Evidence map›Paper›PMID 36203234›Full record

ArticleAcute and critical care2022

Validation of presepsin measurement for mortality prediction of sepsis: a preliminary study.

Seung Min Baik, Jin Park, Tae Yoon Kim, Se Hong Choi, Kyung Sook Hong

Abstract read
In one paragraph

Article in Acute and critical care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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  6. Impact of nutrition-related laboratory tests on mortality of patients who are critically ill using artificial intelligence: A focus on trace elements, vitamins, and cholesterol.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Seung Min BaikDivision of Critical Care Medicine, Department of Surgery, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, Korea.
Jin ParkDivision of Critical Care Medicine, Department of Neurology, Ewha Womans University Seoul Hospital, Ewha Womans University College of Medicine, Seoul, Korea.
Tae Yoon KimDivision of Critical Care Medicine, Department of Surgery, Ewha Womans University Seoul Hospital, Ewha Womans University College of Medicine, Seoul, Korea.
Se Hong ChoiGraduate Program in System Health Science and Engineering, Ewha Womans University College of Nursing, Seoul, Korea.
Kyung Sook HongDivision of Critical Care Medicine, Department of Surgery, Ewha Womans University Seoul Hospital, Ewha Womans University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis and septic shock remain the leading causes of death in critically ill patients worldwide. Various biomarkers are available to determine the prognosis and therapeutic effects of sepsis. In this study, we investigated the effectiveness of presepsin as a sepsis biomarker.

methodsPatients admitted to the intensive care unit with major or minor diagnosis of sepsis were categorized into survival and non-survival groups. The white blood cell count and serum C-reactive protein, procalcitonin, and presepsin levels were measured in all patients.

resultsThe study included 40 patients (survival group, 32; non-survival group, 8; mortality rate, 20%). The maximum serum presepsin levels measured during intensive care unit admission were significantly higher in the non-survival group (median [interquartile range]: 4,205.5 pg/ml [1,155.8-10,094.0] vs. 741.5 pg/ml [520.0-1,317.5], P<0.05). No statistically significant intergroup differences were observed in the maximum, minimum, and mean values of the white blood cell count, as well as serum C-reactive protein, and procalcitonin levels. Based on the receiver operating characteristic curve, the area under the curve for presepsin as a predictor of sepsis mortality was 0.764. At a cut-off value of 1,898.5 pg/ml, the sensitivity and specificity of presepsin for prediction of sepsis-induced mortality were 75.0% and 87.5%, respectively.

conclusionsEarly diagnosis of sepsis and prediction of sepsis-induced mortality are important for prompt initiation of treatment. Presepsin may serve as an effective biomarker for prediction of sepsis-induced mortality and for evaluation of treatment effectiveness.

Indexed as

biomarkersmortalitypresepsinsepsisseptic shock

Identifiers

PMID36203234
PMCPMC9732208

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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.