Evidence map›Paper›PMID 34930141›Full record

ArticleBMC gastroenterology2021

Association of FIB-4 index and clinical outcomes in critically ill patients with acute kidney injury: a cohort study.

Yi-Yi Shi, Rui Zheng, Jie-Jie Cai, Zheng-Dong Fang, Wen-Jing Chen, Jing-Ye Pan, Song-Zan Qian

Abstract read
In one paragraph

Article in BMC gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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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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

5 citing papers in PubMed.

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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.

Yi-Yi Shi *Department of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Rui Zheng *Department of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Jie-Jie CaiDepartment of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Zheng-Dong FangSchool of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, 325000, China.
Wen-Jing ChenSchool of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, 325000, China.
Jing-Ye PanDepartment of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China. wmupanjingye@126.com.
Song-Zan QianDepartment of Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China. 284549910@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relationship between fibrosis-4 (FIB-4) index and clinical outcomes in patients with acute kidney injury (AKI) is unclear. We aimed to investigate the association between FIB-4 index and all-cause mortality in critically ill patients with AKI.

methodsWe used data from the Multiparameter Intelligent Monitoring in Intensive Care III (MIMIC-III) database (v1.4). The FIB-4 score was calculated using the existing formulas. logistic regression model, and Cox proportional hazards model were used to assessed the relationship between the FIB-4 index and in-hospital,28-day and 90-day mortality, respectively.

resultsA total of 3592 patients with AKI included in the data analysis. 395 (10.99%) patients died during hospitalization and 458 (12.74%) patients died in 28-day. During the 90-day follow-up, 893 (22.54%) patients were dead. An elevated FIB-4 value was significantly associated with increased in-hospital mortality when used as a continuous variable (odds ratio [OR] 1.183, 95% confidence interval [CI] 1.072-1.305, P = 0.002) and as a quartile variable (OR of Q2 to Q4 1.216-1.744, with Q1 as reference). FIB-4 was positively associated with 28-day mortality of AKI patients with hazard ratio (HR) of 1.097 (95% CI 1.008, 1.194) and 1.098 (95% 1.032, 1.167) for 90-day mortality, respectively.

conclusionThis study demonstrated the FIB-4 index is associated with clinical outcomes in critically ill patients with acute kidney injury.

Indexed as

Acute Kidney InjuryCritical IllnessCohort StudiesHumansAcute kidney injuryFibrosis-4 (FIB-4)Liver fibrosisMortality

Identifiers

PMID34930141
PMCPMC8685308

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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.