Sources of Variation in Anesthetic Drug Costs.

BACKGROUND: Increasing attention has been focused on health care expenditures, which include anesthetic-related drug costs. Using data from 2 large academic medical centers, we sought to identify significant contributors to anesthetic drug cost variation. METHODS: Using anesthesia information management systems, we calculated volatile and intravenous drug costs for 8 types of inpatient surgical procedures performed from July 1, 2009, to December 31, 2011. For each case, we determined patient age, American Society of Anesthesiologists (ASA) physical status, gender, institution, case duration, in-room provider, and attending anesthesiologist. These variables were then entered into 2 fixed-effects linear regression models, both with logarithmically transformed case cost as the outcome variable. The first model included duration, attending anesthesiologist, patient age, ASA physical status, and patient gender as independent variables. The second model included case type, institution, patient age, ASA physical status, and patient gender as independent variables. When all variables were entered into 1 model, redundancy analyses showed that case type was highly correlated (R = 0.92) with the other variables in the model. More specifically, a model that included case type was no better at predicting cost than a model without the variable, as long as that model contained the combination of attending anesthesiologist and case duration. Therefore, because we were interested in determining the effect both variables had on cost, 2 models were created instead of 1. The average change in cost resulting from each variable compared to the average cost of the reference category was calculated by first exponentiating the ß coefficient and subtracting 1 to get the percent difference in cost. We then multiplied that value by the mean cost of the associated reference group. RESULTS: A total of 5504 records were identified, of which 4856 were analyzed. The median anesthetic drug cost was $38.45 (25th percentile = $23.23, 75th percentile = $63.82). The majority of the variation was not described by our models-35.2% was explained in the model containing case duration, and 32.3% was explained in the model containing case type. However, the largest sources of variation our models identified were attending anesthesiologist, case type, and procedure duration. With all else held constant, the average change in cost between attending anesthesiologists ranged from a cost decrease of $41.25 to a cost increase of $95.67 (10th percentile = -$19.96, 90th percentile = +$20.20) when compared to the provider with the median value for mean cost per case. The average change in cost between institutions was significant but minor ($5.73). CONCLUSIONS: The majority of the variation was not described by the models, possibly indicating high per-case random variation. The largest sources of variation identified by our models included attending anesthesiologist, procedure type, and case duration. The difference in cost between institutions was statistically significant but was minor. While many prior studies have found significant savings resulting from cost-reducing interventions, our findings suggest that because the overall cost of anesthetic drugs was small, the savings resulting from interventions focused on the clinical practice of attending anesthesiologists may be negligible, especially in institutions where access to more expensive drugs is already limited. Thus, cost-saving efforts may be better focused elsewhere.

Anesthesia for Lung Transplantation.

Perioperative management of patients undergoing lung transplantation is challenging and requires constant communication among the surgical, anesthesia, perfusion, and nursing teams. Although all aspects of anesthetic management are important, certain intraoperative strategies (mechanical ventilation, fluid management, extracorporeal mechanical support deployment) have tremendous impact on the subsequent evolution of the lung transplant recipient, especially with respect to allograft function, and should be carefully considered. This review highlights some of the intraoperative anesthetic challenges and opportunities during lung transplantation.

Ultrasound-Guided Thoracic Paravertebral Blockade: A Retrospective Study of the Incidence of Complications.

BACKGROUND: The benefits of thoracic paravertebral block (TPVB) have been demonstrated for patients undergoing surgery for breast cancer. However, pleural puncture resulting in pneumothorax is a serious complication associated with traditional approaches using guidance from anatomic landmarks and nerve stimulation and may contribute to the low utilization of this block. An ultrasound-guided technique has the potential to reduce complications by providing direct visualization of the paravertebral space during needle manipulation. We evaluated the complications using a single-injection, transverse, in-plane ultrasound-guided technique for paravertebral blockade in patients undergoing mastectomy with immediate reconstruction for breast cancer treatment or prophylaxis. METHODS: Data from all patients who underwent TPVB between January 1, 2010, and December 3, 2013, at Massachusetts General Hospital was prospectively recorded in a computerized database. All blocks were placed for postoperative analgesia after unilateral or bilateral mastectomy with immediate breast reconstruction. Medical records were retrospectively reviewed for any patient who developed complications including accidental pleural puncture, symptomatic pneumothorax, hypotension, or bradycardia, as well as signs and symptoms of toxicity or effects of local anesthetic outside of the paravertebral space. RESULTS: Eight hundred fifty-six patients underwent a total of 1427 thoracic paravertebral injections (285 unilateral and 571 bilateral TPVB). There were 6 complications (0.70%; 99.2% confidence interval, 0.17%-1.86%) including symptomatic bradycardia and hypotension (n = 3), vasovagal episode (n = 1), and evidence of possible local anesthetic toxicity (n = 2). There was no incidence of suspected accidental pleural puncture or symptomatic pneumothorax identified in our study population. CONCLUSIONS: The routine use of a single-injection, transverse, in-plane ultrasound-guided technique for TPVB in patients undergoing mastectomy with immediate breast reconstruction is associated with very few complications.

Speckle-Tracking Strain Imaging Identifies Alterations in Left Atrial Mechanics With General Anesthesia and Positive-Pressure Ventilation.

OBJECTIVES: The primary aim of this study was to use speckle-tracking strain imaging to evaluate the effect of general anesthesia (GA) and positive-pressure ventilation (PPV) on left atrial (LA) mechanics. The authors hypothesized that GA and PPV would be associated with a decrease in LA strain. The secondary aims were to investigate the effects of GA and PPV on traditional Doppler-derived measures of LA function and Doppler echocardiographic grade of diastolic function. DESIGN: A prospective observational study. SETTING: A university hospital. PARTICIPANTS: Adult patients undergoing cardiac surgery. INTERVENTIONS: Transthoracic echocardiography was performed at baseline and under GA with PPV. MEASUREMENTS AND MAIN RESULTS: Changes in LA function associated with GA and PPV were assessed using LA speckle-tracking strain imaging. A reduction was observed in LA peak longitudinal strain (24% v 18%, p<0.001) and preatrial contraction strain (13% v 8%, p<0.001). No difference was seen in LA contraction strain or atrial ejection fraction. Indexed LA volume and Doppler diastolic indices also were reduced significantly, and 39% of patients had a change in measured diastolic grade under GA with PPV. CONCLUSIONS: Speckle-tracking strain imaging of the left atrium demonstrated that GA and PPV had a significant impact on LA mechanics by decreasing strain measures of LA preload, with a lesser effect on LA contractility.

Development and validation of an intraoperative predictive model for unplanned postoperative intensive care.

BACKGROUND: The allocation of intensive care unit (ICU) beds for postoperative patients is a challenging daily task that could be assisted by the real-time detection of ICU needs. The goal of this study was to develop and validate an intraoperative predictive model for unplanned postoperative ICU use. METHODS: With the use of anesthesia information management system, postanesthesia care unit, and scheduling data, a data set was derived from adult in-patient noncardiac surgeries. Unplanned ICU admissions were identified (4,847 of 71,996; 6.7%), and a logistic regression model was developed for predicting unplanned ICU admission. The model performance was tested using bootstrap validation and compared with the Surgical Apgar Score using area under the curve for the receiver operating characteristic. RESULTS: The logistic regression model included 16 variables: age, American Society of Anesthesiologists physical status, emergency case, surgical service, and 12 intraoperative variables. The area under the curve was 0.905 (95% CI, 0.900-0.909). The bootstrap validation model area under the curves were 0.513 at booking, 0.688 at 3 h before case end, 0.738 at 2 h, 0.791 at 1 h, and 0.809 at case end. The Surgical Apgar Score area under the curve was 0.692. Unplanned ICU admissions had more ICU-free days than planned ICU admissions (5 vs. 4; P < 0.001) and similar mortality (5.6 vs. 6.0%; P = 0.248). CONCLUSIONS: The authors have developed and internally validated an intraoperative predictive model for unplanned postoperative ICU use. Incorporation of this model into a real-time data sniffer may improve the process of allocating ICU beds for postoperative patients.

Inclusion of mesh in donor-site repair of free TRAM and muscle-sparing free TRAM flaps yields rates of abdominal complications comparable to those of DIEP flap reconstruction.

BACKGROUND: Pedicled and free transverse rectus abdominis musculocutaneous (TRAM) flaps remain popular for autologous breast reconstruction, but the incidence of abdominal donor-site bulge and hernia is significantly greater when compared with deep inferior epigastric artery perforator (DIEP) flap reconstruction. Mesh repair after muscle harvest, however, may reduce the complication rate to that observed with perforator flaps alone. METHODS: A retrospective review of all free flap breast reconstructions at the University of California, Los Angeles Medical Center from 2002 to 2007 was performed. Abdominal bulge and hernia were noted for patients undergoing free TRAM and muscle-sparing free TRAM flap reconstructions and were compared with those observed following DIEP flap reconstructions. RESULTS: A total of 275 free TRAM plus muscle-sparing free TRAM flaps and 200 DIEP flaps were performed. Among patients with free and muscle-sparing free TRAM flaps, 11.3 percent were found to have postoperative abdominal bulge or hernia. Only 3.5 percent of DIEP flap patients had abdominal complications. Incorporating mesh into the rectus fascia repair significantly reduced the abdominal complications reported to 5.1 percent. Of the 86 free and muscle-sparing free TRAM flaps that were bilateral, 12.8 percent had hernias/bulges. Use of mesh with bilateral free and muscle-sparing free TRAM flaps reduced the complication rate to 3.7 percent. CONCLUSIONS: Incorporating mesh into rectus fascia repair in free and muscle-sparing free TRAM flap cases significantly reduces the rate of postoperative abdominal complications to levels equivalent to those for DIEP flap reconstructions. The authors advocate deciding intraoperatively between DIEP and muscle-sparing free TRAM flap dissections based on ease of dissection and whichever offers optimal safety and flap perfusion. Routine use of mesh in donor-site repair will decrease postoperative abdominal morbidity in unilateral and bilateral cases.