New predictive models and indices for screening MAFLD in school-aged overweight/obese children

Clinical Features and Plasma Metabolites Analysis in Obese Chinese Children With Nonalcoholic Fatty Liver Disease

Objective

This study aimed to investigate the clinical characteristics and plasma metabolites of nonalcoholic fatty liver disease (NAFLD) in obese Chinese children and to develop machine learning-based NAFLD diagnostic models.

Methods

We recruited 222 obese children aged 4 to 17 years and divided them into an obese control group and an obese NAFLD group based on liver ultrasonography. Mass spectrometry metabolomic analysis was used to measure 106 metabolites in plasma. Binary logistic regression was used to identify NAFLD-related clinical variables. NAFLD-specific metabolites were illustrated via volcano plots, cluster heatmaps, and metabolic network diagrams. Additionally, we applied 8 machine learning methods to construct 3 diagnostic models based on clinical variables, metabolites, and clinical variables combined with metabolites.

Results

By evaluating clinical variables and plasma metabolites, we identified 16 clinical variables and 14 plasma metabolites closely associated with NAFLD. We discovered that the level of 18:0 to 22:6 phosphatidylethanolamines was positively correlated with the levels of total cholesterol, triglyceride-glucose index, and triglyceride to high-density lipoprotein cholesterol ratio, whereas the level of glycocholic acid was positively correlated with the levels of alanine aminotransferase, gamma-glutamyl transferase, insulin, and the homeostasis model assessment of insulin resistance. Additionally, we successfully developed 3 NAFLD diagnostic models that showed excellent diagnostic performance (areas under the receiver operating characteristic curves of 0.917, 0.954, and 0.957, respectively).

Conclusions

We identified 16 clinical variables and 14 plasma metabolites associated with NAFLD in obese Chinese children. Diagnostic models using these features showed excellent performance, indicating their potential for diagnosis.

Potential alternative and novel biomarkers for paediatric MAFLD: exploratory evidence from a Chinese cohort

BACKGROUND

While the associations between pediatric non-obese metabolic dysfunction-associated fatty liver disease (MAFLD) and multiple diagnostic biomarkers are well-established, the role of a broader range of blood-based, urine-based, and body composition-based biomarkers for monitoring MAFLD are needed.

METHODS

A pediatric cohort was established in Wuxi, China. We measured body composition biomarkers, blood-based and urine-based biomarkers, and liver stiffness in participants to diagnose MAFLD and identify alternative and novel potential biomarkers for MAFLD. Body mass index (BMI), high-density lipoprotein cholesterol (HDLC), triglycerides, glucose, systolic blood pressure (SBP), diastolic blood pressure (DBP), and waist perimeter were used as MAFLD diagnostic biomarkers. To identify alternative biomarkers, we performed correlation analysis to determine biomarkers exhibited strong correlation (|r| > 0.8, p-value < 0.05) with diagnostic biomarkers. To identify novel potential biomarkers, we performed regression analysis to determine biomarkers associated with MAFLD (p-value < 0.05 in stepwise multivariate regression) among the remaining biomarkers that are not related to the diagnostic biomarkers.

RESULTS

Out of 1,108 participants who completed all examinations (N biomarker = 91), 113 participants were diagnosed with MAFLD (prevalence: 14.99% in boys and 5.18% in girls). 27 biomarkers that were strongly correlated with diagnostic biomarkers were identified as alternative biomarkers. A multivariate logistic regression analysis identified 9 novel potential biomarkers including 5 blood-based biomarkers (plateletocrit, calcium, insulin, AST/ALT ratio, total bilirubin), urine pH, and body fat measurements in the arm, leg, and thigh.

CONCLUSIONS

This study illustrated the characteristics and potential alternative and novel biomarkers of MAFLD based on a Chinese paediatric cohort. These findings posed new paths in guiding the prevention and early diagnosis and prevention.

TRIAL REGISTRATION

This trial was registered in the Chinese Clinical Trials Registry (ChiCTR2400080508). The date of first registration, 01/31/2024. Retrospectively registered.

A positive relationship between weight-adjusted waist index and non-alcoholic fatty liver disease: a study on US adolescents

Background

Non-alcoholic fatty liver disease (NAFLD) is the most prevalent chronic liver condition in children, underscoring the urgent need for non-invasive markers for early detection in this population.

Methods

We utilized survey data from the National Health and Nutrition Examination Survey (NHANES) 2017-2020 regarding liver ultrasound transient elastography (LUTE) for the diagnosis of NAFLD (dependent variable), and used multiple logistic regression models to explore the association between weight-adjusted waist circumference index (WWI) and the prevalence of NAFLD in US adolescents. Smoothing curves and threshold effect analyses were used to assess the non-linear association between the independent variables and the dependent variable. Subgroup analysis was conducted to pinpoint particularly susceptible subgroups within our study cohort of 1,711 participants.

Results

Our findings indicated a positive correlation between WWI and NAFLD scores. Adjusting for all covariates revealed a significant association between increased WWI and the presence of NAFLD, with an odds ratio of 3.37 (95% CI: 2.74, 4.15). This association proved stronger than those observed with waist circumference, body mass index, and NAFLD. Stratifying WWI into quartiles showed a clear and strong positive correlation (P for trend < 0.0001). The results of smoothing curves and threshold effect analysis showed a non-linear relationship between WWI and NAFLD (LLR < 0.001). Notably, for WWI values below 10.65, a significant correlation was observed (OR = 5.25, 95% CI: 3.77,7.31). Additionally, our subgroup analysis revealed that WWI and NAFLD were associated more positively among male participants aged 16 years and older.

Conclusion

WWI is positively correlated with NAFLD in American adolescents and offers a straightforward and cost-effective method for identifying hepatic steatosis. The findings highlight the importance of focusing on individuals with a WWI below 10.65, where the risk of NAFLD increases. Priority should be given to the male adolescent population aged 16 and above.

Protocol for a Longitudinal Cohort Study to Understand Characteristics and Risk Factors Underlying Vibration-Controlled Transient Elastography-Diagnosed Metabolic Dysfunction-Associated Fatty Liver Disease Children

Background

Metabolic-associated steatotic liver disease (MASLD) is a novel term proposed in 2023 to replace non-alcoholic fatty liver disease (NAFLD) with the aim of better reflecting its pathogenesis and clinical manifestations. Vibration-controlled transient elastography (VCTE) is an evidence-based, non-invasive imaging device used to evaluate liver fat deposition and fibrosis. It can effectively detect liver fat infiltration greater than 5%, which is much higher than the previous ultrasound detection rate (it is difficult to detect liver fat deposition below 30%). Nevertheless, the prevalence and characteristics of MASLD children diagnosed based on these updated criteria are currently not well established.

Methods

Currently, a prospective multi-center population-based cohort study is being conducted in Wuxi, China, spanning from 2023 to 2035, involving 5600 children from four primary schools. Throughout the study's baseline and follow-up periods, yearly physical examinations, laboratory tests, VCTE assessments, and bioelectrical impedance analysis are being conducted to measure MASLD-related biomarkers. Additionally, a questionnaire is being administered to inquire about dietary habits. MASLD is being diagnosed based on clinical and laboratory criteria, and the corresponding prevalence is being assessed.

Results

Recruitment began in March 13, 2023. To date, 1475 participants have completed the physical examination and questionnaire survey.

Discussion

Our study investigated the prevalence of MASLD and its influencing factors in Chinese school-age children and adolescents. By collecting and analyzing data from physical examinations and survey questionnaires, it may propose new avenues for guiding the treatment and early-stage prevention of MASLD in children.

Trial Registration

Chinese Clinical Trials Registry (NO. ChiCTR2400080508).

Isotemporal Substitution Effects of Daily Time Use on Cardiorespiratory Fitness of Children in the OptiChild Study: A Mediation Analysis with Diet Quality

(1) Background: Although daily time-use is associated with diet quality and cardiorespiratory fitness (CRF) in children, their interdependence remains unexplored. This study first examined the associations between reallocating daily movement time and diet quality and CRF, and second the mediating role of diet quality in the relationship between daily time-use and CRF. (2) Methods: This study included 1131 Chinese children (aged 8 to 10 years; median [interquartile range]: 8.5 [8.3, 8.8]) at baseline (September 2022) and 1268 children at the 9-month follow-up (June 2023) from the OptiChild study. Daily durations of moderate-to-vigorous physical activity (MVPA), sleep, and sedentary behavior (e.g., screen time) were self-reported or proxy-reported by parents. Diet quality was assessed via the Diet Quality Questionnaire (DQQ), which uses a 24 h dietary recall and is categorized according to the Global Dietary Recommendations (GDR) score and Food Group Diversity Score (FGDS). The CRF was measured using VO2max after the 20 m shuttle run test. Longitudinal associations between daily time-use, diet quality, and CRF were calculated using isotemporal substitution models. Mediation analyses were used to determine whether diet quality mediated the associations between daily time-use and CRF. (3) Results: Reallocation of 30 min from screen time to MVPA resulted in significant improvements in the GDR score (β baseline = 0.11, p = 0.024; β follow-up = 0.26, p < 0.001), FGDS (β baseline = 0.11, p = 0.006; β follow-up = 0.19, p < 0.001), and CRF (β baseline = 0.40, p < 0.001; β follow-up = 0.26, p = 0.001). Diet quality partially mediated the associations between MVPA, screen time, and CRF. Substituting 30 min of screen time for MVPA led to diet quality mediating a proportion of the association with CRF (GDR score: 11.4%, FGDS: 6.6%). (4) Conclusions: These findings underscore the importance of optimizing daily time-use of MVPA and screen time and improving diet quality to promote physical fitness in school-aged children.

Survey of physicians' knowledge about pediatric nonalcoholic fatty liver disease in China

OBJECTIVES

To evaluate physicians' awareness and knowledge towards pediatric nonalcoholic fatty liver disease (NAFLD) and their attitude toward change in nomenclature from NAFLD to metabolic dysfunction-associated fatty liver disease (MAFLD) or metabolic dysfunction-associated steatotic liver disease (MASLD) in China.

METHODS

The questionnaire survey contained five parts (characteristics of the participants, epidemiology, diagnosis, management of NAFLD, and attitudes toward the nomenclature of MAFLD/MASLD). The participants included 53 hepatologists, 88 gastroenterologists (GEs), 74 endocrinologists (ENDOs), 61 primary care physicians (PCPs), and 157 pediatricians across 31 municipalities, provinces and autonomous regions of China's mainland.

RESULTS

Hepatologists saw the largest number of pediatric NAFLD patients annually (median 9 [range 1-20]), with the lowest number by PCPs (even notwithstanding one patient annually). The primary sources of pediatric NAFLD knowledge were acquired via guidelines. Hepatologists had the highest total knowledge score among all five types of physicians. Approximately one-third of nonspecialists (ENDOs and PCPs) considered liver biopsy necessary for pediatric NAFLD patients, and this percentage increased to half in specialists (hepatologists and GEs). For nonspecialists, the major barriers to the management of pediatric NAFLD were poor patient adherence to lifestyle modifications and lacking confidence in managing NAFLD. Above 90% physicians agreed to change the nomenclature NAFLD to MAFLD; however, they were not sure whether it could reduce the economic burden.

CONCLUSIONS

Despite the epidemic of pediatric NAFLD in China, a significant knowledge gap remains in the identification, diagnosis, and treatment of pediatric NAFLD, particularly among frontline workers such as pediatricians and PCPs. More education programs should be carried out in the future.

Artificial intelligence in paediatric endocrinology: conflict or cooperation

Artificial intelligence (AI) in medicine is transforming healthcare by automating system tasks, assisting in diagnostics, predicting patient outcomes and personalising patient care, founded on the ability to analyse vast datasets. In paediatric endocrinology, AI has been developed for diabetes, for insulin dose adjustment, detection of hypoglycaemia and retinopathy screening; bone age assessment and thyroid nodule screening; the identification of growth disorders; the diagnosis of precocious puberty; and the use of facial recognition algorithms in conditions such as Cushing syndrome, acromegaly, congenital adrenal hyperplasia and Turner syndrome. AI can also predict those most at risk from childhood obesity by stratifying future interventions to modify lifestyle. AI will facilitate personalised healthcare by integrating data from 'omics' analysis, lifestyle tracking, medical history, laboratory and imaging, therapy response and treatment adherence from multiple sources. As data acquisition and processing becomes fundamental, data privacy and protecting children's health data is crucial. Minimising algorithmic bias generated by AI analysis for rare conditions seen in paediatric endocrinology is an important determinant of AI validity in clinical practice. AI cannot create the patient-doctor relationship or assess the wider holistic determinants of care. Children have individual needs and vulnerabilities and are considered in the context of family relationships and dynamics. Importantly, whilst AI provides value through augmenting efficiency and accuracy, it must not be used to replace clinical skills.