ArticleScientific reports2020
Combined use of GM2AP and TCP1-eta urinary levels predicts recovery from intrinsic acute kidney injury.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Article
- New Challenges in the Diagnosis of Kidney Damage Due to Immune Checkpoint Inhibitors Therapy: An Observational Clinical Study.Diagnostics (Basel, Switzerland) · 2023Article
- Identification of Pre-Renal and Intrinsic Acute Kidney Injury by Anamnestic and Biochemical Criteria: Distinct Association with Urinary Injury Biomarkers.International journal of molecular sciences · 2023Article
- Optimum Post-Discharge Care of Acute Kidney Injury (AKI) Survivors.Journal of clinical medicine · 2022Review
- Diagnosis of Cardiac Surgery-Associated Acute Kidney Injury: State of the Art and Perspectives.Journal of clinical medicine · 2022Review
- Urinary KIM-1 Correlates with the Subclinical Sequelae of Tubular Damage Persisting after the Apparent Functional Recovery from Intrinsic Acute Kidney Injury.Biomedicines · 2022Article
- The Urinary Level of Injury Biomarkers Is Not Univocally Reflective of the Extent of Toxic Renal Tubular Injury in Rats.International journal of molecular sciences · 2022Article
- Identifying Candidate Protein Markers of Acute Kidney Injury in Acute Decompensated Heart Failure.International journal of molecular sciences · 2022Article
- Determinants of Outcomes of Acute Kidney Injury: Clinical Predictors and Beyond.Journal of clinical medicine · 2021Review
- The furosemide stress test: Perspectives for acute kidney injury diagnosis.Jornal brasileiro de nefrologiaArticle
Corrections and comments
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Authors and funding
13 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Deficient recovery from acute kidney injury (AKI) has immediate and long-term health, clinical and economic consequences. Pre-emptive recovery estimation may improve nephrology referral, optimize decision making, enrollment in trials, and provide key information for subsequent clinical handling and follow-up. For this purpose, new biomarkers are needed that predict outcome during the AKI episode. We hypothesized that damage pattern-specific biomarkers are expected to more closely associate to outcome within distinct subpopulations (i.e. those affected by specific pathological processes determining a specific outcome), as biomarker pleiotropy (i.e. associated to phenomena unrelated to AKI) introduced by unselected, heterogeneous populations may blur statistics. A panel of urinary biomarkers was measured in patients with AKI and their capacity to associate to normal or abnormal recovery was studied in the whole cohort or after sub-classification by AKI etiology, namely pre-renal and intrinsic AKI. A combination of urinary GM2AP and TCP1-eta best associates with recovery from AKI, specifically within the sub-population of renal AKI patients. This two-step strategy generates a multidimensional space in which patients with specific characteristics (i.e. renal AKI patients with good or bad prognosis) can be identified based on a collection of biomarkers working serially, applying pathophysiology-driven criteria to estimate AKI recovery, to facilitate pre-emptive and personalized handling.
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