Evidence map›Paper›PMID 39903890›Full record

ArticlePhysiological research2024

Prediction of Acute Kidney Injury Development in Critically Ill Septic Patients Based on NGAL Determination.

V Klementa, N Petejova, J Zadrazil, P Horak, J Proskova, K Langova, O Klementova, M Kanova, A Martinek, R Sigutova and 1 more

Abstract read
In one paragraph

Article in Physiological research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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

11 authors.

V KlementaDepartment of Internal Medicine III - Nephrology, Rheumatology and Endocrinology, Faculty of Medicine and Dentistry, University Hospital Olomouc and Palacky University Olomouc, Olomouc, Czech Republic. Viktor.Klementa@fnol.cz.
N Petejova
J Zadrazil
P Horak
J Proskova
K Langova
O Klementova
M Kanova
A Martinek
R Sigutova
D Stejskal

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI) is a consequence of several diseases that can severely damage kidney function. It is a frequent complication of hospitalization and very common in critically ill patients because of other serious illnesses, such as septic conditions. New diagnostic options, including renal biomarkers, may help in early diagnosis. Our study included 46 patients, 31 with AKI and 15 without AKI on admission. Blood samples were collected on the first, fourth, and seventh days of treatment, and in addition to basic biochemical parameters, neutrophil gelatinase-associated lipocalin (NGAL) levels in serum were also examined. Data from the first and seventh day were used for statistical analysis. On the first follow-up day, NGAL values were categorized according to an optimal cut-off value of 290 µg/l. We demonstrated that if NGAL levels were higher, the risk of renal injury increased approximately 16 times. Other results showed that NGAL levels were moderately correlated with serum creatinine (r = 0.613, p < 0.0001), procalcitonin (PCT) (r = 0.627, p < 0.0001), and AKI stage (r = 0.589, p < 0.0001). There was also a significant positive correlation with SOFA (Sequential Organ Failure Assessment) score (r = 0.395, p = 0.007). Early diagnosis and treatment are crucial in managing AKI and preventing further kidney damage. NGAL levels can increase within a few hours after injury, making it a useful tool for early AKI detection and diagnosis. Key words: Acute kidney injury, Biomarker, NGAL, Sepsis.

Indexed as

Acute Kidney InjuryLipocalin-2SepsisAdultAgedAged, 80 and overBiomarkersCritical IllnessFemaleHumansMaleMiddle AgedPredictive Value of TestsBiomarkersLCN2 protein, humanLipocalin-2

Identifiers

PMID39903890
PMCPMC11835211

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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.