Development and validation of a nomogram prediction model for ADHD in children based on individual, family, and social factors.

OBJECTIVES: A reliable, user-friendly, and multidimensional prediction tool can help to identify children at high risk for ADHD and facilitate early recognition and family management of ADHD. We aimed to develop and validate a risk nomogram for ADHD in children aged 3-17 years in the United States based on clinical manifestations and complex environments. METHODS: A total of 141,356 cases were collected for the prediction model. Another 54,444 cases from a new data set were utilized for performing independent external validation. The LASSO regression was used to control possible variables. A final risk nomogram for ADHD was established based on logistic regression, and the discrimination and calibration of the established nomogram were evaluated by bootstrapping with 1000 resamples. RESULTS: A final risk nomogram for ADHD was established based on 13 independent predictors, including behavioral problems, learning disabilities, age, intellectual disabilities, anxiety symptoms, gender, premature birth, maternal age at childbirth, parent-child interaction patterns, etc. The C-index of this model was 0.887 in the training set, and 0.862 in the validation set. Internal and external validation proved that the model was reliable. CONCLUSIONS: A nomogram, a statistical prediction tool that assesses individualized ADHD risk for children is helpful for the early identification of children at high risk for ADHD and the construction of a conceptual model of society-family-school collaborative diagnosis, treatment, and management of ADHD.

Effect of Placental Transfusion on Long-Term Neurodevelopmental Outcomes in Premature Infants: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: The pathophysiology and the potential risks of placental transfusion (PT) differ substantially in preterm infants, necessitating specific studies in this population. This study aimed to evaluate the safety and efficacy of PT in preterm infants from the perspective of long-term neurodevelopmental outcomes. METHODS: We conducted a systematic literature search using placental transfusion, preterm infant, and its synonyms as search terms. Cochrane Central Register of Controlled Trials, Medline, and Embase were searched until March 07, 2023. Two reviewers independently identified, extracted relevant randomized controlled trials, and appraised the risk of bias. The extracted studies were included in the meta-analysis of long-term neurodevelopmental clinical outcomes using fixed-effects models. RESULTS: A total of 5612 articles were identified, and seven randomized controlled trials involving 2551 infants were included in our meta-analysis. Compared with immediate cord clamping (ICC), PT may not impact adverse neurodevelopment events. No clear evidence was found of a difference in the risk of neurodevelopmental impairment (risk ratio [RR]: 0.89, 95% confidence interval [CI]: 0.76 to 1.03, P = 0.13, I2 = 0). PT was not associated with the incidence of cerebral palsy (RR: 1.23, 95% CI: 0.59 to 2.57, P = 0.79, I2 = 0). Analyses showed no differences between the two interventions in cognitive, language, and motor domains of neurodevelopment. CONCLUSIONS: From the perspective of long-term neurodevelopment, PT at preterm birth may be as safe as ICC. Future studies should focus on standardized, high-quality clinical trials and individual participant data to optimize cord management strategies for preterm infants after birth.

A Sequential End-to-End Neonatal Sleep Staging Model with Squeeze and Excitation Blocks and Sequential Multi-Scale Convolution Neural Networks.

Automatic sleep staging offers a quick and objective assessment for quantitatively interpreting sleep stages in neonates. However, most of the existing studies either do not encompass any temporal information, or simply apply neural networks to exploit temporal information at the expense of high computational overhead and modeling ambiguity. This limits the application of these methods to multiple scenarios. In this paper, a sequential end-to-end sleep staging model, SeqEESleepNet, which is competent for parallelly processing sequential epochs and has a fast training rate to adapt to different scenarios, is proposed. SeqEESleepNet consists of a sequence epoch generation (SEG) module, a sequential multi-scale convolution neural network (SMSCNN) and squeeze and excitation (SE) blocks. The SEG module expands independent epochs into sequential signals, enabling the model to learn the temporal information between sleep stages. SMSCNN is a multi-scale convolution neural network that can extract both multi-scale features and temporal information from the signal. Subsequently, the followed SE block can reassign the weights of features through mapping and pooling. Experimental results exhibit that in a clinical dataset, the proposed method outperforms the state-of-the-art approaches, achieving an overall accuracy, F1-score, and Kappa coefficient of 71.8%, 71.8%, and 0.684 on a three-class classification task with a single channel EEG signal. Based on our overall results, we believe the proposed method could pave the way for convenient multi-scenario neonatal sleep staging methods.

Brain development in newborns and infants after ECMO.

BACKGROUND: Extracorporeal membrane oxygenation (ECMO) not only significantly improves survival rates in severely ill neonates but also is associated with long-term neurodevelopmental issues. To systematically review the available literature on the neurodevelopmental outcomes of neonates and infants who have undergone ECMO treatment, with a focus on motor deficits, cognitive impairments, sensory impairments, and developmental delays. This review aims to understand the incidence, prevalence, and risk factors for these problems and to explore current nursing care and management strategies. DATA SOURCES: A comprehensive literature search was performed across PubMed, EMBASE, and Web of Science using a wide array of keywords and phrases pertaining to ECMO, neonates, infants, and various facets of neurodevelopment. The initial screening involved reviewing titles and abstracts to exclude irrelevant articles, followed by a full-text assessment of potentially relevant literature. The quality of each study was evaluated based on its research methodology and statistical analysis. Moreover, citation searches were conducted to identify potentially overlooked studies. Although the focus was primarily on neonatal ECMO, studies involving children and adults were also included due to the limited availability of neonate-specific literature. RESULTS: About 50% of neonates post-ECMO treatment exhibit varying degrees of brain injury, particularly in the frontal and temporoparietal white matter regions, often accompanied by neurological complications. Seizures occur in 18%-23% of neonates within the first 24 hours, and bleeding events occur in 27%-60% of ECMO procedures, with up to 33% potentially experiencing ischemic strokes. Although some studies suggest that ECMO may negatively impact hearing and visual development, other studies have found no significant differences; hence, the influence of ECMO remains unclear. In terms of cognitive, language, and intellectual development, ECMO treatment may be associated with potential developmental delays, including lower composite scores in cognitive and motor functions, as well as potential language and learning difficulties. These studies emphasize the importance of early detection and intervention of potential developmental issues in ECMO survivors, possibly necessitating the implementation of a multidisciplinary follow-up plan that includes regular neuromotor and psychological evaluations. Overall, further multicenter, large-sample, long-term follow-up studies are needed to determine the impact of ECMO on these developmental aspects. CONCLUSIONS: The impact of ECMO on an infant's nervous system still requires further investigation with larger sample sizes for validation. Fine-tuned management, comprehensive nursing care, appropriate patient selection, proactive monitoring, nutritional support, and early rehabilitation may potentially contribute to improving the long-term outcomes for these infants.

Understanding endoscopic and clinicopathological features of patients with very early onset inflammatory bowel disease: Results from a decade of study.

BACKGROUND: Very early onset inflammatory bowel disease (VEOIBD) is associated with a unique disease course and distinct endoscopic features. AIMS: This study aims to provide a comprehensive description of the endoscopic and histologic features observed in a large cohort of patients with VEOIBD from a tertiary medical center. METHODS: A retrospective review of medical records from 2011 to 2021 was conducted to analyze clinical data, including disease phenotypes, endoscopic and histologic findings. Next generation sequencing was performed. RESULTS: A total of 225 VEOIBD subjects were included in this study. Monogenic defects were identified in 161 patients. Monogenic IBD patients more commonly had CD-like disease. Colonic involvement was more prevalent among those with monogenic IBD (P<0.001). Pseudo-polyps were significantly more common in the monogenic IBD group (P<0.001), while ileal edema and ulcers were significantly more prevalent in non-monogenic IBD cases. IL10RA deficiency were characterized by colonic ulcers and pseudo-polyps without upper gastrointestinal tract lesions, while patients with TNFAIP3 mutations demonstrated both upper and lower gastrointestinal tract involvement. The non-monogenic IBD patients showed a higher incidence of chronic architectural changes of crypt, increased apoptosis and eosinophils infiltration. CONCLUSIONS: Endoscopic and histologic analysis of children with VEOIBD plays a crucial role in facilitating accurate diagnosis. Various forms of monogenic IBD exhibit distinct endoscopic and pathologic changes.

Neurodevelopmental Outcomes Prediction in Newborns with Seizures Caused by KCNQ2 Gene Defects.

INTRODUCTION: Pathogenic variant in the KCNQ2 gene is a common genetic etiology of neonatal convulsion. However, it remains a question in KCNQ2-related disorders that who will develop into atypical developmental outcomes. METHODS: We established a prediction model for the neurodevelopmental outcomes of newborns with seizures caused by KCNQ2 gene defects based on the Gradient Boosting Machine (GBM) model with a training set obtained from the Human Gene Mutation Database (HGMD, public training dataset). The features used in the prediction model were, respectively, based on clinical features only and optimized features. The validation set was obtained from the China Neonatal Genomes Project (CNGP, internal validation dataset). RESULTS: With the HGMD training set, the prediction results showed that the area under the receiver-operating characteristic curve (AUC) for predicting atypical developmental outcomes was 0.723 when using clinical features only and was improved to 0.986 when using optimized features, respectively. In feature importance ranking, both variants pathogenicity and protein functional/structural features played an important role in the prediction model. For the CNGP validation set, the AUC was 0.596 when using clinical features only and was improved to 0.736 when using optimized features. CONCLUSION: In our study, functional/structural features and variant pathogenicity have higher feature importance compared with clinical information. This prediction model for the neurodevelopmental outcomes of newborns with seizures caused by KCNQ2 gene defects is a promising alternative that could prove to be valuable in clinical practice.

Febrile seizure in children with COVID-19 during the Omicron wave.

Objective: To explore the clinical characteristics and prognosis of febrile seizure in children with COVID-19. Methods: This study is a single-center retrospective cohort study. The cases included febrile seizures in children with COVID-19 admitted to the Renji Hospital from April 7th, 2022 to June 2nd, 2022. We compared children with and without febrile seizures in their clinical characteristics such as sex, age, symptoms, seizure manifestation, COVID-19 severity, and SARS-CoV-2 nucleic acid test results. The children with febrile seizures were followed up by telephone and outpatient service about one month after the nucleic acid turned negative and discharged from the hospital. Results: A total of 585 cases of children with COVID-19 were included in the analysis. There were 15 children (1.8%) with febrile seizures, age from six months to three years old, nine boys (60.0%) and six girls (40.0%). The manifestations of febrile seizures were all generalized tonic-clonic seizures. The median nucleic acid negative conversion time was 11 (IQR:10.75,13) days. Our first comparison involved comparing children without underlying diseases; there was no significant difference in sex, COVID-19 severity, and clinical manifestations, but there was an age difference (2 vs. 1.3, P = 0.047). There was no difference in SARS-CoV-2 nucleic acid negative time between the two groups (11d vs. 13d, P = 0.128). One child had new clinical manifestations during the follow-up, but his EEG and MRI were normal. Conclusion: Febrile seizure may be children's primary neurological manifestation of COVID-19. It may occur in children with no history of epilepsy and is not associated with severe illness. The long-term neurological outcomes of these children should be followed up.

[A case of interstitial lung and liver disease caused by MARS1 gene mutation]. / MARS1åŸºå› å˜å¼‚æ‰€è‡´é—´è´¨æ€§è‚ºç— åŠè‚ç— 1例.

The patient is a female infant, 4 months and 9 days old, who was admitted to the hospital due to recurrent fever, cough, and hepatomegaly for over a month. The patient was a healthy full-term infant with a normal birth history. At 2 months and 22 days after birth, she developed recurrent fever, cough, and respiratory distress. Chest imaging revealed diffuse bilateral lung lesions, and fiberoptic bronchoscopy showed interstitial changes in both lungs. These suggested the presence of interstitial lung disease. The patient also presented with hepatomegaly, anemia, hyperlipidemia, hypothyroidism, and malnutrition. Genetic testing indicated compound heterozygous variations in the MARS1 gene. This mutation can cause interstitial lung and liver disease, which is a severe rare disorder that typically manifests in infancy or early childhood. It is inherited in an autosomal recessive manner and characterized by early-onset respiratory insufficiency and liver disease in infants or young children. Since its first reported case in 2013, as of June 2023, only 38 related cases have been reported worldwide. This article reports the multidisciplinary diagnosis and treatment of interstitial lung and liver disease in an infant caused by MARS1 gene mutation.

Association between continuous glucose profile during therapeutic hypothermia and unfavorable outcome in neonates with hypoxic-ischemic encephalopathy209 23-32.

BACKGROUND: The detection and management of blood glucose abnormalities in high-risk neonates are crucial for clinical care. The objective of the study was to investigate the continuous glucose profile of hypoxic-ischemic encephalopathy (HIE) patients in the whole-process of therapeutic hypothermia (TH) and its association with clinical and neurological outcomes. METHOD: In this single-center retrospective study, HIE patients who received both TH and continuous glucose monitoring (CGM) were recruited from March 2016 to September 2021. RESULTS: Of 47 neonates recruited, 24 had unfavorable outcome. Dysglycemia was most prevalent in the first 24 h of TH, among which hyperglycemia occurred more frequently. CGM showed that the duration, episodes and area under curve (AUC) of hypoglycemia were statistically different in neonates with different outcomes. The occurrence, longer duration, greater AUC of hypoglycemia and an early high coefficient of variation (CV%, CV = SD/mean) were associated with unfavorable outcomes (aOR 26.55 [2.02-348.5], aOR 2.11 [1.08-4.14], aOR 1.80 [1.11-2.91] and aOR respectively), while hyperglycemia was not. CONCLUSION: During the whole process of TH, hypoglycemia and early unstable glycemic variability were strongly associated with unfavorable outcomes. CGM can instantly detect dysglycemia and facilitate precise glucose management in HIE neonates.

Genetic spectrums and clinical profiles of critically ill neonates with congenital auricular deformity in the China Neonatal Genomes Project.

Congenital auricular deformity (CAD) is a complex phenotype that may occur as a single malformation or part of a congenital syndrome. The genetic architecture and utility of next-generation sequencing (NGS) in a sizable cross-sectional study of critically ill neonates with CAD have not yet been systematically investigated. This cross-sectional study investigated the genetic spectrum in critically ill neonates with CADs. Critically ill neonates with CADs (n = 251) were enrolled between August 8, 2016 and October 1, 2022. All neonates underwent NGS. The outcomes were molecular diagnostic yield, spectrum of genetic events, and clinical findings. Genetic findings were obtained in 107 neonates (42.6%), of which 67.3% (72/107) had pathogenic/likely pathogenic/variants of uncertain significance (P/LP/VUS) gene variations and 32.7% (35/107) had P/LP/VUS copy number variations (CNVs). The diagnostic rates of clinical exome sequencing were similar to those of exome sequencing. The logistic regression model revealed that CAD neonates with craniofacial abnormalities (OR = 4.15, 95% CI 2.29-7.53) or cardiovascular malformation (OR = 2.09, 95% CI 1.14-3.84) are more likely to be attributed to genetic causes. Follow-up analysis revealed that, compared to those in the undiagnosed group, the number of neonates whose care was withdrawn or who died was higher in the genetically diagnosed group (P < 0.05). This study identified a high incidence of genetic causes in critically ill neonates with CADs, with a combination of single-nucleotide variations and CNVs among the genetic causes of CAD. These findings highlight potential of NGS in the genetic testing of critically ill neonates with CADs.

Genetic Spectrum of Congenital Anomalies of the Kidney and Urinary Tract in Chinese Newborn Genome Project.

Introduction: Congenital anomalies of the kidney and urinary tract (CAKUT) corresponds to a spectrum of defects. Several large-cohort studies have used high-throughput sequencing to investigate the genetic risk of CAKUT during antenatal, childhood, and adulthood period. However, our knowledge of newborns with CAKUT is limited. Methods: This multicenter retrospective cohort study explored the genetic spectrum of CAKUT in a Chinese neonatal cohort. Clinical data and whole exome sequencing (WES) data of 330 newborns clinically diagnosed with CAKUT were collected. WES data were analyzed for putative deleterious single nucleotide variants (SNVs) and potential disease-associated copy number variants (CNVs). Results: In this study, pathogenic variants were identified in 61 newborns (18.5%, 61/330), including 35 patients (57.4%) with SNVs, 25 patients (41%) with CNVs, and 1 patient with both an SNV and a CNV. Genetic diagnosis rates were significantly higher in patients with extrarenal manifestations (P＜0.001), especially in those with cardiovascular malformations (P＜0.05). SNVs in genes related to syndromic disorders (CAKUT with extrarenal manifestations) were common, affecting 20 patients (57.1%, 20/35). KMT2D was the most common gene (5 patients) and 17q12 deletion was the most common CNV (4 patients). Patient 110 was detected with both a CNV (17q12 deletion) and an SNV (a homozygous variant of SLC25A13). Among the newborns with positive genetic results, 22 (36.1%, 22/61) patients may benefit from a molecular diagnosis and change in clinical management (including early multidisciplinary treatment, disease-specific follow-up, and familial genetic counseling). Conclusion: This study shows the heterogeneous genetic etiologies in a Chinese CAKUT neonatal cohort by using WES. Patients with CAKUT who have extrarenal manifestations are more likely to harbor genetic diagnoses. Kabuki syndrome and 17q12 deletion syndrome were the most common genetic findings. Approximately 36.1% of the patients may benefit from molecular diagnoses and a change in clinical management.

Shift in the dominant sequence type of carbapenem-resistant Klebsiella pneumonia infection from ST278-NDM-1 to ST11-KPC-2 in neonatal patients in a children's hospital in Shanghai, China, 2017-2021.

OBJECTIVES: To investigate the clinical characteristics and molecular epidemiology of CRKP infection in neonatal patients in a children's hospital in China from 2017 to 2021. METHODS: Species identification and antibiotic susceptibilities were tested with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and VITEK 2 systems. The clinical data were collected from medical records. Carbapenem-resistant Klebsiella pneumoniae (CRKP) isolates were investigated by antimicrobial susceptibility testing, carbapenemase genes and multilocus sequence typing. RESULTS: Six kinds of resistant genes and 23 STs were detected. BlaNDM-1 (n=83, 55.3%) was the predominant carbapenemase gene, followed by blaKPC-2 (n=45, 30.0%), blaNDM-5 (n=7, 4.7%), blaIMP-38 (n=6, 4.0%). BlaNDM-1 was predominant in 2017 and 2018, whereas blaKPC-2 increased in 2019 and became the predominant gene from 2020 to 2021. ST11 accounted for most infections (n=35, 23.3%), followed by ST278 (n=23, 15.3%), ST17 (n=17, 11. 3%) and ST2735 (n=16, 10.7%). ST278 and ST17 were predominant in 2017 and 2018, whereas ST11 increased in 2019 and became the predominant sequence type from 2020 to 2021. Compared with blaNDM-1, the CRKP strains producing blaKPC-2 were characterized by high resistance to gentamicin, amikacin and levofloxacin and the change trend of drug resistance rate before and after COVID-19 was consistent with that of blaNDM-1 and blaKPC-2. CONCLUSIONS: The main sequence type of CRKP infection changed dynamically from ST278-NDM-1 to ST11-KPC-2 during the years 2017-2021 in the newborns. Antibiotic exposure and the prevalence of COVID-19 since 2020 may have led to changes in hospital population and lead to the changes.

Safety and efficacy of therapeutic hypothermia in neonates with mild hypoxic-ischemic encephalopathy.

BACKGROUND: Though there has been an increase in the number of neonates with hypoxic-ischemic encephalopathy (HIE) treated by therapeutic hypothermia (TH) in recent years, the effect of therapeutic hypothermia on mild HIE neonates is still uncertain. OBJECTIVES: This study aims to explore the safety and efficacy of therapeutic hypothermia in neonates with mild HIE. METHODS: Retrospectively collected between January 2010 to December 2022 at Children's Hospital of Fudan University, neonates with mild HIE were divided into TH and non-TH groups. Clinical data of the mild HIE neonates and their mothers' general information during pregnancy were collected. SPSS 23.0 was used to compare the general condition, the incidence of adverse events, and efficacy in the two groups. RESULTS: A total of 71 neonates with mild HIE were included, including 31 in the TH group and 40 in the non-TH group. Compared with the non-TH group, the TH group had significantly lower 5-minute Apgar scores [6 (5-7) points vs. 7 (5-8) points, p = 0.033 ], but a higher rate of tracheal intubation at birth (68%, 21/31 vs. 40%, 16/40, p = 0.02), a higher rate of chest compressions > 30 s (39%, 12/31 vs. 15%, 6/40, p = 0.023), the later initiation enteral feeding [4 (3-4) days vs. 1 (1-2) days, p < 0.001], a higher usage rate of analgesic and sedative drugs (45%, 14/31 vs. 18%, 7/40, p = 0.011) and the longer hospital stay [12.5 (11-14) days vs. 9 (7-13.9) days, p = 0.003]. There was no death in 71 mild HIE neonates. TH group had lower incidence of brain injury (16%, 5/31 vs. 43%, 17/40, p = 0.017) and encephalopathy progression (10%, 3/31 vs. 45%, 18/40, p = 0.001) than the non-TH group. There was no statistical significance in the incidence of adverse events between the two groups. CONCLUSION: Therapeutic hypothermia can reduce the incidence of brain injury in neonates with mild HIE.

Progress in the treatment of neonatal hypoxic-ischemic encephalopathy with umbilical cord blood mononuclear cells.

Neonatal hypoxic-ischemic encephalopathy (HIE) is a common disease among newborns, which is a leading cause of neonatal death and permanent neurological sequelae. Therapeutic hypothermia (TH) is the only method for the treatment of HIE that has been recognized effective clinically at home and abroad, but the efficacy is limited. Recent research suggests that the cord blood-derived mononuclear cells (CB-MNCs), which the refer to blood cells containing one nucleus in the cord blood, exert anti-oxidative, anti-inflammatory, anti-apoptotic effects and play a neuroprotective role in HIE. This review focuses on safety and efficacy, the route of administration, dose, timing and combination treatment of CB-MNCs in HIE.

[A rare case of neonatal-onset hepatic sinusoidal obstruction syndrome]. / æ–°ç”Ÿå„¿æœŸèµ·ç— çš„ç½•è§è‚çª¦é˜»å¡žç»¼åˆå¾1例.

A male infant, aged 1 month and 14 days, was admitted to the hospital due to abdominal distension lasting for 2 weeks and worsening for 3 days. The infant had a history of omphalitis. Physical examination revealed severe abdominal distension, prominent abdominal wall veins, hepatosplenomegaly, and massive ascites. There was a slight elevation in liver transaminase levels. Liver ultrasound and CT scans demonstrated the absence of visualization of the intrahepatic segment of the portal vein and the left, middle, and right veins of the liver, indicating occlusion of these vessels, along with surrounding fibrous hyperplasia. The clinical diagnosis was hepatic sinusoidal obstruction syndrome resulting from omphalitis. A large amount of bloody ascites developed after 12 days of hospitalization, resulting in hypovolemic shock and respiratory failure. The infant passed away following the family's decision to discontinue treatment. This article focuses on the diagnostic approach and multidisciplinary management of neonatal-onset hepatic sinusoidal obstruction syndrome, as well as provides insights into the differential diagnosis of hepatomegaly and ascites.

Estimating the individual singleton preterm birth risk: nomogram establishment and independent validation.

Background: To establish and independently validate nomograms for predicting singleton preterm birth (PTB) risk based on a large sample size comprising data from two independent datasets. Methods: This cohort study used data from 50 states and the District of Columbia in the National Vital Statistics System (NVSS) database between January 2016 and December 2020. Multivariate logistic regression analysis was used to confirm the independent risk factors for PTB. Statistically significant variables were incorporated into the logistic regression models to establish PTB prediction nomograms. The models were developed using the United States (US)-derived data and were independently validated using data from US Territories. Results: A total of 16,294,529 mother-newborn pairs from the US were included in the training set, and 54,708 mother-newborn pairs from the US Territories were included in the validation set. In all, 4 nomograms were built: 1 to predict PTB probability, and another 3 to predict moderately and late PTB probability, very PTB probability, and extremely PTB probability, respectively. Hypertensive eclampsia and infertility treatment were found to be the top 2 contributors to PTB. Conclusions: We developed and validated nomograms to predict the individualized probability of PTB, which could be useful to physicians for improved early identification of PTB and in making individualized clinical decisions.

Incidence of Neonatal Seizures in China Based on Electroencephalogram Monitoring in Neonatal Neurocritical Care Units.

Importance: Neonatal seizures pose a significant challenge in critical care, and continuous video electroencephalography (cEEG) monitoring holds promise for early detection of seizures. However, large-scale data on the incidence of neonatal seizures and monitoring systems in China are lacking. Objectives: To determine the incidence of neonatal seizures in infants with high risk in China. Design, Setting, and Participants: A large, cross-sectional multicenter study was conducted from January 2017 to December 2018 in the neonatal intensive care units (NICUs) of 7 tertiary medical centers in China. Neonates with high risk were included, and cEEG monitoring was conducted. Data were collected between January 1, 2017, and January 31, 2020. The data were analyzed between January 2021 and January 2022. Main Outcomes and Measures: The incidence of neonatal seizures, categorized by etiology, and seizure burden. Results: A total of 20 310 neonates with high risk were included (10 495 [51.7%] male; mean [SD] postmenstrual age, 37.7 [3.7] weeks), and seizures were observed in 3423 infants (16.9%). The highest proportion of seizures was attributed to acute neonatal encephalopathy (1448 [42.3%]). The incidence of seizures decreased with postmenstrual age and birth weight, with the highest occurrence observed in neonates with postmenstrual age of less than 28 weeks (237 of 879 [27.0%]) or birth weight of less than 1.0 kg (269 of 914 [29.4%]). Preterm infants had a higher proportion of moderate and severe seizure burdens compared with full-term infants (moderate severity: 248 of 1199 [20.7%] vs 454 of 2224 [20.4%]), but no significant differences were observed in etiology. Seizure burden was highest with genetic syndromes (49 of 188 [26.1%]), central nervous system malformations (33 of 127 [26.0%]), and inborn errors of metabolism (27 of 113 [23.9%]). During hospitalization, 7.8% of neonates with seizures died (267 neonates), with 81.3% of these cases having a moderate or severe seizure burden (217 neonates). Mortality was generally higher in preterm vs full-term infants (98 of 1199 [8.2%] vs 169 of 2224 [7.6%]) and increased with the severity of seizure burden (217 of 267 neonates with moderate or severe burden [81.3%]). Conclusions and Relevance: This cross-sectional study of neonatal seizures underscores the substantial burden seizures pose to high-risk infants with brain injury in China, particularly those who are born prematurely or who have congenital conditions.

Genetic background and clinical characteristics of infantile hyperammonemia.

Background: This study was conducted to analyze the genetic spectrum and clinical characteristics of infantile hyperammonemia. Methods: Between January 2016 and June 2020, we retrospectively enrolled infantile hyperammonemia patients with definitive genetic diagnosis at the Children's Hospital of Fudan University. Based on the age of hyperammonemia onset, patients were grouped into neonatal and post-neonatal subgroups to compare their genetic and clinical features. Results: Collectively, 136 pathogenic or likely pathogenic variants of the 33 genes were identified. Fourteen genes were reported with hyperammonemia (42%, 14/33), with SLC25A13 and MUT being the top two detected genes. In contrast, 19 genes, which have not been previously reported with hyperammonemia, were detected (58%, 19/33), in which JAG1 and ABCC8 were the most frequently mutated genes. Compared with post-neonatal hyperammonemia, neonatal patients with hyperammonemia presented with higher rates of organic acidemia (P=0.001) and fatty acid oxidation disorder (P=0.006), but a lower rate of cholestasis (P<0.001). Patients with neonatal hyperammonemia had a higher ratio of peak plasma ammonia level ≥500 µmol/L (P=0.003) and were more likely to receive precision medicine (P=0.027); however, they had a refractory clinical course (P=0.001) and poorer prognosis than the infantile group. Conclusions: There were significant differences in the genetic spectrum, clinical features, clinical course, and outcomes between infants with different hyperammonemia onset ages.

Risk stratification of hemodynamically significant patent ductus arteriosus by clinical and genetic factors.

BACKGROUND: Hemodynamically significant patent ductus arteriosus (hsPDA) is associated with increased comorbidities in neonates. Early evaluation of hsPDA risk is critical to implement individualized intervention. The aim of the study was to provide a powerful reference for the early identification of high-risk hsPDA population and early treatment decisions. METHODS: We enrolled infants who were diagnosed with PDA and performed exome sequencing. The collapsing analyses were used to find the risk gene set (RGS) of hsPDA for model construction. The credibility of RGS was proven by RNA sequencing. Multivariate logistic regression was performed to establish models combining clinical and genetic features. The models were evaluated by area under the receiver operating curve (AUC) and decision curve analysis (DCA). RESULTS: In this retrospective cohort study of 2199 PDA patients, 549 (25.0%) infants were diagnosed with hsPDA. The model [all clinical characteristics selected by least absolute shrinkage and selection operator regression (all CCs)] based on six clinical variables was acquired within three days of life, including gestational age (GA), respiratory distress syndrome (RDS), the lowest platelet count, invasive mechanical ventilation, and positive inotropic and vasoactive drugs. It has an AUC of 0.790 [95% confidence interval (CI) = 0.749-0.832], while the simplified model (basic clinical characteristic model) including GA and RDS has an AUC of 0.753 (95% CI = 0.706-0.799). There was a certain consistency between RGS and differentially expressed genes of the ductus arteriosus in mice. The AUC of the models was improved by RGS, and the improvement was significant (all CCs vs. all CCs + RGS: 0.790 vs. 0.817, P < 0.001). DCA demonstrated that all models were clinically useful. CONCLUSIONS: Models based on clinical factors were developed to accurately stratify the risk of hsPDA in the first three days of life. Genetic features might further improve the model performance. Video Abstract (MP4 86834 kb).

Neonatal Seizure Detection Using a Wearable Multi-Sensor System.

Neonatal seizure is an important clinical symptom of brain dysfunction, which is more common in infancy than in childhood. At present, video electroencephalogram (VEEG) technology is widely used in clinical practice. However, video electroencephalogram technology has several disadvantages. For example, the wires connecting the medical instruments may interfere with the infant's movement and the gel patch electrode or disk electrode commonly used to monitor EEG may cause skin allergies or even tears. For the above reasons, we developed a wearable multi-sensor platform for newborns to collect physiological and movement signals. In this study, we designed a second-generation multi-sensor platform and developed an automatic detection algorithm for neonatal seizures based on ECG, respiration and acceleration. Data for 38 neonates were recorded at the Children's Hospital of Fudan University in Shanghai. The total recording time was approximately 300 h. Four of the patients had seizures during data collection. The total recording time for the four patients was approximately 34 h, with 30 seizure episodes recorded. These data were evaluated by the algorithm. To evaluate the effectiveness of combining ECG, respiration and movement, we compared the performance of three types of seizure detectors. The first detector included features from ECG, respiration and acceleration records; the second detector incorporated features based on respiratory movement from respiration and acceleration records; and the third detector used only ECG-based features from ECG records. Our study illustrated that, compared with the detector utilizing individual modal features, multi-modal feature detectors could achieve favorable overall performance, reduce false alarm rates and give higher F-measures.