ArticleCritical care (London, England)2020
Two subphenotypes of septic acute kidney injury are associated with different 90-day mortality and renal recovery.
Article 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 NCT05311046 (Biomarker-enhanced Artificial Intelligence Based Pediatric Sepsis Screening Tool Towards Early Recognition and Personalized Therapeutics), which is not on this map. Cited by 66 papers, 1 of them a synthesis that pooled it.
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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.
Biomarker-enhanced Artificial Intelligence Based Pediatric Sepsis Screening Tool Towards Early Recognition and Personalized Therapeutics
Who cites it
66 citing papers in PubMed, 1 synthesis or guideline pooled it, 121 citations in OpenAlex.
- Methods for phenotyping adult patients with acute kidney injury: a systematic review.Journal of nephrology · 2025Pooled it
- Targeting integrated cell death networks in sepsis‑associated acute kidney injury: Shared regulatory nodes and diet‑related small molecule modulation (Review).International journal of molecular medicine · 2026Review
- Precision medicine in pediatric sepsis-associated acute kidney injury: when systemic heterogeneity meets organ-level heterogeneity.World journal of pediatrics : WJP · 2026Article
- Insights from integrative spatial transcriptomics in sepsis-associated acute kidney injury.Nature reviews. Nephrology · 2026Review
- Pediatric sepsis-associated acute kidney injury: leveraging pathophysiology for risk stratification and identification of treatable traits.Pediatric nephrology (Berlin, Germany) · 2026Review
- Heparin-Binding Protein and Transplant-Associated Inflammation: Emerging Roles in Infection, Ischemia-Reperfusion Injury, and Allograft Dysfunction.Journal of clinical medicine · 2026Review
- External Validation, Molecular Signatures, and Therapeutic Relevance of Pediatric Sepsis-Associated Acute Kidney Injury Subphenotypes.Critical care medicine · 2026Observational
- Association of De Ritis ratio with mortality in ICU patients with sepsis-associated acute kidney injury: a retrospective multicenter cohort study.BMC infectious diseases · 2026Article
- Corticosteroids in severe community-acquired pneumonia: friend, foe or both?Pneumonia (Nathan Qld.) · 2026Review
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- A method for characterizing disease progression from acute kidney injury to chronic kidney disease.Journal of biomedical informatics · 2025Article
- Parsimonious Subphenotyping Algorithms Perform Differently in Patients With Sepsis and Hematologic Malignancy.Critical care medicine · 2025Article
- AKI Subtyping and Prognostic Analysis Based on Serum Electrolyte Features in ICU.Journal of clinical medicine · 2025Article
- Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical Deployment Study.Journal of medical Internet research · 2025Article
- Derivation and Validation of Pediatric Sepsis-Associated Acute Kidney Injury Subphenotypes With Prognostic Relevance.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2025Observational
- Clustering analysis of multi-site electronic health records reveals distinct subphenotypes in stage-1 acute kidney injury.Communications medicine · 2025Article
- Machine learning-derived multivariate renal function trajectories in acute kidney injury in critically ill patients: a multicentre retrospective study.Clinical kidney journal · 2025Article
- The association between pan-immune-inflammation value with mortality in critically ill patients with sepsis-associated acute kidney injury.BMC infectious diseases · 2025Article
- Association of PIV value with early mortality in ICU patients with sepsis-associated acute kidney injury from the MIMIC IV database.Scientific reports · 2025Article
6 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
9 authors at 7 institutions in 4 countries.
Funding
Abstract
backgroundThe pathophysiology of septic acute kidney injury is inadequately understood. Recently, subphenotypes for sepsis and AKI have been derived. The objective of this study was to assess whether a combination of comorbidities, baseline clinical data, and biomarkers could classify meaningful subphenotypes in septic AKI with different outcomes.
methodsWe performed a post hoc analysis of the prospective Finnish Acute Kidney Injury (FINNAKI) study cohort. We included patients admitted with sepsis and acute kidney injury during the first 48 h from admission to intensive care (according to Kidney Disease Improving Global Outcome criteria). Primary outcomes were 90-day mortality and renal recovery on day 5. We performed latent class analysis using 30 variables obtained on admission to classify subphenotypes. Second, we used logistic regression to assess the association of derived subphenotypes with 90-day mortality and renal recovery on day 5.
resultsIn total, 301 patients with septic acute kidney injury were included. Based on the latent class analysis, a two-class model was chosen. Subphenotype 1 was assigned to 133 patients (44%) and subphenotype 2 to 168 patients (56%). Increased levels of inflammatory and endothelial injury markers characterized subphenotype 2. At 90 days, 29% of patients in subphenotype 1 and 41% of patients in subphenotype 2 had died. Subphenotype 2 was associated with a lower probability of short-term renal recovery and increased 90-day mortality.
conclusionsIn this post hoc analysis, we identified two subphenotypes of septic acute kidney injury with different clinical outcomes. Future studies are warranted to validate the suggested subphenotypes of septic acute kidney injury.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.