THE ROLE OF uNGAL AND NON-ALBUMIN PROTEIN IN PREDICTING MORTALITY AMONG PATIENTS WITH CHRONIC KIDNEY DISEASE: FINDINGS FROM THE CHRONIC RENAL INSUFFICIENCY COHORT

 

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https://storage.unitedwebnetwork.com/files/1099/dd37bdb304b4def0416ccbbab8f05cb4.pdf
THE ROLE OF uNGAL AND NON-ALBUMIN PROTEIN IN PREDICTING MORTALITY AMONG PATIENTS WITH CHRONIC KIDNEY DISEASE: FINDINGS FROM THE CHRONIC RENAL INSUFFICIENCY COHORT

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Sz-Ying
Lu
Sz-Ying Lu 038425@tool.caaumed.org.tw China Medical University Hospital Division of Nephrology, Department of Internal Medicine Taichung Taiwan *
Yi-Ching Chang 037743@tool.caaumed.org.tw China Medical University Hospital Big Data Center Taichung Taiwan -
Hsiu-Yin Chiang 032031@tool.caaumed.org.tw China Medical University Hospital Big Data Center Taichung Taiwan - China Medical University Department of Biomedical Informatics Taichung Taiwan
David Ray Chang D22064@mail.cmuh.org.tw China Medical University Hospital Division of Nephrology, Department of Internal Medicine Taichung Taiwan -
Yu-Ting Lin 033703@tool.caaumed.org.tw China Medical University Hospital Big Data Center Taichung Taiwan - China Medical University Department of Biomedical Informatics Taichung Taiwan
Li-Xian Chen lxchen@mail.cmu.edu.tw China Medical University Department of Biomedical Informatics Taichung Taiwan -
Feng-Sheng Tsai fstsai@mail.cmu.edu.tw China Medical University Department of Biomedical Informatics Taichung Taiwan -
Yi-Wen Ting 015558@tool.caaumed.org.tw China Medical University Hospital Division of Nephrology, Department of Internal Medicine Taichung Taiwan -
Hung-Chieh Yeh 015559@tool.caaumed.org.tw China Medical University Hospital Division of Nephrology, Department of Internal Medicine Taichung Taiwan -
Chin-Chi Kuo fenderkuo@gmail.com China Medical University Hospital Division of Nephrology, Department of Internal Medicine Taichung Taiwan - China Medical University Hospital Big Data Center Taichung Taiwan China Medical University Department of Biomedical Informatics Taichung Taiwan
 
 
 
 
 

Urinary neutrophil gelatinase -associated lipocalin (uNGAL) is a well-established marker of tubular injury, particularly in the setting of acute kidney injury (AKI). Emerging evidence also supports its prognostic value in certain forms of chronic kidney disease (CKD), such as diabetic nephropathy and IgA nephropathy. Recognized as a tubular injury marker, we hypothesized that uNGAL could enhance risk stratification for all-cause mortality when combined with glomerular injury markers, including the urinary albumin-to-creatinine ratio (uACR) and urinary protein-to-creatinine ratio (uPCR), as well as their derived indices, uAPR (urinary albumin-to-protein ratio) and uNAP (non-albumin protein), thereby modeling the continuum from glomerular to tubular injury. 

Among 5,625 participants aged 21 to 75 years in the Chronic Renal Insufficiency Cohort (CRIC), we excluded those with over-diluted (urine creatinine <30 mg/dL), over-concentrated (urine creatinine >300 mg/dL), or implausible (urine albumin > urine protein) urine samples. We retrospectively analyzed 3,341 participants with concurrently measured uNGAL, uACR, and uPCR from the same urine specimen. The uAPR was calculated as uACR divided by uPCR, and uNAP as uPCR minus uACR. Associations of uNGAL with all-cause mortality were evaluated using multivariable Cox proportional hazards models. A 3×3 risk matrix was constructed by cross-classifying tertiles of uNGAL with tertiles of uNAP and further stratified by median uAPR. 

The median age was 60 years (interquartile range [IQR], 52.0–66.0), and 43.8% were female. During 37,860.4 person-years of follow-up, 1,392 deaths occurred. The median levels (IQR) of uNCR, uNAP, and uAPR were 21.2 (9.3-53.7) mg/g, 80.7 (44.1-248.4) mg/g, and 37.9% (14.4-58.7), respectively. The Spearman correlation coefficient between uNCR and uNAP was 0.495 (Figure). For each doubling in uNCR and uNAP, the adjusted hazard ratios (aHRs) for mortality were 1.15 (95% confidence interval [CI], 1.12–1.19) and 1.17 (95% CI, 1.13–1.20), respectively. Linear dose–response associations with mortality were observed for both uNCR and uNAP. The 3×3 risk matrix showed that participants in the severe concordant category of uNCR and uNAP had the highest mortality risk (aHR, 2.34; 95% CI, 1.90–2.87; Table). Among patients with non–albumin-predominant proteinuria (uAPR <40%), those in the highest tertiles of uNCR and uNAP exhibited the greatest mortality risk (aHR, 2.68; 95% CI, 1.97–3.65). 



Table. Risk matrices presenting adjusted hazard ratios (aHRs) for all-cause mortality across combined tertiles of uNCR and uNAP. Models were stratified by age at entry and exit and adjusted for sex, diabetes, hypertension, cardiovascular disease, cancer, use of ACE inhibitors, ARBs, antiplatelet agents, baseline eGFR, hemoglobin, and glucose.

Crude modeAdjusted model
uNCR (ng/mg)uNCR (ng/mg)
<12.2≧12.2~<38.6≧38.6<12.2≧12.2~<38.6≧38.6
uNAP (mg/g)
<52.4Ref.0.93 (0.74, 1.18)0.99 (1.73, 1.34)Ref.1.08 (0.84, 1.38)1.16 (0.84, 1.61)
≧52.4~<161.71.33 (1.07, 1.66)1.40 (1.14, 1.73)1.79 (1.42, 2.55)1.10 (0.88, 1.38)1.52 (1.21, 1.88)2.00 (1.56, 2.56)
≧161.71.86 (1.38, 2.49)2.63 (2.12, 3.26)3.22 (2.69, 3.86)1.52 (1.13, 2.05)1.83 (1.46, 2.29)2.34 (1.90, 2.87)

uNGAL and uNAP levels each showed independent and mutually reinforcing positive associations with all-cause mortality, particularly among patients with uAPR <40%, highlighting the role of tubulointerstitial injury in mortality risk assessment in CKD. These findings suggest that integrated evaluation of uNGAL, uNAP, and uAPR may provide practical clinical utility in the routine management of CKD.

 

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