ArticlePeerJ2021
Acute kidney disease in hospitalized acute kidney injury patients.
Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 26 citations in OpenAlex.
- Article
- The burden of acute kidney disease: an epidemiological review and importance of follow-up care.Clinical kidney journal · 2025Review
- Unexpectedly high rate of unrecognized acute kidney injury and its trend over the past 14 years.Scientific reports · 2025Article
- Neutrophil-to-Lymphocyte Ratio Predicts Dialysis Timing & Prognosis in Critically Ill Patients.Health science reports · 2025Article
- Prognostic value of blood urea nitrogen to albumin ratio in septic patients with acute kidney injury-a retrospective study based on MIMIC database.Frontiers in medicine · 2025Article
- Heterogeneity in the definition of major adverse kidney events: a scoping review.Intensive care medicine · 2024Article
- Acute Kidney Disease following Acute Kidney Injury in Children-A Retrospective Observational Cohort Study on Risk Factors and Outcomes.Journal of clinical medicine · 2024Article
- Risk factors and predictive model for acute kidney Injury Transition to acute kidney disease in patients following partial nephrectomy.BMC urology · 2023Article
- Mitochondrial quality control in acute kidney disease.Journal of nephrology · 2023Review
- Article
- Risk factors and 180-day mortality of acute kidney disease in critically ill patients: A multi-institutional study.Frontiers in medicine · 2023Article
- Outcomes associated with acute kidney disease: A systematic review and meta-analysis.EClinicalMedicine · 2023Article
- Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease.Renal failure · 2022Article
- Outcome prediction for acute kidney injury among hospitalized children via eXtreme Gradient Boosting algorithm.Scientific reports · 2022Article
- Predictors of Acute Kidney Disease Severity in Hospitalized Patients with Acute Kidney Injury.Biomedicines · 2022Article
- Prediction of Mortality Risk After Ischemic Acute Kidney Injury With a Novel Prognostic Model: A Multivariable Prediction Model Development and Validation Study.Frontiers in medicine · 2022Article
- Acute Kidney Disease in Hospitalized Pediatric Patients With Acute Kidney Injury in China.Frontiers in pediatrics · 2022Article
- Application of Machine Learning to Predict Acute Kidney Disease in Patients With Sepsis Associated Acute Kidney Injury.Frontiers in medicine · 2021Article
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Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute kidney injury (AKI) and chronic kidney disease (CKD) have become worldwide public health problems, but little information is known about the epidemiology of acute kidney disease (AKD)-a state in between AKI and CKD. We aimed to explore the incidence and outcomes of hospitalized patients with AKD after AKI, and investigate the prognostic value of AKD in predicting 30-day and one-year adverse outcomes.
methodsA total of 2,556 hospitalized AKI patients were identified from three tertiary hospitals in China in 2015 and followed up for one year.AKD and AKD stage were defined according to the consensus report of the Acute Disease Quality Initiative 16 workgroup. Multivariable regression analyses adjusted for confounding variables were used to examine the association of AKD with adverse outcomes.
resultsAKD occurred in 45.4% (1161/2556) of all AKI patients, 14.5% (141/971) of AKI stage 1 patients, 44.6% (308/691) of AKI stage 2 patients and 79.6% (712/894) of AKI stage 3 patients. AKD stage 1 conferred a greater risk of Major Adverse Kidney Events within 30 days (MAKE30) (odds ratio [OR], 2.36; 95% confidence interval 95% CI [1.66-3.36]) than AKD stage 0 but the association only maintained in AKI stage 3 when patients were stratified by AKI stage. However, compared with AKD stage 0, AKD stage 2-3 was associated with higher risks of both MAKE30 and one-year chronic dialysis and mortality independent of the effects of AKI stage with OR being 31.35 (95% CI [23.42-41.98]) and 2.68 (95% CI [2.07-3.48]) respectively. The association between AKD stage and adverse outcomes in 30 days and one year was not significantly changed in critically ill and non-critically ill AKI patients. The results indicated that AKD is common among hospitalized AKI patients. AKD stage 2-3 provides additional information in predicting 30-day and one-year adverse outcomes over AKI stage. Enhanced follow-up of renal function of these patients may be warranted.
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