A mortality prediction model was developed for patients with intra-abdominal hypertension (IAH) utilizing abdominal perfusion pressure (APP) and advanced AI techniques. The study analyzed 1,354 patients, revealing that APP < 60 mmHg was linked to higher mortality rates within 7 to 90 days. The machine learning model demonstrated an AUC of 0.80, outperforming traditional clinical scoring systems. These findings emphasize the critical role of APP in predicting short-term mortality in IAH patients.
Journal Article by Xu L, Zhao W (…) Qiu Y et 7 al. in Int J Surg
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