Evidence map›Paper›PMID 34141032›Full record

ArticleWorld journal of emergency medicine2021

Prognosis-related classification and dynamic monitoring of immune status in patients with sepsis: A prospective observational study.

Jun Yin, Yao Chen, Jun-Ling Huang, Lei Yan, Zhong-Shu Kuang, Ming-Ming Xue, Si Sun, Hao Xiang, Yan-Yan Hu, Zhi-Min Dong and 3 more

Abstract read
In one paragraph

Article in World journal of emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
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  9. Review
  10. Heat shock protein 90α reduces CD8Cell death discovery · 2024
    Article
  11. Endothelial cell metabolism in sepsis.World journal of emergency medicine · 2023
    Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. High Mobility Group Proteins in Sepsis.Frontiers in immunology · 2022
    Review
  17. 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

13 authors.

Jun YinDepartment of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Yao ChenDepartment of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Jun-Ling HuangDepartment of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Lei YanDepartment of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Zhong-Shu KuangDepartment of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Ming-Ming XueDepartment of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Si SunDepartment of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Hao XiangDepartment of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Yan-Yan HuDepartment of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Zhi-Min DongDepartment of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Chao-Yang TongDepartment of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Chun-Xue BaiDepartment of Respiratory and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Zhen-Ju SongDepartment of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe dynamic monitoring of immune status is crucial to the precise and individualized treatment of sepsis. In this study, we aim to introduce a model to describe and monitor the immune status of sepsis and to explore its prognostic value.

methodsA prospective observational study was carried out in Zhongshan Hospital, Fudan University, enrolling septic patients admitted between July 2016 and December 2018. Blood samples were collected at days 1 and 3. Serum cytokine levels (e.g., tumor necrosis factor-α [TNF-α], interleukin-10 [IL-10]) and CD14

resultsA total of 174 septic patients were enrolled including 50 non-survivors. Multivariate analysis discovered that IL-10 and HLA-DR expression levels at day 3 were independent prognostic factors. Patients with MARS had the highest mortality rate. Immune status of 46.1% patients changed from day 1 to day 3. Among four groups of immune status changes, DT had the highest mortality rate, followed by NR, RM, and SB with mortality rates of 64.7%, 42.9%, and 11.2%, respectively.

conclusionsSevere immune disorder defined as MARS or deterioration of immune status defined as DT lead to the worst outcomes. The preliminary model of the classification and dynamic monitoring of immune status based on immune markers has prognostic values and is worthy of further investigation.

Indexed as

CytokineImmune dysfunctionImmune status classificationInfectious disease

Identifiers

PMID34141032
PMCPMC8188286

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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.