Why the study?
Can a predictive index using preoperative information accurately predict the length of stay in the ICU following cardiac surgery?
Can a predictive index using preoperative information accurately predict the length of stay in the ICU following cardiac surgery?
A simple preoperative index can predict longer ICU stays after cardiac surgery, though its low specificity may limit its utility for individual patients.
Comment: This carefully conducted study in a single institution demonstrates that longer lengths of ICU stay after cardiac surgery can be predicted with reasonable accuracy using simple preoperative information. Most of the factors that increase the length of ICU stay were relatively predictable. Old age, severe reduction in left ventricular function, urgent or emergency surgery, and cardiac surgery other dian simple coronary artery bypass graft were associated with longer lengths of stay. It was interesting that some risk factors did not improve the predictability of the model, e.g., reoperation, New York Heart Association class, and comorbidity. This relatively simple index may prove to be useful if validated on other patient populations. However, there were significant numbers of outliers in most risk categories. Therefore, it may have a low specificity for use in individual patients.
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Tu et al. (1995) studied this question.
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