Time-dependent predictive accuracy of noninvasive liver scores for chronic kidney disease onset in metabolic dysfunction-associated steatotic liver disease

doi:10.4254/wjh.122926

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 18, Issue 7

This Article

(16)

(20)

(0)

(280)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Supplementary Materials of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Hepatology

ISSN

1948-5182

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Cohort Study

Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Hepatol. Jul 27, 2026; 18(7): 122926
Published online Jul 27, 2026. doi: 10.4254/wjh.122926

Table 1 Baseline characteristics of metabolic associated steatotic liver disease

Characteristics	Total (n = 922)	5-year CKD (n = 66)	Non-CKD (n = 856)	P value
Age (years)	54.5 (44.0, 62.0)	65.5 (57.0, 70.0)	54.0 (44.0, 61.0)	< 0.001
Male	447 (48.5)	32 (48.5)	415 (48.5)	1.000
BMI (kg/m²)	26.4 (24.0, 29.4)	26.6 (24.2, 30.0)	26.3 (24.0, 29.3)	0.374
Obesity	763 (82.8)	56 (84.9)	707 (82.6)	0.640
Hypertension	518 (57.2)	48 (72.7)	470 (56.0)	0.008
Diabetes	248 (31.3)	23 (37.1)	225 (30.8)	0.306
Dyslipidemia	509 (61.0)	38 (58.5)	471 (61.3)	0.658
eGFR (mL/minute/1.73 m²)	94.0 (82.1, 103.0)	69.0 (64.0, 77.0)	95.0 (85.0, 104.0)	< 0.001
AST (U/L)	29.0 (23.0, 39.0)	31.0 (24.0, 47.0)	29.0 (22.5, 39.0)	0.167
ALT (U/L)	34.0 (21.0, 53.0)	30.5 (21.0, 50.0)	35.0 (21.0, 53.0)	0.421
CAP (dB/m)	299.0 (275.0, 328.0)	308.5 (276.0, 336.0)	299.0 (275.0, 328.0)	0.488
LSM (kPa)	6.8 (5.1, 10.8)	10.1 (6.3, 14.3)	6.7 (5.0, 10.4)	< 0.001
NFS	-1.5 (-2.5, -0.5)	-0.4 (-1.2, 0.5)	-1.5 (-2.5, -0.6)	< 0.001
NFS group				< 0.001
Low	460 (49.9)	13 (19.7)	447 (52.2)
Intermediate	369 (40.0)	39 (59.1)	8.6)
High	93 (10.1)	14 (21.2)	79 (9.2)
FIB-4	1.2 (0.8, 1.8)	1.7 (1.2, 2.7)	1.1 (0.8, 1.7)	< 0.001
FIB-4 group				< 0.001
Low	531 (57.6)	17 (25.8)	514 (60.0)
Intermediate	276 (29.9)	34 (51.5)	242 (28.3)
High	115 (12.5)	15 (22.7)	100 (11.7)
ALBI	-3.0 (-3.2, -2.7)	-2.9 (-3.1, -2.6)	-3.0 (-3.2, -2.7)	0.006
ALBI grade				0.105
Grade 1	774 (84.0)	50 (75.8)	724 (84.6)
Grade 2	137 (14.9)	14 (21.2)	123 (14.4)
Grade 3	11 (1.1)	2 (3.0)	9 (1.0)

Data are presented as n (%) or median (interquartile range). P value by Pearson’s χ² test or Mann-Whitney U test. Significant level at P < 0.05. CKD: Chronic kidney disease; ALT: Alanine aminotransferase; ALBI: Albumin-Bilirubin; AST: Aspartate aminotransferase; BMI: Body Mass Index; CAP: Controlled Attenuation Parameter; eGFR: Estimated glomerular filtration rate; FIB-4: Fibrosis-4; LSM: Liver stiffness measurement; NFS: Non-alcoholic fatty liver disease fibrosis score.

Full Size Table

Citation: Navadurong H, Teerawongsakul P, Trakarnvanich T, Ruamtawee W, Treerasoradaj N, Sethasine S. Time-dependent predictive accuracy of noninvasive liver scores for chronic kidney disease onset in metabolic dysfunction-associated steatotic liver disease. World J Hepatol 2026; 18(7): 122926
URL: https://www.wjgnet.com/1948-5182/full/v18/i7/122926.htm
DOI: https://dx.doi.org/10.4254/wjh.122926

Navadurong H, Teerawongsakul P, Trakarnvanich T, Ruamtawee W, Treerasoradaj N, Sethasine S. Time-dependent predictive accuracy of noninvasive liver scores for chronic kidney disease onset in metabolic dysfunction-associated steatotic liver disease. World J Hepatol 2026; 18(7): 122926 [DOI: 10.4254/wjh.122926]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.