Preoperative Risk Factors and Surgical Complexity Are More Predictive of Costs Than Postoperative Complications: A Case Study Using the National Surgical Quality Improvement Program (NSQIP) Database

2006 ◽  
Vol 2006 ◽  
pp. 16-17
Author(s):  
E.M. Copeland
2017 ◽  
Vol 19 (3) ◽  
pp. 361-371 ◽  
Author(s):  
Benjamin J. Kuo ◽  
Joao Ricardo N. Vissoci ◽  
Joseph R. Egger ◽  
Emily R. Smith ◽  
Gerald A. Grant ◽  
...  

OBJECTIVE Existing studies have shown a high overall rate of adverse events (AEs) following pediatric neurosurgical procedures. However, little is known regarding the morbidity of specific procedures or the association with risk factors to help guide quality improvement (QI) initiatives. The goal of this study was to describe the 30-day mortality and AE rates for pediatric neurosurgical procedures by using the American College of Surgeons (ACS) National Surgical Quality Improvement Program–Pediatrics (NSQIP-Peds) database platform. METHODS Data on 9996 pediatric neurosurgical patients were acquired from the 2012–2014 NSQIP-Peds participant user file. Neurosurgical cases were analyzed by the NSQIP-Peds targeted procedure categories, including craniotomy/craniectomy, defect repair, laminectomy, shunts, and implants. The primary outcome measure was 30-day mortality, with secondary outcomes including individual AEs, composite morbidity (all AEs excluding mortality and unplanned reoperation), surgical-site infection, and unplanned reoperation. Univariate analysis was performed between individual AEs and patient characteristics using Fischer's exact test. Associations between individual AEs and continuous variables (duration from admission to operation, work relative value unit, and operation time) were examined using the Student t-test. Patient characteristics and continuous variables associated with any AE by univariate analysis were used to develop category-specific multivariable models through backward stepwise logistic regression. RESULTS The authors analyzed 3383 craniotomy/craniectomy, 242 defect repair, 1811 laminectomy, and 4560 shunt and implant cases and found a composite overall morbidity of 30.2%, 38.8%, 10.2%, and 10.7%, respectively. Unplanned reoperation rates were highest for defect repair (29.8%). The mortality rate ranged from 0.1% to 1.2%. Preoperative ventilator dependence was a significant predictor of any AE for all procedure groups, whereas admission from outside hospital transfer was a significant predictor of any AE for all procedure groups except craniotomy/craniectomy. CONCLUSIONS This analysis of NSQIP-Peds, a large risk-adjusted national data set, confirms low perioperative mortality but high morbidity for pediatric neurosurgical procedures. These data provide a baseline understanding of current expected clinical outcomes for pediatric neurosurgical procedures, identify the need for collecting neurosurgery-specific risk factors and complications, and should support targeted QI programs and clinical management interventions to improve care of children.


2020 ◽  
pp. 073346482094469
Author(s):  
John C. Warwick ◽  
Ethan Y. Brovman ◽  
Sascha S. Beutler ◽  
Richard D. Urman

To identify patient risk factors for nonhome discharge (NHD) for home-dwelling older patients undergoing surgery, we performed a retrospective cohort study of patients aged ≥65 years undergoing elective surgery between 2014 and 2016 using the geriatric research file from the National Surgical Quality Improvement Program (NSQIP). Multivariable logistic regression examined the association between preoperative demographics, comorbidities, and functional status and NHD to determine which factors are most strongly predictive of NHD. Risk of NHD was higher among those of age >85 years, age 75 to 85 years, Black race, with body mass index (BMI) >30, dyspnea with exertion or at rest, partially or totally dependent in activities of daily living (ADLs), preoperative steroid use, preoperative wound infection, use of a mobility aid, fall within 3 months, or living alone at home without support. NHDs were statistically more likely among orthopedic, neurosurgery, or cardiac surgery interventions. Understanding individual patient’s risks and setting expectations for likely postoperative course is integral to appropriate preoperative counseling and preoperative optimization.


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