Serum fibroblast growth factor 23 and kidney injury molecule-1 in the prediction of acute kidney injury in critically-ill patients

This study aimed to evaluate the value of serum intact fibroblast growth factor 23 (iFGF23), C-terminal FGF23 (cFGF23), and kidney injury molecule-1 (KIM-1) in predicting acute kidney injury (AKI) onset, severity, and renal function recovery in critically ill patients. A prospective cohort of 96 adults admitted to the intensive care unit (ICU) was analyzed. Patients were stratified into AKI (<i>n</i> = 51) and non-AKI (<i>n</i> = 45) groups based on KDIGO criteria. Serum iFGF23, cFGF23, and KIM-1 levels were measured at ICU admission. All three biomarkers were significantly elevated in AKI group compared to non-AKI group (all <i>p</i> < 0.01). Receiver operating characteristic (ROC) analysis showed that KIM-1 had the highest accuracy with an area under the curve (AUC) of 0.924 [95% confidence interval (CI) 0.866-0.983], followed by cFGF23 with an AUC of 0.779 (95% CI 0.676-0.881) and iFGF23 with an AUC of 0.672 (95% CI 0.554-0.789). Both iFGF23 (AUC 0.793, 95% CI 0.650-0.935) and cFGF23 (AUC 0.746, 95% CI 0.593-0.899) effectively predicted severe AKI (stages 2-3, <i>n</i> = 25). In contrast, KIM-1 showed no discriminative capacity (<i>p</i> > 0.05). ROC analysis indicated that none of the three biomarkers could predict renal function recovery (<i>p</i> > 0.05). Notably, KIM-1 may serve as a highly accurate marker for early AKI diagnosis, whereas serum FGF23 appears more promising for evaluating AKI severity. These complementary roles highlight the potential value of combining biomarkers to improve risk stratification in critically ill patients.

Authors

Institutions

Publication Details

Journal
Renal Failure
Published
2025-10-28
DOI
https://doi.org/10.1080/0886022x.2025.2575918
Citations
1
Primary Topic
Parathyroid Disorders and Treatments
Type
article
Field-Weighted Citation Impact
1.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Serum fibroblast growth factor 23 and kidney injury molecule-1 in the prediction of acute kidney injury in critically-ill patients

Fengmin Shao, Huixia Cao, Limeng Wang, Lina Zhang et al.
1 citations
Renal Failure
Parathyroid Disorders and Treatments
1.43
article

Serum fibroblast growth factor 23 and kidney injury molecule-1 in the prediction of acute kidney injury in critically-ill patients

Fengmin Shao, Huixia Cao, Limeng Wang, Lina Zhang, Ning Wang, Lei Yan, B.P. Yan, Xiaohang Pei
article en
1 citations

Abstract

This study aimed to evaluate the value of serum intact fibroblast growth factor 23 (iFGF23), C-terminal FGF23 (cFGF23), and kidney injury molecule-1 (KIM-1) in predicting acute kidney injury (AKI) onset, severity, and renal function recovery in critically ill patients. A prospective cohort of 96 adults admitted to the intensive care unit (ICU) was analyzed. Patients were stratified into AKI (<i>n</i> = 51) and non-AKI (<i>n</i> = 45) groups based on KDIGO criteria. Serum iFGF23, cFGF23, and KIM-1 levels were measured at ICU admission. All three biomarkers were significantly elevated in AKI group compared to non-AKI group (all <i>p</i> < 0.01). Receiver operating characteristic (ROC) analysis showed that KIM-1 had the highest accuracy with an area under the curve (AUC) of 0.924 [95% confidence interval (CI) 0.866-0.983], followed by cFGF23 with an AUC of 0.779 (95% CI 0.676-0.881) and iFGF23 with an AUC of 0.672 (95% CI 0.554-0.789). Both iFGF23 (AUC 0.793, 95% CI 0.650-0.935) and cFGF23 (AUC 0.746, 95% CI 0.593-0.899) effectively predicted severe AKI (stages 2-3, <i>n</i> = 25). In contrast, KIM-1 showed no discriminative capacity (<i>p</i> > 0.05). ROC analysis indicated that none of the three biomarkers could predict renal function recovery (<i>p</i> > 0.05). Notably, KIM-1 may serve as a highly accurate marker for early AKI diagnosis, whereas serum FGF23 appears more promising for evaluating AKI severity. These complementary roles highlight the potential value of combining biomarkers to improve risk stratification in critically ill patients.

Renal FailureVol. 47(1)
Zhengzhou University (CN), Henan Provincial People's Hospital (CN)
Openalex Percentile: Top 15%
Parathyroid Disorders and Treatments
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.