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mNEED: a Multicentre, Cluster-randomized, Controlled Trial
Project Name: Improved Feeding Regimen for Critically Ill Patients (mNEED) Based on Feeding Intolerance Prediction Model Solution version number and version date: Version 5.0; 2024.12.16 Informed consent version number and version date: Version 1.0; 2023.10.19 Dear Patient, Recently, the department participated in a nationwide study to develop nutrition protocols for critically ill patients. Participation in a "Modified Feeding Regimen for Critically Ill Patients Based on a Predictive Model of Feeding Intolerance in Critically Ill Patients (mNEED): a multicenter, cohort randomized, controlled trial" is being invited. Before deciding whether to participate in the study, it is important to read the following information carefully to understand the clinical treatment study, its purpose, procedures, duration, and potential benefits, discomforts, and risks. If desired, the information can be discussed with relatives, friends, or the attending physician to assist in making an informed decision. For any questions, please direct them to the physician in charge of the study. I. Introduction of Clinical Trials Research Background and Purpose Leading international evidence-based guidelines consistently recommend early targeted nutritional therapy for critically ill patients. However, multicenter cluster-randomized controlled trials (cRCTs) evaluating the impact of implementing these guidelines have not demonstrated patient benefit. In 2022, Ke et al. proposed evidence-based Feeding Guidelines for Critically Ill Patients (NEED), which provided a specific feeding regimen for nutritional therapy in critically ill patients. The results suggested that the NEED group initiated enteral nutrition (EN) earlier and reduced the use of overall parenteral nutrition (PN). However, the NEED feeding strategies did not reduce the incidence of feeding intolerance in critically ill patients. In previous studies, a predictive model of feeding intolerance (NOFI) in critically ill patients was
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