Evidence map›Paper›PMID 41701689›Full record

ArticlePloS one2026

Association between endothelial activation and stress index and mortality in critically ill patients with atrial fibrillation: In MIMIC database: A Retrospective Cohort Study.

Peiling Zuo, Huanhuan Zhu, Chunying Sun, Xiaohan Ma, Sheng Chen, Rong Tang, Tong Wu, Ding Zhang, Xiao Tang, Wenquan Lv and 5 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

15 authors.

Peiling ZuoGraduate School, Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Huanhuan ZhuRuikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Chunying SunGuangxi University of Chinese Medicine, Nanning, Guangxi, China.
Xiaohan MaGraduate School, Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Sheng ChenGraduate School, Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Rong TangRuikang Hospital Affiliated to Guangxi University of Chinese Medicine Intensive Care Unit, Nanning, Guangxi, China.
Tong WuGraduate School, Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Ding ZhangGuangxi University of Chinese Medicine, Nanning, Guangxi, China.
Xiao TangRuikang Hospital Affiliated to Guangxi University of Chinese Medicine Intensive Care Unit, Nanning, Guangxi, China.
Wenquan LvGuangxi Hospital Division of The First Affiliated Hospital, Sun Yat-sen University, Nanning, Guangxi, China.
Wenzhong ChenRuikang Hospital Affiliated to Guangxi University of Chinese Medicine Intensive Care Unit, Nanning, Guangxi, China.
Xiawei WeiRuikang Hospital Affiliated to Guangxi University of Chinese Medicine Intensive Care Unit, Nanning, Guangxi, China.
Encun HouRuikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Minsheng WuRuikang Hospital Affiliated to Guangxi University of Chinese Medicine Intensive Care Unit, Nanning, Guangxi, China.
Minghe JiangRuikang Hospital Affiliated to Guangxi University of Chinese Medicine Intensive Care Unit, Nanning, Guangxi, China.ORCID https://orcid.org/0009-0007-5630-1282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence indicates that the Endothelial Activation and Stress Index (EASIX) is a predictor of mortality in endothelium-related conditions; however, its association with mortality risk in atrial fibrillation (AF) remains uncertain. Accordingly, this study examines the relationship between EASIX and mortality risk among patients with AF.

methodsThis retrospective analysis utilized data from the Medical Information Marketplace in Intensive Care IV (MIMIC-IV) database, which includes critically ill patients diagnosed with AF. To examine the association between EASIX scores and mortality, Kaplan-Meier survival analysis, Cox proportional hazards models, and restricted cubic spline regression were applied to evaluate the relationship between EASIX and all-cause mortality. Subgroup analyses were conducted to explore potential interactions with key patient characteristics, and sensitivity analyses were performed to further confirm the robustness of the results.

resultsA total of 3,193 patients were included in the analysis. KM survival analysis showed that elevated EASIX levels were associated with a higher risk of both in-hospital and ICU mortality. After adjusting for potential confounders, increased EASIX levels remained significantly associated with in-hospital mortality [HR, 1.09 (95% CI 1.03, 1.15), P = 0.0002] and ICU mortality [HR, 1.10 (95% CI 1.04, 1.17), P = 0.0002]. Stratified analyses revealed a significant interaction between sepsis, respiratory failure, and EASIX in relation to both in-hospital and ICU mortality. To evaluate the robustness of the findings, a sensitivity analysis was performed. After additionally adjusting for metoprolol and heparin as covariates, patients in the highest EASIX group continued to demonstrate the greatest mortality risk: the HR for in-hospital death was 2.08 (95% CI: 1.51-2.85), and the HR for ICU death was 1.83 (95% CI: 1.21-2.65).

conclusionElevated EASIX levels correlate with higher mortality rates, underscoring its potential as an accessible tool for identifying high-risk patients and informing clinical decisions. However, further studies are needed to explore the underlying mechanisms and validate its applicability across diverse patient populations.

Indexed as

Atrial FibrillationCritical IllnessEndothelium, VascularStress, PhysiologicalAgedDatabases, FactualFemaleHospital MortalityHumansIntensive Care UnitsKaplan-Meier EstimateMaleMiddle AgedProportional Hazards ModelsRetrospective Studies

Identifiers

PMID41701689
PMCPMC12912572

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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.