| Literature DB >> 17000808 |
Jan Ehrenwerth1, Alejandro Escobar, Elizabeth A Davis, Gail A Watrous, Gene S Fisch, Zeev N Kain, Paul G Barash.
Abstract
In a prospective, observational study, the attending anesthesiologists' prediction of anesthesia release time (ART) of the patient to the surgical team was highly correlated with actual ART (r = 0.77; P < or = 0.001). However, this was true only in the aggregate (n = 1265 patients). Indeed, offsetting degrees of under- and over-predicting (24% each) reduced accuracy to only 53% per individual case. For example, under-prediction was associated with ASA physical status IV, a regional anesthetic technique, age >65 yr, and the use of invasive hemodynamic monitoring (P = 0.006). In fact, as the degree of case difficulty increased, the correlation coefficient between predicted and actual ART decreased, indicating a poor predictive value with more difficult inductions (r = 0.82 to r = 0.44; P < or = 0.004). We conclude that knowledge of the presence of specific factors that lead to inaccurate predictions of time required for induction of anesthesia may enhance the accuracy of the operating room schedule.Entities:
Mesh:
Year: 2006 PMID: 17000808 DOI: 10.1213/01.ane.0000232445.44641.5f
Source DB: PubMed Journal: Anesth Analg ISSN: 0003-2999 Impact factor: 5.108