Development of a predictive nomogram model integrating abdominal CT imaging and clinical parameters for assessing the risk of elevated intra-abdominal pressure
Objective To analyze and identify CT imaging characteristics and clinical indicators that can predict increased intra-abdominal pressure,in order to establish a reliable nomogram for the prediction of intra-abdominal hypertension(IAH).Methods A retrospective collection was made of patients who were admitted to the ICU of Xuzhou Central Hospital from January 2021 to March 2023 and underwent bladder pressure measurement and abdominal CT scans.A total of 58 patients were included in this study,with 25 patients constituting the IAH group and 33 patients forming the non-IAH group.Clinical indicators and CT imaging features of these patients were collected.Logistic regression was used to perform statistical analysis on these clinical and CT imaging characteristics.The results were then used to construct a nomogram,which was validated and judged for clinical value.Results The study found that the transverse to longitudinal ratio of the abdominal wall(P=0.043;OR=3.102;95%CI:1.034-9.307),the ratio of the abdominal cavity to the abdominal wall longitudinal diameter(P=0.002;OR=12.105;95%CI:2.575-56.897)were independently associated with IAH.The AUC of the nomogram prediction model was 0.925.The calibration curve indicated that the predicted probabilities of the nomogram were consistent with the actual probabilities.Decision curve analysis revealed that the nomogram model had good clinical utility within a threshold range of 0.1 to 1.0.The clinical impact curve suggested that the nomogram model was feasible across a broad range of threshold probabilities,particularly notable when the threshold exceeded 0.4.Conclusion Using the abdominal CT imaging features and clinical indicators,a nomogram model is constructed to predict the risk level of IAH in patients,which is helpful to indicate IAH and abdominal compartment syndrome.
万方数据
维普
