Objective To construct a scientific,systematic,and clinically applicable predictive indicator system for feeding intolerance in critically ill patients,providing a basis for early identification of high-risk patients and the development of predictive models. Methods Evidence on existing predictive factors was integrated through a systematic review,and indicators were screened via two rounds of Delphi expert consultation. A meta-analysis of 27 studies was conducted,and 17 experts in critical care medicine,nursing,and nutrition were invited to rate the importance of indicators using the Likert 5-point scale. Indicators were selected based on mean score,coefficient of variation,and full-score rate. Results A predictive indicator system comprising 6 first-level indicators and 29 second-level indicators was established,covering individual characteristics,disease severity,biochemical indicators,treatment factors,nutritional support strategies,and gastrointestinal function factors. The expert authority coefficients were 0.920 and 0.923,and the coordination coefficients were statistically significant(P<0.05). Key indicators,including APACHE Ⅱ score,SOFA score,mechanical ventilation,intra-abdominal pressure,and antral motility index,achieved high consensus. Conclusion This study systematically integrated evidence-based findings and expert consensus to develop a clinically applicable predictive indicator system for feeding intolerance in critically ill patients,providing a scientific foundation for precise nutritional management. Future research should focus on model development and clinical validation to translate the system into practical tools.