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. 2023 Aug 17;18(1):20220639.
doi: 10.1515/biol-2022-0639. eCollection 2023.

Significance of sTREM-1 and sST2 combined diagnosis for sepsis detection and prognosis prediction

Yongjun Wei  1 , Ping Xiao  1 , Benjuan Wu  1 , Fuxi Chen  2 , Xiaofeng Shi  1
Affiliations

Significance of sTREM-1 and sST2 combined diagnosis for sepsis detection and prognosis prediction

Yongjun Wei et al. Open Life Sci. .

Abstract

The diagnosis of sepsis still lacks a practical and reliable gold standard. The purpose of this study was to confirm the effect of soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) combined with soluble suppression of tumorigenicity 2 (sST2) in the diagnosis of sepsis through the correlation between sTREM-1, sST2, and sequential organ failure assessment (SOFA) scores. Baseline data of 91 patients with sepsis in the intensive care unit were collected, sTREM-1 and sST2 were detected, and the correlation between markers and SOFA score was analyzed. Besides, the prognostic value of baseline and postadmission indicators for sepsis was analyzed with death as the outcome. The results showed that the expressions of sST2 and sTREM-1 in death group and survival group were higher than those in the survival group (p < 0.05). Correlation analysis showed that sST2, sTREM-1, and the joint diagnosis model had a high correlation with SOFA score (p < 0.05), but poor correlation with Acute Physiology and Chronic Health Evaluation Ⅱ score (p > 0.05). Among them, joint diagnosis model has the highest correlation. Receiver operating characteristic curve analysis showed that combined diagnosis had higher area under curve values. sTREM-1/sST2 can be better used in the diagnosis of sepsis than the single biomarker detection, and the combination of the above two biomarkers has potential application value in the detection and prognosis prediction of sepsis.

Keywords: biomarker; diagnosis; sepsis; soluble suppression of tumorigenicity 2; soluble triggering receptor expressed on myeloid cells-1.

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Conflict of interest statement

Conflict of interest: Authors state no conflict of interest.

Figures

None
Graphical abstract
Figure 1
Figure 1
Comparison of sST2 and sTREM-1 contents between death group (n = 22) and survival group (n = 69). p values less than 0.05, 0.01, and 0.001 are indicated by *, **, and ***, respectively.
Figure 2
Figure 2
Correlation between sTREM-1, sST2, CDF, and SOFA/APACHE Ⅱ scores (n = 91). Using Spearman correlation test, correlation coefficient (R) and p value are given in the picture.
Figure 3
Figure 3
Prognostic prediction of sST2, sTREM-1, and CDFs in sepsis (n = 91). ROC analysis curves (a) day 1, (b) day 3, (c) day 5, and (d) day 7.
See this image and copyright information in PMC

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References

    1. Singer M, Deutschman CS, Seymour CW, Shankar-Hari M, Annane D, Bauer M, et al. The third international consensus definitions for sepsis and septic shock (Sepsis-3). JAMA. 2016;315(8):801–10. - PMC - PubMed
    1. van der Poll T, Shankar-Hari M, Wiersinga WJ. The immunology of sepsis. Immunity. 2021;54(11):2450–64. - PubMed
    1. Lv X, Wang H. Pathophysiology of sepsis-induced myocardial dysfunction. Mil Med Res. 2016;3:30. - PMC - PubMed
    1. Martin L, Derwall M, Al Zoubi S, Zechendorf E, Reuter DA, Thiemermann C, et al. The septic heart: Current understanding of molecular mechanisms and clinical implications. Chest. 2019;155(2):427–37. - PubMed
    1. Rudd KE, Johnson SC, Agesa KM, Shackelford KA, Tsoi D, Kievlan DR, et al. Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global burden of disease study. Lancet. 2020;395(10219):200–11. - PMC - PubMed

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