Yapay Zeka Hızlı Bakış & Çıkarımlar
AI InsightA similar result was obtained in validation cohort.Conclusion: MELD-P, as the first model specifically designed to evaluate the risk of mortality in critically ill patients with cirrhosis andpneumonia, performs well on the mortality assessment of short-term mortality.
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Özet
Background/Aims: Critically ill patients with cirrhosis with pneumonia are at an increased risk for mortality. Only a few accurate predictive models are existing specific to these patients. The aim of the present study was to compare the existing prognostic models and todevelop an improved mortality risk model for patients with cirrhosis and pneumonia.Materials and Methods: A total of 231 patients were enrolled in our study (70% training and 30% validation cohorts). All participantswere followed up for at least 21 days. Model for End-stage Liver Disease and Pneumonia (MELD-P) was derived by the Cox proportionalhazards model. The performances of prognostic scoring systems were compared by calculation of the area under the receiver operatingcharacteristic (AUROC) curve.Results: MELD-P showed better discriminative capabilities than existing scoring systems. Four clinical variables, including loge bilirubin(hazard ratio (HR) 1.29, 95% confidence interval (CI) 1.01-1.73), loge international normalized ratio (HR 3.57, 95% CI 1.30-9.78), logepulse oxygen saturation/fraction of inspired oxygen (HR 0.38, 95% CI 0.14-0.99), and vasopressors used (HR 3.72, 95% CI 1.85-7.49),were considered as independent prognostic values associated with 21-day mortality. MELD-P had AUROC curve values of 0.78 (95% CI0.71-0.84) in predicting in-hospital mortality, 0.78 (95% CI 0.70-0.84) at 21-day, 0.88 (95% CI 0.82-0.93) at 14-day, and 0.87 (95% CI0.81-0.92) at 7-day. A similar result was obtained in validation cohort.Conclusion: MELD-P, as the first model specifically designed to evaluate the risk of mortality in critically ill patients with cirrhosis andpneumonia, performs well on the mortality assessment of short-term mortality.