TY - JOUR
T1 - Predictors of length of stay after coronary stenting
AU - Aronow, Herbert D.
AU - Peyser, Patricia A.
AU - Eagle, Kim A.
AU - Bates, Eric R.
AU - Werns, Steven W.
AU - Russman, Pamela L.
AU - Crum, Martha A.
AU - Harris, Kathi
AU - Moscucci, Mauro
PY - 2001
Y1 - 2001
N2 - 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 R2 = 0.37). The addition of procedural variables added little to the model (adjusted R2 = 0.39). Entering nonoutcome postprocedure variables significantly enhanced the predictive capacity of the model, explaining more than half the variability in postprocedure LOS (adjusted R2 = 0.54). In the final model, addition of outcome variables increased its predictive capacity only slightly (adjusted R2 = 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.
AB - 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 R2 = 0.37). The addition of procedural variables added little to the model (adjusted R2 = 0.39). Entering nonoutcome postprocedure variables significantly enhanced the predictive capacity of the model, explaining more than half the variability in postprocedure LOS (adjusted R2 = 0.54). In the final model, addition of outcome variables increased its predictive capacity only slightly (adjusted R2 = 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.
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U2 - 10.1067/mhj.2001.119371
DO - 10.1067/mhj.2001.119371
M3 - Article
C2 - 11685165
AN - SCOPUS:0034750018
SN - 0002-8703
VL - 142
SP - 799
EP - 805
JO - American Heart Journal
JF - American Heart Journal
IS - 5
ER -