Observational studyMedicine2022
Plasma presepsin level predicts acute kidney injury in patients with sepsis in the emergency department.
Observational study in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Presepsin as a Diagnostic and Prognostic Biomarker of Sepsis-Associated Acute Kidney Injury: A Scoping Review of Clinical Evidence.Journal of clinical medicine · 2025Review
- The Prognostic Utility of Pathophysiologically Distinct Biomarkers for Renal Outcomes in Sepsis: A Prospective ICU Cohort Study.Journal of clinical medicine · 2025Article
- Evaluation of Presepsin for Early Diagnosis of Sepsis in the Emergency Department.Journal of clinical medicine · 2025Article
- Sepsis-Associated Acute Kidney Injury: What's New Regarding Its Diagnostics and Therapeutics?Diagnostics (Basel, Switzerland) · 2024Review
- Urinary presepsin is a novel biomarker capable of directly assessing monocyte/macrophage infiltration in kidney diseases.Scientific reports · 2024Article
- Presepsin Does Not Predict Risk of Death in Sepsis Patients Admitted to the Intensive Care Unit: A Prospective Single-Center Study.Biomedicines · 2024Article
- Diagnostic and Prognostic Roles of C-Reactive Protein, Procalcitonin, and Presepsin in Acute Kidney Injury Patients Initiating Continuous Renal Replacement Therapy.Diagnostics (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute kidney injury (AKI) is a common complication in patients with sepsis. We evaluated the potential prognostic value of plasma presepsin to predict AKI in patients with sepsis in the emergency department. A total of 193 patients diagnosed with sepsis based on the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) were included in this observational study. AKI was defined according to the Kidney Disease Improving Global Outcomes clinical practice guideline. Plasma presepsin levels were measured on admission to the emergency department. We compared plasma presepsin levels between patients who did and those who did not develop AKI. AKI occurred in 100 (51.8%) patients. The median plasma presepsin level was significantly higher in patients with AKI than in those without AKI (1061 pg/mL vs 495 pg/mL, P <.001). Plasma presepsin levels were significantly increased in patients with AKI stage 3 compared with those with AKI stages 1 and 2 (P =.001). The area under the curve of presepsin for predicting AKI was 0.793 (95% confidence interval: 0.729-0.848). The optimal presepsin cutoff value for predicting AKI was >572 pg/mL, with a sensitivity of 77.0% and specificity of 81.7%. Plasma presepsin level is a valuable biomarker for the prediction of AKI in patients with sepsis in the emergency department.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.