Evidence mapPaperPMID 40877970Full record

ArticleEuropean journal of medical research2025

Association between fibrinogen-to-albumin ratio and all-cause mortality in critically ill patients with atrial fibrillation: a retrospective study using the MIMIC-IV database.

Yuchen Han, Shiyun Jiang, Siyuan Cheng, Lishuai Zhang

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Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yuchen Han *School of Medicine, Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong Province, China. 15776631075@163.com.
Shiyun Jiang *Department of General Medicine, Guangzhou Huangpu District Yonghe Street Community Health Service Center, No.35 Xinye Road, Huangpu District, Guangzhou, Guangdong Province, China. 18842545038@163.com.
Siyuan ChengSchool of Medicine, Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong Province, China.
Lishuai ZhangSchool of Medicine, Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFibrinogen-albumin ratio (FAR) is a reliable indicator of systemic inflammatory status and prognosis in cardiovascular disease. However, there are still few studies on the prognostic value of the FAR in patients with atrial fibrillation (AF). The aim of this study was to assess the relationship between FAR and all-cause mortality in critically ill patients with AF upon Intensive Care Unit admission.

methodsThe data used in this study were obtained from the MIMIC-IV database, and patients were divided into four quartile groups based on FAR levels. The main endpoints were all-cause mortality at 365 days; secondary endpoints were at 30, 90 and 180 days. Kaplan-Meier curves were used for intergroup comparisons of FAR quartiles. The association between FAR (continuous or categorical variables) and clinical outcomes was assessed using Cox proportional hazards regression and restricted cubic spline (RCS) models. To further weaken the influence of confounding factors, we performed propensity score matching (PSM) on the primary outcome. After PSM, Cox regression analysis and KM analysis were re-performed.

resultsThe cohorts before and after PSM comprised 834 and 650 patients, respectively. Kaplan-Meier analysis showed that, regardless of whether PSM was performed, an increase in FAR was significantly associated with 365-day all-cause mortality (log-rank P < 0.01). The RCS model shows that the association between FAR and all-cause mortality exhibits an approximately linear upward trend. According to Cox proportional hazards model analysis, FAR, as a continuous variable or categorical variable, is associated with a high risk of death.

conclusionsFAR could be used as a useful tool for evaluating illness severity and informing clinical management in AF patients admitted to the ICU.

Indexed as

Atrial FibrillationCritical IllnessFibrinogenSerum AlbuminAgedDatabases, FactualFemaleHumansIntensive Care UnitsKaplan-Meier EstimateMaleMiddle AgedPrognosisRetrospective StudiesFibrinogenSerum AlbuminAll-cause mortalityAtrial fibrillationFibrinogen-to-albumin ratioPrognosis

Identifiers

PMID40877970
PMCPMC12395697

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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.