BACKGROUND AND AIM: Critically ill @entity82 @entity1 have an increased risk of morbidity and mortality, even after admission to the ICU. Our objectives were to compare the predictive accuracy of @entity3851 ( @entity3851 ), @entity3851 - @entity4024 , UK @entity3851 , and @entity1578 -sequential organ failure assessment ( @entity58049 -SOFA) by the development and validation of an easy-to-use prognostic model [named quick @entity58049 -SOFA (qCLIF-SOFA)] for early risk prediction in @entity3124 @entity1 with @entity82 . @entity1 AND METHODS: Overall, 1460 @entity1 were extracted from the MIMIC-III database and enrolled in this study at 30-day and 90-day follow-up. qCLIF-SOFA was developed in the established cohort (n=730) and a performance analysis was completed in the validation cohort (n=730) using area under the receiver operating characteristic curve. Results were compared with @entity58049 -SOFA. RESULTS: The performance of @entity58049 was significantly better than that of @entity3851 , @entity3851 - @entity4024 , and UK @entity3851 for predicting both 30-day and 90-day mortality (all P<0.05). qCLIF-SOFA consisted of five independent factors ( @entity648 , @entity1011 , international normalized ratio, mean arterial pressure, and vasopressin) associated with mortality. In the established cohort, @entity58049 -SOFA and qCLIF-SOFA predicted mortality with area under the receiver operating characteristic curve values of 0.768 versus 0.743 at 30-day, 0.747 versus 0.744 at 90-day, and 0.699 versus 0.706 at 1 year, respectively (all P>0.05). A similar result was observed in the validation cohort (0.735 vs. 0.734 at 30 days, 0.723 vs. 0.737 at 90 days, and 0.682 vs. 0.700 at 1 year, respectively, all P>0.05). CONCLUSION: The utility of @entity58049 was further shown to predict mortality for @entity3124 @entity82 @entity1 . The novel and simpler qCLIF-SOFA model showed comparable accuracy compared with existing @entity58049 for prognostic prediction.

Quick @entity1578 -sequential organ failure assessment: an easy-to-use scoring model for predicting mortality risk in @entity3124 XXXX @entity1 .

@entity1 :: ('9606', 'Species') :: ['patients', 'PATIENTS'] @entity82 :: ('MESH:D005355', 'Disease') :: ['cirrhosis'] @entity4024 :: ('D012964', 'Chemical') :: ['Na'] @entity58049 :: ('56938', 'Gene') :: ['CLIF', 'CLIF-SOFA'] @entity3124 :: ('MESH:D016638', 'Disease') :: ['critically ill'] @entity648 :: ('MESH:D001663', 'Chemical') :: ['bilirubin'] @entity1578 :: ('MESH:D017093', 'Disease') :: ['chronic liver failure'] @entity3851 :: ('MESH:D058625', 'Disease') :: ['MELD', 'model for end-stage liver disease'] @entity1011 :: ('MESH:D003404', 'Chemical') :: ['creatinine']
@entity82 :: (MESH:D005355,Disease) :: ['cirrhosis']
