data. All neonates born alive, from a single pregnancy, and with a gestational age greater than 36 weeks were considered for this study.

Results: 309 infants born in 2020 and 330 born in 2019 were included. Among women who desired to exclusively breastfeed, the rate of exclusive breastfeeding at discharge from the maternity ward was higher in 2020 than in 2019 (85 vs. 79%; p = 0.078). After logistic regression analysis adjusted for potential confounders (i.e., maternal BMI, parity, mode of delivery, gestational age, and size at birth), study period remained significantly and independently associated with exclusive breastfeeding at discharge (OR [95% CI] = 1.645 [1.005; 2.694]; p = 0.046). Newborns born in 2020 were less likely to have weight loss ≥10% than those born in 2019 (OR [95% CI] = 2.596 [1.148; 5.872]; p = 0.017) but had similar need for phototherapy (p = 0.41).

Conclusion: The success of exclusive breastfeeding during the 2020 lockdown period was increased compared with the same period in 2019.

Introduction: This study evaluated the correlation between skin blood flow and systemic blood flow and whether skin blood flow can determine the circulatory effects of dopamine and dobutamine on blood flow in very low birth weight (VLBW) infants.

Methods: This study was a subanalysis of the PICC-MBF randomized controlled trial. The correlation between skin blood flow and echocardiographic findings was examined. Changes in skin blood flow and blood pressure before and after initiation or dose increase of dopamine and dobutamine were also evaluated.

Results: Two hundred and thirty-four participants underwent echocardiography. Skin blood flow was significantly correlated with supra vena cava (SVC) flow (r = 0.31, p < 0.001). Receiver operator characteristic analysis revealed that skin blood flow <17 mL/min effectively detected SVC flow <41 mL/min (area under the curve = 0.83, p < 0.001). Dobutamine significantly increased skin blood flow after initiation or dose increase (p = 0.033) without increasing blood pressure. However, dopamine significantly increased both skin blood flow (p = 0.010) and blood pressure (p < 0.001).

Conclusions: Our findings indicated that skin blood flow could be used as a surrogate marker of systemic blood flow in VLBW infants and revealed differences in the effects of dopamine and dobutamine on circulation.