Risk of acute kidney injury following contrast-enhanced CT or MRI in a cohort of 3061 hospitalized children in China.

OBJECTIVES: To compare the risk of acute kidney injury (AKI) between hospitalized children who received intravenous contrast media for imaging examinations and those who did not. METHODS: This retrospective cohort study enrolled patients aged 0-18 years with serum creatinine levels before and after imaging examinations from 2015 to 2020 at Beijing Children's Hospital. Participants were classified into an exposure group or a control group. Log-binomial regression analysis was used to estimate the adjusted risk ratio (aRR) value for the association between exposure to contrast media and consequential AKI. After which, inverse probability treatment weighting was used to reduce systematic differences in baseline characteristics among the groups. Moreover, subgroup and sensitivity analyses were performed. Finally, multivariate logistic regression analysis was performed to identify risk factors for pediatric AKI. RESULTS: In total, 3061 pediatric patients were included in the analyses (median age, 4.5 [IQR, 1.3-8.9] years, 1760 males). According the KDIGO definition of AKI, the incidence of AKI in the exposure group, and the control group were 7.4% and 6.5%, respectively; furthermore, the aRR was 1.35 (95% CI: 1.31-1.39). In patients underwent CT, the risk of AKI in the exposure group of contrast media increased compared with the control group and the aRR was 1.39 (95% CI: 1.09-1.78). However, it is not observed in patients underwent MRI (aRR: 1.36; 95% CI: 0.96-1.95). According to our subgroup analysis of pediatric patients aged ≥ 2 years (aRR: 1.38; 95% CI: 1.05-1.82) and sensitivity analysis (aRR: 1.32, 95% CI: 1.08-1.61), the risk of AKI in the exposure group was greater than that in the control group. An increased risk to exposure to contrast media was seen in females (aRR: 1.41, 95% CI: 1.05-1.89) rather than males (aRR: 1.30, 95% CI: 0.99-1.70). According to the multivariate logistic regression analyses, the baseline eGFR (OR: 1.02; 95% CI: 1.01-1.03) and comorbidities (OR: 2.97; 95% CI: 1.89-4.65) were risk factors, while age (OR: 0.87; 95% CI: 0.84-0.91) was a protective factor against AKI. CONCLUSION: The evidence from the present study suggested that the increased risk of AKI in hospitalized children induced by intravascular contrast should not be ignored.

Preconception underweight and the risk of offspring congenital heart diseases in young pregnant women: Evidence from the China Birth Cohort Study.

OBJECTIVE: Maternal obesity is a highly suggestive risk factor of offspring congenital heart diseases (CHD). However, the risk of offspring CHD associated with maternal underweight has rarely been mentioned. Therefore, this study aimed to explore the effect of preconception underweight on offspring CHD. METHODS: From November 2017 to August 2021, 132 386 pregnant women were enrolled in a birth cohort study in China in early pregnancy, and completed follow-up until delivery (or miscarriage/termination). Offspring CHD was diagnosed by prenatal ultrasound examination in both live births and stillbirths. Log-binomial regression and restricted cubic spline were used to estimate the risk of offspring CHD associated with preconception body mass index (BMI). A generalized additive model was used to explore the modification effect of maternal age on the association between preconception BMI and offspring CHD. RESULTS: A total of 129 096 pregnant women were included in the analysis. The incidence of CHD in the underweight, normal weight, overweight, and obesity groups were 117/17 313 (0.68%), 556/85 695 (0.65%), 128/19 936 (0.64%), 47/6152 (0.76%), respectively. Both underweight and obesity before pregnancy marginally increased the risk of offspring CHD. The association between preconception BMI and offspring CHD varied by maternal age, with low preconception BMI associated with a significantly higher risk of offspring CHD in women <24 years (RR 2.32, 95% CI: 1.07-5.01 for 17 vs 21 kg/m2). CONCLUSION: Preconception underweight was associated with an increased risk of offspring CHD in young pregnant women. Therefore, weight gain is important to prevent offspring CHD, especially for young women with low preconception BMI.

CELF2 Deficiency Demonstrates Autism-Like Behaviors and Interferes with Late Development of Cortical Neurons in Mice.

CELF2 variants have been linked to neurodevelopmental disorders (NDD), including autism spectrum disorder (ASD). However, the molecular mechanisms remain unclear. We generated Celf2 Nestin-Cre knockout mice.Our findings revealed that Celf2 Nestin-Cre heterozygous knockout mice exhibited social impairment and anxiety, an autism-like behavior, though no manifestations of repetitive stereotyped behavior, learning cognitive impairment, or depression were observed. Immunofluorescence assay showed an underdeveloped cerebral cortex with significantly reduced cortical thickness, albeit without abnormal cell density. Further in vitro neuronal culture demonstrated a significant reduction in dendritic spine density and affected synaptic maturation in Celf2 deficient mice, with no notable abnormalities in total neurite and axon length. RNA-seq and RIP-seq analysis of the cerebral cortex revealed differentially expressed genes post Celf2 gene knockout compared with the control group. Enrichment analysis highlighted significant enrichment in dendrite and synapse-related biological processes and pathways. Our study delineated the behavioral and neurodevelopmental phenotypes of Celf2, suggesting its potential involvement in autism through the regulation of target genes associated with dendritic spines and synapse development. Further research is needed to elucidate the specific mechanisms involved.

Indirect estimation of pediatric reference interval via density graph deep embedded clustering.

Establishing reference intervals (RIs) for pediatric patients is crucial in clinical decision-making, and there is a critical gap of pediatric RIs in China. However, the direct sampling technique for establishing RIs is resource-intensive and ethically challenging. Indirect estimation methods, such as unsupervised clustering algorithms, have emerged as potential alternatives for predicting reference intervals. This study introduces deep graph clustering methods into indirect estimation of pediatric reference intervals. Specifically, we propose a Density Graph Deep Embedded Clustering (DGDEC) algorithm, which incorporates a density feature extractor to enhance sample representation and provides additional perspectives for distinguishing different levels of health status among populations. Additionally, we construct an adjacency matrix by computing the similarity between samples after feature enhancement. The DGDEC algorithm leverages the adjacency matrix to capture the interrelationships between patients and divides patients into different groups, thereby estimating reference intervals for the potential healthy population. The experimental results demonstrate that when compared to other indirect estimation techniques, our method ensures the predicted pediatric reference intervals in different age and gender groups are closer to the true values while maintaining good generalization performance. Additionally, through ablation experiments, our study confirms that the similarity between patients and the multi-scale density features of samples can effectively describe the potential health status of patients.

Mediating Effect of Tobacco Dependence on the Association Between Maternal Smoking During Pregnancy and Chronic Obstructive Pulmonary Disease: Case-Control Study.

BACKGROUND: Maternal smoking during pregnancy (MSDP) is a known risk factor for offspring developing chronic obstructive pulmonary disease (COPD), but the underlying mechanism remains unclear. OBJECTIVE: This study aimed to explore whether the increased COPD risk associated with MSDP could be attributed to tobacco dependence (TD). METHODS: This case-control study used data from the nationwide cross-sectional China Pulmonary Health study, with controls matched for age, sex, and smoking status. TD was defined as smoking within 30 minutes of waking, and the severity of TD was assessed using the Fagerstrom Test for Nicotine Dependence. COPD was diagnosed when the ratio of forced expiratory volume in 1 second to forced vital capacity was <0.7 in a postbronchodilator pulmonary function test according to the 2017 Global Initiative for Chronic Obstructive Lung Disease criteria. Logistic regression was used to examine the correlation between MSDP and COPD, adjusting for age, sex, BMI, educational attainment, place of residence, ethnic background, occupation, childhood passive smoking, residential fine particulate matter, history of childhood pneumonia or bronchitis, average annual household income, and medical history (coronary heart disease, hypertension, and diabetes). Mediation analysis examined TD as a potential mediator in the link between MSDP and COPD risk. The significance of the indirect effect was assessed through 1000 iterations of the "bootstrap" method. RESULTS: The study included 5943 participants (2991 with COPD and 2952 controls). Mothers of the COPD group had higher pregnancy smoking rates (COPD: n=305, 10.20%; controls: n=211, 7.10%; P<.001). TD was more prevalent in the COPD group (COPD: n=582, 40.40%; controls: n=478, 33.90%; P<.001). After adjusting for covariates, MSDP had a significant effect on COPD (ß=.097; P<.001). There was an association between MSDP and TD (ß=.074; P<.001) as well as between TD and COPD (ß=.048; P=.007). Mediation analysis of TD in the MSDP-COPD association showed significant direct and indirect effects (direct: ß=.094; P<.001 and indirect: ß=.004; P=.03). The indirect effect remains present in the smoking population (direct: ß=.120; P<.001 and indirect: ß=.002; P=.03). CONCLUSIONS: This study highlighted the potential association between MSDP and the risk of COPD in offspring, revealing the mediating role of TD in this association. These findings contribute to a deeper understanding of the impact of prenatal tobacco exposure on lung health, laying the groundwork for the development of relevant prevention and treatment strategies.