TY - JOUR
T1 - Predictors and causes of unplanned re-operations in outpatient plastic surgery
T2 - A multi-institutional analysis of 6749 patients using the 2011 NSQIP database
AU - Lim, Seokchun
AU - Jordan, Sumanas W.
AU - Jain, Umang
AU - Kim, John Y.S.
PY - 2014/8
Y1 - 2014/8
N2 - Unplanned re-operations carry significant implications for healthcare services, surgical outcomes, and patient safety. However, there has been a paucity of large scale, multi-centre studies that evaluate the predictors and causes of unplanned re-operation in outpatient plastic surgery. This study retrospectively reviewed the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) and identified all plastic surgery outpatient cases performed in 2011. Multiple logistic regression analysis was utilised to identify independent risk factors and causes of unplanned reoperations. Of the 6749 outpatient plastic surgery cases identified, there were 125 (1.9%) unplanned re-operations (UR). Regression analysis demonstrated that body mass index (BMI, OR = 1.041, 95% CI = 1.019-1.065), preoperative open wound/wound infection (OR = 3.498, 95% CI = 1.593-7.678), American Society of Anesthesiologists (ASA) class 3 (OR = 2.235, 95% CI = 1.048-4.765), and total work relative value units (RVU, OR = 1.014, 95% CI = 1.005-1.024) were significantly predictive of UR. Additionally, the presence of any complication was significantly associated with UR (OR = 15.065, 95% CI = 5.705-39.781). In an era of outcomes-driven medicine, unplanned re-operation is a critical quality indicator for ambulatory plastic surgery facilities. The identified risk factors will aid in surgical planning and risk adjustment.
AB - Unplanned re-operations carry significant implications for healthcare services, surgical outcomes, and patient safety. However, there has been a paucity of large scale, multi-centre studies that evaluate the predictors and causes of unplanned re-operation in outpatient plastic surgery. This study retrospectively reviewed the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) and identified all plastic surgery outpatient cases performed in 2011. Multiple logistic regression analysis was utilised to identify independent risk factors and causes of unplanned reoperations. Of the 6749 outpatient plastic surgery cases identified, there were 125 (1.9%) unplanned re-operations (UR). Regression analysis demonstrated that body mass index (BMI, OR = 1.041, 95% CI = 1.019-1.065), preoperative open wound/wound infection (OR = 3.498, 95% CI = 1.593-7.678), American Society of Anesthesiologists (ASA) class 3 (OR = 2.235, 95% CI = 1.048-4.765), and total work relative value units (RVU, OR = 1.014, 95% CI = 1.005-1.024) were significantly predictive of UR. Additionally, the presence of any complication was significantly associated with UR (OR = 15.065, 95% CI = 5.705-39.781). In an era of outcomes-driven medicine, unplanned re-operation is a critical quality indicator for ambulatory plastic surgery facilities. The identified risk factors will aid in surgical planning and risk adjustment.
KW - Outcomes
KW - Outpatient
KW - Plastic surgery
KW - Re-operation
UR - http://www.scopus.com/inward/record.url?scp=84904291952&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84904291952&partnerID=8YFLogxK
U2 - 10.3109/2000656X.2013.871287
DO - 10.3109/2000656X.2013.871287
M3 - Article
C2 - 24533745
AN - SCOPUS:84904291952
SN - 2000-656X
VL - 48
SP - 270
EP - 275
JO - Scandinavian Journal of Plastic and Reconstructive Surgery
JF - Scandinavian Journal of Plastic and Reconstructive Surgery
IS - 4
ER -