Evidence map›Paper›PMID 41676092›Full record

ArticleFrontiers in medicine2026

The endothelial activation and stress index as a predictor of 28-day mortality in pulmonary sepsis: a retrospective two-cohort analysis.

Chunxia Yang, Shiting Zhou, Chunyan Wen, Jun Chen

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

4 authors.

Chunxia YangDepartment of Respiratory and Critical Care Medicine, Zhejiang Provincial People's Hospital Bijie Hospital, Bijie, China.
Shiting ZhouDepartment of Respiratory and Critical Care Medicine, Zhejiang Provincial People's Hospital Bijie Hospital, Bijie, China.
Chunyan WenDepartment of Respiratory and Critical Care Medicine, Zhejiang Provincial People's Hospital Bijie Hospital, Bijie, China.
Jun ChenDepartment of Respiratory and Critical Care Medicine, Zhejiang Provincial People's Hospital Bijie Hospital, Bijie, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Endothelial Activation and Stress Index (EASIX) is an emerging biomarker that serves as a straightforward and objective measure of systemic endothelial dysfunction and critical illness severity. This study aims to evaluate the prognostic value of EASIX for 28-day mortality in patients with pulmonary sepsis. Materials and methods: This retrospective study utilised a two-cohort design. The internal cohort was derived from MIMIC-IV; an external cohort was derived from a tertiary hospital (2022-2025). The association between the EASIX and 28-day mortality was evaluated using multivariable Cox regression, restricted cubic spline (RCS) analysis, and Kaplan-Meier survival curves. An ensemble machine-learning approach (Boruta, LASSO-COX, XGBoost, and SVM) was employed for feature selection. Significant predictors were incorporated into a multivariate Cox model to construct a prognostic nomogram. The model's discriminative performance was assessed using receiver operating characteristic (ROC) curves and the area under the curve (AUC), and compared against conventional severity scores. Results: A total of 5,416 patients were analyzed. In multivariable adjusted models, the EASIX emerged as an independent predictor of short term mortality. Each unit increase in EASIX was associated with a 7% higher risk of 28-day ICU death (HR 1.07, 95% CI 1.05-1.11, Conclusion: EASIX is a potent and independent predictor of short-term mortality in pulmonary sepsis. Its integration into a pragmatic prognostic model enhances early risk stratification, highlighting its potential as a readily available clinical tool.

Indexed as

endothelial activation and stress indexintensive carepneumoniapulmonary sepsisrisk stratification

Identifiers

PMID41676092
PMCPMC12886393

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.