Objective: To explore the value of multi-organ bedside ultrasound in off-line evaluation of critically ill patients. Methods: From October 2021 to October 2023, 200 critically ill patients who were treated with mechanical ventilation in the intensive care unit of our hospital were retrospectively included as the research object. General data of patients were collected, and all subjects were examined by multi-organ bedside ultrasound. Logistic regression was used to analyze the influencing factors of patients" offline failure. Receiver operating characteristic curve (ROC) curve analysis of the predictive value of multi-organ bedside ultrasound in critically ill patients off-line. Results: The left ventricular ejection fraction (LVEF), diaphragmatic thickening rate (DTF) and diaphragm displacement (DE) in the off-line failure group were lower than those in the off-line success group, and the lung ultrasound score (LUS) was higher than those in the off-line success group (P<0.05). Multivariate logistics regression analysis showed that LUS was the risk factor of offline failure (P<0.05), LVEF, DTF and DE were the protective factors of offline failure (P<0.05). The ROC results showed that the AUC of LVEF, LUS, DTF, DE and their combination in predicting offline failure of critically ill patients were 0.767, 0.756, 0.814, 0.777 and 0.945. The comparison of the area under the curve shows that the joint prediction is better than the single prediction (z=5.224, 5.435, 4.755, 5.725, P<0.05). Conclusion: Multi-organ combined with bedside ultrasound has certain predictive value in off-line evaluation of critically ill patients.