Sepsis caused by group B streptococcus has been well controlled with aminobenzylpenicillin, but the incidence of Escherichia coli sepsis has increased in proportion. E. coli is a Gram-negative bacillus associated with poor prognosis due to the release of endotoxins. Conventional treatment with antibiotics alone may not be sufficient because the inflammatory response exacerbates the unstable hemodynamic status. Polymyxin B hemoperfusion has been established as a treatment option for septic shock in adults. Polymyxin B hemoperfusion adsorbs endotoxins and cannabinoids such as anandamide and 2-arachidonoylglycerol. Reported herein is a case of severe septic shock induced by E. coli. The concomitant use of polymyxin B hemoperfusion rapidly reduced the requirement for catecholamines and the patient was discharged without short-term neurological or respiratory sequelae. It is suggested that polymyxin B hemoperfusion might be an innovative therapy for severe sepsis, and could improve outcome.

Aim: Periventricular leukomalacia (PVL) is an important cause of cerebral palsy in premature infants, and cystic PVL is the most serious form of the disease. The risk factors for cystic PVL in singleton fetuses at a gestational age of <35 weeks are unclear. Methods: This study included 2013 singleton birth infants delivered at a gestational age of <35 weeks in Kagoshima City Hospital between 2006 and 2017. The findings for 30 infants with cystic PVL were compared with those for 63 matched control infants by gestational age and birth weight. Results: The cystic PVL was associated with increased incidence of recurrent late deceleration (L/D) (43.4% vs. 15.9%, P = 0.004) and loss of variability (LOV) (10.0% vs. 0.0%, P = 0.03) in fetal heart rate monitoring and late-onset circulatory dysfunction (LCD) (33.3% vs. 11.1%, P = 0.02). Logistic regression analysis revealed that recurrent L/D (odds ratio [OR] = 3.57, 95% confidence interval [CI]: 1.29-10.15, P = 0.01) and LCD (OR = 3.41, 95% CI: 1.09-11.04, P = 0.03) were risk factors associated with cystic PVL. LOV was not included in the multivariate analysis as there were too few cases in both the cystic PVL and control groups. Conclusion: Recurrent L/D, LOV and LCD are strongly associated with cystic PVL. In cases of fetal acidosis related to recurrent L/D or loss of variability, cystic PVL may occur.

The influx of calcium into cells continues regardless of neurological prognosis during the early phase of BHT, but BHT might protect some high-risk patients against neurological damage at low adjusted serum-ionized calcium concentration.

Neonates with early ECMO and those with ECMO duration <8 days may benefit from ECMO with respect to SHD.

Background Regulation of temperature is clinically important in the care of neonates because it has a significant impact on prognosis. Although probes that make contact with the skin are widely used to monitor temperature and provide spot central and peripheral temperature information, they do not provide details of the temperature distribution around the body. Although it is possible to obtain detailed temperature distributions using multiple probes, this is not clinically practical. Thermographic techniques have been reported for measurement of temperature distribution in infants. However, as these methods require manual selection of the regions of interest (ROIs), they are not suitable for introduction into clinical settings in hospitals. Here, we describe a method for segmentation of thermal images that enables continuous quantitative contactless monitoring of the temperature distribution over the whole body of neonates. Methods The semantic segmentation method, U-Net, was applied to thermal images of infants. The optimal combination of Weight Normalization, Group Normalization, and Flexible Rectified Linear Unit (FReLU) was evaluated. U-Net Generative Adversarial Network (U-Net GAN) was applied to thermal images, and a Self-Attention (SA) module was finally applied to U-Net GAN (U-Net GAN + SA) to improve precision. The semantic segmentation performance of these methods was evaluated. Results The optimal semantic segmentation performance was obtained with application of FReLU and Group Normalization to U-Net, showing accuracy of 92.9% and Mean Intersection over Union (mIoU) of 64.5%. U-Net GAN improved the performance, yielding accuracy of 93.3% and mIoU of 66.9%, and U-Net GAN + SA showed further improvement with accuracy of 93.5% and mIoU of 70.4%. Conclusions FReLU and Group Normalization are appropriate semantic segmentation methods for application to neonatal thermal images. U-Net GAN and U-Net GAN + SA significantly improved the mIoU of segmentation.