Evidence map›Paper›PMID 37855356›Full record

ArticleCombinatorial chemistry & high throughput screening2024

Combination of Urinary Neutrophil Gelatinase-associated Lipocalin, Kidney Injury Molecular-1, and Angiotensinogen for the Early Diagnosis and Mortality Prediction of Septic Acute Kidney Injury.

Na Li, Xuelian Zhang, Peng Wan, Min Yu, Jinyi Min

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Article in Combinatorial chemistry & high throughput screening, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Na LiDepartment of Critical Care Medicine, Dangyang Renmin Hospital of Hubei Province, Yichang, 444100, China.
Xuelian ZhangDepartment of Critical Care Medicine, Dangyang Renmin Hospital of Hubei Province, Yichang, 444100, China.
Peng WanDepartment of Critical Care Medicine, The First College of Clinical Medical Science, China Three Gorges University (Yichang Central People's Hospital), Yichang, 443000, China.
Min YuDepartment of Critical Care Medicine, The First College of Clinical Medical Science, China Three Gorges University (Yichang Central People's Hospital), Yichang, 443000, China.
Jinyi MinDepartment of Critical Care Medicine, Dangyang Renmin Hospital of Hubei Province, Yichang, 444100, China.
China Three Gorges University · CNYichang Central People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) is one of the most severe complications of sepsis. This study was conducted to analyze the role of urinary neutrophil gelatinase-associated lipocalin (uNGAL), urinary kidney injury molecular-1 (uKIM-1), and urinary angiotensinogen (uAGT) in the early diagnosis and mortality prediction of septic AKI.

methodsThe prospective study enrolled 80 sepsis patients in the ICU and 100 healthy individuals and divided patients into an AKI group and a non-AKI group. uNGAL, uKIM-1, uAGT, serum creatinine/procalcitonin/C-reaction protein, and other indicators were determined, and clinical prediction scores were recorded. The sensitivity and specificity of uNGAL, uKIM-1, and uAGT in diagnosis and mortality prediction were analyzed by the receiver operator characteristic (ROC) curve and the area under the curve (AUC).

resultsuNGAL, uKIM-1, and uAGT levels were higher in sepsis patients than healthy controls, higher in AKI patients than non-AKI patients, and higher in AKI-2 and AKI-3 patients than AKI-1 patients. At 0 h after admission, the combined efficacy of three indicators in septic AKI diagnosis (ROC-AUC: 0.770; sensitivity: 82.5%; specificity: 70.0%) was better than a single indicator. At 24 h, uNGAL, uKIM-1, and uAGT levels were higher in sepsis non-survivals than survivals and higher in septic AKI non-survivals than septic AKI survivals. The combined efficacy of three indicators in the prediction of sepsis/septic AKI mortality (ROC-AUC: 0.828/0.847; sensitivity: 71.4%/100.0%; specificity: 82.7%/66.7%) was better than a single indicator.

conclusionuNGAL, uKIM-1, and uAGT levels were increased in septic AKI, and their combination helped the early diagnosis and mortality prediction.

Indexed as

Acute Kidney InjuryAngiotensinogenEarly DiagnosisLipocalin-2SepsisAdultAgedBiomarkersFemaleHepatitis A Virus Cellular Receptor 1HumansMaleMiddle AgedProspective StudiesAngiotensinogenBiomarkersHAVCR1 protein, humanHepatitis A Virus Cellular Receptor 1LCN2 protein, humanLipocalin-2acute kidney injuryearly diagnosismortality.Sepsisseverity assessmentuAGTuKIM-1uNGAL

Identifiers

PMID37855356
OpenAlexW4387765456

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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.