Background: In established risk score models the collection and documentation of clinical data is time-consuming, causes labor-related costs, and is dependent on the examiner.
Material and methods: Based on low-cost laboratory parameters that are routinely measured at admission to the intensive care unit, a new score was developed (n = 271, study sample) and validated in an independent group of patients (n = 283, validation sample). Parameters were selected by a stepwise logistic regression analysis. This new score was compared to established risk models (APACHE II, SAPS II).
Results: Mean age was 61.3 +/- 1.2 years (study sample) and 63.1 +/- 1.1 years (validation sample), respectively. In-hospital mortality was 24.7% (67/271, study sample) and 23.3% (66/283, validation sample). The following parameters were used to build the new score called Dense Laboratory Whole Blood Applied Risk Estimation (DELAWARE): alanine aminotransferase, C-reactive protein, cholesterol, creatine kinase MB, leukocytes, potassium, thrombocytes, triglycerides, and age. The areas under the curves were 0.853/0.813 (study sample/validation sample). In the study sample DELAWARE correlated with APACHE II (r = 0.586) and SAPS II (r = 0.614; p < 0.001), respectively.
Conclusions: A general admission risk score for surgical intensive care patients solely based on quality controlled low-cost routine laboratory parameters is feasible.
(c) 2008 S. Karger AG, Basel