Observational studyCritical care (London, England)2020
Different applications of the KDIGO criteria for AKI lead to different incidences in critically ill patients: a post hoc analysis from the prospective observational SICS-II study.
Observational study in Critical care (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03577405 (Simple Intensive Care Studies II), which is not on this map. Cited by 46 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Simple Intensive Care Studies II
Who cites it
46 citing papers in PubMed, 71 citations in OpenAlex.
- Low versus standard calorie and protein feeding and renal dysfunction in ventilated adults with shock: a NUTRIREA-3 post hoc analysis.Intensive care medicine · 2026Trial
- ICU-acquired acute kidney injury in critically ill adults: a retrospective cohort study of risk factors and KDIGO stage dynamics in a Brazilian ICU.Renal failure · 2026Article
- Early, frequent, yet reversible: acute kidney injury after hematopoietic stem cell transplantation in pediatric Fanconi anemia and long-term renal outcomes.Pediatric nephrology (Berlin, Germany) · 2026Article
- The effect of normothermic machine perfusion on acute kidney injury following liver transplantation: a propensity score-matched, retrospective, single-centre, cohort study.EClinicalMedicine · 2026Article
- Amino acids for the prevention of acute kidney injury after cardiac surgery: a narrative review of trials and meta-analyses.Journal of cardiothoracic surgery · 2026Review
- Concordance Analysis Between KDIGO Definition of Acute Kidney Injury and Its Coding in Clinical Practice.Kidney medicine · 2026Article
- Article
- Automated CT segmentation of kidneys successfully quantifies changes in total kidney volume in ICU patients, a retrospective cohort study.BMC nephrology · 2026Article
- Continuous Renal Replacement Therapy During Liver Transplant: The Anesthesiologist-Nephrologist Collaboration at a Tertiary University Hospital in Italy.Clinical transplantation · 2026Article
- Distinguishing AKI from CKD: outcomes and characteristics of patients with abnormal serum creatinine and no known baseline.BMC nephrology · 2026Article
- Linking AKIN stages with tropical infection induced acute kidney injury among Indian patients.Bioinformation · 2026Article
- Risk of acute kidney injury following intravenous iodinated contrast exposure among pediatric population: a narrative review.Pediatric radiology · 2025Review
- Exploring trajectories of acute kidney injury in the intensive care unit: a population-based cohort study.Scientific reports · 2025Article
- Toward the standardization of big datasets of urine output for AKI analysis: a multicenter validation study.Scientific reports · 2025Article
- The computerized algorithm for renal assessment improves diagnostic accuracy of renal impairment in hospitalized patients.Scientific reports · 2025Article
- Urine Output as a Novel Predictor for In-Hospital Mortality in Acute Pulmonary Embolism Patients: Training With the MIMIC Database and Validation With Independent Cohort.Cardiovascular therapeutics · 2025Article
- Contrast-Enhanced Ultrasound (CEUS) and Ultra-Microangiography (UMA) in Critically Ill Children with Acute Kidney Injury.Children (Basel, Switzerland) · 2024Review
- Association of corticosteroid therapy with reduced acute kidney injury and lower NET markers in severe COVID-19: an observational study.Intensive care medicine experimental · 2024Article
- Averaged versus Persistent Reduction in Urine Output to Define Oliguria in Critically Ill Patients: An Observational Study.Clinical journal of the American Society of Nephrology : CJASN · 2024Article
- Urine output is an early and strong predictor of acute kidney injury and associated mortality: a systematic literature review of 50 clinical studies.Annals of intensive care · 2024Review
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute kidney injury (AKI) is a frequent and clinically relevant problem in critically ill patients. Various randomized controlled trials (RCT) have attempted to assess potentially beneficial treatments for AKI. Different approaches to applying the Kidney Disease Improving Global Outcomes (KDIGO) criteria for AKI make a comparison of studies difficult. The objective of this study was to assess how different approaches may impact estimates of AKI incidence and whether the association between AKI and 90-day mortality varied by the approach used.
methodsConsecutive acutely admitted adult intensive care patients were included in a prospective observational study. AKI was determined following the KDIGO criteria during the first 7 days of ICU admission. In this post hoc analysis, we assessed whether AKI incidence differed when applying the KDIGO criteria in 30 different possible methods, varying in (A) serum creatinine (sCr), (B) urine output (UO), and (C) the method of combining these two into an outcome, e.g., severe AKI. We assessed point estimates and 95% confidence intervals for each incidence. Univariable regression was used to assess the associations between AKI and 90-day mortality.
resultsA total of 1010 patients were included. Baseline creatinine was available in 449 (44%) patients. The incidence of any AKI ranged from 28% (95%CI 25-31%) to 75% (95%CI 72-77%) depending on the approach used. Methods to estimate missing baseline sCr caused a variation in AKI incidence up to 15%. Different methods of handling UO caused a variation of up to 35%. At 90 days, 263 patients (26%) had died, and all 30 variations were associated with 90-day mortality.
conclusionsIn this cohort of critically ill patients, AKI incidence varied from 28 to 75%, depending on the method used of applying the KDIGO criteria. A tighter adherence to KDIGO definitions is warranted to decrease the heterogeneity of AKI and increase the comparability of future studies.
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