ClinicalTrials.gov
public full text
Public Domain
Analysis of Risk Factors and Prognostic Predictive Value in Sepsis Patients With Nutritional Risk
Sepsis is a common critical illness in intensive care units, characterized by systemic inflammatory response, immune dysfunction, microcirculatory issues, and multi-organ failure. These factors lead to high mortality rates and poor prognoses for patients. Nutritional risk is a significant complication in patients with sepsis, with a prevalence of 38% - 78. Sepsis-induced hypermetabolism and hypercatabolism result in increased energy expenditure and accelerated protein breakdown in affected patients, which subsequently exacerbates the risk of malnutrition. Malnutrition weakens immune function, reduces resistance to infections, and impairs immune regulation in sepsis patients. It worsens organ dysfunction, prolongs ICU hospitalization, and increases morbidity and mortality rates. Early identification and intervention for potential risk factors in patients with sepsis, particularly those with nutritional risk, is crucial for enhancing their prognosis. There is a notable lack of sensitive indicators for assessing the prognosis of sepsis patients at nutritional risk. Recent studies have begun exploring physical assessment measures in ICU settings as accessible and noninvasive tools for evaluation. This study aims to investigate the predictive value of nutritional laboratory indicators and physical measurements regarding the 28-day outcomes of ICU patients with sepsis and nutritional risk, providing a foundation for early clinical intervention.
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
- Clinical significance of controlling nutritional status score in predicting ICU admission, prolonged hospitalization, and in-hospital mortality in emergency sepsis: a single-center retrospective study.#1158829
- Development and internal validation of a prediction model incorporating SOFA, Prognostic Nutritional Index, and Neutrophil-to-Albumin Ratio for early prediction of in-hospital mortality in patients with Sepsis: A single-center retrospective study#416070
- Development and Interpretability Analysis of a Stacking Ensemble Model for Early Prediction of Nutritional Risk in Intensive Care Unit Patients: Retrospective Cohort Study.#258101
- How Well do we Feed the Critically Ill Patients#1164890
- Presepsin in the Diagnosis of Sepsis in Critically Ill Patients#994351
Record · ID 1074775
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