Abstract:Objective To analyze risk factors and construct a prediction model for acute gastrointestinal injury (AGI) in severe chronic obstructive pulmonary disease (COPD) patients requiring mechanical ventilation.Methods A total of 91 severe COPD patients receiving mechanical ventilation at Chongzhou People's Hospital from June 2019 to June 2024 were enrolled. Participants were stratified into two groups: AGI group (n = 22) and non-AGI group (n = 69). Clinical variables were compared using univariate analysis, and statistically significant factors were incorporated into a multivariate stepwise Logistic regression model. A nomogram prediction model was developed and its efficacy validated.Results The AGI group exhibited significantly prolonged intubation duration (P < 0.05), higher APACHE Ⅱ scores (P < 0.05), lower PaO?/FiO? ratios (P < 0.05), and increased incidence of ventilator-associated pneumonia (VAP) and multilobar lung involvement compared to the non-AGI group (both P < 0.05). Multivariate analysis identified independent risk factors: prolonged intubation [O^R = 0.096 (95% CI: 0.014, 0.637) ], VAP [O^R = 8.226 (95% CI: 1.980, 34.180) ], multilobar involvement [O^R = 9.411 (95% CI: 1.961, 45.163) ], elevated APACHE Ⅱ score [O^R = 3.267 (95% CI: 1.171, 9.113) ], and reduced PaO? / FiO? ratio [O^R = 0.053 (95% CI: 0.008, 0.344) ] (all P < 0.05). The nomogram demonstrated excellent discrimination (AUC = 0.980) with sensitivity of 95.5% (95% CI: 0.772, 0.999) and specificity of 95.7% (95% CI: 0.878, 0.991), coupled with favorable calibration.Conclusion Prolonged intubation, VAP, multilobar lung involvement, high APACHE Ⅱ scores, and impaired oxygenation are independent predictors of AGI in mechanically ventilated COPD patients. The validated nomogram provides a clinically actionable tool for early risk stratification.