Predictive value of PD-1+CD3+ T cells for 30-day mortality in patients with sepsis

Increased expression of programmed cell death protein-1 (PD-1) on T lymphocyte subsets is associated with sepsis immunosuppression and offers potential biomarkers for prognosis. However, few studies have assessed the effect of PD-1 expression on CD3<sup>+</sup> T lymphocytes in predicting sepsis. The aim of this study was to investigate the relationship between PD-1 expression on CD3<sup>+</sup> T lymphocytes and 30-day mortality in patients with sepsis. A total of 180 patients with sepsis, comprising 117 survivors and 63 non-survivors, were included in the analysis. Lymphocyte counts and PD-1 expression on T lymphocytes were quantified in peripheral blood samples through the application of flow cytometry. Regression models, receiver-operating characteristic curves (ROC) and reclassification analyses were performed to assess the relationship between the biomarkers under investigation and 30-day mortality. Results showed the level of PD-1 expressing CD3<sup>+</sup> T cells was obviously increased in the non-survivor group compared with the group that survived (P < 0.05). Based on multiple logistic regression analysis, PD-1<sup>+</sup>CD3<sup>+</sup>T cells (OR = 1.02, P < 0.05), SOFA score (OR = 1.20, P < 0.05) and APACHE II score (OR = 1.14, P < 0.05) were independent risk factors for mortality of sepsis. PD-1<sup>+</sup>CD3<sup>+</sup> T cells showed an area under the curve(AUC) of 0.623(95% CI, 0.534-0.713) in predicting sepsis mortality. AUCs for SOFA and APACHE II scores were 0.706 (95% CI, 0.624-0.789) and 0.784 (95% CI, 0.714-0.854), respectively. Adding PD-1<sup>+</sup>CD3<sup>+</sup> T cells to the SOFA and APACHE II scoring systems significantly improved predictive accuracy, with an AUC enhancement and a top Youden's index of 0.553. The Cox regression analysis revealed significantly lower 30-day survival rates in patients with high PD-1 expressing CD3<sup>+</sup> T cells (> 36.56%). PD-1 expression on CD3<sup>+</sup>T lymphocytes can serve as a promising prognostic biomarker in sepsis patients, enhancing the predictive accuracy of APACHE II and SOFA scores.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-10-21
DOI
https://doi.org/10.1038/s41598-025-20299-w
Citations
1
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictive value of PD-1+CD3+ T cells for 30-day mortality in patients with sepsis

Suming Zhang, Yancun Liu, Yanfen Chai, Peng Zhang et al.
1 citations
Scientific Reports
Sepsis Diagnosis and Treatment
1.35
article

Predictive value of PD-1+CD3+ T cells for 30-day mortality in patients with sepsis

Suming Zhang, Yancun Liu, Yanfen Chai, Peng Zhang, Bo Wang, Lei Meng
article en
1 citations

Abstract

Increased expression of programmed cell death protein-1 (PD-1) on T lymphocyte subsets is associated with sepsis immunosuppression and offers potential biomarkers for prognosis. However, few studies have assessed the effect of PD-1 expression on CD3<sup>+</sup> T lymphocytes in predicting sepsis. The aim of this study was to investigate the relationship between PD-1 expression on CD3<sup>+</sup> T lymphocytes and 30-day mortality in patients with sepsis. A total of 180 patients with sepsis, comprising 117 survivors and 63 non-survivors, were included in the analysis. Lymphocyte counts and PD-1 expression on T lymphocytes were quantified in peripheral blood samples through the application of flow cytometry. Regression models, receiver-operating characteristic curves (ROC) and reclassification analyses were performed to assess the relationship between the biomarkers under investigation and 30-day mortality. Results showed the level of PD-1 expressing CD3<sup>+</sup> T cells was obviously increased in the non-survivor group compared with the group that survived (P < 0.05). Based on multiple logistic regression analysis, PD-1<sup>+</sup>CD3<sup>+</sup>T cells (OR = 1.02, P < 0.05), SOFA score (OR = 1.20, P < 0.05) and APACHE II score (OR = 1.14, P < 0.05) were independent risk factors for mortality of sepsis. PD-1<sup>+</sup>CD3<sup>+</sup> T cells showed an area under the curve(AUC) of 0.623(95% CI, 0.534-0.713) in predicting sepsis mortality. AUCs for SOFA and APACHE II scores were 0.706 (95% CI, 0.624-0.789) and 0.784 (95% CI, 0.714-0.854), respectively. Adding PD-1<sup>+</sup>CD3<sup>+</sup> T cells to the SOFA and APACHE II scoring systems significantly improved predictive accuracy, with an AUC enhancement and a top Youden's index of 0.553. The Cox regression analysis revealed significantly lower 30-day survival rates in patients with high PD-1 expressing CD3<sup>+</sup> T cells (> 36.56%). PD-1 expression on CD3<sup>+</sup>T lymphocytes can serve as a promising prognostic biomarker in sepsis patients, enhancing the predictive accuracy of APACHE II and SOFA scores.

Scientific ReportsVol. 15(1)
Xuzhou Medical College (CN), Tianjin Medical University General Hospital (CN), Shandong Provincial Hospital (CN), Shandong First Medical University (CN)
Openalex Percentile: Top 15%
Sepsis Diagnosis and Treatment
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.