Acute circulatory failure-chronic liver failure-sequential organ failure assessment score: a novel scoring model for mortality risk prediction in critically ill cirrhotic patients with acute circulatory failure.

Eur J Gastroenterol Hepatol

Departments of aCardiovascular Medicine, The Heart Center bGastroenterology cEndocrinology dHepatology, Liver Research Center, The First Affiliated Hospital of Wenzhou Medical University eInstitute of Hepatology, Wenzhou Medical University, Wenzhou fDepartment of Critical Care Medicine, Chinese People's Liberation Army General Hospital, Beijing, China gDepartment of Anesthesiology, Intensive Care, Emergency Medicine and Pain Therapy, Ziekenhuis Oost-Limburg, Genk, Belgium.

Published: April 2017

Background And Aim: Acute circulatory failure (ACF) is associated with high mortality rates in critically ill cirrhotic patients. Only a few accurate scoring models exist specific to critically ill cirrhotic patients with acute circulatory failure (CICCF) for mortality risk assessment. The aim was to develop and evaluate a novel model specific to CICCF.

Patients And Methods: This study collected and analyzed the data on CICCF from the Multiparameter Intelligent Monitoring in Intensive Care-III database. The acute circulatory failure-chronic liver failure-sequential organ failure assessment (ACF-CLIF-SOFA) score was derived by Cox's proportional hazards regression. Performance analysis of ACF-CLIF-SOFA against CLIF-SOFA and model for end-stage liver disease systems was completed using area under the receiver operating characteristic curve.

Results: ACF-CLIF-SOFA identified six independent factors: mean arterial pressure [hazard ratio (HR)=0.984, 95% confidence interval (CI): 0.978-0.990, P<0.001], vasopressin (HR=1.548, 95% CI: 1.273-1.883, P<0.001), temperature (HR=0.764, 95% CI: 0.694-0.840, P<0.001), bilirubin (HR=1.031, 95% CI: 1.022-1.041, P<0.001), lactate (HR=1.113, 95% CI: 1.084-1.142, P<0.001), and urine output (HR=0.854, 95% CI: 0.767-0.951, P=0.004). ACF-CLIF-SOFA showed a better predictive performance than CLIF-SOFA and model for end-stage liver disease in terms of predicting mortality (0.769 vs. 0.729 vs. 0.713 at 30 days, 0.757 vs. 0.707 vs. 0.698 at 90 days, 0.733 vs. 0.685 vs. 0.691 at 1 year, respectively, all P<0.05).

Conclusion: ACF-CLIF-SOFA, as the first model specific to CICCF, enables a more accurate prediction at 30-day, 90-day, and 1-year follow-up periods than other existing scoring systems.

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Source
http://dx.doi.org/10.1097/MEG.0000000000000817DOI Listing

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