Secondary Logo

Journal Logo

Institutional members access full text with Ovid®

Validated Model for Predicting Postoperative Respiratory Failure: Analysis of 1706 Abdominal Wall Reconstructions

Fischer, John P. M.D.; Shang, Eric K. M.D.; Butler, Charles E. M.D.; Nelson, Jonas A. M.D.; Braslow, Benjamin M. M.D.; Serletti, Joseph M. M.D.; Kovach, Stephen J. M.D.

Plastic and Reconstructive Surgery: November 2013 - Volume 132 - Issue 5 - p 826e–835e
doi: 10.1097/PRS.0b013e3182a4c442
Reconstructive: Trunk: Original Articles

Background: Abdominal wall reconstruction can be associated with significant rates of respiratory events. In this current study, the authors aim to characterize perioperative risk factors associated with postoperative respiratory failure and derive a model with which to predict postoperative respiratory failure.

Methods: The authors reviewed the 2005 to 2010 American College of Surgeons National Surgical Quality Improvement Program databases, identifying encounters for Current Procedural Terminology codes for both hernia repair (49560, 49561, 49565, 49566, and 49568) and component separation (15734). A predictive model of postoperative respiratory failure was developed using logistic regression analyses and validated using a bootstrap technique.

Results: Of 1706 patients undergoing complex abdominal reconstructions in the study period, 102 (6.0 percent) experienced postoperative respiratory failure. Patients experiencing postoperative respiratory failure had longer admissions (21.0 ± 18.5 versus 5.9 ± 5.5 days, p < 0.001) and a higher mortality rate (14.7 percent versus 0.1 percent, p < 0.001). Multivariate logistic regression revealed eight variables significantly associated with postoperative respiratory failure. A history of chronic obstructive pulmonary disease (p < 0.001), dyspnea at rest (p = 0.032), dependent functional status (p = 0.032), malnutrition (p < 0.001), recurrent incarcerated hernia (p = 0.006), concurrent intraabdominal procedure (p = 0.041), American Society of Anesthesiologists score greater than 3 (p < 0.001), and prolonged operative time (p < 0.001) were independently associated with higher rates of postoperative respiratory failure. The multivariate model was internally validated using a bootstrap technique and had good discrimination (c statistic = 0.78).

Conclusions: A validated predictive model and clinical risk-assessment tool of postoperative respiratory failure following abdominal wall reconstruction is presented. Respiratory complications were associated with significantly longer hospital stays and higher rates of mortality. Data derived from this large cohort can be used to risk-stratify patients and to enhance perioperative decisionmaking.


Philadelphia, Pa.; and Houston, Texas

From the Division of Plastic Surgery and the Department of Surgery, Hospital of the University of Pennsylvania; and the Department of Plastic Surgery, The University of Texas M. D. Anderson Cancer Center.

Received for publication April 30, 2013; accepted May 13, 2013.

Disclosure:The authors report no relevant financial disclosures related to this current work. This particular research received no internal or external grant funding.

John P. Fischer, M.D., Division of Plastic Surgery, University of Pennsylvania, 3400 Spruce Street, Philadelphia, Pa. 19104,

©2013American Society of Plastic Surgeons