ObjectivesCentral nervous system (CNS) infection has a high incidence and mortality in neonates, but conventional tests are time-consuming and have a low sensitivity. Some rare genetic diseases may have some similar clinical manifestations as CNS infection. Therefore, we aimed to evaluate the performance of metagenomic next-generation sequencing (mNGS) in diagnosing neonatal CNS infection and to explore the etiology of neonatal suspected CNS infection by combining mNGS with whole exome sequencing (WES).MethodsWe prospectively enrolled neonates with a suspected CNS infection who were admitted to the neonatal intensive care unit(NICU) from September 1, 2019, to May 31, 2020. Cerebrospinal fluid (CSF) samples collected from all patients were tested by using conventional methods and mNGS. For patients with a confirmed CNS infection and patients with an unclear clinical diagnosis, WES was performed on blood samples.ResultsEighty-eight neonatal patients were enrolled, and 101 CSF samples were collected. Fourty-three blood samples were collected for WES. mNGS showed a sample diagnostic yield of 19.8% (20/101) compared to 4.95% (5/101) for the conventional methods. In the empirical treatment group, the detection rate of mNGS was significantly higher than that of conventional methods [27% vs. 6.3%, p=0.002]. Among the 88 patients, 15 patients were etiologically diagnosed by mNGS alone, five patients were etiologically identified by WES alone, and one patient was diagnosed by both mNGS and WES. Twelve of 13 diagnoses based solely on mNGS had a likely clinical effect. Six patients diagnosed by WES also experienced clinical effect.ConclusionsFor patients with a suspected CNS infections, mNGS combined with WES might significantly improve the diagnostic rate of the etiology and effectively guide clinical strategies.
Amino-functionalized nanosilica (ANS) was prepared using nanosilica (NS) and 3aminopropyltriethoxysilane (APTES) aiming to reinforce the interaction between nanoparticles and polymer molecules. The copolymer of acrylamide, 2-acrylamido-2-methyl-1-propane sulfonic acid (PM), and four ANS samples with different NS to APTES ratios were synthesized. A series of nanoparticle/polymer hybrid systems were fabricated by introducing NS or ANS suspension into PM aqueous solution. The rheological properties and surface activities of these hybrid systems were studied in comparison with PM. The results indicate that the salt-tolerance and heat-resistance properties of PM solution were improved by the introduction of ANS particles. Moreover, the structures of ANS samples have a significant effect on the effectiveness of the nanoparticles due to the fact that the amine group density on the ANS surface can affect the strength of intermolecular interaction between nanoparticles and polymer molecules. Additionally, the better ability of the ANS sample with proper amine group density showed in reducing the oil/water interfacial tension over NS and other ANS samples made it a more promising chemical for enhancing oil recovery. The results from core flooding tests show that the PM/ANS system has the greatest oil recovery factor (16.30%), while the values for PM/NS and PM are 10.84% and 6.00%, respectively.
Objective The aim of this study is to identify causes of neonatal intensive care unit (NICU) death in extremely low birth weight (ELBW) infants less than 1,000 g admitted in Chinese tertiary NICUs. Study design We retrospectively collected data on 607 ELBW infants from 39 level III NICUs from July 2016 to June 2019. The primary causes of death were compared among different gestation age, postnatal age groups, and areas with variable economic status. Results Among all 607 ELBW NICU deaths, 47.1% were multiple gestation with high rate of in vitro fertilization (IVF) (43.3%); 53.4 and 34.1% received any or full course of antenatal corticosteroid (ACS). The most common causes of ELBW NICU death were respiratory distress syndrome-related neonatal respiratory failure (RDS-NRF, 43.5%), severe infection (19.1%), necrotizing enterocolitis or bowel perforation (9.4%), severe central nervous system injury (8.4%), and bronchopulmonary dysplasia-related respiratory failure (BPD-NRF, 7.7%). Causes of ELBW NICU death varied across postnatal age groups. RDS-NRF was the leading cause of early neonatal death, while severe infection in late neonatal death and BPD in postneonatal EBLW NICU death. RDS-NRF, severe brain injury, and asphyxia were most likely to die at early neonatal age (median age [interquartile range], 2 [0–5], 6 [3–9], and 3 [1–6] days, respectively) while severe infection and necrotizing enterocolitis (NEC) at late neonatal age, BPD-NRF at postneonatal age. Conclusion In Chinese tertiary NICUs, the major causes of death in extremely low birth weight infants were RDS, infection, NEC, brain injury and BPD, and they varied with postnatal age. Developing specific prevention strategies for identified causes of death in ELBW NICU may potentially improve ELBW survival.
ObjectiveTo validate a three-step protocol that assesses the clinical risk associated with using blood glucose monitoring systems (BGMS) in neonates for the management of dysglycaemia.MethodThe three-step validation approach included confirmation of the accuracy of the reference method using National Institute of Standards and Technology (NIST) glucose standards, assessment of analytical risk performed on whole blood collected from paediatric patients routinely tested for glucose and a clinical risk assessment performed using heel stick capillary samples collected from 147 new-born babies and neonates admitted to intensive care. BGMS glucose measurements were compared with the NIST aligned laboratory reference method.ResultsThe accuracy of the laboratory reference method was confirmed with the NIST standards. Specificity studies demonstrated that the accuracy of one of the BGMS was affected, particularly, in the hypoglycaemic range, by known interference factors including haematocrit, ascorbic acid, lactose, galactose, N-acetylcysteine and glutathione. The accuracy of the other BGMS was unaffected. The clinical performance of this BGMS in neonates met the system accuracy criteria of Clinical and Laboratory Standards Institute (CLSI) POCT 12-A3 standard for evaluating hospital BGMS with 95.1% of glucose measurements within±0.67 mmol/L for samples ≤5.55 mmol/L and 95.6% within±12.5% for samples>5.55 mmol/L.ConclusionsThis three-step validation protocol provides a challenging approach for determining the accuracy and reliability of BGMS for managing dysglycaemia in neonates. StatStrip BGMS achieved analytical and clinical performance criteria confirming its suitability for use in neonates. We advocate that this validation approach should be considered for performance evaluations of both BGMS and continuous glucose monitoring systems going forward.
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