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Identification of pediatric MASLD using insulin resistance indices

Authors
 Kyungchul Song  ;  Eunju Lee  ;  Hye Sun Lee  ;  Young Hoon Youn  ;  Su Jung Baik  ;  Hyun Joo Shin  ;  Hyun Wook Chae  ;  Ji-Won Lee  ;  Yu-Jin Kwon 
Citation
 JHEP REPORTS, Vol.7(7) : 101419, 2025-07 
Journal Title
JHEP REPORTS
Issue Date
2025-07
Keywords
Adolescent ; Biomarkers ; Child ; Insulin resistance ; Metabolic dysfunction-associated steatotic liver disease
Abstract
Background & aims: We investigated the triglyceride-to-high density lipoprotein (HDL) ratio (TG/HDL), triglyceride-glucose index (TyG), single-point insulin sensitivity estimator (SPISE), and metabolic score for insulin resistance (METS-IR) as potential predictors of pediatric metabolic dysfunction-associated steatotic liver disease (MASLD) by addressing the limited research on insulin-resistance markers in this population.

Methods: This cross-sectional study included data from 1,150 and 260 youths from the National Health and Nutrition Examination Survey (NHANES) and a real-world clinic, respectively. Hepatic steatosis was assessed using transient elastography and abdominal sonography. Logistic regression analysis was performed using MASLD as the dependent variable. Receiver operating characteristic (ROC) curves were used to evaluate predictability.

Results: The MASLD group had higher TG/HDL, TyG, METS-IR, and obesity proportions but lower SPISE than the normal group in both NHANES and real-world data. All markers were significantly related to MASLD in logistic regression analyses, even after adjusting for age and sex, in both the NHANES and real-world clinic data (all p <0.001). The areas under the ROC curves (AUCs) for SPISE and METS-IR were 0.91 and 0.91 in the total group, 0.92 and 0.92 in the male group, and 0.90 and 0.89 in the female group, respectively-all higher than those for TG/HDL and TyG in the NHANES dataset (all p <0.001). In the real-world clinical data, the AUCs of SPISE and METS-IR were significantly higher than those of TG/HDL and TyG in the total and male groups (all p <0.001). In the female group, the AUC for SPISE was significantly higher than that for TG/HDL or TyG.

Conclusions: METS-IR and SPISE are effective, non-invasive markers for predicting pediatric MASLD, which offer valuable tools for early detection and improved clinical management.

Impact and implications: The increasing prevalence of pediatric metabolic dysfunction-associated steatotic liver disease (MASLD) and its strong association with cardiometabolic risk factors underscore the need for effective early detection tools. Our study demonstrates that single-point insulin sensitivity estimator (SPISE) and metabolic score for insulin resistance (METS-IR) are superior, non-invasive markers for predicting MASLD in children and adolescents, with validated cut-off values applicable to both population-based and real-world clinical settings. These findings are particularly relevant for clinicians and healthcare policymakers, as they provide practical, easily accessible screening tools derived from routine laboratory tests, aiding in the early identification and risk stratification of pediatric MASLD. However, given the study's retrospective design and variations in diagnostic methods across datasets, further validation in larger, diverse cohorts is warranted to refine age-specific cut-off values and optimize screening approaches.
Files in This Item:
T202503710.pdf Download
DOI
10.1016/j.jhepr.2025.101419
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Family Medicine (가정의학교실) > 1. Journal Papers
7. Others (기타) > Gangnam Severance Hospital Health Promotion Center(강남세브란스병원 체크업) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pediatrics (소아과학교실) > 1. Journal Papers
Yonsei Authors
Kwon, Yu-Jin(권유진) ORCID logo https://orcid.org/0000-0002-9021-3856
Baik, Su Jung(백수정) ORCID logo https://orcid.org/0000-0002-3790-7701
Song, Kyungchul(송경철) ORCID logo https://orcid.org/0000-0002-8497-5934
Shin, Hyun Joo(신현주) ORCID logo https://orcid.org/0000-0002-7462-2609
Youn, Young Hoon(윤영훈) ORCID logo https://orcid.org/0000-0002-0071-229X
Lee, Ji Won(이지원) ORCID logo https://orcid.org/0000-0002-2666-4249
Lee, Hye Sun(이혜선) ORCID logo https://orcid.org/0000-0001-6328-6948
Chae, Hyun Wook(채현욱) ORCID logo https://orcid.org/0000-0001-5016-8539
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/206236
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