Evidence map›Paper›PMID 41273150›Full record

ArticleLaboratory medicine2026

sTREM-1 as a biomarker for sepsis diagnosis and prognosis following abdominal surgery.

Patricia Bautista-Carbajal, Juan Pedro Chávez-Pérez, Miguel Leonardo García-León, José Arturo Cabrera-Sánchez, Neyla Baltazar-López, Felipe Rafael Zaldivar-Ramirez, Rosa María Wong-Chew

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Article in Laboratory medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Patricia Bautista-CarbajalFacultad de Medicina, Infectious Diseases Research Laboratory, Research Division, Universidad Nacional Autónoma de México, Ciudad de México, México.
Juan Pedro Chávez-PérezSurgery Department, Intensive Care Unit and Central Laboratory, Hospital General de México "Dr Eduardo Liceaga," Ciudad de México, México.
Miguel Leonardo García-LeónFacultad de Medicina, Infectious Diseases Research Laboratory, Research Division, Universidad Nacional Autónoma de México, Ciudad de México, México.
José Arturo Cabrera-SánchezFacultad de Medicina, Infectious Diseases Research Laboratory, Research Division, Universidad Nacional Autónoma de México, Ciudad de México, México.
Neyla Baltazar-LópezSurgery Department, Intensive Care Unit and Central Laboratory, Hospital General de México "Dr Eduardo Liceaga," Ciudad de México, México.
Felipe Rafael Zaldivar-RamirezSurgery Department, Intensive Care Unit and Central Laboratory, Hospital General de México "Dr Eduardo Liceaga," Ciudad de México, México.
Rosa María Wong-ChewFacultad de Medicina, Infectious Diseases Research Laboratory, Research Division, Universidad Nacional Autónoma de México, Ciudad de México, México.ORCID 0000-0002-3582-5120

Funding

Faculty of Medicine, Universidad Nacional Autónoma de MéxicoPrograma de Becas Posdoctorales en la UNAM, Dirección General de Asuntos del Personal Académico, Universidad Nacional Autonoma de MexicoResearch Division, Hospital General de México "Dr Eduardo Liceaga,"
6 · The paper itself

Abstract

introductionSepsis represents a critical response to infection; it is characterized by systemic inflammation, shock, and potential organ failure. Soluble triggering receptor expressed on myeloid cells 1 (sTREM-1) has been identified as a crucial marker in sepsis, connecting the activation of innate immunity to systemic inflammation.

methodsThis prospective nested case control study was carried out in the intensive care unit and surgery department from March 2018 to June 2019. Adults undergoing abdominal surgery, with and without sepsis, were included in the study, and sTREM-1 and cytokine levels were measured.

resultsA total of 120 patients were included in the study, comprising 31 noninfected individuals, 37 with sepsis, and 52 with septic shock. sTREM-1 levels were statistically significantly elevated in patients with sepsis and septic shock compared with noninfected individuals (P < .001). Receiver operating characteristic curve analysis revealed an area under the curve of 0.722 for sTREM-1 in the prediction of septic shock. DISCUSSION: Elevated sTREM-1 levels are associated with the severity of sepsis and may function as a prognostic biomarker. Additional research is required to confirm these findings and investigate therapeutic interventions aimed at the sTREM-1 pathway.

Indexed as

AbdomenSepsisTriggering Receptor Expressed on Myeloid Cells-1AdultAgedBiomarkersCase-Control StudiesFemaleHumansMaleMiddle AgedPrognosisProspective StudiesROC CurveBiomarkersTREM1 protein, humanTriggering Receptor Expressed on Myeloid Cells-1after surgerydiagnosis and prognosissepsissTREM1

Identifiers

PMID41273150
PMCPMC12831532

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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.