Evidence map›Paper›PMID 41938896›Full record

ArticleAnnals of intensive care2026

Identification of distinct immune subtypes in sepsis through dual immunomarker trajectory.

Fei Pei, Ning Liu, Jun Yuan, Yin Liu, Rui Shi, Xiang Si, Zihuai Liao, Qiaohan Liu, Jingyi Wen, Qing Fu and 9 more

Abstract read
In one paragraph

Article in Annals of intensive care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Fei PeiDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China.
Ning LiuDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China.
Jun YuanDepartment of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei 230031, P.R. China.
Yin LiuDepartment of Laboratory Medicine, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, P.R. China.
Rui ShiDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China.
Xiang SiDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China.
Zihuai LiaoDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China.
Qiaohan LiuDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China.
Jingyi WenDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China.
Qing FuDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China.
Yawen ZhuDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China.
Guangzhen LiDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China.
Sivasubramanium V BhavaniDepartment of Medicine, Emory University, Atlanta, GA, United States of America.
Min ShaoDepartment of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei 230031, P.R. China.
Bin GuDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China.
Luhao WangDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China.
Jianfeng WuDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China.
Xiangdong GuanDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China.
China Critical Care Immunotherapy Research Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While endotyping approaches have enhanced precision immunotherapy in sepsis, their temporal instability limits consistent clinical application. To overcome this challenge, the current study utilizes longitudinal immune markers to derive clinically relevant classifications. Methods: This study included three cohorts of 3,223 adult septic patients with at least three measurements of two readily available longitudinal immune markers, C-reactive protein (CRP) and absolute lymphocyte count (ALC), within four days following ICU admission. Group-based multi-trajectory modeling was used to cluster sepsis patients based on the dynamic changes of CRP and ALC to identify potential immune subgroups. Comparisons of clinical characteristics, hospital mortality, and persistent inflammation immunosuppression catabolism syndrome (PICS) incidence were made across the derived subgroups. We further characterized the immune-specific properties of each subgroup using 28 immune markers. Results: Based on the optimal classification, 471 sepsis patients in the derivation cohort were categorized into three subgroups: immune homeostasis subgroup (n = 39, 8.3%), immunosuppression subgroup (n = 180, 38.2%), and immune imbalance subgroup (n = 252, 53.5%). This classification remained robust upon validation in both internal (n = 2,527) and external (n = 225) cohorts. Differences in clinical profiles were observed in these subgroups: the immune homeostasis subgroup had the mildest disease severity with the lowest rates of PICS and mortality; the immunosuppression subgroup featured more chronic comorbidities, longer hospital stays, and higher mortality; while the immune imbalance subgroup exhibited the most critical condition, with more complications, longer ICU stays, and the highest incidence of PICS and mortality. Immune features revealed distinct subtype properties: the immune homeostasis subgroup exhibited inflammatory resolution and near-normal immunity; the immunosuppression subgroup characterized by a general reduction in lymphocyte subsets, persistent early T-cell activation, and the highest degree of T cell inhibition; and the immune imbalance subgroup showed a cytokine storm alongside the most severely impaired innate and adaptive immunity, as indicated by markedly low monocyte human leukocyte antigen-DR (mHLA-DR) expression and deficient late T cell activation. Conclusions: This study presents a practical immunological classification for sepsis based on the longitudinal dynamics of two immune markers. These immune subtypes complement existing consensus endotypes and provide a simple, clinically actionable approach particularly applicable in resource-limited settings.

Indexed as

C reactive proteinGroup-based multi-trajectory modelingImmunosuppressionLymphocyteSepsis

Identifiers

PMID41938896
PMCPMC13045546

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.