ArticleClinical kidney journal2024
Recognition patterns of acute kidney injury in hospitalized patients.
Article in Clinical kidney journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinical practice guidelines for acute kidney injury: a systematic review of the methodological quality.Frontiers in medicine · 2025Pooled it
- Underdocumentation of laboratory-defined acute kidney injury in internal medicine wards: a retrospective cohort study.Renal failure · 2026Article
- In-hospital electronic monitoring system approaches to epidemiologic investigation and predictive modeling of contrast-induced acute kidney injury.Renal failure · 2026Article
- Urinary UDP-sugars provide actionable prediction of acute kidney injury in cardiac surgery patients.American journal of physiology. Heart and circulatory physiology · 2026Article
- Concordance Analysis Between KDIGO Definition of Acute Kidney Injury and Its Coding in Clinical Practice.Kidney medicine · 2026Article
- Azilsartan as a novel anti-ferriptotic agent via the upregulation of the Nrf2/HO-1/SLC7A11/GPX4 axis and downregulation of inflammatory pathways in folic acid-induced acute kidney injury in male mice.Toxicology reports · 2026Article
- Article
- Sensitivity and positive predictive value of diagnosis codes for acute kidney injury in Denmark.Clinical kidney journal · 2026Article
- Forecasting ICU Acute Kidney Injury with Actionable Lead Time Using Interpretable Machine Learning: Development and Multi-Center Validation.Journal of clinical medicine · 2026Article
- Biomarker-driven risk stratification and early intervention in acute kidney injury: a comprehensive review from early warning to clinical response.Frontiers in medicine · 2026Review
- Development and validation of machine learning models for predicting acute kidney injury in acute-on-chronic liver failure: a multimodel comparative study.Renal failure · 2025Article
- Association between stress hyperglycemia ratio and all-cause mortality in patients with acute kidney injury: a retrospective analysis of the MIMIC-IV database using machine learning.BMC nephrology · 2025Article
- Diagnostic value of the urea-to-creatinine ratio for gastrointestinal bleeding source: influence of renal function.BMC nephrology · 2025Article
- Acute kidney injury in hospitalized patients with real-life analysis of incidence and clinical impact in Italian hospitals (the SIN-AKI study).Scientific reports · 2025Article
- Article
- Acute kidney injury in hematological patients treated with CAR-T cells: risk factors, clinical presentation and impact on outcomes.Scientific reports · 2024Article
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Authors and funding
10 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Acute kidney injury (AKI) during hospitalization is associated with increased complications and mortality. Despite efforts to standardize AKI management, its recognition in clinical practice is limited. Methods: To assess and characterize different patterns of AKI diagnosis, we collected clinical data, serum creatinine (sCr) levels, comorbidities and outcomes from adult patients using the Hospital Discharge Form (HDF). AKI diagnosis was based on administrative data and according to Kidney Disease: Improving Global Outcomes (KDIGO) criteria by evaluating sCr variations during hospitalization. Additionally, patients were categorized based on the timing of AKI onset. Results: Among 56 820 patients, 42 900 (75.5%) had no AKI, 1893 (3.3%) had AKI diagnosed by sCr changes and coded in the HDF (full-AKI), 2529 (4.4%) had AKI reported on the HDF but not meeting sCr-based criteria (HDF-AKI) and 9498 (16.7%) had undetected AKI diagnosed by sCr changes but not coded in the HDF (KDIGO-AKI). Overall, AKI incidence was 24.5%, with a 68% undetection rate. Patients with KDIGO-AKI were younger and had a higher proportion of females, lower comorbidity burden, milder AKI stages, more frequent admissions to surgical wards and lower mortality compared with full-AKI patients. All AKI groups had worse outcomes than those without AKI, and AKI, even if undetected, was independently associated with mortality risk. Patients with AKI at admission had different profiles and better outcomes than those developing AKI later. Conclusions: AKI recognition in hospitalized patients is highly heterogeneous, with a significant prevalence of undetection. This variability may be affected by patients' characteristics, AKI-related factors, diagnostic approaches and in-hospital patient management. AKI remains a major risk factor, emphasizing the importance of ensuring proper diagnosis for all patients.
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