Inflammatory and Metabolic Prognostic Assessment in Critically Ill Neurological Patients

Overview

The study aims to develop and validate a prognostic prediction model for adverse outcomes in neurocritical patients receiving enteral nutrition based on key inflammatory and metabolic markers. This model will serve as a clinical tool to help physicians identify high-risk patients and guide individualized nutritional support strategies.

A multi-center, prospective case data collection study will be conducted across 19 tertiary hospitals in China. Based on this, a predictive assessment model for poor prognosis in neurocritically ill patients receiving enteral nutrition support will be developed and validated, using key inflammatory and metabolic markers. During the data collection process, comprehensive clinical information will be extracted, including patient demographic data, clinical indicators, and hematological markers. By conducting in-depth analysis and processing of this vast and detailed clinical and laboratory data, a nomogram for predicting poor prognosis in neurocritical care patients receiving enteral nutrition support will be constructed using statistical methods and data analysis techniques in R. Once the model is built, it will undergo rigorous validation on an independent external dataset to ensure its accuracy and reliability. The goal is to create a precise assessment tool for clinicians, helping them to quickly and accurately identify high-nutritional-risk patients, thereby providing a solid scientific foundation for the formulation of individualized nutrition support strategies, ultimately improving the prognosis of neurocritical patients.

Conditions

Eligibility

Locations (19)

Outcomes

Central Contacts