Bioelectrical impedance analysis parameters are superior to liver enzymes in predicting metabolic dysfunction-associated steatotic liver disease in young adults.
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| Title: | Bioelectrical impedance analysis parameters are superior to liver enzymes in predicting metabolic dysfunction-associated steatotic liver disease in young adults. |
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| Authors: | Song K; Department of Pediatrics, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea., Kwon YJ; Department of Family Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-Si, Republic of Korea., Lee E; Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea., Lee HS; Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea., Youn YH; Department of Healthcare Research Team, Health Promotion Center, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea., Baik SJ; Department of Healthcare Research Team, Health Promotion Center, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea., Lee H; Department of Pediatrics, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea., Kim JY; Department of Pediatrics, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea., Choi Y; Department of Pediatrics, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea., Chae HW; Department of Pediatrics, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea. hopechae@yuhs.ac. |
| Source: | Internal and emergency medicine [Intern Emerg Med] 2025 Apr; Vol. 20 (3), pp. 785-795. Date of Electronic Publication: 2025 Apr 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Italy NLM ID: 101263418 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1970-9366 (Electronic) Linking ISSN: 18280447 NLM ISO Abbreviation: Intern Emerg Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1970-9366 |
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| DOI: | 10.1007/s11739-025-03880-z |
