Open Access

The utility of the SOFA score for predicting mortality in critically ill cirrhotic patients receiving liver transplantation

Critical Care201317:426

https://doi.org/10.1186/cc12577

Published: 16 April 2013

Karvellas and colleagues [1] conducted a multi-center retrospective cohort study to examine, among other things, the prognostic value of the Sequential Organ Failure Assessment (SOFA) score for predicting 90-day mortality in critically ill cirrhotic patients receiving liver transplantation. They conclude that the SOFA score at admission, at 48 hours and at liver transplantation was not independently associated with the outcome. This association could potentially play a role in future predictive models, although such models will be restricted to patients for which transplantation decisions would have already been made.

In our systematic review [2] we noted the usefulness of predictors of mortality that were based on changes in the SOFA (sub)scores over time. Changes in (other) variables were also recently attempted in an acute liver failure cohort [3] and their added prognostic value was shown. It might have been useful to investigate in the study of Karvellas and colleagues [1] the utility of such SOFA-related changes (including organ failure patterns [4]), although the missing values (for example, 44% at 48 hours) would have imposed an even larger problem. Imputation (for example, based on values on adjacent days) may perhaps mitigate this problem.

In addition, although the goal in the study of Karvellas and colleagues [1] is not to develop a new prediction model per se, it would have been informative to report on validation (internal, temporal and/or external) using various performance measures such as the area under the (receiver operating characteristic) curve (AUC) and the Brier score as recommended by the assessment framework used in [5].

Perhaps the SOFA-score deserves a second chance after all.

Abbreviations

SOFA: 

Sequential Organ Failure Assessment.

Declarations

Authors’ Affiliations

(1)
Department of Medical Informatics, Academic Medical Center, University of Amsterdam

References

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Copyright

© BioMed Central Ltd 2013

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