Predictors of length of stay after coronary stenting

Background Postprocedure length of stay (LOS) remains an important determinant of medical costs after coronary stenting. Variables that predict LOS in this setting have not been well characterized. Methods We evaluated 359 consecutive patients who underwent coronary stenting with antiplatelet therapy. Sequential multiple linear regression (MLR) models were constructed with use of 4 types of variables to predict log-transformed LOS: preprocedure, intraprocedure, and postprocedure factors and adverse outcomes. Results Preprocedure factors alone explained more than one third of the variability in postprocedure LOS (adjusted R-2 = 0.37). The addition of procedural variables added little to the model (adjusted R-2 = 0.39). Entering nonoutcome postprocedure variables significantly enhanced the predictive capacity of the model, explaining more than half the variability in postprocedure LOS (adjusted R-2 = 0.54). In the final model, addition of outcome variables increased its predictive capacity only slightly (adjusted R-2 = 0.61). In this model, significant preprocedure factors included: myocardial infarction (MI) within 24 hours, MI within 1 to 30 days, women with peripheral vascular disease, intravenous heparin, and chronic atrial fibrillation. High-risk intervention was the only significant intraprocedure variable. Significant postprocedure factors included periprocedure ischemia; cerebrovascular accident or transient ischemic attack; treatment with intravenous heparin or nitroglycerin or intra-aortic balloon pump; and need for blood transfusion. Significant adverse outcomes included contrast, nephropathy, gastrointestinal bleeding, arrhythmia, vascular complication, and repeat angiography. Conclusion This prediction model identifies a number of potentially reversible factors responsible for prolonging LOS. and may enable the development of more accurate risk-adjusted methods with which to improve or compare care.