Evidence map›Paper›PMID 38934036›Full record

ArticleKidney research and clinical practice2024

Plasma presepsin for mortality prediction in patients with sepsis-associated acute kidney injury requiring continuous kidney replacement therapy.

Gi-Beop Lee, Ji Won Lee, Se-Hee Yoon, Won Min Hwang, Sung-Ro Yun, Dong Hoon Koh, Yohan Park

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Article in Kidney research and clinical practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Gi-Beop LeeDivision of Nephrology, Department of Internal Medicine, Konyang University Hospital, College of Medicine, Konyang University, Daejeon, Republic of Korea.
Ji Won LeeDivision of Nephrology, Department of Internal Medicine, Konyang University Hospital, College of Medicine, Konyang University, Daejeon, Republic of Korea.
Se-Hee YoonDivision of Nephrology, Department of Internal Medicine, Konyang University Hospital, College of Medicine, Konyang University, Daejeon, Republic of Korea.
Won Min HwangDivision of Nephrology, Department of Internal Medicine, Konyang University Hospital, College of Medicine, Konyang University, Daejeon, Republic of Korea.
Sung-Ro YunDivision of Nephrology, Department of Internal Medicine, Konyang University Hospital, College of Medicine, Konyang University, Daejeon, Republic of Korea.
Dong Hoon KohDepartment of Urology, Konyang University Hospital, College of Medicine, Konyang University, Daejeon, Republic of Korea.
Yohan ParkDivision of Nephrology, Department of Internal Medicine, Konyang University Hospital, College of Medicine, Konyang University, Daejeon, Republic of Korea.

Funding

Korean Nephrology Research Foundation 2021-08-004National Research Foundation of Korea RS-2022-00166592
6 · The paper itself

Abstract

backgroundThe reliability of presepsin as a biomarker of sepsis may be reduced in patients with acute kidney injury (AKI) requiring continuous kidney replacement therapy (CKRT). This study analyzed the utility of plasma presepsin values in predicting mortality in patients with AKI requiring CKRT, particularly those with sepsis-associated AKI.

methodsThis single-center retrospective study included 57 patients who underwent CKRT, with plasma presepsin measurements, from April 2022 to March 2023; 35 had sepsis-associated AKI. The predictive values of plasma presepsin, as well as Acute Physiology and Chronic Health Evaluation II (APACHE II) and Sequential Organ Failure Assessment (SOFA) scores, for 28-day mortality were analyzed using receiver operating characteristic curves. Multivariate Cox regression analysis was performed to identify risk factors for 28-day mortality in the sepsis-associated AKI subgroup.

resultsOverall, plasma presepsin showed a lower area under the curve value (0.636; 95% confidence interval [CI], 0.491-0.781) than the APACHE II (0.663; 95% CI, 0.521-0.804) and SOFA (0.731; 95% CI, 0.599-0.863) scores did. However, in sepsis-associated AKI, the area under the curve increased to 0.799 (95% CI, 0.653-0.946), which was higher than that of the APACHE II (0.638; 95% CI, 0.450-0.826) and SOFA (0.697; 95% CI, 0.519-0.875) scores. In the multivariate Cox regression analysis, a high presepsin level was an independent risk factor for 28-day mortality in sepsis-associated AKI (hazard ratio, 3.437; p = 0.03).

conclusionPresepsin is a potential prognostic marker in patients with sepsis-associated AKI requiring CKRT.

Indexed as

Acute kidney injuryContinuous renal replacement therapyMortalityPresepsin proteinSepsis

Identifiers

PMID38934036
PMCPMC11237336

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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.