Evidence map›Paper›PMID 38509165›Full record

ArticleScientific reports2024

Plasma neutrophil gelatinase-associated lipocalin independently predicts dialysis need and mortality in critical COVID-19.

Jonas Engström, Hazem Koozi, Ingrid Didriksson, Anders Larsson, Hans Friberg, Attila Frigyesi, Martin Spångfors

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  3. Review
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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

7 authors at 3 institutions in 1 country.

Jonas EngströmDepartment of Clinical Sciences, Lund University, Anesthesiology and Intensive Care, Lund, 221 00, Sweden. jonas.engstrom@med.lu.se.
Hazem KooziDepartment of Clinical Sciences, Lund University, Anesthesiology and Intensive Care, Lund, 221 00, Sweden.
Ingrid DidrikssonDepartment of Clinical Sciences, Lund University, Anesthesiology and Intensive Care, Lund, 221 00, Sweden.
Anders LarssonDepartment of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, 751 05, Sweden.
Hans FribergDepartment of Clinical Sciences, Lund University, Anesthesiology and Intensive Care, Lund, 221 00, Sweden.
Attila Frigyesi *Department of Clinical Sciences, Lund University, Anesthesiology and Intensive Care, Lund, 221 00, Sweden.
Martin Spångfors *Department of Clinical Sciences, Lund University, Anesthesiology and Intensive Care, Lund, 221 00, Sweden.
Lund University · SEKristianstad University · SEUppsala University · SE

Funding

Crafoordska Stiftelsen #2021-0833Hjärt-Lungfonden #2021-0233Hjärt-Lungfonden #2022-0352Region Skåne #2022-1256Region Skåne #2022-1284Utbildningsdepartementet #2022-0226Utbildningsdepartementet #2022:YF0009
6 · The paper itself

Abstract

Neutrophil gelatinase-associated lipocalin (NGAL) is a novel kidney injury and inflammation biomarker. We investigated whether NGAL could be used to predict continuous renal replacement therapy (CRRT) and mortality in critical coronavirus disease 2019 (COVID-19). This prospective multicenter cohort study included adult COVID-19 patients in six intensive care units (ICUs) in Sweden between May 11, 2020 and May 10, 2021. Blood was sampled at admission, days two and seven in the ICU. The samples were batch analyzed for NGAL, creatinine, and cystatin c after the end of the study period. Initiation of CRRT and 90-day survival were used as dependent variables in regression models. Of 498 included patients, 494 were analyzed regarding CRRT and 399 were analyzed regarding survival. Seventy patients received CRRT and 154 patients did not survive past 90 days. NGAL, in combination with creatinine and cystatin c, predicted the subsequent initiation of CRRT with an area under the curve (AUC) of 0.95. For mortality, NGAL, in combination with age and sex, had an AUC of 0.83. In conclusion, NGAL is a valuable biomarker for predicting subsequent initiation of CRRT and 90-day mortality in critical COVID-19. NGAL should be considered when developing future clinical scoring systems.

Indexed as

Acute Kidney InjuryCOVID-19AdultBiomarkersCohort StudiesCreatinineCystatin CHumansLipocalin-2Prospective StudiesRenal DialysisBiomarkersCreatinineCystatin CLipocalin-2

Identifiers

PMID38509165
PMCPMC10954663
OpenAlexW4393005279

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Registered trials

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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.