Evidence map›Paper›PMID 39618931›Full record

ArticleJournal of inflammation research2024

Predictive Value of SYN-1 Levels for Mortality in Sepsis Patients in the Emergency Department.

Le Hu, Jia Wang, Ye Zhang, Junyu Wang, Bing Wei

Abstract read
In one paragraph

Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

The trial behind it

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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

1 citing paper in PubMed.

  1. Observational
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

5 authors.

Le HuEmergency Medical Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People's Republic of China.
Jia WangEmergency Medical Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People's Republic of China.
Ye ZhangEmergency Medical Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People's Republic of China.
Junyu WangEmergency Medical Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People's Republic of China.
Bing WeiEmergency Medical Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0001-9340-1409

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate and predict adverse outcomes associated with serum Syndecan-1 (SYN-1) levels in patients with early sepsis, and to explore the prognostic risk factors in sepsis and septic shock. Methods: This retrospective single-center observational study included 168 sepsis patients admitted to the Emergency Department of Beijing Chao-Yang Hospital Shijingshan Branch, Capital Medical University, from October 2020 to October 2021. Patients were categorized into sepsis (n=114) and septic shock (n=54) groups based on Sepsis 3.0 criteria. They were further divided into survival (n=128) and death (n=40) groups. Comparative analyses included general demographics and laboratory findings (SYN-1, lactic acid [LAC], procalcitonin [PCT], C-reactive protein [CRP]) within 3 hours of admission, as well as Acute Physiology and Chronic Health Evaluation II (APACHE II) and Sequential Organ Failure Assessment (SOFA) scores. Statistical methods included receiver operating characteristic (ROC) curve analysis, correlation analysis, and logistic regression. Results: Serum SYN-1 levels were significantly higher in the septic shock group (138.89±9.26) compared to the sepsis group (102.89±8.97) (P < 0.05). SYN-1 levels were also significantly higher in the death group (150.19±7.65) compared to the survival group (103.301±86.59) (P < 0.05). The area under the ROC curves for SYN-1, LAC, and APACHE II scores in predicting 28-day mortality were 0.668, 0.641, and 0.666, respectively. SYN-1 showed a positive correlation with SOFA scores (correlation coefficient=0.228). SYN-1, APACHE II score, and LAC were identified as independent risk factors for 28-day mortality in sepsis patients. Conclusion: SYN-1 demonstrates high sensitivity and specificity in early prediction of poor outcomes in sepsis patients. SYN-1, APACHE II score, and LAC serve as independent risk factors for 28-day mortality in sepsis patients.

Indexed as

sepsisseptic shockSyndecan-1

Identifiers

PMID39618931
PMCPMC11608034

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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.