Evaluation of SOFA-based models for predicting mortality in the ICU: A systematic review
2009

Evaluating SOFA Models for Predicting ICU Mortality

Sample size: 6409 publication Evidence: moderate

Author Information

Author(s): Minne Lilian, Abu-Hanna Ameen, de Jonge Evert

Primary Institution: Academic Medical Center, Amsterdam, The Netherlands

Hypothesis

Can SOFA-based models effectively predict mortality in ICU patients?

Conclusion

SOFA models at admission are competitive with traditional models like APACHE II/III in predicting ICU mortality.

Supporting Evidence

  • Ten studies reported developing a probabilistic prognostic model.
  • Models based on sequential SOFA scores showed comparable performance with other organ failure scores.
  • Combining SOFA derivatives with admission severity scores improved predictions.

Takeaway

Doctors use a score called SOFA to see how sick patients are in the ICU, and this study shows it works pretty well to guess who might not survive.

Methodology

Systematic review of studies evaluating SOFA-based models for predicting mortality in ICU patients.

Potential Biases

Variability in study quality and methods may introduce bias.

Limitations

Heterogeneity of studies makes it hard to draw general conclusions.

Participant Demographics

Patients from various ICUs, with a mean age of 53 to 62 years and 52% to 71% male.

Digital Object Identifier (DOI)

10.1186/cc7160

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