Evidence map›Paper›PMID 42558337›Full record

ArticleFrontiers in endocrinology2026

Optimal cutoff values of alanine aminotransferase and its derived markers for pediatric MASLD.

Joon Young Kim, Eunju Lee, Hye Sun Lee, Young Hoon Youn, Su Jung Baik, Hyun Joo Shin, Yu-Jin Kwon, Eun Byoul Lee, Hyun Wook Chae, Kyungchul Song

Abstract read
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Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Joon Young KimGangnam Severance Hospital, Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea.
Eunju LeeBiostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hye Sun LeeBiostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea.
Young Hoon YounGangnam Severance Hospital, Health Promotion Center, Healthcare Research Team, Yonsei University College of Medicine, Seoul, Republic of Korea.
Su Jung BaikGangnam Severance Hospital, Health Promotion Center, Healthcare Research Team, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hyun Joo ShinYongin Severance Hospital, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Department of Radiology, Yonsei University College of Medicine, Yongin-si, Republic of Korea.
Yu-Jin KwonYongin Severance Hospital, Department of Family Medicine, Yonsei University College of Medicine, Yongin-si, Republic of Korea.
Eun Byoul LeeYongin Severance Hospital, Department of Pediatrics, Yonsei University College of Medicine, Yongin-si, Republic of Korea.
Hyun Wook ChaeGangnam Severance Hospital, Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea.
Kyungchul SongGangnam Severance Hospital, Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The early detection of metabolic dysfunction-associated steatotic liver disease (MASLD) is essential. This study aims to evaluate the diagnostic utility and optimal cutoffs of alanine aminotransferase (ALT) and its derived markers, including the ALT/aspartate aminotransferase (AST) and ALT/high-density lipoprotein cholesterol (HDL) ratios, for predicting pediatric MASLD. Methods: We analyzed data from 1,158 adolescents in the National Health and Nutritional Examination Survey (NHANES) and 263 adolescents from a real-world clinical cohort. MASLD was assessed using vibration-controlled transient elastography in the NHANES cohort and abdominal ultrasonography in the clinical cohort. Logistic regression and receiver operating characteristic (ROC) curve analyses were conducted to evaluate associations and predictive performance. Results: ALT, ALT/AST, and ALT/HDL were significantly associated with MASLD in both datasets, even after adjusting for age and sex (all p < 0.001). In the NHANES cohort, the areas under the ROC curves (AUCs) for ALT, ALT/AST, and ALT/HDL were 0.73, 0.77, and 0.76, respectively, with optimal cutoff values of >14.50 for ALT, >0.74 for ALT/AST, and >0.29 for ALT/HDL in the total population. In the real-world clinical cohort, the corresponding AUCs were 0.84, 0.84, and 0.86, respectively. ALT/HDL demonstrated the highest AUC in both datasets, reaching 0.92 in females in the clinical cohort. Conclusions: ALT and ALT-derived markers are valuable for predicting pediatric MASLD. Among them, the ALT/HDL ratio demonstrated the best predictive performance, indicating that composite indices integrating markers of hepatic injury and metabolic status may enhance early detection of MASLD in children and adolescents.

Indexed as

Alanine TransaminaseBiomarkersFatty LiverAdolescentAspartate AminotransferasesChildFemaleHumansMaleNutrition SurveysROC CurveAlanine TransaminaseAspartate AminotransferasesBiomarkersadolescentbiomarkerschildearly diagnosisfatty liverliver function tests

Identifiers

PMID42558337
PMCPMC13437452

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.