Evidence map›Paper›PMID 42440654›Full record

ArticleFrontiers in medicine2026

Dynamics in kidney function markers as predictors of post-ICU survival: an innovative approach to enhance marker accuracy.

Jakob Landau, Irene Unterman, Keren Tzukert, Maria Frantzi, Harald Mischak, Louis Boutin, François Depret, Agnieszka Latosinka, Yaron Ilan

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Jakob Landau *Department of Medicine, Hadassah Medical Center, Jerusalem, Israel.
Irene Unterman *Department of Dermatology and Venereology, Hadassah Medical Center, Jerusalem, Israel.
Keren TzukertDepartment of Nephrology, Hadassah Medical Center, Jerusalem, Israel.
Maria FrantziMosaiques Diagnostics GmbH, Hannover, Germany.
Harald MischakMosaiques Diagnostics GmbH, Hannover, Germany.
Louis BoutinINSERM, UMR-942, MASCOT, Cardiovascular Markers in Stress Condition, Université de Paris, Paris, France.
François DepretINSERM, UMR-942, MASCOT, Cardiovascular Markers in Stress Condition, Université de Paris, Paris, France.
Agnieszka LatosinkaMosaiques Diagnostics GmbH, Hannover, Germany.
Yaron IlanDepartment of Medicine, Hadassah Medical Center, Jerusalem, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction and aims: The variability of physiological biomarkers is emerging as an independent indicator of health across various contexts. In intensive care unit (ICU) patients, high variability in serum creatinine, regardless of absolute values, has been associated with higher mortality. This study investigates the dynamics of blood and urine kidney function markers in ICU patients. Methods: In a Results: At ICU admission, only serum Proenkephalin (PENK) values demonstrated a weak association with short-term post-ICU survival. In contrast, urine peptidome score CKD273 and cystatin C levels measured at ICU discharge were strongly associated with one-month survival. The differences in CKD273, Galectin-3, and plasma neutrophil gelatinase-associated lipocalin (NGAL) between admission and discharge were the most predictive of one-month survival, independent of baseline values. Furthermore, the slopes of CKD273 and plasma NGAL trajectories were prognostic. Absolute dynamic changes in urine NGAL were also linked to poorer short-term survival. Long-term post-ICU survival showed patterns similar to short-term outcomes with respect to biomarker differences during the ICU stay. When examining absolute changes, pronounced dynamics in PENK across the ICU course were associated with worse one-year survival. Conclusion: Both the magnitude and dynamics of kidney function markers may serve as independent predictors of short and long-term post-ICU mortality. As a

Indexed as

AKIbiomarkersdynamicsICUpeptidomevariability

Identifiers

PMID42440654
PMCPMC13333596

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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 Socratic graph.