ClinicalTrials.gov
public full text
Public Domain
The Study of NT-proBNP Combined With HS-cTnT in Evaluating the Prognosis of Sepsis
To study the clinical value of combined detection of plasma N-terminal pro-brain natriuretic peptide (NT-proBNP) and high-sensitivity troponin T (hs-cTnT) in assessing the prognosis of patients with sepsis. Methods Seventy-three patients with sepsis who were diagnosed and treated in our hospital from June 2016 to March 2021 were divided into general sepsis group and severe sepsis group. According to different outcomes, they were divided into survival Group and death group, to explore the relationship between plasma NT-proBNP, hs-cTnT levels and APACHEⅡ score and the value of prognostic evaluation of sepsis.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Presepsin in the Diagnosis of Sepsis in Critically Ill Patients#994351
- A Cut-off Value Study of N-terminal Brain Natriuretic Peptide (Chemiluminescence Method)#909778
- Clinical Outcomes and Inflammatory Responses in Viral vs. Bacterial Sepsis#1101762
- Plasma proteomics defines two reproducible subphenotypes of sepsis-associated acute kidney injury with distinct outcomes#675935
- Sepsis Multiomic Analysis & Risk sTratification in China#862367
Record · ID 1047244
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive