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Tracking the trajectory of kidney dysfunction in cirrhosis: the acute kidney injury: chronic kidney disease spectrum

Clinical and Molecular Hepatology 2025;31(3):730-752.
Published online: March 26, 2025

Department of Hepatology, Institute of Liver and Biliary Sciences, Delhi, India

Corresponding author : Rakhi Maiwall Department of Hepatology, Institute of Liver and Biliary Sciences, Sector D1, Vasant Kunj, New Delhi 110070, India Tel: +91-8750343085, E-mail: rakhi_2011@yahoo.co.in

Editor: Do Seon Song, The Catholic University of Korea, Korea

• Received: November 24, 2024   • Revised: March 1, 2025   • Accepted: March 24, 2025

Copyright © 2025 by The Korean Association for the Study of the Liver

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Tracking the trajectory of kidney dysfunction in cirrhosis: the acute kidney injury: chronic kidney disease spectrum
Clin Mol Hepatol. 2025;31(3):730-752.   Published online March 26, 2025
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Clin Mol Hepatol. 2025;31(3):730-752.   Published online March 26, 2025
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Tracking the trajectory of kidney dysfunction in cirrhosis: the acute kidney injury: chronic kidney disease spectrum
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Figure 1. The natural history of kidney injury in cirrhosis is depicted, highlighting the continuum of AKI-AKD-CKD and their outcomes. The susceptibility factors, such as demographic characteristics (age and sex), metabolic dysfunction (diabetes, hypertension, dyslipidemia,) ASCVD, CAD, autoimmune diseases, extrahepatic manifestations of PBC, viral hepatitis, genetic and epigenetic factors, pre-existing AKD/CKD, and specific drugs, predispose individuals to kidney injury. The stages of AKI are categorized based on SCr rise within 48 hours, a percentage increase over 7 days, or reduced urine output. Progression to AKD is defined by an SCr increase of ≥50% from baseline, reduced GFR below 60 mL/min/1.73 m², or the presence of kidney damage markers within 90 days. CKD represents a sustained GFR <60 mL/min/1.73 m² or persistent markers of kidney damage beyond 90 days. By definition, markers of kidney damage are not defined in AKI, but they might be present. The outcomes range from complete recovery (return of SCr within 0.3 mg/dL of baseline) to partial recovery with adaptive repair mechanisms (such as epithelial redifferentiation and return of tubular function) to maladaptive repair (associated with vascular dysfunction and persistent inflammation), culminating in progression to CKD or death. HRS type 1 has been redefined as HRS-AKI, representing AKI (KDIGO criteria) in cirrhotic patients with ascites fitting HRS criteria, while HRS type 2, characterized by a slow, subacute or chronic rise in SCr without a defined timeline, has been renamed HRS-NAKI. HRS-NAKI encompasses HRS-AKD, where kidney dysfunction persists for <90 days following an acute insult, and HRS-CKD, where dysfunction lasts ≥90 days. ACLF, acute-on-chronic liver failure; AKD, acute kidney disease; AKI, acute kidney injury; ASCVD, atherosclerotic cardiovascular disease; CAD, coronary artery disease; CKD, chronic kidney disease; FQ, fluoroquinolone; GFR, glomerular filtration rate; HRS, hepatorenal syndrome; HRS-NAKI, HRS-non-AKI; KDIGO, kidney disease improving global outcomes; LVP, large volume paracentesis; NSAID, non-steroidal anti-inflammatory drug; PBC, primary biliary cholangitis; PICD, paracentesis-induced circulatory dysfunction; PPI, proton pump inhibitor; SBP, spontaneous bacterial peritonitis; SCr, serum creatinine; SIRS, systemic inflammatory response syndrome.
Figure 2. Classification and staging of kidney dysfunction in cirrhosis. The figure provides a framework for evaluating kidney dysfunction in cirrhosis. The diagnostic algorithm begins with an elevation in serum creatinine or a reduction in eGFR, prompting urine analysis and kidney ultrasound. Kidney dysfunction is classified into two main categories based on the KDIGO criteria: AKI – defined by KDIGO criteria and NAKI, which includes AKD and CKD when KDIGO AKI criteria are not met. If AKI criteria are fulfilled, further assessment is conducted to determine whether the dysfunction meets the diagnostic criteria for HRS-AKI. The HRS criteria include no improvement in kidney function after 24 hours of adequate volume resuscitation (or immediate diagnosis if euvolemic), presence of cirrhosis with ascites and absence of alternative explanations for kidney impairment. Patients who do not fit the criteria for AKI but have persistent renal dysfunction may fall into the categories of HRS-AKD or HRS-CKD, depending on the duration of kidney dysfunction. These are collectively referred to as HRS-NAKI (functional AKD/CKD) when HRS pathophysiology underlies renal dysfunction without fulfilling the criteria for AKI. The bottom panels detail the staging criteria for AKI and CKD: AKI Staging follows KDIGO definitions based on the severity of serum creatinine rise and urine output reduction. CKD staging is stratified according to eGFR categories (G1–G5), ranging from normal kidney function (>90 mL/min/1.73 m²) to end-stage kidney disease (<15 mL/min/1.73 m²). Albuminuria is further classified into A1 (normal to mild), A2 (moderate), and A3 (severe). AKD, acute kidney disease; AKI, acute kidney injury; CKD, chronic kidney disease; eGFR, estimated glomerular filtration rate; HRS, hepatorenal syndrome; KDIGO, kidney disease improving global outcomes; NAKI, non-AKI; SCr, serum creatinine. Created in BioRender, Girish (2025) (https://BioRender.com/j37j260).
Figure 3. This diagram illustrates the various biomarkers of kidney disease in the setting of cirrhosis. Pre-renal AKI is influenced by factors including diuretics, cardiac dysfunction, excess laxative use, and inadvertent fluid restriction, which lead to renal vasoconstriction and may progress to HRS-AKI. Tubular injury is marked by proximal tubule dysfunction with associated biomarkers such as KIM-1, L-FABP, and IL-18, as well as distal tubule and collecting duct dysfunction marked by biomarkers like NGAL and calprotectin. Toxic and ischemic causes of AKI include variceal bleeding (AVB), septic shock, high-dose vasopressors, and cholemic nephropathy. Glomerulopathy, associated with viral hepatitis (HCV/HBV) and IgA nephropathy, and interstitial nephritis due to oxidative stress and inflammation, are additional contributors. Metabolomic pathways highlight oxidative stress-related AKI, including the transsulfuration pathway and metabolites such as kynurenine and cystathionine. Biomarkers of glomerular filtration include serum creatinine and cystatin C, which reflect kidney dysfunction and damage. AKI, acute kidney injury; AVB, acute variceal bleeding; HBV, hepatitis B virus; HCV, hepatitis C virus; HMGB-1, high mobility group box-1; HRS-AKI, hepatorenal syndrome-associated acute kidney injury; IL-18, interleukin-18; KIM-1, kidney injury molecule-1; L-FABP, liver-type fatty acid-binding protein; NGAL, neutrophil gelatinase-associated lipocalin; PENK, proenkephalin. Created in BioRender, Girish (2025) (https://BioRender.com/v27v115).
Figure 4. Approach to kidney disease in patients with chronic liver disease. The upper panel emphasizes key clinical components, including history, examination, biochemical markers (e.g., serum creatinine, bilirubin, albumin), and imaging findings (POCUS, Doppler studies). It is important to note the precipitating factors like infection, drugs, and volume shifts. Assessment of liver health (MELD, CTP, and other scores) and complications such as ascites, encephalopathy, and electrolyte imbalances are critical. The middle panel illustrates the continuum of kidney injury from AKI to CKD. The lower panel categorizes renal dysfunction into functional, structural, or mixed phenotypes (functional on structural). VExUS is not validated in cirrhosis. AARC, Asian Acute-On-Chronic Liver Failure Research Consortium; ABG, arterial blood gas; AKD, acute kidney disease; AKI, acute kidney injury; ALT, alanine aminotransferase; AST, aspartate aminotransferase; AVB, acute variceal bleeding; CKD, chronic kidney disease; CLIF-SOFA, chronic liver failure-sequential organ failure assessment; CTP, Child–Turcotte–Pugh; CVP, central venous pressure; eGFR, estimated glomerular filtration rate; HBV, hepatitis B virus; HCV, hepatitis C virus; IAP, intra-abdominal pressure; IVC, inferior vena cava; LVP, large volume paracentesis; MAP, mean arterial pressure; MELD, model for end-stage liver disease; MELD, model for end-stage liver disease; MVP, moderate volume paracentesis; POCUS, point-of-care ultrasound; RARI, renal artery resistive index; VExUS, venous excess ultrasound. Created in BioRender, Girish (2024) (https://BioRender.com/f56o341).
Figure 5. Approach to AKI in cirrhosis: This flowchart outlines a systematic approach to diagnosing, grading, and managing AKI in cirrhosis, incorporating KDIGO criteria. The algorithm stratifies AKI into functional and structural categories, emphasizing volume assessment through clinical, biochemical, and imaging parameters such as POCUS and venous congestion markers (e.g., IVC, HV, PV Doppler). Management pathways diverge based on the presence or absence of shock. Volume-depleted states are addressed with albumin-based resuscitation, and vasopressors such as terlipressin or noradrenaline are recommended for HRS-AKI after resuscitation. If they are fluidreplete (euvolemic), terlipressin can be started in a timely manner (within 24 hours). Hypervolemic patients might benefit from diuretics, which should be done based on clinical judgment (not included in the algorithm). Structural AKI might require kidney replacement therapy, therapeutic plasma exchange, or extracorporeal liver support, especially for ACLF. Non-response to treatment warrants reassessment of the underlying etiology, diagnostic refinement, and consideration of SLKT. Emerging biomarkers like uNGAL (level above 220 μg/dL) and monitoring of urine output are integral to guiding interventions and predicting recovery. While higher MAP is associated with better response rates, there is no definitive evidence linking it to improved clinical outcomes. Future considerations include the use of biomarkers for renal recovery prediction and tailoring therapeutic strategies. ABG, arterial blood gas; ACLF, acute-on-chronic liver failure; AKD, acute kidney disease; AKI, acute kidney injury; AVB, acute variceal bleeding; CKD, chronic kidney disease; CRRT, continuous renal replacement therapy; HRS, hepatorenal syndrome; HV, hepatic vein; IVC, inferior vena cava; KDIGO, kidney disease improving global outcomes; LT, liver transplantation; MAP, mean arterial pressure; MELD, model for end-stage liver disease; NGAL, neutrophil gelatinase-associated lipocalin; POCUS, point-of-care ultrasound; PV, portal vein; RARI, renal artery resistive index; SBP, spontaneous bacterial peritonitis; SLKT, simultaneous liver-kidney transplantation; TIPS, transjugular intrahepatic portosystemic shunt; uNGAL, urinary NGAL; VTI, velocity time integral. Created in BioRender, Girish (2025) (https://BioRender.com/y80v353).
Figure 6. Approach to AKD/CKD in cirrhosis: This flowchart outlines the management framework for AKD/CKD in cirrhosis, separating HRS-NAKI (HRS-AKD and HRS-CKD; earlier HRS-2 – which is functional) and structural kidney injuries. HRS-NAKI involves volume assessment and correction using albumin and vasopressors, with terlipressin tried in overlapping HRS-AKI cases. Structural CKD management targets underlying causes, including metabolic dysfunction (e.g., MASLD managed with SGLT2 inhibitors and statins), viral hepatitis (HBV and HCV therapies with renal adjustment), and immune-related nephropathies (e.g., IgA nephropathy and corticosteroid consideration). Key recommendations address metabolic derangements (acidosis, hyperkalemia, etc.), dietary restrictions, exercise for sarcopenia, and cautious diuretic use tailored to kidney and liver function. TIPS may be considered for refractory ascites, but patient selection based on MELD and clinical judgement is essential. Advanced therapies include renal replacement therapy and liver transplantation, with criteria for SLKT outlined for specific metabolic diseases and severe CKD. Emerging therapies and trial data for structural kidney diseases are integrated into management considerations. aHUS, atypical hemolytic uremic syndrome; AKD, acute kidney disease; CKD, chronic kidney disease; GFR, glomerular filtration rate; HBV, hepatitis B virus; HCV, hepatitis C virus; HE; HRS-NAKI, hepatorenal syndrome-non-AKI; KALT, kidney after liver transplant; KDPI, kidney donor profile index; LVP, large volume paracentesis; MAP, mean arterial pressure; MASLD, metabolic dysfunction-associated steatotic liver disease; MMA, methylmalonic acidemia; MVP, moderate volume paracentesis; NSBB, non-selective beta-blockers; SGLT2, sodium-glucose cotransporter 2; SLKT, simultaneous liver-kidney transplantation; TIPS, transjugular intrahepatic portosystemic shunt. Created in BioRender, Girish (2025) (https://BioRender.com/z58z274).
Tracking the trajectory of kidney dysfunction in cirrhosis: the acute kidney injury: chronic kidney disease spectrum
Biomarker Significance
A. Biomarkers of glomerular filtration defect
Blood biomarkers
 SCr Most used; overestimates GFR, part of MELD.
 CysC Better marker of GFR, Early predictor of AKI; predicts CKD progression, MELD CysC predicts outcomes better. [79]
 FGF-23 Predictive of AKI, CKD, and AKI-CKD progression; marker of inflammation, oxidative stress, and fibrosis, needs validation in cirrhosis.
 PENK Marker of oxidative stress and GFR estimation; early prediction of AKI and CKD, needs validation in cirrhosis. [50]
Urine biomarkers
 Urinary CysC Predict CKD progression.
B. Biomarkers of tubulointerstitial inflammation
Blood biomarkers
 NGAL Correlated with inflammation; differentiates ATN from HRS; important in deciding need for KRT; predicts AKI progression and poor outcomes.
 KIM-1 Marker of inflammation, apoptosis, and oxidative stress; indicate AKI onset.
Urine biomarkers
 uNGAL Elevated in ATN and differentiates from HRS in cirrhosis; predicts AKI progression and poor outcomes; caution required in UTI patients. [16]
 uKIM-1 Elevated in AKI and CKD, especially in decompensated cirrhosis with AKI; higher levels indicate tubular inflammation and oxidative stress; predicts AKI-to-CKD transition.
 IL-18 Differentiates ATN from HRS (uNGAL better), Increased in inflammation, predictor of AKI-to-CKD transition. [80]
 Urinary angiotensinogen and urinary cytokeratin 20 Novel markers for progression; needs further validation.
C. Biomarkers of failed repair
Blood biomarkers
 MCP-1 Marker of failed renal repair and persistent inflammation. [81]
 Angiopoietin Dysregulation contributes to failed repair following AKI. [12]
 NLR Elevated levels associated with poor outcomes and failed renal repair in AKI patients. [52]
D. Biomarkers of kidney fibrosis
Blood biomarkers
 TIMP-1 Predict progression, adverse outcomes in AKI patients. [81]
 L-FABP Correlates with decline in eGFR; predicts mortality, differentiates HRS and ATN. [81]
 Chitinase-3-like protein Elevated levels predict AKI and CKD onset.
 Calprotectin Differentiate functional AKI from intrinsic AKI, needs validation.
Urine biomarkers
 Urinary L-FABP Elevated levels predict kidney fibrosis and the transition from AKI to CKD.
Assessment Method Advantages Limitations
SCr - Easily available. - Overestimates GFR in sarcopenia, fluid overload and cirrhosis.
CysC - Earlier diagnosis of AKI (precede SCr changes by ~48 hours). - Not routinely available; inflammation alters value.
MDRD and CKD-EPI eGFR equations - Widely used and familiar. - Require SCr to be in a steady state; inaccurate in AKI.
- Less reliable if GFR < 40 mL/min/1.73 m² or ascites.
CKD-EPI-CysC eGFR equation - Least bias if GFR < 60 mL/min/1.73 m² (in cirrhosis). - Requires CysC.
- Recommended in cirrhosis.
2021 CKD-EPI equation (race-neutral) - Acceptable accuracy in initial studies (cirrhosis). - Likely role in patients with low GFR and ascites.
Table 1. Biomarkers of kidney disease in cirrhosis

ACLF, acute-on-chronic liver failure; AKI, acute kidney injury; ATN, acute tubular necrosis; CKD, chronic kidney disease; CysC, cystatin C; eGFR, estimated glomerular filtration rate; FGF-23, fibroblast growth factor-23; GFR, glomerular filtration rate; HMGB-1, high mobility group box-1; HRS, hepatorenal syndrome; IL-18, interleukin-18; KDIGO, kidney disease improving global outcomes; KIM-1, kidney injury molecule-1; KRT, kidney replacement therapy; L-FABP, liver-type fatty acid binding protein; MCP-1, monocyte chemoattractant protein-1; MELD, model for end-stage liver disease; NGAL, neutrophil gelatinase-associated lipocalin; NLR, neutrophil-to-lymphocyte ratio; PENK, proenkephalin; RRT, renal replacement therapy; SCr, serum creatinine; TIMP-1, tissue inhibitor of metalloproteinases-1; uKIM-1, urinary KIM-1; uNGAL, urinary NGAL.

Table 2. Methods for estimation of glomerular filtration rate

AKI, acute kidney injury; CKD-EPI, chronic kidney disease epidemiology collaboration; CysC, cystatin C; eGFR, estimated glomerular filtration rate; GFR, glomerular filtration rate; MDRD, modification of diet in renal disease; SCr, serum creatinine.