To identify and quantitate complications occurring in the postanesthesia care unit (PACU), a prospective study evaluated 18,473 consecutive patients entering a PACU at a university teaching hospital. Using a standardized collection form, the incidence of intraoperative and PACU complications was determined. The combined PACU and intraoperative complication rate was 26.7%. Data showed a PACU complication rate of 23.7%, with an overall intraoperative complication rate of 5.1%. Nausea and vomiting (9.8%), the need for upper airway support (6.9%), and hypotension requiring treatment (2.7%) were the most frequently encountered PACU complications. Patients in whom PACU complications developed were analyzed by ASA physical status. Of all patients experiencing nausea and vomiting (n = 1571), the highest percentage were ASA physical status II patients (n = 831). Likewise, in the group of 1450 patients who demonstrated a need for upper airway support, 792 were ASA physical status II. In patients experiencing a major cardiovascular complication, for example, variables associated with a greater risk of developing any PACU complications were ASA physical status (status II), duration of anesthesia (2-4 h), anesthetic technique, emergency procedures, and certain types of surgical procedures (orthopedic or abdominal). For patients admitted with a temperature of less than 35 degrees C the duration of the PACU stay was 152 +/- 46 min compared with 116 +/- 65 min for patients with a temperature greater than or equal to 36 degrees C (P less than 0.01). In conclusion, events occurring during the PACU period continue to be a source of patient morbidity.

Efforts to improve operating room efficiency may threaten clinician training. Therefore, we designed a prospective, observational study to determine the actual time spent teaching anesthesiology residents during the interval from patient-on-table to skin incision and to determine whether anesthesia teaching in the peri-induction period increases the time to surgical incision. This study was conducted in an inpatient operating room suite of a tertiary academic medical center. Of 1558 cases examined, 75% had an element of teaching (mean percent teaching per case = 46.4). A 33% decrease in teaching occurs when the attending anesthesiologist concurrently directed care in 2 rooms (P < 0.001). The percent teaching significantly increased as a function of ASA physical status classification and time of day of surgical case (P = 0.001). Teaching accounted for a mean increase of time to incision of 4.5 +/- 3.2 min, but represented only 3% of the mean surgical case length (207 +/- 132 min). We conclude that teaching occurs in the majority of cases in the operating room and although it contributes to increased time to incision, this increase is insignificant compared with the time required to complete the surgical procedure.

Intense production pressure has focused on the preincision period (from patient-on-table to incision) as an important component of overall operating room efficiency. We conducted a prospective study in which trained independent observers measured the performance of anesthesiologists, surgeons, and nursing staff to determine anesthesia release time (ART, patient-on-table until release for surgical preparation) and surgical preparation time (SPT, start surgical preparation to incision) and the factors, including delays, that affect their duration. We enrolled 1558 patients undergoing elective surgery in a tertiary medical center. The mean ART was 21 +/- 16 min. Mean SPT was 22 +/- 13 min, and mean case length was 207 +/- 123 min. Significant variation was seen in both ART (range, 1-115 min) and SPT (range, 1-130 min). Multivariate regression analysis revealed ASA physical status, age, level of resident training, invasive monitoring, case length, and case number in the room were all positive predictors of ART duration (P < 0.05). In contrast, gender, body mass index, number of anesthesia personnel concurrently in the room, and number of rooms covered per anesthesia attending were not predictors for ART (P > 0.05). Delays affected both ART and SPT and were encountered in 24.5% of all procedures (surgery 66.8%, anesthesiology 21.7%, and logistical 11.5%). For operating room scheduling purposes, we conclude that assigning a constant fixed duration for anesthetic induction is inappropriate and will result in creating erroneous administrative expectations.

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.

We designed this cross-sectional investigation to assess anesthesia release time (ART = patient-on-table until release for surgical preparation) and surgical preparation time (start of surgical preparation to incision) of children undergoing anesthesia and surgery (n = 656). Data collected by trained independent observers included variables such as age, ASA physical status, anesthetic technique, and placement of invasive monitoring. We found that mean ART was 11.0 +/- 9.7 min and the mean surgical preparation time was 11.1 +/- 10.0 min. Also, ART ranged from 7 +/- 7 min (for mask anesthesia) to 52 +/- 18 min (general anesthesia/endotracheal tube and invasive hemodynamic monitoring). The percentage of ART of the total case length was 15% +/- 7%, with a wide variability depending on the total case length. We also found that there is a significant variability in ART as a function of the surgical service involved (analysis of variance; P = 0.0001), ASA physical status (P = 0.0001), and age. For example, younger children had a significantly longer ART as compared with older children (P = 0.001). Room coverage ratio by the attending anesthesiologist and training level of the anesthesia resident did not impact ART (P = not significant). We conclude that ART in children undergoing surgery is highly variable and is a function of factors such as the surgical service involved, age of the child, and ASA physical status of the child. These factors should be considered when scheduling a surgical case.