ArticleScientific reports2022
Severe acute kidney disease is associated with worse kidney outcome among acute kidney injury patients.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 10 citations in OpenAlex.
- Association of urinary post-translationally modified fetuin-a and outcomes in acute kidney disease.BMC nephrology · 2026Article
- Article
- An Ensemble Machine Learning Model for Early Prediction of Vancomycin-Induced Acute Kidney Injury in ICU Patients.Archives of academic emergency medicine · 2025Article
- Unveiling the enigma of acute kidney disease: predicting prognosis, exploring interventions, and embracing a multidisciplinary approach.Kidney research and clinical practice · 2024Article
- Heterogeneity in the definition of major adverse kidney events: a scoping review.Intensive care medicine · 2024Article
- Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study.Journal of medical Internet research · 2024Article
- Subclinical and clinical acute kidney injury share similar urinary peptide signatures and prognosis.Intensive care medicine · 2023Observational
- Etiology and outcomes of acute kidney disease in children: a cohort study.Clinical and experimental nephrology · 2023Article
- Risk factors and 180-day mortality of acute kidney disease in critically ill patients: A multi-institutional study.Frontiers in medicine · 2023Article
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute kidney disease (AKD) comprises acute kidney injury (AKI). However, whether the AKD staging system has prognostic values among AKI patients with different baseline estimated glomerular filtration (eGFR) remains a controversial issue. Algorithm-based approach was applied to identify AKI occurrence and to define different AKD stages. Risk ratio for major adverse kidney events (MAKE), including (1) eGFR decline > 35% from baseline, (2) initiation of dialysis, (3) in-hospital mortality of different AKD subgroups were identified by multivariable logistic regression. Among the 4741 AKI patients identified from January 2015 to December 2018, AKD stages 1-3 after AKI was common (53% in the lower baseline eGFR group and 51% in the higher baseline eGFR group). In the logistic regression model adjusted for demographics and comorbidities at 1-year follow-up, AKD stages 1/2/3 (AKD stage 0 as reference group) were associated with higher risks of MAKE (AKD stage: odds ratio, 95% confidence interval [95% CI], AKD 1: 1.85, 1.56-2.19; AKD 2: 3.43, 2.85-4.12; AKD 3: 10.41, 8.68-12.49). Regardless of baseline eGFR, staging criteria for AKD identified AKI patients who were at higher risk of kidney function decline, dialysis and mortality. Post-AKI AKD patients with severer stage need intensified care and timely intervention.
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